Milk in the Northeast and Other Marketing Areas; Proposed Amendments to Marketing Agreements and Orders, 57580-57687 [2024-14769]

Download as PDF 57580 Federal Register / Vol. 89, No. 135 / Monday, July 15, 2024 / Proposed Rules DEPARTMENT OF AGRICULTURE Agricultural Marketing Service 7 CFR Parts 1000, 1001, 1005, 1006, 1007, 1030, 1032, 1033, 1051, 1124, 1126, and 1131 [Doc. No. AMS–DA–23–0031] Milk in the Northeast and Other Marketing Areas; Proposed Amendments to Marketing Agreements and Orders Agricultural Marketing Service, USDA. ACTION: Proposed rule. AGENCY: This decision proposes to amend the pricing provisions in the 11 Federal Milk Marketing Orders (FMMOs). SUMMARY: Written exceptions and comments to this proposed rule must be submitted on or before September 13, 2024. DATES: Written exceptions should be filed with the Office of the Hearing Clerk, U.S. Department of Agriculture, 1400 Independence Ave. SW, Stop 9203, Room 1031, Washington, DC 20250–9203; Fax: (844) 325–6940 or via the internet at https:// www.regulations.gov. All comments should reference the docket number and the date and page number of this issue of the Federal Register. Comments will be made available for public inspection in the Office of the Hearing Clerk during regular business hours or can be viewed at https://www.regulations.gov. A plainlanguage summary of this proposed rule is available at https:// www.regulations.gov in the docket for this rulemaking. FOR FURTHER INFORMATION CONTACT: Erin Taylor, USDA/AMS/Dairy Programs, Order Formulation and Enforcement Branch, STOP 0231–Room 2530, 1400 Independence Avenue SW, Washington, DC 20250–0231, Telephone: (202) 720– 7183, Email address: Erin.Taylor@ usda.gov. ADDRESSES: This recommended decision proposes amendments to five categories of milk pricing: 1. Milk Composition Factors. Update the factors to 3.3 percent true protein, 6 percent other solids, and 9.3 percent nonfat solids. 2. Surveyed Commodity Products. Remove 500-pound barrel cheddar cheese prices from the Dairy Products Mandatory Reporting Program (DPMRP) survey and rely solely on the 40-pound block cheddar cheese price to determine ddrumheller on DSK120RN23PROD with PROPOSALS3 SUPPLEMENTARY INFORMATION: VerDate Sep<11>2014 19:40 Jul 12, 2024 Jkt 262001 the monthly average cheese price used in the formulas. 3. Class III and Class IV Formula Factors. Update the manufacturing allowances to: Cheese: $0.2504; Butter: $0.2257; Nonfat Dry Milk (NFDM): $0.2268; and Dry Whey: $0.2653. This decision also proposes updating the butterfat recovery factor to 91 percent. 4. Base Class I Skim Milk Price. Update the formula as follows: the base Class I skim milk price would be the higher-of the advanced Class III or Class IV skim milk prices for the month. In addition, adopt a Class I extended shelf life (ESL) adjustment equating to a Class I price for all ESL products equal to the average-of mover, plus a 24-month rolling average adjuster with a 12-month lag. 5. Class I and Class II differentials. Keep the $1.60 base differential and adopt modified location specific Class I differential values. In conjunction with this Recommended Decision, the Agricultural Marketing Service (AMS) conducted a Regulatory Economic Impact Analysis to determine the potential impact of amending FMMO pricing formulas on producer revenue and marketwide pool values. AMS used a static analysis incorporating actual data reported from January 2019 to December 2023 to determine the estimated price impacts of the package of amendments included in this Recommended Decision. The full text of the Regulatory Economic Impact Analysis may be accessed at https:// www.regulations.gov or https:// www.ams.usda.gov/rules-regulations/ moa/dairy/hearings/national-fmmopricing-hearing. Prior Documents in This Proceeding Notice of Hearing: Published July 24, 2023 (88 FR 47396). Notice of Reconvened Hearing: Published November 6, 2023 (88 FR 76143). Notice of Reconvened Hearing: Published December 29, 2023 (88 FR 90134). This administrative action is governed by sections 556 and 557 of title 5 of the United States Code and, therefore, is excluded from the requirements of Executive Orders 12866, 13563, and 13175. The amendments to the rules proposed herein have been reviewed under Executive Order 12988, Civil Justice Reform. They are not intended to have a retroactive effect. If adopted, the proposed amendments would not preempt any state or local laws, regulations, or policies, unless they PO 00000 Frm 00002 Fmt 4701 Sfmt 4702 present an irreconcilable conflict with this rule. The Agricultural Marketing Agreement Act of 1937, as amended (7 U.S.C. 601–674) (AMAA), provides that administrative proceedings must be exhausted before parties may file suit in court. Under section 608c(15)(A) of the AMAA, any handler subject to an order may request modification or exemption from such order by filing a petition with the USDA stating that the order, any provision of the order, or any obligation imposed in connection with the order is not in accordance with the law. A handler is afforded the opportunity for a hearing on the petition. After a hearing, USDA would rule on the petition. The AMAA provides that the district court of the United States in any district in which the handler is an inhabitant, or has its principal place of business, has jurisdiction in equity to review USDA’s ruling on the petition, provided a bill in equity is filed not later than 20 days after the date of the entry of the ruling. Civil Rights Impact Analysis AMS has reviewed this rulemaking in accordance with USDA Departmental Regulation 4300–004, Civil Rights Impact Analysis, to identify any major civil rights impacts the rule might have on FMMO participants on the basis of race, color, national origin, disability, sex, gender identity, political beliefs, age, marital, family/parental status, religion, sexual orientation, reprisal, or because of an individuals’ income is derived from any public assistance program. Based on the review and analysis of the rule and all available data, issuance of this proposed rule is not likely to negatively impact low and moderate-income populations, minority populations, women, Tribes or persons with disabilities, by virtue of their age, race, color, national origin, sex, disability, or marital or familial status. No major civil rights impact is likely to result from this proposed rule. Regulatory Flexibility Act and Paperwork Reduction Act In accordance with the Regulatory Flexibility Act (RFA) (5 U.S.C. 601 et seq.), the AMS has considered the economic impact of this action on small entities. Accordingly, AMS has prepared this initial regulatory flexibility analysis. The purpose of the RFA is to fit regulatory actions to the scale of businesses subject to such actions so that small businesses will not be unduly or disproportionately burdened. Marketing orders and amendments thereto are unique in that they are normally brought about through E:\FR\FM\15JYP3.SGM 15JYP3 Federal Register / Vol. 89, No. 135 / Monday, July 15, 2024 / Proposed Rules group action of essentially small entities for their own benefit. A small dairy farm as defined by the Small Business Administration (SBA) (13 CFR 121.201) is one that has an annual gross revenue of $3.75 million or less, and a small NAICS code ddrumheller on DSK120RN23PROD with PROPOSALS3 311511 311512 311513 311514 Size standards in number of employees Fluid Milk Manufacturing ......................................................................................................................... Creamery Butter Manufacturing ............................................................................................................. Cheese Manufacturing ............................................................................................................................ Dry, Condensed, and Evaporated Dairy Product Manufacturing ........................................................... To determine which dairy farms are ‘‘small businesses,’’ the $3.75 million per year income limit was used to establish an annual milk marketing threshold of 18.3 million pounds. Although this threshold does not factor in additional monies that may be received by dairy producers, it should be an accurate standard for most ‘‘small’’ dairy farmers. Based on the U.S. 2023 average yield per cow and 2023 NASS average All-Milk price, a dairy farm with approximately 780 cows or fewer would meet the definition of small business. In 2022, the most recent year with statistics available, there were 24,470 dairy farms with milk sales, of which approximately 19,576 had milk regulated on an FMMO for at least one month of the year. Based on the 2022 Census of Agriculture, Milk Cow Herd Size by Inventory and Sales, an estimated 89 percent of operations with milk sales are likely to be small businesses. To determine a handler’s size, if the plant is part of a larger company operating multiple plants that collectively exceed the 750-employee limit for creamery butter manufacturing; the 1,000-employee limit for dry, condensed, and evaporated dairy product manufacturing; the 1,150employee limit for fluid milk manufacturing; or the 1,250-employee limit for cheese manufacturing; the plant was considered a large business even if the local plant does not exceed the 750, 1,000, 1,150, or 1,250-employee limit, respectively. In 2022, the following number of plants were regulated for at least one month of the year in each FMMO: 66 plants on the Northeast, 19 plants on the Appalachian, 9 plants on the Florida, 20 plants on the Southeast, 58 plants on the Upper Midwest, 32 plants on the Central, 43 plants on the Mideast, 24 plants on California, 17 plants on the Pacific Northwest, 26 plants on the Southwest, and 8 plants on Arizona. According to the 2022 Census of Agriculture, approximately 86 percent of fluid milk manufacturing plants, approximately 96 percent of cheese plants, approximately 82 percent of dry VerDate Sep<11>2014 dairy products manufacturer is one that has no more than the number of employees listed in the chart below: NAICS U.S. industry title .............. .............. .............. .............. 19:40 Jul 12, 2024 Jkt 262001 57581 1,150 750 1,250 1,000 the DPMRP survey. A monthly average of those prices is used to represent commodity cheese in the Class III price formula. The butterfat value in How FMMO Pricing Provisions Currently commodity salted butter is the driver of Operate the butterfat price used in all classified The amendments recommended for prices. The proposed amendments adoption in this decision cover five milk would eliminate 500-lb barrels from the pricing subject areas: Milk Composition DPMRP survey and rely solely on the Factors, Surveyed Commodity Products, monthly average survey price for 40-lb Class III and Class IV Formula Factors, cheddar blocks. The amendment is base Class I skim milk price (Class I intended to provide for more orderly mover), and Class I and II Differentials. marketing through a survey of only one This decision proposes to amend product. Class III and IV Formulas Factors. provisions in all five pricing subject Make allowances are a factor in the areas. The amendments are intended to update formulas and factors in response FMMO pricing formulas representing the cost of converting raw milk into the to industry changes over time, many of four manufactured dairy products which have not been updated since the surveyed by USDA (butter, cheese, provisions were adopted on January 1, nonfat dry milk, and dry whey). Make 2000, to ensure USDA is carrying out allowances were last updated in 2008 the purposes of the AMAA. Milk Composition Factors. FMMO following a rulemaking proceeding in milk prices are based on three primary 2007. The proposed amendments would components—protein, other solids, and update the make allowances in the nonfat solids. Skim milk composition FMMO Class III and IV formulas to the factors in the current price formulas following: $0.2504 for cheese; $0.2257 codified in the FMMO regulations were for butter; $0.2268 for NFDM; and adopted in 2000: 3.1 percent protein, 5.9 $0.2653 for dry whey. The proposed percent other solids, and 9 percent amendments would also update the nonfat solids. The proposed butterfat recovery factor in the Class III amendments would increase milk formula to 91 percent. The amendments composition factors to 3.3 percent are intended to update the formula protein, 6.0 percent other solids, and 9.3 factors to be more representative of percent nonfat solids. Actual current costs and butterfat recovery component tests of skim milk have observed in dairy product increased since 2000, with more manufacturing. Class I mover. The Class I mover is significant increases beginning in 2016. the base price for the skim milk portion The amendments are intended to more of raw milk used in the production of accurately represent component levels Class I products. The Agriculture in milk produced. Improvement Act of 2018 (2018 Farm Surveyed Commodity Products. Milk Bill) amended the Class I skim milk prices under FMMOs are related to price mover from the ‘‘higher of’’ Class wholesale prices for butter, cheese, III or Class IV skim prices to a simple nonfat dry milk, and dry whey. The average of the two classes plus $0.74, formulas use USDA-surveyed average referred to as the ‘‘average of’’ mover. wholesale prices to calculate milk The proposed amendments would component prices (butterfat, protein, return the base Class I skim milk price nonfat solids, and other solids) that are calculation to the higher-of Class III or converted to Class III and IV milk Class IV skim prices. The proposed prices. The protein value in cheese is a amendments would also adopt a rolling component of the Class III price. monthly Class I ESL adjustment Currently, the prices of commodity cheddar cheese packaged in 40-lb blocks equating to a Class I price for all ESL (‘‘blocks’’) and 500-lb barrels (‘‘barrels’’) products equal to the average-of the Class III and Class IV advance prices, are collected weekly by AMS through products plants, and approximately 78 percent of butter plants met the SBA definition of small businesses. PO 00000 Frm 00003 Fmt 4701 Sfmt 4702 E:\FR\FM\15JYP3.SGM 15JYP3 57582 Federal Register / Vol. 89, No. 135 / Monday, July 15, 2024 / Proposed Rules ddrumheller on DSK120RN23PROD with PROPOSALS3 plus a 24-month rolling average adjuster, with a 12-month lag. The monthly Class I ESL adjustment would be calculated as the average of the differences between the higher-of and the average-of calculations for the prior 13 to 36 months. The amendments are intended to provide for more orderly marketing by returning to the higher-of mover; while the Class I ESL adjustment would provide better price equity for ESL products whose marketing characteristics are distinct from other Class I products. Class I and II Differentials. FMMO Class I prices are calculated as the average of the advanced Class III and Class IV prices, plus $0.74, plus a location-specific differential referred to as a Class I differential. As the value of milk varies by location, Class I differentials have been determined for every county in the continental U.S. Current Class I differential levels were implemented January 1, 2000, with updates to the differentials in the three southeastern orders taking effect May 1, 2008. The proposed amendments would retain the $1.60 base differential and adopt modified location-specific Class I differential values. The amendments are intended to recognize the evolution of the dairy industry since 2000 and the increased cost of servicing the Class I market given current transportation costs and plant and producer locations. This decision finds these amendments are necessary. The evidentiary record reflected testimony from a broad range of stakeholder views that updates are necessary in all five pricing subject areas to reflect current market conditions. Impact on Small Businesses An economic analysis has been performed on impacts the proposed amendments will have on industry participants, including producers and handlers. It can be found on the AMS website at https://www.ams.usda.gov/ rules-regulations/moa/dairy/hearings/ national-fmmo-pricing-hearing. The proposed amendments would be applied identically to all proprietary and cooperative handlers regulated by FMMOs, regardless of their size. The proposed amendments would implement prices that more accurately reflect current market conditions, providing for more orderly marketing for both small and large producers and handlers. AMS considered alternatives to each of the recommended amendments. Over 49 days of hearing, dozens of witnesses from 9 industry stakeholder groups presented testimony and evidence on 21 proposals in the 5 pricing subject areas. VerDate Sep<11>2014 19:40 Jul 12, 2024 Jkt 262001 AMS considered all evidence and testimony, including alternative proposals presented, in making its recommendations. A review of reporting requirements was completed under the Paperwork Reduction Act of 1995 (44 U.S.C. Chapter 35). It was determined that these proposed amendments would have no impact on reporting, recordkeeping, or other compliance requirements because they would remain identical to the current requirements. No new forms are proposed, and no additional reporting requirements would be necessary. This proposed rule does not require additional information collection that requires clearance by the Office of Management and Budget (OMB) beyond currently approved information collection. The primary sources of data used to complete the forms are routinely used in most business transactions. Forms require only a minimal amount of information which can be supplied without data processing equipment or a trained statistical staff. Thus, since the information is already provided, no new information collection requirements are needed, and the current information collection and reporting burden is relatively small. Requiring the same reports for all handlers does not significantly disadvantage any handler that is smaller than the industry average. AMS is committed to complying with the E-Government Act, to promote the use of the internet and other information technologies to provide increased opportunities for citizen access to Government information and services, and for other purposes. No other burdens are expected to fall on the dairy industry as a result of this rulemaking. This rulemaking does not duplicate, overlap, or conflict with any existing Federal rules. Preliminary Statement A public hearing was held upon proposed amendments to the marketing agreement and the orders regulating the handling of milk in all 11 Federal milk marketing areas. The hearing was held pursuant to the provisions of the AMAA, as amended (7 U.S.C. 601–674), and the applicable rules of practice and procedure governing the formulation of marketing agreements and marketing orders (7 CFR part 900). The proposed amendments set forth below are based on the record of a public hearing held in Carmel, IN, from August 23–October 11, 2023, November 27–December 8, 2023, January 16–19, 2024, and January 29–31, 2024, pursuant to a notice of hearing PO 00000 Frm 00004 Fmt 4701 Sfmt 4702 published July 24, 2023 (88 FR 47396), a notice of reconvened hearing published November 6, 2023 (88 FR 76143), and a second notice of reconvened hearing, published December 29, 2023 (88 FR 90134). The hearing was held to receive evidence on 21 proposals submitted by dairy farmers, handlers, and other interested parties. A total of 165 witnesses testified over the course of the 49-day hearing. Witnesses provided an overview of the complexity of the U.S. dairy industry and submitted 511 exhibits containing supporting data, analyses, and historical information. The material issues, related to FMMO pricing formulas, presented on the record of hearing are as follows: 1. Milk Composition Factors 2. Surveyed Commodity Products 3. Class III and Class IV Formula Factors 4. Base Class I Skim Milk Price 5. Class I and Class II differentials Summary of Testimony Milk Composition Two proposals seeking to amend the milk composition standards are being considered in this rulemaking. Proposal 1, submitted by the National Milk Producers Federation (NMPF) seeks to increase the skim component factors, with a 12-month implementation lag. The proposed standards are as follows: increase the nonfat solids assumption from 9.0 to 9.41 per hundredweight (cwt) of Class IV skim milk; increase the protein assumption from 3.1 to 3.39 per cwt of Class III skim milk; and increase the other solids assumption from 5.9 to 6.02 per cwt of Class III skim milk. Proposal 1 also contains an updating methodology that would automatically update the standards no more than once every three years once the nonfat solids component for the prior three years changes by at least .07 percentage points. Proposal 2, submitted on behalf of National All-Jersey (NAJ), is identical to Proposal 1, except for the automatic update methodology. The proposal would update the standards annually using the previous year’s weighted averages, with a 12-month implementation lag. A witness from NMPF, a trade association representing dairy farmerowned cooperative marketing associations throughout the United States, testified in support of updating the skim milk price milk component factors, as contained in Proposal 1. The witness explained how the U.S. dairy industry has undergone dynamic structural change since 2000, while FMMO product price formulas have E:\FR\FM\15JYP3.SGM 15JYP3 ddrumheller on DSK120RN23PROD with PROPOSALS3 Federal Register / Vol. 89, No. 135 / Monday, July 15, 2024 / Proposed Rules generally remained static. The witness stated dairy farmers have responded to component pricing by significantly increasing the butterfat, protein, and other solid levels in their milking herds. According to the USDA’s National Agricultural Statistics Service (NASS), said the witness, average butterfat tests have increased 10.9 percent from 2000 to 2022, and USDA’s Economic Research Service (ERS) reported average skim milk solids content of U.S. milk production increased 0.31 percent during the same period. The witness said 2022 FMMO average protein, other solids, and nonfat solids (NFS) in pooled milk were 3.39 percent, 6.02 percent, and 9.41 percent, respectively. The NMPF witness asserted the static component levels contained in the formulas result in underpayments to producers in all FMMO’s for the value of their Class I skim milk. Therefore, NMPF proposes to increase the milk composition factors in skim milk to 2022 levels. The NMPF witness analyzed 2013–2022 FMMO product prices and concluded adoption of Proposal 1 would have increased the Class III skim price by $0.80 per cwt and the Class IV skim milk price by $0.41 per cwt. An increase from the 2022based skim milk component factors by the proposed 0.07 percentage point threshold level, the witness added, would have increased the Class III and Class IV prices by $0.14 and $0.07 per cwt, respectively. Another NMPF witness testified the announced FMMO Class III and Class IV skim milk values do not reflect the current component levels of producer milk, resulting in announced prices being lower than actual market values. The witness said this leads to a misalignment of fluid and manufacturing milk, possibly leading to disorderly marketing conditions. This occurs because the Class I Mover skim milk price is calculated based on skim milk component levels based on 2000 levels, narrowing the difference between Class I prices and manufacturing milk prices (Classes III and IV) and resulting in more instances of price inversions and depooling. Several NMPF dairy farmer witnesses testified in support of Proposal 1. The witnesses stated improved genetics and feed quality have caused component levels in the milk they market to increase. The witnesses stated component levels in the pricing formulas should be updated to reflect the additional protein produced. An NMPF witness testified regarding their work as a business consultant with dairy farmers. The witness said dairy farming costs have been consistently VerDate Sep<11>2014 19:40 Jul 12, 2024 Jkt 262001 increasing due to higher feed prices, overall inflation, interest rate increases, and rising costs associated with labor and environmental regulations. The witness estimated the average margin per cwt of milk produced over the past decade was less than $1, or approximately 4 to 7 percent of the average milk price. It was the witness’s opinion that financially sustainable margins are necessary to avoid further consolidation in the industry. An NMPF dairy farmer witness testified that monthly pay price volatility has increased since 2000. According to the witness, in 2000 their pay price varied $0.52, from a high of $12.95 to a low of $12.43. In the 12 months prior to August 2023, the witness said the variance was $7.46, ranging from $22.50 to $15.04, while costs continued to rise, including the price of corn and soybean meal more than doubling. The witness said that during the same 12-month period their milk output rose over 10,000 pounds. The witness attributed improvements in cow comfort, genetics, and feed quality to the increases in milk output and component levels but opined low component standards were depressing producer price differentials (PPDs) and discouraging milk from supplying the Class I market. NMPF, in their post-hearing brief, offered additional support for Proposal 1. The brief credited significant advances related to animal genetics, farm management, and cow nutrition as contributing to rising skim milk component levels. NMPF reiterated hearing testimony regarding the static component levels in the formulas leading to a narrowing of the difference between Class I and manufacturing milk prices resulting in more price inversions, larger volumes of depooled milk, and resulting in disorderly marketing. NMPF stated higher skim milk component levels have value in the competitive manufacturing dairy market, which is the basis for determining Class I values. NMPF stated that increasing the skim milk components in the formulas to reflect current levels would recognize the current average value of producer milk used for manufacturing dairy products and result in a Class I price that properly reflects base milk values. Additionally, NMPF argued delayed implementation of updated component level factors is necessary because of dairy farmers’ use of risk management programs. Such a delay would allow for the completion of most transactions placed prior to announcement of the change. PO 00000 Frm 00005 Fmt 4701 Sfmt 4702 57583 A Dairy Farmers of America, Inc. (DFA) witness, appearing on behalf of NMPF, testified the failure to delay an update in skim component standards would cause financial harm to dairy farmers, milk plants, end users, and others who entered into riskmanagement transactions. DFA is a dairy farmer cooperative and owns and operates 14 manufacturing plants which produce liquid whey, Italian cheese, skim milk powder, whole milk powder, American-style cheese, condensed milk, cream, nonfat dry milk, milk protein concentrate (MPC), sweetened condensed milk, and dry whey. The witness testified that failure to delay implementation would affect the basis, or the profit margin for milk being hedged. The witness testified that 35 to 45 percent of the U.S. milk supply was hedged by dairy farmers and there is a growing demand for risk management services among larger-sized dairies. A witness representing the American Farm Bureau Federation (AFBF), a farmer advocacy organization with approximately 6 million members throughout the U.S., testified in support of Proposal 1. The witness estimated that raising the skim component standards would increase the Class I price by an average of $0.70 per cwt, based on 2022 data. Consequently, raising the skim component standards would help bring the Class I, III, and IV prices in alignment, reduce the frequency of negative PPDs, and reduce the incentives for depooling, which the witness said undermines orderly marketing. The witness stated that raising the value of the skim milk in the manufacturing classes for the skim and butterfat markets would reduce the incentive of manufacturing plants in the multiple component pricing (MCP) orders to pool milk, which would lower the producer’s price and discourage milk from entering a milk deficit region. The witness testified that updating component standards would address some price misalignment issues and is preferred to prevent handlers from depooling. AFBF offered support in their posthearing brief stating Proposal 1 would more accurately define the market value of skim milk pooled on FMMOs. The brief asserted the resulting increase in Class I prices would reduce the incidences of price misalignment with Class III and IV prices, reduce the size and frequency of negative PPDs, and reduce depooling incentives. AFBF supported periodic adjustments to component levels, as contained in Proposal 1, to account for the continuing increases in the component levels, but specified these levels should E:\FR\FM\15JYP3.SGM 15JYP3 ddrumheller on DSK120RN23PROD with PROPOSALS3 57584 Federal Register / Vol. 89, No. 135 / Monday, July 15, 2024 / Proposed Rules only be changed in the positive direction. In AFBF’s opinion, more frequent updates, as contained in Proposal 2, would be disruptive. A witness representing NAJ, an organization representing the interests of Jersey cattle breeders, testified in support of Proposal 2, which proposes the same milk composition levels as Proposal 1, with automatic annual updates. The witness said many factors have contributed to increased component levels, including improved genomics, increased use of genderselected semen, and volume-based programs such as base/excess programs. The witness testified an annual update would provide improved accuracy because of the recently accelerated pace of component increases and would have better alignment with pricing between butterfat/skim and multiple component pricing FMMOs. Additionally, the witness stated a 1-year lag on implementing these updates would allow for greater risk management which is becoming increasingly more important to producers and processors. NAJ’s post-hearing brief reiterated their support for Proposal 2, arguing record evidence shows protein and other solids levels in producer milk have progressively and significantly increased since FMMO reform in the late 1990s. NAJ stated the trend of higher solids components in skim milk was expected to continue due to economic signals to producers from component values and improved production techniques. NAJ argued amendments of standard skim milk composition factors is necessary to help avoid periods of price inversions, depooling, undervaluing Class I milk, milk supply inefficiency, and disincentives to supply milk for Class I use. NAJ stated a change to the skim milk component levels should be announced at least 11 months in advance of implementation due to risk management practices used by producers and processors. NAJ argued annual updates better serve risk management practices because it would lead to smaller incremental changes and less adverse impact on risk management contracts with more than 12-months open interest at the time component changes are announced. A witness representing Edge Dairy Farmer Cooperative (Edge), a Wisconsin-based dairy milk test verification cooperative, testified in support of Proposals 1 and 2. The witness recommended increasing the implementation lag to 15.5 months to support longer contract hedging. The witness was of the opinion the standard butterfat test also should be updated VerDate Sep<11>2014 19:40 Jul 12, 2024 Jkt 262001 from 3.5 percent to 4.06 percent, the 2022 average butterfat for all markets combined as published by the USDA’s AMS. According to the witness, this would more accurately reflect current butterfat levels and better align the butterfat to protein ratio used in the formula, ensuring more effective risk management tools, as farmers’ ability to manage their gross pay price risk would improve. Edge, in their post-hearing brief, reiterated hearing testimony that failure to adjust the butterfat level when updating skim component levels would cause disorderly milk marketing, as it undermines effective risk-management tools for dairy farmers. Edge argued that without the corresponding change, producers hedging milk revenue using risk management products based on Class III milk or Class IV milk prices, will tend to be under protected against the decline in butterfat prices. Edge added that changing the butterfat level would not affect handler obligations to the producer settlement fund, PPDs, or uniform producer prices. A witness representing the International Dairy Foods Association (IDFA) testified in opposition to Proposals 1 and 2, stating that updating the component standards would increase the Class I skim price by $0.60 per cwt, a value that cannot be recovered in the marketplace. IDFA is a trade organization representing dairy manufacturers of milk, cheese, ice cream, yogurt, cultured products, and dairy ingredients. The IDFA witness testified consumers choose finished Class I products based on desired fat level, freshness, and price, not higher nonfat solids levels. The witness estimated that updating component levels in the formulas would result in manufacturing handlers in butterfat/ skim FMMOs paying an additional $0.40 to $0.80 per cwt, even though the component levels of milk delivered to those plants was less than those proposed. The witness cited National Dairy Herd Information Association (DHI) data showing 2020 to 2022 average skim protein levels in butterfat/ skim FMMOs below the levels contained in Proposals 1 and 2. The witness attributed the lower observed component levels to the fact that producer payments in these orders are made on the basis of the fat and skim content of their milk, leaving no financial incentive to produce higher component milk. A witness from Saputo Cheese USA (Saputo), appearing on behalf of IDFA, also testified in opposition of Proposals 1 and 2. Saputo is a dairy processor and manufacturer operating 29 plants PO 00000 Frm 00006 Fmt 4701 Sfmt 4702 throughout the U.S. The witness said Saputo operates three plants located in the skim/fat orders, and in 2022 the average NFS level of milk received at those plants was 9.1070 percent, which is less than what is proposed in Proposals 1 and 2. The witness explained Saputo purchases skim solids to add to its skim milk in order to ensure the Class II products it manufactures contain the skim solids necessary to meet standard of identity requirements for those products. Updating the component levels in the formula would only result in Saputo paying for skim solids not received, but it would not lower the amount of skim solids Saputo must purchase, explained the witness. A post-hearing brief submitted by IDFA reiterated its opposition to Proposals 1 and 2, arguing that increased component levels have no financial benefit or economic value to Class I handlers who would be the primary entities impacted by adoption of these proposals. IDFA stated the current FMMO system of pricing Class I milk on a skim/fat basis versus Classes II, III, and IV milk on a component basis does not create disorderly marketing. The Milk Innovation Group (MIG) is a group of fluid milk processors and producers that market value added dairy based products. MIG’s members include Anderson Erickson Dairy (AE), Aurora Organic Dairy (Aurora), Crystal Creamery, Danone North America (Danone), fairlife, HP Hood LLC (HP Hood), Organic Valley/CROPP Cooperative (Organic Valley), Shamrock Foods Company (Shamrock), Shehadey Family Foods LLC (Shehadey), and Turner Dairy Farms (Turner Dairy). Crystal Creamery is a California fluid milk processor producing Class I, II, and IV conventional and organic milk products. Danone is a food and beverage company operating seven plants in the U.S. Fairlife is a fluid milk processor of ultra-filtered lactose free milk, and other high protein products. Organic Valley is a dairy farmer-owned organic cooperative producing more than 30 percent of the organic milk sold in the U.S. Seven witnesses representing MIG, including witnesses from HP Hood, Shehadey, Saputo, Shamrock, AE, Turner Dairy, and Aurora, testified in opposition to Proposals 1 and 2. HP Hood is a fluid milk processor operating five ESL plants and four hightemperature, short-time (HTST) plants in the Northeast and California. Shehadey operates four manufacturing plants in California, Nevada, and Oregon, producing Class I and Class II products. Shamrock is a fluid milk E:\FR\FM\15JYP3.SGM 15JYP3 ddrumheller on DSK120RN23PROD with PROPOSALS3 Federal Register / Vol. 89, No. 135 / Monday, July 15, 2024 / Proposed Rules processor of HTST and ESL products with processing facilities in Arizona and Virginia, and a 20,000-head dairy farm located in Arizona. AE is an Iowa fluid milk processor producing both Class I and II products. Aurora is a vertically integrated organic milk supplier with four organic dairy farms located in Colorado and Texas. Turner Dairy is a small fluid milk processor with full or partial ownership of two fluid milk plants, as well as a standalone Class II plant, all located in western Pennsylvania. Six witnesses testified their plants regularly receive milk with components below the proposed levels. One witness offered that component levels received ranged from 3.09 to 3.63 percent protein, 5.83 to 6.10 percent other solids, and 8.92 to 9.65 percent NFS. MIG members testified that increasing the component levels in the formulas would increase their raw milk costs, requiring them to pay for milk components not received. One witness stated that adoption of Proposals 1 and 2 would increase costs between $0.60 and $0.75 per cwt. All MIG witnesses claimed that fluid milk processors, even if they did receive higher component milk, are unable to convert those higher components into additional market revenue as Class I products are sold on a volume, not component basis. Another MIG witness testified on a survey conducted of MIG members plus two additional large grocery retailers who own their own fluid milk processing plants. According to the witness, using component data from 32 out of the 36 plants surveyed, these plants frequently received milk with components below the proposed levels. As data was confidential, no specific data was provided. The witness also noted the data showed component levels changed due to seasonality and geographics, demonstrating inconsistent levels received by plants. The witness testified the adoption of Proposals 1 or 2 would raise Class I prices and make it more challenging for these plants to recover costs. Should USDA decide to change the standard component levels in the pricing formulas, the witness testified component minimums should be used instead of averages because FMMOs are meant to provide minimum prices. A post-hearing brief filed on behalf of MIG argued it would be disorderly for Class I fluid milk processors, the only mandatory participant of FMMOs, to be forced to pay for component levels regardless of what is actually received. MIG opined consumers do not value additional skim component levels in fluid milk products, therefore Class I VerDate Sep<11>2014 19:40 Jul 12, 2024 Jkt 262001 processors are unable to recoup additional revenue out of the market. MIG was of the opinion no record evidence was provided at the hearing that the current skim component formula factors are causing disorderly marketing and added that although they oppose Proposals 1 and 2, if any part of these proposals are adopted there should be a 12-month implementation delay. A witness representing the CME Group (CME) testified to explain various dairy risk management tools offered through the exchange, including futures and options contracts. The witness explained the CME is a derivatives marketplace offering a range of futures exchanges to meet private risk management needs. The witness explained a futures contract is a legally binding agreement to buy or sell a standardized asset on a specific date or during a specific month. An option on a futures contract is the right, but not the obligation, to buy or sell the underlying futures contract at a predetermined price on or before a given date in the future. The witness stated 97.43 percent of contracts in the futures and options market are for 12month periods, and in a previous change to futures contracts there was an 18-month lag on implementation to be beyond open interest. The witness testified that Dairy Revenue Protection (DRP) is one of many programs that rely on CME markets and advocated USDA to consider futures and options markets when establishing implementation plans. In its post-hearing brief, CME reiterated its neutrality on all proposals under consideration. They stated any change modifying the current Class III and Class IV formulas would be considered a material change affecting current contracts. CME stressed the importance of sufficient and transparent notice of any changes. A post-hearing brief was submitted on behalf of Select Milk Producers (Select), a dairy-farmer owned cooperative which owns and operates eight processing plants in Texas, New Mexico, and Michigan, manufacturing ESL fluid milk products and a variety of cheese, butter, and NFDM products. Select offered support for Proposal 1 and took exception to the assertion there is no value in higher protein levels in Class I products, as it is belied by the success of specialty fluid milk products such as fairlife, and the higher milk solids required for California fluid milk. Although Select supported adoption of Proposal 1, they do not support a delay in implementation, nor the annual update as contained in Proposal 2. PO 00000 Frm 00007 Fmt 4701 Sfmt 4702 57585 Lamers Dairy Inc. (Lamers), a Wisconsin based HTST fluid milk processor, submitted a post-hearing brief in opposition to Proposals 1 and 2. Lamers stated component levels can vary both regionally and from farm to farm. Lamers opined that USDA is statutorily required to conduct a study of component levels before any change could be made and argued adoption of Proposals 1 and 2 should not be considered. New Dairy OPCO LLC (New Dairy), a fluid milk processor operating four fully regulated distributing plants (three of which are located in the southeastern U.S.), submitted a post-hearing brief in opposition to Proposals 1 and 2. New Dairy offered support for arguments made by IDFA and MIG that fluid milk processors would be unable to recoup the additional cost of components should Proposals 1 or 2 be adopted. They purport that charging fluid milk processors for components not actually received would be disorderly. New Dairy said raising component levels in the formulas would harm its southeastern plants as they pay on a skim/fat basis which provides no incentive to producer to increase components to match the national average. In its post-hearing brief, NMPF opposed the annual updating feature contained in Proposal 2. NMPF stated that by limiting changes to the standard component levels to a periodic basis and relying on 3-year weighted average, Proposal 1 is more likely to produce accurate component values and avoid disruption from more frequent changes. Surveyed Commodity Products This rulemaking proceeding considers four proposals, and a modified proposal submitted during the hearing, that would add or remove a variety of products in the DPMRP survey, which are then reported in the National Dairy Product Sales Report (NDPSR) and used to establish FMMO classified prices. The proposals are as follows: Proposal 3, submitted by NMPF, seeks to eliminate the Cheddar cheese barrel price from the cheese price formula. Proposal 4, submitted by AFBF, seeks to add Cheddar cheese 640-pound block price series to the cheese price formula. Proposal 5, submitted by AFBF, seeks to add unsalted butter to the butterfat and cheese price formulas. Proposal 6, submitted by the California Dairy Campaign (CDC), seeks to add a price series for mozzarella to the cheese price formula. Edge offered a proposal modification during the hearing to adopt different weighting methodology which would E:\FR\FM\15JYP3.SGM 15JYP3 ddrumheller on DSK120RN23PROD with PROPOSALS3 57586 Federal Register / Vol. 89, No. 135 / Monday, July 15, 2024 / Proposed Rules reweigh 40-pound blocks and 500pound barrels in the DPMRP survey by all U.S. cheddar block and barrel production volumes. NMPF witnesses from Foremost Farms USA (Foremost), Ellsworth Cooperative Creamery (Ellsworth), Land O’Lakes (LOL), and DFA testified in support of Proposal 3. Foremost is a cooperative with 850 members located in Wisconsin, Michigan, Iowa, Minnesota, Indiana, Ohio, and Illinois, and operating eight manufacturing plants producing cheese and butter. Ellsworth is a Wisconsin-based cheese manufacturer producing a significant volume of barrel cheese and a variety of specialized cheeses and cheese curds from 250 dairy-farmer members. LOL is a dairy farmer-owned cooperative with more than 1,000 dairy farmer members, primarily producing butter and cheese. The witnesses explained the current cheese price formula includes both block and barrel cheese in the computation. They asserted the cheese price formula provides for orderly marketing if the difference, known as the ‘‘spread,’’ in the respective market prices of blocks and barrels remains close to the assumed $0.03 per pound cost difference, which occurred from 2000 to 2016. However, since 2017 the spread between the block and barrel prices has been volatile. One witness stated the weighted average spread published in the weekly NDPSR during January 2017 through July 2023 was $0.120 per pound, with a much wider and more volatile range per pound. The LOL witness opined that the DPMRP survey could continue to include and publish prices of 500-pound barrel cheese without necessitating its inclusion in the Class III protein price calculation. An NMPF witness testified the CME block cheddar price is used as a pricing index for most cheese produced in the U.S., including cheddar, 40-pound block, 640-pound block, mozzarella, other American-type cheese, and other cheese including cream cheese, and Hispanic cheese. They estimated 90 percent of natural cheese produced in the U.S. is sold using the CME 40-pound block cheddar price as a pricing index. The witness estimated the CME barrel cheese price is used to price only about 9 percent of total domestically produced natural cheeses, including barrels themselves. They said DPMRP survey volumes of barrel cheese between 2013 and 2022 ranged from 44 to 52 percent, resulting in an overrepresentation of 500-pound barrels compared to the actual volume of cheese that is priced off of barrels. The witness testified that since 2017, the significantly wider and VerDate Sep<11>2014 19:40 Jul 12, 2024 Jkt 262001 increasingly volatile block-barrel spread has caused instability in the cheese market. Consequently, the witness said, dairy farmer revenue has been reduced as the over representation of 500-pound barrels lowered the Class III price. The Foremost witness estimated the undervaluation represented $2 billion since 2017, opining the value would have been greater if not for the large volume of Class III milk not pooled in 2020 and 2021. The NMPF witness testified eliminating 500-pound barrel prices from the Class III price would create more orderly marketing in FMMOs by reducing the financial uncertainty for dairy producers and manufacturers and ensuring the cheese price in the protein component formula represents the single commodity cheddar cheese product. The witness described how barrel cheese manufacturers are harmed when they must account to the pool at an FMMO cheese price higher than the revenue generated from barrel cheese product. The witness said eliminating the 500-pound barrels would have increased the Class III price by $0.41 per cwt, using average product prices for 2017 to 2022. An NMPF witness testified that removing 500-pound barrels had been addressed in prior rulemakings, but denied by USDA in the rulemaking. However, current market conditions have significantly changed, necessitating a re-evaluation. The witness attributed the increased volatility in the block-barrel price spread since 2017 to a variety of factors, including increased 500-pound barrel production capacity that may be due to increasing values of its white whey byproduct. NMPF witnesses testified eliminating 500-pound barrel cheese from the protein component price (PCP) formula would still provide adequate volume of cheddar cheese for price discovery purposes as 40-pound block cheese surveyed represents approximately 16 percent of total U.S. natural cheddar cheese production. The witness also said this methodology change would bring the cheese price into conformity with the price for butter, NFDM, and dry whey, which utilize only one surveyed product for price discovery purposes. The witness testifying on behalf of Ellsworth stated 40-pound blocks and 500-pound barrels are not interchangeable products. The witness said while 40-pound block cheddar has many markets and uses, 500-pound barrel cheddar is used for processed cheese, a market driven by few processors and purchasers. As a result, PO 00000 Frm 00008 Fmt 4701 Sfmt 4702 the witness said, surveying barrel cheese prices skews the FMMO cheese price towards a smaller market which is not representative of the rest of the cheese market. The witness estimated the volatility in the block-barrel spread since 2017 cost Ellsworth producers $0.84 per cwt. The witness said barrel cheese manufacturers would adjust to the elimination of barrel prices from the survey and eventually transition to prices based on the 40-pound block cheese price. Witnesses representing IDFA, Leprino Foods Company (Leprino), and Associated Milk Producers, Inc. (AMPI) testified in opposition to Proposal 3. Leprino operates nine plants in the U.S., manufacturing mozzarella cheese, whey products, and NFDM. AMPI owns and operates eight manufacturing plants processing cheese, butter and powdered dairy products from member farms in Wisconsin, Minnesota, Iowa, Nebraska, South Dakota, and North Dakota. The witnesses said sales of both block and barrel cheddar cheese are robust and each play a significant role in setting the market value of cheddar cheese. They argued eliminating 500pound barrels would reduce by more than half the cheese market price contained in the survey and would result in a distorted picture of the total commodity cheddar market. The witness said opposition to removing barrels was not related to the presumed effect on the Class III price as the NDPSR weighted average cheese price (reflecting block and barrel cheese) was higher than the 40-pound block price in 9 of 14 years from 2009 to 2022. One witness opined additional cheddar block plant capacity is coming on-line in the next couple of years, increasing 40-pound block volumes, and would reduce the block-barrel spread to historical levels under normal supplydemand behavior. The IDFA witness speculated cheddar barrel manufacturers may opt not to pool milk if the barrel price is no longer surveyed because they would be unable to garner sufficient market revenue in order to account to the pool and the Class III price. Two Leprino witnesses testified eliminating 500-pound barrels from the Class III price formula removes the product most closely reflecting the supply and demand balance. They were of the opinion that removing 500-pound barrels would both shrink the survey volume and likely result in greater production of cheddar blocks as a way to clear the market. The witnesses testified this would add volatility to the block market, cause unnecessary stress to the U.S. marketplace, and make U.S. E:\FR\FM\15JYP3.SGM 15JYP3 ddrumheller on DSK120RN23PROD with PROPOSALS3 Federal Register / Vol. 89, No. 135 / Monday, July 15, 2024 / Proposed Rules cheese a less attractive option for global buyers. The Leprino witnesses said dropping 500-pound barrels from the survey would create a presumption within the Class III formula that all cheese, including barrels, would then be priced off blocks. The witnesses asserted barrels and blocks have different supply and demand functions, and eliminating barrels from the Class III formulas would force barrels to be priced off blocks, adding dysfunction to the barrel market. The witnesses were of the opinion barrels are the market-clearing cheese, and instead 40-pound blocks should be eliminated from the price formula to be more consistent with the minimum pricing provisions. In its post-hearing brief, NMPF reiterated testimony regarding price differences between 40-pound blocks and 500-pound barrels becoming more volatile since 2017. Historically, NMPF wrote, using both block and barrel prices in the Class III pricing formula increased the volume of cheddar cheese reported in the NDPSR. However, the increased price spread has caused instability in the cheese market and reduced revenue for dairy farmers as the barrel price is a disproportionately large share when compared to its volume in the cheese market. NMPF estimated 90 percent of the natural cheese produced in the U.S. is priced using the CME 40pound block price, while the remaining is priced off of the CME barrel cheese price. As a result, NMPF wrote, the Class III milk price has been undervalued and lowered producer revenue. Leprino submitted a post-hearing brief reiterating the important balancing function barrels provide and opined removing them would push 40-pound blocks into the balancing role and would increase price volatility for cheddar blocks. Select submitted a post-hearing brief in support of Proposal 3, arguing 500pound barrels no longer represent the commodity cheddar market and 40pound blocks are an appropriate commodity to establish the protein price. According to Select’s brief, current formulas dramatically over weights the price of barrels relative to the markets actual use barrels and the cheese priced off of them. The AFBF submitted a post-hearing brief in support of Proposal 3 reiterating hearing testimony that barrels represent roughly 50 percent of the NDPSR volume but is used to set prices for only 10 percent of the cheese in the U.S. market. The AFBF stressed use of barrels in the cheddar cheese price formula creates a price not VerDate Sep<11>2014 19:40 Jul 12, 2024 Jkt 262001 representative of the value of 90 percent of cheddar cheese produced. IDFA, in their post-hearing brief, opposed Proposal 3 as they argued its adoption would make 500-pound barrel production uneconomical, resulting in barrel makers going out of business or switching to block production which would destabilize the block market. IDFA wrote that 40-pound blocks and 500-pound barrels serve materially different functions in the market and the failure to include both in the survey would distort the commodity cheddar cheese market. NAJ submitted a post-hearing brief in opposition to Proposal 3. NAJ cited hearing evidence showing the market price of block and barrel cheese has diverged significantly since 2017, with barrel cheese priced about $0.11 per pound less than block cheese from 2017–2022. NAJ stated blocks and barrels have different uses, different buyer markets, and limited substitutability. With an expected increase in block production in the coming years, NAJ wrote, there may be many months in which barrels are more per pound and should remain part of the cheese price formula. A witness representing the AFBF testified in support of adding 640-pound cheddar blocks to the Class III formula, as contained in Proposal 4. The witness said adding 640-pound blocks would expand the volume of cheese surveyed and better reflect U.S. block and barrel production volumes. The witness was of the opinion there has been a pronounced production shift from 40pound blocks to 640-pound blocks and adding 640-pound blocks would provide more survey volume to avoid future rulemaking to address the dwindling 40-pound block survey volume. The witness testified that 40pound and 640-pound blocks are largely interchangeable in price, use, and storage, and therefore it is appropriate those prices be reflected in the Class III price. A witness representing IDFA testified in opposition to Proposal 4. The witness said the DPMRP cheese survey encompassed more than 1.34 billion pounds of sales in 2022, divided almost evenly between 40-pound blocks and 500-pound barrels. The witness testified the data set is sufficient to determine prices in the market and, since 640pound blocks typically trade off the 40pound block price, its addition would provide little additional price discovery information. The witness opined that only a small percentage of the 640pound block market would meet survey specifications because of the nature of PO 00000 Frm 00009 Fmt 4701 Sfmt 4702 57587 how the product is manufactured and sold. The two Leprino witnesses argued it would be inappropriate to add 640pound blocks as the market is largely make-to-order and the lack of equipment to handle 640-pound blocks limits sales to a narrow group of buyers. The witnesses noted the 640-pound block market is balanced through the cutting down of 640-pound blocks into 40-pound blocks, so the 40-pound block cheddar market is already reflected in its pricing. A witness representing Glanbia PLC (Glanbia), testified in opposition to Proposal 4. Glanbia owns four dairy plants in Idaho and partially owns two joint venture plants in New Mexico and Michigan, processing 34 million pounds of milk daily into barrel cheese, block cheese, whey protein concentrates, proprietary protein blends, and lactose. The witness testified Glanbia plants manufacture 40-pound and 640-poundblocks, both priced off the CME 40pound block price and opined that adding 640-pound blocks would not add new information to the survey. A witness representing the Wisconsin Cheese Makers Association (WCMA), whose 81 members include cheese manufacturers making 40-pound blocks, 640-pound blocks, and 500-pound barrels, testified in opposition to Proposal 4. The witness testified the industry uses the 40-pound block price to price 640-pound blocks, and since 40pounds blocks are already used in the protein formula, adding 640-pound blocks would add no new price information. A DFA witness representing NMPF, testifying in opposition to Proposal 4, said the 40-pound block volume provides an adequate dataset and the sole inclusion of 40-pound blocks is sufficient for cheese price discovery, making adoption of Proposal 4 unnecessary. The witness stated the daily CME cash block cheese market is widely recognized by market participants as heavily influencing the price of cheese. The witness concluded that because annual CME block cheese traded volumes are not as large as NDPSR block survey volumes, the volume of 40-pound blocks reported in the NDPSR is more than adequate to determine the FMMO cheese price. The witness testified that incorporating 640pound blocks into the NDPSR data set could promote the same disorderly market conditions currently observed with the inclusion of 500-pound barrels. The AFBF reiterated their support of Proposal 4 in their post-hearing brief. The AFBF indicated 640-pound blocks are priced identically, or nearly E:\FR\FM\15JYP3.SGM 15JYP3 ddrumheller on DSK120RN23PROD with PROPOSALS3 57588 Federal Register / Vol. 89, No. 135 / Monday, July 15, 2024 / Proposed Rules identically, to 40-pound blocks, and are a standardized commodity cheddar cheese product. Including the 640pound blocks in the NDPSR survey, they argued, would help make the survey more robust. Select, in their post-hearing brief, expressed support for Proposal 4 agreeing with proponents that its inclusion would increase DPMRP survey volume. Select mentioned that with new cheese processing capacity starting in upcoming years in Minnesota, New Mexico, Michigan, and Texas, 640-pound blocks would become a larger proportion of the commodity cheddar market and it would be prudent to incorporate their prices and volume in the survey. IDFA reiterated opposition to Proposal 4 in its post-hearing brief. IDFA highlighted evidence describing how 640-pound blocks are typically made to customer order as there is only a small number of cheese buyers who are able to purchase and process them. Since manufacturers of 640-pound blocks often balance the 640-pound block market by cutting them down to 40-pound blocks, IDFA said no new price information would be gained from including 640-pound blocks in the survey. WCMA also expressed opposition to Proposal 4 in their post-hearing brief and wrote that because 640-pound blocks do not have a unique price discovery mechanism, they would add no new price information to the formulas. A witness representing the AFBF testified in support of Proposal 5, seeking to add unsalted butter to the DPMRP butter survey. The witness said because of the growing volume of unsalted butter production and use in the U.S., the DPMRP salted-only butter price collection increasingly underrepresents the value of U.S. butter. According to the witness, the amount of butter captured by the NDPSR as a percentage of total butter production has been declining, from 16 percent in 1999 to 9.4 percent in 2022. The witness expected this trend to continue without the addition of unsalted butter. Citing USDA voluntarily graded salted and unsalted butter volumes, the AFBF witness said one reason for declining butter survey volumes is the increase in U.S. unsalted butter production. The AFBF witness testified the exclusion of unsalted butter is unnecessarily restrictive for the purposes of the DPMRP survey. The witness cited U.S. butter export data showing 2,000 metric tons exported in 2000, to over 65,000 metric tons in 2022, estimating almost all the exports VerDate Sep<11>2014 19:40 Jul 12, 2024 Jkt 262001 were unsalted. The witness said incorporating unsalted butter prices into the FMMO butterfat formula would make the survey more representative of the evolving butter market, allow for better market transparency, and provide for more orderly marketing of butter and milk. The witness claimed salted and unsalted butter are production substitutes, as the same production line can be used for both without substantial interruption. The witness clarified Proposal 5 is not intended to change the current 80 percent butterfat reporting standard for butter, and therefore exported unsalted butter at 82 percent butterfat would continue to be excluded. A witness representing CDC expressed support for Proposal 5, without additional testimony. The CDC represents dairy farmers throughout California and is a state chapter of the National Farmers Union. A witness representing IDFA testified in opposition to Proposal 5. The witness testified there is no uniform specification for unsalted butter, so it is impossible to derive a uniform price for purposes of an FMMO pricing formula. The witness explained unsalted butter does not store as well compared to salted butter, rendering unsalted butter less capable of providing useful uniform price information. The witness also testified unsalted butter tends to be priced off the CME Grade AA salted butter price, and therefore does not bring any new pricing information. As substantial quantities of unsalted butter are exported through premium-assisted sales, which would not be included in the DPMRP survey, emphasizing unsalted butter should not be relied on for determining the market price of butter. Moreover, the witness considered the current volume of salted butter reported in the DPMRP to be a robust quantity of butter sales. A witness representing the Dairy Institute of California (DIC) testified in opposition to Proposal 5. The DIC is a trade association, representing fluid milk and dairy product processing plants in California. The witness asserted most unsalted butter is 82 percent butterfat and exported and should be considered substantively different from domestically consumed butter which contains 80 percent butterfat. The witness referenced a lack of clarity on how subsidies on exported butter would be handled in the product price reporting as another reason for their opposition. A California Dairies, Inc. (CDI) witness, representing NMPF, testified in opposition to Proposal 5. CDI is a California dairy farmer-owned PO 00000 Frm 00010 Fmt 4701 Sfmt 4702 cooperative with 258 members producing and marketing 41 percent of California’s total milk production and operating six butter and milk powder manufacturing facilities in the state. The witness disagreed with the assertion that salted butter at 80 percent butterfat no longer represents an adequate survey volume. The witness testified CDI manufactures both types of butter, and unlike salted butter, unsalted butter is manufactured exclusively for customer order. The witness argued sales of the two types of butter are not interchangeable. The witness stressed the addition of salt allows salted butter to be stored for long periods, making it a market clearing product, whereas the nature of unsalted butter requires it to be sold and consumed in a significantly shorter period of time. The witness was of the opinion introducing unsalted butter into the survey may result in volatility in the relationship between salted and unsalted butter similar to the current volatile relationship between 40-pound block and 500-pound cheddar barrels. The witness said it was preferable to have one product generate the singular commodity reference price for purposes of calculating the minimum FMMO prices. In post-hearing briefs, the AFBF offered additional support for Proposal 5, stating the growing volume of unsalted butter production and use in the U.S. markets results in a salted-only butter price collection in the NDPSR survey which increasingly underrepresents the value of U.S. butter. The AFBF argued the declining trend in butter survey volume as a percent of actual production would continue, as butter survey volume has fallen from 16 percent of total production in the 1999 to 9.4 percent in 2022. Select expressed opposition to Proposal 5 in its post-hearing brief. Select argued that despite the growth of unsalted butter products, it should not be included in the survey because it lacks a uniform specification, is typically produced for special orders, has no active commodity market, is often made with 82 percent butterfat versus 80 percent, and is viewed as a higher-value product. IDFA’s post-hearing brief reiterated their opposition to Proposal 5 stating the Grade AA salted butter survey volume is robust and the product is traded on the CME. IDFA wrote that a majority of unsalted butter is exported through government or private assisted sales, such as Dairy Export Incentive Program or Cooperatives Working Together, which would disqualify such sales from being reported. IDFA also stated unsalted butter does not store as E:\FR\FM\15JYP3.SGM 15JYP3 ddrumheller on DSK120RN23PROD with PROPOSALS3 Federal Register / Vol. 89, No. 135 / Monday, July 15, 2024 / Proposed Rules well as salted butter, making it more likely to be made to order to a particular buyer’s specifications. A witness representing the CDC testified in support of adding mozzarella prices to the FMMO cheese price, as contained in Proposal 6. The witness was of the opinion adding mozzarella would make the FMMO Class III price more reflective of all U.S. cheese production. The witness asserted that because the volume of mozzarella production significantly exceeds cheddar production it should be reflected in the FMMO cheese price to improve price transparency and increase dairy farmer revenue. The CDC witness also stated mozzarella production is the largest category of cheese produced today and deserves a standard specification determined by the volume of mozzarella produced today. The CDC witness proposed adding mozzarella to the FMMO protein price based on the Van Slyke cheese yield formula, a formula for predicting cheddar cheese yields from milk on the basis of its fat and casein content. The witness submitted numerous USDA Specifications of Mozzarella Cheese for the Department to consider when determining an acceptable moisture and fat content of mozzarella cheese to be surveyed. The specification detailed requirements for six variations of mozzarella types in four forms (loaf, sliced, shredded, or diced). The witness testified that 5 to 6-pound loaves of mozzarella would be representative of a wholesale commodity mozzarella product and reasonable for inclusion in the survey. A California dairy farmer testified in support of Proposal 6. The witness said including mozzarella in the survey would create a Class III price that more accurately reflects the value of the current cheese market. The witness attributed the ongoing decline in the number of California dairy farms to negative margins and price volatility and stressed the urgency in capturing the additional value of mozzarella. A Wisconsin dairy farmer also supported inclusion of mozzarella for similar reasons. A witness representing IDFA testified in opposition to Proposal 6. The witness described the difficulty in selecting appropriate mozzarella product specifications, yield assumptions, and manufacturing costs to include in the formulas whose factors currently reflect only cheddar production. The witness also testified the commercial mozzarella cheese market contains wide product variability, including varying fat and moisture parameters demanded by VerDate Sep<11>2014 19:40 Jul 12, 2024 Jkt 262001 mozzarella customers. The witness testified that unlike bulk cheddar products, mozzarella is not a marketclearing product, is often sold to meet the customer specifications, is not traded on the CME, and is not storable for extended periods. Witnesses from Leprino and Glanbia testified in opposition to Proposal 6, asserting the proposal lacked critical details making it difficult to interpret and evaluate. The witnesses explained the equipment, production, and yield difference between mozzarella and commodity cheddar. The witnesses said Proposal 6 does not define the type of mozzarella to be surveyed or how USDA should address the diversity of mozzarella cheese types and packages. The witnesses stated significant volumes of mozzarella are manufactured into value-added forms, whether as shred, string, or smaller retail or foodservice loaves by the primary manufacturer. The witnesses also noted most mozzarella is not market-clearing and is stored in refrigerated form with limited shelf life reducing its role as a market clearing product. The witnesses added that the volume of mozzarella production sold by the primary manufacturer in bulk format is comparatively small, in contrast to cheddar, in which most shredding, processing into consumer packaging, and conversion to other forms is performed by different companies rather than the original manufacturer. The witnesses opined cheddar remains the most appropriate Class III cheese product. Leprino reiterated their opposition to Proposal 6 in their post-hearing brief. Leprino argued mozzarella cheese is a grouping or collection of similar products with diverse specifications, and that the assumption mozzarella production volume represents a single defined bulk product is incorrect. Leprino further stated mozzarella has different manufacturing processes, costs, and product yields. Therefore, if mozzarella was added to the Class III pricing formula, the formula would become substantially more complicated with little incremental benefit. A Foremost witness, testifying on behalf of NMPF, testified in opposition to Proposal 6, urging USDA to only utilize one commodity price series to represent each of the four dairy prices: cheese, butter, NFDM, and dry whey, to ensure orderly marketing. The witness noted the many mozzarella composition types, and purported deriving a 40pound block cheddar equivalent price would be difficult. The witness added mozzarella manufacturing costs are different and no data exists to determine PO 00000 Frm 00011 Fmt 4701 Sfmt 4702 57589 how those costs should be reflected in the cheese make allowance. The witness said including mozzarella pricing into the protein price calculation would not enhance price discovery as mozzarella prices already move with the 40-pound cheddar market. Other NMPF witnesses testified to the appropriateness of limiting the cheese price to one survey product, cheddar. Witnesses representing the AFBF and WCMA opposed the inclusion of mozzarella due to the lack of standard format that could be surveyed. Select’s post-hearing brief opposed Proposal 6 because no workable framework for incorporating mozzarella into the price formula was provided on the record. IDFA’s post-hearing brief reiterated their opposition of Proposal 6 as mozzarella lacks uniformity in compositional specifications and yields and is not traded on the CME. IDFA wrote the U.S. Food and Drug Administration (FDA) Standards of Identity provide four different variants of mozzarella cheese, with a wide variety of fat and moisture levels. IDFA also stated that while proponents advocated use of the Van Slyke formula to determine yields, the record lacked evidence as to how the formula should be revised to incorporate mozzarella cheese. WCMA opposed Proposal 6 in their post-hearing brief. WCMA members argued that there is no FDA Standard of Identity for mozzarella and are concerned over the vast variety of forms and functionality of each mozzarella manufacturer. A witness testifying on behalf of the CME offered information regarding its dairy futures and options markets which utilize FMMO prices. The witness did not appear in support or in opposition to any proposal under consideration. The witness testified that the CME dairy product portfolio, which began in 1996, includes Class III and Class IV milk futures and options, cash-settled cheese, 40-pound block cheese, cash-settled butter, NFDM, and dry whey. The witness said the relationship between Class III and Class IV milk futures can serve as a mechanism to manage both input and output costs and provide the dairy trading community with an opportunity to provide liquidity to the market while managing risk. The witness testified any changes to FMMO formulas, or underlying DPMRP survey methodology could result in a material change to the valuation of the contracts. A post-hearing brief filed by CME reiterated its hearing testimony and stressed that the Department consider the impact to futures and options E:\FR\FM\15JYP3.SGM 15JYP3 57590 Federal Register / Vol. 89, No. 135 / Monday, July 15, 2024 / Proposed Rules markets when determining the implementation timeframe for any FMMO price formula changes. A witness representing Edge offered the modified proposal that would reweight 40-pound blocks and 500pound barrels by U.S. production volumes, not DPMRP survey volumes. The witness said this alternative weighting methodology would reduce the weight of barrel cheese as most cheddar cheese is manufactured into blocks. The witness explained that since a significant volume of block cheddar cheese does not qualify for inclusion in the NDPSR, barrels have a weight disproportionate to their true market share of the cheddar market. The witness was of the opinion the protein price should primarily reflect the block cheddar cheese market as it is estimated 70 to 75 percent of all cheddar cheese is produced into 40-pound or 640pound blocks. The Edge witness predicted that the block-barrel spread could invert in 2025 due to the growth of block cheese production. The witness expects cheese manufacturers who can make either blocks or barrels will react to profitable opportunities, thus reducing the spread between block and barrel prices by altering their production schedules. The witness argued that, given the anticipated trends over the next 3 to 5 years, it would be more prudent to reduce the weight of barrels today and revisit the topic of removing barrels in 5 years. Edge reiterated their support for the weighting methodology in its posthearing brief, as an alternative to eliminating barrel cheese or adding 640pound blocks to the survey. Edge explained that, in practice, the Department would survey all barrel cheese production volume on an annual basis, including forward contracted cheese volumes, to determine the percentage of barrel cheese produced in relation to the NASS total U.S. cheddar cheese production estimates. Edge proposed the percentage be rounded to the nearest 5 percent, and the inverse would be assumed to represent block production. This calculated weight would be announced by September 15 and be applicable for the following calendar year. Survey prices would then be weighted by these percentages to determine weighted average cheese prices. IDFA, in their post-hearing brief, opposed Edge’s modified proposal, arguing that it ignores market clearing, minimum pricing principles. IDFA opposed the idea of Class III prices being predominantly determined through a 40-pound block cheddar price. A post-hearing brief submitted by NMPF opposed Proposals 4, 5, 6, and Edge’s modified proposal on the grounds the proposals perpetuate the problem Proposal 3 seeks to fix, which is to have only one product surveyed to determine a wholesale commodity price. Class III and Class IV Formula Factors a. Make Allowances Proponents submitted three proposals to amend the make allowances in the Class III and IV formulas. Proposal 7, submitted by NMPF, seeks to update make allowances to the following: cheese, $0.2400; dry whey, $0.2300; NFDM, $0.2100; butter, $0.0210. WCMA and IDFA submitted Proposal 8 and identical Proposal 9, respectively, to update make allowances as described in the below table. The proposals contain a four-year implementation schedule with 50 percent of the increase implemented in year 1 and the remaining 50 percent implemented evenly across the remaining 3 years. IDFA/WCMA PROPOSED MAKE ALLOWANCES Product Year 1 ddrumheller on DSK120RN23PROD with PROPOSALS3 Cheese ............................................................................................................. Dry Whey ......................................................................................................... NFDM ............................................................................................................... Butter ............................................................................................................... A former University of Wisconsin economics professor testified regarding separate manufacturing cost surveys they conducted on behalf of USDA and IDFA in 2021 and 2023, respectively. Each survey collected data submitted voluntarily from plants producing commodity cheddar cheese, dry whey, butter, and NFDM. The witness previously conducted similar surveys used by the Department in determining make allowance levels. The witness did not testify in support or opposition to any manufacturing allowance proposals under consideration. The witness explained that only plants manufacturing commodity products meeting DPMRP product specifications were eligible to participate. As plant participation was voluntary, the sample of plants and respective volumes varied by product and between surveys, with increasing cost variation between plants over time. The witness noted more observed cost VerDate Sep<11>2014 19:40 Jul 12, 2024 Jkt 262001 $0.2422 0.2582 0.2198 0.2251 variation across plants can occur due to newer automation technology employed in some plants, varying utility costs over time, and economies of scale achieved by some plants who negotiate input costs. The witness explained that dairybased raw product costs, such as raw milk or purchased cream, are excluded, while costs of non-dairy ingredients needed to transform the raw milk into a manufactured product, such as salt and enzymes, are collected and included in the survey results. The witness said costs, such as labor and utility, through the product-packaging stage are incorporated, but postpackaging costs, such as long-term storage or distribution and sales costs, are not. The witness explained an economic depreciation factor, not consistent with taxable depreciation, is incorporated to cover consumed capital, and the asset’s return on investment is included to capture opportunity costs. PO 00000 Frm 00012 Fmt 4701 Sfmt 4702 Year 2 $0.2561 0.2778 0.2370 0.2428 Year 3 $0.2701 0.2976 0.2544 0.2607 Year 4 $0.2840 0.3172 0.2716 0.2785 The witness explained two different methodologies used for allocating costs in multi-product plants that could not be associated with a specific product (unallocated costs). The witness said the 2021 survey utilized a degree-oftransformation factor to allocate costs based on degree of transformation raw milk must undergo in order to be manufactured into the wholesale product. Transformation factors were assigned subjectively, based on knowledge of manufacturing processes. As a result, the witness said, unallocated costs were weighted towards heavily transformed products, such as NFDM, while products undergoing less transformation, for example, butter, were assigned a lower portion of the unallocated costs. Due to questions from the industry regarding this methodology, the witness said the 2023 survey reverted to allocating costs on a solids basis, a methodology more familiar to industry stakeholders. The E:\FR\FM\15JYP3.SGM 15JYP3 ddrumheller on DSK120RN23PROD with PROPOSALS3 Federal Register / Vol. 89, No. 135 / Monday, July 15, 2024 / Proposed Rules witness said the 2021 survey showed more variation of costs when compared to current make allowance levels, ranging from an 18 percent decrease in butter costs to a 75 percent increase in NFDM costs. The 2023 survey results revealed a more consistent cost change when compared to current FMMO levels, ranging from a 65 percent increase in NFDM costs to a 72 percent increase in butter costs. The witness attributed much of the survey result differences to the plant samples. For NFDM, the 2021 survey had 27 participating plants, whereas the 2023 survey had 15, with larger average volume per plant, according to the witness. For cheese, the 2023 survey included 18 cheddar cheese plants compared to 10 in the 2021 survey, and the witness elaborated that the cheese plants surveyed were much larger on average and represented a significant proportion of the NDPSR volume when compared to the 2021 survey. The witness testified the data on butter highlighted the importance of sample composition. Both surveys sampled a similar numbers of butter plants, 13 in 2023 and 12 in 2021, and represented roughly the same total volume. However, the witness stated the 2023 survey had more variation in production volumes whereas in the 2021 survey, butter plants were more similarly sized. Finally, the witness testified the dry whey surveys had similar numbers of participating plants, 9 in 2023 and 8 in 2021, but the surveyed volume in the 2023 survey was nearly 50 percent more than that contained in the 2021 survey. NMPF offered Proposal 7 as one option for amending FMMO make allowance levels. Eleven NMPF witnesses, representing the manufacturing interests of cooperatives, testified in support of Proposal 7. The witnesses testified the current FMMO make allowances do not resemble manufacturing costs currently experienced in their plants. The witnesses provided detailed testimony on the impact of inadequate make allowances, which consisted of similar themes. First, they were of the opinion inadequate make allowances cause the FMMOs to overvalue raw milk. Consequently, the witnesses said many cooperatives have reblended cooperative revenues to members as a way of recouping manufacturing costs not covered by current FMMO make allowances. Second, the witnesses said insufficient make allowances disincentivize plant investment, whether it be in current or potential new plants. VerDate Sep<11>2014 19:40 Jul 12, 2024 Jkt 262001 The NMPF witnesses testified the industry lacks consensus on reliable data to determine make allowances due to inconsistencies in cost allocation and reporting across operations. The witnesses were of the opinion the available manufacturing cost surveys are not comprehensive or reliable enough to justify large make allowance increases. The witnesses all stressed increasing make allowances to levels above actual costs could cause untenable financial harm to producers, putting many out of business and jeopardizing the milk supply. One NMPF witness described how an informal manufacturing cost survey of some NMPF members was used in the development of Proposal 7. A CDI witness testified regarding the impact insufficient make allowances have had on their member farms and six butter and milk powder manufacturing facilities. The CDI witness testified the NFDM and butter make allowances in Proposal 7 are transformations of the 2021 survey results, using the combined costs and yields of the two products. An LOL witness testified inadequate make allowances have led to disorderly market conditions, including lack of investment in manufacturing plants to process and balance milk supplies and inequitable producer pay prices between producers of different cooperatives and between cooperative and nonmember producers. An Agri-Mark witness said current make allowances overvalue producer milk and make it difficult for cooperatives with manufacturing facilities to remain profitable and pay the FMMO blend price. Consequently, the witness said, cooperatives must reblend proceeds in order to recoup manufacturing costs, resulting in producer pay prices often less than FMMO blend prices. Agri-Mark is a dairy farmer-owned cooperative located in the Northeastern U.S. with over 550 members, 3 cheese manufacturing plants and 1 butter-powder plant in the region. A Foremost witness attributed higher operating costs seen in their plants to inflation since 2008, adding that in the last 2 years, they have experienced particularly acute price increases in all categories. A witness representing FarmFirst Dairy Cooperative (FarmFirst), a cooperative operating in the Upper Midwest with 2,600 dairy farmer members, testified negotiated over-order premiums have diminished by 24 percent since 2020 due to their processor’s compressed margins, partly a result of inadequate make allowance levels. In addition to reducing premiums, the FarmFirst witness attested the current make allowances PO 00000 Frm 00013 Fmt 4701 Sfmt 4702 57591 overvalue producer milk and have contributed to an oversupply of milk in the Upper Midwest, resulting in milk dumping, negative PPDs, depooling, and milk selling at below Class III prices. A Northwest Dairy Association (NDA) witness testified in support of Proposal 7. NDA is a dairy farmer-owned cooperative located in the Pacific Northwest with approximately 295 members, whose subsidiary (Darigold) operates 5 fluid milk bottling plants and 7 manufacturing plants making butter, cheese, dry whey, and dry milk products. The witness testified Darigold’s manufacturing costs increased 80 percent between 2008 and 2022. The witness said inadequate or delayed investment in manufacturing plant capacity increases transportation costs, which are borne by producers, since milk must be shipped farther distances to find an available manufacturing market. A witness representing Maryland and Virginia Milk Producers Cooperative, Inc. (MDVA), a dairy farmer-owned cooperative located in the Mid-Atlantic that operates three pool distributing plants and two pool supply plants manufacturing bulk butter and NFDM, testified costs had increased compared to 2008 levels, with NFDM conversion costs increasing 64 percent over the period. According to the MDVA witness, Proposal 7 would reduce, but not eliminate, the manufacturing losses incurred in balancing their milk supply. A witness representing Lone Star Milk Producers (Lone Star), a dairy-farmer owned cooperative marketing milk on the Appalachian, Southeast, Central, and Southwest FMMOs, testified that manufacturing costs at their butter and NFDM plant have risen since commencing operation in 2017. A witness representing Ellsworth testified to the increasing costs of production at their cheese and dry whey operation. Lastly, a DFA witness testified in support of Proposal 7 and provided dairy farm cost of production data, arguing this data should be considered when determining make allowances. A dairy economist from the University of Missouri, appearing on behalf of NMPF, testified on the estimated economic impact of Proposal 7. Using an econometric model, the witness estimated the proposed make allowances would lead to a $0.30 decline in the All-Milk Price and a 200million-pound milk production decline in the first year of implementation, with a further milk production decline of 400 million pounds in the second year. In the long run, the witness forecasted the decline in the All-Milk Price would E:\FR\FM\15JYP3.SGM 15JYP3 ddrumheller on DSK120RN23PROD with PROPOSALS3 57592 Federal Register / Vol. 89, No. 135 / Monday, July 15, 2024 / Proposed Rules moderate to $0.04 as markets adjusted to lowered milk production. A dairy farm accountant, testifying on behalf of NMPF, presented various statistics related to their dairy farmer clientele. The witness testified average total income from their clients’ operations was $5.50 per cwt in 2022, with a break-even milk price of $19.78 per cwt. The witness said the average net income from 2006 to 2023 was $1.23 per cwt, on an average milk production of 995,115 cwt, yielding an average net income of approximately $1.2 million. The witness later stated that a 3,300milking cow herd would require an investment of approximately $40 million. An economist from Cornell University, testifying on behalf of NMPF, testified on the topics of dairy farm profitability, cost of production measures, and farm data from the Cornell Dairy Farm Business Summary, Michigan State University, and the University of Wisconsin. The witness warned that setting make allowances ‘‘too high’’ would lead to unwarranted investments in processing facilities while setting make allowances ‘‘too low’’ would lead to insufficient plant investments and cooperative deductions on member milk checks. Numerous dairy farmers testified in support of Proposal 7, recognizing the need for increased make allowances despite what they acknowledge would be a decrease in FMMO producer prices. These witnesses testified to recent decreased farm margins due to a declining All-Milk Price, falling net pay prices, higher feed costs, and increased production costs, leading to near negative operating incomes. The witnesses said that while make allowance increases would hasten this trend, Proposal 7 accounts for these factors, balancing producer and processor needs. Multiple witnesses expressed doubt in the available manufacturing cost survey data due to its voluntary and unaudited nature, as well as observations of cheese manufacturing profitability and continued investment. Dairy farmer witnesses testified that inadequate make allowances have disadvantaged dairy farmer-members of cooperatives who own manufacturing plants compared to dairy farmermembers of cooperatives who own no plants. Several dairy farmer witnesses said that the prevalence of market adjustment deductions from their member milk check signifies negative returns on the cooperatives manufacturing assets due to inadequate make allowances. Another dairy farmer testified processing costs for Agri- VerDate Sep<11>2014 19:40 Jul 12, 2024 Jkt 262001 Mark’s four manufacturing plants producing cheese, butter, NFDM, and whey have increased by an average of 20 percent since 2008, and insufficient make allowances have resulted in deductions to member milk checks to cover processing costs. According to the Agri-Mark witness, this has led to disorderly market conditions, which impair plant investment and disadvantage cooperative members. A CDI dairy farmer witness testified to the financial difficulties of operating CDI’s balancing plants given current make allowance levels. A witness representing the Milk Producers Council (MPC), an organization representing California dairy farms, testified Proposal 7’s proposed make allowances balance producer and processor needs. The witness said the cost survey information entered into evidence is of limited value due to its voluntary, unaudited nature and the lack of transparency in cost allocation for multi-product plants. The witness argued differences between the All-Milk Price and the Mailbox Price indicates a need for increased make allowances and a guideline to the resulting impact on producer pay prices, currently estimated at $0.75 per cwt. In its post-hearing brief, NMPF reiterated its arguments for adopting the make allowance levels contained in Proposal 7, writing it is the only option accounting for an increased cost in manufacturing while protecting producer pay prices. NMPF stated there has never been a make allowance adjustment greater than $0.35 per cwt, and the changes contained in Proposal 7 would decrease farmer milk prices by approximately $0.50 per cwt. NMPF presented in its brief the aggregated costs cooperatives with manufacturing capacity shared on the record, to emphasize the increases across cost categories since make allowances were last updated. While the need to update make allowances to reflect higher costs is necessary, NMPF stated the data on the record is not sufficiently comprehensive, verifiable, or unambiguous to determine make allowances above those offered in Proposal 7. In its post-hearing brief, Agri-Mark reiterated support for Proposal 7 as the most balanced approach to updating make allowances, despite acknowledging the proposed levels are not sufficient to cover all manufacturing costs. Opponents to Proposal 7, primarily representatives for IDFA or WCMA, echoed similar concerns from cooperative manufacturers regarding inadequate make allowances, claiming the inability to recover manufacturing PO 00000 Frm 00014 Fmt 4701 Sfmt 4702 costs on wholesale commodity products has led to a lack of investment in manufacturing capacity. These witnesses testified on the importance of make allowances fully covering manufacturing costs, rather than a portion of costs as proposed in Proposal 7. Witnesses testified that continued capital investment in plant yield and efficiency gains have not fully countered the effects of insufficient make allowances as costs have continued to increase. Without make allowances accurately reflecting costs, the witness said, manufacturers receive inaccurate financial signals, which impact investments, capital distribution, and FMMO pooling decisions. Additionally, they said the competitive advantage gained by manufacturing plants not regulated by an FMMO lead to more investments into operations unaffiliated with the FMMO system. Only an increase in make allowances reasonably covering commodity product manufacturing costs, according to these witnesses, can counteract these effects. In its post-hearing brief, IDFA reiterated opposition for Proposal 7, writing that the proposed make allowance levels are inadequate and not grounded in observed data. IDFA stressed that make allowances are defined as covering the entire cost of converting raw milk to a given dairy product, not a portion. In its brief, IDFA pointed to NMPF’s recognition that Proposal 7’s make allowances do not fully cover actual costs but instead represent a balance dairy farmers can withstand. IDFA objected to the consideration of farm production costs when determining make allowance levels. IDFA reiterated FMMOs are not a price support or income support program, and the prices must reflect the market price of end-dairy products. IDFA explained manufacturers cannot raise the prices of commodity dairy products to offset higher manufacturing costs because the wholesale prices are captured in the NDPSR and would raise the reference price by the same amount. AMPI reiterated in its post-hearing brief opposition for Proposal 7 as failing to reflect 2022 manufacturing costs. AMPI argued that USDA should not delay increasing make allowances on the possibility that legislation will give USDA the authority to conduct a mandatory audited survey. A witness from DIC testified in support of Proposals 8 and 9. The witness testified that setting minimum prices too high incentivizes excess milk production, while a low minimum price through higher make allowances allows for over-order premiums to set a competitive market price. The witness E:\FR\FM\15JYP3.SGM 15JYP3 ddrumheller on DSK120RN23PROD with PROPOSALS3 Federal Register / Vol. 89, No. 135 / Monday, July 15, 2024 / Proposed Rules argued Class III and IV prices should allow manufacturing plants to clear the market and operate profitably. The DIC witness entered data concerning its 2022 California dairy manufacturing cost forecast (2022 CA Forecast). The witness testified the 2022 CA Forecast used a combination of 2003–2016 California Department of Food and Agriculture (CDFA) data, state and national indices, and market developments to measure how changes in labor, utility, and other costs historically moved the actual CDFA cost data. The model then used that information to forecast Californiaspecific 2017–2022 manufacturing costs, according to the witness. The witness said while the model forecasts costs, the range of actual costs around those forecasts could be relatively wide given the relatively few observations (14 years) used to estimate the model. For example, the expert witness elaborated that CDFA only collected dry whey costs until 2006, when they surveyed fewer than three dry whey plants, which is why the CA analysis did not forecast dry whey costs. The DIC witness opined the best approach to determine manufacturing allowance levels is using observed cost data but offered the 2022 CA Forecast as another methodology for use with the other cost surveys and testimony presented. An IDFA witness testified in support of Proposals 8 and 9, stating make allowances should be updated to reflect increased costs in manufacturing dairy products. The witness said that while end-product-prices change monthly to reflect the current market, make allowances are fixed at 2006 cost levels, forcing dairy manufacturers to lose money or stop production. The witness stressed the need for relief from the current inadequate make allowances that do not reflect rising industry costs, adding losses are not sustainable for plants or dairy farmers who depend on these manufacturing outlets for their milk. The witness explained IDFA’s proposed make allowances are simple averages of the 2023 survey and 2022 CA Forecast plus a $0.0015 marketing cost. The IDFA and WCMA witnesses asserted accurate make allowances need to be adopted quickly as current make allowances are based on 2005/2006 cost data. The IDFA witness clarified their staggered implementation proposal, which would implement proposed year 1 levels shortly after the final decision is published. Both IDFA and WCMA witnesses said the staggered implementation is designed to recognize the impact significant make allowance increases would have on producer VerDate Sep<11>2014 19:40 Jul 12, 2024 Jkt 262001 prices. However, if there is any delay in implementing changes, both witnesses stressed the staggered implementation approach should be abandoned and the proposed year 4 levels should be implemented. The WCMA witness stated the use of audited California manufacturing cost data in the 2022 CA Forecast should alleviate any data validity concerns and the 2023 survey methodology follows precedent used to determine the current make allowance levels. The witness noted the risk of using a simple average of the 2022 CA Forecast and the 2023 survey to determine proposed make allowances is the potential of the result being skewed towards California costs, since California plants are represented in both surveys. A dairy farmer witness, who is a member of AMPI, testified on behalf of IDFA and expressed support of Proposals 8 and 9. The witness testified that AMPI, who participated in the 2023 survey, experienced cheese manufacturing costs close to the study average despite plant sizes that were smaller than the survey average plant size. The witness said their manufacturing costs of bulk cheese products are 47 percent higher and general plant expenses are up 62 percent in 2022, compared to 2008. Several dairy manufacturer witnesses representing Hilmar Cheese Company (Hilmar), Glanbia, Saputo, and Leprino testified in support of Proposals 8 and 9. Hilmar is a cheese and whey manufacturer with processing locations in California and Texas. These witnesses testified dairy processing costs have increased, particularly of late because of inflation, noting Hilmar’s natural gas costs were 45.1 percent above the 20-year average. The Saputo witness echoed testimony on increasing costs, citing the St. Louis Federal Reserve data series for labor, energy, packaging, and maintenance costs. The witness said these costs, comprising 20 percent of the total cost to manufacture a finished cheese product, rose 60 percent, on average since 2006. According to the witness, Saputo’s manufacturing costs align with the 2021 and 2023 survey results. The Hilmar witness testified their manufacturing cost increases correlate with the results of the 2022 CA Forecast. The Leprino witness stated the 2021 survey and 2023 survey had robust participation, and the 2022 CA Forecast, which used CDFA audited mandatory data, leveraged a widely accepted statistical modeling approach. All four witnesses stressed the urgency of updating make allowances. The manufacturer witnesses generally agreed that inaccurate make PO 00000 Frm 00015 Fmt 4701 Sfmt 4702 57593 allowances distort pricing signals for farmers, processors, and ultimately consumers. Witnesses representing Nasonville Dairy and Cedar Grove Cheese, two proprietary specialty and commodity cheese manufacturer members of WCMA, testified to rising manufacturing costs by outlining costs in a similar manner to the 2021 and 2023 surveys. According to the witnesses, their costs have risen $0.3226 and $0.77 per pound, respectively, far beyond the fully implemented Proposal 8 levels. The witnesses testified that insufficient make allowances negatively impact cheese processing investments and increase the production of highercost specialty products unable to play the same balancing or foodservice roles as commodity products. They added current make allowance levels impair the ability of proprietary manufacturers to participate in the FMMO pool and deprives producers the benefits of having their milk pooled. In their post-hearing briefs, WCMA and IDFA reiterated their support for Proposals 8 and 9. IDFA wrote that USDA has consistently set make allowances to reflect the most recent and reliable actual cost data, using multiple surveys, as in Proposals 8 and 9. Further, IDFA stressed in its brief the 2023 survey is the most robust of all of the author’s previous surveys used to set make allowances. IDFA refuted the notion the 2022 CA Forecast is inappropriate to use for determining make allowances, explaining the underlying data is robust audited California manufacturing data and the econometric techniques are widely accepted. IDFA contended that the 2022 CA Forecast and 2023 survey averages are lower than the cooperative manufacturing costs shared on the record. Even if inflation has subsided since 2022, IDFA added in its brief, there would have to be deflation to arrive below pre-2022 levels. IDFA clarified in its brief the proposed schedule for phasing in make allowance changes, which is designed to accommodate farmers. When addressing implementation timing, IDFA refuted the CME’s points about incorporating risk management in the timing of implementation, arguing that CME’s interests do not necessarily align with those of the broader dairy industry because of the fee revenue they generate. In its brief, IDFA emphasized the destabilizing effect of current make allowances on processors and farmers. IDFA shared charts from the hearing, showing how the Mailbox Price is in close proximity to FMMO blend price, E:\FR\FM\15JYP3.SGM 15JYP3 ddrumheller on DSK120RN23PROD with PROPOSALS3 57594 Federal Register / Vol. 89, No. 135 / Monday, July 15, 2024 / Proposed Rules which it says indicates FMMO prices are too high. IDFA refuted NMPF’s argument that Proposals 8 and 9 will result in a $1.42 per cwt decrease in the All-Milk Price because FMMO prices are minimum prices and don’t reflect premiums received. Further, IDFA wrote in its brief that dairy farmers whose cooperatives own processing facilities are receiving depressed prices when make allowances are too low. IDFA said the best method to update make allowances is through a mandatory and audited USDA survey; however, USDA does not currently have the authority and IDFA estimates it would take approximately five years before new make allowances could be adopted once the authority was granted. IDFA reiterated arguments that make allowances under-representing actual costs harm both dairy farmers and manufacturers. In its post-hearing brief, AMPI reiterated support for the make allowance levels in Proposals 8 and 9, contending they accurately reflect the changes in costs. AMPI added it supports immediate implementation, rather than the phased 4-year approach. AMPI wrote the 2023 survey had the largest product volumes of any previous surveys and highlighted other manufacturing cooperative testimony describing increased manufacturing costs. AMPI opined continued high manufacturing costs and farm bill delays have made make allowance updates more urgent. Leprino’s post-hearing brief reiterated its support of Proposals 8 and 9, emphasizing the importance of implementing make allowance changes immediately. Leprino stressed 2023 cost levels have continued to climb and offered its own updated cost increases, compared to 2022: 11 percent for labor, 17 percent for property insurance, and 9 percent for liability insurance. A witness representing the AFBF testified in opposition to Proposals 8 and 9, opining the 2021 and 2023 survey data may be biased due to its unaudited nature and the known potential to be used for rulemaking, stating the incentive to overestimate reported costs for commodity goods disqualifies this voluntary data. The witness testified only the 2016 CDFA survey results can be verified as accurate enough to be used for determining make allowances. According to the witness, the relatively complicated 2022 CA Forecast model using a small number of observations (14 years) to forecast 2022 costs (6 years out from the actual data) could be overfitted to the 2000–2016 data and unreliable to predict future costs. VerDate Sep<11>2014 19:40 Jul 12, 2024 Jkt 262001 Numerous dairy farmer witnesses testified in opposition to Proposals 8 and 9, focusing on the negative effect significant make allowance increases would have on producer pay prices. A DFA farmer witness from New Mexico testified the make allowance increases contained in Proposals 8 and 9 would result in negative operating income over the next 10 years, making continued operation of their farm unsustainable. The witness said any make allowance increases would severely and disproportionally impact producers in the southwest due to the share of milk going into manufacturing products. A LOL dairy farmer testified significant increases in make allowances would be difficult for farms in California to absorb, where water scarcity has led to high forage costs. According to the witness, large make allowance increases would put adequate milk supply at risk, all the while guaranteeing profit for commodity manufacturers and leading to over production of manufactured dairy products. Two dairy farmer witnesses, a member of the CDC and a small Maryland dairy farmer, testified against increases in make allowances due to the impact on producer pay prices and lack of accounting for dairy farm production costs. According to the witnesses, while processors can pass on costs to customers up the supply chain, producer margins are too thin to sustain substantial price decreases from increased make allowances. The witnesses testified that further declines to producer margins will cause more producer exits and disruption to the milk supply. A dairy farmer representing Edge testified any change in make allowances should require a 15.5-month delay, be restrained by the impact on producer pay prices, and cover only the most efficient plants. In its post-hearing brief, NMPF reiterated its arguments in opposition to Proposals 8 and 9. NMPF argued that these proposed changes would decrease dairy farmer milk prices by approximately $1.45 per cwt, further narrowing producer margins and causing disorderly marketing. NMPF cited ongoing plant investment as an indication current make allowances are not too low as portrayed by proprietary manufacturers. NMPF emphasized proprietary manufacturers are not required to be regulated and, thus, can choose not to participate in the FMMO and avoid paying minimum prices they contend are too high because of inadequate make allowance levels. NMPF opined about the lack of evidence to merit raising make PO 00000 Frm 00016 Fmt 4701 Sfmt 4702 allowances to levels contained in Proposals 8 and 9. In its brief, NMPF refuted the studies used as a basis for Proposals 8 and 9. NMPF cited hearing testimony regarding the insufficiency of some plant sample sizes in the 2023 survey. Further, NMPF argued the 2023 survey does not capture how manufacturing costs are skewed by plants that serve a balancing role. NMPF stated if make allowances are set too high, balancing plants would be incentivized to run at maximum capacity, rather than running at less than full capacity to provide critical balancing services to the market. NMPF voiced concerns with the 2022 CA Forecast, noting the proposed make allowances in Proposals 8 and 9 are duplicative since the 2023 survey included California data. Further, NMPF opined that the 2022 CA Forecast is of little utility as it did not account for basic changes to the California dairy manufacturing sector since 2016, such as plant openings and closings and productivity improvements. In its post-hearing brief, Select also opposed Proposals 8 and 9, on the basis of the 2022 CA Forecast being inappropriate to use in determining make allowances. Select echoed NMPF’s argument that use of the forecast would be duplicative of California data. Further, Select argued indexing does not account for improvements to plant efficiencies and the Department has not previously used indexing to determine make allowances. In its brief, the AFBF opposed any increase to make allowances, instead advocating they only be increased once a mandatory, audited cost survey was administered by the Department. The AFBF opined that both the 2021 and 2023 surveys were biased because there was a clear intention the surveys would be used in a rulemaking proceeding. The AFBF opposed the use of indexing to set make allowances, as was done in the 2022 CA Forecast, because it fails to recognize productivity improvements over time. The AFBF echoed other brief arguments that continued processor investment is evidence that make allowances are not too low. The Midwest Dairy Coalition (MDC), an alliance of six dairy farmer-owned cooperatives operating in the Midwest, filed a post-hearing brief stating make allowance updates are long overdue, but took the position the Department should be granted legislative authority to conduct a mandatory and audited cost survey. MDC did not offer support or opposition to any make allowance related proposals. In its post-hearing brief, Edge also did not support or oppose any make allowance related E:\FR\FM\15JYP3.SGM 15JYP3 Federal Register / Vol. 89, No. 135 / Monday, July 15, 2024 / Proposed Rules ddrumheller on DSK120RN23PROD with PROPOSALS3 proposals but cautioned against setting make allowances too high. Until there is a mandatory and audited USDAadministered survey, Edge stated, the Department should err on the side of caution to not subsidize commodity manufacturing. In its post-hearing brief, Select offered an alternative methodology for determining the make allowance levels using what Select argued was the most reliable record data. Select suggested taking the average of the 2021 survey and 2023 survey, subtracting the current make allowance level, and taking half that difference to add to current make allowance levels. As a result, Select proposed the following: cheddar cheese, $0.2281; butter, $0.2004; NFDM, $02260; and dry whey, $0.2498. In its post-hearing brief, CME noted any make allowance changes would be considered material changes, and USDA should consider an implementation timeframe that mitigates risks to those involved in futures and options trading. b. Yield Factors Submitted by Select, Proposal 10 seeks to amend the cheese price formula by increasing the butterfat recovery rate in the cheese yield, from 90 to 93 percent. A Select witness testified in support of Proposal 10 and clarified a butterfat recovery rate of 93 percent would also necessitate an increase in the butterfat yield factor in the protein price formula from 1.572 to 1.624. According to the witness, these changes would result in a modest increase in the Class III price, estimated at $0.04 per cwt. The witness stressed USDA should not be guided by price impacts but rather by achieving formulas to better reflect manufacturing realities and the actual value of raw milk. Select reiterated support for this proposal in its post-hearing brief. An independent expert witness, retained by Select, testified advancements in vat technology, coagulants, and curd handling have enabled manufacturers to achieve recovery rates higher than the currently assumed 90 percent. The witness described how modern, horizontal vats attain butterfat recoveries far exceeding both open and enclosed horizontal vats, and how most commodity cheddar manufacturers use advancements in coagulants and curd handling to attain greater than 93 percent butterfat recovery. Additionally, the witness said, whey cream can be reintroduced into the cheesemaking vat to increase cheese yield and revenue, ultimately increasing butterfat recovery. The AFBF wrote in its brief that it also supports Proposal 10 to increase VerDate Sep<11>2014 19:40 Jul 12, 2024 Jkt 262001 the butterfat recovery factor. The AFBF pointed to evidence on the record of increasing plant efficiencies, justifying updating the butterfat recovery factor to the level in Proposal 10. Six witnesses, representing Glanbia, Leprino, IDFA, CDI, DIC, and MPC, testified in opposition to Proposal 10. The Glanbia witness described a broad range of industry fat recovery based on plant age and processing techniques, and acknowledged many modern plants, including Glanbia plants, can achieve 93 percent cheddar fat recovery. The witness testified Proposal 10 is being offered to enhance prices while ignoring other parts of the formula that overvalue milk. The witness contended lost solids within the manufacturing plant and the discounted price of whey cream, should they be considered, outweigh the effects of Proposal 10 on milk prices. The Leprino witness testified any changes to the yield factor should only occur after a comprehensive review of all yield assumptions. The witness agreed 93 percent butterfat retention is achievable in some plants but does not believe it is possible across the entire industry. The IDFA witness contended Proposal 10 takes a piecemeal approach to changes in the yield formula and selectively focuses on dairy farmer revenue enhancements only. The witness opined whey cream is overvalued in the current formula, as butterfat not going into cheese is currently valued as Grade AA butter despite regulation that whey cream cannot be used in Grade AA butter. The witness claimed whey cream is discounted 20 percent or more compared to fresh cream. In addition, the witness said in-plant milkfat losses are not recognized in the current formula, something that should be considered when evaluating yield factor changes. The witness testified any decreases in the Class III prices that result from accurately accounting for both processing losses and whey cream values would more than offset the increases in Class III prices proposed by Select. A witness from the Center for Dairy Research (CDR), appearing on behalf of IDFA, testified to observing improvements in butterfat retentions over the past 40 years, mostly due to improved vat design and technology. The CDR, with a dairy plant on the University of Wisconsin-Madison campus, supports the U.S. dairy industry with expertise in cheese, dairy ingredients, cultured products, dairy beverages, quality/safety, and dairy processing. The witness noted a range of butterfat losses at the cutting stage including 9 to 10 percent fat loss in PO 00000 Frm 00017 Fmt 4701 Sfmt 4702 57595 open vats, 7 percent fat loss in Double O vats, 6 percent fat loss in horizontal vats, and 5 percent fat loss in modern vats. The witness testified that while large modern plants are installing newer, more efficient vats, old, less efficient vats are not leaving production, and are being repurposed and installed in medium and small plants throughout the country. The witness noted there is still a large variety of vats being using in the industry, and stressed the latest vat design does not ensure optimal butterfat retention, as the experience of the cheesemaker and product handling practices could also lower butterfat recovery. Based on current observations and work within the industry, the CDR witness provided best estimates for fat recoveries in cheddar cheesemaking as 91 to 93 percent retention in well-run factories with modern vats, 90 to 92 percent retention in well-run factories with vertical Double O vats, and 88 to 91 percent retention in factories with open vats. The witness said, based on their experience, 91 percent could be considered the industry average butterfat recovery for cheddar cheese plants. A CDI witness, appearing on behalf of NMPF, testified to the lack of yield data available to support the proposed recovery rate contained in Proposal 10. The witness supported a tempered update to the cheese make allowance that does not include an update to the yield factor. A witness representing DIC testified the current 90 percent butterfat recovery rate is reasonable because, despite some newer, more efficient plants achieving higher fat recovery, older plants may not be able to achieve the higher rates. The DIC witness stated fat recovery data is lacking across the industry and further asserted the current 90 percent butterfat recovery should be retained. The witness representing MPC testified the current formula should remain in place until the industry tackles the mechanics of the Class III formula, and the big issue is how butterfat not being retained in the cheesemaking process is valued. A witness representing AMPI provided testimony supporting the improvement seen in butterfat recovery due to new vat technology. The witness said AMPI installed cheesemaking equipment that facilitates the recovery of fat; however, they did not provide specific data. Submitted by Select, Proposal 11 seeks to eliminate farm-to-plant shrinkage from the yield factors in the FMMO Class III and IV price formulas. A witness appearing on behalf of Select testified USDA’s decision to include E:\FR\FM\15JYP3.SGM 15JYP3 ddrumheller on DSK120RN23PROD with PROPOSALS3 57596 Federal Register / Vol. 89, No. 135 / Monday, July 15, 2024 / Proposed Rules shrinkage in the formula was premised on the concept that such losses were not in the handler’s control and are unavoidable and common. The Select witness was of the opinion producers, cooperatives, and handlers do have the ability to address and stem losses in the transportation of milk from the farm to the plant. The witness said historically, as the number of farms on a milk route increased, the probability for discrepancies between farm weights and plant weights also increased, as each stop offered potential for spillage, loss within piping, and errors in measurement. The witness shared statistics on the increasing size of U.S. dairy farms, stating that in 2016, threequarters of all U.S. milk production came from farms that could fill a full tanker, whereas in 2000, less than half of U.S. production came from farms filling a full tanker. The witness estimated 80 percent of the current milk volume in the U.S. comes from farms able to fill full tankers on every-otherday pickup schedules. Consequently, said the witness, the occurrence of shrinkage is decreasing. As an example, explained the witness, Select’s members are large enough to ship full tanker loads of milk, meaning Select does not experience the same risks of milk loss which occur on multi-stop routes. Other than milk losses occurring with hoses, the Select witness was unaware of any inherent, unavoidable, farm-toplant losses that could occur within the pick-up process. The witness said even farms without the ability to fill a tanker can adopt farm scales, flow measurement, and other technologies to minimize imprecision and inaccuracy. The witness testified the cost of implementing these improvements would be offset by the anticipated price impacts of adopting Proposal 11, which the witness estimated to be $0.07 per cwt. A second Select witness presented an analysis of Select plant data from August 2022 to July 2023, representing 171,240 milk shipments and a total of 9.8 billion pounds. The witness stated approximately half of their customers do not report plant weights back to Select. For those plants who do report, the witness said reported plant weights exceeded farm weights about half of the time. The witness stated non-shrink factors, such as scale calibration or weather, typically cause the large discrepancy between farm and plant weights. The witness concluded that for the subset of loads where differences occurred between farm and plant weights, the net variance across all loads was less than 0.1 percent. VerDate Sep<11>2014 19:40 Jul 12, 2024 Jkt 262001 A witness testifying on behalf of Continental Dairy Facilities (CDF) and Continental Dairy Facilities Southwest (CDF SW), two wholly owned subsidiary plants of Select in Michigan and Texas, manufacturing NFDM, butter, and buttermilk powder, presented farm-to-plant loss data to support Proposal 11. The witness analyzed farm-to-plant losses in milk deliveries to the two CDF facilities from August 2022 through July 2023, comprised of both single and multi-farm pickups. The witness stated in total, plant weights averaged 0.15 percent lower than farm weights for CDF and 0.10 percent lower for CDF SW. The discrepancies ranged from a negative 0.32 percent (plant weights were 0.32 percent lower than farm weights) to 0.67 percent (plants weights were 0.67 percent lower than farm weights). Since many of the non-Select shipments to CDF are multi-farm pickups, the witness said management for farm-to-plant shrink is not unique to Select or larger farms, generally. The witness described improperly calibrated scales, input or transposition errors by milk haulers, changes in equipment or personnel when weighing loads, or snow settled on scales or tanks when weighing, as reasons for weight discrepancies. The witness testified these variances are not inherent and that they can be addressed. Select reiterated its arguments supporting Proposal 11 in its posthearing brief. The AFBF expressed support for Proposal 11 in its post-hearing brief. The AFBF contended that data on farmto-plant shrinkage contained in evidence is similar to what was used to determine the original farm-to-plant shrinkage factor. The AFBF argued that this issue does not merit a formal data collection, but a one-time adjustment to reflect that farm-to-plant shrinkage is much less significant than it used to be. Five witnesses representing IDFA, Leprino, CDI, DIC, and MPC testified in opposition to Proposal 11. The witnesses asserted Select’s minimal farm-to-plant shrinkage is not the reality for much of the dairy industry, noting the lack of industry-wide data on farmto-plant shrinkage and the differing nature of measuring components at the farm, rather than at the plant, are reasons Proposal 11 should not be adopted. The witnesses further testified FMMO yield factors should not be based on one company’s experience, especially one, they argued, that was an industry leader in this area. The Leprino witness testified that while Select has been able to limit their own farm-to-plant loss through increasing herd sizes and improvements PO 00000 Frm 00018 Fmt 4701 Sfmt 4702 in milk weighing and sampling, this is not a representation of the nationwide dairy industry. Additionally, the witness argued the scientific characteristic of milk fat clinging to the walls of stainless steel has not changed; as such, volume and fat loss still occur, even at the most innovative plants. The IDFA witness claimed less than 10 percent of all farms produce enough milk to fill entire tanker loads, so it is reasonable to conclude the losses experienced when the formulas were adopted are still happening today. According to the witness, failure to account for the diversity of farm size may further incentivize manufacturers to prefer larger farms over smaller farms. Submitted by Select, Proposal 12 recommends amending the nonfat solids price formula by increasing the NFDM yield factor from 0.99 to 1.03. A Select witness testifying in support of Proposal 12 said it would correct the NFS yield factor by including the value of milk solids utilized in buttermilk powder, as producers are not currently paid accurately from a price calculated on NFDM prices alone. According to the witness, a proper yield factor for NFDM should account for all milk solids, including the milk solids remaining in cream after separation and used in butter or buttermilk. The witness stressed the initial NFS formula, correctly adopted in 2000, included buttermilk powder. A witness representing CDF and CDF SW testified on price alignment and processing differences between NFDM and buttermilk powder. The witness stated sales and regional prices observed at the two plants for buttermilk powder and low-heat NFDM are closely aligned, as well as consistent with prices reported by AMS’ Dairy Market News (DMN) from January 2023 through June 2023. The witness further testified that the process of drying buttermilk utilizes the same equipment as that of drying skim milk but requires a thorough cleaning of equipment when changing product lines, higher temperature, and additional drying time due to buttermilk’s higher butterfat content. The witness said this leads to increased utility costs of approximately $0.02. The witness testified the NFS yield factor should consider all powder products, including buttermilk powder whose yield is lower than NFDM. Select reiterated its arguments in support of Proposal 12 in its post-hearing brief. In its post-hearing brief, the AFBF expressed support for Proposal 12 as it believes it reflects the long-term market shift toward valuing buttermilk near the NFDM price. The AFBF stated that a formal extensive data collection is not E:\FR\FM\15JYP3.SGM 15JYP3 ddrumheller on DSK120RN23PROD with PROPOSALS3 Federal Register / Vol. 89, No. 135 / Monday, July 15, 2024 / Proposed Rules necessary for this proposal to be adopted because there is a clear record of buttermilk values. Two witnesses, representing Leprino and IDFA, testified in opposition to Proposal 12. The witnesses testified Proposal 12 is based upon a theoretical yield approach which assumes a perfect system with no in-plant component losses in the conversion of NFS to NFDM. The witness said in-plant losses exist even in the most modern and efficient manufacturing facilities and should be recognized in the price formulas. The witnesses gave an example of the portion of NFS remaining in cream after separation, which cannot be processed into NFDM. The Leprino witness argued the FMMO system is predicated on the notion processors should pay for milk based on the revenue they can derive from selling products manufactured from that milk. The witness said milk routinely lost in processing does not end up in finished products, which should continue to be accounted for in the formulas. The IDFA witness testified product yields should incorporate manufacturing losses, and overestimating the quantity of NFDM manufactured from NFS by accounting for buttermilk powder would overvalue the market-clearing of NFDM and contribute to disorderly marketing. A witness from CDI testified on behalf of NMPF in opposition to Proposal 12. The witness testified CDI supports evaluating all factors in the Class III and IV formulas, and yield factors should only be updated once industry-wide data on product yields are available. The witness stated the NFS price formula is based on NFDM and the yield factor correctly reflects the yield of NFDM only, without an adjustment for buttermilk powder. The witness said Proposal 12 would adjust the NFDM yield factor to represent a composite yield for multiple products which differ in terms of component composition, uses, cost of manufacture, and market prices. While acknowledging buttermilk powder’s processing costs are likely higher than NFDM’s, the CDI witness testified there was not enough data to quantify the difference in processing costs; further, data presented from DMN and by Select witnesses are not sufficient to determine the alignment of prices between buttermilk powder and NFDM. The witness clarified that buyers of butterfat and NFS must account for all solids utilized at the minimum component prices, regardless of whether the solids are used in the surveyed products of butter and NFDM or in other Class IV products such as buttermilk powder. VerDate Sep<11>2014 19:40 Jul 12, 2024 Jkt 262001 A witness from the DIC testified in opposition to Proposal 12. According to the witness, while NFDM yields are likely higher than the current yield factor of 0.99, not all NFS in producer milk end up in NFDM, with some NFS from cream remaining in buttermilk. The DIC witness claimed the lower yield factor is to compensate for generally lower buttermilk powder prices compared to NFDM but acknowledged DMN data suggested a buttermilk powder price discount relative to NFDM narrowing in recent years. A witness from MPC testified in opposition to Proposal 12, stating they were opposed largely due to a lack of adequate data. In their post-hearing briefs, IDFA and NMPF opposed Proposals 10, 11, and 12. IDFA argued the three proposals are not representative of industry-wide experience, but rather on what is possible given modern technology and equipment. NMPF echoed IDFA’s opposition in its brief, citing insufficient data to justify the proposed changes. IDFA specifically objected to Proposal 11, stating it would place an unfair burden on small farms that cannot fill a tanker and, thus, continue to experience shrinkage. Proposal 11 was also opposed by WCMA in its posthearing brief. Lastly, IDFA contended Proposal 12 should be rejected because it overvalues buttermilk powder. Base Class I Skim Milk Price Six proposals to amend the base Class I skim milk price were considered in this proceeding. Proposal 13, submitted by NMPF, seeks to return the base Class I skim milk price to the higher-of the Class III or Class IV advanced skim milk price, referred to as the ‘‘higher-of’’ mover. Proposal 14, submitted by IDFA, would use an average of the advanced Class III and Class IV skim milk prices, plus an adjuster that resets every January. The adjuster would be the higher of either: (1) $0.74; or (2) the 24month average difference between the higher-of and the average-of the advanced Class III and Class IV skim milk pricing factors. The 24-month calculation would run from August of the three years prior to July of the previous year. Proposal 15, submitted by MIG, would amend the current average-of mover from a $0.74 adjuster to a monthly rolling average adjuster calculated as the difference between the higher-of and the average-of, for 24 months, with a 12-month lag. Proposal 16, referred to as ‘‘Class III plus,’’ submitted by Edge, would start with the announced Class III price and incorporate a 36-month rolling adjuster averaging the monthly differences PO 00000 Frm 00019 Fmt 4701 Sfmt 4702 57597 between the higher-of the advanced Class III or advanced Class IV skim milk prices, and the Class III skim milk price. The proposal would eliminate advanced prices. Proposal 17, also submitted by Edge, would return to the higher-of mover but would use announced rather than advanced prices. Proposal 18, submitted by the AFBF, would return to the higher-of mover and would eliminate the advanced pricing of Class I skim milk, Class I butterfat and Class II skim milk. An NMPF witness testified in support of Proposal 13. The witness reviewed the 2000 Federal Order Reform (Order Reform) rulemaking and summarized the higher-of methodology as accurately reflecting the value of the different milk use categories and ensuring shifts in demand for any one manufactured product does not lower Class I prices. The witness said the Department determined during Order Reform that the higher-of mover addresses disorderly marketing by reducing volatility in milk prices, reducing class price inversions and depooling, and assisting Class I handlers in competing for a milk supply. The NMPF witness testified the 2019 change to the average-of was designed to facilitate price risk management strategies for fluid milk processors, which, the witness stated, is not an objective of FMMOs. The witness said the intent of the change was to be roughly revenue neutral, while allowing handlers to better manage volatility in monthly Class I skim milk prices using Class III and Class IV milk futures and options contracts. The witness claimed the 2019 change has not functioned as intended or anticipated by NMPF, has exacerbated disorderly marketing conditions, has not been revenue neutral, and will continue to have deleterious effects on the dairy industry. The witness described the asymmetrical risk to producers which was not anticipated when the mover change occurred. The witness explained the higher-of exceeds the average-of calculation whenever the Class III and IV advanced skim milk pricing factors differ by more than $1.48 per cwt, regardless of which factor is higher. The witness noted the reverse is true when the advanced skim pricing factors differ by less than $1.48 per cwt. A witness from Southeast Milk, Inc. (SMI), a NMPF cooperative member with 114 dairy farmer members, testified that when the two advanced skim milk pricing factors are equal, the maximum amount by which the average-of can exceed the higher-of Class I mover is $0.74 per cwt, but there is no limit by which the average-of can E:\FR\FM\15JYP3.SGM 15JYP3 ddrumheller on DSK120RN23PROD with PROPOSALS3 57598 Federal Register / Vol. 89, No. 135 / Monday, July 15, 2024 / Proposed Rules fall below the higher-of Class I mover. The NMPF witness testified that in 2020 and 2022, there were instances when the average-of mover fell below what the higher-of mover would have been, in which the difference was at times significant. The witnesses testified the maximum divergence recorded between the current average-of mover and the higher-of mover was a $5.19 lower average-of mover in December 2020, when Classes II, III, and IV skim prices differed by approximately $11 per cwt. In comparison, the witness said, the maximum gain during that time was capped at $0.74. The SMI witness said because the upside is capped, but the downside is not, it is difficult to ever return to revenue neutrality under the average-of mover. The SMI witness testified the averageof mover has lowered dairy farmer revenue compared to what they would have received under the higher-of mover, with estimated cumulative market losses totaling $998.3 million from May 2019 through August 2023. The witness said that for the same period, the average-of mover decreased revenue to the southeastern FMMO producers by more than $192 million. The NMPF witness reviewed data during periods of relative price stability, revealing the average-of mover generated modest gains over the higherof mover. However, in periods of price volatility, there were substantial revenue losses in months when the average-of mover was less than the calculated higher-of mover, which resulted in significant cumulative losses to producers over time. The NMPF witness claimed the change to the average-of mover increased disorderly marketing by reducing Class I prices relative to the other classes and creating greater incentives for handlers to depool milk. The witness said that in 2020, the enhanced demand for cheese relative to the demand for butter and NFDM widened the spread between Classes III and IV well beyond $1.48, substantially lowering Class I prices compared to what they would have been under the higher-of mover. The SMI witness testified that between May 2019 and June 2023, the Class III skim value exceeded the Class IV skim value by over $1.48 per cwt in 16 months, and the Class IV skim value exceed Class III skim value by $1.48 or more per cwt in 11 months. In 2023, according to the SMI witness, the average-of continued to be lower than the higher-of in some months, which had a more significant impact to dairy farmers because it occurred during a time of extremely low dairy farm margins. The witness said VerDate Sep<11>2014 19:40 Jul 12, 2024 Jkt 262001 they expect to see more volatility and larger spreads between Class III and Class IV prices in the future because of anticipated higher butterfat prices which will lower the Class III skim value. The NMPF witness testified that adoption of the average-of mover created class price inversions and resulted in significant volumes of depooled Class III milk during the second half of 2020. Class price inversions occurred again in 2022 and 2023, said the witness, resulting in price volatility and substantial depooling of Class IV milk. The witness opined a wide variety of market conditions have proven capable of generating market volatility, driving a wedge between Class III and IV skim milk prices, and resulting in an average-of mover of more than $1 per cwt below what the higherof mover calculation would have been. The NMPF witness said the averageof mover has not resulted in increased risk management activity at a value to handlers anywhere near the losses experienced by dairy farmers. Numerous witnesses testified their fluid milk customers have shown very little interest in hedging milk since the average-of mover was implemented. NMPF witnesses testified other Class I mover proposals under consideration in this proceeding use the higher-of mover calculation as the benchmark for determining adequate Class I skim milk price revenue. They testified those proposals provide producers revenue in an after-the-fact-manner that fails to maintain the maximum monthly separation between advanced Class I prices and the manufacturing class prices, a goal expressed by the Department when it recommended the higher-of mover during Order Reform. The SMI witness testified that because of the change to the average-of mover, the southeastern FMMOs experienced disproportionately large reductions in blend prices due to the higher Class I utilization in the region, making it harder to attract supplemental milk the region requires to meet fluid demand. The witness noted that using an average-of mover to establish a Class I skim price makes it more difficult for Class I handlers to procure milk from plants with higher-value manufactured products because the price difference is not large enough to draw milk away from manufacturing. The witness opined a Class I skim mover should provide for orderly marketing by ensuring an adequate supply of raw milk for fluid plants, producer price equity including prompt and uniform payments to farmers and cooperatives, and stability for dairy farms. The PO 00000 Frm 00020 Fmt 4701 Sfmt 4702 witness argued the current average-of mover makes it more difficult for FMMOs to achieve those purposes. An NMPF consultant witness testified the higher-of mover is necessary to transmit market signals in real time. The witness said a higher Class I milk price relative to other class prices sends market signals to move milk from surplus to deficit regions to ensure adequate fluid milk supplies. Additionally, the witness continued, disorderly marketing caused by prolonged depooling occurs when the Class I price is lower than Class II, III, or IV prices. The witness asserted prolonged periods of depooling create market disorder. Since the change in 2019, claimed the witness, the Class I mover has facilitated persistent longterm periods of depooling because there is no guarantee Class I prices will exceed the other class prices over time. In contrast, the witness asserted that under the higher-of mover, if Class III and IV advance skim prices increased, the Class I price would remain higher and depooling would moderate. The NMPF witness presented data to demonstrate the objective of adopting the average-of mover, to allow for greater risk management, has not been accomplished, and prolonged periods of depooling have made it difficult for producers to hedge their farm margins. The witness stated that when milk is not pooled, producer hedging losses cannot be offset by gains on milk checks because revenue from the higher valued manufacturing milk is not shared with the marketwide pool. The witness asserted risk-management performance is relatively similar under the higher-of and average-of movers, entering data they believed showed how Class III futures contracts would similarly mitigate risk. The witness contended other proposals do not adequately replicate the higher-of price in future periods; nor do they share equally among dairy producers and others, necessitating periodic recalibration. Rather than recognize the average-of limitations, the witness said, other proposals seek to align the average-of and higher-of performance. The witness testified an average-of mover with an adjuster causes past market conditions to influence current prices, sending pricing misinformation to the market and causing disorderly marketing. The witness concluded that without immediate market signals from the advanced Class III and IV milk prices, any of the average-of or Class III plus movers would struggle to replicate the higher-of mover performance. An NMPF witness representing Prairie Farms testified producer revenue E:\FR\FM\15JYP3.SGM 15JYP3 ddrumheller on DSK120RN23PROD with PROPOSALS3 Federal Register / Vol. 89, No. 135 / Monday, July 15, 2024 / Proposed Rules has been significantly reduced, without recovery, since the change to the average-of mover. Prairie Farms is an Illinois based farmer-owned milk cooperative with over 600 dairy farmer members operating fluid milk processing and manufacturing facilities that produce a variety of fluid and manufactured dairy products. Increased depooling in the last few years because of the average-of mover has resulted in increased price volatility, the witness said. The witness testified that with the average-of mover either Class III or Class IV milk is not pooled, depending on which class is higher, because the manufacturer is able to keep the additional market revenue instead of sharing it among pooled producers. The Prairie Farms witness testified dairy producers want a pricing system that gives real-time market signals, which is accomplished with the higherof mover. The witness testified Prairie Farms supported the change to the average-of mover believing it would facilitate their customers’ ability to hedge Class I milk. However, Class I processors have generally not increased their use of hedging, said the witness, while dairy producers have taken on additional risk by giving up a higher Class I price. The witness stated one reason they believe their customers do not utilize hedging is because of fear of incurring a price disadvantage compared to their competitor. The witness added that of the Prairie Farms dairy farmer members engaged in risk management, there has been a decrease in the use of forward contracting since the implementation of the average-of mover because of negative PPDs, as they create a negative basis dairy producers are unable to account for in their risk management decisions. The witness presented data showing negative PPDs have become larger and more frequent under the average-of mover, which has increased the volume of depooled milk and significantly reduced revenue to farmers. Another NMPF witness representing Upstate Niagara Cooperative (Upstate Niagara) testified the average-of mover has not operated as intended, has negatively impacted producer revenue, and has exacerbated disorderly conditions. Upstate Niagara is a dairy farmer-owned cooperative marketing the milk of approximately 250 members and operating eight fluid processing and manufacturing plants in New York and Pennsylvania. According to the witness, under the average-of mover, producers pooled on FMMOs with higher Class I utilization were most severely impacted due to the depressed Class I milk prices and no ability to benefit from the higher VerDate Sep<11>2014 19:40 Jul 12, 2024 Jkt 262001 priced manufacturing milk. Similar to other witnesses, the Upstate Niagara witness described the asymmetric price risk of the average-of mover. From interactions with fluid milk customers, the Upstate Niagara witness said there is widespread acceptance of prices based on FMMO monthly price announcements by their conventional customers. The witness said conventional customers have been less interested in pursuing a fixed price if there was any chance it could result in a competitive disadvantage in any given month. The witness recognized there may be some processors or end users in specialized Class I product channels that may utilize hedging but contended it is a relatively small portion of total Class I sales. A University of Missouri professor testifying on behalf of NMPF presented results of an analysis conducted to evaluate the impact of adopting Proposal 13. The witness testified, under the higher-of mover, Class I prices would increase every year between $0.32 and $0.50 per cwt; the Class II price would be between $0.08 and $0.12 per cwt less annually; the Class III price would be between $0.06 and $0.13 per cwt less annually; the Class IV price would be between $0.08 and $0.12 per cwt less annually; and the all-milk price would be between $0.01 or $0.02 per cwt higher annually, except for a more significant increase of $0.06 per cwt in the first year. The witness said the model forecasted the effect on the allmilk price to moderate over time as production expands. Twenty dairy farmers testified in support of Proposal 13. Many dairy farmers testified blend prices have been lower and their milk prices have been reduced since the average-of mover was implemented. They said only when Class III and Class IV prices are within a narrow range of each other is the average-of mover equal to or outperforming the higher-of mover. The witnesses said their experience supports NMPF’s assertion that farmers’ milk prices have been reduced by $950 million, and the reduction is not just a COVID-era anomaly. Dairy farmer witnesses said the losses demonstrate the goal of revenue neutrality with the change to the average-of has not been achieved. One witness asserted that in 29 of the 52 months since the averageof was adopted, Class I prices averaged $1.30 per cwt less than what the price would have been under the higher-of mover. In comparison, said the witness, in the remaining 23 of the 52 months the average-of returned a price only $0.42 higher per cwt. The witnesses testified to near-universal support by PO 00000 Frm 00021 Fmt 4701 Sfmt 4702 57599 dairy farmers for a return to either the higher-of or, under the average-of, a mechanism to be equal to the higher-of over a period of time, such as 24 months. Several dairy farmers urged a return to the higher-of mover, claiming a need for financial relief as dramatic shifts in milk markets since implementation of the average-of mover have caused significant financial losses to dairy farmers. Dairy farmers reiterated the average-of mover change affects 100 percent of pooled producer milk while it is unlikely fluid milk processors are covering 100 percent of their products with risk management tools. A dairy farmer testified they were assured the change to the average-of would be net neutral or net positive, but it has not been. Many dairy farmer witnesses described losses to dairy farmers under the average-of compared to what the Class I mover would have been under the higher-of and testified to receiving lower blend prices. The dairy farmers were concerned about receiving a delayed value of milk from a Class I mover with a rolling average methodology because they believe they cannot afford to wait months or years for the added revenue. They testified restoring the higher-of mover through adoption of Proposal 13 would help to reduce the volatility in monthly milk prices, bringing more stability and predictability to farmer income. Dairy farmers of all sizes testified to relying on risk-management tools, such as Dairy Margin Coverage (DMC), Dairy Revenue Protection (DRP), and CME futures and options markets because it is difficult to manage their farms through periods of significant price volatility. Dairy farmers’ testimonies described a range of contract periods, anywhere from 3–18 months, depending on the individual farmers’ riskmanagement strategy and risk tolerance. In its post-hearing brief, NMPF reiterated hearing testimony arguing the average-of mover does not meet the standards set forth in Order Reform, and the change has not been revenue neutral as originally assumed. NMPF restated that under the average-of mover, price inversions, volatility, and depooling have increased, and Class I prices have been less effective at incenting milk to fluid processors relative to manufacturing. NMPF reiterated the asymmetrical risk borne by dairy farmers with the average-of mover and the frequency of which the difference between Class III and IV prices exceeded $1.48 per cwt, effectuating that risk. NMPF reiterated the average-of mover failed to send appropriate market E:\FR\FM\15JYP3.SGM 15JYP3 ddrumheller on DSK120RN23PROD with PROPOSALS3 57600 Federal Register / Vol. 89, No. 135 / Monday, July 15, 2024 / Proposed Rules signals to participants because the fixed adjuster could not maintain the maximum monthly separation between the advanced Class I and the manufacturing class prices. NMPF wrote this increased the likelihood manufacturing classes would have a higher value than milk used in Class I and resulted in increased volumes of depooled milk. Under the higher-of mover on the other hand, NMPF argued, when a particular manufacturing class price is rising, the Class I price also rises and tends to maintain Class I as the highest priced class. To dampen the effect volatility in the manufacturing classes has on Class I, the highest priced manufacturing class should provide the foundation for ensuring the Class I price remains above the manufacturing classes almost every month, reducing the incentive to depool, which is disorderly. The demand for Class I hedging is not clear, NMPF asserted in its brief, and no evidence was presented to suggest more than a small minority of the overall fluid market utilizes hedging, especially beyond ESL handlers. NMPF argued in its brief that while facilitating risk management for fluid processors may have merit, it is not an objective of FMMOs. In regulating processors, the AMAA only considers price uniformity to processors, NMPF asserted. Finally, NMPF restated in its brief the widespread support of producers for a return to the higher-of mover. The Dairy Cooperative Marketing Association, Inc. (DCMA), a CapperVolstead Marketing Agency in Common with nine cooperative members in the southeastern U.S., submitted a posthearing brief in support of Proposal 13. In its brief, DCMA argued the change to the average-of mover has not been revenue neutral to dairy farmers, nor provided benefits to the industry as originally intended. According to DCMA, the hearing record demonstrates that little Class I hedging occurs, especially on HTST milk, and includes no evidence that the use of hedging is more prevalent now than prior to the change. DCMA stated most testimony demonstrated HTST milk is sold based on FMMO announced prices each month plus a fixed margin. Because revenue on packaged milk sales flows back to the processor in step with the monthly changes in the FMMO announced prices, there is no price risk to the Class I processor under this system, according to DCMA. In its brief, DCMA described the pronounced losses in the southeastern region as a result of the change to the average-of mover. The MDC submitted a post-hearing brief in support of Proposal 13, VerDate Sep<11>2014 19:40 Jul 12, 2024 Jkt 262001 expressing the importance of making the changes as part of the FMMO reform process underway. MDC conveyed in its brief the importance of ensuring all reforms are considered in concert since all changes have ripple effects throughout the entire system and across all classes of milk. In its post-hearing brief in support of Proposal 13, Select reiterated the proposal would support the priorities expressed by the Department in Order Reform, the rationales of which remain true today. Select cited billions of dollars lost to producers, an increase in depooling, and a lack of Class I handlers hedging their milk costs as reasons the average-of has failed. In both witness testimony and briefs, IDFA and MIG strongly opposed a return to a higher-of mover. A majority of their opposition was contained in supporting testimony and evidence for Proposals 14 and 15, as detailed below. A witness representing IDFA testified in support of Proposal 14. The witness said the goal of Proposal 14 is to keep producer Class I revenue consistent with what would be experienced under the previous higher-of mover, while allowing for effective and affordable Class I risk-management strategies. The IDFA witness claimed that in the long-run, the proposed Class I mover would never fall below what the Class I skim milk price would have been under the higher-of mover. According to the witness, Proposal 14 would have paid more than the higher-of mover in 13 of the past 21 years. The witness asserted dairy farmers are ‘‘made whole’’ as compared to the higher-of mover over time through the annual adjuster calculation. The witness presented data from 2003 through 2019 showing Proposal 14 would have yielded a Class I price $0.08 greater than the higher-of mover. For 2004 through 2023, the witness said Proposal 14 would have yielded a Class I price $0.05 higher, due to the $0.74 floor. The IDFA witness entered data and analysis to show the volume of milk not pooled would be slightly less under Proposal 14 than Proposal 13, and the Class I price would be lower than Class III or Class IV prices in nearly the same number of months under both proposals. The IDFA witness presented an analysis showing Proposal 14 would have reduced price volatility with the only exception of very high cheese prices in 2020. According to the witness, volatility equates to greater price risk, which increases hedging costs, and ultimately higher consumer prices. The IDFA witness countered claims the higher-of mover sends important PO 00000 Frm 00022 Fmt 4701 Sfmt 4702 price signals to dairy farmers through the Class I price, instead claiming the blend price sends more important price signals because it is the price farmers receive. The witness alleged there is little difference between signals sent by the blend price under Proposals 13 and 14, arguing that from 2012 to 2022, Proposal 13 would average 31.9 percent of the Class I value in the blend price while Proposal 14 would average 31.8 percent. As the impact on the blend prices is very similar, over time there is little difference in price signals between the proposals, the witness said. Regarding the delay incorporated by the rolling adjuster and farmers possibly not receiving the make-up payments, the IDFA witness noted farmers go out of business for many reasons, and some may go into the business or expand and benefit from higher payments. The witness said this issue is no different than handlers going out of business before the make allowances are raised. The IDFA witness testified hedging is a critical tool for the subset of innovation and value-added milk manufacturers to remain competitive with alternative beverages. In the few growing segments of the milk market, especially ESL and higher value-added products, retailers are demanding processors provide long-term fixed price contracts, rather than contracts with fluctuating monthly prices, the witness said. Since processors cannot enter into a fixed purchase price for raw milk with their milk suppliers, hedging allows processors to take on the risk of entering into a fixed sales price for its finished products and cover the risk of raw milk prices rising during the contract period, the witness testified. The IDFA witness noted several ESL processors formed and quickly implemented risk management plans in anticipation of the change to the average-of mover. The witness noted ESL processors are interested in hedging because of the longer product shelf-life. According to the witness, a risk management plan allows a processor to level out what could otherwise be very different costs of milk products that could have been produced at significantly different times but are being sold to the customer at the same point in time. The witness noted more hedging of HTST products is done by end users, such as foodservice customers, not processors. The witness testified that while risk management is not a stated objective of the AMAA, a stable price, promotion, and growth of the sale of milk are, and the ability to use risk management tools results in stable prices and increased sales. E:\FR\FM\15JYP3.SGM 15JYP3 ddrumheller on DSK120RN23PROD with PROPOSALS3 Federal Register / Vol. 89, No. 135 / Monday, July 15, 2024 / Proposed Rules The witness testified IDFA would support a rolling average longer or shorter than 24 months, but the 12month implementation lag is essential to allow for hedging. The witness testified Proposal 14 calculates the adjuster from August through July because long term Class I sales contracts between processors and retailers are often negotiated and entered into during the final months of the calendar year. To allow for effective hedging for those contracts, Class I processors would need to know at the time of the contract negotiations what the adjuster would be for the next calendar year. The witness supported Proposal 15 as an acceptable alternative to Proposal 14. A dairy processor witness representing Schreiber Foods (Schreiber) testified in support of Proposal 14 or 15. Schreiber is a fluid milk processor primarily manufacturing Class II and Class III products, with approximately 5 percent of their products sold as ESL Class I products. The witness testified that over the past 20 years risk management has become a necessary tool for companies with exposure to dairy market volatility. The witness said that only since the change to the average-of mover in 2019 have milk processors had a viable way to manage risk. The witness testified that, in response to requests from foodservice and retail customers to manage Class I costs, Schreiber has offered Class I forward contracts since 2019. Prior to 2019, the witness said creating an effective hedge for Class I milk was challenging as it was unknown whether Class III or Class IV would be the mover. The witness stressed the change to the average-of allows purchasers to use a combination of Class III and Class IV hedge positions, which gives everyone in the supply chain the ability to control their market risk in a way that was not previously possible under the higher-of. According to the witness, Schreiber hedges price risk for its ESL production through a combination of Class III and IV futures and swaps, and Class I swaps, which typically go out 12 to 18 months. Under Proposal 14, the witness explained, market participants will know the fixed adjuster in advance of the calendar year in order to conduct their hedging analyses for the coming year. If the Class I mover were to revert to the higher-of, the witness testified they would have to either find a different way to hedge or cease offering forward contracts on their ESL products. A witness representing Nestlé USA (Nestlé) testified in support of Proposal 14. Nestlé is a fluid milk processor operating one plant regulated by the FMMO system. Nestlé procures milk VerDate Sep<11>2014 19:40 Jul 12, 2024 Jkt 262001 from cooperatives using contract agreements, the witness testified, and offers its customers an annual fixed price contract for their primary Class I product, an ESL product. The witness stressed the importance of hedging to manage risk and compete in the market against nondairy beverages. The witness stated Nestlé did not use hedging for Class I under the higher-of mover because not knowing which class price would be higher caused uncertainty. The witness testified Nestlé currently hedges all its Class I milk purchases using Classes III and IV futures contracts, and while they have an 18month outlook they typically hedge Class I milk 6 months out. If USDA returns to the higher-of mover, the witness testified, Nestlé would not be able to continue hedging its Class I milk. The witness testified price volatility has specific impacts on ESL products, as it is challenging for retailers to set different prices due to monthly milk price fluctuations for two identical products sold at the same time but produced in different months. A witness representing Lamers testified in support of Proposals 14 and 15 stating those proposals would help smooth out the volatility in the pricing of Class III and Class IV. In its post-hearing brief, IDFA reiterated the importance of hedging to processors for managing price risk and volatility and claimed effective hedging could only be achieved with an averageof mover. IDFA noted that when price uncertainty does not allow fluid milk processors to manage risk 6 to 12 months out, they risk losing shelf space to plant-based and other alternative beverage products that can offer fixed prices. IDFA argued that the choice for a fluid milk processor, especially with respect to ESL products, higher valueadded products, and foodservice, is increasingly between offering stable pricing and long-term contracts demanded by customers or losing shelf space to competing beverages. Pricing stability and long-term contracting are facilitated by hedging, according to IDFA. IDFA stressed the growing need for Class I hedging because of increased volatility between the manufacturing classes. In response to criticism of Proposal 14, IDFA wrote the average-of mover does not create price inversions or lead to milk not being pooled, arguing depooling occurs because of the price relationships between classes, and is caused by negative PPDs and pooling requirements. IDFA also wrote that the average-of mover does not increase price volatility, unlike a higher-of mover which routinely and unpredictably PO 00000 Frm 00023 Fmt 4701 Sfmt 4702 57601 switches between Class III and Class IV. Finally, IDFA asserted the value of Class I products is not necessarily related to the value of Class III or IV products, thus, the higher-of does not better reflect the value of milk than the average-of mover. NAJ submitted a post-hearing brief in support of Proposal 14, arguing it better protects long-term producer milk revenue, provides less Class I price volatility, and preserves equitable riskmanagement opportunities for Class I handlers who are required to participate in the FMMO system. NAJ noted the perception a return to the higher-of mover would produce higher producer Class I revenues is based on highly divergent Class III and IV price movers and an expectation this will continue in the future. However, NAJ argued in its brief this price divergence analysis does not account for composition factor amendments nor potential Class I differential amendments. With revised composition factors, NAJ asserted, a restored manufacturing to Class I price spread would mitigate price inversion and depooling. A MIG witness testified in support of Proposal 15 seeking to amend the average-of mover from a $0.74 adjuster to a rolling 24-month adjuster with a 12month lag. The witness claimed the movers contained in Proposals 14 and 15 provide similar base Class I skim milk prices and have similar effects on producer prices. The witness explained in certain years Proposal 15 would return more money to farmers than the higher-of, and even if farmers do not experience the benefits of a high manufacturing price immediately, they will over time through the lagged adjuster. The witness presented data comparing the monthly average base Class I skim milk price calculated under the current mover, the higher-of mover, and Proposal 15 from 2003 to 2022 to show Proposal 15 would be revenue neutral in the long run. The MIG witness testified Proposal 15 preserves risk-management opportunities for both producers and Class I processors, which is part of orderly marketing. The ability to hedge Class I milk became effective in 2019, followed by the pandemic and regulatory uncertainty as to whether the average-of would remain, and time, resources, and lack of knowledge slowed the adoption of Class I riskmanagement strategies, the witness testified. Five MIG member witnesses representing fairlife, HP Hood, Turner Dairy, Shehadey, and Crystal Creamery testified on the importance of hedging Class I milk. The fairlife and HP Hood E:\FR\FM\15JYP3.SGM 15JYP3 ddrumheller on DSK120RN23PROD with PROPOSALS3 57602 Federal Register / Vol. 89, No. 135 / Monday, July 15, 2024 / Proposed Rules witnesses said they primarily process ESL products, which they hedge using CME Class III and IV component and commodity futures. The HP Hood witness stated they do not hedge HTST milk because it is primarily sold through direct store delivery where the standard business practice is monthly pricing. However, ESL products are distributed primarily through grocery warehouses and buyers expect 60 to 90 days’ notice for any price changes, the witness said. The HP Hood witness stated the ability to hedge has not changed their ESL pricing strategy but has allowed for fewer price increases. In earlier testimony a witness representing Shamrock, also a MIG member, said they manufacture both HTST and ESL products and hedge milk used in their ESL products. A processor witness representing Shehadey testified contracts with retailers such as grocery stores use a fixed formula that changes monthly, quarterly, or semi-annually, and are based on FMMO prices. The witness testified Shehadey has only HTST Class I milk products and they do not use any form of risk-management tools to hedge their risk. The Turner Dairy and Crystal Creamery witnesses said their companies primarily process HTST Class I milk products which they currently do not hedge. Both witnesses expressed value in hedging HTST milk sold to foodservice, as foodservice customers prefer to know prices months to years in advance. The fairlife and HP Hood witnesses testified hedging under the higher-of mover was difficult due to price volatility and uncertainty, but the average-of mover allows them to offset the risk. The witnesses also testified it takes time to develop a robust hedging program. The HP Hood witness stated Class I hedging is primarily used by more sophisticated operators, but as Class I hedging becomes more accepted, the market should become more liquid, and more processors will likely use this risk-management tool. The fairlife witness said fairlife typically hedges its ESL Class I products, mainly 0 to 6 months out, but contracts could extend up to 12 months. A MIG witness explained that the adoption of Proposal 15 would allow for less price volatility throughout the market and support industry growth by stabilizing the cost of milk for retailers and consumers. Hedging, the witness said, is important to offering customers and consumers a more stable price, which could stem the declines in fluid milk as fluid milk competes with many beverages in the market. The fairlife witness testified that price certainty translates to price stability for both the VerDate Sep<11>2014 19:40 Jul 12, 2024 Jkt 262001 retailer and the consumer. The HP Hood witness testified the goal of hedging is not to make a higher return, but instead to act as price risk insurance by removing some input price volatility and increasing margin certainty for endproduct sales. The Turner Dairy witness testified the average-of mover results in more price stability which is beneficial to the Class I market. The witness said under the higher-of formula, the Class I price went up with every spike in butter, cheese, or powder markets, even though short-term changes in those product prices have no direct effect on the actual Class I market. The witness argued the price spikes necessitated raising prices to cover cost, without a market-based explanation to provide to customers. The MIG and fairlife witnesses testified in support of the 12-month lagged adjuster contained in Proposal 15, stating it is critical to allow Class I processors to mitigate risk and hedge successfully. Knowing the adjuster 12 months in advance allows companies who hedge to reduce or eliminate basis risk, the witness said, while the 24month rolling adjuster updates and provides dynamic market signals. The witnesses said Proposal 15 would stabilize prices by moving gradually and make fluid milk products a more reliable and steady purchase for customers. Proposal 15 has no floor or ceiling, as the witness testified MIG members believe floors and ceilings can create price distortions. The witnesses testified a lookback of less than 24 months would create more volatility, while a longer lookback does not transfer market signals well over time. The fairlife witness testified the 12month lag is necessary to be able to buy futures 12 months out. The 24-month rolling average adjuster allows the system to recognize the difference between Class III and Class IV prices and what the higher-of mover would have been, the witness said, allowing the industry to know definitively what the premium structure is going to look like associated with the adjuster 12 months into the future. In its post-hearing brief in support of Proposal 15, MIG argued USDA should first assess whether the current averageof formula has resulted in disorderly marketing. MIG wrote the current average-of mover ensures the market has sufficient milk for both fluid and manufacturing uses and there is not disorderly competition for fluid market access. MIG argued a return to the higher-of under Proposal 13 would not provide higher returns to farmers, estimating a minimal impact of a $0.01 to $0.02 per cwt increase in the long PO 00000 Frm 00024 Fmt 4701 Sfmt 4702 term. However, MIG argued in its brief, the return to the higher-of mover would have significant negative impacts on the Class I market and the entire dairy industry. There is no asymmetrical risk inherent in Proposal 15, MIG argued in its brief, unlike the present average-of mover formula. According to MIG, the use of risk management developed primarily after the average-of formula was adopted and is likely to grow in the future. MIG stated Class I processors do currently use risk-management tools to hedge ESL products, as this sector has historically utilized more fixed pricing, meaning hedging can be more easily adopted. MIG stated many HTST customers, such as grocery stores, have become accustomed to the monthly fluctuations of pass-through pricing, but HTST customers, such as school lunch programs or USDA feeding programs, would benefit from the increased price certainty that comes with an average-of calculated mover. The industry has not yet had time to widely adopt risk management, MIG reiterated in its brief, and regulatory uncertainty due to this proceeding has caused processors to hesitate further use of risk-management tools. MIG noted in its brief that even though the AMAA does not specifically provide for hedging, a Class I formula that supports hedging helps serve the enumerated purpose of the AMAA of avoiding unreasonable price fluctuations and reducing milk price volatility. When Class I processors can better manage risk, they can offer more stable prices to customers and consumers, MIG argued in its brief. In its brief, MIG reiterated hearing testimony that use of an average-of mover best ensures an orderly market, and sufficient supply of milk for fluid use, including the most accurate pricing signals for dairy farmers in a longer, and more appropriate, time. MIG took exception to arguments that the Class I price be used to address price inversions and depooling. Using a California pool example, MIG argued that record evidence shows the Department would have to increase the Class I price an impractical amount to incentivize both manufacturing classes to remain pooled. MIG reiterated many factors cause depooling and negative PPDs, and neither the Class I price nor use of an average-of mover drive those results. Rather, according to MIG, the main drivers of depooling in the months reviewed in testimony were the Class III/IV spread and advanced pricing. In its brief, MIG argued a return to the higher-of mover will not help Class I handlers in competing for milk supply E:\FR\FM\15JYP3.SGM 15JYP3 ddrumheller on DSK120RN23PROD with PROPOSALS3 Federal Register / Vol. 89, No. 135 / Monday, July 15, 2024 / Proposed Rules as a higher pool obligation detracts from the incentive to service Class I plants. MIG reiterated hearing testimony that the current marketplace is sufficiently served using an average-of formula. Lamers submitted a post-hearing brief in support of retaining an average-of mover. Lamers argued that because of the small percentage of Class IV use in the market, Class IV prices should not be a main driver for setting the Class I price, as an average-of mover is more representative of the entire manufacturing market. Lamers preferred the lower of the Class III and IV prices should be used when setting the mover as they believe the higher-of artificially raises Class I prices to consumers. NMPF presented numerous witnesses who testified in opposition to the continuation of the average-of mover, embedded in the summary of their testimony and post-hearing brief presented above. An SMI witness opposed a modified average-of mover, testifying it would result in revenue losses to dairy farmers because the Class I price is paid back to dairy farmers over time and would not compensate dairy farmers that have exited the business. Select expressed opposition to Proposals 14, 15, and 16 in its posthearing brief. Select wrote that the higher-of more accurately reflects the value of milk in manufacturing classes, better manages shifts in demand for any one manufactured product, helps reduce milk price volatility, better addresses class price inversions and depooling, and makes it more difficult to draw milk away from Class I uses for manufacturing. Select noted most Class I handlers have not engaged in milk hedging under the average-of mover, and the average-of mover creates and exacerbates opportunistic depooling when Class III and IV prices diverge significantly. Select opined the averageof mover results in market disorder which they believe would continue until the higher-of mover is restored. In its post-hearing brief, the AFBF opposed Proposals 14 and 15, arguing they do not address the key issue of class price misalignment. The AFBF believes handlers of all sizes can find alternative methods of managing risk under a higher-of mover. A witness representing Edge testified in support of Proposals 16 and 17. The witness advocated for the adoption of Proposal 16, referred to as a Class III plus proposal, because the Class III price is typically higher than the Class IV milk price. In times of rapidly declining dairy prices brought on by a decrease in demand, the witness said, government recovery efforts typically prioritize more perishable products, VerDate Sep<11>2014 19:40 Jul 12, 2024 Jkt 262001 usually Class III. The witness said this would result in higher Class III prices in relation to Class IV, and consequently a base Class I skim price under Proposal 16 approximately equal to the higher-of mover. According to the witness, in situations where the Class IV skim milk price is higher than the Class III skim milk price, any lost revenue would be redistributed to producers over the next three years through the adjuster and would better support dairy farmers during years of lower profitability. The witness testified risk management under Proposal 16 is easy to implement and less expensive due to high liquidity of Class III milk futures, creating more predictable prices and making fluid milk products competitive with plantbased beverages. The witness testified Edge would support a monthly rolling adjuster in place of an annual adjuster. The Edge witness testified that as Class I utilization rates continue to fall, advanced pricing would continue to cause disorderly marketing conditions such as opportunistic depooling. The witness said advanced prices are antiquated and anti-competitive and their elimination would encourage fluid plants to use risk management. The Edge witness entered data showing the contribution of various factors to negative PPDs. The witness testified that while the change to the average-of mover tended to make PPDs more negative, advanced prices and the spread between Class III and IV influenced pooling decisions, not the adoption of the average-of mover. The witness testified that if the Class I price was announced at the same time as the Class III and Class IV prices, it would prevent a for-profit Class I trading relationship between Class III and Class IV, and the CME group would be more likely to create a Class I futures contract. The witness expressed a strong preference for Proposal 16, which they argue balances producer, processor, and consumer needs and supports risk management which they said was critical for the success of the nation’s dairy farmers, particularly fluid sector innovators. The Edge witness also testified in support of Proposal 17, returning to the higher-of mover without advanced pricing. The witness said the proposal would allow the Class I futures price to be equal to the greater of the Class III futures price and the Class IV futures price. Risk management players would have minimal risk in providing liquidity to Class I hedgers by spreading their position between Class I and the higherof Class III or IV futures. The witness testified dairy producers may prefer the higher-of mover without advanced PO 00000 Frm 00025 Fmt 4701 Sfmt 4702 57603 pricing, such as Proposal 17, as it provides real-time maximum income for Class I milk, whereas Proposal 16 is more of a compromise. The Edge witness stated that since 2010, total fluid milk sales have been steadily declining, adding more instability and difficulties hedging under the higher-of mover. The witness entered data showing how much more risk and costs were involved to hedge under the higher-of mover than the average-of mover. The witness concluded a person hedging with futures contracts under the higher-of mover would have significant difficulties, but hedging under the average-of mover meets effectiveness standards required for hedge accounting. Nine dairy farmer witnesses, located in Wisconsin, Minnesota, Iowa, and South Dakota, testified in support of Proposals 16 and 17. The dairy farmers opined Proposals 16 and 17 would decrease the frequency of negative PPDs and depooling, and enhance their ability to manage price risk through hedging and other risk-management programs. One witness said using only the Class III skim price to set the Class I skim price is the best option because Class III milk futures carry more liquidity than Class IV and better represent Class I prices. The witnesses testified Proposal 16 would help keep prices steady, benefitting both plants and customers. In its post-hearing brief, Edge objected to what it believes are goals of some proponents to maximize FMMO Class I handler obligations in order for the additional revenue to be used to offset the negative producer impact of increasing make allowances. Edge argued the Department should consider the following factors in its decision: there have not been any significant shortages in the supply of beverage milk to retail stores; Congress’ reason for changing to the average-of mover to facilitate risk management by fluid milk processors which fluid milk processors testified is still relevant; advanced pricing is outdated and no longer necessary to facilitate supply chain coordination but instead facilitates opportunistic depooling; a mover resulting in the highest fluid milk price when the Class IV price substantially exceeds Class III is not in the best interest of consumers; and a mover resulting in the highest fluid milk price when the Class IV price substantially exceeds Class III is not in the best interest of all dairy farmers. Edge argued dairy farmers located where Class I utilization is low may be worse off under a higher-of mover than an E:\FR\FM\15JYP3.SGM 15JYP3 ddrumheller on DSK120RN23PROD with PROPOSALS3 57604 Federal Register / Vol. 89, No. 135 / Monday, July 15, 2024 / Proposed Rules average-of or Class III-based pricing as proposed by Edge. Edge reiterated Proposal 16 would facilitate risk management by fluid milk manufacturers and large commercial buyers, eliminate outdated advanced pricing and reduce the incidence and magnitude of opportunistic depooling, and best serve both producer and consumer interests. A witness representing the AFBF testified in support of Proposal 18. The witness said the AFBF believes orderly pooling is the key to orderly marketing, and this is best accomplished by the proper alignment of the four class prices. The witness claimed advanced Class I pricing leads to increased Class III component values, a common factor contributing to negative PPDs. The witness said advanced prices reflect market conditions that are 25 to 40 days older than final prices, which are announced after the close of the month. When a market rally occurs between the announcement of advanced and final prices, the witness said it leads to low or negative PPDs and creates incentives for handlers to depool milk. The witness stated depooling results in elevated component prices not being shared with the pool, further depressing the PPD and undermining the FMMO principle of uniform producer prices. The witness testified advanced pricing may also cause price inversions when manufacturing prices are rising rapidly, making it difficult for Class I handlers to attract adequate milk supplies. The witness entered data showing the effects of advanced pricing on class price alignment from May 2019 to May 2023 under the current average-of, and under Proposals 13, 17, and 18. The witness said this data showed many months under the current average-of mover and Proposal 13 in which the manufacturing class prices exceeded the Class I price, testifying this created disorderly marketing conditions. On the other hand, according to the witness, the data showed elimination of advanced pricing under Proposals 17 and 18 resulted in more consistent alignment of class prices. The AFBF witness testified the frequency of published commodity data allows handlers to estimate price changes regardless of when prices are announced, and as more products are available on the CME or other exchanges, processors and manufacturers will have information needed to hedge and manage risk. The witness opined that the elimination of advanced pricing would allow for the introduction of Class III and IV spread options, providing an additional way to hedge Class I milk when both are used VerDate Sep<11>2014 19:40 Jul 12, 2024 Jkt 262001 in combination. Three dairy farmers testified in support of Proposal 18, stating the proposal would reduce the incentive to depool brought on by low and negative PPDs. The AFBF witness also testified that while they support the elimination of advanced pricing, they oppose Proposal 16 because it would delink Class I prices from Class IV prices, which they anticipate being higher than Class III in the future due to better export markets. The witness said tying the Class I price to only the Class III price could operate more like a ‘‘lower-of’’ formula. The witness stated the AFBF supports Proposal 17 because it is identical to Proposal 18 if combined with Proposal 13. In its post-hearing brief, the AFBF reiterated its support for a return to the higher-of mover, which it argued would support class price alignment and substantially decrease negative PPDs and depooling. The AFBF reiterated its hearing testimony that volatility has and continues to increase, contributing to price inversions and rapidly changing markets, resulting in competitive inequalities among dairy farmers. The AFBF said the CME has indicated a willingness to provide contracts catering to industry demand, and the fact that the industry is used to advanced pricing should not be a driving reason for its retention. The AFBF argued disorderly marketing conditions are present when producers do not receive uniform prices because of frequent depooling, and its proposals lead to the realignment of class prices, which encourage consistent pooling and uniform pricing. An SMI witness, appearing on behalf of NMPF, testified in opposition to elimination of advanced pricing as contained in Proposals 16, 17, and 18. The witness said 90 percent of packaged fluid milk is highly perishable HTST milk which is processed, packaged, distributed, and sold in a relatively short period. The witness said these marketing characteristics require the price of the product to be known at the time of purchase, which advanced pricing of Class I milk provides. According to the witness, most HTST packaged fluid milk is priced monthly by fluid processors to their customers based on monthly FMMO Class I prices. This is materially different from cheese and butter products, the witness said, the prices of which are typically based on CME daily cash prices. According to the witness, advanced pricing enables retailers to set store milk prices at the beginning of a month, allowing the fluid processor to know the price the plant would receive for the packaged fluid PO 00000 Frm 00026 Fmt 4701 Sfmt 4702 milk prior to the raw milk being processed, packaged, and sold. The SMI witness also testified that if advanced pricing was eliminated, retailers would not know their fluid milk costs until the end of the month when FMMO Class I prices are announced. This would mean most fluid milk purchased by retailers would be sold during the month without knowing its minimum regulated price which, the witness said, from a retailer’s perspective is not orderly marketing. The witness claimed that if there were significant month-to-month increases in the Class I price, retailers could seek price relief from the processor, and ultimately, cooperative suppliers, opening the potential for fluid milk processors in the same marketing area to have inequitable raw milk costs and non-uniform payments to producers. In its post-hearing brief, NMPF reiterated its opposition to the elimination of advanced pricing. A witness representing IDFA opposed Proposals 16, 17 and 18. The witness objected to the elimination of advanced pricing as it would result in Class I handlers pricing milk products to their customer before knowing the minimum regulated milk price and impact a handler’s ability to hedge. In its posthearing brief, IDFA supported the feature of Proposal 16 that would create a predictable Class I price that could be hedged based off a hedged Class III price plus a known adjuster. However, IDFA maintained its opposition to the elimination of advanced pricing, arguing it is essential for non-hedging Class I handlers to know their milk cost before the start of the month. It is also an important part of planning for fluid milk retail customers to market milk, IDFA stated. IDFA noted in its brief that traditional fluid milk retail customers are not yet using hedging sufficiently to permit a regulatory change eliminating advanced pricing. IDFA reiterated their total opposition to Proposals 17 and 18 in that they would return to a higher-of mover and, according to the brief, eliminate any practical ability to hedge. A MIG witness testified in opposition to eliminating advanced pricing. The witness said the industry is not yet using hedging sufficiently to permit this regulatory change, as advanced pricing remains critical for the dominant share of the fluid market as retailers expect to know the price in advance. The witness also opposed Proposal 16, which would price Class I milk solely off the Class III price. The witness said the proposal would delink the fluid milk supply and demand from Class IV which MIG believes is critical for balancing. The witness opposed Proposals 17 and 18 as E:\FR\FM\15JYP3.SGM 15JYP3 ddrumheller on DSK120RN23PROD with PROPOSALS3 Federal Register / Vol. 89, No. 135 / Monday, July 15, 2024 / Proposed Rules they limit risk-management opportunities for Class I processors. In its post-hearing brief, MIG reiterated its opposition to any proposal (Proposals 16, 17, and 18) seeking to eliminate advanced pricing, which MIG claimed is critical to Class I processors. MIG further argued that eliminating advanced pricing would negatively impact those market segments. With respect to Proposal 16, MIG expressed concern with pricing Class I milk solely off Class III prices as it would be a significant departure from the current practice and completely divorce fluid milk supply and demand from the Class IV market. According to MIG, the record contains testimony from cooperatives that Class IV remains the ultimate balancing utilization. In testimony and in its post-hearing brief, MIG opposed a return to the higher-of mover under Proposals 13, 17, and 18 as it would severely limit riskmanagement opportunities. MIG argued in its brief that a return to the higherof is unnecessary and not supported by the facts as the industry has acknowledged the higher-of does not work. Dairy farmers’ concerns are not about the average-of, MIG asserted, but rather the fixed $0.74 addition. USDA should support moving the industry forward, not revert to an outdated policy because it is familiar, MIG stated. MIG argued NMPF introduced no evidence the average-of mover hinders a sufficient supply of milk for fluid uses. Rather, MIG wrote, a return to the higher-of mover would result in disorderly marketing as larger spreads between Classes III and IV would lead to higher prices under the higher-of mover and raise the uniform price, incentivizing the lower-priced manufacturing milk to remain pooled. In that situation, MIG argued, FMMOs should not be raising the uniform price paid out to the lower-priced manufacturing class, thus, encouraging it to remain pooled. This compensation, argued MIG, overvalues the lowerpriced manufacturing milk in the marketplace and incentivizes milk to move to the lower manufacturing class instead of to a higher performing class. According to MIG, the average-of mover would better move milk between the manufacturing classes as the market needs. MIG argued the FMMOs are designed to ensure processors have sufficient milk supplies for fluid use, but FMMOs should not be drawing milk away from Class III or IV when a manufacturing use would be the highest and best value for the milk. According to MIG, Class I does not need more milk, and FMMOs should not be disrupting the market to pull milk for fluid VerDate Sep<11>2014 19:40 Jul 12, 2024 Jkt 262001 utilization. MIG argued in its brief that revenue neutrality is not a valid policy consideration without evidence to establish revenue neutrality is necessary to ensure a sufficient supply of fluid milk. A witness representing Lamers testified in opposition to the elimination of advanced pricing in Proposals 16, 17, and 18. The witness stated Class I handlers need to know prices in advance so they can set wholesale pricing with their retail customers. In its post-hearing brief, Select opposed the elimination of advanced pricing set forth in Proposals 17 and 18, arguing that testimony at the hearing made clear that the majority of producers prefer using the higher-of, and the majority of handlers prefer to maintain advanced pricing which Select believes is in the best interest of stability in the Class I market. Class I and Class II Differentials Numerous witnesses appeared on behalf of NMPF testifying in support of increasing the Class I differentials as provided for in Proposal 19. Witness testimony centered around the themes of increased hauling costs, changes in milk supply and demand locations, changes in supply patterns resulting in longer hauls, and insufficient over-order premiums to cover the full cost of servicing the Class I market. The witnesses said the outdated assumptions embedded in the current Class I differentials threaten the willingness of milk suppliers to serve the Class I market. An NMPF witness argued current differentials are antiquated, since, other than the three southeast FMMOs, they have not been updated in almost 25 years. In that time, they said, fuel costs and hauling distances have increased due to changes in supply and demand locations. The witness stressed overorder premiums should not be considered an effective substitute for FMMO prices because they are very difficult to obtain and maintain at levels adequate to cover the cost of servicing the Class I market. The witness argued inadequate Class I differentials contribute to price inversions and incentives to depool, which further jeopardize the availability of milk to meet Class I demand. The NMPF witness described the methodology used to arrive at the proposed differential levels. According to the witness, NMPF requested an update of the U.S. Dairy Sector Simulator Model (USDSS) which was used during Order Reform as a basis for the differential levels adopted January 1, 2000. PO 00000 Frm 00027 Fmt 4701 Sfmt 4702 57605 The USDSS model owners testified on the USDSS methodology, the updated data and parameters, and explained the results. They explained the USDSS model evaluates the geographic value of milk at fluid milk processing plants across the U.S by finding the lowest cost solution of assembling milk at farms and delivering it to plants. They said the model accounts for approximately 90 percent of the U.S. dairy processing and manufacturing plant capacity, and considers such factors as milk supply locations, transportation costs (both variable and fixed) associated with raw milk assembly, final and intermediate product distribution, per capita demand by county population, and road weight limits. In the model, plant capacity, products produced, and milk components demanded at each plant are constrained by a variety of government and private sources. The resulting values, said the witnesses, represent the value of an additional load of milk at a specific plant location (otherwise known as the ‘‘marginal value’’). The witnesses said two sets of USDSS results were provided to NMPF, May and October 2021, to provide marginal values for both flush and deficit months. According to the witnesses, the results suggest considerable differences between the values of milk at fluid plants derived from spatial economic modeling and current Class I differential values, with differences as large as $3.00 per cwt in some locations. The witnesses attributed these differences to changes in the location of milk production, the composition of dairy product demand, changes in the location of dairy product demand from regional population shifts, and the cost of transportation. Both witnesses discussed how modeling, even though complex, is a simplification of reality and that there may be unaccounted factors in some areas that would justify deviations from the model results, including local traffic congestion, geography, infrastructure restrictions, and price alignment across orders. The witnesses said the model does not account for other factors, such as existing business relationships and FMMO regulations, because they could cause a departure from a market efficient solution. Lastly, the witnesses noted the USDSS does not produce a base differential value; it merely provides the additional value needed to move milk to a particular location. While NMPF cooperative member witnesses testified on how they used the USDSS results to arrive at the proposed differentials, NMPF witnesses stated they followed the same iterative process applied during Order Reform, starting E:\FR\FM\15JYP3.SGM 15JYP3 ddrumheller on DSK120RN23PROD with PROPOSALS3 57606 Federal Register / Vol. 89, No. 135 / Monday, July 15, 2024 / Proposed Rules with USDSS results and adjusting for milk movements, plant locations and historic price relationships. One witness said NMPF started with a base differential assumption of $1.60 per cwt, as currently contained in the Class I differentials. The witness said the costs embedded in the base differential (Grade A maintenance, balancing, and a competitive factor) are still applicable and those costs have not decreased over the past 25 years. The witness said the base differential should also serve to limit class price inversions, incentivize Class I milk deliveries, and ensure class price alignment. To accomplish these goals, the witness said that in some parts of the country the base differential is recommended to increase to $2.20 per cwt. One NMPF witness testified regarding the dairy farmer cost of maintaining Grade A status. The witness said that in order to participate in the FMMO program, dairy farmers incur costs associated with obtaining and maintaining Grade A licenses. The witness was of the opinion partial cost reimbursement for maintaining a Grade A license, which currently represent $0.40 per cwt in the base differential, should continue to be provided. The witness detailed standards for maintaining Grade A status, which include various infrastructure maintenance and sanitation requirements, and estimated a total current cost of $1.30 per cwt to meet those requirements. A series of NMPF witnesses testified on the regional considerations factored into the proposed Class I differentials contained in Proposal 19. During their testimony they also touched on balancing costs faced by NMPF cooperative members and the continued need to include a competitive factor in the base differential. One witness described how the average of the May and October 2021 results was used as a starting point. From there, NMPF formed regional committees to evaluate the USDSS average results and use their local market knowledge to derive the final proposed differential values. According to the witness, a series of 19 anchor cities were selected for their proximity near the border of where two regions abutted. The regional committees used these anchor cities as common starting points to design a final Class I differential surface that ensured price alignment between orders. Each committee looked at current price relationships between plant locations and consumer demand areas, compared those to the USDSS averages, and designed a Class I differential structure that accounted for factors NMPF VerDate Sep<11>2014 19:40 Jul 12, 2024 Jkt 262001 members thought were not adequately addressed in the USDSS results. Northeast A DFA witness testifying on behalf of NMPF discussed the changes in the Northeast marketing area, including increased hauling costs, changes in the milk production and location of farm and fluid processing plants, and an overall increase in production costs. The witness said milk production in 11 of the 12 northeast states declined from 2000 to 2022, except for New York which saw a 31.4 percent increase, resulting in a small overall increase in the region’s milk production of 2.2 percent. During this time, the witness said the resident population increased by 9.1 percent. The witness noted the geographic shift in where milk is processed due to the closure of fluid plants in urban areas since 2000. The witness surmised local milk supplies in the northeast are used to meet increasing Class II and Class III needs, necessitating milk to travel farther distances to meet fluid demand. The witness estimated transportation costs paid by producers in the region have increased $0.70 per cwt. An Agri-Mark witness also testified regarding the changing marketing conditions in the northeast region and described some of the proposed differential differences from the USDSS model. The witness opined that if the USDSS averages were adopted for Maine, it would incent producers in Maine to service Massachusetts, instead of remaining available to meet local demand. Therefore, the witness said NMPF is proposing to flatten the differentials in Maine to maintain current competitive relationships. NMPF is also proposing lower differentials in northern Vermont and New York in order to incent milk movements south and east. The witness said these changes from the USDSS average results are needed to preserve current milk movements and to maintain competitive relationships. Mid-Atlantic An MDVA witness representing NMPF testified regarding the proposed differentials in the Mid-Atlantic region. The witness said MDVA operates two balancing plants in the region that help balance the market’s reserves in both the Northeast and Appalachian FMMOs. According to the witness, there are large seasonal swings in milk delivered to those balancing plants, which result in significant cost to the cooperative and its members. The witness was of the opinion the base Class I differential should provide some balancing cost PO 00000 Frm 00028 Fmt 4701 Sfmt 4702 reimbursement to its members through its distribution through the marketwide pool. Transportation costs have also increased significantly, the witness said, to a point where Class I differentials are less effective in attracting milk from reserve supply areas to Class I plants. In order to meet fluid demand, the witness said cooperative members must pay for the additional cost through milk check deductions without any additional compensation through the Class I differential. The MDVA witness compared current and USDSS average values for multiple plant locations in the region. According to the witness, the regional committee focused on the need to cover additional transportation costs of servicing the fluid market and maintaining current price relationships as principles when determining deviations from the USDSS average results. One example cited two plants in Landover, Maryland and Frederick, Maryland, located approximately 55 miles apart with a current difference in differential values of $0.10. The witness said the USDSS average would have resulted in a $0.35 difference and created an artificial regulated cost advantage for the lower zoned plant in Frederick, Maryland. Another example was in the southeastern region where two Virginia plants located 15 miles apart and currently in the same differential zone would have seen a $0.10 differential difference under the USDSS model average scenario. In this case, said the witness, the committee decided to propose the same differential value for the two plants in order to preserve their competitive relationship. Southeast A DFA witness representing NMPF testified on the proposed differentials in the southeast region. Similar to other witnesses, their testimony centered on the decline in dairy farmers and the closure of fluid processing plants which necessitate longer milk hauls at a greater expense to dairy farmers, particularly cooperative members. The witness spoke to the unique marketing conditions in the southeast region, with a growing population, local fluid demand, and a significant milk supply deficit requiring supplemental milk supplies to be acquired from outside the region. The witness said the supplemental milk supplies are obtained at great expense to DFA cooperative members. The witness stated it is typical for supplemental loads to travel between 500–650 miles or more, and while the transportation credits in the Southeast FMMO provide partial reimbursement, the fund is E:\FR\FM\15JYP3.SGM 15JYP3 Federal Register / Vol. 89, No. 135 / Monday, July 15, 2024 / Proposed Rules inadequate to cover the full cost. The witness said the proposed differentials contained in Proposal 19 would assist in covering transportation costs and support dairy farmers who supply the region. ddrumheller on DSK120RN23PROD with PROPOSALS3 Florida An SMI witness representing NMPF testified on the proposed differential for the Florida FMMO. The witness said there is an inadequate milk supply available in Florida to meet its Class I needs, necessitating significant volumes of milk deliveries from outside the marketing area, notably Georgia. According to the witness, Florida milk production is quickly shrinking, declining more than 10.9 percent in 2022, and necessitating more than 24 percent of its milk needs to come from other states. The witness discussed Florida’s significant population increase and high Class I utilization, which has averaged greater than 82 percent since 2000. The witness described significant seasonal swings in fluid milk needs and SMI’s efforts to balance those needs through purchasing additional milk tankers, marketing milk to non-pool plants at below FMMO values when needed and buying supplemental loads at above FMMO values during other times of the year. The witness said weather and the seasonal population influx also complicate the region’s milk balancing efforts. These dynamics make supplying the Florida region particularly expensive, estimating that SMI balancing costs for the first half of 2023 were $1.33 per cwt. The SMI witness testified the proposed Florida differentials maintain the historical differential slope while more adequately reimbursing for transportation costs, which the witness estimated has more than doubled in the past 20 years, from $2.31 in 2002 to $5.98 in May 2023. The witness said the Florida differentials contained in Proposal 19 are similar to the averages of the May and October 2021 USDSS results but were adjusted to preserve current competitive relationships. As a result, the witness concluded the region would be assured an adequate supply of milk for fluid use and fluid milk buyers would be better assured of equal raw product costs. The SMI witness was of the opinion the differentials should not be adjusted to reflect recently enacted Distributing Plant Delivery Credits in the Florida FMMO, as both are needed to ensure adequate supplies of fluid milk for the region. VerDate Sep<11>2014 19:40 Jul 12, 2024 Jkt 262001 Southeast/Southwest A Lone Star witness representing NMPF testified regarding the differentials between the southwest and southeast regions. The witness said the eastern portion of the Southwest FMMO and the three southeastern FMMOs are milk deficit regions. The witness emphasized the differential recommendations are designed to provide proper financial incentives through a steeper differential slope to move milk into and within those regions. The witness said other factors considered included keeping current city to city price relationships as well as competitive relationships between plants often clustered around metropolitan areas. While differentials in some areas were increased relative to the USDSS average to reflect NMPF member knowledge of milk movements and related transportation costs in the region, other differentials were lowered. The witness noted NMPF members believe the USDSS overestimated balancing costs for parts of Virginia and the Carolinas, and subsequently is proposing muted differential increases for those regions. Regarding Florida, the witness said the NMPF members accepted the USDSS model average output of $7.90 as the differential for Miami, Florida. They then worked up through the state with a priority of maintaining competitive relationships between plants. The only deviation the witness noted was Myakka City, Florida, whose current differential is $0.40 higher than plants in the Tampa-Orlando corridor. The witness was of the opinion the spread was too large, and consequently Proposal 19 recommends the spread be reduced to $0.20. In the southwest region, the Lone Star witness said, milk must move significant distances from the supply region in the Texas panhandle and eastern New Mexico to the demand centers in east Texas. The witness said milk routinely travels anywhere from 400–650 miles to service the fluid needs of the state and stressed the current differentials in the region are inadequate in covering transportation costs for these routine milk movements. Consequently, Proposal 19 generally contains higher proposed differentials than the USDSS model average, with greater increases moving northwest to southeast to incent milk to move where needed. The witness added there is a single differential level proposed for New Mexico, reflecting what the witness said was primarily a captive instate market for milk. PO 00000 Frm 00029 Fmt 4701 Sfmt 4702 57607 Mideast A DFA witness representing NMPF testified in detail on hauling assembly costs associated with the Mideast marketing area. The witness described the region’s principal supply areas as central and northeast Michigan, northern Indiana and northwestern Ohio, and fluid demand areas centering around the region’s large cities of Detroit, Grand Rapids, Indianapolis, Columbus, and Pittsburgh. The fluid plants compete for a milk supply with the numerous small to medium-sized cheese plants in northeast Ohio, two large cheese plants in central and western Michigan and one large cheese plant in western Pennsylvania, explained the witness. The DFA witness testified the Mideast region has increased milk production 20 percent over the last 23 years, while simultaneously seeing a 66 percent reduction in dairy farms. The region’s Class I utilization was 37 percent in 2022, supplied by approximately 33 distributing plants, down from 57 in 2000. The consolidation in both the supply and demand sectors, increased hauling distances to fluid plants, along with a robust manufacturing sector, has created challenges in encouraging milk to meet fluid demand. The DFA witness estimated that Ohio assembly and delivery costs have increased approximately 69 percent from 2006 to 2023, attributing most of the increase to fuel, labor and equipment costs. The witness said current differentials do not provide enough financial incentive to move milk from supply regions to Class I plants. As a result, said the witness, the cost of supplying fluid milk needs is largely borne by cooperatives and their members. For the Mideast area, the DFA witness said the committee concentrated on a selected group of larger cities in the region to analyze the relative value differences. The overall objective was to determine the value needed to encourage milk to move from milk supply areas in the north and west to areas of demand. The committee started with Chicago, Illinois, and determined that even though no fluid plants operated in the Chicago region, its differential should align with prices of locations that supply packaged milk, which are Grand Rapids, Michigan, Cedarburg Wisconsin, Rockford, Illinois, and Dubuque, Iowa. The committee ultimately determined a $3.10 differential appropriate for Chicago (Cook County). From there, the witness reviewed a series of city pairs and provided justification for why the E:\FR\FM\15JYP3.SGM 15JYP3 ddrumheller on DSK120RN23PROD with PROPOSALS3 57608 Federal Register / Vol. 89, No. 135 / Monday, July 15, 2024 / Proposed Rules proposed differentials were adjusted from the USDSS model average. Reasons given for the changes centered on distance from larger population centers and/or milk supply areas and providing enough financial incentive, in the committee’s opinion, to encourage milk to move where needed. The witness mentioned another consideration was the willingness of milk haulers to deliver, referring to resistance of milk haulers to make the long hauls needed to deliver milk to central Ohio, for example. The DFA witness also detailed considerations for proposed differentials in western Pennsylvania, centering around plants in the Pittsburgh area, and plants in southwest Ohio and eastern Indiana. They said differentials were adjusted in those areas to account for what the committee believed were current competitive relationships. The witness said that, ultimately, the committee recommended more slope than the USDSS model by reducing the differential increases in the milk surplus areas of Michigan and increasing the slope when moving to the south and east. Another DFA witness spoke to increased hauling costs in the Mideast area. The witness said that as the number of dairy farms in the area has declined, so has the number of available milk haulers. Compounding the issue is competition with other industries who also rely on commercial haulers. As a result, milk hauling rates have increased as the fewer number of milk haulers must travel farther distances to assemble and deliver milk loads. The witness presented data on various factors that contribute to overall transportation costs, such as wages, diesel fuel prices, and equipment purchase costs. A witness from the Michigan Milk Producers Association (MMPA) testified on the unique Michigan marketing conditions that resulted in deviations from the USDSS model output. The witness said Michigan has experienced significant milk production growth, accounting for 68 percent of the region’s growth. Michigan milk production serves as a reserve supply for states south and east, which are considerably longer routes than when the differentials were adopted in 2000, said the witness. They testified current differentials are no longer adequate to cover current transportation costs and highlighted how the large flat differential zone in Michigan, covering 525 miles, makes it difficult to encourage milk to travel farther distances to supply fluid demand instead of satisfying local manufacturing plant demand. Therefore, NMPF VerDate Sep<11>2014 19:40 Jul 12, 2024 Jkt 262001 proposed more, smaller pricing zones within the state to better reflect the cost to move milk. The witness estimated MMPA’s hauling cost for transporting milk from mid-Michigan to eastern Ohio, approximately 287 miles, was $1.06 per cwt per 100 miles. The MMPA witness testified that is has been more difficult to obtain over order premiums to cover increased costs because national retailers with more bargaining power have replaced local independent stores. Consequently, the witness said, national retailers with a wider geographic footprint and higher milk volume needs have put downward pressure on premiums. The witness concluded that increasing Class I differentials to better reflect the cost of supplying the fluid market would be more equitable than an increasing reliance on a dairy farmer’s ability to negotiate over-order premiums in a magnitude large enough to fully cover costs. Upper Midwest A Prairie Farms witness representing NMPF explained the proposed Minnesota and Wisconsin differentials. The witness said the USDSS results had too much slope between the states that would have created too much financial incentive to move milk out of Minnesota, creating difficulties for Minnesota plants to compete for a milk supply. Consequently, the witness said NMPF is proposing fewer differential zones in the Upper Midwest region to ensure a local supply could be maintained. Further, in that region, NMPF was cognizant to propose differential levels that would minimize negative impacts on producer blend prices. This witness opined the differentials contained in Proposal 19 would not fully cover the cost of moving milk the long distances required to service the fluid market in regions where they operate. However, they said, the proposed differentials would encourage the availability of adequate milk supplies to support milk demand in distant markets. Central The Prairie Farms witness also testified on the proposed Class I differentials in the Illinois, Iowa, Missouri, and Nebraska areas. The witness said that in the last 20 years the cooperative has become more dependent on supplemental milk supplies to serve markets in Illinois and Missouri, while Iowa has lost milk processing capacity in the eastern half of the state due to plant closures. In addition, the decline of milk production in southeast Iowa has made it more PO 00000 Frm 00030 Fmt 4701 Sfmt 4702 difficult for Prairie Farms to stair step milk into the Appalachian and Southeast FMMOs to meets its supplemental milk needs. All these factors have contributed to changes in the region’s milk movements and increased producer hauling costs, stressed the witness. The witness reviewed several equidistant Prairie Farms hauling routes and highlighted the disparity in differential gains. For example, some routes traveling approximately 300 miles may see a differential gain of $0.90, while other routes traveling a similar distance may only see a gain of $0.25. The witness stated the region’s differentials need to be adjusted to remove some of the disparity and provide adequate financial incentive to supply fluid plants located in the south and east. The Prairie Farms witness said their cost to move milk to its four southern and southeastern fluid plants was approximately $5.25 to $5.50 per loaded mile, and costs to supply plants in central Illinois is similar. A DFA witness also testified to differentials proposed for the Central FMMO region. The witness echoed other testimony regarding decreased farm numbers, longer distances traveled, and increased hauling expenses. The witness estimated DFA hauling costs in the region have increased 151 percent from 2005 to 2022. The witness spoke to the proposed differential increases in the region. Proposal 19 would increase the current differential values by $1.35 in Kansas City, $1.15 in Omaha and $1.65 in Wichita. The witness elaborated that the higher increase in Wichita reflects the area’s lack of an adequate local milk supply. More specifically, the witness stated that only 27 percent of Wichita’s demand is delivered from within a 150-mile radius, while in Kansas City and Omaha, 47 percent and 55 percent, respectively, comes from within 150 miles. Numerous NMPF witnesses testified about the proposed Colorado differentials. One DFA witness testified the USDSS model overestimated the amount of milk in Colorado available to meet the State’s fluid needs because of private contractual relationships with manufacturing plants. Consequently, NMPF recommends deviations from the model to recognize current competitive relationships, said the witness. The witness also discussed population, milk production, and fluid demand similarities between Denver and other regional cities to justify increasing the Denver area differentials to more closely align with differentials in those cities. The witness said adoption of the USDSS model output for Colorado, without adjustments, when combined with other E:\FR\FM\15JYP3.SGM 15JYP3 Federal Register / Vol. 89, No. 135 / Monday, July 15, 2024 / Proposed Rules changes that could result from this rulemaking would result in significant, unsustainable decreases in producer pay prices and, thus, blend price equity must be considered when making differential adjustments. Other DFA witnesses spoke in more detail on the potential producer price impact on Colorado dairy farmers. The witnesses testified hauling and feed costs in Colorado are higher than other parts of the region, which they believe were not properly reflected in the USDSS model. One witness said producer prices in Colorado currently exceed those of the FMMO’s base zone, however, if the USDSS model average were adopted, it would result in producer blend prices lower than prices announced at the base zone, causing significant financial harm to Colorado dairy farmers. ddrumheller on DSK120RN23PROD with PROPOSALS3 Arizona A United Dairymen of Arizona (UDA) witness representing NMPF testified in support of Proposal 19. UDA is a dairy farmer-owned cooperative association, with 36 cooperative members and a manufacturing plant located in Arizona. The witness cited many factors, such as weather, climate, transportation, fuel, and increased costs of producing Grade A milk as challenges for Arizona dairy farmers. The witness stressed the costs of maintaining Grade A status in the State exceeded $2.35 per cwt. According to the UDA witness, the proposed Arizona Class I differentials: generally follow the USDSS model, with deviations made to reflect local market conditions; maintain current price relationships between handlers within Arizona and the surrounding states; and establish a smooth differential transition from surrounding areas. The witness noted UDA operates a plant in Tempe, Arizona, that serves as a balancing plant for the market. The witness said the cost of operating the plant does increase in the summer months as less milk volume is run through the plant when milk supplies are lower. California A CDI witness testified on the process for determining the proposed California differentials. The witness said the goal of the California differentials was to recognize regional cost drivers and local market conditions unique to servicing California urban areas, and to maintain price relationships with surrounding states. In the witness’ opinion, the USDSS model did not account for the impact on producer prices, which could alter pool stability and incentives to supply the Class I market, and region- VerDate Sep<11>2014 19:40 Jul 12, 2024 Jkt 262001 specific cost drivers such as geography or traffic. Those considerations form the basis for the deviations from the USDSS model output NMPF proposed. The CDI witness provided an overview of the similarities between the California Central Valley and Upper Midwest milksheds to justify the position that the lowest differential in both regions should remain similar. For that reason, said the witness, NMPF proposes a minimum differential zone of $2.50 in California, which is similar to the lowest Upper Midwest differential zone of $2.55. The witness also discussed dwindling milk supplies, increased population, pervasive traffic congestion, and the closure of manufacturing plants in southern California as reasons for making adjustments. The witness described changes made in three California regions (Central Valley, Bay Area, and Southern California) to provide incentives for dairy farmers to serve the Class I market in the urban areas. A DFA witness also testified on California and Northern Nevada proposed Class I differentials. The witness advocated the maintenance of competitive equity between Class I and manufacturing plants in northern Nevada and California counties. The witness was of the opinion the USDSS model fell short in adequately capturing the cost of producing milk in California. The witness said the current 10-cent difference in zones is not sufficient as it does not reflect the actual movements of milk or unique California State regulations, taxes, geography, and high milk production costs. The witness stated the current differentials do not cover the hauling costs in a state with high gas prices, heavy traffic, and road weight limits. The witness supported testimony from the CDI witness justifying the proposed California differentials. The DFA witness also expressed northern Nevada counties have a historic competitive relationship with northern California, which should be preserved. The witness noted that Proposal 19 recognizes this dynamic by proposing a $2.90 differential for the region. Pacific Northwest A witness representing Northwest Dairy Association (NDA) testified on behalf of NMPF regarding the proposed differentials in the Pacific Northwest (PNW) region, which includes the States of Washington, Oregon, Idaho and Montana. NDA is a dairy farmer-owned cooperative that markets the milk of approximately 295 dairy farmers in Washington, Oregon, Idaho, and Montana, and conducts all processing PO 00000 Frm 00031 Fmt 4701 Sfmt 4702 57609 and marketing operations through the wholly owned subsidiary Darigold. The witness described regional competitiveness at the farm level, ensuring incentives to service Class I markets, and geographic and population-influenced cost factors were the primary reasons the proposed differentials deviate from the USDSS averages. The witness was of the opinion proposed differentials in the PNW FMMO urban areas should mirror those of the Central FMMO, as the urban areas of the two regions operate similarly. To ensure competitive equity and the balancing needs of distinct areas within the region, the witness said Proposal 19 recommends fewer pricing zones than produced by the USDSS model. The NDA witness also described market changes similar to those of other witnesses: declining milk production, increased population, longer haul distances, and increased transportation costs. The witness estimated NDA transportation costs for servicing PNW Class I plants has increased $1.10 per cwt in the last 15 years. In regard to the unregulated areas of the Northwest, the witness used King County, Washington, as the base at $3.00 per cwt, and kept the zones the same as they currently exist. In counties with little to no milk production, the differential was reduced to as low as $2.20 in Idaho. For areas with higher milk production, the differentials are proposed at $2.55, reflecting the same level of differentials in South Dakota. In its post-hearing brief, NMPF emphasized adoption of Proposal 19 was necessary to ensure Class I differentials would be more reflective of the current costs of supplying the Class I market. NMPF maintained that the proposal would result in Class I differentials below actual costs, keeping with the FMMO principle of minimum pricing. NMPF reiterated testimony given at the hearing regarding the continued relevancy of the costs associated with the base differential, and stressed the costs have increased since it was first adopted in 2000. NMPF reviewed its own testimony at the hearing on what it believes were the appropriate regional considerations used to propose deviations from the USDSS results. According to NMPF, adoption of Proposal 19 would only raise the regulated cost of Class I milk under FMMOs by slightly less than 8 percent. NMPF reiterated the importance of Class I prices remaining the highest priced class to ensure producers move surplus milk to deficit regions to meet Class I demand. Without such pricing E:\FR\FM\15JYP3.SGM 15JYP3 ddrumheller on DSK120RN23PROD with PROPOSALS3 57610 Federal Register / Vol. 89, No. 135 / Monday, July 15, 2024 / Proposed Rules hierarchy, NMPF stated, milk in the higher-valued use class would not be pooled and it would result in nonuniform prices to producers. A witness representing the AFBF testified in support of Proposal 19. The witness concurred with NMPF testimony on the increased costs of servicing the market since the differentials were adopted in 2000. In offering support for the differential adjustments, the witness said the purpose of the USDSS model was to mimic an ideal market solution, so it would be expected that actual market costs are higher. The witness mentioned that given the seasonality of milk demand, it could be considered more appropriate to start with the USDSS October 2021 results, rather than the average. In its post-hearing brief, the AFBF stressed that regulated Class I differentials provide for long-term stability; something that cannot be assured if a larger portion of milk prices is negotiated through over-order premiums. A witness representing IDFA testified in opposition to Proposal 19. The witness was of the opinion NMPF did not use a consistent methodology when determining differential level adjustments from the USDSS model results. Additionally, stressed the witness, some of the factors NMPF considered are not relevant and/or are unevenly applied (dairy farm production costs, private business relationships, blend price impacts, and regional dairy farm competitiveness), or were already factored into the USDSS model (transportation costs and maintaining handler equity). The witness was of the opinion that if milk suppliers and cooperatives experienced transportation costs higher than those provided for in the differentials, the additional cost reimbursement should be negotiated through over-order premiums with milk buyers. The witness also took issue with what they deemed an undefined base differential, which was proposed at $1.60 in some areas and $2.20 in other areas, with what they saw as no cost justification for the difference. The IDFA witness argued the purpose of Class I differentials is to bring forth an adequate supply of milk for fluid use. According to the witness, with an FMMO Class I utilization of 27 percent, the current milk supply is more than adequate to serve Class I needs and there is no justification for increasing Class I differentials. The IDFA witness cited a recent retail milk demand study that found milk demand is elastic and, thus, the quantity demanded is sensitive to price changes. The witness argued VerDate Sep<11>2014 19:40 Jul 12, 2024 Jkt 262001 any increase in price would not only hurt Class I sales, but also increase government purchase costs for milk used in nutrition and feeding programs. The witness stressed retail fluid milk sales have been declining and USDA should not hasten the decline by increasing Class I prices. The witness also added that eliminating or reducing the depooling of milk should not be a consideration when evaluating Class I differential levels. The witness said depooling is a necessary tool for manufacturing handlers when the Class III or Class IV price exceeds the blend price. They estimated that in some FMMO areas the Class I differential would have to increase to $41.32 per cwt in order to disincentivize depooling. The IDFA witness was of the opinion that if USDA recommends differential increases, they should not be increased in the three southeastern FMMOs as those provisions already require fluid milk handlers to pay transportation credits and distributing plant delivery credit assessments to encourage producers to service Class I demand in those deficit markets. The witness estimated those assessments already account for approximately 42 to 46 percent of the differential increases contained in Proposal 19. The IDFA witness also argued the $0.40 portion of the base differential attributed to maintaining Grade A status is no longer relevant given over 99 percent of all milk currently produced is Grade A. Consequently, said the witness, there is no longer a need to incentivize farms to become Grade A in order to service the Class I market and the base differential should be lowered to $1.20 per cwt. Two witnesses representing IDFA, Saputo and Plains Dairy, testified in opposition to Proposal 19 and offered support for the arguments put forth by the IDFA witness. The Saputo witness said increasing fluid milk prices may reduce the retail price spread between fluid milk and plant-based products, further depress fluid milk sales, and ultimately force fluid plants to switch from HTST to ESL processing. The witness speculated a further decline in HTST facilities will force cultured products to be made elsewhere and increase costs to consumers. In regard to obtaining milk supplies, the witness said Saputo pays over-order premiums when necessary. The witness also opposed any increases in minimum regulated prices on the grounds that nonuniform increases would put some of its plants at a cost disadvantage. The Plains Dairy witness stated the increase from the model average results would PO 00000 Frm 00032 Fmt 4701 Sfmt 4702 impact consumer prices by $0.07 per gallon. Plains Dairy is a fluid milk processing facility in Texas. A witness representing MIG also testified in opposition to Proposal 19 for many of the same reasons articulated by the IDFA witness. The MIG witness said NMPF failed to cost-justify any elements of the base differential, either at the $1.60 or $2.20 level, to support why it should be maintained. In echoing IDFA’s arguments, the MIG witness also objected to NMPF’s use of the USDSS averages as a starting point. As the FMMO system provides for minimum prices, the witness was of the opinion any evaluation of differential changes should start with the USDSS May model results, which represent the flush season for milk production. The witness said Proposal 19’s problems are compounded because NMPF failed to use a consistent set of principles to justify its deviations from the USDSS results. In addition, many of the factors used to justify deviations, the witness said, were already factors considered by the model and, thus, are being double counted. The MIG witness characterized the NMPF deviations as substantial and presented a series of maps to visualize the magnitude of the disparate changes. The witness also pointed to areas where price changes are more dramatic between neighboring counties, and suggested such price disparities could create incentives for disorderly marketing. The witness deemed the Proposal 19 differentials to be significantly different from current differentials, and argued the increases are being proposed despite a lack of evidence from NMPF that there is a shortage of milk available to meet Class I demand. Class I differentials should reflect the minimum cost of serving Class I milk, stressed the witness. If there are additional transportation costs not provided for under the current differential as alleged by NMPF, the witness testified, those would be reflected in negotiated over-order premiums in the market. Instead, many areas of the country have no over-order premiums, which the MIG witness interpreted as an indication that FMMO prices are not minimums, but price enhancing. Similar to the IDFA witness, the MIG witness was of the opinion no changes should be made to the differentials in the three southeastern FMMOs until the full impact of the recent amendments to the transportation credits and establishment of the distributing plant delivery credits are known. Three witnesses representing Organic Valley testified in opposition to E:\FR\FM\15JYP3.SGM 15JYP3 ddrumheller on DSK120RN23PROD with PROPOSALS3 Federal Register / Vol. 89, No. 135 / Monday, July 15, 2024 / Proposed Rules Proposal 19. Organic Valley consists of 1,600 farmer-owners who produce certified organic milk, three dairy manufacturing facilities which make Class III and IV products and utilizes a network of co-packers to process and distribute Class I products. The witnesses opposed the NMPF proposed differentials as they would increase Organic Valley’s obligation to FMMO marketwide pools. The Organic Valley witnesses described the differences between the organic and conventional milk markets (both at the producer and processors level). They were of the opinion Proposal 19 fails to account for these differences and would result in inefficient milk movements if adopted. The witnesses countered arguments that the conventional market balances the organic market, claiming only around 2 percent of organic milk finds its way into conventional products. A witness from Aurora testified in opposition to Proposal 19. Aurora is a vertically integrated organic milk supplier with four organic dairy farms located in Colorado and Texas. The witness was of the opinion no justification exists to increase Class I differentials as the areas surrounding the Aurora plants have adequate organic milk supplies, something that was not accounted for in the USDSS model. The witness explained the organic milk market and argued its structural differences from the conventional milk market make any change to the Class I differentials as applied to organic milk unwarranted. Similar arguments were made by a MIG witness on behalf of Danone and Crystal Creamery. A witness for Maple Hill Creamery (Maple Hill) testified in opposition to Proposal 19. Maple Hill purchases grassfed organic milk for processing and national distribution but does not own a fluid milk plant. The witness opposed the proposed Class I differentials and estimated their Class I marketwide pool obligation could increase up to 80 percent as a result. The witness made arguments similar to other organic processors and concluded that increasing Class I differentials would result in a choice between paying a lower organic fixed price to its dairy farm suppliers and jeopardizing supply, or raising retail prices and jeopardizing sales. A witness representing Shamrock, a member of MIG, testified in opposition to Proposal 19. The witness said adoption of Proposal 19 would increase their raw milk costs anywhere from 29 to 62 percent. The witness testified Shamrock pays over-order premiums which they believe cover any additional VerDate Sep<11>2014 19:40 Jul 12, 2024 Jkt 262001 costs associated with servicing their plants in excess of the Class I differential value. The witness noted an inconsistency in NMPF methodology, as the differential for their Virginia plant is proposed at the USDSS model average, while the differential at their Arizona plant is $0.65 greater than the average. A witness for AE, a MIG member, also testified in opposition to Proposal 19. The witness was of the opinion NMPF had not provided justification for the Class I differential increases. They specifically objected to the Class I differential changes that would, in the witness’ opinion, give its nearest competitor a $0.15 greater advantage than currently exists. A MIG member witness for HP Hood testified in opposition to Proposal 19. HP Hood also operates four standalone Class II plants in the northeast. Similar to the AE witness, the HP Hood witness testified the proposed Class I differentials would create competitive disadvantages for their plants in relation to nearby cooperative owned plants. The witness criticized what they believe was the lack of uniformity used by NMPF in developing differentials that deviated from USDSS results. The witness said there are ample milk supplies to meet Class I needs and any increase in the Class I price would only serve to decrease fluid milk sales. A witness from Turner Dairy, a MIG member, testified in opposition of Proposal 19. The witness objected to the continued relevance of the three base differential components. The witness said Turner Dairy has not had difficulty finding adequate milk supplies through its independent dairy farm supply. The witness said any Class I differential increases would be paid into the FMMO marketwide pool, not to its direct suppliers. The witness said this would make it harder to compete for dairy farm suppliers, particularly with competitors in the unregulated area to their east. Similar to other witnesses, the Turner Dairy witness detailed how the proposed Class I differentials would create competitive disadvantages for their plants relative to nearby cooperative plants, as well as decrease fluid milk consumption. A MIG witness testifying on behalf of fairlife opposed Proposal 19. The witness argued that if more money is needed to attract fluid milk supplies, it should be negotiated in the marketplace, not mandated in FMMO pricing provisions. The witness said fairlife regularly pays over order premiums for even day receiving, transportation costs, and quality attributes. In the witness’ opinion, there are ample fluid milk supplies and any increase in differential PO 00000 Frm 00033 Fmt 4701 Sfmt 4702 57611 would only serve to create market winners and losers. A witness from Shehadey, testified in opposition to Proposal 19. Shehadey operates four manufacturing plants in California, Nevada, and Oregon, producing Class I and Class II products. The witness argued the Class I differentials proposed for their plant locations should not be increased as the local milk supply is adequate to meet their fluid needs. The witness took particular objection with the disproportionate increase by the Fresno, California, plant in relation to their competitors located farther from the state’s primary milk supply in the Central Valley. The witness added that their Oregon plant has a more distant milk supply relative to their other plants, and over-order premiums are used to compensate dairy farmers for the additional costs of servicing the plant. A witness representing United Dairy, Inc. (United) testified in opposition to Proposal 19. United is a fluid milk processor operating three plants in West Virgina, Ohio, and Pennsylvania, which are primarily supplied by independent dairy farms. The witness testified their plants receive adequate milk supplies and pay over-order premiums when needed to ensure their milk needs are met. The witness opined the market should depend on over-order premiums, not unduly high regulated prices, to direct milk where needed. Similar to other witnesses, the United witness argued FMMO prices should not be increased because it would negatively impact Class I sales. The witness objected to the uneven application of differential increases, highlighting the differential increases for the United plants are higher than every other plant in the region, even when United has had no milk supply shortages. A West Virginia independent dairy farm supplier of United also testified in opposition to Proposal 19. The witness expressed concern the proposed differential increases would ultimately lead to the closure of the independent fluid milk processors in the State, leaving local dairy farmers with few, if any, local market outlets, and would widen the nutritional gap that already exists in the Appalachian area as higher prices would reduce fluid milk consumption. A witness representing Lamer’s testified in opposition to Proposal 19. The witness said increasing Class I differentials would not benefit consumers or processors as higher prices would lead to a decline in fluid milk consumption and the closure of more fluid milk plants. The witness was E:\FR\FM\15JYP3.SGM 15JYP3 ddrumheller on DSK120RN23PROD with PROPOSALS3 57612 Federal Register / Vol. 89, No. 135 / Monday, July 15, 2024 / Proposed Rules of the opinion that limiting or disallowing the depooling of manufacturing milk would be a more beneficial change for all dairy stakeholders. A post-hearing brief filed by Lamers contended the hearing record contains no evidence of Class I demand not being fulfilled, thus any increase in Class I prices is not justified. The brief argued that if additional transportation costs of moving milk to Class I plants exist, they should be negotiated through over-order premiums. A series of academic researchers testified regarding milk price elasticity. One researcher testified on behalf of NMPF regarding the potential impact to fluid milk demand as a result of regulated price changes. The witness referred to this as price elasticity, which estimates the percentage change in demand (quantity) due to a 1 percent change in price. The witness said any price elasticity less than the absolute value of 1 is considered price inelastic— a 1 percent change in price would result in less than a 1 percent change in demand—implying increased revenue due to the price change would more than offset the decreased revenue from fewer sales. The NMPF witness reviewed 38 empirical studies, conducted between 1964 and 2022, measuring milk price elasticity at the retail level. The witness found the study average elasticity of 0.35 percent, and a median of 0.2 percent, concluding milk demand is inelastic. The witness said consumers remain price insensitive because milk continues to be considered a staple food. To illustrate its price inelasticity, the witness elaborated the real price of milk relative to all goods and services has declined 7 percent since 2013, during which time milk demand has decreased 18.3 percent. If milk was elastic, said the witness, a decline in price should have resulted in an increase in demand. The witness reviewed other factors which they believe are driving decreased milk consumption, including increased competition in the beverage market from new products and alternative beverages, an increase in the amount of food consumed away from home, and the lower proportion of young kids in the population. The NMPF witness evaluated the average increase in differentials contained in Proposal 19, $1.49 or an 8.6 percent Class I price increase, to estimate the impact on demand. Assuming a 55 percent retail price transmission rate (1 percent change in the Class I price would cause a 0.55 percent change in the retail price), the witness estimated Proposal 19 would VerDate Sep<11>2014 19:40 Jul 12, 2024 Jkt 262001 lead to a 1.6 percent decrease in demand. The witness concluded the decrease in demand would be lower than the increase in Class I revenue, resulting in a net increase of dairy farmer revenue. Another researcher testified on behalf of IDFA. The witness presented the results of a study evaluating the impact milk price changes have on the consumption of milk (in five disaggregated varieties) and various alternatives, including soft drinks, bottled, water, juices, and for the first time considered plant-based alternatives. The witness utilized weekly scanner data from 2017 through August 2023 to evaluate three distinct time periods (pre-COVID, COVID and post-COVID). The witness estimated the data represented approximately 84 percent of the milk volume sold at retail outlets, or 64 percent of overall milk volume. The witness attributed the remaining 36 percent to milk sales through untracked retail, foodservice, schools, and shrinkage. The witness noted it is likely the elasticity for the unaccounted milk volume was highly inelastic. The IDFA witness said the study found the own-price elasticities for traditional white, flavored, and lactosefree milk to be elastic, and when all five categories of milk were combined, it had an elasticity of ¥1.26 in the post-COVID time period. Utilizing some of the NMPF researcher’s assumptions (8.6 percent increase in Class I prices and a retail price transmission rate of .55 percent), the witness estimated adoption of Proposal 19 would result in an overall 5.98 percent decrease in fluid milk sales and a 2.1 percent increase in gross dairy farmer revenue. The witness concluded this study revealed retail fluid milk sales are more sensitive to price changes than previously thought. The witness also noted other demand studies that utilize AMS estimated fluid milk sales, not weekly scanner data, do not reflect the current retail marketplace because they incorporate highly inelastic sales to schools, colleges and universities, long-term care and senior living facilities, hospitals, and correctional institutions. A third academic researcher, also testifying on behalf of IDFA, provided results of a study evaluating the market effects of Proposal 19. Looking at milk production, fluid milk consumption, and producer price statistics since 2000, the witness concluded there are sufficient milk supplies nationally to meet Class I demands. The witness was also of the opinion sufficient milk supplies, at reasonable prices, exist for the high Class I utilization FMMOs (the PO 00000 Frm 00034 Fmt 4701 Sfmt 4702 Appalachian, Southeast, and Florida), because retail prices in the three markets were below those of a 30-city average retail milk price when compared to other regions of the country. The witness commented that elasticity studies not accounting for non-dairy alternatives are not representative of the current retail market. The witness reviewed recent fluid demand studies and concluded adoption of Proposal 19 would increase fluid milk prices, decrease consumption, and result in more milk use in manufactured products. A post-hearing brief submitted on behalf of Select supported increasing Class I differentials, but not to the levels contained in Proposal 19. Select contended deviations from the USDSS results made by NMPF may be appropriate but disagreed with the type and extent of those included in Proposal 19. Select took exception to the proposed adjustments in the mideast and southwest regions where they have member farms. Select noted reasons for making deviations were not applied uniformly, especially in areas that have similar supply and demand environments. Select stated increased transportation costs and shifts in milk production and processing locations justify increasing Class I differentials and offered support for using the average of the May and October 2021 USDSS results, with minor adjustments and smoothing of the surface as the USDA would find appropriate. A post-hearing brief submitted on behalf of MIG opposed adoption of Proposal 19, arguing hearing evidence supports lowering, not raising, Class I differentials. MIG cites the abundance of milk available to serve the Class I market and FMMO adjustments to shipping percentages as evidence to deny Proposal 19. MIG reiterated its objection to the methodology used and deviations made by NMPF in developing the proposed differentials. The brief contended raising Class I differentials would be disorderly because it would lower Class I demand and aggravate challenges already faced by fluid milk processors. MIG also noted Class I differential changes should not be considered until the impact of recent changes to transportation cost-related provisions in the Appalachian, Florida, and Southeast FMMOs were known. A post-hearing brief submitted on behalf of IDFA opposed Proposal 19 on the grounds its adoption would cause market disorder by raising fluid milk prices, decreasing fluid milk consumption, harm consumers, and divert milk into manufacturing uses. IDFA reiterated hearing testimony in its E:\FR\FM\15JYP3.SGM 15JYP3 ddrumheller on DSK120RN23PROD with PROPOSALS3 Federal Register / Vol. 89, No. 135 / Monday, July 15, 2024 / Proposed Rules brief regarding the price elasticity of fluid milk and concluded adopting Proposal 19 would reduce fluid milk consumption by 5.98 percent, resulting in over 2.2 billion pounds of milk being diverted to manufacturing uses. Similarly, IDFA objected to NMPF’s methodology in determining the differential levels offered in Proposal 19. IDFA objected to NMPF’s use of dairy farm production costs to justify increases to the Class I differentials and referenced existing milk production as more than adequate to meet fluid milk demand. IDFA maintained Class I differentials should instead be lowered by $0.40 per cwt because the Grade A maintenance cost consideration is obsolete and inaccurate. A MIG witness testified in support of Proposal 20, seeking to reduce the base differential to $0.00. The witness’ testimony centered around the continued relevance of the cost components currently provided for in the base differential: Grade A maintenance, balancing, and Class I incentive costs. The witness was of the opinion the base differential results in market enhancing prices that induce overproduction and reduce fluid milk consumption. The witness said that since almost all U.S. produced milk meets Grade A standards, it is no longer necessary to provide compensation through Class I differentials for those costs as they are not unique to producers supplying the Class I market. They argued these costs are already provided for in market-clearing Class III and IV prices where most of the U.S. milk supply is utilized. The MIG witness said the balancing cost factor is no longer justified as fluid milk processors have either invested in infrastructure to balance their own milk supply or pay over-order premiums to their suppliers for balancing services. The witness was of the opinion incorporating balancing costs within the Class I price results in processors paying for balancing services they do not receive or paying twice for such services—once through the Class I price and again in an over-order premium. Lastly, the MIG witness argued the $0.60 Class I incentive cost factor is no longer necessary to attract adequate supplies of fluid milk given the low, and continually declining Class I utilization. Witnesses from MIG member companies testified in support of Proposal 20. MIG’s members echoed the previous MIG testimony on the relevance of the base differential cost factors in the current market environment. In particular, the MIG witnesses argued that through plant VerDate Sep<11>2014 19:40 Jul 12, 2024 Jkt 262001 investments, particularly ESL processing or additional milk silos, combined with over-order premiums paid to their milk suppliers, they are directly paying for their individual milk balancing needs. The witnesses all opined that through the base differential they are being double charged for such services. All MIG members testified that if additional monies are needed for balancing services or to obtain adequate milk supplies, it is more appropriate for those costs to be negotiated in the marketplace and paid directly to their milk suppliers, rather than as part of a regulated minimum price shared with all pooled producers. Another MIG witness testified regarding the relevancy of the base differential in the current marketplace. The witness was of the opinion the base differential should be reduced to $0.00, and if cost recovery is needed by producers, it can be negotiated with milk buyers. The witness utilized the USDSS model to compare the value of Class I and Class III milk at the county level. The witness presented the results and explained in some parts of the country, where Class III milk is more valuable, it would take additional incentives to service a Class I plant rather than remain at the higher valued manufacturing plant. In other areas of the country, namely the southeast, northeast, and California, the value of Class I is higher, representing the cost to balance the region’s Class I demand. The witness said the national average value of the differences was negative $0.38, indicating nationally, it is more valuable for milk to service Class III plants. The witness drew the conclusion this analysis supports the argument for lowering the base differential to $0.00 and allowing fluid plants to negotiate and pay premiums directly to their milk suppliers. A post-hearing brief submitted on behalf of MIG reiterated its witnesses’ testimony that the base differential is no longer economically justified. MIG stated the current oversupply of Class I milk is caused, in part, from high FMMO blend prices. According to MIG, adoption of Proposal 20 would correct this disorder by allowing a greater proportion of fluid milk costs to be negotiated and paid directly to suppliers. The brief reviewed MIG witness testimony on the relevancy of the costs associated with the base differential and the steps taken by its fluid milk processor members to balance and obtain a milk supply. A Lone Star witness, appearing on behalf of NMPF, testified in opposition to Proposal 20. The witness argued a base differential of $0.00 would result in PO 00000 Frm 00035 Fmt 4701 Sfmt 4702 57613 the elimination of any Class I differential for large portions of the U.S., amounting to approximately $650 million annually, with no guarantee the money could be recovered through overorder premiums. Additionally, said the witness, the lower differentials would lead to disorderly marketing conditions through increased occurrences of negative PPDs, higher volumes of depooled milk, and reduced or eliminated incentives to supply the Class I market. The witness stressed that costs to maintain Grade A status and balance the market’s milk supply are real and significant. The witness said adoption of Proposal 20 would be akin to adopting individual handler pools in much of the country, an idea which they said has been found to cause disorderly marketing conditions. The NMPF witness maintained milk has an inelastic demand, so any reduction in Class I prices will not have a significant impact on Class I sales. The witness also said that despite opposition testimony regarding the perils of setting regulated prices too high, there are also negative consequences for setting the regulated price too low. In the witness’s opinion, dairy farmers still face a market power imbalance when negotiating prices above FMMO minimums, reiterating previous testimony on the difficulty cooperatives have faced when negotiating and maintaining over-order premiums. The NMPF witness concluded by emphasizing the objective of the FMMO system is to set prices to ensure a sufficient quantity of milk for fluid use. The witness stressed providing for prices that reflect the current costs of supplying the market as demonstrated through NMPF testimony should be a priority of this proceeding. In their post-hearing brief, NMPF argued Proposal 20 incorrectly assumes the cost of servicing Class I demand has not increased and reiterated witness testimony on the continued relevancy and need for the base differential. NMPF stressed that costs recognized in the base differential continued to be incurred by dairy farmers in servicing the Class I market and took exception with the position such costs could be adequately recovered through overorder premiums. NMPF maintained Class I demand is inelastic and reiterated the need for Class I prices to continue to be the highest priced class in order to ensure an adequate supply. The AFBF witness also expressed opposition to Proposal 20. The witness testified the cost factors provided for in the base differential are still relevant and in fact higher than when the differential was adopted. The witness E:\FR\FM\15JYP3.SGM 15JYP3 ddrumheller on DSK120RN23PROD with PROPOSALS3 57614 Federal Register / Vol. 89, No. 135 / Monday, July 15, 2024 / Proposed Rules suggested the Department consider raising the base differential and provided current cost estimates for each of the three factors, which would result in a base differential increase of approximately $0.60 per cwt. The witness stressed the importance of the base differential in contributing to the proper alignment of classified prices which they considered a critical element of orderly marketing. The AFBF’s post-hearing brief reiterated its witnesses’ hearing testimony and concluded adoption of Proposal 20 would lead to disorderly marketing conditions. A post-hearing brief filed by Lamers offered support for Proposal 20. Lamers stated its adoption would better reflect the real value of milk and all four classes would have a closer price relationship. Lamers asserted high Class I differentials are no longer needed to supply the fluid market given that 98 percent of milk produced is Grade A. A post-hearing brief submitted by New Dairy also offered support for Proposal 20. Select’s post-hearing brief expressed opposition to Proposal 20 and asserted a base differential of $1.60 should be maintained. Select opined the cost of maintaining Grade A status still exists and has increased, as have the costs associated with balancing and competing for a milk supply. A post-hearing brief submitted by Edge, while not offering support or opposition to Proposals 19 or 20, did contend Class I milk prices should not be raised beyond necessary levels and not be raised merely to offset the negative producer impact of increasing make allowances. The AFBF witness also testified in support of Proposal 21, seeking to increase the Class II differential from $0.70 to $1.56 per cwt. The witness explained the proposed differential reflects updated drying costs based on the current NFDM make allowance. The witness did not believe the proposed increase would lead to the substitution of Class IV powders in lieu of Class II fresh milk. The witness estimated that adoption of Proposal 21 would increase annual FMMO marketwide pool values by $122 million and reduce the likelihood of negative PPDs and depooling. These views were reiterated in AFBF’s post-hearing brief. Several witnesses representing MIG including Turner Dairy; HP Hood; AE; Shamrock; CROPP; Aurora; Shehadey; Crystal Creamery; and fairlife testified in opposition to Proposal 21. The MIG witnesses indicated adoption of Proposal 21 would result in Class II standalone plants choosing not to VerDate Sep<11>2014 19:40 Jul 12, 2024 Jkt 262001 participate in the FMMO system, putting fully regulated Class I plants with Class II production at a competitive disadvantage. This sentiment was emphasized by witnesses from Turner Dairy and Shehadey, whose fully regulated Class I plants also produce notable volumes of Class II products. The witness from Crystal Creamery provided an analysis of CME NFDM and Class II nonfat solids prices, projecting an increase of 20 to 50 percent in the use of Class IV nonfat solids if Proposal 21 was adopted. Lastly, a witness from fairlife predicted adoption of Proposal 21 would cause some manufacturers to reformulate products in order to avoid paying the higher Class II price. In its post-hearing brief, MIG reiterated hearing testimony and added that cream, a Class II product, must be made with fluid milk in accordance with the standards of identity established by the U.S. Food and Drug Administration. As such, according to MIG, a pooled Class II manufacturer of cream could not reformulate and, further, would experience an estimated 3.5 percent increase in its FMMO marketwide pool obligations. Several witnesses representing IDFA, including Saputo, Galloway, and Lakeview Farms, also testified in opposition to Proposal 21. The witness for Saputo indicated the demand for Class II skim solids is likely to decrease if Proposal 21 is adopted, as alternative milk solids would have a greater substitution value. Further, according to the witness, costs to consumers for cream would likely increase. The witness for Galloway testified that adoption of Proposal 21 would not increase blend prices or limit depooling and negative PPDs, as alleged, because Class II manufacturers would instead utilize more Class IV powder ingredients in lieu of fresh milk. In the witness’ opinion, increasing the Class II differential would only serve to promote disorderly marketing through the displacement of the local milk supply and permanent investment of equipment to enable the use of Class IV ingredients. The witness said once a manufacturer makes the costly capital investment decision, they do not switch back to use fresh milk in the future. The witness estimated adoption of Proposal 21 would result in a $99.4 million loss to producers through the use of lower valued Class IV ingredients. A witness from Lakeview Farms supported the statements of other witnesses, emphasizing the likely increase in costs to the customer. This witness added that innovation of more oil-based formulations to offset the price volatility PO 00000 Frm 00036 Fmt 4701 Sfmt 4702 of dairy fat would lead to a disruption in the dairy supply chain. In its post-hearing brief, IDFA reiterated testimony from the hearing which stressed that there is already an adequate supply of milk for Class I and Class II needs, and opined the current Class II price formula is working well as is. As such, according to IDFA, there is no evidence that suggests a need to increase the Class II differential. IDFA argued further that farmers are likely to receive lower net prices as a result of Proposal 21 due to the anticipated substitution of lower cost Class IV NFDM for Class II nonfat solids. Lastly, IDFA focused on the likely disproportionate impact of Proposal 21 on Class I handlers that also manufacture Class II products. Without the ability to depool, these handlers could not take advantage of lower NFDM prices, IDFA wrote. An MMPA witness appearing on behalf of NMPF also testified in opposition to Proposal 21. The witness’ testimony mirrored other witnesses cautioning that adoption could cause substitution with Class IV powder ingredients. The witness said not only does the Class II and Class IV price difference need to be considered, but so does the significantly lower transportation cost of powder versus fresh milk. Under the current Class II differential, Class II milk already has an incentive not to be pooled, said the witness. Increasing the differential would only heighten the incentive and create competitive disadvantages for Class I plants making Class II products, while simultaneously lowering marketwide pool values. In its posthearing brief, NMPF added that adoption of Proposal 21 may incent the practice of substituting less expensive milk powder for fresh milk to make Class II products. NMPF also elaborated on its members’ concerns regarding the likely increase in depooling of Class II milk if Proposal 21 was adopted. USDA received post-hearing briefs related to Proposal 21 from three additional stakeholders: New Dairy; Select; and Lamers. New Dairy expressed its opposition to the AFBF’s Proposal 21, emphasizing that the current milk supply is sufficient, and it shared the concerns of other hearing participants regarding the potential competitive disadvantages for Class I handlers manufacturing Class II products. Select explained that the AFBF’s proposal deviates from the rationale and methodology USDA utilized to establish the Class II differential during Order Reform and, thus, according to Select, Proposal 21 likely overstates an appropriate Class II E:\FR\FM\15JYP3.SGM 15JYP3 Federal Register / Vol. 89, No. 135 / Monday, July 15, 2024 / Proposed Rules ddrumheller on DSK120RN23PROD with PROPOSALS3 differential. Further, Select was of the opinion increasing the Class II differential would discourage the use of fresh milk and cream in lieu of Class IV ingredients. Lastly, Lamers expressed its concern that the adoption of Proposal 21 would lead to disorderly marketing and stated no evidence was presented to suggest a need to increase the Class II differential. Discussion and Findings An FMMO (or ‘‘order’’) is a regulation issued by the Secretary of Agriculture (Secretary) that places certain requirements on the handling of milk in a defined geographic marketing area. FMMOs are authorized by the AMAA. The declared policy of the AMAA is to ‘‘. . . establish and maintain such orderly marketing conditions for agricultural commodities in interstate commerce. . . .’’ 7 U.S.C. 602(1). As specified by the AMAA, the principal means of meeting the objectives of the FMMO program are through classified milk pricing and the marketwide pooling of returns. This rulemaking concerns and is limited to classified milk pricing. FMMOs announce prices each month for milk received by plants during that month, according to its use classification. Since 2000, the FMMO program has used product price formulas that rely on the wholesale price of bulk products to determine the minimum classified prices handlers pay for raw milk in the four classes of utilization. Class III and Class IV prices are announced on or before the 5th day of the following month to which they apply. The Class III and Class IV price formulas form the base, also known as the mover, from which Class I and Class II prices are determined. The Class I price is announced in advance of the applicable month. It is determined by adding the Class I differential assigned to the plant’s location, plus the average of advanced Class III and Class IV prices (computed by using the most recent two weeks’ DPMRP data released on or before the 23rd of the preceding month), plus $0.74. The Class II skim milk price, announced at the same time as the Class I price, is determined by adding $0.70 per cwt to the advanced Class IV skim milk price. Thus, the advanced prices pertaining to milk marketed in a particular month use the same formulae as the calculation of Class III and IV prices for milk marketed in that same month, but the specific data are from different time periods. The Class II butterfat price is announced at the end of the month, at the same time as the Class III and Class IV prices, by adding VerDate Sep<11>2014 19:40 Jul 12, 2024 Jkt 262001 $0.007 per pound to the Class IV butterfat price. Component prices are based on prices for the selected bulk products collected through the AMS-administered DPMRP, which collects weekly wholesale prices for four manufactured dairy products in various bulk package sizes (cheese, butter, NFDM, and dry whey powder). Weekly average prices for cheddar cheese (the weighted average of block and barrel prices), butter, NFDM, and dry whey are reported in the NDPSR.1 Butterfat prices for milk used in products in each of the four classes is determined through surveyed butter prices. Protein and other solids prices for milk used in Class III products are derived from surveyed cheese and dry whey prices, respectively. The nonfat solids price for milk used in Class II and Class IV products is calculated from surveyed NFDM product prices. The butterfat, protein, other solids, and nonfat solids prices are derived through the weighted average monthly NDPSR survey prices of each corresponding commodity, minus a manufacturing (make) allowance, multiplied by a yield factor. The make allowance factor represents the fixed and variable processing costs manufacturers incur in making raw milk into one pound of product. The yield factor represents the approximate quantity of product that can be made from a cwt of milk received at the plant, assuming a certain component composition of the milk and the final products. Among other factors used to determine yield, the milk received at a plant is adjusted to reflect farm-to-plant shrinkage compared to farm weights. This relates to the basic question of how much milk is required to make a pound of product. This product pricing system was implemented as a part of Order Reform on January 1, 2000. 64 FR 70868 (Dec. 17, 1999). While individual pieces of the price formulas have been updated occasionally since that time, this proceeding is the first time since their adoption that the Department is considering a comprehensive update to all four classified price formulas 68 FR 7063 (Feb. 12, 2003); 71 FR 78333 (Dec. 29, 2006); 78 FR 24334 (Apr. 25, 2013). The objective of this proceeding is to evaluate whether market or other economic conditions have changed and if the price formulas need to be updated to reflect current conditions, including Notice is taken of the Notice of Equivalent Price Series: 77 FR 22282 (April 18, 2012). The National Dairy Product Sales Report was deemed as equivalent to the price series previously released by the National Agricultural Statistics Service. PO 00000 1 Official Frm 00037 Fmt 4701 Sfmt 4702 57615 economic and technological factors related to processing, transportation, and other relevant market functions or services. Twenty-one proposals, divided into five main topic areas, were considered: milk composition factors— two proposals; surveyed commodity products—four proposals; Class III and Class IV formula factors—six proposals; base Class I skim milk price (often referred to as the ‘‘higher of’’)—six proposals; and Class I and Class II differentials—three proposals. The record supports the findings that some price formula factors should be amended to reflect current market conditions that were evidenced in this proceeding. The recommended changes, which are discussed in detail below, include: 1. Milk Composition Factors: Update the factors to 3.3 percent true protein, 6 percent other solids, and 9.3 percent nonfat solids. 2. Surveyed Commodity Products: Remove 500-pound barrel cheddar cheese prices from the DPMRP survey and rely solely on the 40-pound block cheddar cheese price to determine the monthly average cheese price used in the formulas. 3. Class III and Class IV Formula Factors: a. Update the manufacturing allowances as follows: i. Cheese: $0.2504; ii. Butter: $0.2257; iii. NFDM: $0.2268; and iv. Dry Whey: $0.2653. b. Update the butterfat recovery factor to 91 percent. 4. Base Class I Skim Milk Price: updating the formula as follows: a. Class I milk used in ESL products: The average of the advanced Class III and Class IV skim milk prices, plus a rolling monthly adjuster. The rolling monthly adjuster would be equal to the average of the difference between the higher-of and the average-of, for 24 months, with a 12-month implementation lag period. b. Milk used in all other Class I products: the higher-of the advanced Class III or Class IV skim milk prices for the month. 5. Class I and Class II differentials: Update the Class I differentials to generally reflect the United States Dairy Sector Simulator May results contained in evidence. Milk Composition Factors Milk composition factors contained in the product price formulas represent assumed component levels of skim milk on a cwt basis. These factors were adopted on January 1, 2000. Currently, the formulas assume 3.1 pounds of true E:\FR\FM\15JYP3.SGM 15JYP3 ddrumheller on DSK120RN23PROD with PROPOSALS3 57616 Federal Register / Vol. 89, No. 135 / Monday, July 15, 2024 / Proposed Rules protein, 5.9 pounds of other solids, and 9 pounds of nonfat solids in 100 pounds of skim milk. The level of assumed components in milk ultimately impacts minimum regulated prices paid by handlers, although the impact varies since there are variations in how components are used to value milk between FMMOs. All handlers regulated by the Arizona, Southeast, Florida, and Appalachian FMMOs pay for milk used in all four classes on a volume (cwt) basis, regardless of the components contained in the skim milk (referred to as skim/fat pricing). Simply put, handlers pay for the pounds of skim and pounds of butterfat in milk they purchase from dairy farmers. In the remaining seven FMMOs, handlers pay for manufacturing milk based on the actual pounds of components in milk they purchase (referred to as multiple component pricing). Milk used in fluid milk products (Class I) is paid based on the skim and butterfat pounds delivered, regardless of the components contained in the milk. Changing the milk component factors primarily impacts Class I minimum prices paid by fluid milk processors in all 11 FMMOs, and to a lesser extent manufacturing handlers purchasing milk for Class II, III, and IV uses on skim/fat FMMOs. Proponents of changing the milk component factors argue actual average milk component levels in farm milk have increased since January 1, 2000, and milk should be priced to buyers to reflect the value of those components. NMPF proposes (Proposal 1) component levels at observed 2022 levels (3.39 true protein, 6.02 other solids, and 9.41 pounds of nonfat solids). NMPF also proposes an updated methodology whereby components could be updated once every three years, without a rulemaking proceeding, if the nonfat solids levels in FMMO producer skim milk changed by 0.07 percentage points or more from the level stated in regulation. In its proposal, NAJ seeks an automatic annual update, with no change threshold to be met (Proposal 2). Both NMPF and NAJ argue that because component levels in producer milk have risen but are still accounted for in the price formulas at 2000 levels, the difference between Class I prices and manufacturing milk prices (Class III and IV) has narrowed. Put another way, milk used in manufacturing in the multiple component FMMOs is paid based on actual component levels, so producers are paid for all component pounds delivered to manufacturing plants (approximately 85 percent of FMMO manufacturing milk is pooled on the 7 multiple component orders). VerDate Sep<11>2014 19:40 Jul 12, 2024 Jkt 262001 Consequently, payments for milk delivered to manufacturing plants increase as component levels delivered to those plants increase. However, milk delivered to Class I plants is paid on a fat/skim basis whose formulas contain the assumed component levels at issue in this proceeding. Thus, as milk component levels have risen, Class I plants have continued to pay for milk based on the static component levels contained in the formulas. Proponents argue the result has been a narrowing between fluid and manufacturing prices causing marketing challenges, especially in the milk deficit markets in the southeastern region that must compete to procure a supplemental Class I milk supply with manufacturing milk demands in multiple component orders. Proponents also stressed the narrowing of the difference between Class I and manufacturing milk prices increases the occurrence of price inversions and depooling. The record of this proceeding reveals FMMO component levels in raw milk have increased since January 1, 2000, most notably since the mid-2010s. Milk component data is not available before 2000 because the prior methodology for pricing milk did not require milk composition-level assumptions. The Order Reform decision did not address specifically why these assumptions were adopted. However, since component levels observed in FMMO skim milk in 2000 were 3.1 percent true protein, 5.9 percent other solids, and 9.0 percent nonfat solids, it is reasonable to assume they were set at those levels because at the time they were representative of all pooled milk in the FMMO system. Evidence reveals that from 2000, component levels were relatively flat with only a slight increase through the mid-2010s. Beginning in 2016, observed data show a marked increase in component levels. The data also clearly show component levels throughout the country vary by season, with levels lower in the spring and summer, and higher in the fall and winter. Hearing testimony revealed numerous reasons for the recently observed milk component increases, including genomics in dairy cattle selection and breeding, higher cull rates of less productive cattle, and improvements in cattle nutrition and animal husbandry. Opponents of increasing component levels, primarily fluid milk handlers, argued three general reasons an increase is not justified. First, fluid milk handlers, who would be primarily impacted by these proposals, do not receive producer milk at the proposed component levels. They contend higher PO 00000 Frm 00038 Fmt 4701 Sfmt 4702 component milk is delivered to manufacturing plants, leaving the lower component milk for fluid milk handlers. Second, fluid milk handlers testified they receive no additional market revenue for higher components in milk because their sales are on a volume basis (i.e., gallons) not on the skim component levels in their fluid milk products. Therefore, they argued, they should not be charged for additional skim components that have no additional market value in their products. Third, opponents argued updating component levels also would unduly harm manufacturing handlers in the skim/fat orders who pay for milk based on a skim/fat basis, as explained earlier. They argue the proposed component levels are higher than those delivered to plants, both fluid and manufacturing, in the four skim/fat orders. An evaluation of the record evidence for each of these claims follows. First, opponents of increasing component levels argued fluid milk handlers do not receive milk containing the levels of components proposed. Testimony from fluid milk handlers during the hearing was mixed. Some fluid milk handlers would not reveal component levels for the Department to consider, citing confidentiality concerns. Other fluid handlers, who did offer data, showed a range of average component levels in skim milk received: true protein ranged from 3.03 to 3.63 and other solids ranged from 5.83 to 6.10. Many producers who testified also discussed the rise in their farm component levels because of the decisions and investments made at the farm. While some producers could cite data, for example true protein tests ranged from 3.12 to 3.83, many who could not cite specifics did discuss a general increase in their component levels. Second, opponents argued that because component levels have no bearing on the volume of milk sold, they should not be required to pay higher Class I prices for higher components that provide no additional market revenue. The record clearly shows fluid milk handlers sell fluid milk products based on volume, which is why prices are based on skim and butterfat pounds purchased. Proponents of changing the composition levels provided anecdotal evidence, such as marketing claims and product description, to assert fluid milk products can garner additional market revenue for higher component levels. However, no data were provided to prove there is a general industryaccepted norm or practice that allows handlers to recover a value for nonfat E:\FR\FM\15JYP3.SGM 15JYP3 ddrumheller on DSK120RN23PROD with PROPOSALS3 Federal Register / Vol. 89, No. 135 / Monday, July 15, 2024 / Proposed Rules milk solids in excess of the nutrition label claim. Finally, opponents claimed that increasing component levels in minimum price calculations would unduly harm manufacturing handlers in the skim/fat orders. The record contains actual component tests of producer milk in the multiple component pricing orders because producers in those orders are paid based on the pounds of components sold. However, component data for the four skim/fat orders could only be estimated as producers in those orders are paid based on the volume of skim milk and butterfat produced, not component levels. Record evidence contains USDA estimated data showing component levels in milk have consistently been above the current assumptions in all four fat/skim orders. Estimated protein and other solids levels of skim milk pooled in the three southeastern orders have been above the assumed levels in most months since January 2018, and below the levels contained in Proposal 1 in all months. Estimated protein and other solids levels of skim milk pooled in the Arizona Order have been above the assumed levels in all months since January 2018, and above the levels contained in Proposal 1 some months. Dairy Herd Improvement Association component data offered at the hearing, although by no means all encompassing, is consistent with estimated data provided by USDA. In the four skim/fat orders, average protein levels from 2020–2022 were above the current formula assumptions but below those contained in Proposal 1. This decision considers how the price formulas should be updated to reflect current market conditions. Milk composition levels are only one piece of the formulas being addressed. However, as with all the factors adopted at the time of Order Reform and updated through subsequent rulemakings, the question before the Department is what level is representative of current supply and demand conditions as required by the AMAA. Some parties argued milk composition factors should not be changed because not all milk would meet the levels proposed by NMPF. Price formulas in the FMMO system have never had factors that assumed all milk was identical. Since FMMOs utilize a national pricing system, price formulas have always relied on averages to set levels representative of market conditions. The nature of an average means some milk will fall above or below the specified level. This was true with the milk composition levels that were adopted in 2000, and similar to other factors, such as make allowances, VerDate Sep<11>2014 19:40 Jul 12, 2024 Jkt 262001 survey commodity prices, and butterfat recovery percentages. With sufficient data showing increasing milk composition levels, the record supports updating the formulas to reflect current market conditions. The question becomes what levels best represent the entire U.S. market. The review of record evidence described earlier reveals many factors should be considered: the average component levels of pooled producer milk, the variability in milk components regionally and seasonally, the discrepancy in milk component levels received by fluid milk handlers compared to manufacturing handlers, and the variability of component levels from farm to farm. These factors were not specifically mentioned as being considered in the Order Reform decision when the current levels were set. However, given the evolution of the dairy industry in the past 24 years, they are relevant for consideration in this proceeding. Fluid milk handlers argued the component levels should not be increased because Class I plants do not receive component levels as high as proposed. While the record does not contain a comprehensive data set of milk component levels received at fluid milk plants, it does contain data on milk component levels of all milk pooled on the FMMOs, as well as evidence submitted by producers on the component levels in their milk, and information from fluid milk handlers on the component levels they receive. Importantly, many fluid plant operators testified the milk components received at their respective plants are higher than currently assumed in the formulas, but less than what has been proposed. While this decision finds milk composition levels should be increased, the levels in Proposal 1 are not appropriate, assumed component levels applicable to the raw milk whose price is impacted by these assumptions. Given the variability and seasonality of component level information contained in the record, this decision finds an average of component levels in skim milk over a recent time period appropriate. Based on evidence that component levels have been increasing at a more rapid rate since the mid2010s, this decision finds the average component levels from 2016–2022 the most appropriate time period to represent producer milk currently priced on a skim/fat basis. Accordingly, this decision recommends the following: 3.3 percent true protein, 6.0 percent other solids, and 9.3 percent nonfat solids. Estimated data for the three southeastern orders show PO 00000 Frm 00039 Fmt 4701 Sfmt 4702 57617 component levels exceeding these proposed levels in recent months, thus addressing opponents’ claims that manufacturing handlers in the southeastern orders receive lower component milk than other FMMOs. The recommendation balances the cumulative body of evidence and testimony presented at the hearing. During the hearing and in their posthearing brief, Edge proposed, in addition to updating skim component levels, that the assumed butterfat level of 3.5 percent should also be updated to facilitate risk management. Updating butterfat levels is outside the scope of this proceeding as no proposal contained in the hearing notice offered such a change. As risk management programs utilizing FMMO prices are maintained in the private sector, such programs can adapt as necessary to facilitate the use of updated price formulas. NMPF and NAJ also proposed alternative updating and implementation schedules for the milk composition levels. NMPF proposed the composition levels be updated once every three years, but only if there was a 0.07 percent or greater change in nonfat solids levels, compared to what was in regulation. For example, if Proposal 1 was adopted, milk composition factors could only be updated three years later if the average nonfat solids levels in pooled FMMO milk was 9.48 percent (9.41 × 1.007). NAJ proposed the levels be updated annually, regardless of the magnitude of increase. Both proponents requested a 12-month implementation lag because of the implications such a change could have on producer risk management positions. Edge proposed a longer implementation lag of 151⁄2 months because of risk management positions tied to the DRP. The development and use of dairy risk management tools is relatively new, and the Department has never before been asked to delay implementation of FMMO changes in consideration of risk management. However, testimony made clear producers’ concern regarding the negative financial impact that could occur if regulatory changes did not account for the growing use of risk management tools. Producers testified to the use of numerous market-based risk management tools, including the CME futures and options, and the two USDARisk Management Agency approved insurance products, DRP and Livestock Gross Margin—Dairy (LGM-Dairy). Use of risk management tools by producers testifying at the hearing varied sharply, with some not using any tools, some E:\FR\FM\15JYP3.SGM 15JYP3 ddrumheller on DSK120RN23PROD with PROPOSALS3 57618 Federal Register / Vol. 89, No. 135 / Monday, July 15, 2024 / Proposed Rules only enrolling in the DMC program, and fewer using DRP insurance or the CME hedging tools. The record reflects 32 percent of U.S. milk production was covered in 2022 under DRP, and with a much smaller use of LGM-Dairy. Producers testifying were particularly concerned with the implementation schedule for the initial change, as risk management positions could be as far out as 18 to 24 months. Evidence shows that from 2018 through 2022, almost all CME contracts, 97.34 percent, expired within 12 months. According to producers, any change to the milk composition level assumptions during the contract period could result in basis risk to producers not covered by the hedge. A CME witness testified they saw a 54 percent drop in contracts with expiration dates over 360 days in 2022 as compared to 2018, which the CME attributed to the industry already anticipating a regulatory change based on the outcome of this hearing. Record evidence depicted the concern regulatory changes could have on risk management tools, particularly the impact on the usability of these tools during a transition period. Risk management usage must be considered against the interest of other producers who do not use risk management tools, since it would delay recognition of the higher components in producer milk. While risk management use is not a factor in determining what the milk component levels should be, it is appropriate when determining an implementation timeframe to attempt to mitigate potential financial harm to producers who utilize risk management tools. Accordingly, this decision finds a 12-month implementation lag appropriate, beginning when other changes from this proceeding become effective. This delayed implementation should cover hedge positions for the vast majority of producers utilizing these tools. In addition, as this recommended decision indicates the Department’s initial position, producers making risk management decisions are aware of the potential changes, should they be approved by producers. Lastly, this decision does not support an automatic update of the milk composition levels, as contained in Proposal 1 or Proposal 2. It is clear from the record that many factors, as described earlier, should be considered when making a change. Those factors can only be considered through the course of a rulemaking. Surveyed Commodity Products USDA administers the DPMRP to gather weekly wholesale prices of four manufactured dairy products. Average VerDate Sep<11>2014 19:40 Jul 12, 2024 Jkt 262001 survey prices are released weekly in the NDPSR, and monthly average commodity prices are released by AMS on or before the 5th of the following month. The monthly product prices are then used in the FMMO price formulas to determine component values in raw milk. The same four commodities have been surveyed since 2000. NASS administered the survey from 2000 to 2012; submitting data was voluntary until 2008, and then mandatory and verified from 2008 to 2012. AMS has administered the survey since 2012 with the data being mandatory and audited 73 FR 34175 (June 17, 2008). This proceeding is considering four proposals that would add or remove a variety of products in the DPMRP survey. Because FMMOs enforce minimum raw milk pricing, the overarching question for the Department in this decision is whether the current surveyed commodities are an appropriate representation of market clearing, wholesale commodity products whose prices provide an accurate reflection of the minimum value of raw milk. DPMRP currently surveys cheddar cheese, butter, nonfat dry milk, and dry whey. Proposals submitted in this proceeding offer changes to the cheese survey (Proposals 3, 4, and 6) and changes to the butter survey (Proposal 5). No proposals seek changes to the NFDM or dry whey surveys. Cheese Survey Currently, FMMOs utilize a weighted average DPMRP survey price of 40-lb cheddar cheese blocks and 500-lb cheddar cheese barrels to determine the protein price used in the Class III price formula. Although both products meet the definition of cheddar cheese, the different package styles reflect that their intended uses are different. Cheddar cheese barrels are intended to be further processed into processed cheeses. Cheddar cheese blocks can also be used for that purpose, but they are produced with the intention of use in a natural cheese with minimal further processing (for example cutting into consumer packages or shredding.) DPMRP weights the cheese price by the volume of surveyed blocks and barrels, which according to record evidence, is typically around 50 percent blocks and 50 percent barrels. Proposal 3 seeks to drop barrels from the survey and solely rely on a survey of 40-lb blocks. Proponents offered a few reasons for dropping barrels. First, they believe barrels are overrepresented in the survey because the weighting methodology is based on the production percentages included in the survey and not actual production across the entire PO 00000 Frm 00040 Fmt 4701 Sfmt 4702 cheddar cheese market. Proponents believe the percentage of cheddar cheese manufactured and priced off 40pound block prices is significantly higher than 50 percent of the U.S. natural cheese market. Second, proponents argue that having what amounts to two products in the survey results in an average price that is not representative of either blocks or barrels. They say this has been particularly evident since 2017, when market prices between blocks and barrels began to significantly diverge, both in magnitude and direction, from the historical average difference of $0.03. Barrel prices were even occasionally higher than blocks (historically, block prices have been higher than barrel prices). Proponents argued that when barrel prices have been well below the assumed $0.03 difference, the current weighting methodology results in a lower average cheddar price than would have been if the two prices were weighted in accordance with actual, total production of each product. Members of NMPF testified a block-only survey would contain adequate survey volume to be representative of the cheese market. Opponents of dropping barrels asserted: (1) it is not appropriate to eliminate approximately half of the current cheese survey volume; (2) barrels are a market-clearing product and should continue to be included in the survey; and (3) blocks and barrels together represent the national cheese market as they are both commodity products with different commercial uses. Opponents also disputed the claim that most cheese is priced off the block market. During the hearing, Edge offered an alternative that would reweight the survey average price based on the U.S. production volume of blocks and barrels as determined by NASS, instead of volume from respondents to the AMS survey. They opined barrels should not be removed from the survey because in months where the barrel price exceeded blocks, the Class III price would have been lower than it otherwise was, and consequently producer revenue would be less. Instead, Edge argued a better solution to the issue of overweighting barrels was to use a weighting methodology reflective of actual U.S. cheddar cheese production. Proposal 4, submitted by AFBF, seeks to add 640-lb blocks of cheddar cheese to the survey. This type of cheddar cheese is made using the same process as 40-lb blocks and differs only in the final container for the cheese curd. Both sizes represent an intermediate product requiring further processing before it E:\FR\FM\15JYP3.SGM 15JYP3 ddrumheller on DSK120RN23PROD with PROPOSALS3 Federal Register / Vol. 89, No. 135 / Monday, July 15, 2024 / Proposed Rules can be consumed. The proponent’s primary justification is the additional survey volume that would be added. The AFBF agreed with NMPF that barrels are overrepresented in the survey, and their proposed solution is to add survey volume through the addition of 640-lb blocks. This argument implicitly assumes the accuracy of milk valuation is improved when a larger volume of cheese is surveyed. Opponents to adding 640-lb blocks argued: (1) most 640-lb blocks are already priced off 40-lb blocks, so their inclusion would not enhance price discovery; and (2) 640-lb blocks are typically customer-specific which would exclude those blocks from the survey. The opposition is premised on the additional survey volume not adding new price information either because the prices are already reflected in the 40-pound block price, or because the customized products are valueadded and should not be included for minimum pricing. Proposal 6, offered by CDC, seeks to add mozzarella cheese to the survey. Proponents argue mozzarella is the largest volume of cheese produced in the U.S., and revenue from mozzarella products should be captured in the survey and ultimately reflected in prices paid by Class III handlers. Further, proponents argued a higher Class III price should be reflected in producer prices to offset increasing farm production costs. Opponents argued there is no one standard of identity for mozzarella cheese, making it difficult to delineate what mozzarella product would have a substantial volume of reportable sales to represent the market value of mozzarella cheese. In addition, opponents stated no manufacturing cost data is available to be evaluated for inclusion in the manufacturing allowance calculation for cheese. Lastly, opponents asserted mozzarella is not a market-clearing product and therefore should not be considered when determining minimum prices. While there were three proposals offering changes to the cheese survey, two of them lack data and evidence to support adoption. First, the addition of mozzarella is not supported by the record. The record reveals multiple standards for different mozzarella cheese products, but no evidence was presented to show which of those would be appropriate to survey as an improvement in finding a minimum value for milk. Furthermore, no evidence was presented on what would define a commodity mozzarella product, rather than a value-added product, which is a general rule for inclusion in VerDate Sep<11>2014 19:40 Jul 12, 2024 Jkt 262001 the DPMRP. Proponents offered information on mozzarella in consumer sized packages (e.g., mozzarella sticks), but little to no evidence on what should be considered a commodity mozzarella product. Evidence shows that a majority of what is considered mozzarella production is driven by customer specification and would not meet any of the standards of identities offered, indicating it would be considered a value-added product and excluded from the survey. Lastly, the record indicates mozzarella products are already typically priced based on the 40-pound cheddar cheese block price. Therefore, adoption of Proposal 6 would only result in significant costs associated with determining a commodity mozzarella product to be surveyed and the ongoing cost of surveying said product, without adding measurable new price information to the DPMRP cheese survey. Accordingly, Proposal 6 is denied. The record lacks evidence to support adoption of Proposal 4, adding 640-lb blocks. The record reflects widespread industry consensus that 640-lb blocks are typically priced off 40-lb blocks. Because of this price relationship, numerous industry witnesses testified that no new price information would be captured by including 640-lb blocks. In addition, several witnesses testified 640lb blocks are largely made-to-order on long-term price contracts which would exclude the sales from the survey because of these marketing characteristics. No data was presented to evaluate whether any additional price information gained through inclusion of 640-lb blocks would offset the burden (lack of efficiency) to both the industry and USDA for their inclusion. Accordingly, Proposal 4 is denied. The Department considered the idea presented by Edge to reweight blocks and barrels in the survey to reflect total U.S. cheddar cheese production volumes by packaging type, instead of survey volumes. However, the record lacks evidence regarding the market dynamics of barrel production to analyze how this idea would be implemented, or the impact it may have on prices, to evaluate whether it would result in a more appropriate cheese price. In addition, as is made clear below, this decision finds that surveying two cheese products is no longer an appropriate method for providing orderly marketing in today’s marketplace, rendering further discussion of a more proper weighting methodology unnecessary. What is left to consider is whether 500-lb barrels should remain in the survey. When determining which PO 00000 Frm 00041 Fmt 4701 Sfmt 4702 57619 products are appropriate to be included in surveys, the Order Reform Final Decision is instructive. As described in the decision, ‘‘The importance of using minimum prices that are marketclearing for milk used to make cheese and butter/nonfat dry milk cannot be overstated. The prices for milk used in these products must reflect supply and demand and must not exceed a level that would require handlers to pay more for milk than needed to clear the market and make a profit.’’ 64 FR 16026, 16094 (April 2, 1999). To effectuate that objective, FMMOs use survey prices of market-clearing commodity products. In the Order Reform decision, both block and barrel cheese were included in the survey to increase the sample size and give a better representation of the cheese market. Since Order Reform was implemented, an evaluation of which products should be included in the cheese survey has occurred twice. In 2000, shortly after implementation of Order Reform, the Department considered both the addition and subtraction of cheese products into the survey, which at that time was administered by the NASS. 65 FR 20094 (April 14, 2000) In 2007, the Department again considered changing the products in the cheese survey, including the removal of 500-lb cheddar cheese barrels. 72 FR 6179 (Feb. 9, 2007) In both proceedings, the Department maintained that inclusion of both 40-lb blocks and 500-lb barrels was representative of the cheese market at the time. While not contained in the hearing notice of the 2000 proceeding, there was testimony at the hearing for incorporation of other cheeses in addition to cheddar. The idea was denied because ‘‘If the survey included other descriptions of cheddar and other types of cheese, such as mozzarella, it would not be possible to consider the reported price as representative of the value of any particular product.’’ 67 FR 67906, 67926 (Nov. 7, 2002) This reasoning illustrates an important consideration of which products should be contained in the survey; products whose resulting prices are representative of a distinct product. For all other product pricing formulas (butter, nonfat dry milk, and dry whey), DPMRP only surveys one product. The butter survey collects prices of 80 percent salted Grade AA butter, the NFDM survey collects prices of USDA Extra Grade NFDM, and the dry whey survey collects prices for USDA Extra Grade dry whey. While all three of these products can be in varying bulk packaging sizes as specified in regulation, the product itself is E:\FR\FM\15JYP3.SGM 15JYP3 ddrumheller on DSK120RN23PROD with PROPOSALS3 57620 Federal Register / Vol. 89, No. 135 / Monday, July 15, 2024 / Proposed Rules essentially the same. 7 CFR 1170.8 Consequently, the resulting survey prices represent single, distinct products. The same cannot be said of the two cheddar cheese products surveyed. Forty-pound block cheddar cheese is typically colored, and primarily sent for further processing into consumer type packages such as ‘‘cut and wrap’’ and shredded products. Barrel cheese, on the other hand, is typically white (uncolored) and used primarily for processed cheese and cheese-flavored products. The hearing record demonstrates the two products are not interchangeable but rather are produced for two distinctly different uses which have their own supply and demand factors. These fundamental qualities have not significantly changed since Order Reform. At the time of Order Reform, and during the subsequent two rulemakings considering changes to the cheese survey, the prices of blocks and barrels were relatively close, and it was determined the additional volume added with the inclusion of barrels was a benefit to orderly marketing as it ensured a robust survey sample. Testimony and evidence presented showed the historical price alignment of the two products, estimated at $0.03 per pound, until 2017. Proponents argued the market changed significantly in 2017 when there was a dramatic increase in price volatility both within each product and in the relationship between the two products. To determine statistical validity of that claim, the differences in the monthly average block and barrel prices from 2001–2023 were analyzed to identify breaks in the structure of the block-barrel spread. The analysis found December 2016 to be a statistically significant month, indicating the period between 2001 to 2016 and 2017 to 2023 were statistically different in terms of the block-barrel spread volatility. Historically, prices for blocks and barrels were similarly priced. From 2001–2016, the blockbarrel spread averaged $0.01 per pound, while from 2017–2023 the spread significantly increased to $0.115 per pound. When surveying prices of two products that recently are so divergent, the resulting average cheese price does not represent either of the products surveyed. For example, in October 2020, cheddar block prices averaged $2.5692 per pound and cheddar barrel prices averaged $0.6052 per pound lower at $1.9640 per pound. The weighted average cheese price for October used to compute FMMO component prices was $2.2921, a price reflecting neither of the two survey products. Accordingly, after VerDate Sep<11>2014 19:40 Jul 12, 2024 Jkt 262001 careful analysis of the record, this decision finds the DPMRP cheese survey should only include 40-lb cheddar cheese blocks. Evidence reveals a clear and statistically significant shift in the cheddar markets occurred in 2017, which witness testimony attributed to a number of market factors including plant investments and increased production of white whey. As a result, inclusion of both blocks and barrels in the cheese survey has resulted in average cheese prices used in FMMO formulas that are not representative of any one cheese product. Therefore, this decision recommends adoption of Proposal 3. There was significant testimony regarding how cheddar barrel makers would be impacted if 500-lb barrels were no longer surveyed. It was clear there was no industry consensus, not even between barrel makers, on the impact. What is paramount to any rulemaking is to ensure FMMO provisions provide for orderly marketing conditions, as required by the AMAA. The ultimate consideration is which set of bulk, market-clearing, commodity type dairy products provide the most accurate and efficient means of determining the minimum value of milk components. One facet of this is to ensure prices used in the formula best represent the fundamental products selected for their purpose. As described above, that goal is not being met by using both blocks and barrels in the survey. One concern expressed by some barrel cheese manufacturers is that the Class III price resulting from a block-only calculation would often be too high to ensure a profitable return to barrel cheese makers. Multiple considerations are worth noting. One, there are numerous styles of cheese represented in Class III. Manufacturers of each have no guarantees on their net returns, and, hence, manage their business by taking minimum pricing into account. To that end, there are many steps remaining in this rulemaking process, including publication of a final decision, producer referendum, and if passed, an implementation period. These steps should allow barrel manufacturers ample time to determine if changes are needed in their business practices to adjust to the prices that would result from this recommended price survey. As FMMOs only enforce minimum regulated prices on pooled milk, it should not be overlooked that barrel manufacturers choose whether to pool milk subject to minimum prices. PO 00000 Frm 00042 Fmt 4701 Sfmt 4702 Butter Survey Currently, FMMOs utilize the monthly average DPMRP survey price of 80 percent salted Grade AA butter in 25kilogram and 68-pound boxes to determine the butterfat price used in all 4 classified pricing formulas. Proposal 5 seeks to add unsalted butter to the survey. Proponents argue the volume of U.S. butter production captured by the survey has been decreasing, and adding unsalted butter would increase the sample size and yield more robust survey results. Testimony in opposition to Proposal 5 asserted the production of unsalted butter is mostly manufactured to a particular customer order. Because the lack of salt results in a shorter shelf life, unsalted butter is generally not manufactured unless its sale is imminent. On the other hand, because salted butter can be stored, when milk needs to clear the market and butter manufacturers lack a buyer, they will make salted butter to store and sell later. Opponents also noted unsalted butter is typically exported, often facilitated through premium-assisted sales, rendering those sales unreportable. The record lacks evidence to support adoption of Proposal 5. Although data was entered showing the amount of unsalted butter graded by the USDA Dairy Grading Program tripled between 2005 and 2022, the USDA butter grading program is voluntary; hence, the data does not give a complete picture of the U.S. butter market. Furthermore, there was no indication regarding what percentage of the graded butter volume would be reportable given testimony noting the structure of the unsalted butter market would likely make a large share of it nonreportable. No data was presented to evaluate whether any additional price information gained through inclusion of unsalted butter would outweigh the burden to both the industry and USDA for its inclusion. In fact, the record demonstrates that unsalted butter is not a market clearing product given its shorter shelf-life and on-demand production. The record evidence supports salted butter as the market clearing butter product and continuation as the only butter product in the survey. In addition, as discussed in evaluating the cheese survey, having two commodity products surveyed (such as blocks and barrels) can have the unintended consequence of resulting in a component price that does not represent either product produced. As no price information was entered into evidence to evaluate how salted and unsalted butter prices compare, the Department E:\FR\FM\15JYP3.SGM 15JYP3 Federal Register / Vol. 89, No. 135 / Monday, July 15, 2024 / Proposed Rules could not determine if a similar situation might occur by adding unsalted butter to the survey. Accordingly, Proposal 5 is denied. ddrumheller on DSK120RN23PROD with PROPOSALS3 Class III and Class IV Formula Factors The Class III and IV formula factors include four distinct elements— manufacturing (make) allowance, butterfat recovery, farm-to-plant shrinkage, and nonfat solids yield. a. Make Allowances Make allowances represent the costs of converting raw milk into the four manufactured dairy products surveyed by USDA. The current make allowance levels were determined through a 2007 rulemaking that became effective October 1, 2008, and are as follows ($/ per pound): cheese—0.2003; butter— 0.1715; NFDM—0.1678; and dry whey— 0.1991. The 2007 rulemaking used an average of two surveys: a voluntary, unaudited 2006 nationwide cost survey conducted by the Cornell Program on Dairy Markets and Policy (CPDMP), and a mandatory, audited 2006 cost survey of plants located in California conducted by the CDFA. This proceeding must determine whether manufacturing costs have increased such that a change from the current levels is warranted, and if so, what are appropriate levels. Four manufacturing cost data sets were entered into the record for consideration in this proceeding. The first was conducted by the University of Wisconsin, on behalf of USDA, and was a voluntary survey of manufacturing plants throughout the U.S. (2021 survey). This survey was similar to the 2006 CPDMP survey used to determine current make allowances, as the primary researcher authored both. The 2021 survey collected cost information provided from manufacturing plants of cheese (10 plants), butter (12 plants), NFDM (27 plants) and dry whey (8 plants). Annual data submitted by plants primarily represented calendar year 2019, and included labor, utilities, non-labor processing, packaging, general and administrative, and return on investment cost categories. The 2021 survey results were presented as total averages, and high and low-cost plant averages. The 2021 survey methodology was similar to the 2006 study, except for the allocation of non-allocated costs. Some fixed or overhead costs could not be allocated directly. Some costs were inherently direct costs but were not collected in a manner that allowed them to be assigned to a particular processing activity or product. When that occurred in previous studies, unallocated costs VerDate Sep<11>2014 19:40 Jul 12, 2024 Jkt 262001 were allocated on a solids basis, which testimony revealed to be a common practice, according to some manufacturers. In some facilities making multiple products, such as butter and powder plants, not all plant operators had the infrastructure to allocate costs to the different products. A common example was plant utilities wherein the plant only had a single electric meter. If an operator utilized 70 percent of the solids received at the plant in butter, then 70 percent of the unallocated costs (e.g., electricity) were allocated to butter production, and the remaining 30 percent were allocated to NFDM production. This allocation method was referred to by the study author as the ‘‘non-transformation’’ method. In the 2021 survey, the author used what they believed to be a better method for addressing costs the manufacturer could not directly allocate. Unallocated costs were allocated based on an estimation of the degree of processing transformation the raw milk underwent to transform into a manufactured product. On a scale from 1 to 10, products with minimum processing (liquid whey) were assigned a 1, while products with a high degree of transformation (whey protein concentrate) were assigned a 10. The survey author argued this somewhat subjective and ordinal measure of costs could provide a more logical allocation of certain costs that were inarguably not properly attributed through the nontransformation cost allocation method. The most obvious example was the highly energy consuming process of drying for NFDM powders. For example, operating a milk dryer requires significant energy, resulting in an assumption that it was more appropriate for a higher percentage of the plant’s energy costs to be attributed to its powder production. A second data set was a survey conducted by the same author, administered on behalf of IDFA, seeking to capture more current costs and increase the number of respondents. This survey, referred to as the 2023 survey, was similar to the 2021 survey except for two elements. First, the plants that voluntarily submitted data were different in number and type: 18 cheese, 13 butter, 15 NFDM, and 9 dry whey plants participated. The survey author explained that while the number of participating plants were similar for butter and whey across both surveys, the structure of the plants was noticeably different. Consequently, most of the variability in average costs between the 2021 and 2023 surveys is attributed to the plant sample, rather than actual cost increases over time. For PO 00000 Frm 00043 Fmt 4701 Sfmt 4702 57621 example, the 2021 butter plants surveyed tended to be larger than the 2023 butter plants surveyed, accounting for a significant portion of the cost difference between the two surveys. Some witnesses at hearing also noted the 2023 survey captured 2022 costs, a time of historically high inflation which has since moderated. The second notable difference was the 2023 survey used the nontransformation methodology of allocating unallocated costs on a solids basis. The survey author indicated mixed industry feedback on the transformation allocation methodology used in the 2021 survey, as many participants stated allocating costs on a solids basis is standard practice. To facilitate comparison of the two surveys the author also presented updated 2021 survey results using the nontransformation allocation methodology. In support of a separate data set, mandatory and audited 2004–2016 California manufacturing cost survey results, conducted by the CDFA, were entered. These surveys formed the historical data used to forecast current costs in the CA Forecast described below. The 2006 CDFA study was used by USDA when determining the current FMMO make allowances. The fourth data set, entered on behalf of IDFA, was a result of a statistical model that used data from the 2004– 2016 California manufacturing cost surveys and other known input prices and productivity data (for example, the producer price index) to project future California manufacturing costs, referred to hereinafter as the CA Forecast. The study author testified the model predictions were a better estimate of costs than a simple trend analysis since they accounted for the impacts of other factors, such as accelerating inflation, that are known to describe changes in manufacturing costs in California. Unlike the 2021 and 2023 surveys which evaluated six cost categories (processing labor, utilities, packaging, non-labor or utilities processing, general and administrative, and return on investment), the CA Forecast only estimated three cost categories (labor, utility, and other). Other costs were defined as the remaining costs after labor and utility costs were deducted. Inasmuch as the CDFA results were used by USDA when previously amending make allowances, proponents argued this statistical estimation of what CA manufacturing costs might have been for 2022 would be a helpful indicator to validate other manufacturing cost data entered into the record. E:\FR\FM\15JYP3.SGM 15JYP3 57622 Federal Register / Vol. 89, No. 135 / Monday, July 15, 2024 / Proposed Rules These data sets were the basis of the manufacturing allowance levels proposed by stakeholders at the hearing. Two sets of make allowance levels were offered ($/pound): Proposal 7 Product IDFA/ WCMA year 1 NMPF ddrumheller on DSK120RN23PROD with PROPOSALS3 Cheese ..................................................................................................... Dry Whey ................................................................................................. NFDM ....................................................................................................... Butter ....................................................................................................... NMPF asserted that their proposed levels take a balanced approach between recognizing increased manufacturing costs and the impact to producers if there is a significant increase from current levels. They testified that while they evaluated the 2021 survey when developing their proposal, the levels they ultimately proposed were a consensus judgment of all NMPF members. By their own description, the proposal is not intended to reflect the entirety of current manufacturing costs. NMPF witnesses argued that their proposal would update make allowances to be a closer reflection of manufacturing costs, but further increases could not be justified because of the potential impact to producers. They argued that until a mandatory cost survey can be conducted to provide assurances of accuracy in the calculation of manufacturing costs, any increases larger than they proposed would reduce producer revenue, lower already slim (if any) margins, and negatively impact the availability of adequate supplies of milk for fluid use. They considered such consequences disorderly. NMPF stressed current make allowances are too low and have resulted in cooperative reblending as a method of sharing losses among cooperative members who own manufacturing plants. NMPF witnesses also testified to receiving reduced premiums from manufacturing plant customers as they attempt to recoup costs not covered by the current make allowance levels. Reduced and/or deferred plant investment caused by inadequate make allowances was also a theme discussed by many witnesses. Cooperative witnesses spoke of the disproportionate burden on cooperatives with balancing plants, which inherently have higher manufacturing costs as they do not operate continuously at full capacity because of the market-wide balancing role they necessarily assume. NMPF cooperative witnesses and dairy farmer members presented VerDate Sep<11>2014 19:40 Jul 12, 2024 Jkt 262001 Proposals 8 and 9 0.2400 0.2300 0.2100 0.0210 0.2422 0.2582 0.2198 0.2251 evidence on increasing farm production costs and slim farm margins. They opined that the impact to producers should be considered when determining appropriate make allowance levels. WCMA and IDFA offered separate, but identical proposals. Their proposed make allowance levels were derived from the average of the 2023 study and the CA Forecast, plus a $0.0015 marketing cost factor. The proposals contained a 4-year implementation schedule with 50 percent of the increase implemented in year 1 and the remaining 50 percent implemented evenly across the next 3 years. Proponents offered a phased implementation schedule in recognition of the impact that sudden, large increases in make allowances would have on producer revenue. WCMA and IDFA witnesses asserted there are limits to a manufacturing handler’s ability to lower costs through efficiencies. As make allowances have not been increased in over 15 years, the witnesses stated plants have reached the limit on capturing cost efficiencies, and inadequate make allowances are now impacting innovation and capital investments. Manufacturing handlers testified their costs of manufacturing have increased and are in line with the 2021 and 2023 survey results. As a consequence of inadequate make allowances, the witnesses said classified prices are overvaluing raw milk. To substantiate the claim, witnesses compared producer mailbox prices with FMMO blend prices. In regions where mailbox prices (which contain premiums and deductions reflecting reblending) are below blend prices, the witnesses asserted regulated prices are too high, as manufacturers have lowered market premiums to make up for high manufacturing costs. The record clearly demonstrates that make allowance levels are not reflective of the costs manufacturers incur in processing raw milk into the finished bulk products of cheese, butter, NFDM, and dry whey. This was one of the only facts to which all participating parties PO 00000 Frm 00044 Fmt 4701 Sfmt 4702 IDFA/ WCMA year 2 0.2561 0.2778 0.2370 0.2428 IDFA/ WCMA year 3 0.2701 0.2976 0.2544 0.2607 IDFA/ WCMA year 4 0.2840 0.3172 0.2716 0.2785 agreed and offered evidence in support, as discussed above. However, there were divergent views on what should constitute adequate make allowance values going forward. Since 2000, when product pricing was adopted, FMMO decisions have consistently relied on surveys of observed manufacturing costs to determine proper make allowance levels. Previous make allowances have been derived in whole, or in combination with, surveys conducted by CPDMP, CDFA, and the USDA Rural Business Cooperative Service. The importance of relying on actual, observed costs cannot be overstated. FMMO price formulas determine the classified prices handlers pay to dairy farmers. It is important that all variables reflect actual market conditions. While the use of modeling is helpful for policy analysis, the evidentiary record of this proceeding contains adequate observed market data to determine make allowance levels without the need to rely on model assumptions. Modeling involves a host of assumptions made by the modeler, as was described by the CA Forecast author, which result in estimates with a wide confidence interval. In other words, cost estimates could have a wide range of possible values consistent with the model. The confidence interval for the cost estimates widens when some indexes used to forecast are not specific to dairy manufacturing. Economic modeling was considered and rejected during Order Reform as a replacement for the Basic Formula Price. This decision affirms the Department’s longheld position that this type of modeling, requiring extensive assumptions, is not an appropriate methodology for determining make allowances when superior information is available. As it is common for participants to not reveal confidential information such as manufacturing costs, the cost surveys contained in evidence provide the best available information on observed costs for this proceeding. Accordingly, this decision does not find justification for E:\FR\FM\15JYP3.SGM 15JYP3 Federal Register / Vol. 89, No. 135 / Monday, July 15, 2024 / Proposed Rules using the CA Forecast in determining appropriate make allowances levels. In opposition to Proposals 8 and 9, cooperatives and dairy farmer members offered substantial testimony regarding the potential impact to dairy farmers should make allowances be significantly increased. Accordingly, they recommend adoption of the NMPF proposal as it attempts to temper the impact to producers. FMMOs are designed to provide for orderly marketing through classified prices paid by handlers and marketwide pooling to determine average minimum blend prices paid to producers. As FMMO formulas are market-oriented, the product prices that drive classified prices are chosen to reflect current supply and demand conditions. This was last reiterated by the Department in 2013, writing ‘‘when the supply of milk is insufficient to meet the demand for Class III and Class IV products, the prices for these products increase as do regulated minimum milk prices paid to dairy farmers; because the milk is more valuable and the greater value is captured in the pricing formulas.’’ 78 FR 9248 (Feb. 7, 2013). Further, the Secretary is expressly authorized in the AMAA to set prices to reflect ‘‘. . . the price of feeds, the available supplies of feeds, and other economic conditions which affect market supply and demand for milk or its products. . . .’’ 7 U.S.C. 608c(18). This concept was discussed and validated by a Federal court and is relevant to this proceeding. Bridgewater Dairy, LLC et al. v. USDA, No. 3:07–cv– 104, 2007 WL 634059 (N.D. Ohio, 2007). Therefore, the potential impact to producers remains an inappropriate factor in determining make allowance levels. While many stakeholders look to the FMMO program to provide stability, it is not within FMMO authority to support dairy farmer income. Accordingly, record evidence does not support adoption of Proposal 7, whose make allowances levels are not reflective of observed costs provided in evidence and is designed to dampen the impact to producers. A vast majority of hearing participants supported a USDA-administered, mandatory, and audited survey as the most appropriate method for obtaining observed cost data to determine make allowance levels. Some witnesses asserted make allowances should not be changed until such a survey is administered and results published. Conducting such a survey is not currently authorized by law. The lack of a mandatory survey has not been reason to delay two previous updates to make allowance levels, and its continued lack of existence now is not a reason for delaying such an update in this proceeding. As discussed, the record of this proceeding clearly demonstrates manufacturing costs have increased since make allowance levels were last changed. Given the body of evidence, this decision finds it appropriate to increase make allowances to ensure the price formulas better reflect manufacturing costs and provide for more orderly marketing conditions. The record reveals the voluntary, unaudited nature of the 2021 and 2023 surveys are met with reluctance by some stakeholders, particularly the producer community. Questions regarding plant sampling, cost allocation methodology, and capturing of a high-cost time period expressed on the record are legitimate considerations. Issues with the results of voluntary, unaudited surveys are not new to the process of determining make allowances. Similar situations occurred in both the 2006 and 2007 rulemakings. In both instances, make allowances 2021 Non-transformed ddrumheller on DSK120RN23PROD with PROPOSALS3 Low Cost ................................................ High Cost ............................................... Average .................................................. # Plants .................................................. .............................. .............................. $0.2365 10 This decision recommends a $0.2504 per pound cheese make allowance, derived from the average of the 2021 and 2023 non-transformed survey results. The 2023 survey incorporates a representative sample size, accounting for 55.6 percent of NASS cheddar cheese production. The record indicates the 2023 survey, which collected cost data primarily from 2022, covered a period of relatively high inflation and VerDate Sep<11>2014 19:40 Jul 12, 2024 Jkt 262001 2023 Non-transformed $0.2201 $0.3181 $0.2643 18 Frm 00045 Fmt 4701 Sfmt 4702 were determined by using parts of different survey results. The record of this proceeding supports the same considerations. What remains for this recommended decision to determine are proper make allowance levels given the survey data contained in evidence: the 2021 survey; the 2023 survey; and the 2016 CA survey. The record does not support consideration of the 2021 survey results that relied on the transformation cost allocation method for allocating unallocated costs. Hearing participants expressed skepticism of this method as it is standard industry practice to allocate costs on a solids basis. Although the study author explained how the transformation numbers were assigned to products, the record does not contain sufficient evidence to validate the new methodology. Whether or not the transformation methodology is theoretically more accurate is not relevant. What is germane is that manufacturers allocate costs, manage their plants, and make marketing and pricing decisions in accordance with the traditional method of allocating fixed and unallocated costs on a pro-rata basis of milk solids in the final products. Accordingly, the 2021 survey results utilizing this methodology were not considered when determining the levels recommended in this decision. The revised 2021 and 2023 surveys, using non-transformed survey results, and the 2016 CA survey results were used in determining the make allowances recommended in this decision. Relying on a combination of these survey results provides a consensus set of data to determine appropriate make allowance levels and is superior to relying only on one survey. Cheese 2016 CA survey Current USDA proposed .............................. .............................. $0.2454 4 .............................. .............................. $0.2003 .............................. .............................. .............................. $0.2504 .............................. rising input costs. An example is packaging costs—lumber and corrugated materials—which testimony indicates have receded since peaking in 2022. Absent any other data on the record, this decision finds it appropriate to utilize an average of the 2023 and 2021 non-transformed survey results to ensure the recommended cheese make allowance is not disproportionately affected by higher 2022 costs that have PO 00000 57623 since moderated. The decision finds use of the 2021 and 2023 surveys provides a manufacturing allowance reflective of the national cheddar cheese market. In 2022, California cheddar cheese production represented approximately 6.9 percent of reported NASS cheddar cheese production. As incorporation of the 2016 CA survey would result in an over representation of California cheese E:\FR\FM\15JYP3.SGM 15JYP3 57624 Federal Register / Vol. 89, No. 135 / Monday, July 15, 2024 / Proposed Rules manufacturing costs, this decision does not support its consideration. Butter 2021 Non-transformed Low Cost ................................................ High Cost ............................................... Average .................................................. # Plants .................................................. .............................. .............................. $0.1338 12 This decision recommends a $0.2257 per pound butter make allowance, derived from the average of the 2021 and 2023 non-transformed survey results. While the 2021 and 2023 surveys had roughly the same number of reporting plants and represented roughly the same volume of NASS U.S. butter production (approximately 80–82 percent), the plant samples differed significantly. The study author claimed sampling was the main driver for the notably different survey results. The 2023 survey captured data from both smaller and larger plants while the 2021 ddrumheller on DSK120RN23PROD with PROPOSALS3 VerDate Sep<11>2014 19:40 Jul 12, 2024 Jkt 262001 2023 Non-transformed 2023 Non-transformed $0.2848 $0.3952 $0.3361 9 Frm 00046 Fmt 4701 Sfmt 4702 USDA proposed .............................. .............................. $0.1715 .............................. .............................. .............................. $0.2257 .............................. disproportionately affected by higher 2022 input costs that have since moderated and account for the differences in plant sampling. The decision finds use of the 2021 and 2023 surveys provides a manufacturing allowance reflective of the national butter market, as both surveys represent over 80 percent of 2022 NASS butter production volumes. This decision does not support incorporating the 2016 CA survey in the calculation as it would overrepresent California butter manufacturing costs. NFDM $0.1854 $0.2786 $0.2082 8 Current USDA proposed .............................. .............................. $0.1678 .............................. .............................. .............................. $0.2268 .............................. NFDM manufacturer did not participate. The record reveals the 2021 survey to be a better representation of plants producing NFDM in the U.S. than the 2023 survey. Additionally, as NFDM production is heavily energy dependent, the 2023 survey captured the historically high energy costs, particularly natural gas, that have since moderated. Utilizing the 2021 survey figures moderates the influence of the high inflationary period experienced in 2022, particularly for energy and utilities. Dry Whey 2016 CA survey Current USDA proposed .............................. .............................. .............................. .............................. .............................. .............................. $0.1991 .............................. .............................. .............................. $0.2653 .............................. dependent, and the same concerns regarding the 2023 survey results exist for dry whey. The record reflects incrementally higher drying costs are incurred when drying whey compared to NFDM due to the higher moisture PO 00000 Current 2016 CA survey $0.2302 $0.3247 $0.2750 15 .............................. .............................. $0.2457 8 This decision recommends a $0.2653 per pound dry whey make allowance, derived from the 2021 non-transformed survey and 2023 non-transformed lowcost survey result. Similar to NFDM, dry whey production is heavily energy $0.1838 $0.2149 $0.1938 7 CDFA study published, and it contains audited data, unlike the 2021 and 2023 surveys, it is appropriate to use as one of the surveys to determine the recommended average make allowance. As stated previously, given all the cost surveys contained in the evidentiary record have shortcomings, this decision finds it appropriate to use an average of two surveys when recommending make allowances. Regarding a NFDM make allowance, what remains is consideration of either the 2021 or 2023 survey. In the 2023 survey, significantly fewer plants participated and record evidence suggests at least one large 2021 Non-transformed Low Cost ................................................ High Cost ............................................... Average .................................................. # Plants .................................................. $0.2616 $0.4210 $0.3176 13 .............................. .............................. $0.2454 27 This decision recommends a $0.2268 per pound NFDM make allowance, derived from the average of the 2021 non-transformed survey and 2016 CDFA cost of processing survey results. In 2022, California represented 43.7 percent of U.S. NFDM production. This supports hearing testimony describing the importance of California manufacturing facilities in the total U.S. production of NFDM powder. Therefore, this decision finds it appropriate to place more emphasis on California NFDM plant costs considering the dominant share of NFDM production by California plants. As 2016 was the last 2016 CA survey survey consisted of a more homogenous sample of larger and more efficient plants. The record indicates the 2023 survey, which collected cost data primarily from 2022, covered a period of relatively high inflation and rising input costs. According to the Producer Price Index for All Commodities (PPI), published by the Bureau of Labor Statistics, prices have moderated since their June 2022 peak. Thus, this decision finds it appropriate to average the 2023 and 2021 non-transformed surveys to ensure the recommended butter make allowance is not 2021 Non-transformed Low Cost ................................................ High Cost ............................................... Average .................................................. # Plants .................................................. 2023 Non-transformed content in whey. Natural gas prices increased substantially between 2019 and 2022. The Henry Hub Natural Gas Spot Price increased 153 percent between 2019 and 2022. However, prices declined in 2023, with the spot E:\FR\FM\15JYP3.SGM 15JYP3 Federal Register / Vol. 89, No. 135 / Monday, July 15, 2024 / Proposed Rules price falling by 61 percent. Natural gas prices in 2023 were comparable to prices in 2019, with the spot price one percent lower than in 2019. Compared to 2016, natural gas prices were slightly lower in 2023, with spot prices about 4 percent below 2016 levels. These data suggest natural gas prices are similar to price levels observed during the Stephenson 2021 survey. Absent any other data on the record, this decision finds it appropriate to utilize the 2023 non-transformed low-cost average ($0.2848) with the 2021 nontransformed survey to ensure the recommended dry whey make allowance is not disproportionately affected by higher 2022 energy and utilities costs that have since moderated. The record does not support inclusion of a $0.0015 per pound marketing cost for any of the four make allowances. While supported by a few participants in both testimony and post-hearing briefs, no data was provided to validate $0.0015 as an appropriate estimation of marketing costs. The make allowances recommended in this decision are more representative of manufacturing costs than current make allowances, which were last changed in 2008. Record evidence clearly supports updates; however, as previously mentioned, each of the surveys of observed costs has weaknesses. The recommended make allowance levels are the best approximation of manufacturing costs given publicly available data and evidence contained in this proceeding’s record. In accordance with longstanding practice, this decision does not recommend delaying the implementation of make allowances determined to best reflect current conditions. Should these make allowances be approved by producers, they would be implemented through the publication of a final rule. ddrumheller on DSK120RN23PROD with PROPOSALS3 b. Butterfat Recovery Currently, the Class III formulas contain a 90-percent butterfat recovery assumption. This represents the percentage of butterfat in raw milk that can be recovered during the cheesemaking process, recognizing that for both theoretical and practical reasons, 100% of utilization of butterfat (or any other raw milk component) in the production of a dairy product is impossible. Proposal 10 seeks to increase the butterfat recovery assumption to 93 percent. Proponents claimed modern cheesemaking equipment and better cheese handling techniques make a higher butterfat VerDate Sep<11>2014 19:40 Jul 12, 2024 Jkt 262001 recovery not only attainable, but common in practice. Opponents mainly consisted of manufacturers asserting that while some cheese plants attain butterfat recovery percentages in excess of 90 percent, yield assumptions that increase producer revenue, such as butterfat recovery, should not be amended outside a comprehensive review of all assumptions that determine yield factors. Multiple opponents mentioned the overvaluation of whey cream as an example of a potential issue. This rulemaking proceeding sought to consider changes to the FMMO pricing formulas. Industry participants were invited to submit proposals concerning the current pricing provisions of the FMMOs. Those opposing changes to the butterfat recovery percentage had an opportunity to submit proposals on any of the yield factors, as they fall within the provisions of the pricing formulas. None, other than those submitted by Select, were received. This decision does not find it appropriate to deny consideration of any yield related proposal presented in this proceeding on the basis of a potential future evaluation of all yield factors. The record contains testimony from several expert witnesses explaining the cheesemaking process and use of more modern cheese equipment and technology, including improvements in coagulants and curd handling, allowing handlers the ability to capture a larger percentage of butterfat in cheese. As butterfat recovery numbers are considered confidential information, the record does not contain a welldeveloped picture of recovery levels in U.S. cheese plants. The record indicates the age of equipment and technology used in cheese plants varies widely. While evidence was submitted describing high butterfat retention rates that are achievable using new equipment, it does not demonstrate those rates are reflective of the general industry conditions. Other than a few new, very modern plants, the record does not support a 93 percent butterfat recovery factor as attainable by most cheese plants. The record contains considerable testimony estimating current butterfat recovery rates in the universe of cheese plants with varying ages of equipment and technology. Expert witnesses estimated butterfat recovery in cheddar plants ranged from 88 to 93 percent, attributing much of the difference to cheddar vat equipment. It is important that the product price formulas reflect current, not theoretical, conditions for the general population of plants. Experts generally offered that most commodity PO 00000 Frm 00047 Fmt 4701 Sfmt 4702 57625 cheddar cheese plants can obtain greater than 90 percent recovery, but few obtain 93 percent, with a 91 percent butterfat recovery rate considered the industry average. Accordingly, this decision recommends a 91 percent butterfat recovery rate. Such an increase necessitates a change to the butterfat yield factor in cheese from 1.572 to 1.589. c. Farm-to-Plant Shrinkage Currently, the FMMO formulas assume a farm-to-plant shrinkage factor of 0.25 percent. This represents normal milk losses that occur when milk is delivered from the farm to a plant. Under the FMMO system, most handlers purchase milk from producers based on farm weights and tests. The shrinkage factor recognizes that when milk is pumped from a farm bulk tank to a milk tanker, and then from milk tanker to the plant silo, milk sticks to the sides of the pipes and tanks. Milk can also be lost in the milk hauling process when milk haulers must make multiple farm stops to fill a load. As a result, plants often physically receive less milk than was measured at the farm. In recognition of this reality, the yields are slightly reduced to reflect the amount of milk actually available to make a product, as compared to the amount of milk picked up on farms. The proponents asserted that producers shipping full tanker loads is common in the Southwest where they operate. They testified to and provided cooperative data regarding the steps they have taken to reduce shrinkage. Proponents said increased average farm size results in fewer stops by the milk hauler to fill up a load, thus lowering overall shrinkage. They opined shrinkage should no longer be a reality for farms as losses can be managed on any size farm through adoption of farm scales, flow measurements, and other technologies to improve accuracy. Opponents argued only a small percentage of dairy farms are able to produce enough milk to fill an entire tanker load. While the number of large farms has grown, opponents testified removing the shrinkage factor could further incentivize manufacturers to prefer large over small farms. Consequently, they opined the farm-toplant shrinkage factor should remain. Record evidence reveals most dairy farms are unable to fill a tanker load per day. According to the NASS, daily milk production per cow averaged 66.5 pounds in 2022. Assuming an average tanker load of milk is approximately 48,000 pounds, it would require a milking herd of 722 cows to fill a tanker. In 2022, of the 24,470 U.S. dairy farms E:\FR\FM\15JYP3.SGM 15JYP3 57626 Federal Register / Vol. 89, No. 135 / Monday, July 15, 2024 / Proposed Rules ddrumheller on DSK120RN23PROD with PROPOSALS3 with milk sales, only 3,451 farms (approximately 14 percent) had 500 or more milk cows, and 2,013 (approximately 8 percent) had 1,000 or more milk cows. For the approximately 90 percent of farms that are not able to ship full tanker loads of milk, the record indicates farm-to-plant losses remain a reality for most producers and cooperatives operating within the FMMO system. As most handlers pay producers based on farm weights and tests, it remains appropriate to provide recognition in the formulas for milk solids paid for but not physically received at the handler’s facility. Accordingly, Proposal 10 is not recommended for adoption. d. Nonfat Solids Yield Currently, the FMMO Class IV price formula contains a NFDM yield factor of 0.99, representing the pounds of NFDM that can be made from one pound of nonfat solids of raw milk delivered from the farm. This factor is less than 1.0, as it recognizes both farm-to-plant shrinkage and the portion of nonfat solids utilized in NFDM. Select offered Proposal 12 to adjust the NFDM yield factor to account for both the NFDM and buttermilk powder that can be manufactured from the same pound of nonfat solids, and proposed an NFDM yield factor of 1.02. Proponents claim producers are not compensated for nonfat solids that end up in buttermilk powder since such production is not accounted for in the yield factor. A review of previous rulemakings reveals numerous changes to the NFDM yield factor both during and since Order Reform. The Order Reform recommended decision contained a nonfat solids yield factor of 0.96 as a divisor (equivalent to a 1.04 multiplier) in the nonfat solids price equation. It represented the percent of nonfat solids in a pound of NFDM. In other words, if a NFDM plant had 1 pound of nonfat solids, it could make 1.04 pounds of NFDM due to the moisture content in the final product. The factor was changed in the Order Reform final decision to 1.02 (equivalent to a 0.98 multiplier) as stakeholders commented it should represent both the NFDM and buttermilk powder that could be produced from one pound of nonfat solids. The nonfat solids yield factor was again considered in a 2000 rulemaking. Initially, the factor was amended to 1.00. 65 FR 82832 (Dec. 28, 2000). During that proceeding, stakeholders argued the yield factor should reflect that more than one pound of NFDM can VerDate Sep<11>2014 19:40 Jul 12, 2024 Jkt 262001 be manufactured from one pound of nonfat solids, resulting in a divisor less than one, or a multiplier greater than one. Evidence from that proceeding was used to demonstrate a calculation using only the NFDM price, NFDM make allowance, and a multiplier of 1.00 would be equivalent to a more complex formula attempting to combine the NFDM and buttermilk net prices using corresponding yield factors. The final decision in the 2000 rulemaking changed all yield factors, including the nonfat solids yield, from divisors to multipliers. 67 FR 67906 (Nov. 7, 2002). Keeping in line with only reflecting the nonfat solids used in NFDM, the nonfat solids yield multiplier changed from 1.0 to 0.99, with the incorporation of a farm-to-plant shrinkage factor of 0.25 percent. As calculated, for 1 pound of nonfat solids leaving the farm, 0.9975 pounds entered the plant (1.00¥0.0025 = 0.9975). Subtracting an estimated 0.0479 pounds of nonfat solids ending up in buttermilk powder left 0.9496 pounds of nonfat solids in NFDM (0.9975¥0.0479 = 0.9496). It was assumed NFDM is 96.2 percent nonfat solids, resulting in a NFDM yield factor calculation of 0.9496/0.962 = 0.9871, which was rounded to 0.99. The final decision made clear the 0.99 should be considered a NFDM yield factor, no longer a nonfat solids yield factor as was the case when Order Reform was implemented. Proposal 12 requests buttermilk powder again be incorporated into the NFDM yield. Proponents testified that without accounting for buttermilk powder, producers are not compensated for all the nonfat solids they sell to a Class IV manufacturer. Record evidence does not support such a claim. Class IV manufacturers are required to pay the nonfat solids price for pooled milk purchased, regardless of whether those nonfat solids end up in NFDM, butter, buttermilk powder, or any other Class IV product. The same can be said for other classified products whose component prices are computed similarly, even if there are numerous products in the category. For example, the other solids price is determined through a survey of dry whey prices and a dry whey make allowance. Manufacturers pay the other solids price even if they are making other products in the category, such as whey protein concentrate or whey protein isolate. Additionally, while the rulemaking history of the NFDM and nonfat solids yield factors is complex, evidence does not support that attempting to reflect two products (buttermilk powder and NFDM) in the NFDM yield would PO 00000 Frm 00048 Fmt 4701 Sfmt 4702 provide for more orderly marketing conditions. Recommendations are made throughout this recommended decision attempting to simplify, where possible, an already complex set of pricing formulas. As such, this decision finds it appropriate to maintain the current NFDM yield factor that only reflects one product. Accordingly, Proposal 12 is not recommended for adoption. Base Class I Skim Milk Price Currently, the base Class I skim milk price, also referred to as the ‘‘Class I mover’’ or ‘‘mover,’’ is the simple average of the monthly advanced Class III and Class IV skim milk pricing factors, plus an adjuster of $0.74 per cwt. This formula was implemented under the 2018 Farm Bill, which amended the AMAA to revise the provisions related to determining the monthly Class I skim milk price. Public Law 115–334, 132 Stat. 4490 § 1403. Congress exempted this amendment from the formal rulemaking process, and USDA implemented the change through a final rule. The formula has been in effect for milk marketed on and after May 1, 2019. 84 FR 8590 (March 11, 2019). Prior to the change, the base Class I skim milk price was the higher of the advanced Class III or Class IV skim milk prices (the ‘‘higher-of’’), announced on or before the 23rd of the prior month. The higher-of formula had been in effect since January 1, 2000. Industry stakeholders offered six proposals to amend the Class I mover. Proposal 13 would return to the previous higher-of Class I mover. NMPF explained the change to the average-of was supported at the time by both NMPF and IDFA, as it was intended to be revenue neutral for producers and provide Class I processors the ability to utilize hedging for risk management. IDFA and MIG proposed maintaining the average-of mover but recommended different calculations for the adjuster. Proposal 14, offered by IDFA, incorporates an adjuster that resets every January and would be the higher of either: (1) $0.74; or (2) the 24-month average difference between the higher-of and the average-of the advanced Class III and Class IV skim milk pricing factors. The 24-month calculation would run from August of three years prior to July of the previous year. For example: the 2024 adjuster would have been calculated by subtracting the average of the advanced Class III and IV skim pricing factors from the higher of the advanced Class III or Class IV skim pricing factor for each month of August 2021 through July 2023, then averaging the differences of the 24 months. The result for the August 2021 to July 2023 E:\FR\FM\15JYP3.SGM 15JYP3 ddrumheller on DSK120RN23PROD with PROPOSALS3 Federal Register / Vol. 89, No. 135 / Monday, July 15, 2024 / Proposed Rules time period is $0.95, which is higher than $0.74, and thus would have been the adjuster effective January 1, 2024, for the calendar year. For the month of January 2024, the advanced Class III and IV skim pricing factors were $5.74 per cwt and $9.25 per cwt, respectively, averaging to $7.50 per cwt. With the addition of the adjuster, the January 2024 base Class I skim milk price would have been $8.45 per cwt ($7.50 + $0.95) under Proposal 14. Proposal 15, offered by MIG, incorporates a monthly rolling average adjuster calculated as the difference between the higher-of and the averageof, for 24 months, with a 12-month lag. For example, the adjuster for January 2024 would have been $1.01 per cwt, calculated from the 24-month average difference of the higher of the advanced Class III or Class IV skim pricing factor less the average of the advanced Class III and IV skim pricing factors from January 2021 to December 2022. The January 2024 advanced Class III skim pricing factor was $5.74 per cwt and advanced Class IV skim pricing factor was $9.25 per cwt, resulting in an average of $7.50 per cwt. The averageof, with the addition of the adjuster, would result in a January 2024 base Class I skim milk price of $8.51 per cwt ($7.50 + $1.01) under Proposal 15. Edge offered Proposals 16 and 17. The Class I mover in Proposal 16 would be the announced Class III skim milk price, plus an adjuster reflecting the 36-month average of the difference between the higher-of the advanced 2 Class III or Class IV skim milk prices and the announced 3 Class III skim milk price from August of four years prior to July of the previous year. The adjuster would be calculated annually and be effective January of each year. For example: The adjuster for 2024 would be $1.64 per cwt, calculated from the 36-month average difference of the higher of the advanced Class III or Class IV skim pricing factor and the announced Class III skim milk price from August 2020 to July 2023. The announced Class III skim milk price for January 2024 was $4.92 per cwt, and with the addition of the adjuster would result in a January 2024 base Class I skim milk price of $6.56 per cwt under Proposal 16. Proposal 17 would return to the previous higher-of calculation. Both Proposals 16 and 17 would eliminate advanced pricing for Class I and Class II milk. Edge preferred 2 Advanced refers to prices announced on or before the 23rd of the prior month. 3 Announced refers to prices announced on or before the 5th of the following month. VerDate Sep<11>2014 19:40 Jul 12, 2024 Jkt 262001 Proposal 16, stating it would facilitate Class I hedging. The AFBF offered Proposal 18, which is nearly identical to Proposal 17. Both Edge and the AFBF stressed the importance of eliminating advanced pricing as a means for limiting price inversions that result in significant volumes of milk not pooled. NMPF presented testimony describing how the 2019 mover change was not revenue neutral, which is why they seek a return to the higher-of. NMPF and dairy farmers described volatile markets in response to the COVID–19 pandemic. Even as the COVID–19 pandemic has ended, prices have remained volatile, and stakeholders opined they expect volatility to continue. NMPF witnesses asserted that because of the current formula and volatile markets, there is no way for the impact to dairy farmers to be revenue neutral in the long term. According to NMPF, an unanticipated consequence of the average-of mover is the asymmetric risk borne by dairy farmers. NMPF explained the static nature of the $0.74 adjuster means that dairy farmers only benefit from the average-of when the difference between the advanced Class III and Class IV skim milk prices is less than $1.48. When the difference is greater, producers are paid less, sometimes significantly less, than they would have been under the higherof mover. During the 50-month period from May 2019–June 2023, the averageof mover was lower than the higher-of in 27 months. NMPF asserted when the average-of exceeded the higher-of, it did so by no more than $0.74, regardless of the magnitude of the difference between Class III and Class IV skim milk prices. However, when the average-of was lower than the higher-of, the reduction could be significantly more than $0.74. NMPF cited October 2022 as an example. At that time, the average-of was lower than the higher-of by $2.08. According to NMPF, from May 2019 to August 2023, producers were paid $998.3 million less than they would have if the higher-of mover had been in place. Both IDFA and MIG asserted their adjusters would result in revenue neutrality to producers over time because of regular updates to better reflect current market conditions, whereas the current static $0.74 adjuster reflects market conditions from 2000– 2018. IDFA further claimed the $0.74 floor contained in Proposal 14 ensures producers would receive Class I skim milk prices at least equating to what they receive under the current formula. MIG opined a rolling average adjuster would provide better dynamic market PO 00000 Frm 00049 Fmt 4701 Sfmt 4702 57627 signals while also stabilizing prices through more gradual monthly changes. In justifying these methods to continue an average-of mover, IDFA and MIG witnesses stressed the importance of maintaining the ability for Class I processors to hedge their future prices. The use of an average-of mover would allow them to continue to spread risk by taking equal positions in the Class III and Class IV futures and options markets. IDFA and MIG maintained hedging is a critical tool for certain processors, particularly ESL, to remain competitive with alternative beverages, such as bottled water, juice, and milk alternatives that do not face the same regulatory pricing framework as fluid milk. The ability to lock in a future price makes their cost known and allows a longer price horizon. They further asserted promoting and growing the sale of milk is a goal of the AMAA, which can be achieved using hedging. Both proponents explained a processor’s ability to hedge is not negatively impacted by the adjuster calculation (whether monthly or annually), so long as it is announced well in advance. IDFA was amenable to either adjuster calculation, so long as the average-of mover is maintained. Proponents of maintaining an averageof mover argued Congress amended the AMAA to facilitate risk management for Class I, and as it directed the Department to adopt the average-of mover, the Department must now continue that policy and refrain from taking action that would inhibit risk management. However, in the 2018 Farm Bill, Congress stipulated the average-of mover must be maintained for a period of not less than two years, at which time the formula could be modified through the standard FMMO amendment process. Congress did not direct that risk management consideration must be maintained beyond the two years following implementation of the 2018 Farm Bill. To evaluate the NMPF claim regarding asymmetric risk, AMS analyzed May 2019–December 2023 prices (56 months). The analysis found the current average-of mover to be greater than the higher-of mover in 23 months, resulting in $334 million in additional revenue paid to producers in those months. The two movers were equal in 2 months, and in the remaining 31 months, the average-of mover was less than the higher-of mover, resulting in $1.4 billion less in revenue paid to producers in those months than would have been without the mover change. The net result to dairy farmers during those 56 months was negative $1.066 billion. Further, in months when the E:\FR\FM\15JYP3.SGM 15JYP3 ddrumheller on DSK120RN23PROD with PROPOSALS3 57628 Federal Register / Vol. 89, No. 135 / Monday, July 15, 2024 / Proposed Rules average-of was more than the higher-of mover, the difference was never greater than $0.74 and, mathematically, could never be greater than that amount under the current average-of system. However, in months when the average-of was less than the higher-of mover, the difference was as great as $5.19. This analysis supports NMPF’s assertion of the asymmetric risk borne by producers under the current mover calculation. The record reveals the $0.74 static adjuster was adopted because, at the time, it represented the additional value paid to producers through the higher-of versus what would have been the average-of mover from 2000–2017. Evidence shows $0.74 is no longer representative of the additional higherof value to producers as Class III and IV prices have become significantly more divergent in recent years. A comparison of advanced Class III skim and Class IV skim milk prices from January 2000– April 2019 and from May 2019– December 2023 illustrates the increased volatility. From January 2000–April 2019, when the Class I skim milk price was determined by the higher-of mover, the monthly difference in advanced prices ranged from $0 to $6.77. From May 2019 through December 2023, the range was $0 to $11.86, equating to an increase of slightly more than 75 percent. Testimony described rapidly changing Class III and IV prices resulting not only in months when the Class I mover was significantly lower than it would have been under the higher-of formula, but times when the Class I price (announced before the month) was less than the Class III and/or Class IV price (announced after the month). As handlers have the option to pool Class III and Class IV milk, this price inversion led to many months when the higher-valued manufacturing milk was not pooled. Testimony on the record described several consequences: (1) manufacturing handlers opted out of pool participation, keeping the higher market revenue instead of sharing it with all pooled producers; (2) instances when a manufacturing handler opted out of pool participation, and the historically high market revenue was not shared with their own producer suppliers; and (3) significant disparity in payments to pooled and nonpooled producers in some months. Testimony detailed the conditions in 2020 when the demand for cheese relative to butter rapidly widened the spread between Class III and Class IV Prices. For example, the base Class I skim milk price for June 2020 (announced May 20, 2020) was $7.08 (based on an $6.68 advanced Class III VerDate Sep<11>2014 19:40 Jul 12, 2024 Jkt 262001 skim milk price and an $5.99 advanced Class IV skim milk price). Cheese prices rose rapidly during the month, resulting in a $15.06 Class III skim milk price and $6.62 Class IV skim milk price. According to record evidence, high volumes of Class III milk were not pooled in order to avoid paying the higher valued Class III price into the marketwide pool. Record data reveals a significant increase in the estimated volume of milk not pooled in 2020 and 2021, which NMPF attributed to price volatility. Data shows milk volumes not pooled in 2020 and 2021 were approximately 60 percent greater than in 2019. Testimony and evidence pointed to pronounced price volatility being considered the norm, not the exception, going forward. Record evidence also shows how the lower average-of mover value resulted in muted blend prices in some regions of the county, making it difficult to attract milk supplies for fluid use. This was particularly a concern in the southeastern FMMOs which experienced a disproportionate reduction in blend prices relative to other FMMOs because of their high Class I utilization. Testimony described how blend prices between the Southeast FMMO and nearby orders narrowed, making it difficult to attract supplemental milk to meet the fluid demand in the milk deficit region. During Order Reform, the Department considered numerous options for determining Class I prices as it evaluated an appropriate Class I pricing system. In the Order Reform recommended decision, several variations of an average mover were considered, including a moving average and a declining average weighted most heavily by the current month’s price, along with a higher-of option based on the second preceding month’s prices. When considering its recommendation, the Department evaluated each option’s ability to improve price stability while maintaining appropriate producer price signals to ensure an adequate supply of milk for fluid use. The Department initially recommended a 6-month declining average of the higher-of the Class III and Class IV skim milk prices. The goal was to ‘‘decrease monthly Class I price volatility while minimally affecting the long-run price.’’ 63 FR 4802, 4886 (Jan. 30, 1998). Analysis of that option compared to the higher-of option showed only a two-cent difference based on data from 1992–1997, thus supporting the notion an average-of price would not impact prices in the long run. Public comments in response PO 00000 Frm 00050 Fmt 4701 Sfmt 4702 to the recommended decision cautioned the Class I price should be closely and directly linked to manufacturing prices. Commenters opposed a six-month declining average because it would delay the linkage with the Class I price, resulting in counter-cyclical pricing— something noted in the final decision, which stated that, for example, if Class I prices are undervalued, ‘‘it reduces producers’ pay prices at a time when the producers should be receiving a positive price signal.’’ 64 FR 16026, 16102 (Apr. 2, 1999). Analysis conducted for the Order Reform final decision evaluated prices post-1998 and found using a 6month average mover during times of increased price volatility would have led to price inversions. The decision explained how price inversions could lead to depooling under which disorderly marketing conditions may arise. As a result, the final decision also articulated, on the same page as the most recently noted quotation, ‘‘because handlers compete for the same milk for different uses, Class I prices should exceed Class III and Class IV prices to assure an adequate supply of milk for fluid use.’’ Accordingly, the final decision recommended the higher-of mover which remained in place until May 2019. Record evidence clearly shows that the price inversions and depooling predicted in the Order Reform final decision occurred after the average-of mover was implemented in 2019. The principle of maintaining a proper link between Class I and manufacturing prices to avoid price inversions and depooling remains an important consideration in evaluating change to the Class I mover in this rulemaking. Proponents offering modifications to the average-of mover acknowledge price inversions and depooling have occurred with greater frequency and duration. However, they maintain hedging is a critical risk management tool that should be preserved and cannot be achieved using the higher-of mover. Record evidence highlights that although both HTST and ESL are fluid milk products, there are notable differences between HTST and ESL processing and sales. ESL products require unique processing techniques and packaging that significantly increase product shelf-life. The record indicates ESL products have a shelf-life of at least 65 days; some ESL processors stated their products have a shelf-life of 120 days or more. ESL processors described marketing differences between the two types of products. ESL products: (1) have a longer shelf-life which facilitates a wider distribution; (2) are typically E:\FR\FM\15JYP3.SGM 15JYP3 ddrumheller on DSK120RN23PROD with PROPOSALS3 Federal Register / Vol. 89, No. 135 / Monday, July 15, 2024 / Proposed Rules shipped to centralized retail warehouses (distribution centers) and from there are distributed to individual stores by the store owners; and (3) are sold to retail customers who prefer long-term contracts and a long lead time for any price changes, often 60–90 days or more. This is significantly different than HTST products that: (1) have a significantly shorter self-life (common range is 14–21 days) necessitating more local distribution; (2) are typically distributed through direct-store-delivery (DSD); and (3) whose retail customers are accepting of FMMO Class I prices that vary monthly. ESL processors explained the averageof mover has enabled them to meet customer demand for long-term pricefixed contracts by using the futures and options market to hedge the risk associated with changes in monthly FMMO Class I prices. They credit the ability to manage risk as a factor in the growth of ESL products. Before adoption of the average-of mover, processors of ESL products took on a significant amount of price risk to meet the long-term, fixed price contracts required by customers because they had no way of knowing when they negotiated contracts whether the advanced Class III or Class IV price would become the base Class I skim milk price. The record contains no similar evidence that HTST processors face the same constraints. In fact, record evidence shows advanced Class I pricing with monthly sales negotiations was, and remains, standard practice for these products. Given all the record evidence, this decision must determine the best method for determining Class I skim milk prices that ensure adequate fluid milk supplies and orderly marketing conditions. The earlier discussion of record evidence clearly highlights the disorderly marketing conditions that occurred as a result of the average-of mover. However, when considering how to provide for more orderly marketing conditions, this decision cannot ignore how the Class I market has evolved since 2000. Prior to FMMO Reform, fluid milk products were almost exclusively HTST, which have a shorter shelf-life and move from farm to retail in a relatively short time. Advanced pricing ensures equity among fluid milk handlers, allowing them to know their regulated minimum raw milk cost at the time they negotiate prices with their buyers and ensure equal raw milk cost between similarly situated handlers. The record reflects significant development and growth of ESL products since Order Reform. The VerDate Sep<11>2014 19:40 Jul 12, 2024 Jkt 262001 record also highlights marketing ESL products is significantly different than HTST products. Evidence shows the different distribution pattern (warehouse v. DSD) and longer shelf-life (65–120 days) facilitates wider geographic, rather than local, marketing and distribution. In addition, it is common for competing ESL products being sold in the same month to have been processed during a range of previous months. As a result, processors of ESL products do not necessarily have the same regulated minimum raw milk prices for products sold during the same month. This undermines handler equity between processors of ESL products as they do not have equal raw milk costs for products competing for sales in the same month. This decision supports a hybrid solution that will ensure adequate supplies of milk for fluid use, while also accounting for the inequities between processors of ESL products. FMMOs are tasked with ensuring minimum prices reflect supply and demand conditions, which is accomplished, in part, through weekly surveys of wholesale bulk commodity products. Weekly survey prices provide signals to market participants on the changing value relationships between dairy product markets. FMMOs do not control those market-based relationships. As monthly average prices are determinants of Class III and IV prices, it is expected there will be periods when Class III values will be higher, and other times when Class IV values will be higher. Under a monthly pricing system that allows for voluntary pooling of manufactured milk and advanced Class I pricing, there will be occasions when these value differences are large enough to have price inversions and/or incentivize handlers to not pool milk during a particular month. The record clearly shows such situations occurred prior to May 2019. However, record data highlights the shift in duration and magnitude of these occurrences since the average-of mover was adopted. The record reveals large and prolonged value differences can cause significant differences in pay prices between producers and reduced willingness to supply the Class I market. The record of this proceeding supports returning to the higher-of Class I mover for HTST products. The higher-of would provide a better link between Class I and manufacturing prices and better ensure Class I prices remain the highest to bring forth an adequate supply of fluid milk. Therefore, this decision recommends adoption of Proposal 13 for HTST fluid milk products. Returning to the higher-of mover for ESL products would deepen the pricing PO 00000 Frm 00051 Fmt 4701 Sfmt 4702 57629 inequity that naturally exists for those products, as described earlier. For example, under the higher-of mover, a handler processing and selling an ESL product in January 2023 would have faced a base Class I skim milk price of $11.62 per cwt. However, handlers who processed ESL products two or four months before, which are also being sold in January 2023, would have faced a base Class I skim milk price of $12.61 and $13.82 per cwt, respectively. This results in a difference of base raw milk costs of up to $2.20 per cwt for ESL products competing for sales during January 2023. Given the marketing characteristics of ESL products, short of providing for fixed minimum prices, price differences between these competing products will always exist. However, this decision strives to recognize the evolution of the ESL market since Order Reform with a pricing structure for ESL products that would narrow differences, make them more predictable, and provide for more orderly marketing conditions. This decision finds pricing differences would be reduced through adoption of a Class I ESL adjustment that would equate to a Class I price for all ESL products equal to the average-of mover contained in Proposal 15. The Class I ESL adjustment will provide more long-run pricing equity for ESL product by better ensuring handlers whose ESL products compete for sales during the same month, but whose raw milk may have been purchased and processed during different time periods, have more similar costs. In practice, the higher-of Class I mover would be announced on or before the 23rd of the prior month. A Class I ESL adjustment would be announced at the same time, and equal the difference between the higher-of mover and the average-of the advanced Class III and Class IV skim pricing factors plus a rolling monthly adjuster. The rolling monthly adjuster would be calculated as the average of the differences between the higher-of and the average-of calculations for the prior 13 to 36 months. All milk used in ESL products with a shelf-life no less than 60 days, regardless of the type of Class I plant 4 in which they are made, would be subject to the adjustment. The adjustment would be added to or subtracted from the handler’s pool obligation applicable to the amount of milk used in ESL products. The rolling adjuster would be computed in advance and announced on or before the 23rd of the month 12 months in advance of its application (i.e. January 2023 rolling 4 1xxx.7(a) E:\FR\FM\15JYP3.SGM or 1xxx.7(b). 15JYP3 ddrumheller on DSK120RN23PROD with PROPOSALS3 57630 Federal Register / Vol. 89, No. 135 / Monday, July 15, 2024 / Proposed Rules adjuster would have been announced on or before December 23, 2021). For example, the advanced Class III and IV skim pricing factors for January 2023 were $9.54 per cwt and $11.62 per cwt, respectively. • The average-of the two factors (applicable to ESL milk) would have been $10.58 plus the rolling adjuster reflecting the average of the differences between the higher-of and the averageof from January 2020 to December 2021 ($1.58 per cwt), for a total of $12.16 per cwt. • The higher-of mover (applicable to HTST milk) would have been $11.62 per cwt. • The January 2023 Class I ESL adjustment would have been $0.54 ($12.16¥$11.62), calculated by subtracting the higher-of announced price from the average plus rolling average calculation. The effect of the adjustment would be a base Class I skim price for HTST milk of $11.62, and an effective base Class I skim milk price for ESL milk of $12.16. While this example computes a positive adjustment resulting in a higher effective price for ESL milk, it is to be expected in some months the adjustment will be negative, resulting in a lower effective price. The objective of the ESL adjustment is not to create a higher or lower effective Class I price, but rather to reduce the range of base Class I skim prices paid for milk used in ESL products being sold during a month. Evidence on the record indicates the Class I ESL adjustment will tend to moderate the price highs and lows, thus providing improved price equity between handlers of ESL products. The record indicates ESL products represent approximately 8 to 10 percent of the Class I market and would be subject to the Class I ESL adjustment. This decision finds the Class I ESL adjustment, combined with the higherof mover price for HTST products will provide for more orderly marketing and better ensure price equity for handlers of similar Class I products. This decision also recommends maintaining advanced Class I pricing. Proponents of Proposals 16, 17, and 18 argued advanced pricing should be eliminated to prevent short term inversions between the monthly Class I price and Class III and/or IV prices, and subsequent incentives for depooling. Opponents, both independent and cooperative Class I processors along with a majority of producers, supported the continued use of advanced pricing. As discussed previously, advanced Class I pricing provides equity to regulated Class I processors by informing them of their regulated VerDate Sep<11>2014 19:40 Jul 12, 2024 Jkt 262001 minimum raw milk cost in advance of the sale of their product. This ensures all dairy processors have an opportunity to align their raw milk costs with the sale prices of their products, which are generally negotiated before the start of the month. In the case of Class I products and the nonfat solids portion of Class II products, this alignment is facilitated by advanced pricing. Accordingly, Proposals 16, 17, and 18 are denied. Select argued USDA should omit a recommended decision on the Class I mover following a finding by the Secretary ‘‘on the basis of the record that due and timely execution of his functions imperatively and unavoidably requires such omission.’’ (Select Post Hearing Brief, 2024, pp. 46–47) (citing 7 CFR 900.12(d)). The Secretary finds no sufficient information on the record to determine that skipping the recommended decision is unavoidable and is therefore issuing a recommended decision on the Class I mover. Class I and Class II Differentials a. Class I Differentials The current Class I price structure was developed during the Order Reform process when Congress directed the Department to review the Class I price structure as part of larger FMMO consolidation efforts. Federal Agriculture Improvement and Reform Act of 1996, Public Law 104–127, 110 Stat. 888. The Department considered several objectives when determining an appropriate Class I price surface, including: being national in scope, while also accounting for local and regional conditions; recognizing the location value of milk; recognizing all uses of milk; and meeting AMAA requirements. The Department met AMAA requirements governing classified pricing by ensuring the price surface would ‘‘reflect enough of the milk value to maintain sufficient revenue for producers to maintain an adequate supply of milk and provide equity to handlers with regards to raw product costs.’’ 64 FR 16026, 16109 (Apr. 2, 1999) 5 The Class I price surface adopted on January 1, 2000, met those objectives. Class I milk pricing consists of two pieces: the base Class I mover applied uniformly to all Class I milk (as discussed previously) and a location specific differential which represents the location value of milk at a specific plant location. The differentials provide producers a financial incentive to supply the Class I market, which tends PO 00000 5 Order Reform Final Decision. Frm 00052 Fmt 4701 Sfmt 4702 to be closer to the population centers, rather than delivering milk to a manufacturing plant typically closer to the farm. The location specific differential consists of two parts: a base value (also referred to as the ‘‘base differential’’) applied uniformly to all Class I milk, and a location value. The base differential is currently $1.60 per cwt, representing three costs whose values were determined to reflect market conditions during the late 1990s. First, the cost of maintaining Grade A farm status ($0.40) which includes costs associated with the labor, resources and utility expenses for maintaining required equipment and facilities, and adherence to certain management practices. Second, marketing costs (also referred to as balancing costs) ($0.60) which include, among other things, the costs associated with seasonal and daily reserve balancing of milk supplies and transportation to more distant processing plants. Lastly, a competitive factor ($0.60) is included to represent a portion of the competitive costs incurred by fluid plants to compete with manufacturing plants for a milk supply. The location values were developed during the Order Reform process through an analysis conducted with the USDSS, maintained at the time by Cornell University. The USDSS was used to evaluate the geographic or ‘‘spatial’’ value of milk and milk components across the U.S. under the assumption of efficient markets. The model used 240 supply locations, 334 consumption locations, 622 dairy processing plant locations, 5 product groups, 2 milk components, and transportation and distribution costs among all locations to determine mathematically consistent location values for milk and components. Model results provided county specific information regarding the relationship of prices between geographic locations based on May and October 1995 data. Since adoption on January 1, 2000, only differentials in the Appalachian, Florida, and Southeast FMMOs have been amended. The amendments, effective May 1, 2008, were the result of a region-specific rulemaking evaluating transportation costs in servicing those milk deficit orders. 73 FR 14153 (Mar. 17, 2008). The record reflects consensus among hearing participants that the dairy marketplace has evolved significantly over the past 25 years. However, there remains strong disagreement on how the market changes should be interpreted and recognized in the Class I differentials. The producer community argued Class I differentials no longer reflect the cost of servicing fluid milk E:\FR\FM\15JYP3.SGM 15JYP3 ddrumheller on DSK120RN23PROD with PROPOSALS3 Federal Register / Vol. 89, No. 135 / Monday, July 15, 2024 / Proposed Rules demand and should be updated to reflect the current structure and significantly higher transportation costs through adoption of Proposal 19. The processing and manufacturing community argued certain cost factors contained in the differentials are no longer relevant and should be eliminated through adoption of Proposal 20. They stressed that if the costs of servicing the Class I market exceed those of the proposed reduced Class I differential values, they can be negotiated between buyers and sellers through over-order premiums. Proposal 19 would increase the Class I differentials based in part on updated USDSS results reflecting the current dairy market structure and transportation costs. NMPF witnesses explained USDSS result averages were the foundation of their deliberations, and deviations were made to account for a variety of factors they believed were not accounted for, including producer price impacts, competitive relationships, blend price alignment, private supply arrangements, and unique local market conditions such as traffic or geography. Although NMPF began with results from a mathematical model, the process thereafter was primarily subjective. They started by selecting a series of cities, which they called ‘‘anchor cities,’’ to represent areas which bordered multiple FMMO regions. Then, regional committees adjusted model-derived location values to better align location values and reflect local marketing and transportation conditions within their region, respecting the anchor cities as starting points. NMPF combined the independently derived regional results and made further refinements to ensure smooth pricing transitions between the regions. Ultimately, NMPF proposed that the lowest differential increase from $1.60 per cwt to $2.20 per cwt. NMPF maintains the cost factors provided for in the base differential value remain relevant and presented testimony from member cooperatives that such costs have increased. Opposition to Proposal 19 centered on several areas. First, opponents argued there is more than an adequate supply of milk nationally to meet Class I needs, therefore adoption of Proposal 19, or any increase to Class I differentials, is not warranted. Second, opponents contended raising Class I prices would be disorderly because it would further decrease already declining Class I consumption and, they argued, the FMMO objective of ensuring adequate milk supplies implies FMMOs should adopt provisions that encourage Class I consumption. One such opponent VerDate Sep<11>2014 19:40 Jul 12, 2024 Jkt 262001 presented an econometric study which found fluid milk demand is elastic, concluding that increasing Class I prices would decrease consumption and violate FMMO objectives. Third, opponents took exception to NMPF’s proposal development process and what they considered a lack of unifying principles used to adjust the USDSS results, believing NMPF had failed to provide cost justification for maintaining a base differential. Independent fluid milk processors further argued the entire development process led to results with a favorable bias towards NMPF member-owned plants. Lastly, organic milk processors and some organic cooperatives argued organic milk should not be treated similarly to conventional milk in the FMMO program because it has different and unrelated market structures. In its post-hearing brief, MIG reiterated its position on organic milk and further argued that because NMPF did not demonstrate current Class I differentials create disorderly marketing conditions the evidentiary threshold for increasing differentials had not been met. MIG offered Proposal 20, which would lower the base differential value to $0.00, contending FMMO Class I prices are too high and have resulted in an oversupply of milk that they believe is disorderly. According to MIG, there is more than an adequate supply of milk to meet fluid demand. Given 99 percent of U.S. milk production meets Grade A standards, MIG argued compensation for Grade A maintenance is already provided for in manufacturing milk prices and therefore the $0.40 Grade A factor is no longer justified. Additionally, MIG members’ testimony detailed efforts they have adopted to balance their own milk supply, including infrastructure investments, creating more uniform receiving and processing schedules, and paying over-order premiums. Organic and ESL MIG members testified their fluid milk products function as wholly distinct markets with their own balancing and supply challenges. Therefore, MIG concluded the balancing cost and Class I competitive factors should no longer be recognized in the Class I price. Lastly, MIG and its members argued that if additional money is needed to compensate dairy farmers and cooperatives for balancing costs or to incentivize milk to serve Class I plants, those costs should be negotiated between the buyer and seller and paid through over-order premiums, not as part of the regulated price. A vast majority of producers and their cooperatives opposed Proposal 20. They maintained, both in witness testimony PO 00000 Frm 00053 Fmt 4701 Sfmt 4702 57631 and post-hearing briefs, there is relevancy of costs associated with the base differential. NMPF stressed the costs, while difficult to precisely quantify, are still relevant and have increased since adopted in 2000. NMPF described the disorder that would arise if the base differential was reduced to $0.00 and a greater portion of marketwide cost reimbursement was forced to be negotiated in the market. While some NMPF members testified to receiving over-order premiums, they stressed establishing and maintaining premiums is difficult because there remains a market imbalance of power between milk sellers and buyers. Opponents of any change to Class I prices, either through a change to Class I differentials or other FMMO amendments, raised several overarching objections. First, they alleged disorderly marketing must first be proven to justify any changes to FMMO provisions. They cited a lack of instances of fluid demand not being met as an indication disorder is not present in the fluid milk market. The declared policy of the AMAA is to ‘‘. . . establish and maintain such orderly marketing conditions for agricultural commodities in interstate commerce. . . .’’ FMMOs accomplish this mandate through the classified pricing of milk products and marketwide pooling of those classified use values. Through these mechanisms, orderly marketing conditions are provided so handlers are assured of uniform minimum raw milk costs and producers receive minimum uniform payments for their raw milk, regardless of its use. While previous FMMO amendatory proceedings may have found market disorder to warrant changes to provisions, the AMAA does not contain an express or implied declaration that a finding of disorderly marketing conditions is required before an order can be amended. Second, opponents argued Class I prices cannot be amended until the FMMO system is modified to recognize the organic milk sector. However, potential amendments that would adopt disparate treatment of organic milk were not within the scope of this proceeding, as defined in the hearing notice. Third, Class I processors and manufacturers argued the Department should consider the impact to Class I sales when evaluating changes as they allege the AMAA objective of ensuring adequate milk supplies implies the FMMO should encourage fluid consumption. They further argue that demand for fluid milk is elastic and, therefore, raising Class I differentials would be disorderly as it would result in a decline in Class I sales. The AMAA E:\FR\FM\15JYP3.SGM 15JYP3 ddrumheller on DSK120RN23PROD with PROPOSALS3 57632 Federal Register / Vol. 89, No. 135 / Monday, July 15, 2024 / Proposed Rules authorizes FMMOs to provide for orderly marketing conditions and ensure an adequate supply of milk for fluid use. It does not explicitly state nor imply FMMO provisions should encourage Class I sales. FMMOs are charged with ensuring adequate supplies of fluid milk, regardless of the quantity demanded. As to whether or not fluid milk has an inelastic or elastic demand, numerous studies were entered into the record, some drawing opposite conclusions. An econometric study entered on behalf of MIG found the retail level demand for fluid milk to be elastic. The study looked at cross sectional data over relatively short periods of time. In contrast, an NMPF witness reviewed numerous studies published within the last 20 years that evaluated time series data, concluding the studies support the assertion that fluid milk demand remains inelastic with respect to prices for those products. An analysis of the MIG study indicates that other than product prices and quantities, no other variables were considered that could explain changes in demand. Such variables which are generally recognized to be determinants of demand outside of price include, but are not limited to, household income, demographics, and measures of preferences. While the MIG study found retail price affects retail milk demand, it did not demonstrate price was the only factor that impacts demand. By design, the study estimated that only prices for milk and competing products could account for changes in quantities sold. Certainly, more study may be warranted given the evolution of the dairy industry in the last 25 years. However, a conclusion of the long-term demand elasticity of fluid milk cannot be drawn from one study of cross-sectional data, given the overwhelming body of studies contained in this hearing record which found otherwise. Finally, opponents opined that milk is typically more valuable when used in Class III products, rather than Class I, and therefore the record lacks justification to increase Class I differentials. Testimony was given comparing USDSS model results (utilizing 2016 data) showing, outside of the southeastern region, higher marginal location values for milk used at Class III manufacturing locations than for milk used in Class I processing in the same locations. No evidence was presented as to how the Class III location values could or should be implemented to achieve the purposes of the AMAA. Unlike estimated Class I location values which have been historically relied upon to determine Class I differentials, VerDate Sep<11>2014 19:40 Jul 12, 2024 Jkt 262001 this was the first time the USDSS model results were utilized to calculate location values for Class III milk, and the first time testimony was offered to suggest how the correlation between Class III and Class I location values should impact pricing decisions. The record lacks evidence to validate the interpretation of Class III location values, as further indicated by the differing views of the study authors as to whether this would be an appropriate interpretation of the various sets of USDSS results. The record of this proceeding indicates the cost of servicing the Class I market is no longer sufficiently reflected by existing Class I differentials. This was evident in the USDSS results and validated through firsthand testimony of cooperative milk suppliers who described increased servicing costs. Current Class I differentials were established based on 1995 data. In the nearly thirty years since, the record reflects the market has substantially changed in size and structure. While milk production has increased approximately 45 percent from 1995 until 2022, during the same time period the number of dairy farms has decreased by approximately 74 percent, and the average herd size has increased from 68 to 261 cows. Consolidation has also occurred on the processing and manufacturing side. The record describes plant closures, particularly on the fluid processing side, and plant investment, especially in large manufacturing plants. Considerable testimony and evidence were given describing increased distances milk must travel to find a market outlet. Because of the greater distances between supply locations and fluid processing plants, cooperative witnesses testified to increasing costs to ensure fluid demand is met. The witnesses also described in detail how the increasing costs are disproportionately borne by cooperative members who often see deductions on their milk checks to cover increased organizational and individual transportation costs, which some witnesses attested more than doubled in the past 20 years. There was little to no rebuttal to the claim the market has consolidated on both the producer and processor side, resulting in increased transportation costs. The USDSS study authors themselves attributed the observed differences in the 2022 results, when compared to the current differentials, to four primary factors: change in milk production locations, change in compositions of dairy product demand, change in demand locations, and increased transportation costs per mile. PO 00000 Frm 00054 Fmt 4701 Sfmt 4702 What is at issue is the justification for increasing Class I differentials. While only one witness described a situation in which they were unable to procure enough milk to meet the demand of their fluid milk processor, the record is full of testimony on the difficulty cooperatives have faced to ensure fluid milk demand is met. Cooperative witnesses discussed needing to reach out to more distant supply locations to find available milk supplies willing to serve the Class I market instead of remaining at a manufacturing plant, and the inability to recoup a large portion of the additional transportation costs through over-order premiums. FMMOs were established in the 1930s when the market contained many sellers and few buyers of milk. The highly perishable nature of raw milk resulted in producers engaging in pricing behavior that lowered farm prices as producers undercut one another in order to find a market outlet, a condition generally described as destructive competition. This unavoidable competitive behavior was among the reasons producers petitioned Congress to authorize a marketing order program to provide orderly marketing through known terms of trade and the pooling of market returns, which in turn provided a more equitable balance of power between buyers and sellers. While the record of this proceeding reveals continued consolidation on both the producer and processing sides of the market, it also contains evidence the fundamental elements that were the genesis of the FMMO program still exist. Raw milk remains a highly perishable product, produced every day, that cannot be stored for any significant length of time and incurs high costs when transported over long distances. No substantive evidence was presented to indicate there is no longer an imbalance of market power between buyers and sellers. Processors spoke of the abundance of milk produced as a reason Class I prices should not be increased. However, that reality also highlights how the dairy marketplace continues to place processors in a price setting role. As a price taker, the record reflects considerable testimony attesting to the difficulty dairy farmers have had and continue to have in obtaining and maintaining over-order premiums at levels sufficient to cover actual and/or opportunity costs. It is natural for buyers of milk to want to pay less and for sellers of milk to want to be paid more. The role of FMMOs is to determine minimum prices that provide for orderly marketing conditions that balance these natural competitive desires. The AMAA E:\FR\FM\15JYP3.SGM 15JYP3 ddrumheller on DSK120RN23PROD with PROPOSALS3 Federal Register / Vol. 89, No. 135 / Monday, July 15, 2024 / Proposed Rules expressly authorizes marketwide pooling of classified prices as a tool for accomplishing orderly marketing. In determining appropriate classified prices, the Department cannot place an undue reliance on over-order premiums which diminish the role of marketwide revenue pooling and can lead to disorderly marketing conditions. Accordingly, this decision recommends changes to the Class I differentials to better reflect the various aspects of the current marketplace. The first step in evaluating appropriate Class I differential levels is the base differential. While the USDSS model is appropriate to show the value differences of milk between two fluid plant locations, as will be discussed later, it is not designed to inform the level of the minimum value needed to service Class I plants. Proposal 20 seeks to reduce the base differential to $0.00 on the premise the costs represented either are no longer relevant (Grade A maintenance) or should be left up to negotiation with the fluid milk processor and their supplier (balancing and Class I incentive cost). While the record does not precisely describe how much the cost components of the base differential have increased, it lacks evidence to demonstrate those costs have decreased. In fact, discussion of various costs throughout the proceeding indicates that costs have instead increased. Given the lack of clear record evidence specific to costs accounted for in the base differential, this decision recommends continuation of the $1.60 base differential. Despite arguments Grade A maintenance costs should no longer be covered because 99 percent of U.S. milk production is Grade A, this decision continues to find it appropriate to recognize the additional costs for maintaining Grade A status in a regulatory pricing system requiring Grade A standards be met for participation. When the Grade A factor was incorporated into the base differential, it was specifically for Grade A maintenance costs, not costs associated with conversion to Grade A status. Proponents argue that because almost all milk meets Grade A standards, it is no longer necessary to provide a recognition of that cost in the base differential. Whether 99 percent of milk production today is Grade A, or 96 percent as it was at the time of Order Reform, is irrelevant. The record demonstrates dairy producers incur costs to maintain Grade A standards which are a requirement for participating in the FMMO system. As only Class I milk is required to participate and raw milk used in fluid VerDate Sep<11>2014 19:40 Jul 12, 2024 Jkt 262001 milk products is required to meet Grade A standards, it is appropriate for the Class I price to continue to recognize those costs. The record does not demonstrate the remaining two base differential factors, balancing costs and additional monies needed to compete for a milk supply, are no longer relevant. All parties testified to their continued existence. Proposal 20 would require those costs to be negotiated in the market. Proponents of Proposal 20 argued they have made capital investments to balance their supply and/or pay overorder premiums to their suppliers to meet their milk needs, and/or provide balancing services. While their testimony acknowledges these costs exist, proponents argued the FMMO is making them pay twice for such services—once through the regulated price and again through their negotiated over-order premium. They further argued that if cost reimbursement is needed for such services, they should be able to pay that value to their suppliers directly through over-order premiums, not into the marketwide pool. Cooperative witnesses testified at length on the costs associated with ensuring daily, weekly, monthly, and seasonal fluctuating needs of the fluid market are met. While their balancing costs were considered confidential information, cooperative witnesses testified to the overall increase in costs associated with providing those services. In particular, cooperative witnesses spoke to the higher costs incurred to operate regional balancing plants. These plants often do not run at full capacity year-round in order to ensure capacity to balance excess supply during flush periods or provide additional milk to fluid processing plants during months of increased demand. The record reflects these marketing costs are incurred for the benefit of balancing the entire market’s milk supplies, thus providing for the orderly marketing of milk for fluid use. It has always been the case that an individual processor may find it necessary and/or advantageous to pay premiums above the minimum value to suit their individual and fluctuating needs. FMMO pricing balances the value needed to be reflected in the minimum regulated prices, without an over-reliance on over-order premiums that can undermine marketwide revenue pooling and lead to unequal raw product costs between similarly situated handlers and non-uniform payments to producers. An additional function of the base differential, as described in the Order Reform Recommended Decision, is to PO 00000 Frm 00055 Fmt 4701 Sfmt 4702 57633 generate the additional monies necessary for the FMMO pools to balance the reliance on over-order premiums. This was of particular concern in marketing orders with low Class I differentials and low Class I utilization, for which the decision noted ‘‘there is a risk that handlers may not face equal raw product costs for various reasons. Thus, having a larger proportion of the actual value of Class I milk in the market order pool in these areas, than is now the case, should promote pricing equity among market participants.’’ 63 FR 4802, 4909 (Jan. 30, 1998). As this decision seeks to update Class I differentials, maintaining the balance of what proportion of the value of Class I should be reflected in the marketwide pool remains a consideration. Negotiations for overorder premiums are not conducted in a vacuum, but are done with the benefit of both parties knowing minimum FMMO values and the costs represented in the minimum values the plant is responsible for paying. If Class I processors believe they are being double charged, they can use that information in their over-order premium negotiations. Maintaining the $1.60 base differential would ensure Class I prices typically remain the highest, which is of particular importance in locations where the base differential is the effective differential. Without a base differential value in these locations, there would be little difference between the Class I price and the manufacturing price, and thus no financial incentive to serve the fluid market would exist to ensure the FMMO policy objective is met. Accordingly, this decision finds a $1.60 base differential remains an appropriate minimum value to ensure Class I demand is met. While the Department appreciates the effort put forth to submit a comprehensive option in Proposal 19, the record of this proceeding does not support its adoption. Proposal 19 contains a base differential of $2.20, which is an increase of $0.60 from the current level. However, the record lacks data to quantify costs in excess of the $1.60 base value. Proponents described using the average of the USDSS May and October results as a starting point for consideration but did not provide evidence as to why, under a minimum pricing system, the average rather than the minimum values observed in the May results was appropriate or preferable. Furthermore, the record does not contain evidence to support how the deviations made from the USDSS averages are appropriate. Proponents E:\FR\FM\15JYP3.SGM 15JYP3 ddrumheller on DSK120RN23PROD with PROPOSALS3 57634 Federal Register / Vol. 89, No. 135 / Monday, July 15, 2024 / Proposed Rules described their own marketing expertise but presented insufficient evidence to determine if the proposed differentials would result in Class I prices in excess of what is appropriate for a minimum pricing system. Accordingly, this decision does not recommend adoption of Proposal 19. However, this decision finds evidence to support raising the Class I differentials from the current levels. The record of this proceeding reveals the cost of servicing the Class I market has increased since the Class I differentials were adopted in 2000 and amended in the southeastern FMMOs in 2008. Evidence reflects the market structure of Class I plants and the milk supply have changed considerably in the last 25 years. That was supported in witness testimony, as well as USDSS model results, which clearly show the location value of milk has changed. The Department continues to find the USDSS model the best available tool for determining the location value of milk given the vast array of factors that contribute to how milk is produced, transported, processed, and distributed in the U.S. When the differentials were adopted during Order Reform, testimony reflects the Department used USDSS model results as a starting point and made adjustments for various reasons. The Order Reform Recommended Decision described several options the Department considered. Of the differential surface ultimately adopted, AMS wrote, ‘‘Nine differential zones provide the basis for establishing the price structure. These zones were established based on results of the USDSS model, knowledge of current supply and demand conditions, and recognition of other marketing conditions such as fluid versus manufacturing markets, urban versus rural areas, and surplus versus deficit markets.’’ 63 FR 4802, 4905 (Jan. 30, 1998). The decision went on to outline additional reasons for adjustments including ensuring price alignment with neighboring zones and adequate marketwide pool draws. The USDSS model estimates results for an efficient milk supply and distribution network, provided at its lowest cost. The USDSS study authors acknowledged when using the model results to determine Class I differentials, adjustments would be appropriate as there are factors unaccounted for in the model, such as FMMO provisions, abnormal traffic patterns, and competitive relationships. Accordingly, this decision recommends Class I differentials be changed to better reflect the current cost VerDate Sep<11>2014 19:40 Jul 12, 2024 Jkt 262001 of serving the Class I market. When determining appropriate levels, the Department began with the USDSS May results, referred to hereinafter as ‘‘May results.’’ The May results are the lower of the two months provided in evidence, which is an appropriate starting point for determining minimum prices. The Department then evaluated the results on a regional basis and made adjustments based on three principles and two additional considerations. First, adjustments were made where necessary to better align Class I handler equity. This means the proposed Class I differentials should not give one handler an uneconomic cost advantage relative to an actual or potential competing handler. Second, adjustments were made to maintain producer equity and prevent uneconomic rewards or penalties to producers who deliver or could deliver milk to the same plant or market. Third, adjustments were made to ensure the marketwide pools continue to provide orderly marketing conditions. The combination of handler and producer equity goals is further achieved through the size and shape of pricing zones. The USDSS values are determined at specific locations, or ‘‘nodes,’’ in the model. Model results can be displayed on a map or in a list of counties to convey the price surface, but the methodology for doing so, as explained by the study authors, was a mathematical tool which interpolated values between distances. Additional information about markets can be added to the model results through knowledge about the economic or geographic (roads, natural barriers, etc.) conditions in specific locations. This may lead to a decision to change the shape or contours of the pricing surface that is estimated from the model results. Lastly, adjustments were made to reflect unique challenges associated with servicing dense urban environments. The changes by regions are described below. The general process began with roughly $0.20 differential bands generated from the May results. The May and October results formed a soft boundary for differential adjustments. The current differentials formed a hard lower boundary, which were rounded to the nearest dime to eliminate $0.05 differences between zones, consistent with the USDSS model results which were in $0.10 increments. Northeast The recommended differentials in the Northeast region largely follow the May results with minimal changes. The differential for Portland, Maine, was PO 00000 Frm 00056 Fmt 4701 Sfmt 4702 raised to $4.50 to match the results in Concord, New Hampshire, to ensure handler equity. Albany County, New York, and Rensselaer County, New York, were moved to the same differential by increasing the Albany differential $0.10 to meet the Rensselaer differential, as plants in those counties are located just across a bridge from one another but were assigned different prices by the model. Differentials in most New Jersey counties are proposed to be $0.10 to $0.20 above the May results, but within the May and October range, to reflect testimony on the cost of servicing urban areas and transportation concerns. The differential for Washington, DC, is also proposed to be $0.10 above the May result to reflect testimony on servicing an urban area. Appalachian The variation between the model results in May and October are more significant in the three southeastern orders. As discussed by several witnesses, this region experiences unique marketing conditions with high Class I utilization and deficit local milk supply. Due to the substantial seasonality of the local milk supply, it requires significant but variable volumes of supplemental milk supplies from outside the region as well as changes in milk movements of regular suppliers to the market throughout the year. The Transportation Credit Balancing Fund (TCBF) and the recently implemented Distributing Plant Delivery Credit (DPDC) are programs to compensate handlers for some of the additional and variable transportation costs associated with supplying the Class I markets in these orders during different periods of the year. The reimbursement rates for these programs include adjustments for any gain in Class I differentials from supply point to receiving plant. Therefore, any changes in difference in Class I differentials would be reflected in the calculated rate for eligible payments in both the TCBF and DPDC in all three southeastern orders. The recommended differentials in the Appalachian region are largely formed in $0.20 and $0.30 bands based on the May results starting with $3.70 in Southern Indiana and, moving southeast, increasing to $6.00 along the Carolina coast. In most areas, the proposed differentials are within $0.10 (+/¥) of the May results. There are a few exceptions where the proposed differentials are $0.20 less than the May results to better align handler equity. For example, in Spartanburg County, South Carolina, the proposed differential is $5.60, $0.20 less than the E:\FR\FM\15JYP3.SGM 15JYP3 Federal Register / Vol. 89, No. 135 / Monday, July 15, 2024 / Proposed Rules May results. This maintains the current competitive relationship between this area and the Atlanta, Georgia area, and with the competing handlers in North Carolina. Southeast The proposed differentials in the Southeast FMMO start at $3.20 in southwest Missouri and increase moving southeast to $6.00 in southeast Georgia. The proposed differentials follow the May results closely, within $0.10 (+/¥), with a few modifications. The East Baton Rouge Parish differential was reduced by $0.20 from the May results to be consistent with the May result of $5.20 for competing areas such as Lafayette Parish. Tangipahoa Parish was placed in the $5.40 zone, or $0.30 below the May result. These decreases are meant to ensure handler equity while still acknowledging the thinner and steeper surface reflected in the May results in the southeastern U.S. Rutherford County, Tennessee, is also proposed to be modified to be consistent with neighboring Davidson County, Tennessee, at $4.60 ($0.20 below the May result) to provide for handler equity. In Missouri, Webster County was placed in the $3.20 zone to match the Greene, Hickory, and Polk County differentials. This addresses handler equity concerns and results in a $0.10 proposed decrease for Webster County from the May result. ddrumheller on DSK120RN23PROD with PROPOSALS3 Florida The proposed differentials for Florida largely follow the May results with modification to address handler equity concerns. The differentials start at $6.00 in the Florida panhandle region and increase going south with mostly $0.40 bands ending at $7.40 in south Florida. Processing plants in central Florida were placed in the same $6.80 band to match the May result in Volusia County due to handler equity concerns. This necessitated decreases from the May results of $0.10 in Orange County, $0.10 in Hillsborough County, and $0.20 in Polk County. For similar handler equity concerns, Broward County is proposed to match the May result in Dade County of $7.40 in the southernmost part of Florida. Upper Midwest In the Upper Midwest region, deviations from the May results are proposed to ensure producer equity and ensure the marketwide pool provides for orderly marketing. The Upper Midwest FMMO is unique in its low Class I utilization, which creates challenges in setting a differential surface that sends the proper signals to producers VerDate Sep<11>2014 19:40 Jul 12, 2024 Jkt 262001 supplying the Class I market while also ensuring producer equity and orderly marketing among producers supplying the region’s plants. Estimates indicate a large differential range in the region would not result in equity between producers and could result in disorderly marketing. Therefore, the differential surface was flattened from the May results, in general, by raising the differentials in the western part of the region—in the eastern Dakotas and much of Minnesota—and lowering the differentials in the eastern part—in northern Illinois, southeastern Minnesota, and Wisconsin. Differentials in five counties, Dakota, Hennepin, Ramsey, Scott, and Washington, in the Minneapolis/St. Paul metropolitan area of Minnesota, are raised $0.10 higher than neighboring counties to reflect higher costs of serving an urban area and incentivize Class I service relative to surrounding manufacturing plants. In addition, they are set at the same differential of $2.90 to promote handler equity among fluid processing plants in the metropolitan area. The new differential for these counties, except for Hennepin, are $0.10 to $0.20 above the May results. The differential for Hennepin, $0.30 above the May results, is set the same as its peer counties to ensure that handlers in this county are able to compete for available milk supplies on an equitable basis. Differentials in the regions supplying the Chicago, Illinois, area are adjusted to ensure handler equity. Generally, the differentials in this area are set at $3.10 to $3.20. The record reflects bottling plants in eastern Iowa, northern Illinois, southeastern Wisconsin, northern Indiana, and southwest Michigan all compete for Class I sales into the Chicago area. Thus, Class I differentials in northern Illinois are lowered $0.20 and $0.10 in Kane and Winnebago counties, respectively, from the May results. Similarly, comparisons and adjustments were made to the May results to align with northern Indiana and southwest Michigan counties supplying the Chicago area. Central The proposed differentials in the Central FMMO start at $2.30 in western Colorado and increase moving east to $4.00 in southern Illinois. The proposal aligns the production area of northern Colorado with the large production areas of New Mexico, the Texas Panhandle, and southwest Kansas at $2.50. This required increasing the differential in Weld, Boulder, and Morgan counties of Colorado by $0.10 to $0.20 from the May model results. In PO 00000 Frm 00057 Fmt 4701 Sfmt 4702 57635 order to encourage milk to service Class I demand, some counties in the greater Denver area, including Colorado Springs, are proposed at the May results of $2.70, while others are proposed to increase as much as $0.20 above the May results to provide for handler equity. In southern Illinois, testimony reflects plants compete for sales within a similar distribution area. Therefore, counties were grouped into a $3.60 zone. This represents an increase of $0.10 for some plants, while others remained at the May result of $3.60. In Iowa, all counties with distributing plants are set at the May result of $2.70. Douglas County, Nebraska, and Minnehaha County, South Dakota, proposed differentials are $2.70 and $2.60, an increase of $0.20 and $0.10, respectively, from the May results. These increases recognize handler equity both to the east with Polk County, Iowa, and to the north with Cass County, North Dakota. In Kansas, the two counties with distributing plants, Reno and Sedgwick, are proposed to be $2.90, as they are neighboring counties, and the same differential levels would provide for handler equity. This increase also provides handler equity and price alignment with Oklahoma plants to the south. In Oklahoma, Lincoln, Cleveland, and Grady counties are proposed at the same differential of $3.30. Lincoln and Cleveland counties are proposed at the May results, while this represents a $0.20 increase for Grady County. The $3.30 differential for these three counties provides for handler equity and price alignment both to the north in Kansas and the south in Texas. Mideast Differentials in the Mideast region were evaluated on a state-by-state basis. Michigan differentials are set at the May results, $3.00 in the upper peninsula and $3.30 in the lower peninsula, because there were no additional producer or handler equity issues to address. Indiana is divided into three differential zones moving north to south ($3.30, $3.60, and $3.70) which align with the May results. The differentials for Lake and Huntington counties are proposed to be lowered by $0.40 and $0.10, respectively, from the May results to provide handler equity in the northern Indiana zone. The differentials in Madison and Wayne counties are proposed to increase $0.10 and $0.20, respectively, from the May results to provide handler equity in the central Indiana zone of $3.60. Southern Indiana E:\FR\FM\15JYP3.SGM 15JYP3 57636 Federal Register / Vol. 89, No. 135 / Monday, July 15, 2024 / Proposed Rules counties are proposed at the May result of $3.70. Proposed differentials in Ohio generally follow the May results within $0.10 (+/¥) and zones were determined based on handler equity concerns. Moving northwest to southeast, proposed differential zones are $3.30, $3.60, $3.80, $4.00, and $4.30. The five differential zones align within a $0.10 (+/¥) range of the May results. The exception is Cuyahoga County with a proposed $0.20 decrease from the May result to provide for hander equity with Wayne and Stark counties. Proposed differentials in western Pennsylvania are generally consistent with the May results to provide for handler equity, either in a $3.90 or $4.00 zone. Butler, Fayette, Lawrence, and Mercer counties are proposed to be lowered by $0.10 from the May results to the $4.00 zone. West Virgina differentials range from $4.00 to $4.80, moving northwest to southeast, consistent with the May results as there were no additional producer and handler equity to address. ddrumheller on DSK120RN23PROD with PROPOSALS3 Southwest The proposed differentials in the Southwest FMMO start at $2.30 in northwest New Mexico and increase moving southeast to $4.80 in southeast Texas. Bernalillo County, New Mexico, is proposed to increase $0.30 from the May result to provide for handler and producer equity with nearby manufacturing plants. Testimony reflects the Texas Panhandle and southeastern New Mexico regions contain mostly manufacturing plants and draw milk from the same supply region in the Panhandle. For producer equity concerns, these regions are proposed to be in a $2.50 zone. This matches the May results for the eastern New Mexico plant locations, necessitating a proposed increase of $0.10 to $0.30 in counties within the Panhandle region to reach a uniform $2.50 zone. In Lubbock County, Texas, the differential is proposed at $2.60, a decrease of $0.20 from the May result, recognizing handler equity in the Panhandle region and producer equity considerations with manufacturing plants competing for milk supplies. Dallas County, Texas, is proposed at the May result of $3.70 and a $0.10 increase is proposed for Tarrant County to maintain handler equity. Bexar County, Texas is proposed at $4.30, a $0.10 increase from the May result, and Harris and Montgomery counties are proposed at $4.80, a $0.20 increase from the May result to reflect difficulties in servicing congested urban areas. VerDate Sep<11>2014 19:40 Jul 12, 2024 Jkt 262001 Arizona In Arizona, the metropolitan area of Phoenix encompasses both Maricopa and Pinal counties. The differentials for these counties are proposed to increase $0.30 and $0.20, respectively, above the May results to reflect the higher cost of servicing an urban area, in addition to providing handler equity with Clark County, Nevada. The differential for Yuma County is proposed at $2.50, an increase of $0.40 from the May result to maintain handler equity between Maricopa County, Arizona, and Los Angeles, California. California For California, testimony was given regarding additional transportation costs from excessive traffic congestion and geographic obstacles in southern California that were not accounted for in the model. Accordingly, the differential in San Diego is proposed to increase $0.20 from the May result to $2.80. To maintain handler equity within the southern California region, the differentials for Orange, Riverside, and Los Angeles counties are proposed to be $2.80. This is $0.40, $0.50 and $0.60 above the May results in Orange, Riverside, and Los Angeles counties, respectively. Ventura County is proposed to increase $0.40 from the May result, to $2.60, to address producer equity concerns and ensure price alignment with the surrounding counties. For Kern County, the primary milk supply area for much of this region, the differential is proposed to be $2.50. This also serves to encourage Kern County milk to move south to distributing plants, rather than north to manufacturing plants where the proposed differential is $2.20. The differentials in the remaining San Joaquin Valley counties, Tulare, Kings, Fresno, Madera, Merced, Stanislaus, and San Joaquin, are proposed to be $2.20 based on testimony indicating these counties are considered one supply area. Of these counties, Madera County has the highest increase from the May result, $0.40, to maintain handler equity as well as maintain producer equity for the producer milk in this area. The proposed $2.20 differential zone is then carried into the Sacramento Valley counties of Sacramento, Yolo, Colusa, and Glenn, an increase of $0.20 to $0.30 from the May results. These counties, along with those in the San Joaquin Valley, supply milk for distributing plants in the San Francisco Bay area. The proposed differentials for Alameda, Contra Costa, Solano, Napa, Marin, and Sonoma counties are set at $2.40 to encourage milk to service the PO 00000 Frm 00058 Fmt 4701 Sfmt 4702 San Francisco Bay area. This represents an increase of $0.40 to $0.50 from the May model results for these supply counties to maintain handler equity. San Francisco and counties south along the central California coast are further from a milk supply. The differentials in that area are proposed at $2.50 and include San Francisco, San Mateo, Santa Cruz, Santa Clara, San Benito, Monterey, San Luis Obispo, and Santa Barbara counties, representing increases from the May results of $0.20 to $0.50. Similar to the Sacramento Valley, the differentials for the counties of Mendocino, Lake, and Humboldt, which are located along the northeast California coast and supply the San Francisco Bay area, are proposed to be $2.20 to provide for producer equity. Western Unregulated States Differentials in Nevada generally follow the May results, except for a few modifications. In northern Nevada, to provide for handler equity, Washoe County is proposed to increase $0.10 from the May result to align with the neighboring $2.00 California zone. Eureka, Nye, and Esmerelda counties are proposed at $2.20, resulting in changes from the May results of plus or minus $0.10. The proposed differentials in Utah start at $2.00 in the north and increase moving south up to $2.50 in the southwest part of the State. While most of the proposed differentials are aligned with the May results, the counties of Davis, Morgan, Salt Lake, Tooele, Utah, and Weber are recommended at $2.20, an increase of $0.10. This aligns those counties with counties to the north and west, ensuring both producer and handler equity. The proposed differentials in the state of Montana start at $1.70 and increase to $2.40 in the southeast part of the state. Most of the proposed differentials are aligned with the May results. The only county with a proposed differential more than $0.10 different from the May result is Golden Valley which is lowered $0.20 to ensure handler equity with the counties to its north and south. The proposed differentials in the unregulated portions of the state of Idaho start at $1.70 and increase to $2.20. While most of the proposed differentials are within $0.10 of the May results, the county of Cassia is decreased $0.20 for handler equity with plants to the south into Utah. This brings the unregulated Idaho counties in alignment with counties to the north and south, ensuring both producer and handler equity with those areas. E:\FR\FM\15JYP3.SGM 15JYP3 Federal Register / Vol. 89, No. 135 / Monday, July 15, 2024 / Proposed Rules Lastly, the proposed differentials in Wyoming generally follow the May results as there were no producer or handler equity concerns to address. Except for Laramie, Wyoming, which is proposed at $2.50 to align with neighboring Northeast Colorado. This represents a $0.20 increase compared to the May results. Pacific Northwest In the Pacific Northwest, the proposed differential in Seattle was increased $0.30 above the May result to reflect unique geography and the cost of serving an urban market. Likewise, the proposed differential in Portland, Oregon, was increased from the May result to align with Seattle to provide for producer and handler equity. Testimony reflected both cities are equidistant to milk supplies in south central Washington, and both have similar supply issues. The remaining proposed differentials reflect a $0.20 banding around the May results. Summary In total, the differentials proposed by this decision reflect a simple average $0.01 higher than the USDSS model May results ($3.81 versus $3.80) for the 3,108 counties in the contiguous U.S. The following is a general description of the changes from the USDSS model May results: Number of counties Range of difference 5 ............................................................................................................................................................................. ¥$0.40 to ¥$0.60 ¥$0.20 to ¥$0.30 ¥$0.10 to +$0.10 +$0.20 to +$0.30 +$0.40 to $0.60 224 ......................................................................................................................................................................... 2,652 ...................................................................................................................................................................... 190 ......................................................................................................................................................................... 37 ........................................................................................................................................................................... ddrumheller on DSK120RN23PROD with PROPOSALS3 An analysis shows the proposed differentials, on a weighted average basis for FMMO Class I milk (2019– 2023), increased $1.24/cwt. Based on pooled Class I milk during 2019–2023, the current weighted Class I differential was $2.63 per cwt. The proposed differentials would have increased the weighted average to $3.87 per cwt. Other Issues In post-hearing briefs, some stakeholders objected to NMPF’s use of producer costs of production for proposing updated Class I differential levels. As described above, such costs were not considered in the development of the Class I differentials recommended in this decision. Another argument made in posthearing briefs centered on the amended TCBF provisions in the Appalachian and Southeast FMMOs and newly established DPDC provisions in the Appalachian, Florida, and Southeast FMMOs. These provisions became effective March 1, 2024, and were a result of a regional rulemaking proceeding to address the chronic milk supply issues of those regions. 89 FR 6401 (Feb. 1, 2024). As the proceeding resulted in increased transportation cost related assessments on Class I handlers, some stakeholders argue no changes should be made to the Class I differentials until the impact of these regional changes can be observed. The Appalachian, Florida, and Southeast FMMOs adopted marketwide service payment provisions that authorize year-round assessments on Class I milk, paid by handlers, for payment to handlers for Class I deliveries made to their plants VerDate Sep<11>2014 19:40 Jul 12, 2024 Jkt 262001 according to the TCBF and DPDC provisions. Under the marketwide service provisions of the AMAA, marketwide service programs are only authorized to pay monies to handlers. 7 U.S.C. 608c(5)(J). Therefore, it would not be appropriate to delay consideration of Class I differential levels, monies which are paid to producers (both cooperative and independent), for TCBF and DPDC payments which are made only to handlers. If Class I differential levels are changed as a result of this proceeding, thus impacting the market conditions which led to the creation of the marketwide service programs, stakeholders could petition USDA to make changes to the TCBF and DPDC provisions. b. Class II Differential The FMMO system currently prices milk used in Class II products uniformly. The Class II skim milk price is computed as the advanced Class IV skim price plus $0.70 per cwt. The Class II butterfat price is the Class III butterfat price for the month, plus the same amount expressed as $0.007 per pound. The $0.70 differential between the Class IV and Class II skim milk prices, adopted in the Order Reform Final Decision, was based on an estimate of the cost of drying condensed milk and re-wetting the solids for use in Class II products, which was seen as an economic, upper-bound constraint on the use of fresh milk in Class II processing. Proposal 21, submitted by AFBF, seeks to update the Class II differential to $1.56 per cwt. AFBF derived the PO 00000 Frm 00059 Fmt 4701 Sfmt 4702 57637 Number of plants 1 12 172 35 22 proposed level by updating the factors originally used to determine drying cost. Those include the NFDM make allowance and the nonfat solids yield factor used in the FMMO formulas, and butterfat and nonfat solids levels in FMMO pooled milk. As rewetting solids, the practice of first reconstituting powdered milk with water, is no longer a common practice, AFBF argued such cost no longer needs to be considered. AFBF opined a $1.56 Class II differential would not be high enough to incentivize the substitution of Class IV products for fresh milk. AFBF claimed the additional Class II value added to the marketwide pool because of the higher differential would reduce the occurrence of negative PPDs and depooling. Opponents of Proposal 21 argued such a large Class II differential increase would incentivize the substitution of Class IV products in the manufacture of Class II products. Class I processors, who also have Class II production, argued such an increase would put them at a competitive disadvantage with standalone Class II manufacturers. They indicated processors who produce both products are required to pool all milk received at the plant but processors who only produce Class II products can opt to pool milk. Record evidence does not support adoption of Proposal 21. Mathematically, the formula used by AFBF to compute an updated Class II differential mimics the calculation from Order Reform. However, it is clear from record testimony that more than doubling the current Class II differential, as proposed by AFBF, E:\FR\FM\15JYP3.SGM 15JYP3 57638 Federal Register / Vol. 89, No. 135 / Monday, July 15, 2024 / Proposed Rules ddrumheller on DSK120RN23PROD with PROPOSALS3 would result in handler equity issues and increased substitution of Class IV products in lieu of fresh fluid milk in Class II products. Class II production is unusual, if not unique, among dairy processing facilities as some products are produced at Class I plants, and others at standalone Class II plants. Because all milk received at Class I plants is required to be pooled, regardless of use, this can result in the same products having different regulatory burdens depending on the type of plant where it was produced. That phenomenon has existed since 2000. However, the record shows that instances of milk in Class II products produced from Class II plants not being pooled could dramatically increase with adoption of Proposal 21. The result would be a competitive disadvantage for Class I plants by creating a pricing inequity that would produce disorderly marketing conditions. Accordingly, Proposal 21 is denied. Conforming Changes Proposal 22, authored by AMS, would authorize changes, where necessary, in the respective marketing orders to conform with any amendments resulting from this proceeding. The record contains no opposition to the proposal. Accordingly, this decision recommends a series of conforming changes to ensure the proposed amendments to the uniform pricing formulas applicable to the respective marketing orders can be effectuated. The proposed changes are as follows: 1. Amending 7 CFR 1000.43 to remove references to 1135.11, as the order is no longer in effect. Also adding 7 CFR 1000.43(e) which would define skim milk used in ultra-pasteurized or aseptically processed and packaged fluid milk products eligible for the Class I ESL adjustment be limited to available Class I producer milk classified pursuant to the allocation process contained in Section1000.44(a); 2. Amending 7 CFR 1000.50 to remove all references to NASS and replace them with AMS; 3. Amending the following counties (and FIPS code) in 7 CFR 1000.52, to be consistent with the Federal Information Procession Series maintained by the Federal Communication Commission: Yellowstone, MT (30113) has been merged into Gallatin and Park Counties, MT (30031) (30067), Shannon, SD (46113) has been renamed Oglala Lakota, SD (46102), Bedford City, VA (51515) has been merged into Bedford County, VA (51019), and Clifton Forge City, VA (51560) has been merged into Alleghany County, VA (51005). Additionally, amending the FIPS code VerDate Sep<11>2014 19:40 Jul 12, 2024 Jkt 262001 for Pierce, WA (53053) as it was original printed incorrectly. 4. Amending 7 CFR 1000.76, provisions governing partially regulated distributing plants to add ‘‘applicable’’ to references to the Class I price throughout the section to indicate application of a Class I ESL adjustment, when applicable, and remove the reference in 7 CFR 1000.76(b)(1)(i) to 7 CFR 1135.11 as the latter is no longer in effect; 5. Amend the introductory paragraphs of 7 CFR 1001.60, 1005.60, 1006.60, 1007.60, 1030.60, 1032.60, 1033.60, 1051.60, 1124.60, 1126.60, and 1131.60, sections which calculate the handler’s value of milk in each FMMO. Section .60 of each order would be revised with the addition of an instruction to compute an adjustment to a handler’s producer milk obligation for Class I producer milk eligible for the Class I ESL adjustment. The adjustment would be calculated by multiplying the monthly Class I ESL adjustment by the monthly pounds of eligible Class I skim milk. The instruction would be inserted prior to the instruction regarding reconstituted milk for each order. Other paragraphs are proposed to be redesignated to reflect the insertion; 6. Further amending 7 CFR 1005.60(g), 1006.60(g)–(i), and 1007.60(g) to remove language pertaining to transportation cost reimbursement during the months of January 2005 through March 2005 and September 2017, which is no longer in effect; and 7. Amending 7 CFR 1005.51, 1006.51, and 1007.51 to remove Class I price adjustments in the Appalachian, Florida, and Southeast FMMOs. The order language would no longer be necessary with the proposed amendments to the Class I differentials. Southeast, Appalachian, Florida, Upper Midwest, Central, Mideast, California, Southwest, Pacific Northwest, and Arizona FMMOs were first issued and when they were amended. The previous findings and determinations are hereby ratified and confirmed, except where they may conflict with those set forth herein. The following findings are hereby made with respect to the aforenamed marketing agreements and orders: a. The tentative marketing agreements and the orders, as hereby proposed to be amended, and all of the terms and conditions thereof, will tend to effectuate the declared policy of the Act; b. The parity prices of milk as determined pursuant to section 2 of the Act are not reasonable with respect to the price of feeds, available supplies of feeds, and other economic conditions that affect market supply and demand for milk in the marketing area, and the minimum prices specified in the proposed marketing agreements and the orders are such prices as will reflect the aforesaid factors, ensure a sufficient quantity of pure and wholesome milk, and be in the public interest; and c. The proposed marketing agreements and the orders will regulate the handling of milk in the same manner as and will be applicable only to persons in the respective classes of industrial and commercial activity specified in, the marketing agreements upon which a hearing have been held. d. All milk and milk products handled by handlers, as defined in the marketing agreements and the orders as hereby proposed to be amended, are in the current of interstate commerce or directly burden, obstruct, or affect interstate commerce in milk or its products. Rulings on Proposed Findings and Conclusions Briefs, proposed findings, and conclusions were filed on behalf of certain interested parties. These briefs, proposed findings, conclusions, and the evidence in the record were considered in making the findings and conclusions set forth above. To the extent that the suggested findings and conclusions filed by interested parties are inconsistent with the findings and conclusions set forth herein, the claims to make such findings or reach such conclusions are denied for the reasons previously stated in this decision. Recommended Marketing Agreements and Orders The recommended marketing agreements are not included in this decision because the regulatory provisions thereof would be the same as those contained in the orders, as hereby proposed to be amended. The following orders regulating the handling of milk in Northeast, Appalachian, Florida, Southeast, Upper Midwest, Central, Mideast, California, Pacific Northwest, Southwest, and Arizona marketing areas are recommended as the detailed and appropriate means by which the foregoing conclusions may be carried out. General Findings The findings and determinations hereinafter set forth supplement those that were made when the Northeast, List of Subjects in 7 CFR Parts 1000, 1001, 1005, 1006, 1007, 1030, 1032, 1033, 1051, 1124, 1126, and 1131 Milk marketing orders. PO 00000 Frm 00060 Fmt 4701 Sfmt 4702 E:\FR\FM\15JYP3.SGM 15JYP3 Federal Register / Vol. 89, No. 135 / Monday, July 15, 2024 / Proposed Rules For the reasons set forth in the preamble, AMS proposes to amend 7 CFR parts 1000, 1001, 1005, 1006, 1007, 1030, 1032, 1033, 1051, 1124, 1126, and 1131 as follows: PART 1000—GENERAL PROVISIONS OF FEDERAL MILK MARKETING ORDERS 1. The authority citation for 7 CFR part 1000 continues to read as follows: ■ Authority: 7 U.S.C. 601–674, and 7253. 2. Amend § 1000.43 by removing the words ‘‘and § 1135.11 of this chapter’’ from paragraph (a) and paragraph (b) introductory text and the words ‘‘or § 1135.11 of this chapter’’ from paragraph (b)(2) and by adding paragraph (e) to read as follows: ■ § 1000.43 General classification rules. * * * * * (e) Any skim milk used in ultrapasteurized or aseptically processed and packaged fluid milk products shall be allocated in combination with Class I milk and the quantity of producer milk eligible to be priced shall be limited to available Class I producer milk classified pursuant to § 1000.44(a). ■ 3. Revise and republish § 1000.50 to read as follows: ddrumheller on DSK120RN23PROD with PROPOSALS3 § 1000.50 Class prices, component prices, and advanced pricing factors. Class prices per hundredweight of milk containing 3.5 percent butterfat, component prices, and advanced pricing factors shall be as follows. The prices and pricing factors described in paragraphs (a), (b), (c), (e), (f), and (q) of this section shall be based on a weighted average of the most recent 2 weekly prices announced by the Agriculture Marketing Service (AMS) before the 24th day of the month. These prices shall be announced on or before the 23rd day of the month and shall apply to milk received during the following month. The prices described in paragraphs (g) through (p) of this section shall be based on a weighted average for the preceding month of weekly prices announced by AMS on or before the 5th day of the month and shall apply to milk received during the preceding month. The price described in paragraph (d) of this section shall be derived from the Class II skim milk price announced on or before the 23rd day of the month preceding the month to which it applies and the butterfat price announced on or before the 5th day of the month following the month to which it applies. (a) Class I price. The Class I price per hundredweight, rounded to the nearest cent, shall be 0.965 times the Class I VerDate Sep<11>2014 19:40 Jul 12, 2024 Jkt 262001 skim milk price plus 3.5 times the Class I butterfat price. (b) Class I skim milk price. The Class I skim milk price per hundredweight shall be the adjusted Class I differential specified in § 1000.52, plus the higher of the advanced pricing factors computed in paragraph (q)(1) or (2) of this section rounded to the nearest cent. (c) Class I butterfat price. The Class I butterfat price per pound shall be the adjusted Class I differential specified in § 1000.52 divided by 100, plus the advanced butterfat price computed in paragraph (q)(3) of this section. (d) Class II price. The Class II price per hundredweight, rounded to the nearest cent, shall be .965 times the Class II skim milk price plus 3.5 times the Class II butterfat price. (e) Class II skim milk price. The Class II skim milk price per hundredweight shall be the advanced Class IV skim milk price computed in paragraph (q)(2) of this section plus 70 cents. (f) Class II nonfat solids price. The Class II nonfat solids price per pound, rounded to the nearest one-hundredth cent, shall be the Class II skim milk price divided by 9.3. (g) Class II butterfat price. The Class II butterfat price per pound shall be the butterfat price plus $0.007. (h) Class III price. The Class III price per hundredweight, rounded to the nearest cent, shall be 0.965 times the Class III skim milk price plus 3.5 times the butterfat price. (i) Class III skim milk price. The Class III skim milk price per hundredweight, rounded to the nearest cent, shall be the protein price per pound times 3.30 plus the other solids price per pound times 6.00. (j) Class IV price. The Class IV price per hundredweight, rounded to the nearest cent, shall be 0.965 times the Class IV skim milk price plus 3.5 times the butterfat price. (k) Class IV skim milk price. The Class IV skim milk price per hundredweight, rounded to the nearest cent, shall be the nonfat solids price per pound times 9.30. (l) Butterfat price. The butterfat price per pound, rounded to the nearest onehundredth cent, shall be the U.S. average AMS AA Butter survey price reported by the Department for the month, less 22.57 cents, with the result multiplied by 1.211. (m) Nonfat solids price. The nonfat solids price per pound, rounded to the nearest one-hundredth cent, shall be the U.S. average AMS nonfat dry milk survey price reported by the Department for the month, less 22.68 cents and multiplying the result by 0.99. PO 00000 Frm 00061 Fmt 4701 Sfmt 4702 57639 (n) Protein price. The protein price per pound, rounded to the nearest onehundredth cent, shall be computed as follows: (1) The U.S. average AMS survey price for 40-lb. block cheese reported by the Department for the month; (2) Subtract 25.04 cents from the price computed pursuant to paragraph (n)(1) of this section and multiply the result by 1.383; (3) Add to the amount computed pursuant to paragraph (n)(2) of this section an amount computed as follows: (i) Subtract 25.04 cents from the price computed pursuant to paragraph (n)(1) of this section and multiply the result by 1.589; and (ii) Subtract 0.91 times the butterfat price computed pursuant to paragraph (l) of this section from the amount computed pursuant to paragraph (n)(3)(i) of this section; and (iii) Multiply the amount computed pursuant to paragraph (n)(3)(ii) of this section by 1.17. (o) Other solids price. The other solids price per pound, rounded to the nearest one-hundredth cent, shall be the U.S. average AMS dry whey survey price reported by the Department for the month minus 26.53 cents, with the result multiplied by 1.03. (p) Somatic cell adjustment. The somatic cell adjustment per hundredweight of milk shall be determined as follows: (1) Multiply 0.0005 by the weighted average price computed pursuant to paragraph (n)(1) of this section and round to the 5th decimal place; (2) Subtract the somatic cell count of the milk (reported in thousands) from 350; and (3) Multiply the amount computed in paragraph (p)(1) of this section by the amount computed in paragraph (p)(2) of this section and round to the nearest full cent. (q) Advanced pricing factors. For the purpose of computing the Class I skim milk price, the Class II skim milk price, the Class II nonfat solids price, and the Class I butterfat price for the following month, the following pricing factors shall be computed using the weighted average of the 2 most recent AMS U.S. average weekly survey prices announced before the 24th day of the month: (1) An advanced Class III skim milk price per hundredweight, rounded to the nearest cent, shall be computed as follows: (i) Following the procedure set forth in paragraphs (n) and (o) of this section, but using the weighted average of the 2 most recent AMS U.S. average weekly survey prices announced before the 24th E:\FR\FM\15JYP3.SGM 15JYP3 57640 Federal Register / Vol. 89, No. 135 / Monday, July 15, 2024 / Proposed Rules day of the month, compute a protein price and an other solids price; (ii) Multiply the protein price computed in paragraph (q)(1)(i) of this section by 3.30; (iii) Multiply the other solids price per pound computed in paragraph (q)(1)(i) of this section by 6.0; and (iv) Add the amounts computed in paragraphs (q)(1)(ii) and (iii) of this section. (2) An advanced Class IV skim milk price per hundredweight, rounded to the nearest cent, shall be computed as follows: (i) Following the procedure set forth in paragraph (m) of this section, but using the weighted average of the 2 most recent AMS U.S. average weekly survey prices announced before the 24th day of the month, compute a nonfat solids price; and (ii) Multiply the nonfat solids price computed in paragraph (q)(2)(i) of this section by 9.30. (3) An advanced butterfat price per pound rounded to the nearest onehundredth cent, shall be calculated by computing a weighted average of the 2 most recent U.S. average AMS AA Butter survey prices announced before the 24th day of the month, subtracting 22.57 cents from this average, and multiplying the result by 1.211. (r) Class I Extended Shelf Life (ESL) adjustment. The Class I ESL adjustment, rounded to the nearest cent, shall be computed as follows: (1) Compute the simple average of the advanced pricing factors computed in paragraphs (q)(1) and (2) of this section; (2) Add the following: (i) Determine the higher of the advanced pricing factors computed in paragraphs (q)(1) and (2) of this section, for each of the preceding 13 to 36 months; (ii) Calculate the average of the advanced pricing factors computed in paragraphs (q)(1) and (2) of this section, for each of the preceding 13 to 36 months; (iii) For each of the preceding 13 to 36 months, subtract the amount computed in paragraph (r)(2)(ii) of this section from the amount computed in paragraph (r)(2)(i) of this section; and (iv) Compute the average of the differences computed in paragraph (r)(2)(iii) of this section. (3) Subtract the higher of the advanced pricing factors computed in paragraphs (q)(1) and (2) of this section. ■ 4. Revise and republish § 1000.52 to read as follows: § 1000.52 ddrumheller on DSK120RN23PROD with PROPOSALS3 County/parish/city State Autauga ............................................................................................................................................... Baldwin ................................................................................................................................................ Barbour ................................................................................................................................................ Bibb ...................................................................................................................................................... Blount ................................................................................................................................................... Bullock ................................................................................................................................................. Butler ................................................................................................................................................... Calhoun ............................................................................................................................................... Chambers ............................................................................................................................................ Cherokee ............................................................................................................................................. Chilton .................................................................................................................................................. Choctaw ............................................................................................................................................... Clarke .................................................................................................................................................. Clay ...................................................................................................................................................... Cleburne .............................................................................................................................................. Coffee .................................................................................................................................................. Colbert ................................................................................................................................................. Conecuh .............................................................................................................................................. Coosa .................................................................................................................................................. Covington ............................................................................................................................................. Crenshaw ............................................................................................................................................. Cullman ................................................................................................................................................ Dale ..................................................................................................................................................... Dallas ................................................................................................................................................... DeKalb ................................................................................................................................................. Elmore ................................................................................................................................................. Escambia ............................................................................................................................................. Etowah ................................................................................................................................................. Fayette ................................................................................................................................................. Franklin ................................................................................................................................................ Geneva ................................................................................................................................................ Greene ................................................................................................................................................. Hale ..................................................................................................................................................... Henry ................................................................................................................................................... Houston ............................................................................................................................................... Jackson ................................................................................................................................................ Jefferson .............................................................................................................................................. Lamar ................................................................................................................................................... Lauderdale ........................................................................................................................................... Lawrence ............................................................................................................................................. Lee ....................................................................................................................................................... Limestone ............................................................................................................................................ Lowndes .............................................................................................................................................. VerDate Sep<11>2014 19:40 Jul 12, 2024 Jkt 262001 PO 00000 Frm 00062 Adjusted Class I differentials. The Class I differential adjusted for location to be used in § 1000.50(b) and (c) shall be as follows: Fmt 4701 Sfmt 4702 AL AL AL AL AL AL AL AL AL AL AL AL AL AL AL AL AL AL AL AL AL AL AL AL AL AL AL AL AL AL AL AL AL AL AL AL AL AL AL AL AL AL AL E:\FR\FM\15JYP3.SGM FIPS code 01001 01003 01005 01007 01009 01011 01013 01015 01017 01019 01021 01023 01025 01027 01029 01031 01033 01035 01037 01039 01041 01043 01045 01047 01049 01051 01053 01055 01057 01059 01061 01063 01065 01067 01069 01071 01073 01075 01077 01079 01081 01083 01085 15JYP3 Class I differential adjusted for location 5.80 5.80 5.80 5.60 5.40 5.80 5.80 5.60 5.60 5.40 5.60 5.80 5.80 5.60 5.60 5.80 4.90 5.80 5.60 5.80 5.80 5.40 5.80 5.80 5.40 5.80 5.80 5.40 5.40 5.20 5.80 5.60 5.60 5.80 5.80 5.20 5.60 5.40 4.90 5.20 5.80 5.20 5.80 Federal Register / Vol. 89, No. 135 / Monday, July 15, 2024 / Proposed Rules ddrumheller on DSK120RN23PROD with PROPOSALS3 County/parish/city State Macon .................................................................................................................................................. Madison ............................................................................................................................................... Marengo ............................................................................................................................................... Marion .................................................................................................................................................. Marshall ............................................................................................................................................... Mobile .................................................................................................................................................. Monroe ................................................................................................................................................. Montgomery ......................................................................................................................................... Morgan ................................................................................................................................................. Perry .................................................................................................................................................... Pickens ................................................................................................................................................ Pike ...................................................................................................................................................... Randolph ............................................................................................................................................. Russell ................................................................................................................................................. Shelby .................................................................................................................................................. St. Clair ................................................................................................................................................ Sumter ................................................................................................................................................. Talladega ............................................................................................................................................. Tallapoosa ........................................................................................................................................... Tuscaloosa .......................................................................................................................................... Walker .................................................................................................................................................. Washington .......................................................................................................................................... Wilcox .................................................................................................................................................. Winston ................................................................................................................................................ Arkansas .............................................................................................................................................. Ashley .................................................................................................................................................. Baxter .................................................................................................................................................. Benton ................................................................................................................................................. Boone .................................................................................................................................................. Bradley ................................................................................................................................................. Calhoun ............................................................................................................................................... Carroll .................................................................................................................................................. Chicot ................................................................................................................................................... Clark .................................................................................................................................................... Clay ...................................................................................................................................................... Cleburne .............................................................................................................................................. Cleveland ............................................................................................................................................. Columbia .............................................................................................................................................. Conway ................................................................................................................................................ Craighead ............................................................................................................................................ Crawford .............................................................................................................................................. Crittenden ............................................................................................................................................ Cross ................................................................................................................................................... Dallas ................................................................................................................................................... Desha .................................................................................................................................................. Drew .................................................................................................................................................... Faulkner ............................................................................................................................................... Franklin ................................................................................................................................................ Fulton ................................................................................................................................................... Garland ................................................................................................................................................ Grant .................................................................................................................................................... Greene ................................................................................................................................................. Hempstead .......................................................................................................................................... Hot Spring ............................................................................................................................................ Howard ................................................................................................................................................ Independence ...................................................................................................................................... Izard ..................................................................................................................................................... Jackson ................................................................................................................................................ Jefferson .............................................................................................................................................. Johnson ............................................................................................................................................... Lafayette .............................................................................................................................................. Lawrence ............................................................................................................................................. Lee ....................................................................................................................................................... Lincoln ................................................................................................................................................. Little River ............................................................................................................................................ Logan ................................................................................................................................................... Lonoke ................................................................................................................................................. Madison ............................................................................................................................................... Marion .................................................................................................................................................. Miller .................................................................................................................................................... Mississippi ........................................................................................................................................... VerDate Sep<11>2014 19:40 Jul 12, 2024 Jkt 262001 PO 00000 Frm 00063 Fmt 4701 Sfmt 4702 AL AL AL AL AL AL AL AL AL AL AL AL AL AL AL AL AL AL AL AL AL AL AL AL AR AR AR AR AR AR AR AR AR AR AR AR AR AR AR AR AR AR AR AR AR AR AR AR AR AR AR AR AR AR AR AR AR AR AR AR AR AR AR AR AR AR AR AR AR AR AR E:\FR\FM\15JYP3.SGM FIPS code 01087 01089 01091 01093 01095 01097 01099 01101 01103 01105 01107 01109 01111 01113 01117 01115 01119 01121 01123 01125 01127 01129 01131 01133 05001 05003 05005 05007 05009 05011 05013 05015 05017 05019 05021 05023 05025 05027 05029 05031 05033 05035 05037 05039 05041 05043 05045 05047 05049 05051 05053 05055 05057 05059 05061 05063 05065 05067 05069 05071 05073 05075 05077 05079 05081 05083 05085 05087 05089 05091 05093 15JYP3 57641 Class I differential adjusted for location 5.80 5.20 5.80 5.20 5.40 5.80 5.80 5.80 5.40 5.60 5.40 5.80 5.60 5.80 5.60 5.60 5.60 5.60 5.60 5.60 5.40 5.80 5.80 5.40 4.60 4.90 3.60 3.20 3.30 4.60 4.60 3.30 4.90 4.00 4.30 4.00 4.60 4.30 4.00 4.30 3.30 4.60 4.30 4.30 4.90 4.60 4.00 3.60 4.00 4.00 4.30 4.30 4.00 4.30 4.00 4.00 4.00 4.30 4.60 3.60 4.30 4.30 4.60 4.60 3.60 3.60 4.30 3.30 3.60 4.00 4.30 57642 Federal Register / Vol. 89, No. 135 / Monday, July 15, 2024 / Proposed Rules ddrumheller on DSK120RN23PROD with PROPOSALS3 County/parish/city State Monroe ................................................................................................................................................. Montgomery ......................................................................................................................................... Nevada ................................................................................................................................................ Newton ................................................................................................................................................. Ouachita .............................................................................................................................................. Perry .................................................................................................................................................... Phillips ................................................................................................................................................. Pike ...................................................................................................................................................... Poinsett ................................................................................................................................................ Polk ...................................................................................................................................................... Pope .................................................................................................................................................... Prairie .................................................................................................................................................. Pulaski ................................................................................................................................................. Randolph ............................................................................................................................................. Saline ................................................................................................................................................... Scott ..................................................................................................................................................... Searcy .................................................................................................................................................. Sebastian ............................................................................................................................................. Sevier ................................................................................................................................................... Sharp ................................................................................................................................................... St. Francis ........................................................................................................................................... Stone ................................................................................................................................................... Union ................................................................................................................................................... Van Buren ............................................................................................................................................ Washington .......................................................................................................................................... White .................................................................................................................................................... Woodruff .............................................................................................................................................. Yell ....................................................................................................................................................... Apache ................................................................................................................................................. Cochise ................................................................................................................................................ Coconino .............................................................................................................................................. Gila ...................................................................................................................................................... Graham ................................................................................................................................................ Greenlee .............................................................................................................................................. La Paz ................................................................................................................................................. Maricopa .............................................................................................................................................. Mohave ................................................................................................................................................ Navajo .................................................................................................................................................. Pima ..................................................................................................................................................... Pinal ..................................................................................................................................................... Santa Cruz ........................................................................................................................................... Yavapai ................................................................................................................................................ Yuma ................................................................................................................................................... Alameda ............................................................................................................................................... Alpine ................................................................................................................................................... Amador ................................................................................................................................................ Butte .................................................................................................................................................... Calaveras ............................................................................................................................................. Colusa .................................................................................................................................................. Contra Costa ....................................................................................................................................... Del Norte ............................................................................................................................................. El Dorado ............................................................................................................................................. Fresno .................................................................................................................................................. Glenn ................................................................................................................................................... Humboldt ............................................................................................................................................. Imperial ................................................................................................................................................ Inyo ...................................................................................................................................................... Kern ..................................................................................................................................................... Kings .................................................................................................................................................... Lake ..................................................................................................................................................... Lassen ................................................................................................................................................. Los Angeles ......................................................................................................................................... Madera ................................................................................................................................................. Marin .................................................................................................................................................... Mariposa .............................................................................................................................................. Mendocino ........................................................................................................................................... Merced ................................................................................................................................................. Modoc .................................................................................................................................................. Mono .................................................................................................................................................... Monterey .............................................................................................................................................. Napa .................................................................................................................................................... VerDate Sep<11>2014 19:40 Jul 12, 2024 Jkt 262001 PO 00000 Frm 00064 Fmt 4701 Sfmt 4702 AR AR AR AR AR AR AR AR AR AR AR AR AR AR AR AR AR AR AR AR AR AR AR AR AR AR AR AR AZ AZ AZ AZ AZ AZ AZ AZ AZ AZ AZ AZ AZ AZ AZ CA CA CA CA CA CA CA CA CA CA CA CA CA CA CA CA CA CA CA CA CA CA CA CA CA CA CA CA E:\FR\FM\15JYP3.SGM FIPS code 05095 05097 05099 05101 05103 05105 05107 05109 05111 05113 05115 05117 05119 05121 05125 05127 05129 05131 05133 05135 05123 05137 05139 05141 05143 05145 05147 05149 04001 04003 04005 04007 04009 04011 04012 04013 04015 04017 04019 04021 04023 04025 04027 06001 06003 06005 06007 06009 06011 06013 06015 06017 06019 06021 06023 06025 06027 06029 06031 06033 06035 06037 06039 06041 06043 06045 06047 06049 06051 06053 06055 15JYP3 Class I differential adjusted for location 4.60 4.00 4.30 3.60 4.30 4.00 4.60 4.00 4.30 3.60 3.60 4.30 4.30 4.00 4.30 3.60 3.60 3.60 3.60 4.00 4.60 4.00 4.60 4.00 3.30 4.30 4.30 3.60 2.30 2.40 2.40 2.40 2.40 2.40 2.50 2.60 2.50 2.30 2.40 2.60 2.40 2.40 2.50 2.40 1.80 1.80 2.00 1.80 2.20 2.40 2.20 1.80 2.20 2.20 2.20 2.50 2.20 2.50 2.20 2.20 2.00 2.80 2.20 2.40 1.80 2.20 2.20 2.00 2.00 2.50 2.40 Federal Register / Vol. 89, No. 135 / Monday, July 15, 2024 / Proposed Rules ddrumheller on DSK120RN23PROD with PROPOSALS3 County/parish/city State Nevada ................................................................................................................................................ Orange ................................................................................................................................................. Placer ................................................................................................................................................... Plumas ................................................................................................................................................. Riverside .............................................................................................................................................. Sacramento ......................................................................................................................................... San Benito ........................................................................................................................................... San Bernardino .................................................................................................................................... San Diego ............................................................................................................................................ San Francisco ...................................................................................................................................... San Joaquin ......................................................................................................................................... San Luis Obispo .................................................................................................................................. San Mateo ........................................................................................................................................... Santa Barbara ..................................................................................................................................... Santa Clara .......................................................................................................................................... Santa Cruz ........................................................................................................................................... Shasta .................................................................................................................................................. Sierra ................................................................................................................................................... Siskiyou ............................................................................................................................................... Solano .................................................................................................................................................. Sonoma ............................................................................................................................................... Stanislaus ............................................................................................................................................ Sutter ................................................................................................................................................... Tehama ................................................................................................................................................ Trinity ................................................................................................................................................... Tulare ................................................................................................................................................... Tuolumne ............................................................................................................................................. Ventura ................................................................................................................................................ Yolo ...................................................................................................................................................... Yuba .................................................................................................................................................... Adams .................................................................................................................................................. Alamosa ............................................................................................................................................... Arapahoe ............................................................................................................................................. Archuleta .............................................................................................................................................. Baca ..................................................................................................................................................... Bent ..................................................................................................................................................... Boulder ................................................................................................................................................ Broomfield ............................................................................................................................................ Chaffee ................................................................................................................................................ Cheyenne ............................................................................................................................................ Clear Creek ......................................................................................................................................... Conejos ................................................................................................................................................ Costilla ................................................................................................................................................. Crowley ................................................................................................................................................ Custer .................................................................................................................................................. Delta .................................................................................................................................................... Denver ................................................................................................................................................. Dolores ................................................................................................................................................ Douglas ................................................................................................................................................ Eagle .................................................................................................................................................... El Paso ................................................................................................................................................ Elbert ................................................................................................................................................... Fremont ............................................................................................................................................... Garfield ................................................................................................................................................ Gilpin .................................................................................................................................................... Grand ................................................................................................................................................... Gunnison ............................................................................................................................................. Hinsdale ............................................................................................................................................... Huerfano .............................................................................................................................................. Jackson ................................................................................................................................................ Jefferson .............................................................................................................................................. Kiowa ................................................................................................................................................... Kit Carson ............................................................................................................................................ La Plata ............................................................................................................................................... Lake ..................................................................................................................................................... Larimer ................................................................................................................................................. Las Animas .......................................................................................................................................... Lincoln ................................................................................................................................................. Logan ................................................................................................................................................... Mesa .................................................................................................................................................... Mineral ................................................................................................................................................. VerDate Sep<11>2014 19:40 Jul 12, 2024 Jkt 262001 PO 00000 Frm 00065 Fmt 4701 Sfmt 4702 CA CA CA CA CA CA CA CA CA CA CA CA CA CA CA CA CA CA CA CA CA CA CA CA CA CA CA CA CA CA CO CO CO CO CO CO CO CO CO CO CO CO CO CO CO CO CO CO CO CO CO CO CO CO CO CO CO CO CO CO CO CO CO CO CO CO CO CO CO CO CO E:\FR\FM\15JYP3.SGM FIPS code 06057 06059 06061 06063 06065 06067 06069 06071 06073 06075 06077 06079 06081 06083 06085 06087 06089 06091 06093 06095 06097 06099 06101 06103 06105 06107 06109 06111 06113 06115 08001 08003 08005 08007 08009 08011 08013 08014 08015 08017 08019 08021 08023 08025 08027 08029 08031 08033 08035 08037 08041 08039 08043 08045 08047 08049 08051 08053 08055 08057 08059 08061 08063 08067 08065 08069 08071 08073 08075 08077 08079 15JYP3 57643 Class I differential adjusted for location 2.00 2.80 2.00 2.00 2.80 2.20 2.50 2.60 2.80 2.50 2.20 2.50 2.50 2.50 2.50 2.50 2.00 2.00 2.00 2.40 2.40 2.20 2.20 2.20 2.00 2.20 1.80 2.60 2.20 2.00 2.70 2.50 2.70 2.30 2.50 2.50 2.50 2.50 2.50 2.50 2.50 2.50 2.50 2.70 2.70 2.30 2.70 2.30 2.70 2.50 2.70 2.70 2.70 2.30 2.50 2.50 2.50 2.30 2.70 2.50 2.70 2.50 2.50 2.30 2.50 2.50 2.50 2.70 2.50 2.30 2.50 57644 Federal Register / Vol. 89, No. 135 / Monday, July 15, 2024 / Proposed Rules ddrumheller on DSK120RN23PROD with PROPOSALS3 County/parish/city State Moffat ................................................................................................................................................... Montezuma .......................................................................................................................................... Montrose .............................................................................................................................................. Morgan ................................................................................................................................................. Otero .................................................................................................................................................... Ouray ................................................................................................................................................... Park ..................................................................................................................................................... Phillips ................................................................................................................................................. Pitkin .................................................................................................................................................... Prowers ................................................................................................................................................ Pueblo .................................................................................................................................................. Rio Blanco ........................................................................................................................................... Rio Grande .......................................................................................................................................... Routt .................................................................................................................................................... Saguache ............................................................................................................................................. San Juan ............................................................................................................................................. San Miguel ........................................................................................................................................... Sedgwick ............................................................................................................................................. Summit ................................................................................................................................................. Teller .................................................................................................................................................... Washington .......................................................................................................................................... Weld ..................................................................................................................................................... Yuma ................................................................................................................................................... Fairfield ................................................................................................................................................ Hartford ................................................................................................................................................ Litchfield ............................................................................................................................................... Middlesex ............................................................................................................................................. New Haven .......................................................................................................................................... New London ........................................................................................................................................ Tolland ................................................................................................................................................. Windham .............................................................................................................................................. District of Columbia ............................................................................................................................. Kent ..................................................................................................................................................... New Castle .......................................................................................................................................... Sussex ................................................................................................................................................. Alachua ................................................................................................................................................ Baker ................................................................................................................................................... Bay ....................................................................................................................................................... Bradford ............................................................................................................................................... Brevard ................................................................................................................................................ Broward ............................................................................................................................................... Calhoun ............................................................................................................................................... Charlotte .............................................................................................................................................. Citrus ................................................................................................................................................... Clay ...................................................................................................................................................... Collier ................................................................................................................................................... Columbia .............................................................................................................................................. DeSoto ................................................................................................................................................. Dixie ..................................................................................................................................................... Duval .................................................................................................................................................... Escambia ............................................................................................................................................. Flagler .................................................................................................................................................. Franklin ................................................................................................................................................ Gadsden .............................................................................................................................................. Gilchrist ................................................................................................................................................ Glades ................................................................................................................................................. Gulf ...................................................................................................................................................... Hamilton ............................................................................................................................................... Hardee ................................................................................................................................................. Hendry ................................................................................................................................................. Hernando ............................................................................................................................................. Highlands ............................................................................................................................................. Hillsborough ......................................................................................................................................... Holmes ................................................................................................................................................. Indian River ......................................................................................................................................... Jackson ................................................................................................................................................ Jefferson .............................................................................................................................................. Lafayette .............................................................................................................................................. Lake ..................................................................................................................................................... Lee ....................................................................................................................................................... Leon ..................................................................................................................................................... VerDate Sep<11>2014 19:40 Jul 12, 2024 Jkt 262001 PO 00000 Frm 00066 Fmt 4701 Sfmt 4702 CO CO CO CO CO CO CO CO CO CO CO CO CO CO CO CO CO CO CO CO CO CO CO CT CT CT CT CT CT CT CT DC DE DE DE FL FL FL FL FL FL FL FL FL FL FL FL FL FL FL FL FL FL FL FL FL FL FL FL FL FL FL FL FL FL FL FL FL FL FL FL E:\FR\FM\15JYP3.SGM FIPS code 08081 08083 08085 08087 08089 08091 08093 08095 08097 08099 08101 08103 08105 08107 08109 08111 08113 08115 08117 08119 08121 08123 08125 09001 09003 09005 09007 09009 09011 09013 09015 11001 10001 10003 10005 12001 12003 12005 12007 12009 12011 12013 12015 12017 12019 12021 12023 12027 12029 12031 12033 12035 12037 12039 12041 12043 12045 12047 12049 12051 12053 12055 12057 12059 12061 12063 12065 12067 12069 12071 12073 15JYP3 Class I differential adjusted for location 2.30 2.30 2.30 2.50 2.70 2.30 2.70 2.50 2.50 2.50 2.70 2.30 2.50 2.50 2.50 2.30 2.30 2.50 2.50 2.70 2.50 2.50 2.50 5.00 4.80 4.80 4.80 4.80 4.80 4.80 4.80 4.70 4.60 4.40 4.80 6.40 6.40 6.00 6.40 6.80 7.40 6.00 7.00 6.80 6.40 7.40 6.40 7.00 6.40 6.40 5.80 6.80 6.00 6.00 6.40 7.00 6.00 6.40 7.00 7.40 6.80 7.00 6.80 6.00 7.00 6.00 6.00 6.40 6.80 7.00 6.00 Federal Register / Vol. 89, No. 135 / Monday, July 15, 2024 / Proposed Rules ddrumheller on DSK120RN23PROD with PROPOSALS3 County/parish/city State Levy ..................................................................................................................................................... Liberty .................................................................................................................................................. Madison ............................................................................................................................................... Manatee ............................................................................................................................................... Marion .................................................................................................................................................. Martin ................................................................................................................................................... Miami-Dade ......................................................................................................................................... Monroe ................................................................................................................................................. Nassau ................................................................................................................................................. Okaloosa .............................................................................................................................................. Okeechobee ........................................................................................................................................ Orange ................................................................................................................................................. Osceola ................................................................................................................................................ Palm Beach ......................................................................................................................................... Pasco ................................................................................................................................................... Pinellas ................................................................................................................................................ Polk ...................................................................................................................................................... Putnam ................................................................................................................................................ Santa Rosa .......................................................................................................................................... Sarasota .............................................................................................................................................. Seminole .............................................................................................................................................. St. Johns .............................................................................................................................................. St. Lucie ............................................................................................................................................... Sumter ................................................................................................................................................. Suwannee ............................................................................................................................................ Taylor ................................................................................................................................................... Union ................................................................................................................................................... Volusia ................................................................................................................................................. Wakulla ................................................................................................................................................ Walton .................................................................................................................................................. Washington .......................................................................................................................................... Appling ................................................................................................................................................. Atkinson ............................................................................................................................................... Bacon ................................................................................................................................................... Baker ................................................................................................................................................... Baldwin ................................................................................................................................................ Banks ................................................................................................................................................... Barrow ................................................................................................................................................. Bartow .................................................................................................................................................. Ben Hill ................................................................................................................................................ Berrien ................................................................................................................................................. Bibb ...................................................................................................................................................... Bleckley ............................................................................................................................................... Brantley ................................................................................................................................................ Brooks .................................................................................................................................................. Bryan ................................................................................................................................................... Bulloch ................................................................................................................................................. Burke ................................................................................................................................................... Butts ..................................................................................................................................................... Calhoun ............................................................................................................................................... Camden ............................................................................................................................................... Candler ................................................................................................................................................ Carroll .................................................................................................................................................. Catoosa ............................................................................................................................................... Charlton ............................................................................................................................................... Chatham .............................................................................................................................................. Chattahoochee .................................................................................................................................... Chattooga ............................................................................................................................................ Cherokee ............................................................................................................................................. Clarke .................................................................................................................................................. Clay ...................................................................................................................................................... Clayton ................................................................................................................................................. Clinch ................................................................................................................................................... Cobb .................................................................................................................................................... Coffee .................................................................................................................................................. Colquitt ................................................................................................................................................. Columbia .............................................................................................................................................. Cook .................................................................................................................................................... Coweta ................................................................................................................................................. Crawford .............................................................................................................................................. Crisp .................................................................................................................................................... VerDate Sep<11>2014 19:40 Jul 12, 2024 Jkt 262001 PO 00000 Frm 00067 Fmt 4701 Sfmt 4702 FL FL FL FL FL FL FL FL FL FL FL FL FL FL FL FL FL FL FL FL FL FL FL FL FL FL FL FL FL FL FL GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA E:\FR\FM\15JYP3.SGM FIPS code 12075 12077 12079 12081 12083 12085 12086 12087 12089 12091 12093 12095 12097 12099 12101 12103 12105 12107 12113 12115 12117 12109 12111 12119 12121 12123 12125 12127 12129 12131 12133 13001 13003 13005 13007 13009 13011 13013 13015 13017 13019 13021 13023 13025 13027 13029 13031 13033 13035 13037 13039 13043 13045 13047 13049 13051 13053 13055 13057 13059 13061 13063 13065 13067 13069 13071 13073 13075 13077 13079 13081 15JYP3 57645 Class I differential adjusted for location 6.40 6.00 6.00 7.00 6.80 7.00 7.40 7.40 6.40 5.80 7.00 6.80 6.80 7.40 6.80 6.80 6.80 6.40 5.80 7.00 6.80 6.40 7.00 6.80 6.40 6.40 6.40 6.80 6.00 6.00 6.00 6.00 6.00 6.00 5.80 5.80 5.60 5.80 5.60 6.00 6.00 5.80 5.80 6.00 6.00 6.00 6.00 6.00 5.80 5.80 6.00 6.00 5.60 5.40 6.00 6.00 5.80 5.40 5.60 5.80 5.80 5.80 6.00 5.60 6.00 6.00 5.80 6.00 5.80 5.80 5.80 57646 Federal Register / Vol. 89, No. 135 / Monday, July 15, 2024 / Proposed Rules ddrumheller on DSK120RN23PROD with PROPOSALS3 County/parish/city State Dade .................................................................................................................................................... Dawson ................................................................................................................................................ Decatur ................................................................................................................................................ DeKalb ................................................................................................................................................. Dodge .................................................................................................................................................. Dooly .................................................................................................................................................... Dougherty ............................................................................................................................................ Douglas ................................................................................................................................................ Early ..................................................................................................................................................... Echols .................................................................................................................................................. Effingham ............................................................................................................................................. Elbert ................................................................................................................................................... Emanuel ............................................................................................................................................... Evans ................................................................................................................................................... Fannin .................................................................................................................................................. Fayette ................................................................................................................................................. Floyd .................................................................................................................................................... Forsyth ................................................................................................................................................. Franklin ................................................................................................................................................ Fulton ................................................................................................................................................... Gilmer .................................................................................................................................................. Glascock .............................................................................................................................................. Glynn ................................................................................................................................................... Gordon ................................................................................................................................................. Grady ................................................................................................................................................... Greene ................................................................................................................................................. Gwinnett ............................................................................................................................................... Habersham .......................................................................................................................................... Hall ....................................................................................................................................................... Hancock ............................................................................................................................................... Haralson .............................................................................................................................................. Harris ................................................................................................................................................... Hart ...................................................................................................................................................... Heard ................................................................................................................................................... Henry ................................................................................................................................................... Houston ............................................................................................................................................... Irwin ..................................................................................................................................................... Jackson ................................................................................................................................................ Jasper .................................................................................................................................................. Jeff Davis ............................................................................................................................................. Jefferson .............................................................................................................................................. Jenkins ................................................................................................................................................. Johnson ............................................................................................................................................... Jones ................................................................................................................................................... Lamar ................................................................................................................................................... Lanier ................................................................................................................................................... Laurens ................................................................................................................................................ Lee ....................................................................................................................................................... Liberty .................................................................................................................................................. Lincoln ................................................................................................................................................. Long ..................................................................................................................................................... Lowndes .............................................................................................................................................. Lumpkin ............................................................................................................................................... Macon .................................................................................................................................................. Madison ............................................................................................................................................... Marion .................................................................................................................................................. McDuffie ............................................................................................................................................... McIntosh .............................................................................................................................................. Meriwether ........................................................................................................................................... Miller .................................................................................................................................................... Mitchell ................................................................................................................................................. Monroe ................................................................................................................................................. Montgomery ......................................................................................................................................... Morgan ................................................................................................................................................. Murray .................................................................................................................................................. Muscogee ............................................................................................................................................ Newton ................................................................................................................................................. Oconee ................................................................................................................................................ Oglethorpe ........................................................................................................................................... Paulding ............................................................................................................................................... Peach ................................................................................................................................................... VerDate Sep<11>2014 19:40 Jul 12, 2024 Jkt 262001 PO 00000 Frm 00068 Fmt 4701 Sfmt 4702 GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA E:\FR\FM\15JYP3.SGM FIPS code 13083 13085 13087 13089 13091 13093 13095 13097 13099 13101 13103 13105 13107 13109 13111 13113 13115 13117 13119 13121 13123 13125 13127 13129 13131 13133 13135 13137 13139 13141 13143 13145 13147 13149 13151 13153 13155 13157 13159 13161 13163 13165 13167 13169 13171 13173 13175 13177 13179 13181 13183 13185 13187 13193 13195 13197 13189 13191 13199 13201 13205 13207 13209 13211 13213 13215 13217 13219 13221 13223 13225 15JYP3 Class I differential adjusted for location 5.40 5.60 6.00 5.80 5.80 5.80 5.80 5.60 5.80 6.00 6.00 5.80 6.00 6.00 5.60 5.80 5.60 5.60 5.60 5.80 5.60 5.80 6.00 5.60 6.00 5.80 5.80 5.60 5.60 5.80 5.60 5.80 5.60 5.60 5.80 5.80 6.00 5.80 5.80 6.00 5.80 6.00 5.80 5.80 5.80 6.00 5.80 5.80 6.00 5.80 6.00 6.00 5.60 5.80 5.80 5.80 5.80 6.00 5.80 5.80 5.80 5.80 6.00 5.80 5.40 5.80 5.80 5.80 5.80 5.60 5.80 Federal Register / Vol. 89, No. 135 / Monday, July 15, 2024 / Proposed Rules ddrumheller on DSK120RN23PROD with PROPOSALS3 County/parish/city State Pickens ................................................................................................................................................ Pierce ................................................................................................................................................... Pike ...................................................................................................................................................... Polk ...................................................................................................................................................... Pulaski ................................................................................................................................................. Putnam ................................................................................................................................................ Quitman ............................................................................................................................................... Rabun .................................................................................................................................................. Randolph ............................................................................................................................................. Richmond ............................................................................................................................................. Rockdale .............................................................................................................................................. Schley .................................................................................................................................................. Screven ................................................................................................................................................ Seminole .............................................................................................................................................. Spalding ............................................................................................................................................... Stephens .............................................................................................................................................. Stewart ................................................................................................................................................. Sumter ................................................................................................................................................. Talbot ................................................................................................................................................... Taliaferro .............................................................................................................................................. Tattnall ................................................................................................................................................. Taylor ................................................................................................................................................... Telfair ................................................................................................................................................... Terrell ................................................................................................................................................... Thomas ................................................................................................................................................ Tift ........................................................................................................................................................ Toombs ................................................................................................................................................ Towns .................................................................................................................................................. Treutlen ................................................................................................................................................ Troup ................................................................................................................................................... Turner .................................................................................................................................................. Twiggs ................................................................................................................................................. Union ................................................................................................................................................... Upson .................................................................................................................................................. Walker .................................................................................................................................................. Walton .................................................................................................................................................. Ware .................................................................................................................................................... Warren ................................................................................................................................................. Washington .......................................................................................................................................... Wayne .................................................................................................................................................. Webster ............................................................................................................................................... Wheeler ............................................................................................................................................... White .................................................................................................................................................... Whitfield ............................................................................................................................................... Wilcox .................................................................................................................................................. Wilkes .................................................................................................................................................. Wilkinson ............................................................................................................................................. Worth ................................................................................................................................................... Adair .................................................................................................................................................... Adams .................................................................................................................................................. Allamakee ............................................................................................................................................ Appanoose ........................................................................................................................................... Audubon .............................................................................................................................................. Benton ................................................................................................................................................. Black Hawk .......................................................................................................................................... Boone .................................................................................................................................................. Bremer ................................................................................................................................................. Buchanan ............................................................................................................................................. Buena Vista ......................................................................................................................................... Butler ................................................................................................................................................... Calhoun ............................................................................................................................................... Carroll .................................................................................................................................................. Cass ..................................................................................................................................................... Cedar ................................................................................................................................................... Cerro Gordo ......................................................................................................................................... Cherokee ............................................................................................................................................. Chickasaw ........................................................................................................................................... Clarke .................................................................................................................................................. Clay ...................................................................................................................................................... Clayton ................................................................................................................................................. Clinton .................................................................................................................................................. VerDate Sep<11>2014 19:40 Jul 12, 2024 Jkt 262001 PO 00000 Frm 00069 Fmt 4701 Sfmt 4702 GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA IA IA IA IA IA IA IA IA IA IA IA IA IA IA IA IA IA IA IA IA IA IA IA E:\FR\FM\15JYP3.SGM FIPS code 13227 13229 13231 13233 13235 13237 13239 13241 13243 13245 13247 13249 13251 13253 13255 13257 13259 13261 13263 13265 13267 13269 13271 13273 13275 13277 13279 13281 13283 13285 13287 13289 13291 13293 13295 13297 13299 13301 13303 13305 13307 13309 13311 13313 13315 13317 13319 13321 19001 19003 19005 19007 19009 19011 19013 19015 19017 19019 19021 19023 19025 19027 19029 19031 19033 19035 19037 19039 19041 19043 19045 15JYP3 57647 Class I differential adjusted for location 5.60 6.00 5.80 5.60 5.80 5.80 5.80 5.60 5.80 6.00 5.80 5.80 6.00 6.00 5.80 5.60 5.80 5.80 5.80 5.80 6.00 5.80 6.00 5.80 6.00 5.80 6.00 5.60 6.00 5.60 5.80 5.80 5.60 5.80 5.40 5.80 6.00 5.80 5.80 6.00 5.80 6.00 5.60 5.40 5.80 5.80 5.80 5.80 2.70 2.90 2.90 2.90 2.70 2.90 2.90 2.70 2.90 2.90 2.60 2.90 2.70 2.70 2.70 3.10 2.90 2.60 2.90 2.90 2.60 2.90 3.10 57648 Federal Register / Vol. 89, No. 135 / Monday, July 15, 2024 / Proposed Rules ddrumheller on DSK120RN23PROD with PROPOSALS3 County/parish/city State Crawford .............................................................................................................................................. Dallas ................................................................................................................................................... Davis .................................................................................................................................................... Decatur ................................................................................................................................................ Delaware .............................................................................................................................................. Des Moines .......................................................................................................................................... Dickinson ............................................................................................................................................. Dubuque .............................................................................................................................................. Emmet ................................................................................................................................................. Fayette ................................................................................................................................................. Floyd .................................................................................................................................................... Franklin ................................................................................................................................................ Fremont ............................................................................................................................................... Greene ................................................................................................................................................. Grundy ................................................................................................................................................. Guthrie ................................................................................................................................................. Hamilton ............................................................................................................................................... Hancock ............................................................................................................................................... Hardin .................................................................................................................................................. Harrison ............................................................................................................................................... Henry ................................................................................................................................................... Howard ................................................................................................................................................ Humboldt ............................................................................................................................................. Ida ........................................................................................................................................................ Iowa ..................................................................................................................................................... Jackson ................................................................................................................................................ Jasper .................................................................................................................................................. Jefferson .............................................................................................................................................. Johnson ............................................................................................................................................... Jones ................................................................................................................................................... Keokuk ................................................................................................................................................. Kossuth ................................................................................................................................................ Lee ....................................................................................................................................................... Linn ...................................................................................................................................................... Louisa .................................................................................................................................................. Lucas ................................................................................................................................................... Lyon ..................................................................................................................................................... Madison ............................................................................................................................................... Mahaska .............................................................................................................................................. Marion .................................................................................................................................................. Marshall ............................................................................................................................................... Mills ...................................................................................................................................................... Mitchell ................................................................................................................................................. Monona ................................................................................................................................................ Monroe ................................................................................................................................................. Montgomery ......................................................................................................................................... Muscatine ............................................................................................................................................ O’Brien ................................................................................................................................................. Osceola ................................................................................................................................................ Page .................................................................................................................................................... Palo Alto .............................................................................................................................................. Plymouth .............................................................................................................................................. Pocahontas .......................................................................................................................................... Polk ...................................................................................................................................................... Pottawattamie ...................................................................................................................................... Poweshiek ........................................................................................................................................... Ringgold ............................................................................................................................................... Sac ....................................................................................................................................................... Scott ..................................................................................................................................................... Shelby .................................................................................................................................................. Sioux .................................................................................................................................................... Story .................................................................................................................................................... Tama .................................................................................................................................................... Taylor ................................................................................................................................................... Union ................................................................................................................................................... Van Buren ............................................................................................................................................ Wapello ................................................................................................................................................ Warren ................................................................................................................................................. Washington .......................................................................................................................................... Wayne .................................................................................................................................................. Webster ............................................................................................................................................... VerDate Sep<11>2014 19:40 Jul 12, 2024 Jkt 262001 PO 00000 Frm 00070 Fmt 4701 Sfmt 4702 IA IA IA IA IA IA IA IA IA IA IA IA IA IA IA IA IA IA IA IA IA IA IA IA IA IA IA IA IA IA IA IA IA IA IA IA IA IA IA IA IA IA IA IA IA IA IA IA IA IA IA IA IA IA IA IA IA IA IA IA IA IA IA IA IA IA IA IA IA IA IA E:\FR\FM\15JYP3.SGM FIPS code 19047 19049 19051 19053 19055 19057 19059 19061 19063 19065 19067 19069 19071 19073 19075 19077 19079 19081 19083 19085 19087 19089 19091 19093 19095 19097 19099 19101 19103 19105 19107 19109 19111 19113 19115 19117 19119 19121 19123 19125 19127 19129 19131 19133 19135 19137 19139 19141 19143 19145 19147 19149 19151 19153 19155 19157 19159 19161 19163 19165 19167 19169 19171 19173 19175 19177 19179 19181 19183 19185 19187 15JYP3 Class I differential adjusted for location 2.60 2.70 2.90 2.90 2.90 3.10 2.70 3.10 2.70 2.90 2.90 2.70 2.70 2.70 2.90 2.70 2.70 2.70 2.70 2.60 2.90 2.80 2.70 2.60 2.90 3.10 2.90 2.90 2.90 3.10 2.90 2.70 3.10 2.90 3.10 2.90 2.60 2.70 2.90 2.90 2.90 2.70 2.80 2.60 2.90 2.70 3.10 2.60 2.70 2.90 2.70 2.60 2.70 2.70 2.70 2.90 2.90 2.60 3.10 2.60 2.60 2.70 2.90 2.90 2.90 2.90 2.90 2.70 2.90 2.90 2.70 Federal Register / Vol. 89, No. 135 / Monday, July 15, 2024 / Proposed Rules ddrumheller on DSK120RN23PROD with PROPOSALS3 County/parish/city State Winnebago ........................................................................................................................................... Winneshiek .......................................................................................................................................... Woodbury ............................................................................................................................................ Worth ................................................................................................................................................... Wright .................................................................................................................................................. Ada ...................................................................................................................................................... Adams .................................................................................................................................................. Bannock ............................................................................................................................................... Bear Lake ............................................................................................................................................ Benewah .............................................................................................................................................. Bingham ............................................................................................................................................... Blaine ................................................................................................................................................... Boise .................................................................................................................................................... Bonner ................................................................................................................................................. Bonneville ............................................................................................................................................ Boundary ............................................................................................................................................. Butte .................................................................................................................................................... Camas ................................................................................................................................................. Canyon ................................................................................................................................................ Caribou ................................................................................................................................................ Cassia .................................................................................................................................................. Clark .................................................................................................................................................... Clearwater ........................................................................................................................................... Custer .................................................................................................................................................. Elmore ................................................................................................................................................. Franklin ................................................................................................................................................ Fremont ............................................................................................................................................... Gem ..................................................................................................................................................... Gooding ............................................................................................................................................... Idaho .................................................................................................................................................... Jefferson .............................................................................................................................................. Jerome ................................................................................................................................................. Kootenai ............................................................................................................................................... Latah .................................................................................................................................................... Lemhi ................................................................................................................................................... Lewis .................................................................................................................................................... Lincoln ................................................................................................................................................. Madison ............................................................................................................................................... Minidoka .............................................................................................................................................. Nez Perce ............................................................................................................................................ Oneida ................................................................................................................................................. Owyhee ................................................................................................................................................ Payette ................................................................................................................................................. Power ................................................................................................................................................... Shoshone ............................................................................................................................................. Teton .................................................................................................................................................... Twin Falls ............................................................................................................................................ Valley ................................................................................................................................................... Washington .......................................................................................................................................... Adams .................................................................................................................................................. Alexander ............................................................................................................................................. Bond .................................................................................................................................................... Boone .................................................................................................................................................. Brown ................................................................................................................................................... Bureau ................................................................................................................................................. Calhoun ............................................................................................................................................... Carroll .................................................................................................................................................. Cass ..................................................................................................................................................... Champaign .......................................................................................................................................... Christian ............................................................................................................................................... Clark .................................................................................................................................................... Clay ...................................................................................................................................................... Clinton .................................................................................................................................................. Coles .................................................................................................................................................... Cook .................................................................................................................................................... Crawford .............................................................................................................................................. Cumberland ......................................................................................................................................... De Witt ................................................................................................................................................. DeKalb ................................................................................................................................................. Douglas ................................................................................................................................................ DuPage ................................................................................................................................................ VerDate Sep<11>2014 19:40 Jul 12, 2024 Jkt 262001 PO 00000 Frm 00071 Fmt 4701 Sfmt 4702 IA IA IA IA IA ID ID ID ID ID ID ID ID ID ID ID ID ID ID ID ID ID ID ID ID ID ID ID ID ID ID ID ID ID ID ID ID ID ID ID ID ID ID ID ID ID ID ID ID IL IL IL IL IL IL IL IL IL IL IL IL IL IL IL IL IL IL IL IL IL IL E:\FR\FM\15JYP3.SGM FIPS code 19189 19191 19193 19195 19197 16001 16003 16005 16007 16009 16011 16013 16015 16017 16019 16021 16023 16025 16027 16029 16031 16033 16035 16037 16039 16041 16043 16045 16047 16049 16051 16053 16055 16057 16059 16061 16063 16065 16067 16069 16071 16073 16075 16077 16079 16081 16083 16085 16087 17001 17003 17005 17007 17009 17011 17013 17015 17017 17019 17021 17023 17025 17027 17029 17031 17033 17035 17039 17037 17041 17043 15JYP3 57649 Class I differential adjusted for location 2.70 2.80 2.60 2.80 2.70 1.70 2.00 2.00 2.20 2.40 2.00 1.80 1.70 2.40 2.00 2.40 2.00 1.80 1.70 2.00 1.70 2.00 2.00 1.80 1.70 2.00 2.00 1.70 1.70 2.00 2.00 1.70 2.40 2.20 1.80 2.00 1.70 2.00 1.70 2.00 2.00 1.80 1.70 2.00 2.20 2.00 1.70 1.80 1.70 3.20 4.00 3.60 3.10 3.40 3.40 3.60 3.20 3.40 3.60 3.60 3.60 3.60 3.60 3.60 3.20 3.60 3.60 3.40 3.20 3.60 3.20 57650 Federal Register / Vol. 89, No. 135 / Monday, July 15, 2024 / Proposed Rules ddrumheller on DSK120RN23PROD with PROPOSALS3 County/parish/city State Edgar ................................................................................................................................................... Edwards ............................................................................................................................................... Effingham ............................................................................................................................................. Fayette ................................................................................................................................................. Ford ..................................................................................................................................................... Franklin ................................................................................................................................................ Fulton ................................................................................................................................................... Gallatin ................................................................................................................................................. Greene ................................................................................................................................................. Grundy ................................................................................................................................................. Hamilton ............................................................................................................................................... Hancock ............................................................................................................................................... Hardin .................................................................................................................................................. Henderson ........................................................................................................................................... Henry ................................................................................................................................................... Iroquois ................................................................................................................................................ Jackson ................................................................................................................................................ Jasper .................................................................................................................................................. Jefferson .............................................................................................................................................. Jersey .................................................................................................................................................. Jo Daviess ........................................................................................................................................... Johnson ............................................................................................................................................... Kane .................................................................................................................................................... Kankakee ............................................................................................................................................. Kendall ................................................................................................................................................. Knox ..................................................................................................................................................... La Salle ................................................................................................................................................ Lake ..................................................................................................................................................... Lawrence ............................................................................................................................................. Lee ....................................................................................................................................................... Livingston ............................................................................................................................................. Logan ................................................................................................................................................... Macon .................................................................................................................................................. Macoupin ............................................................................................................................................. Madison ............................................................................................................................................... Marion .................................................................................................................................................. Marshall ............................................................................................................................................... Mason .................................................................................................................................................. Massac ................................................................................................................................................ McDonough ......................................................................................................................................... McHenry .............................................................................................................................................. McLean ................................................................................................................................................ Menard ................................................................................................................................................. Mercer .................................................................................................................................................. Monroe ................................................................................................................................................. Montgomery ......................................................................................................................................... Morgan ................................................................................................................................................. Moultrie ................................................................................................................................................ Ogle ..................................................................................................................................................... Peoria .................................................................................................................................................. Perry .................................................................................................................................................... Piatt ...................................................................................................................................................... Pike ...................................................................................................................................................... Pope .................................................................................................................................................... Pulaski ................................................................................................................................................. Putnam ................................................................................................................................................ Randolph ............................................................................................................................................. Richland ............................................................................................................................................... Rock Island .......................................................................................................................................... Saline ................................................................................................................................................... Sangamon ........................................................................................................................................... Schuyler ............................................................................................................................................... Scott ..................................................................................................................................................... Shelby .................................................................................................................................................. St. Clair ................................................................................................................................................ Stark .................................................................................................................................................... Stephenson .......................................................................................................................................... Tazewell ............................................................................................................................................... Union ................................................................................................................................................... Vermilion .............................................................................................................................................. Wabash ................................................................................................................................................ VerDate Sep<11>2014 19:40 Jul 12, 2024 Jkt 262001 PO 00000 Frm 00072 Fmt 4701 Sfmt 4702 IL IL IL IL IL IL IL IL IL IL IL IL IL IL IL IL IL IL IL IL IL IL IL IL IL IL IL IL IL IL IL IL IL IL IL IL IL IL IL IL IL IL IL IL IL IL IL IL IL IL IL IL IL IL IL IL IL IL IL IL IL IL IL IL IL IL IL IL IL IL IL E:\FR\FM\15JYP3.SGM FIPS code 17045 17047 17049 17051 17053 17055 17057 17059 17061 17063 17065 17067 17069 17071 17073 17075 17077 17079 17081 17083 17085 17087 17089 17091 17093 17095 17099 17097 17101 17103 17105 17107 17115 17117 17119 17121 17123 17125 17127 17109 17111 17113 17129 17131 17133 17135 17137 17139 17141 17143 17145 17147 17149 17151 17153 17155 17157 17159 17161 17165 17167 17169 17171 17173 17163 17175 17177 17179 17181 17183 17185 15JYP3 Class I differential adjusted for location 3.60 3.60 3.60 3.60 3.60 3.60 3.40 4.00 3.60 3.40 3.60 3.20 4.00 3.20 3.20 3.60 3.60 3.60 3.60 3.60 3.10 4.00 3.20 3.40 3.20 3.40 3.40 3.10 3.60 3.20 3.40 3.40 3.40 3.60 3.60 3.60 3.40 3.40 4.00 3.40 3.10 3.40 3.40 3.20 3.60 3.60 3.40 3.60 3.20 3.40 3.60 3.40 3.40 4.00 4.00 3.40 3.60 3.60 3.20 4.00 3.40 3.40 3.40 3.60 3.60 3.40 3.10 3.40 4.00 3.60 3.60 Federal Register / Vol. 89, No. 135 / Monday, July 15, 2024 / Proposed Rules ddrumheller on DSK120RN23PROD with PROPOSALS3 County/parish/city State Warren ................................................................................................................................................. Washington .......................................................................................................................................... Wayne .................................................................................................................................................. White .................................................................................................................................................... Whiteside ............................................................................................................................................. Will ....................................................................................................................................................... Williamson ........................................................................................................................................... Winnebago ........................................................................................................................................... Woodford ............................................................................................................................................. Adams .................................................................................................................................................. Allen ..................................................................................................................................................... Bartholomew ........................................................................................................................................ Benton ................................................................................................................................................. Blackford .............................................................................................................................................. Boone .................................................................................................................................................. Brown ................................................................................................................................................... Carroll .................................................................................................................................................. Cass ..................................................................................................................................................... Clark .................................................................................................................................................... Clay ...................................................................................................................................................... Clinton .................................................................................................................................................. Crawford .............................................................................................................................................. Daviess ................................................................................................................................................ Dearborn .............................................................................................................................................. Decatur ................................................................................................................................................ DeKalb ................................................................................................................................................. Delaware .............................................................................................................................................. Dubois .................................................................................................................................................. Elkhart .................................................................................................................................................. Fayette ................................................................................................................................................. Floyd .................................................................................................................................................... Fountain ............................................................................................................................................... Franklin ................................................................................................................................................ Fulton ................................................................................................................................................... Gibson ................................................................................................................................................. Grant .................................................................................................................................................... Greene ................................................................................................................................................. Hamilton ............................................................................................................................................... Hancock ............................................................................................................................................... Harrison ............................................................................................................................................... Hendricks ............................................................................................................................................. Henry ................................................................................................................................................... Howard ................................................................................................................................................ Huntington ........................................................................................................................................... Jackson ................................................................................................................................................ Jasper .................................................................................................................................................. Jay ....................................................................................................................................................... Jefferson .............................................................................................................................................. Jennings .............................................................................................................................................. Johnson ............................................................................................................................................... Knox ..................................................................................................................................................... Kosciusko ............................................................................................................................................ LaGrange ............................................................................................................................................. Lake ..................................................................................................................................................... LaPorte ................................................................................................................................................ Lawrence ............................................................................................................................................. Madison ............................................................................................................................................... Marion .................................................................................................................................................. Marshall ............................................................................................................................................... Martin ................................................................................................................................................... Miami ................................................................................................................................................... Monroe ................................................................................................................................................. Montgomery ......................................................................................................................................... Morgan ................................................................................................................................................. Newton ................................................................................................................................................. Noble ................................................................................................................................................... Ohio ..................................................................................................................................................... Orange ................................................................................................................................................. Owen ................................................................................................................................................... Parke ................................................................................................................................................... Perry .................................................................................................................................................... VerDate Sep<11>2014 19:40 Jul 12, 2024 Jkt 262001 PO 00000 Frm 00073 Fmt 4701 Sfmt 4702 IL IL IL IL IL IL IL IL IL IN IN IN IN IN IN IN IN IN IN IN IN IN IN IN IN IN IN IN IN IN IN IN IN IN IN IN IN IN IN IN IN IN IN IN IN IN IN IN IN IN IN IN IN IN IN IN IN IN IN IN IN IN IN IN IN IN IN IN IN IN IN E:\FR\FM\15JYP3.SGM FIPS code 17187 17189 17191 17193 17195 17197 17199 17201 17203 18001 18003 18005 18007 18009 18011 18013 18015 18017 18019 18021 18023 18025 18027 18029 18031 18033 18035 18037 18039 18041 18043 18045 18047 18049 18051 18053 18055 18057 18059 18061 18063 18065 18067 18069 18071 18073 18075 18077 18079 18081 18083 18085 18087 18089 18091 18093 18095 18097 18099 18101 18103 18105 18107 18109 18111 18113 18115 18117 18119 18121 18123 15JYP3 57651 Class I differential adjusted for location 3.20 3.60 3.60 3.60 3.20 3.20 4.00 3.10 3.40 3.30 3.30 3.70 3.60 3.30 3.60 3.70 3.60 3.30 4.00 3.60 3.60 4.00 3.70 3.70 3.70 3.30 3.60 3.70 3.30 3.60 4.00 3.60 3.70 3.30 3.70 3.30 3.70 3.60 3.60 4.00 3.60 3.60 3.60 3.30 3.70 3.60 3.30 4.00 3.70 3.60 3.70 3.30 3.30 3.30 3.30 3.70 3.60 3.60 3.30 3.70 3.30 3.70 3.60 3.60 3.60 3.30 3.70 3.70 3.60 3.60 4.00 57652 Federal Register / Vol. 89, No. 135 / Monday, July 15, 2024 / Proposed Rules ddrumheller on DSK120RN23PROD with PROPOSALS3 County/parish/city State Pike ...................................................................................................................................................... Porter ................................................................................................................................................... Posey ................................................................................................................................................... Pulaski ................................................................................................................................................. Putnam ................................................................................................................................................ Randolph ............................................................................................................................................. Ripley ................................................................................................................................................... Rush .................................................................................................................................................... Scott ..................................................................................................................................................... Shelby .................................................................................................................................................. Spencer ............................................................................................................................................... St. Joseph ............................................................................................................................................ Starke .................................................................................................................................................. Steuben ............................................................................................................................................... Sullivan ................................................................................................................................................ Switzerland .......................................................................................................................................... Tippecanoe .......................................................................................................................................... Tipton ................................................................................................................................................... Union ................................................................................................................................................... Vanderburgh ........................................................................................................................................ Vermillion ............................................................................................................................................. Vigo ...................................................................................................................................................... Wabash ................................................................................................................................................ Warren ................................................................................................................................................. Warrick ................................................................................................................................................. Washington .......................................................................................................................................... Wayne .................................................................................................................................................. Wells .................................................................................................................................................... White .................................................................................................................................................... Whitley ................................................................................................................................................. Allen ..................................................................................................................................................... Anderson ............................................................................................................................................. Atchison ............................................................................................................................................... Barber .................................................................................................................................................. Barton .................................................................................................................................................. Bourbon ............................................................................................................................................... Brown ................................................................................................................................................... Butler ................................................................................................................................................... Chase .................................................................................................................................................. Chautauqua ......................................................................................................................................... Cherokee ............................................................................................................................................. Cheyenne ............................................................................................................................................ Clark .................................................................................................................................................... Clay ...................................................................................................................................................... Cloud ................................................................................................................................................... Coffey .................................................................................................................................................. Comanche ........................................................................................................................................... Cowley ................................................................................................................................................. Crawford .............................................................................................................................................. Decatur ................................................................................................................................................ Dickinson ............................................................................................................................................. Doniphan ............................................................................................................................................. Douglas ................................................................................................................................................ Edwards ............................................................................................................................................... Elk ........................................................................................................................................................ Ellis ...................................................................................................................................................... Ellsworth .............................................................................................................................................. Finney .................................................................................................................................................. Ford ..................................................................................................................................................... Franklin ................................................................................................................................................ Geary ................................................................................................................................................... Gove .................................................................................................................................................... Graham ................................................................................................................................................ Grant .................................................................................................................................................... Gray ..................................................................................................................................................... Greeley ................................................................................................................................................ Greenwood .......................................................................................................................................... Hamilton ............................................................................................................................................... Harper .................................................................................................................................................. Harvey ................................................................................................................................................. Haskell ................................................................................................................................................. VerDate Sep<11>2014 19:40 Jul 12, 2024 Jkt 262001 PO 00000 Frm 00074 Fmt 4701 Sfmt 4702 IN IN IN IN IN IN IN IN IN IN IN IN IN IN IN IN IN IN IN IN IN IN IN IN IN IN IN IN IN IN KS KS KS KS KS KS KS KS KS KS KS KS KS KS KS KS KS KS KS KS KS KS KS KS KS KS KS KS KS KS KS KS KS KS KS KS KS KS KS KS KS E:\FR\FM\15JYP3.SGM FIPS code 18125 18127 18129 18131 18133 18135 18137 18139 18143 18145 18147 18141 18149 18151 18153 18155 18157 18159 18161 18163 18165 18167 18169 18171 18173 18175 18177 18179 18181 18183 20001 20003 20005 20007 20009 20011 20013 20015 20017 20019 20021 20023 20025 20027 20029 20031 20033 20035 20037 20039 20041 20043 20045 20047 20049 20051 20053 20055 20057 20059 20061 20063 20065 20067 20069 20071 20073 20075 20077 20079 20081 15JYP3 Class I differential adjusted for location 3.70 3.30 3.70 3.30 3.60 3.60 3.70 3.60 4.00 3.60 4.00 3.30 3.30 3.30 3.70 4.00 3.60 3.60 3.60 3.70 3.60 3.60 3.30 3.60 3.70 4.00 3.60 3.30 3.60 3.30 2.90 2.90 2.90 2.60 2.60 3.20 2.90 2.90 2.70 2.90 3.20 2.50 2.60 2.70 2.70 2.90 2.60 2.90 3.20 2.50 2.70 2.90 2.90 2.60 2.90 2.50 2.60 2.50 2.50 2.90 2.70 2.50 2.50 2.50 2.50 2.50 2.90 2.50 2.90 2.90 2.50 Federal Register / Vol. 89, No. 135 / Monday, July 15, 2024 / Proposed Rules ddrumheller on DSK120RN23PROD with PROPOSALS3 County/parish/city State Hodgeman ........................................................................................................................................... Jackson ................................................................................................................................................ Jefferson .............................................................................................................................................. Jewell ................................................................................................................................................... Johnson ............................................................................................................................................... Kearny ................................................................................................................................................. Kingman ............................................................................................................................................... Kiowa ................................................................................................................................................... Labette ................................................................................................................................................. Lane ..................................................................................................................................................... Leavenworth ........................................................................................................................................ Lincoln ................................................................................................................................................. Linn ...................................................................................................................................................... Logan ................................................................................................................................................... Lyon ..................................................................................................................................................... Marion .................................................................................................................................................. Marshall ............................................................................................................................................... McPherson ........................................................................................................................................... Meade .................................................................................................................................................. Miami ................................................................................................................................................... Mitchell ................................................................................................................................................. Montgomery ......................................................................................................................................... Morris ................................................................................................................................................... Morton .................................................................................................................................................. Nemaha ............................................................................................................................................... Neosho ................................................................................................................................................ Ness ..................................................................................................................................................... Norton .................................................................................................................................................. Osage .................................................................................................................................................. Osborne ............................................................................................................................................... Ottawa ................................................................................................................................................. Pawnee ................................................................................................................................................ Phillips ................................................................................................................................................. Pottawatomie ....................................................................................................................................... Pratt ..................................................................................................................................................... Rawlins ................................................................................................................................................ Reno .................................................................................................................................................... Republic ............................................................................................................................................... Rice ...................................................................................................................................................... Riley ..................................................................................................................................................... Rooks ................................................................................................................................................... Rush .................................................................................................................................................... Russell ................................................................................................................................................. Saline ................................................................................................................................................... Scott ..................................................................................................................................................... Sedgwick ............................................................................................................................................. Seward ................................................................................................................................................. Shawnee .............................................................................................................................................. Sheridan .............................................................................................................................................. Sherman .............................................................................................................................................. Smith .................................................................................................................................................... Stafford ................................................................................................................................................ Stanton ................................................................................................................................................ Stevens ................................................................................................................................................ Sumner ................................................................................................................................................ Thomas ................................................................................................................................................ Trego ................................................................................................................................................... Wabaunsee .......................................................................................................................................... Wallace ................................................................................................................................................ Washington .......................................................................................................................................... Wichita ................................................................................................................................................. Wilson .................................................................................................................................................. Woodson .............................................................................................................................................. Wyandotte ............................................................................................................................................ Adair .................................................................................................................................................... Allen ..................................................................................................................................................... Anderson ............................................................................................................................................. Ballard .................................................................................................................................................. Barren .................................................................................................................................................. Bath ..................................................................................................................................................... Bell ....................................................................................................................................................... VerDate Sep<11>2014 19:40 Jul 12, 2024 Jkt 262001 PO 00000 Frm 00075 Fmt 4701 Sfmt 4702 KS KS KS KS KS KS KS KS KS KS KS KS KS KS KS KS KS KS KS KS KS KS KS KS KS KS KS KS KS KS KS KS KS KS KS KS KS KS KS KS KS KS KS KS KS KS KS KS KS KS KS KS KS KS KS KS KS KS KS KS KS KS KS KS KY KY KY KY KY KY KY E:\FR\FM\15JYP3.SGM FIPS code 20083 20085 20087 20089 20091 20093 20095 20097 20099 20101 20103 20105 20107 20109 20111 20115 20117 20113 20119 20121 20123 20125 20127 20129 20131 20133 20135 20137 20139 20141 20143 20145 20147 20149 20151 20153 20155 20157 20159 20161 20163 20165 20167 20169 20171 20173 20175 20177 20179 20181 20183 20185 20187 20189 20191 20193 20195 20197 20199 20201 20203 20205 20207 20209 21001 21003 21005 21007 21009 21011 21013 15JYP3 57653 Class I differential adjusted for location 2.50 2.90 2.90 2.60 3.20 2.50 2.90 2.60 3.20 2.50 2.90 2.60 3.20 2.50 2.90 2.70 2.70 2.70 2.50 3.20 2.60 3.20 2.70 2.50 2.70 2.90 2.50 2.50 2.90 2.50 2.70 2.50 2.50 2.70 2.60 2.50 2.90 2.60 2.60 2.70 2.50 2.50 2.50 2.70 2.50 2.90 2.50 2.90 2.50 2.50 2.50 2.60 2.50 2.50 2.90 2.50 2.50 2.90 2.50 2.70 2.50 2.90 2.90 3.20 4.20 4.20 4.20 4.00 4.20 4.20 4.80 57654 Federal Register / Vol. 89, No. 135 / Monday, July 15, 2024 / Proposed Rules ddrumheller on DSK120RN23PROD with PROPOSALS3 County/parish/city State Boone .................................................................................................................................................. Bourbon ............................................................................................................................................... Boyd ..................................................................................................................................................... Boyle .................................................................................................................................................... Bracken ................................................................................................................................................ Breathitt ............................................................................................................................................... Breckinridge ......................................................................................................................................... Bullitt .................................................................................................................................................... Butler ................................................................................................................................................... Caldwell ............................................................................................................................................... Calloway .............................................................................................................................................. Campbell .............................................................................................................................................. Carlisle ................................................................................................................................................. Carroll .................................................................................................................................................. Carter ................................................................................................................................................... Casey ................................................................................................................................................... Christian ............................................................................................................................................... Clark .................................................................................................................................................... Clay ...................................................................................................................................................... Clinton .................................................................................................................................................. Crittenden ............................................................................................................................................ Cumberland ......................................................................................................................................... Daviess ................................................................................................................................................ Edmonson ............................................................................................................................................ Elliott .................................................................................................................................................... Estill ..................................................................................................................................................... Fayette ................................................................................................................................................. Fleming ................................................................................................................................................ Floyd .................................................................................................................................................... Franklin ................................................................................................................................................ Fulton ................................................................................................................................................... Gallatin ................................................................................................................................................. Garrard ................................................................................................................................................ Grant .................................................................................................................................................... Graves ................................................................................................................................................. Grayson ............................................................................................................................................... Green ................................................................................................................................................... Greenup ............................................................................................................................................... Hancock ............................................................................................................................................... Hardin .................................................................................................................................................. Harlan .................................................................................................................................................. Harrison ............................................................................................................................................... Hart ...................................................................................................................................................... Henderson ........................................................................................................................................... Henry ................................................................................................................................................... Hickman ............................................................................................................................................... Hopkins ................................................................................................................................................ Jackson ................................................................................................................................................ Jefferson .............................................................................................................................................. Jessamine ............................................................................................................................................ Johnson ............................................................................................................................................... Kenton ................................................................................................................................................. Knott .................................................................................................................................................... Knox ..................................................................................................................................................... Larue .................................................................................................................................................... Laurel ................................................................................................................................................... Lawrence ............................................................................................................................................. Lee ....................................................................................................................................................... Leslie ................................................................................................................................................... Letcher ................................................................................................................................................. Lewis .................................................................................................................................................... Lincoln ................................................................................................................................................. Livingston ............................................................................................................................................. Logan ................................................................................................................................................... Lyon ..................................................................................................................................................... Madison ............................................................................................................................................... Magoffin ............................................................................................................................................... Marion .................................................................................................................................................. Marshall ............................................................................................................................................... Martin ................................................................................................................................................... Mason .................................................................................................................................................. VerDate Sep<11>2014 19:40 Jul 12, 2024 Jkt 262001 PO 00000 Frm 00076 Fmt 4701 Sfmt 4702 KY KY KY KY KY KY KY KY KY KY KY KY KY KY KY KY KY KY KY KY KY KY KY KY KY KY KY KY KY KY KY KY KY KY KY KY KY KY KY KY KY KY KY KY KY KY KY KY KY KY KY KY KY KY KY KY KY KY KY KY KY KY KY KY KY KY KY KY KY KY KY E:\FR\FM\15JYP3.SGM FIPS code 21015 21017 21019 21021 21023 21025 21027 21029 21031 21033 21035 21037 21039 21041 21043 21045 21047 21049 21051 21053 21055 21057 21059 21061 21063 21065 21067 21069 21071 21073 21075 21077 21079 21081 21083 21085 21087 21089 21091 21093 21095 21097 21099 21101 21103 21105 21107 21109 21111 21113 21115 21117 21119 21121 21123 21125 21127 21129 21131 21133 21135 21137 21139 21141 21143 21151 21153 21155 21157 21159 21161 15JYP3 Class I differential adjusted for location 4.00 4.20 4.20 4.20 4.00 4.50 4.00 4.00 4.20 4.00 4.20 4.00 4.00 4.00 4.20 4.20 4.20 4.20 4.50 4.50 4.00 4.50 4.00 4.20 4.20 4.20 4.20 4.20 4.50 4.00 4.00 4.00 4.20 4.00 4.20 4.00 4.20 4.20 4.00 4.20 4.80 4.20 4.20 4.00 4.00 4.00 4.00 4.20 4.00 4.20 4.50 4.00 4.50 4.50 4.20 4.50 4.20 4.20 4.50 4.80 4.20 4.20 4.00 4.20 4.00 4.20 4.50 4.20 4.00 4.50 4.20 Federal Register / Vol. 89, No. 135 / Monday, July 15, 2024 / Proposed Rules ddrumheller on DSK120RN23PROD with PROPOSALS3 County/parish/city State McCracken ........................................................................................................................................... McCreary ............................................................................................................................................. McLean ................................................................................................................................................ Meade .................................................................................................................................................. Menifee ................................................................................................................................................ Mercer .................................................................................................................................................. Metcalfe ............................................................................................................................................... Monroe ................................................................................................................................................. Montgomery ......................................................................................................................................... Morgan ................................................................................................................................................. Muhlenberg .......................................................................................................................................... Nelson .................................................................................................................................................. Nicholas ............................................................................................................................................... Ohio ..................................................................................................................................................... Oldham ................................................................................................................................................ Owen ................................................................................................................................................... Owsley ................................................................................................................................................. Pendleton ............................................................................................................................................. Perry .................................................................................................................................................... Pike ...................................................................................................................................................... Powell .................................................................................................................................................. Pulaski ................................................................................................................................................. Robertson ............................................................................................................................................ Rockcastle ........................................................................................................................................... Rowan .................................................................................................................................................. Russell ................................................................................................................................................. Scott ..................................................................................................................................................... Shelby .................................................................................................................................................. Simpson ............................................................................................................................................... Spencer ............................................................................................................................................... Taylor ................................................................................................................................................... Todd ..................................................................................................................................................... Trigg ..................................................................................................................................................... Trimble ................................................................................................................................................. Union ................................................................................................................................................... Warren ................................................................................................................................................. Washington .......................................................................................................................................... Wayne .................................................................................................................................................. Webster ............................................................................................................................................... Whitley ................................................................................................................................................. Wolfe .................................................................................................................................................... Woodford ............................................................................................................................................. Acadia Parish ...................................................................................................................................... Allen Parish ......................................................................................................................................... Ascension Parish ................................................................................................................................. Assumption Parish ............................................................................................................................... Avoyelles Parish .................................................................................................................................. Beauregard Parish ............................................................................................................................... Bienville Parish .................................................................................................................................... Bossier Parish ..................................................................................................................................... Caddo Parish ....................................................................................................................................... Calcasieu Parish .................................................................................................................................. Caldwell Parish .................................................................................................................................... Cameron Parish ................................................................................................................................... Catahoula Parish ................................................................................................................................. Claiborne Parish .................................................................................................................................. Concordia Parish ................................................................................................................................. De Soto Parish .................................................................................................................................... East Baton Rouge Parish .................................................................................................................... East Carroll Parish .............................................................................................................................. East Feliciana Parish ........................................................................................................................... Evangeline Parish ................................................................................................................................ Franklin Parish ..................................................................................................................................... Grant Parish ........................................................................................................................................ Iberia Parish ........................................................................................................................................ Iberville Parish ..................................................................................................................................... Jackson Parish .................................................................................................................................... Jefferson Davis Parish ........................................................................................................................ Jefferson Parish ................................................................................................................................... La Salle Parish .................................................................................................................................... Lafayette Parish ................................................................................................................................... VerDate Sep<11>2014 19:40 Jul 12, 2024 Jkt 262001 PO 00000 Frm 00077 Fmt 4701 Sfmt 4702 KY KY KY KY KY KY KY KY KY KY KY KY KY KY KY KY KY KY KY KY KY KY KY KY KY KY KY KY KY KY KY KY KY KY KY KY KY KY KY KY KY KY LA LA LA LA LA LA LA LA LA LA LA LA LA LA LA LA LA LA LA LA LA LA LA LA LA LA LA LA LA E:\FR\FM\15JYP3.SGM FIPS code 21145 21147 21149 21163 21165 21167 21169 21171 21173 21175 21177 21179 21181 21183 21185 21187 21189 21191 21193 21195 21197 21199 21201 21203 21205 21207 21209 21211 21213 21215 21217 21219 21221 21223 21225 21227 21229 21231 21233 21235 21237 21239 22001 22003 22005 22007 22009 22011 22013 22015 22017 22019 22021 22023 22025 22027 22029 22031 22033 22035 22037 22039 22041 22043 22045 22047 22049 22053 22051 22059 22055 15JYP3 57655 Class I differential adjusted for location 4.00 4.50 4.00 4.00 4.20 4.20 4.20 4.50 4.20 4.20 4.00 4.20 4.20 4.00 4.00 4.00 4.50 4.00 4.50 4.50 4.20 4.50 4.20 4.20 4.20 4.50 4.00 4.00 4.20 4.00 4.20 4.20 4.20 4.00 4.00 4.20 4.20 4.50 4.00 4.50 4.20 4.20 5.20 4.90 5.20 5.20 5.20 4.90 4.60 4.30 4.30 4.90 4.90 4.90 5.20 4.30 5.20 4.30 5.20 5.20 5.20 4.90 4.90 4.90 5.20 5.20 4.60 4.90 5.60 4.90 5.20 57656 Federal Register / Vol. 89, No. 135 / Monday, July 15, 2024 / Proposed Rules ddrumheller on DSK120RN23PROD with PROPOSALS3 County/parish/city State Lafourche Parish ................................................................................................................................. Lincoln Parish ...................................................................................................................................... Livingston Parish ................................................................................................................................. Madison Parish .................................................................................................................................... Morehouse Parish ............................................................................................................................... Natchitoches Parish ............................................................................................................................. Orleans Parish ..................................................................................................................................... Ouachita Parish ................................................................................................................................... Plaquemines Parish ............................................................................................................................. Pointe Coupee Parish ......................................................................................................................... Rapides Parish .................................................................................................................................... Red River Parish ................................................................................................................................. Richland Parish ................................................................................................................................... Sabine Parish ...................................................................................................................................... St. Bernard Parish ............................................................................................................................... St. Charles Parish ............................................................................................................................... St. Helena Parish ................................................................................................................................ St. James Parish ................................................................................................................................. St. John the Baptist Parish .................................................................................................................. St. Landry Parish ................................................................................................................................. St. Martin Parish .................................................................................................................................. St. Mary Parish .................................................................................................................................... St. Tammany Parish ............................................................................................................................ Tangipahoa Parish .............................................................................................................................. Tensas Parish ...................................................................................................................................... Terrebonne Parish ............................................................................................................................... Union Parish ........................................................................................................................................ Vermilion Parish .................................................................................................................................. Vernon Parish ...................................................................................................................................... Washington Parish .............................................................................................................................. Webster Parish .................................................................................................................................... West Baton Rouge Parish ................................................................................................................... West Carroll Parish ............................................................................................................................. West Feliciana Parish .......................................................................................................................... Winn Parish ......................................................................................................................................... Barnstable ............................................................................................................................................ Berkshire .............................................................................................................................................. Bristol ................................................................................................................................................... Dukes ................................................................................................................................................... Essex ................................................................................................................................................... Franklin ................................................................................................................................................ Hampden ............................................................................................................................................. Hampshire ........................................................................................................................................... Middlesex ............................................................................................................................................. Nantucket ............................................................................................................................................. Norfolk ................................................................................................................................................. Plymouth .............................................................................................................................................. Suffolk .................................................................................................................................................. Worcester ............................................................................................................................................ Allegany ............................................................................................................................................... Anne Arundel ....................................................................................................................................... Baltimore .............................................................................................................................................. Baltimore City ...................................................................................................................................... Calvert ................................................................................................................................................. Caroline ............................................................................................................................................... Carroll .................................................................................................................................................. Cecil ..................................................................................................................................................... Charles ................................................................................................................................................ Dorchester ........................................................................................................................................... Frederick .............................................................................................................................................. Garrett .................................................................................................................................................. Harford ................................................................................................................................................. Howard ................................................................................................................................................ Kent ..................................................................................................................................................... Montgomery ......................................................................................................................................... Prince George’s ................................................................................................................................... Queen Anne’s ...................................................................................................................................... Somerset ............................................................................................................................................. St. Mary’s ............................................................................................................................................. Talbot ................................................................................................................................................... Washington .......................................................................................................................................... VerDate Sep<11>2014 19:40 Jul 12, 2024 Jkt 262001 PO 00000 Frm 00078 Fmt 4701 Sfmt 4702 LA LA LA LA LA LA LA LA LA LA LA LA LA LA LA LA LA LA LA LA LA LA LA LA LA LA LA LA LA LA LA LA LA LA LA MA MA MA MA MA MA MA MA MA MA MA MA MA MA MD MD MD MD MD MD MD MD MD MD MD MD MD MD MD MD MD MD MD MD MD MD E:\FR\FM\15JYP3.SGM FIPS code 22057 22061 22063 22065 22067 22069 22071 22073 22075 22077 22079 22081 22083 22085 22087 22089 22091 22093 22095 22097 22099 22101 22103 22105 22107 22109 22111 22113 22115 22117 22119 22121 22123 22125 22127 25001 25003 25005 25007 25009 25011 25013 25015 25017 25019 25021 25023 25025 25027 24001 24003 24005 24510 24009 24011 24013 24015 24017 24019 24021 24023 24025 24027 24029 24031 24033 24035 24039 24037 24041 24043 15JYP3 Class I differential adjusted for location 5.60 4.60 5.40 5.20 4.90 4.60 5.60 4.90 5.60 5.20 4.90 4.60 4.90 4.60 5.60 5.60 5.40 5.20 5.60 5.20 5.20 5.20 5.60 5.40 5.20 5.60 4.60 5.20 4.60 5.60 4.30 5.20 4.90 5.20 4.60 5.10 4.50 5.10 5.10 5.10 4.70 4.70 4.70 5.10 5.10 5.10 5.10 5.10 4.90 4.10 4.60 4.40 4.60 4.80 4.60 4.40 4.40 4.80 4.80 4.40 4.10 4.40 4.60 4.60 4.60 4.60 4.60 4.80 4.80 4.60 4.20 Federal Register / Vol. 89, No. 135 / Monday, July 15, 2024 / Proposed Rules ddrumheller on DSK120RN23PROD with PROPOSALS3 County/parish/city State Wicomico ............................................................................................................................................. Worcester ............................................................................................................................................ Androscoggin ....................................................................................................................................... Aroostook ............................................................................................................................................. Cumberland ......................................................................................................................................... Franklin ................................................................................................................................................ Hancock ............................................................................................................................................... Kennebec ............................................................................................................................................. Knox ..................................................................................................................................................... Lincoln ................................................................................................................................................. Oxford .................................................................................................................................................. Penobscot ............................................................................................................................................ Piscataquis .......................................................................................................................................... Sagadahoc ........................................................................................................................................... Somerset ............................................................................................................................................. Waldo ................................................................................................................................................... Washington .......................................................................................................................................... York ..................................................................................................................................................... Alcona .................................................................................................................................................. Alger .................................................................................................................................................... Allegan ................................................................................................................................................. Alpena .................................................................................................................................................. Antrim .................................................................................................................................................. Arenac ................................................................................................................................................. Baraga ................................................................................................................................................. Barry .................................................................................................................................................... Bay ....................................................................................................................................................... Benzie .................................................................................................................................................. Berrien ................................................................................................................................................. Branch ................................................................................................................................................. Calhoun ............................................................................................................................................... Cass ..................................................................................................................................................... Charlevoix ............................................................................................................................................ Cheboygan .......................................................................................................................................... Chippewa ............................................................................................................................................. Clare .................................................................................................................................................... Clinton .................................................................................................................................................. Crawford .............................................................................................................................................. Delta .................................................................................................................................................... Dickinson ............................................................................................................................................. Eaton ................................................................................................................................................... Emmet ................................................................................................................................................. Genesee .............................................................................................................................................. Gladwin ................................................................................................................................................ Gogebic ............................................................................................................................................... Grand Traverse ................................................................................................................................... Gratiot .................................................................................................................................................. Hillsdale ............................................................................................................................................... Houghton ............................................................................................................................................. Huron ................................................................................................................................................... Ingham ................................................................................................................................................. Ionia ..................................................................................................................................................... Iosco .................................................................................................................................................... Iron ....................................................................................................................................................... Isabella ................................................................................................................................................ Jackson ................................................................................................................................................ Kalamazoo ........................................................................................................................................... Kalkaska .............................................................................................................................................. Kent ..................................................................................................................................................... Keweenaw ........................................................................................................................................... Lake ..................................................................................................................................................... Lapeer .................................................................................................................................................. Leelanau .............................................................................................................................................. Lenawee .............................................................................................................................................. Livingston ............................................................................................................................................. Luce ..................................................................................................................................................... Mackinac .............................................................................................................................................. Macomb ............................................................................................................................................... Manistee .............................................................................................................................................. Marquette ............................................................................................................................................. Mason .................................................................................................................................................. VerDate Sep<11>2014 19:40 Jul 12, 2024 Jkt 262001 PO 00000 Frm 00079 Fmt 4701 Sfmt 4702 MD MD ME ME ME ME ME ME ME ME ME ME ME ME ME ME ME ME MI MI MI MI MI MI MI MI MI MI MI MI MI MI MI MI MI MI MI MI MI MI MI MI MI MI MI MI MI MI MI MI MI MI MI MI MI MI MI MI MI MI MI MI MI MI MI MI MI MI MI MI MI E:\FR\FM\15JYP3.SGM FIPS code 24045 24047 23001 23003 23005 23007 23009 23011 23013 23015 23017 23019 23021 23023 23025 23027 23029 23031 26001 26003 26005 26007 26009 26011 26013 26015 26017 26019 26021 26023 26025 26027 26029 26031 26033 26035 26037 26039 26041 26043 26045 26047 26049 26051 26053 26055 26057 26059 26061 26063 26065 26067 26069 26071 26073 26075 26077 26079 26081 26083 26085 26087 26089 26091 26093 26095 26097 26099 26101 26103 26105 15JYP3 57657 Class I differential adjusted for location 4.80 4.80 4.20 3.90 4.50 4.20 3.90 4.20 4.20 4.20 4.20 3.90 3.90 4.20 3.90 3.90 3.90 4.50 3.30 3.00 3.30 3.30 3.30 3.30 3.00 3.30 3.30 3.30 3.30 3.30 3.30 3.30 3.30 3.30 3.00 3.30 3.30 3.30 2.80 2.80 3.30 3.30 3.30 3.30 2.80 3.30 3.30 3.30 3.00 3.30 3.30 3.30 3.30 2.80 3.30 3.30 3.30 3.30 3.30 3.00 3.30 3.30 3.30 3.30 3.30 3.00 3.00 3.30 3.30 3.00 3.30 57658 Federal Register / Vol. 89, No. 135 / Monday, July 15, 2024 / Proposed Rules ddrumheller on DSK120RN23PROD with PROPOSALS3 County/parish/city State Mecosta ............................................................................................................................................... Menominee .......................................................................................................................................... Midland ................................................................................................................................................ Missaukee ............................................................................................................................................ Monroe ................................................................................................................................................. Montcalm ............................................................................................................................................. Montmorency ....................................................................................................................................... Muskegon ............................................................................................................................................ Newaygo .............................................................................................................................................. Oakland ............................................................................................................................................... Oceana ................................................................................................................................................ Ogemaw .............................................................................................................................................. Ontonagon ........................................................................................................................................... Osceola ................................................................................................................................................ Oscoda ................................................................................................................................................ Otsego ................................................................................................................................................. Ottawa ................................................................................................................................................. Presque Isle ......................................................................................................................................... Roscommon ......................................................................................................................................... Saginaw ............................................................................................................................................... Sanilac ................................................................................................................................................. Schoolcraft ........................................................................................................................................... Shiawassee ......................................................................................................................................... St. Clair ................................................................................................................................................ St. Joseph ............................................................................................................................................ Tuscola ................................................................................................................................................ Van Buren ............................................................................................................................................ Washtenaw .......................................................................................................................................... Wayne .................................................................................................................................................. Wexford ............................................................................................................................................... Aitkin .................................................................................................................................................... Anoka ................................................................................................................................................... Becker .................................................................................................................................................. Beltrami ................................................................................................................................................ Benton ................................................................................................................................................. Big Stone ............................................................................................................................................. Blue Earth ............................................................................................................................................ Brown ................................................................................................................................................... Carlton ................................................................................................................................................. Carver .................................................................................................................................................. Cass ..................................................................................................................................................... Chippewa ............................................................................................................................................. Chisago ................................................................................................................................................ Clay ...................................................................................................................................................... Clearwater ........................................................................................................................................... Cook .................................................................................................................................................... Cottonwood .......................................................................................................................................... Crow Wing ........................................................................................................................................... Dakota ................................................................................................................................................. Dodge .................................................................................................................................................. Douglas ................................................................................................................................................ Faribault ............................................................................................................................................... Fillmore ................................................................................................................................................ Freeborn .............................................................................................................................................. Goodhue .............................................................................................................................................. Grant .................................................................................................................................................... Hennepin ............................................................................................................................................. Houston ............................................................................................................................................... Hubbard ............................................................................................................................................... Isanti .................................................................................................................................................... Itasca ................................................................................................................................................... Jackson ................................................................................................................................................ Kanabec ............................................................................................................................................... Kandiyohi ............................................................................................................................................. Kittson .................................................................................................................................................. Koochiching ......................................................................................................................................... Lac qui Parle ....................................................................................................................................... Lake ..................................................................................................................................................... Lake of the Woods .............................................................................................................................. Le Sueur .............................................................................................................................................. Lincoln ................................................................................................................................................. VerDate Sep<11>2014 19:40 Jul 12, 2024 Jkt 262001 PO 00000 Frm 00080 Fmt 4701 Sfmt 4702 MI MI MI MI MI MI MI MI MI MI MI MI MI MI MI MI MI MI MI MI MI MI MI MI MI MI MI MI MI MI MN MN MN MN MN MN MN MN MN MN MN MN MN MN MN MN MN MN MN MN MN MN MN MN MN MN MN MN MN MN MN MN MN MN MN MN MN MN MN MN MN E:\FR\FM\15JYP3.SGM FIPS code 26107 26109 26111 26113 26115 26117 26119 26121 26123 26125 26127 26129 26131 26133 26135 26137 26139 26141 26143 26145 26151 26153 26155 26147 26149 26157 26159 26161 26163 26165 27001 27003 27005 27007 27009 27011 27013 27015 27017 27019 27021 27023 27025 27027 27029 27031 27033 27035 27037 27039 27041 27043 27045 27047 27049 27051 27053 27055 27057 27059 27061 27063 27065 27067 27069 27071 27073 27075 27077 27079 27081 15JYP3 Class I differential adjusted for location 3.30 2.80 3.30 3.30 3.30 3.30 3.30 3.30 3.30 3.30 3.30 3.30 2.80 3.30 3.30 3.30 3.30 3.30 3.30 3.30 3.30 3.00 3.30 3.30 3.30 3.30 3.30 3.30 3.30 3.30 2.80 2.80 2.70 2.30 2.80 2.70 2.80 2.80 2.80 2.80 2.80 2.80 2.80 2.70 2.30 2.30 2.80 2.80 2.90 2.80 2.80 2.80 2.80 2.80 2.80 2.80 2.90 2.80 2.70 2.80 2.30 2.80 2.80 2.80 2.30 2.30 2.70 2.30 2.30 2.80 2.60 Federal Register / Vol. 89, No. 135 / Monday, July 15, 2024 / Proposed Rules ddrumheller on DSK120RN23PROD with PROPOSALS3 County/parish/city State Lyon ..................................................................................................................................................... Mahnomen ........................................................................................................................................... Marshall ............................................................................................................................................... Martin ................................................................................................................................................... McLeod ................................................................................................................................................ Meeker ................................................................................................................................................. Mille Lacs ............................................................................................................................................. Morrison ............................................................................................................................................... Mower .................................................................................................................................................. Murray .................................................................................................................................................. Nicollet ................................................................................................................................................. Nobles .................................................................................................................................................. Norman ................................................................................................................................................ Olmsted ............................................................................................................................................... Otter Tail .............................................................................................................................................. Pennington ........................................................................................................................................... Pine ...................................................................................................................................................... Pipestone ............................................................................................................................................. Polk ...................................................................................................................................................... Pope .................................................................................................................................................... Ramsey ................................................................................................................................................ Red Lake ............................................................................................................................................. Redwood .............................................................................................................................................. Renville ................................................................................................................................................ Rice ...................................................................................................................................................... Rock ..................................................................................................................................................... Roseau ................................................................................................................................................ Scott ..................................................................................................................................................... Sherburne ............................................................................................................................................ Sibley ................................................................................................................................................... St. Louis ............................................................................................................................................... Stearns ................................................................................................................................................ Steele ................................................................................................................................................... Stevens ................................................................................................................................................ Swift ..................................................................................................................................................... Todd ..................................................................................................................................................... Traverse ............................................................................................................................................... Wabasha .............................................................................................................................................. Wadena ............................................................................................................................................... Waseca ................................................................................................................................................ Washington .......................................................................................................................................... Watonwan ............................................................................................................................................ Wilkin ................................................................................................................................................... Winona ................................................................................................................................................. Wright .................................................................................................................................................. Yellow Medicine ................................................................................................................................... Adair .................................................................................................................................................... Andrew ................................................................................................................................................. Atchison ............................................................................................................................................... Audrain ................................................................................................................................................ Barry .................................................................................................................................................... Barton .................................................................................................................................................. Bates .................................................................................................................................................... Benton ................................................................................................................................................. Bollinger ............................................................................................................................................... Boone .................................................................................................................................................. Buchanan ............................................................................................................................................. Butler ................................................................................................................................................... Caldwell ............................................................................................................................................... Callaway .............................................................................................................................................. Camden ............................................................................................................................................... Cape Girardeau ................................................................................................................................... Carroll .................................................................................................................................................. Carter ................................................................................................................................................... Cass ..................................................................................................................................................... Cedar ................................................................................................................................................... Chariton ............................................................................................................................................... Christian ............................................................................................................................................... Clark .................................................................................................................................................... Clay ...................................................................................................................................................... Clinton .................................................................................................................................................. VerDate Sep<11>2014 19:40 Jul 12, 2024 Jkt 262001 PO 00000 Frm 00081 Fmt 4701 Sfmt 4702 MN MN MN MN MN MN MN MN MN MN MN MN MN MN MN MN MN MN MN MN MN MN MN MN MN MN MN MN MN MN MN MN MN MN MN MN MN MN MN MN MN MN MN MN MN MN MO MO MO MO MO MO MO MO MO MO MO MO MO MO MO MO MO MO MO MO MO MO MO MO MO E:\FR\FM\15JYP3.SGM FIPS code 27083 27087 27089 27091 27085 27093 27095 27097 27099 27101 27103 27105 27107 27109 27111 27113 27115 27117 27119 27121 27123 27125 27127 27129 27131 27133 27135 27139 27141 27143 27137 27145 27147 27149 27151 27153 27155 27157 27159 27161 27163 27165 27167 27169 27171 27173 29001 29003 29005 29007 29009 29011 29013 29015 29017 29019 29021 29023 29025 29027 29029 29031 29033 29035 29037 29039 29041 29043 29045 29047 29049 15JYP3 57659 Class I differential adjusted for location 2.70 2.60 2.30 2.80 2.80 2.80 2.80 2.80 2.80 2.70 2.80 2.70 2.60 2.80 2.80 2.30 2.80 2.60 2.30 2.80 2.90 2.30 2.80 2.80 2.80 2.60 2.30 2.90 2.80 2.80 2.30 2.80 2.80 2.80 2.80 2.80 2.70 2.80 2.80 2.80 2.90 2.80 2.70 2.80 2.80 2.70 3.20 2.90 2.70 3.40 3.20 3.20 3.20 3.20 3.60 3.40 3.20 4.00 3.20 3.40 3.40 3.60 3.20 4.00 3.20 3.20 3.20 3.30 3.20 3.20 3.20 57660 Federal Register / Vol. 89, No. 135 / Monday, July 15, 2024 / Proposed Rules ddrumheller on DSK120RN23PROD with PROPOSALS3 County/parish/city State Cole ..................................................................................................................................................... Cooper ................................................................................................................................................. Crawford .............................................................................................................................................. Dade .................................................................................................................................................... Dallas ................................................................................................................................................... Daviess ................................................................................................................................................ DeKalb ................................................................................................................................................. Dent ..................................................................................................................................................... Douglas ................................................................................................................................................ Dunklin ................................................................................................................................................. Franklin ................................................................................................................................................ Gasconade .......................................................................................................................................... Gentry .................................................................................................................................................. Greene ................................................................................................................................................. Grundy ................................................................................................................................................. Harrison ............................................................................................................................................... Henry ................................................................................................................................................... Hickory ................................................................................................................................................. Holt ...................................................................................................................................................... Howard ................................................................................................................................................ Howell .................................................................................................................................................. Iron ....................................................................................................................................................... Jackson ................................................................................................................................................ Jasper .................................................................................................................................................. Jefferson .............................................................................................................................................. Johnson ............................................................................................................................................... Knox ..................................................................................................................................................... Laclede ................................................................................................................................................ Lafayette .............................................................................................................................................. Lawrence ............................................................................................................................................. Lewis .................................................................................................................................................... Lincoln ................................................................................................................................................. Linn ...................................................................................................................................................... Livingston ............................................................................................................................................. Macon .................................................................................................................................................. Madison ............................................................................................................................................... Maries .................................................................................................................................................. Marion .................................................................................................................................................. McDonald ............................................................................................................................................. Mercer .................................................................................................................................................. Miller .................................................................................................................................................... Mississippi ........................................................................................................................................... Moniteau .............................................................................................................................................. Monroe ................................................................................................................................................. Montgomery ......................................................................................................................................... Morgan ................................................................................................................................................. New Madrid ......................................................................................................................................... Newton ................................................................................................................................................. Nodaway .............................................................................................................................................. Oregon ................................................................................................................................................. Osage .................................................................................................................................................. Ozark ................................................................................................................................................... Pemiscot .............................................................................................................................................. Perry .................................................................................................................................................... Pettis .................................................................................................................................................... Phelps .................................................................................................................................................. Pike ...................................................................................................................................................... Platte .................................................................................................................................................... Polk ...................................................................................................................................................... Pulaski ................................................................................................................................................. Putnam ................................................................................................................................................ Ralls ..................................................................................................................................................... Randolph ............................................................................................................................................. Ray ...................................................................................................................................................... Reynolds .............................................................................................................................................. Ripley ................................................................................................................................................... Saline ................................................................................................................................................... Schuyler ............................................................................................................................................... Scotland ............................................................................................................................................... Scott ..................................................................................................................................................... Shannon .............................................................................................................................................. VerDate Sep<11>2014 19:40 Jul 12, 2024 Jkt 262001 PO 00000 Frm 00082 Fmt 4701 Sfmt 4702 MO MO MO MO MO MO MO MO MO MO MO MO MO MO MO MO MO MO MO MO MO MO MO MO MO MO MO MO MO MO MO MO MO MO MO MO MO MO MO MO MO MO MO MO MO MO MO MO MO MO MO MO MO MO MO MO MO MO MO MO MO MO MO MO MO MO MO MO MO MO MO E:\FR\FM\15JYP3.SGM FIPS code 29051 29053 29055 29057 29059 29061 29063 29065 29067 29069 29071 29073 29075 29077 29079 29081 29083 29085 29087 29089 29091 29093 29095 29097 29099 29101 29103 29105 29107 29109 29111 29113 29115 29117 29121 29123 29125 29127 29119 29129 29131 29133 29135 29137 29139 29141 29143 29145 29147 29149 29151 29153 29155 29157 29159 29161 29163 29165 29167 29169 29171 29173 29175 29177 29179 29181 29195 29197 29199 29201 29203 15JYP3 Class I differential adjusted for location 3.40 3.40 3.60 3.20 3.30 3.20 3.20 3.60 3.30 4.30 3.60 3.60 2.90 3.20 3.20 2.90 3.20 3.20 2.90 3.40 3.60 3.60 3.20 3.20 3.60 3.20 3.20 3.30 3.20 3.20 3.20 3.60 3.20 3.20 3.20 3.60 3.60 3.20 3.20 2.90 3.40 4.00 3.40 3.40 3.40 3.40 4.00 3.20 2.90 4.00 3.60 3.60 4.30 3.60 3.40 3.60 3.40 3.20 3.20 3.40 2.90 3.40 3.40 3.20 3.60 4.00 3.40 3.20 3.20 4.00 3.60 Federal Register / Vol. 89, No. 135 / Monday, July 15, 2024 / Proposed Rules ddrumheller on DSK120RN23PROD with PROPOSALS3 County/parish/city State Shelby .................................................................................................................................................. St. Charles ........................................................................................................................................... St. Clair ................................................................................................................................................ St. Francois ......................................................................................................................................... St. Louis ............................................................................................................................................... St. Louis City ....................................................................................................................................... Ste. Genevieve .................................................................................................................................... Stoddard .............................................................................................................................................. Stone ................................................................................................................................................... Sullivan ................................................................................................................................................ Taney ................................................................................................................................................... Texas ................................................................................................................................................... Vernon ................................................................................................................................................. Warren ................................................................................................................................................. Washington .......................................................................................................................................... Wayne .................................................................................................................................................. Webster ............................................................................................................................................... Worth ................................................................................................................................................... Wright .................................................................................................................................................. Adams .................................................................................................................................................. Alcorn ................................................................................................................................................... Amite .................................................................................................................................................... Attala .................................................................................................................................................... Benton ................................................................................................................................................. Bolivar .................................................................................................................................................. Calhoun ............................................................................................................................................... Carroll .................................................................................................................................................. Chickasaw ........................................................................................................................................... Choctaw ............................................................................................................................................... Claiborne ............................................................................................................................................. Clarke .................................................................................................................................................. Clay ...................................................................................................................................................... Coahoma ............................................................................................................................................. Copiah ................................................................................................................................................. Covington ............................................................................................................................................. DeSoto ................................................................................................................................................. Forrest ................................................................................................................................................. Franklin ................................................................................................................................................ George ................................................................................................................................................. Greene ................................................................................................................................................. Grenada ............................................................................................................................................... Hancock ............................................................................................................................................... Harrison ............................................................................................................................................... Hinds .................................................................................................................................................... Holmes ................................................................................................................................................. Humphreys .......................................................................................................................................... Issaquena ............................................................................................................................................ Itawamba ............................................................................................................................................. Jackson ................................................................................................................................................ Jasper .................................................................................................................................................. Jefferson .............................................................................................................................................. Jefferson Davis .................................................................................................................................... Jones ................................................................................................................................................... Kemper ................................................................................................................................................ Lafayette .............................................................................................................................................. Lamar ................................................................................................................................................... Lauderdale ........................................................................................................................................... Lawrence ............................................................................................................................................. Leake ................................................................................................................................................... Lee ....................................................................................................................................................... Leflore .................................................................................................................................................. Lincoln ................................................................................................................................................. Lowndes .............................................................................................................................................. Madison ............................................................................................................................................... Marion .................................................................................................................................................. Marshall ............................................................................................................................................... Monroe ................................................................................................................................................. Montgomery ......................................................................................................................................... Neshoba .............................................................................................................................................. Newton ................................................................................................................................................. Noxubee .............................................................................................................................................. VerDate Sep<11>2014 19:40 Jul 12, 2024 Jkt 262001 PO 00000 Frm 00083 Fmt 4701 Sfmt 4702 MO MO MO MO MO MO MO MO MO MO MO MO MO MO MO MO MO MO MO MS MS MS MS MS MS MS MS MS MS MS MS MS MS MS MS MS MS MS MS MS MS MS MS MS MS MS MS MS MS MS MS MS MS MS MS MS MS MS MS MS MS MS MS MS MS MS MS MS MS MS MS E:\FR\FM\15JYP3.SGM FIPS code 29205 29183 29185 29187 29189 29510 29186 29207 29209 29211 29213 29215 29217 29219 29221 29223 29225 29227 29229 28001 28003 28005 28007 28009 28011 28013 28015 28017 28019 28021 28023 28025 28027 28029 28031 28033 28035 28037 28039 28041 28043 28045 28047 28049 28051 28053 28055 28057 28059 28061 28063 28065 28067 28069 28071 28073 28075 28077 28079 28081 28083 28085 28087 28089 28091 28093 28095 28097 28099 28101 28103 15JYP3 57661 Class I differential adjusted for location 3.20 3.60 3.20 3.60 3.60 3.60 3.60 4.00 3.30 3.20 3.30 3.60 3.20 3.60 3.60 4.00 3.20 2.90 3.30 5.20 4.90 5.40 5.20 4.90 4.90 5.20 5.20 5.20 5.20 5.20 5.60 5.20 4.90 5.40 5.60 4.60 5.80 5.20 5.80 5.80 5.20 5.80 5.80 5.40 5.20 5.20 5.20 5.20 5.80 5.60 5.20 5.60 5.60 5.40 4.90 5.80 5.60 5.60 5.40 5.20 5.20 5.40 5.20 5.40 5.60 4.90 5.20 5.20 5.40 5.60 5.40 57662 Federal Register / Vol. 89, No. 135 / Monday, July 15, 2024 / Proposed Rules ddrumheller on DSK120RN23PROD with PROPOSALS3 County/parish/city State Oktibbeha ............................................................................................................................................ Panola .................................................................................................................................................. Pearl River ........................................................................................................................................... Perry .................................................................................................................................................... Pike ...................................................................................................................................................... Pontotoc ............................................................................................................................................... Prentiss ................................................................................................................................................ Quitman ............................................................................................................................................... Rankin .................................................................................................................................................. Scott ..................................................................................................................................................... Sharkey ................................................................................................................................................ Simpson ............................................................................................................................................... Smith .................................................................................................................................................... Stone ................................................................................................................................................... Sunflower ............................................................................................................................................. Tallahatchie ......................................................................................................................................... Tate ...................................................................................................................................................... Tippah .................................................................................................................................................. Tishomingo .......................................................................................................................................... Tunica .................................................................................................................................................. Union ................................................................................................................................................... Walthall ................................................................................................................................................ Warren ................................................................................................................................................. Washington .......................................................................................................................................... Wayne .................................................................................................................................................. Webster ............................................................................................................................................... Wilkinson ............................................................................................................................................. Winston ................................................................................................................................................ Yalobusha ............................................................................................................................................ Yazoo ................................................................................................................................................... Beaverhead ......................................................................................................................................... Big Horn ............................................................................................................................................... Blaine ................................................................................................................................................... Broadwater .......................................................................................................................................... Carbon ................................................................................................................................................. Carter ................................................................................................................................................... Cascade ............................................................................................................................................... Chouteau ............................................................................................................................................. Custer .................................................................................................................................................. Daniels ................................................................................................................................................. Dawson ................................................................................................................................................ Deer Lodge .......................................................................................................................................... Fallon ................................................................................................................................................... Fergus .................................................................................................................................................. Flathead ............................................................................................................................................... Gallatin ................................................................................................................................................. Garfield ................................................................................................................................................ Glacier ................................................................................................................................................. Golden Valley ...................................................................................................................................... Granite ................................................................................................................................................. Hill ........................................................................................................................................................ Jefferson .............................................................................................................................................. Judith Basin ......................................................................................................................................... Lake ..................................................................................................................................................... Lewis and Clark ................................................................................................................................... Liberty .................................................................................................................................................. Lincoln ................................................................................................................................................. Madison ............................................................................................................................................... McCone ............................................................................................................................................... Meagher ............................................................................................................................................... Mineral ................................................................................................................................................. Missoula ............................................................................................................................................... Musselshell .......................................................................................................................................... Park ..................................................................................................................................................... Petroleum ............................................................................................................................................ Phillips ................................................................................................................................................. Pondera ............................................................................................................................................... Powder River ....................................................................................................................................... Powell .................................................................................................................................................. Prairie .................................................................................................................................................. Ravalli .................................................................................................................................................. VerDate Sep<11>2014 19:40 Jul 12, 2024 Jkt 262001 PO 00000 Frm 00084 Fmt 4701 Sfmt 4702 MS MS MS MS MS MS MS MS MS MS MS MS MS MS MS MS MS MS MS MS MS MS MS MS MS MS MS MS MS MS MT MT MT MT MT MT MT MT MT MT MT MT MT MT MT MT MT MT MT MT MT MT MT MT MT MT MT MT MT MT MT MT MT MT MT MT MT MT MT MT MT E:\FR\FM\15JYP3.SGM FIPS code 28105 28107 28109 28111 28113 28115 28117 28119 28121 28123 28125 28127 28129 28131 28133 28135 28137 28139 28141 28143 28145 28147 28149 28151 28153 28155 28157 28159 28161 28163 30001 30003 30005 30007 30009 30011 30013 30015 30017 30019 30021 30023 30025 30027 30029 30031 30033 30035 30037 30039 30041 30043 30045 30047 30049 30051 30053 30057 30055 30059 30061 30063 30065 30067 30069 30071 30073 30075 30077 30079 30081 15JYP3 Class I differential adjusted for location 5.20 4.90 5.80 5.80 5.40 4.90 4.90 4.90 5.40 5.40 5.20 5.60 5.60 5.80 4.90 4.90 4.90 4.90 4.90 4.60 4.90 5.60 5.20 4.90 5.80 5.20 5.20 5.40 4.90 5.20 1.80 2.40 2.00 1.80 2.40 2.40 1.80 1.80 2.40 2.30 2.40 1.80 2.40 2.00 2.00 2.00 2.40 1.80 2.00 1.80 1.80 1.80 2.00 2.00 1.70 1.80 2.00 1.80 2.40 1.80 2.00 1.80 2.40 2.00 2.40 2.30 1.70 2.40 1.80 2.40 1.80 Federal Register / Vol. 89, No. 135 / Monday, July 15, 2024 / Proposed Rules ddrumheller on DSK120RN23PROD with PROPOSALS3 County/parish/city State Richland ............................................................................................................................................... Roosevelt ............................................................................................................................................. Rosebud .............................................................................................................................................. Sanders ............................................................................................................................................... Sheridan .............................................................................................................................................. Silver Bow ............................................................................................................................................ Stillwater .............................................................................................................................................. Sweet Grass ........................................................................................................................................ Teton .................................................................................................................................................... Toole .................................................................................................................................................... Treasure .............................................................................................................................................. Valley ................................................................................................................................................... Wheatland ............................................................................................................................................ Wibaux ................................................................................................................................................. Yellowstone ......................................................................................................................................... Alamance ............................................................................................................................................. Alexander ............................................................................................................................................. Alleghany ............................................................................................................................................. Anson ................................................................................................................................................... Ashe ..................................................................................................................................................... Avery .................................................................................................................................................... Beaufort ............................................................................................................................................... Bertie ................................................................................................................................................... Bladen .................................................................................................................................................. Brunswick ............................................................................................................................................ Buncombe ............................................................................................................................................ Burke ................................................................................................................................................... Cabarrus .............................................................................................................................................. Caldwell ............................................................................................................................................... Camden ............................................................................................................................................... Carteret ................................................................................................................................................ Caswell ................................................................................................................................................ Catawba ............................................................................................................................................... Chatham .............................................................................................................................................. Cherokee ............................................................................................................................................. Chowan ................................................................................................................................................ Clay ...................................................................................................................................................... Cleveland ............................................................................................................................................. Columbus ............................................................................................................................................. Craven ................................................................................................................................................. Cumberland ......................................................................................................................................... Currituck .............................................................................................................................................. Dare ..................................................................................................................................................... Davidson .............................................................................................................................................. Davie .................................................................................................................................................... Duplin ................................................................................................................................................... Durham ................................................................................................................................................ Edgecombe .......................................................................................................................................... Forsyth ................................................................................................................................................. Franklin ................................................................................................................................................ Gaston ................................................................................................................................................. Gates ................................................................................................................................................... Graham ................................................................................................................................................ Granville ............................................................................................................................................... Greene ................................................................................................................................................. Guilford ................................................................................................................................................ Halifax .................................................................................................................................................. Harnett ................................................................................................................................................. Haywood .............................................................................................................................................. Henderson ........................................................................................................................................... Hertford ................................................................................................................................................ Hoke .................................................................................................................................................... Hyde .................................................................................................................................................... Iredell ................................................................................................................................................... Jackson ................................................................................................................................................ Johnston .............................................................................................................................................. Jones ................................................................................................................................................... Lee ....................................................................................................................................................... Lenoir ................................................................................................................................................... Lincoln ................................................................................................................................................. Macon .................................................................................................................................................. VerDate Sep<11>2014 19:40 Jul 12, 2024 Jkt 262001 PO 00000 Frm 00085 Fmt 4701 Sfmt 4702 MT MT MT MT MT MT MT MT MT MT MT MT MT MT MT NC NC NC NC NC NC NC NC NC NC NC NC NC NC NC NC NC NC NC NC NC NC NC NC NC NC NC NC NC NC NC NC NC NC NC NC NC NC NC NC NC NC NC NC NC NC NC NC NC NC NC NC NC NC NC NC E:\FR\FM\15JYP3.SGM FIPS code 30083 30085 30087 30089 30091 30093 30095 30097 30099 30101 30103 30105 30107 30109 30111 37001 37003 37005 37007 37009 37011 37013 37015 37017 37019 37021 37023 37025 37027 37029 37031 37033 37035 37037 37039 37041 37043 37045 37047 37049 37051 37053 37055 37057 37059 37061 37063 37065 37067 37069 37071 37073 37075 37077 37079 37081 37083 37085 37087 37089 37091 37093 37095 37097 37099 37101 37103 37105 37107 37109 37113 15JYP3 57663 Class I differential adjusted for location 2.40 2.30 2.40 2.00 2.30 1.80 2.40 2.00 1.70 1.80 2.40 2.30 2.00 2.40 2.40 5.40 5.60 5.40 5.80 5.40 5.40 5.80 5.60 5.80 6.00 5.40 5.60 5.60 5.60 5.60 6.00 5.40 5.60 5.60 5.40 5.60 5.60 5.60 6.00 6.00 5.80 5.60 5.80 5.60 5.60 5.80 5.40 5.60 5.40 5.60 5.60 5.60 5.40 5.40 5.80 5.40 5.60 5.80 5.40 5.60 5.60 5.80 5.80 5.60 5.60 5.80 6.00 5.60 5.80 5.60 5.60 57664 Federal Register / Vol. 89, No. 135 / Monday, July 15, 2024 / Proposed Rules ddrumheller on DSK120RN23PROD with PROPOSALS3 County/parish/city State Madison ............................................................................................................................................... Martin ................................................................................................................................................... McDowell ............................................................................................................................................. Mecklenburg ........................................................................................................................................ Mitchell ................................................................................................................................................. Montgomery ......................................................................................................................................... Moore ................................................................................................................................................... Nash .................................................................................................................................................... New Hanover ....................................................................................................................................... Northampton ........................................................................................................................................ Onslow ................................................................................................................................................. Orange ................................................................................................................................................. Pamlico ................................................................................................................................................ Pasquotank .......................................................................................................................................... Pender ................................................................................................................................................. Perquimans .......................................................................................................................................... Person ................................................................................................................................................. Pitt ........................................................................................................................................................ Polk ...................................................................................................................................................... Randolph ............................................................................................................................................. Richmond ............................................................................................................................................. Robeson .............................................................................................................................................. Rockingham ......................................................................................................................................... Rowan .................................................................................................................................................. Rutherford ............................................................................................................................................ Sampson .............................................................................................................................................. Scotland ............................................................................................................................................... Stanly ................................................................................................................................................... Stokes .................................................................................................................................................. Surry .................................................................................................................................................... Swain ................................................................................................................................................... Transylvania ........................................................................................................................................ Tyrrell ................................................................................................................................................... Union ................................................................................................................................................... Vance ................................................................................................................................................... Wake .................................................................................................................................................... Warren ................................................................................................................................................. Washington .......................................................................................................................................... Watauga .............................................................................................................................................. Wayne .................................................................................................................................................. Wilkes .................................................................................................................................................. Wilson .................................................................................................................................................. Yadkin .................................................................................................................................................. Yancey ................................................................................................................................................. Adams .................................................................................................................................................. Barnes ................................................................................................................................................. Benson ................................................................................................................................................. Billings ................................................................................................................................................. Bottineau .............................................................................................................................................. Bowman ............................................................................................................................................... Burke ................................................................................................................................................... Burleigh ................................................................................................................................................ Cass ..................................................................................................................................................... Cavalier ................................................................................................................................................ Dickey .................................................................................................................................................. Divide ................................................................................................................................................... Dunn .................................................................................................................................................... Eddy ..................................................................................................................................................... Emmons ............................................................................................................................................... Foster ................................................................................................................................................... Golden Valley ...................................................................................................................................... Grand Forks ......................................................................................................................................... Grant .................................................................................................................................................... Griggs .................................................................................................................................................. Hettinger .............................................................................................................................................. Kidder .................................................................................................................................................. LaMoure ............................................................................................................................................... Logan ................................................................................................................................................... McHenry .............................................................................................................................................. McIntosh .............................................................................................................................................. McKenzie ............................................................................................................................................. VerDate Sep<11>2014 19:40 Jul 12, 2024 Jkt 262001 PO 00000 Frm 00086 Fmt 4701 Sfmt 4702 NC NC NC NC NC NC NC NC NC NC NC NC NC NC NC NC NC NC NC NC NC NC NC NC NC NC NC NC NC NC NC NC NC NC NC NC NC NC NC NC NC NC NC NC ND ND ND ND ND ND ND ND ND ND ND ND ND ND ND ND ND ND ND ND ND ND ND ND ND ND ND E:\FR\FM\15JYP3.SGM FIPS code 37115 37117 37111 37119 37121 37123 37125 37127 37129 37131 37133 37135 37137 37139 37141 37143 37145 37147 37149 37151 37153 37155 37157 37159 37161 37163 37165 37167 37169 37171 37173 37175 37177 37179 37181 37183 37185 37187 37189 37191 37193 37195 37197 37199 38001 38003 38005 38007 38009 38011 38013 38015 38017 38019 38021 38023 38025 38027 38029 38031 38033 38035 38037 38039 38041 38043 38045 38047 38049 38051 38053 15JYP3 Class I differential adjusted for location 5.40 5.80 5.60 5.60 5.40 5.60 5.60 5.60 6.00 5.60 6.00 5.40 6.00 5.60 6.00 5.60 5.40 5.80 5.60 5.60 5.80 5.80 5.40 5.60 5.60 5.80 5.80 5.60 5.40 5.40 5.40 5.60 5.80 5.80 5.40 5.60 5.40 5.80 5.40 5.80 5.40 5.80 5.40 5.40 2.40 2.60 2.30 2.40 2.30 2.40 2.30 2.40 2.70 2.30 2.60 2.30 2.40 2.40 2.40 2.40 2.40 2.30 2.40 2.60 2.40 2.40 2.60 2.40 2.30 2.40 2.40 Federal Register / Vol. 89, No. 135 / Monday, July 15, 2024 / Proposed Rules ddrumheller on DSK120RN23PROD with PROPOSALS3 County/parish/city State McLean ................................................................................................................................................ Mercer .................................................................................................................................................. Morton .................................................................................................................................................. Mountrail .............................................................................................................................................. Nelson .................................................................................................................................................. Oliver ................................................................................................................................................... Pembina ............................................................................................................................................... Pierce ................................................................................................................................................... Ramsey ................................................................................................................................................ Ransom ............................................................................................................................................... Renville ................................................................................................................................................ Richland ............................................................................................................................................... Rolette ................................................................................................................................................. Sargent ................................................................................................................................................ Sheridan .............................................................................................................................................. Sioux .................................................................................................................................................... Slope .................................................................................................................................................... Stark .................................................................................................................................................... Steele ................................................................................................................................................... Stutsman .............................................................................................................................................. Towner ................................................................................................................................................. Traill ..................................................................................................................................................... Walsh ................................................................................................................................................... Ward .................................................................................................................................................... Wells .................................................................................................................................................... Williams ............................................................................................................................................... Adams .................................................................................................................................................. Antelope ............................................................................................................................................... Arthur ................................................................................................................................................... Banner ................................................................................................................................................. Blaine ................................................................................................................................................... Boone .................................................................................................................................................. Box Butte ............................................................................................................................................. Boyd ..................................................................................................................................................... Brown ................................................................................................................................................... Buffalo .................................................................................................................................................. Burt ...................................................................................................................................................... Butler ................................................................................................................................................... Cass ..................................................................................................................................................... Cedar ................................................................................................................................................... Chase .................................................................................................................................................. Cherry .................................................................................................................................................. Cheyenne ............................................................................................................................................ Clay ...................................................................................................................................................... Colfax ................................................................................................................................................... Cuming ................................................................................................................................................ Custer .................................................................................................................................................. Dakota ................................................................................................................................................. Dawes .................................................................................................................................................. Dawson ................................................................................................................................................ Deuel ................................................................................................................................................... Dixon .................................................................................................................................................... Dodge .................................................................................................................................................. Douglas ................................................................................................................................................ Dundy .................................................................................................................................................. Fillmore ................................................................................................................................................ Franklin ................................................................................................................................................ Frontier ................................................................................................................................................ Furnas .................................................................................................................................................. Gage .................................................................................................................................................... Garden County .................................................................................................................................... Garfield ................................................................................................................................................ Gosper ................................................................................................................................................. Grant .................................................................................................................................................... Greeley ................................................................................................................................................ Hall ....................................................................................................................................................... Hamilton ............................................................................................................................................... Harlan .................................................................................................................................................. Hayes ................................................................................................................................................... Hitchcock ............................................................................................................................................. Holt ...................................................................................................................................................... VerDate Sep<11>2014 19:40 Jul 12, 2024 Jkt 262001 PO 00000 Frm 00087 Fmt 4701 Sfmt 4702 ND ND ND ND ND ND ND ND ND ND ND ND ND ND ND ND ND ND ND ND ND ND ND ND ND ND NE NE NE NE NE NE NE NE NE NE NE NE NE NE NE NE NE NE NE NE NE NE NE NE NE NE NE NE NE NE NE NE NE NE NE NE NE NE NE NE NE NE NE NE NE E:\FR\FM\15JYP3.SGM FIPS code 38055 38057 38059 38061 38063 38065 38067 38069 38071 38073 38075 38077 38079 38081 38083 38085 38087 38089 38091 38093 38095 38097 38099 38101 38103 38105 31001 31003 31005 31007 31009 31011 31013 31015 31017 31019 31021 31023 31025 31027 31029 31031 31033 31035 31037 31039 31041 31043 31045 31047 31049 31051 31053 31055 31057 31059 31061 31063 31065 31067 31069 31071 31073 31075 31077 31079 31081 31083 31085 31087 31089 15JYP3 57665 Class I differential adjusted for location 2.40 2.40 2.40 2.30 2.30 2.40 2.30 2.30 2.30 2.60 2.30 2.60 2.30 2.60 2.40 2.40 2.40 2.40 2.60 2.40 2.30 2.60 2.30 2.30 2.40 2.30 2.60 2.60 2.40 2.40 2.50 2.60 2.40 2.50 2.50 2.50 2.60 2.60 2.70 2.60 2.50 2.40 2.40 2.60 2.60 2.60 2.50 2.60 2.40 2.50 2.40 2.60 2.60 2.70 2.50 2.60 2.60 2.50 2.50 2.70 2.40 2.50 2.50 2.40 2.60 2.60 2.60 2.50 2.50 2.50 2.50 57666 Federal Register / Vol. 89, No. 135 / Monday, July 15, 2024 / Proposed Rules ddrumheller on DSK120RN23PROD with PROPOSALS3 County/parish/city State Hooker ................................................................................................................................................. Howard ................................................................................................................................................ Jefferson .............................................................................................................................................. Johnson ............................................................................................................................................... Kearney ............................................................................................................................................... Keith ..................................................................................................................................................... Keya Paha ........................................................................................................................................... Kimball ................................................................................................................................................. Knox ..................................................................................................................................................... Lancaster ............................................................................................................................................. Lincoln ................................................................................................................................................. Logan ................................................................................................................................................... Loup ..................................................................................................................................................... Madison ............................................................................................................................................... McPherson ........................................................................................................................................... Merrick ................................................................................................................................................. Morrill ................................................................................................................................................... Nance .................................................................................................................................................. Nemaha ............................................................................................................................................... Nuckolls ............................................................................................................................................... Otoe ..................................................................................................................................................... Pawnee ................................................................................................................................................ Perkins ................................................................................................................................................. Phelps .................................................................................................................................................. Pierce ................................................................................................................................................... Platte .................................................................................................................................................... Polk ...................................................................................................................................................... Red Willow ........................................................................................................................................... Richardson ........................................................................................................................................... Rock ..................................................................................................................................................... Saline ................................................................................................................................................... Sarpy ................................................................................................................................................... Saunders ............................................................................................................................................. Scotts Bluff .......................................................................................................................................... Seward ................................................................................................................................................. Sheridan .............................................................................................................................................. Sherman .............................................................................................................................................. Sioux .................................................................................................................................................... Stanton ................................................................................................................................................ Thayer .................................................................................................................................................. Thomas ................................................................................................................................................ Thurston ............................................................................................................................................... Valley ................................................................................................................................................... Washington .......................................................................................................................................... Wayne .................................................................................................................................................. Webster ............................................................................................................................................... Wheeler ............................................................................................................................................... York ..................................................................................................................................................... Belknap ................................................................................................................................................ Carroll .................................................................................................................................................. Cheshire .............................................................................................................................................. Coos .................................................................................................................................................... Grafton ................................................................................................................................................. Hillsborough ......................................................................................................................................... Merrimack ............................................................................................................................................ Rockingham ......................................................................................................................................... Strafford ............................................................................................................................................... Sullivan ................................................................................................................................................ Atlantic ................................................................................................................................................. Bergen ................................................................................................................................................. Burlington ............................................................................................................................................. Camden ............................................................................................................................................... Cape May ............................................................................................................................................ Cumberland ......................................................................................................................................... Essex ................................................................................................................................................... Gloucester ........................................................................................................................................... Hudson ................................................................................................................................................ Hunterdon ............................................................................................................................................ Mercer .................................................................................................................................................. Middlesex ............................................................................................................................................. Monmouth ............................................................................................................................................ VerDate Sep<11>2014 19:40 Jul 12, 2024 Jkt 262001 PO 00000 Frm 00088 Fmt 4701 Sfmt 4702 NE NE NE NE NE NE NE NE NE NE NE NE NE NE NE NE NE NE NE NE NE NE NE NE NE NE NE NE NE NE NE NE NE NE NE NE NE NE NE NE NE NE NE NE NE NE NE NE NH NH NH NH NH NH NH NH NH NH NJ NJ NJ NJ NJ NJ NJ NJ NJ NJ NJ NJ NJ E:\FR\FM\15JYP3.SGM FIPS code 31091 31093 31095 31097 31099 31101 31103 31105 31107 31109 31111 31113 31115 31119 31117 31121 31123 31125 31127 31129 31131 31133 31135 31137 31139 31141 31143 31145 31147 31149 31151 31153 31155 31157 31159 31161 31163 31165 31167 31169 31171 31173 31175 31177 31179 31181 31183 31185 33001 33003 33005 33007 33009 33011 33013 33015 33017 33019 34001 34003 34005 34007 34009 34011 34013 34015 34017 34019 34021 34023 34025 15JYP3 Class I differential adjusted for location 2.40 2.60 2.60 2.70 2.60 2.50 2.50 2.40 2.60 2.60 2.50 2.40 2.50 2.60 2.40 2.60 2.40 2.60 2.70 2.60 2.70 2.70 2.50 2.50 2.60 2.60 2.60 2.50 2.70 2.50 2.60 2.70 2.60 2.40 2.60 2.40 2.50 2.40 2.60 2.60 2.40 2.60 2.50 2.60 2.60 2.60 2.50 2.60 4.50 4.50 4.50 4.20 4.40 4.50 4.50 4.50 4.50 4.50 4.80 5.00 4.80 4.70 4.80 4.70 5.00 4.70 5.00 4.70 4.70 4.90 4.90 Federal Register / Vol. 89, No. 135 / Monday, July 15, 2024 / Proposed Rules ddrumheller on DSK120RN23PROD with PROPOSALS3 County/parish/city State Morris ................................................................................................................................................... Ocean .................................................................................................................................................. Passaic ................................................................................................................................................ Salem ................................................................................................................................................... Somerset ............................................................................................................................................. Sussex ................................................................................................................................................. Union ................................................................................................................................................... Warren ................................................................................................................................................. Bernalillo .............................................................................................................................................. Catron .................................................................................................................................................. Chaves ................................................................................................................................................. Cibola ................................................................................................................................................... Colfax ................................................................................................................................................... Curry .................................................................................................................................................... DeBaca ................................................................................................................................................ Dona Ana ............................................................................................................................................. Eddy ..................................................................................................................................................... Grant .................................................................................................................................................... Guadalupe ........................................................................................................................................... Harding ................................................................................................................................................ Hidalgo ................................................................................................................................................. Lea ....................................................................................................................................................... Lincoln ................................................................................................................................................. Los Alamos .......................................................................................................................................... Luna ..................................................................................................................................................... McKinley .............................................................................................................................................. Mora ..................................................................................................................................................... Otero .................................................................................................................................................... Quay .................................................................................................................................................... Rio Arriba ............................................................................................................................................. Roosevelt ............................................................................................................................................. San Juan ............................................................................................................................................. San Miguel ........................................................................................................................................... Sandoval .............................................................................................................................................. Santa Fe .............................................................................................................................................. Sierra ................................................................................................................................................... Socorro ................................................................................................................................................ Taos ..................................................................................................................................................... Torrance .............................................................................................................................................. Union ................................................................................................................................................... Valencia ............................................................................................................................................... Carson City .......................................................................................................................................... Churchill ............................................................................................................................................... Clark .................................................................................................................................................... Douglas ................................................................................................................................................ Elko ...................................................................................................................................................... Esmeralda ............................................................................................................................................ Eureka ................................................................................................................................................. Humboldt ............................................................................................................................................. Lander .................................................................................................................................................. Lincoln ................................................................................................................................................. Lyon ..................................................................................................................................................... Mineral ................................................................................................................................................. Nye ...................................................................................................................................................... Pershing ............................................................................................................................................... Storey .................................................................................................................................................. Washoe ................................................................................................................................................ White Pine ........................................................................................................................................... Albany .................................................................................................................................................. Allegany ............................................................................................................................................... Bronx ................................................................................................................................................... Broome ................................................................................................................................................ Cattaraugus ......................................................................................................................................... Cayuga ................................................................................................................................................ Chautauqua ......................................................................................................................................... Chemung ............................................................................................................................................. Chenango ............................................................................................................................................ Clinton .................................................................................................................................................. Columbia .............................................................................................................................................. Cortland ............................................................................................................................................... Delaware .............................................................................................................................................. VerDate Sep<11>2014 19:40 Jul 12, 2024 Jkt 262001 PO 00000 Frm 00089 Fmt 4701 Sfmt 4702 NJ NJ NJ NJ NJ NJ NJ NJ NM NM NM NM NM NM NM NM NM NM NM NM NM NM NM NM NM NM NM NM NM NM NM NM NM NM NM NM NM NM NM NM NM NV NV NV NV NV NV NV NV NV NV NV NV NV NV NV NV NV NY NY NY NY NY NY NY NY NY NY NY NY NY E:\FR\FM\15JYP3.SGM FIPS code 34027 34029 34031 34033 34035 34037 34039 34041 35001 35003 35005 35006 35007 35009 35011 35013 35015 35017 35019 35021 35023 35025 35027 35028 35029 35031 35033 35035 35037 35039 35041 35045 35047 35043 35049 35051 35053 35055 35057 35059 35061 32510 32001 32003 32005 32007 32009 32011 32013 32015 32017 32019 32021 32023 32027 32029 32031 32033 36001 36003 36005 36007 36009 36011 36013 36015 36017 36019 36021 36023 36025 15JYP3 57667 Class I differential adjusted for location 4.90 4.90 5.00 4.70 4.90 4.70 5.00 4.70 2.40 2.30 2.50 2.30 2.50 2.50 2.50 2.50 2.50 2.50 2.50 2.50 2.50 2.50 2.50 2.40 2.50 2.30 2.50 2.50 2.50 2.30 2.50 2.30 2.50 2.40 2.40 2.50 2.40 2.50 2.40 2.50 2.40 1.90 1.90 2.60 1.80 2.00 2.20 2.20 1.90 2.00 2.50 1.90 2.00 2.20 1.90 1.90 2.00 2.20 4.40 3.90 5.10 4.00 3.90 3.90 3.90 4.00 4.00 4.20 4.40 3.90 4.20 57668 Federal Register / Vol. 89, No. 135 / Monday, July 15, 2024 / Proposed Rules ddrumheller on DSK120RN23PROD with PROPOSALS3 County/parish/city State Dutchess .............................................................................................................................................. Erie ...................................................................................................................................................... Essex ................................................................................................................................................... Franklin ................................................................................................................................................ Fulton ................................................................................................................................................... Genesee .............................................................................................................................................. Greene ................................................................................................................................................. Hamilton ............................................................................................................................................... Herkimer .............................................................................................................................................. Jefferson .............................................................................................................................................. Kings .................................................................................................................................................... Lewis .................................................................................................................................................... Livingston ............................................................................................................................................. Madison ............................................................................................................................................... Monroe ................................................................................................................................................. Montgomery ......................................................................................................................................... Nassau ................................................................................................................................................. New York County ................................................................................................................................ Niagara ................................................................................................................................................ Oneida ................................................................................................................................................. Onondaga ............................................................................................................................................ Ontario ................................................................................................................................................. Orange ................................................................................................................................................. Orleans ................................................................................................................................................ Oswego ................................................................................................................................................ Otsego ................................................................................................................................................. Putnam ................................................................................................................................................ Queens ................................................................................................................................................ Rensselaer ........................................................................................................................................... Richmond ............................................................................................................................................. Rockland .............................................................................................................................................. Saratoga .............................................................................................................................................. Schenectady ........................................................................................................................................ Schoharie ............................................................................................................................................. Schuyler ............................................................................................................................................... Seneca ................................................................................................................................................. St. Lawrence ........................................................................................................................................ Steuben ............................................................................................................................................... Suffolk .................................................................................................................................................. Sullivan ................................................................................................................................................ Tioga .................................................................................................................................................... Tompkins ............................................................................................................................................. Ulster ................................................................................................................................................... Warren ................................................................................................................................................. Washington .......................................................................................................................................... Wayne .................................................................................................................................................. Westchester ......................................................................................................................................... Wyoming .............................................................................................................................................. Yates .................................................................................................................................................... Adams .................................................................................................................................................. Allen ..................................................................................................................................................... Ashland ................................................................................................................................................ Ashtabula ............................................................................................................................................. Athens .................................................................................................................................................. Auglaize ............................................................................................................................................... Belmont ................................................................................................................................................ Brown ................................................................................................................................................... Butler ................................................................................................................................................... Carroll .................................................................................................................................................. Champaign .......................................................................................................................................... Clark .................................................................................................................................................... Clermont .............................................................................................................................................. Clinton .................................................................................................................................................. Columbiana .......................................................................................................................................... Coshocton ............................................................................................................................................ Crawford .............................................................................................................................................. Cuyahoga ............................................................................................................................................ Darke ................................................................................................................................................... Defiance ............................................................................................................................................... Delaware .............................................................................................................................................. Erie ...................................................................................................................................................... VerDate Sep<11>2014 19:40 Jul 12, 2024 Jkt 262001 PO 00000 Frm 00090 Fmt 4701 Sfmt 4702 NY NY NY NY NY NY NY NY NY NY NY NY NY NY NY NY NY NY NY NY NY NY NY NY NY NY NY NY NY NY NY NY NY NY NY NY NY NY NY NY NY NY NY NY NY NY NY NY NY OH OH OH OH OH OH OH OH OH OH OH OH OH OH OH OH OH OH OH OH OH OH E:\FR\FM\15JYP3.SGM FIPS code 36027 36029 36031 36033 36035 36037 36039 36041 36043 36045 36047 36049 36051 36053 36055 36057 36059 36061 36063 36065 36067 36069 36071 36073 36075 36077 36079 36081 36083 36085 36087 36091 36093 36095 36097 36099 36089 36101 36103 36105 36107 36109 36111 36113 36115 36117 36119 36121 36123 39001 39003 39005 39007 39009 39011 39013 39015 39017 39019 39021 39023 39025 39027 39029 39031 39033 39035 39037 39039 39041 39043 15JYP3 Class I differential adjusted for location 4.70 3.80 4.20 4.10 4.10 3.80 4.40 4.10 4.00 4.00 5.10 4.00 3.80 3.90 3.80 4.10 5.10 5.10 3.80 3.90 3.90 3.80 4.70 3.80 3.90 4.10 4.70 5.10 4.40 5.10 5.00 4.20 4.20 4.20 3.90 3.90 4.00 3.90 5.10 4.40 4.00 3.90 4.40 4.20 4.20 3.80 5.00 3.80 3.80 4.00 3.30 3.80 3.80 4.00 3.60 4.00 4.00 3.80 3.80 3.60 3.60 4.00 3.80 4.00 3.80 3.60 3.80 3.60 3.30 3.60 3.60 Federal Register / Vol. 89, No. 135 / Monday, July 15, 2024 / Proposed Rules ddrumheller on DSK120RN23PROD with PROPOSALS3 County/parish/city State Fairfield ................................................................................................................................................ Fayette ................................................................................................................................................. Franklin ................................................................................................................................................ Fulton ................................................................................................................................................... Gallia .................................................................................................................................................... Geauga ................................................................................................................................................ Greene ................................................................................................................................................. Guernsey ............................................................................................................................................. Hamilton ............................................................................................................................................... Hancock ............................................................................................................................................... Hardin .................................................................................................................................................. Harrison ............................................................................................................................................... Henry ................................................................................................................................................... Highland ............................................................................................................................................... Hocking ................................................................................................................................................ Holmes ................................................................................................................................................. Huron ................................................................................................................................................... Jackson ................................................................................................................................................ Jefferson .............................................................................................................................................. Knox ..................................................................................................................................................... Lake ..................................................................................................................................................... Lawrence ............................................................................................................................................. Licking .................................................................................................................................................. Logan ................................................................................................................................................... Lorain ................................................................................................................................................... Lucas ................................................................................................................................................... Madison ............................................................................................................................................... Mahoning ............................................................................................................................................. Marion .................................................................................................................................................. Medina ................................................................................................................................................. Meigs ................................................................................................................................................... Mercer .................................................................................................................................................. Miami ................................................................................................................................................... Monroe ................................................................................................................................................. Montgomery ......................................................................................................................................... Morgan ................................................................................................................................................. Morrow ................................................................................................................................................. Muskingum .......................................................................................................................................... Noble ................................................................................................................................................... Ottawa ................................................................................................................................................. Paulding ............................................................................................................................................... Perry .................................................................................................................................................... Pickaway .............................................................................................................................................. Pike ...................................................................................................................................................... Portage ................................................................................................................................................ Preble .................................................................................................................................................. Putnam ................................................................................................................................................ Richland ............................................................................................................................................... Ross ..................................................................................................................................................... Sandusky ............................................................................................................................................. Scioto ................................................................................................................................................... Seneca ................................................................................................................................................. Shelby .................................................................................................................................................. Stark .................................................................................................................................................... Summit ................................................................................................................................................. Trumbull ............................................................................................................................................... Tuscarawas ......................................................................................................................................... Union ................................................................................................................................................... Van Wert .............................................................................................................................................. Vinton ................................................................................................................................................... Warren ................................................................................................................................................. Washington .......................................................................................................................................... Wayne .................................................................................................................................................. Williams ............................................................................................................................................... Wood ................................................................................................................................................... Wyandot ............................................................................................................................................... Adair .................................................................................................................................................... Alfalfa ................................................................................................................................................... Atoka .................................................................................................................................................... Beaver ................................................................................................................................................. Beckham .............................................................................................................................................. VerDate Sep<11>2014 19:40 Jul 12, 2024 Jkt 262001 PO 00000 Frm 00091 Fmt 4701 Sfmt 4702 OH OH OH OH OH OH OH OH OH OH OH OH OH OH OH OH OH OH OH OH OH OH OH OH OH OH OH OH OH OH OH OH OH OH OH OH OH OH OH OH OH OH OH OH OH OH OH OH OH OH OH OH OH OH OH OH OH OH OH OH OH OH OH OH OH OH OK OK OK OK OK E:\FR\FM\15JYP3.SGM FIPS code 39045 39047 39049 39051 39053 39055 39057 39059 39061 39063 39065 39067 39069 39071 39073 39075 39077 39079 39081 39083 39085 39087 39089 39091 39093 39095 39097 39099 39101 39103 39105 39107 39109 39111 39113 39115 39117 39119 39121 39123 39125 39127 39129 39131 39133 39135 39137 39139 39141 39143 39145 39147 39149 39151 39153 39155 39157 39159 39161 39163 39165 39167 39169 39171 39173 39175 40001 40003 40005 40007 40009 15JYP3 57669 Class I differential adjusted for location 3.80 3.80 3.60 3.30 4.30 3.80 3.60 3.80 3.80 3.60 3.60 3.80 3.30 4.00 4.00 3.80 3.60 4.00 4.00 3.80 3.80 4.30 3.80 3.60 3.80 3.30 3.60 4.00 3.60 3.80 4.30 3.30 3.60 4.00 3.60 4.00 3.60 3.80 4.00 3.60 3.30 4.00 3.80 4.00 3.80 3.60 3.30 3.60 4.00 3.60 4.00 3.60 3.60 3.80 3.80 4.00 3.80 3.60 3.30 4.00 3.80 4.00 3.80 3.30 3.60 3.60 3.30 2.60 3.60 2.50 2.60 57670 Federal Register / Vol. 89, No. 135 / Monday, July 15, 2024 / Proposed Rules ddrumheller on DSK120RN23PROD with PROPOSALS3 County/parish/city State Blaine ................................................................................................................................................... Bryan ................................................................................................................................................... Caddo .................................................................................................................................................. Canadian ............................................................................................................................................. Carter ................................................................................................................................................... Cherokee ............................................................................................................................................. Choctaw ............................................................................................................................................... Cimarron .............................................................................................................................................. Cleveland ............................................................................................................................................. Coal ..................................................................................................................................................... Comanche ........................................................................................................................................... Cotton .................................................................................................................................................. Craig .................................................................................................................................................... Creek ................................................................................................................................................... Custer .................................................................................................................................................. Delaware .............................................................................................................................................. Dewey .................................................................................................................................................. Ellis ...................................................................................................................................................... Garfield ................................................................................................................................................ Garvin .................................................................................................................................................. Grady ................................................................................................................................................... Grant .................................................................................................................................................... Greer .................................................................................................................................................... Harmon ................................................................................................................................................ Harper .................................................................................................................................................. Haskell ................................................................................................................................................. Hughes ................................................................................................................................................ Jackson ................................................................................................................................................ Jefferson .............................................................................................................................................. Johnston .............................................................................................................................................. Kay ....................................................................................................................................................... Kingfisher ............................................................................................................................................. Kiowa ................................................................................................................................................... Latimer ................................................................................................................................................. Le Flore ............................................................................................................................................... Lincoln ................................................................................................................................................. Logan ................................................................................................................................................... Love ..................................................................................................................................................... Major .................................................................................................................................................... Marshall ............................................................................................................................................... Mayes .................................................................................................................................................. McClain ................................................................................................................................................ McCurtain ............................................................................................................................................ McIntosh .............................................................................................................................................. Murray .................................................................................................................................................. Muskogee ............................................................................................................................................ Noble ................................................................................................................................................... Nowata ................................................................................................................................................. Okfuskee .............................................................................................................................................. Oklahoma ............................................................................................................................................ Okmulgee ............................................................................................................................................ Osage .................................................................................................................................................. Ottawa ................................................................................................................................................. Pawnee ................................................................................................................................................ Payne ................................................................................................................................................... Pittsburg ............................................................................................................................................... Pontotoc ............................................................................................................................................... Pottawatomie ....................................................................................................................................... Pushmataha ......................................................................................................................................... Roger Mills ........................................................................................................................................... Rogers ................................................................................................................................................. Seminole .............................................................................................................................................. Sequoyah ............................................................................................................................................. Stephens .............................................................................................................................................. Texas ................................................................................................................................................... Tillman ................................................................................................................................................. Tulsa .................................................................................................................................................... Wagoner .............................................................................................................................................. Washington .......................................................................................................................................... Washita ................................................................................................................................................ Woods .................................................................................................................................................. VerDate Sep<11>2014 19:40 Jul 12, 2024 Jkt 262001 PO 00000 Frm 00092 Fmt 4701 Sfmt 4702 OK OK OK OK OK OK OK OK OK OK OK OK OK OK OK OK OK OK OK OK OK OK OK OK OK OK OK OK OK OK OK OK OK OK OK OK OK OK OK OK OK OK OK OK OK OK OK OK OK OK OK OK OK OK OK OK OK OK OK OK OK OK OK OK OK OK OK OK OK OK OK E:\FR\FM\15JYP3.SGM FIPS code 40011 40013 40015 40017 40019 40021 40023 40025 40027 40029 40031 40033 40035 40037 40039 40041 40043 40045 40047 40049 40051 40053 40055 40057 40059 40061 40063 40065 40067 40069 40071 40073 40075 40077 40079 40081 40083 40085 40093 40095 40097 40087 40089 40091 40099 40101 40103 40105 40107 40109 40111 40113 40115 40117 40119 40121 40123 40125 40127 40129 40131 40133 40135 40137 40139 40141 40143 40145 40147 40149 40151 15JYP3 Class I differential adjusted for location 2.90 3.60 2.90 2.90 3.30 3.30 3.60 2.50 3.30 3.60 2.90 3.30 3.20 3.30 2.60 3.20 2.60 2.60 2.90 3.30 3.30 2.90 2.60 2.60 2.60 3.60 3.30 2.90 3.30 3.60 2.90 2.90 2.90 3.60 3.60 3.30 3.30 3.30 2.60 3.60 3.20 3.30 3.60 3.30 3.30 3.30 3.20 3.20 3.30 3.30 3.30 3.20 3.20 3.20 3.30 3.60 3.30 3.30 3.60 2.60 3.20 3.30 3.30 3.30 2.50 2.90 3.30 3.30 3.20 2.60 2.60 Federal Register / Vol. 89, No. 135 / Monday, July 15, 2024 / Proposed Rules ddrumheller on DSK120RN23PROD with PROPOSALS3 County/parish/city State Woodward ............................................................................................................................................ Baker ................................................................................................................................................... Benton ................................................................................................................................................. Clackamas ........................................................................................................................................... Clatsop ................................................................................................................................................. Columbia .............................................................................................................................................. Coos .................................................................................................................................................... Crook ................................................................................................................................................... Curry .................................................................................................................................................... Deschutes ............................................................................................................................................ Douglas ................................................................................................................................................ Gilliam .................................................................................................................................................. Grant .................................................................................................................................................... Harney ................................................................................................................................................. Hood River ........................................................................................................................................... Jackson ................................................................................................................................................ Jefferson .............................................................................................................................................. Josephine ............................................................................................................................................ Klamath ................................................................................................................................................ Lake ..................................................................................................................................................... Lane ..................................................................................................................................................... Lincoln ................................................................................................................................................. Linn ...................................................................................................................................................... Malheur ................................................................................................................................................ Marion .................................................................................................................................................. Morrow ................................................................................................................................................. Multnomah ........................................................................................................................................... Polk ...................................................................................................................................................... Sherman .............................................................................................................................................. Tillamook ............................................................................................................................................. Umatilla ................................................................................................................................................ Union ................................................................................................................................................... Wallowa ............................................................................................................................................... Wasco .................................................................................................................................................. Washington .......................................................................................................................................... Wheeler ............................................................................................................................................... Yamhill ................................................................................................................................................. Adams .................................................................................................................................................. Allegheny ............................................................................................................................................. Armstrong ............................................................................................................................................ Beaver ................................................................................................................................................. Bedford ................................................................................................................................................ Berks .................................................................................................................................................... Blair ...................................................................................................................................................... Bradford ............................................................................................................................................... Bucks ................................................................................................................................................... Butler ................................................................................................................................................... Cambria ............................................................................................................................................... Cameron .............................................................................................................................................. Carbon ................................................................................................................................................. Centre .................................................................................................................................................. Chester ................................................................................................................................................ Clarion ................................................................................................................................................. Clearfield .............................................................................................................................................. Clinton .................................................................................................................................................. Columbia .............................................................................................................................................. Crawford .............................................................................................................................................. Cumberland ......................................................................................................................................... Dauphin ............................................................................................................................................... Delaware .............................................................................................................................................. Elk ........................................................................................................................................................ Erie ...................................................................................................................................................... Fayette ................................................................................................................................................. Forest ................................................................................................................................................... Franklin ................................................................................................................................................ Fulton ................................................................................................................................................... Greene ................................................................................................................................................. Huntingdon .......................................................................................................................................... Indiana ................................................................................................................................................. Jefferson .............................................................................................................................................. Juniata ................................................................................................................................................. VerDate Sep<11>2014 19:40 Jul 12, 2024 Jkt 262001 PO 00000 Frm 00093 Fmt 4701 Sfmt 4702 OK OR OR OR OR OR OR OR OR OR OR OR OR OR OR OR OR OR OR OR OR OR OR OR OR OR OR OR OR OR OR OR OR OR OR OR OR PA PA PA PA PA PA PA PA PA PA PA PA PA PA PA PA PA PA PA PA PA PA PA PA PA PA PA PA PA PA PA PA PA PA E:\FR\FM\15JYP3.SGM FIPS code 40153 41001 41003 41005 41007 41009 41011 41013 41015 41017 41019 41021 41023 41025 41027 41029 41031 41033 41035 41037 41039 41041 41043 41045 41047 41049 41051 41053 41055 41057 41059 41061 41063 41065 41067 41069 41071 42001 42003 42005 42007 42009 42011 42013 42015 42017 42019 42021 42023 42025 42027 42029 42031 42033 42035 42037 42039 42041 42043 42045 42047 42049 42051 42053 42055 42057 42059 42061 42063 42065 42067 15JYP3 57671 Class I differential adjusted for location 2.60 2.20 2.20 2.70 2.20 2.20 2.20 2.20 2.20 2.20 2.20 2.20 2.20 2.20 2.20 2.20 2.20 2.20 2.20 2.20 2.20 2.20 2.20 1.80 2.20 2.20 2.70 2.20 2.20 2.20 2.20 2.20 2.20 2.20 2.20 2.20 2.20 4.30 4.00 4.00 4.00 4.10 4.30 4.00 4.00 4.50 4.00 4.00 4.00 4.30 4.00 4.30 4.00 4.00 4.00 4.10 4.00 4.20 4.20 4.40 4.00 3.90 4.00 4.00 4.20 4.10 4.00 4.10 4.00 4.00 4.10 57672 Federal Register / Vol. 89, No. 135 / Monday, July 15, 2024 / Proposed Rules ddrumheller on DSK120RN23PROD with PROPOSALS3 County/parish/city State Lackawanna ......................................................................................................................................... Lancaster ............................................................................................................................................. Lawrence ............................................................................................................................................. Lebanon ............................................................................................................................................... Lehigh .................................................................................................................................................. Luzerne ................................................................................................................................................ Lycoming ............................................................................................................................................. McKean ................................................................................................................................................ Mercer .................................................................................................................................................. Mifflin ................................................................................................................................................... Monroe ................................................................................................................................................. Montgomery ......................................................................................................................................... Montour ................................................................................................................................................ Northampton ........................................................................................................................................ Northumberland ................................................................................................................................... Perry .................................................................................................................................................... Philadelphia ......................................................................................................................................... Pike ...................................................................................................................................................... Potter ................................................................................................................................................... Schuylkill .............................................................................................................................................. Snyder ................................................................................................................................................. Somerset ............................................................................................................................................. Sullivan ................................................................................................................................................ Susquehanna ....................................................................................................................................... Tioga .................................................................................................................................................... Union ................................................................................................................................................... Venango .............................................................................................................................................. Warren ................................................................................................................................................. Washington .......................................................................................................................................... Wayne .................................................................................................................................................. Westmoreland ...................................................................................................................................... Wyoming .............................................................................................................................................. York ..................................................................................................................................................... Bristol ................................................................................................................................................... Kent ..................................................................................................................................................... Newport ............................................................................................................................................... Providence ........................................................................................................................................... Washington .......................................................................................................................................... Abbeville .............................................................................................................................................. Aiken .................................................................................................................................................... Allendale .............................................................................................................................................. Anderson ............................................................................................................................................. Bamberg .............................................................................................................................................. Barnwell ............................................................................................................................................... Beaufort ............................................................................................................................................... Berkeley ............................................................................................................................................... Calhoun ............................................................................................................................................... Charleston ........................................................................................................................................... Cherokee ............................................................................................................................................. Chester ................................................................................................................................................ Chesterfield .......................................................................................................................................... Clarendon ............................................................................................................................................ Colleton ................................................................................................................................................ Darlington ............................................................................................................................................ Dillon .................................................................................................................................................... Dorchester ........................................................................................................................................... Edgefield .............................................................................................................................................. Fairfield ................................................................................................................................................ Florence ............................................................................................................................................... Georgetown ......................................................................................................................................... Greenville ............................................................................................................................................. Greenwood .......................................................................................................................................... Hampton .............................................................................................................................................. Horry .................................................................................................................................................... Jasper .................................................................................................................................................. Kershaw ............................................................................................................................................... Lancaster ............................................................................................................................................. Laurens ................................................................................................................................................ Lee ....................................................................................................................................................... Lexington ............................................................................................................................................. Marion .................................................................................................................................................. VerDate Sep<11>2014 19:40 Jul 12, 2024 Jkt 262001 PO 00000 Frm 00094 Fmt 4701 Sfmt 4702 PA PA PA PA PA PA PA PA PA PA PA PA PA PA PA PA PA PA PA PA PA PA PA PA PA PA PA PA PA PA PA PA PA RI RI RI RI RI SC SC SC SC SC SC SC SC SC SC SC SC SC SC SC SC SC SC SC SC SC SC SC SC SC SC SC SC SC SC SC SC SC E:\FR\FM\15JYP3.SGM FIPS code 42069 42071 42073 42075 42077 42079 42081 42083 42085 42087 42089 42091 42093 42095 42097 42099 42101 42103 42105 42107 42109 42111 42113 42115 42117 42119 42121 42123 42125 42127 42129 42131 42133 44001 44003 44005 44007 44009 45001 45003 45005 45007 45009 45011 45013 45015 45017 45019 45021 45023 45025 45027 45029 45031 45033 45035 45037 45039 45041 45043 45045 45047 45049 45051 45053 45055 45057 45059 45061 45063 45067 15JYP3 Class I differential adjusted for location 4.30 4.30 4.00 4.20 4.30 4.20 4.10 3.90 4.00 4.10 4.40 4.40 4.10 4.40 4.10 4.20 4.60 4.40 3.90 4.20 4.10 4.10 4.10 4.20 4.00 4.10 4.00 3.90 4.00 4.30 4.00 4.20 4.30 5.10 5.10 5.10 5.10 5.10 5.80 6.00 6.00 5.60 6.00 6.00 6.00 6.00 6.00 6.00 5.60 5.80 5.80 6.00 6.00 6.00 6.00 6.00 5.80 5.80 6.00 6.00 5.60 5.80 6.00 6.00 6.00 6.00 5.80 5.80 6.00 6.00 6.00 Federal Register / Vol. 89, No. 135 / Monday, July 15, 2024 / Proposed Rules ddrumheller on DSK120RN23PROD with PROPOSALS3 County/parish/city State Marlboro ............................................................................................................................................... McCormick ........................................................................................................................................... Newberry ............................................................................................................................................. Oconee ................................................................................................................................................ Orangeburg .......................................................................................................................................... Pickens ................................................................................................................................................ Richland ............................................................................................................................................... Saluda .................................................................................................................................................. Spartanburg ......................................................................................................................................... Sumter ................................................................................................................................................. Union ................................................................................................................................................... Williamsburg ........................................................................................................................................ York ..................................................................................................................................................... Aurora .................................................................................................................................................. Beadle .................................................................................................................................................. Bennett ................................................................................................................................................ Bon Homme ......................................................................................................................................... Brookings ............................................................................................................................................. Brown ................................................................................................................................................... Brule .................................................................................................................................................... Buffalo .................................................................................................................................................. Butte .................................................................................................................................................... Campbell .............................................................................................................................................. Charles Mix .......................................................................................................................................... Clark .................................................................................................................................................... Clay ...................................................................................................................................................... Codington ............................................................................................................................................ Corson ................................................................................................................................................. Custer .................................................................................................................................................. Davison ................................................................................................................................................ Day ...................................................................................................................................................... Deuel ................................................................................................................................................... Dewey .................................................................................................................................................. Douglas ................................................................................................................................................ Edmunds .............................................................................................................................................. Fall River ............................................................................................................................................. Faulk .................................................................................................................................................... Grant .................................................................................................................................................... Gregory ................................................................................................................................................ Haakon ................................................................................................................................................ Hamlin .................................................................................................................................................. Hand .................................................................................................................................................... Hanson ................................................................................................................................................ Harding ................................................................................................................................................ Hughes ................................................................................................................................................ Hutchinson ........................................................................................................................................... Hyde .................................................................................................................................................... Jackson ................................................................................................................................................ Jerauld ................................................................................................................................................. Jones ................................................................................................................................................... Kingsbury ............................................................................................................................................. Lake ..................................................................................................................................................... Lawrence ............................................................................................................................................. Lincoln ................................................................................................................................................. Lyman .................................................................................................................................................. Marshall ............................................................................................................................................... McCook ................................................................................................................................................ McPherson ........................................................................................................................................... Meade .................................................................................................................................................. Mellette ................................................................................................................................................ Miner .................................................................................................................................................... Minnehaha ........................................................................................................................................... Moody .................................................................................................................................................. Oglala Lakota ...................................................................................................................................... Pennington ........................................................................................................................................... Perkins ................................................................................................................................................. Potter ................................................................................................................................................... Roberts ................................................................................................................................................ Sanborn ............................................................................................................................................... Spink .................................................................................................................................................... Stanley ................................................................................................................................................. VerDate Sep<11>2014 19:40 Jul 12, 2024 Jkt 262001 PO 00000 Frm 00095 Fmt 4701 Sfmt 4702 SC SC SC SC SC SC SC SC SC SC SC SC SC SD SD SD SD SD SD SD SD SD SD SD SD SD SD SD SD SD SD SD SD SD SD SD SD SD SD SD SD SD SD SD SD SD SD SD SD SD SD SD SD SD SD SD SD SD SD SD SD SD SD SD SD SD SD SD SD SD SD E:\FR\FM\15JYP3.SGM FIPS code 45069 45065 45071 45073 45075 45077 45079 45081 45083 45085 45087 45089 45091 46003 46005 46007 46009 46011 46013 46015 46017 46019 46021 46023 46025 46027 46029 46031 46033 46035 46037 46039 46041 46043 46045 46047 46049 46051 46053 46055 46057 46059 46061 46063 46065 46067 46069 46071 46073 46075 46077 46079 46081 46083 46085 46091 46087 46089 46093 46095 46097 46099 46101 46102 46103 46105 46107 46109 46111 46115 46117 15JYP3 57673 Class I differential adjusted for location 5.80 5.80 5.80 5.60 6.00 5.60 6.00 5.80 5.60 6.00 5.80 6.00 5.60 2.60 2.60 2.40 2.60 2.60 2.60 2.50 2.50 2.40 2.50 2.50 2.60 2.60 2.60 2.40 2.40 2.60 2.60 2.60 2.40 2.60 2.50 2.40 2.50 2.60 2.50 2.40 2.60 2.50 2.60 2.40 2.50 2.60 2.50 2.40 2.60 2.40 2.60 2.60 2.40 2.60 2.50 2.60 2.60 2.50 2.40 2.40 2.60 2.60 2.60 2.40 2.40 2.40 2.50 2.60 2.60 2.60 2.40 57674 Federal Register / Vol. 89, No. 135 / Monday, July 15, 2024 / Proposed Rules ddrumheller on DSK120RN23PROD with PROPOSALS3 County/parish/city State Sully ..................................................................................................................................................... Todd ..................................................................................................................................................... Tripp ..................................................................................................................................................... Turner .................................................................................................................................................. Union ................................................................................................................................................... Walworth .............................................................................................................................................. Yankton ................................................................................................................................................ Ziebach ................................................................................................................................................ Anderson ............................................................................................................................................. Bedford ................................................................................................................................................ Benton ................................................................................................................................................. Bledsoe ................................................................................................................................................ Blount ................................................................................................................................................... Bradley ................................................................................................................................................. Campbell .............................................................................................................................................. Cannon ................................................................................................................................................ Carroll .................................................................................................................................................. Carter ................................................................................................................................................... Cheatham ............................................................................................................................................ Chester ................................................................................................................................................ Claiborne ............................................................................................................................................. Clay ...................................................................................................................................................... Cocke ................................................................................................................................................... Coffee .................................................................................................................................................. Crockett ............................................................................................................................................... Cumberland ......................................................................................................................................... Davidson .............................................................................................................................................. Decatur ................................................................................................................................................ DeKalb ................................................................................................................................................. Dickson ................................................................................................................................................ Dyer ..................................................................................................................................................... Fayette ................................................................................................................................................. Fentress ............................................................................................................................................... Franklin ................................................................................................................................................ Gibson ................................................................................................................................................. Giles ..................................................................................................................................................... Grainger ............................................................................................................................................... Greene ................................................................................................................................................. Grundy ................................................................................................................................................. Hamblen .............................................................................................................................................. Hamilton ............................................................................................................................................... Hancock ............................................................................................................................................... Hardeman ............................................................................................................................................ Hardin .................................................................................................................................................. Hawkins ............................................................................................................................................... Haywood .............................................................................................................................................. Henderson ........................................................................................................................................... Henry ................................................................................................................................................... Hickman ............................................................................................................................................... Houston ............................................................................................................................................... Humphreys .......................................................................................................................................... Jackson ................................................................................................................................................ Jefferson .............................................................................................................................................. Johnson ............................................................................................................................................... Knox ..................................................................................................................................................... Lake ..................................................................................................................................................... Lauderdale ........................................................................................................................................... Lawrence ............................................................................................................................................. Lewis .................................................................................................................................................... Lincoln ................................................................................................................................................. Loudon ................................................................................................................................................. Macon .................................................................................................................................................. Madison ............................................................................................................................................... Marion .................................................................................................................................................. Marshall ............................................................................................................................................... Maury ................................................................................................................................................... McMinn ................................................................................................................................................ McNairy ................................................................................................................................................ Meigs ................................................................................................................................................... Monroe ................................................................................................................................................. Montgomery ......................................................................................................................................... VerDate Sep<11>2014 19:40 Jul 12, 2024 Jkt 262001 PO 00000 Frm 00096 Fmt 4701 Sfmt 4702 SD SD SD SD SD SD SD SD TN TN TN TN TN TN TN TN TN TN TN TN TN TN TN TN TN TN TN TN TN TN TN TN TN TN TN TN TN TN TN TN TN TN TN TN TN TN TN TN TN TN TN TN TN TN TN TN TN TN TN TN TN TN TN TN TN TN TN TN TN TN TN E:\FR\FM\15JYP3.SGM FIPS code 46119 46121 46123 46125 46127 46129 46135 46137 47001 47003 47005 47007 47009 47011 47013 47015 47017 47019 47021 47023 47025 47027 47029 47031 47033 47035 47037 47039 47041 47043 47045 47047 47049 47051 47053 47055 47057 47059 47061 47063 47065 47067 47069 47071 47073 47075 47077 47079 47081 47083 47085 47087 47089 47091 47093 47095 47097 47099 47101 47103 47105 47111 47113 47115 47117 47119 47107 47109 47121 47123 47125 15JYP3 Class I differential adjusted for location 2.50 2.40 2.50 2.60 2.60 2.50 2.60 2.40 4.90 4.90 4.60 4.90 5.20 5.20 4.90 4.90 4.60 5.20 4.60 4.60 4.90 4.60 5.20 4.90 4.30 4.90 4.60 4.60 4.90 4.60 4.30 4.60 4.60 5.20 4.30 4.90 4.90 5.20 4.90 5.20 5.20 4.90 4.60 4.90 5.20 4.60 4.60 4.30 4.60 4.60 4.60 4.60 5.20 5.20 4.90 4.30 4.30 4.90 4.90 5.20 5.20 4.60 4.60 5.20 4.90 4.90 5.20 4.90 5.20 5.20 4.30 Federal Register / Vol. 89, No. 135 / Monday, July 15, 2024 / Proposed Rules ddrumheller on DSK120RN23PROD with PROPOSALS3 County/parish/city State Moore ................................................................................................................................................... Morgan ................................................................................................................................................. Obion ................................................................................................................................................... Overton ................................................................................................................................................ Perry .................................................................................................................................................... Pickett .................................................................................................................................................. Polk ...................................................................................................................................................... Putnam ................................................................................................................................................ Rhea .................................................................................................................................................... Roane .................................................................................................................................................. Robertson ............................................................................................................................................ Rutherford ............................................................................................................................................ Scott ..................................................................................................................................................... Sequatchie ........................................................................................................................................... Sevier ................................................................................................................................................... Shelby .................................................................................................................................................. Smith .................................................................................................................................................... Stewart ................................................................................................................................................. Sullivan ................................................................................................................................................ Sumner ................................................................................................................................................ Tipton ................................................................................................................................................... Trousdale ............................................................................................................................................. Unicoi ................................................................................................................................................... Union ................................................................................................................................................... Van Buren ............................................................................................................................................ Warren ................................................................................................................................................. Washington .......................................................................................................................................... Wayne .................................................................................................................................................. Weakley ............................................................................................................................................... White .................................................................................................................................................... Williamson ........................................................................................................................................... Wilson .................................................................................................................................................. Anderson ............................................................................................................................................. Andrews ............................................................................................................................................... Angelina ............................................................................................................................................... Aransas ................................................................................................................................................ Archer .................................................................................................................................................. Armstrong ............................................................................................................................................ Atascosa .............................................................................................................................................. Austin ................................................................................................................................................... Bailey ................................................................................................................................................... Bandera ............................................................................................................................................... Bastrop ................................................................................................................................................ Baylor ................................................................................................................................................... Bee ...................................................................................................................................................... Bell ....................................................................................................................................................... Bexar ................................................................................................................................................... Blanco .................................................................................................................................................. Borden ................................................................................................................................................. Bosque ................................................................................................................................................. Bowie ................................................................................................................................................... Brazoria ............................................................................................................................................... Brazos .................................................................................................................................................. Brewster ............................................................................................................................................... Briscoe ................................................................................................................................................. Brooks .................................................................................................................................................. Brown ................................................................................................................................................... Burleson ............................................................................................................................................... Burnet .................................................................................................................................................. Caldwell ............................................................................................................................................... Calhoun ............................................................................................................................................... Callahan ............................................................................................................................................... Cameron .............................................................................................................................................. Camp ................................................................................................................................................... Carson ................................................................................................................................................. Cass ..................................................................................................................................................... Castro .................................................................................................................................................. Chambers ............................................................................................................................................ Cherokee ............................................................................................................................................. Childress .............................................................................................................................................. Clay ...................................................................................................................................................... VerDate Sep<11>2014 19:40 Jul 12, 2024 Jkt 262001 PO 00000 Frm 00097 Fmt 4701 Sfmt 4702 TN TN TN TN TN TN TN TN TN TN TN TN TN TN TN TN TN TN TN TN TN TN TN TN TN TN TN TN TN TN TN TN TX TX TX TX TX TX TX TX TX TX TX TX TX TX TX TX TX TX TX TX TX TX TX TX TX TX TX TX TX TX TX TX TX TX TX TX TX TX TX E:\FR\FM\15JYP3.SGM FIPS code 47127 47129 47131 47133 47135 47137 47139 47141 47143 47145 47147 47149 47151 47153 47155 47157 47159 47161 47163 47165 47167 47169 47171 47173 47175 47177 47179 47181 47183 47185 47187 47189 48001 48003 48005 48007 48009 48011 48013 48015 48017 48019 48021 48023 48025 48027 48029 48031 48033 48035 48037 48039 48041 48043 48045 48047 48049 48051 48053 48055 48057 48059 48061 48063 48065 48067 48069 48071 48073 48075 48077 15JYP3 57675 Class I differential adjusted for location 4.90 4.90 4.30 4.60 4.60 4.60 5.40 4.60 4.90 4.90 4.60 4.60 4.90 5.20 5.20 4.60 4.60 4.30 5.20 4.60 4.60 4.60 5.40 4.90 4.90 4.90 5.20 4.90 4.30 4.90 4.60 4.60 4.00 2.90 4.60 4.60 3.30 2.50 4.30 4.30 2.50 4.00 4.30 2.90 4.60 4.00 4.30 4.00 2.90 3.60 4.00 4.80 4.30 3.30 2.50 4.60 3.60 4.30 4.00 4.30 4.60 3.30 4.60 3.70 2.50 4.00 2.50 4.80 4.00 2.60 3.30 57676 Federal Register / Vol. 89, No. 135 / Monday, July 15, 2024 / Proposed Rules ddrumheller on DSK120RN23PROD with PROPOSALS3 County/parish/city State Cochran ............................................................................................................................................... Coke .................................................................................................................................................... Coleman .............................................................................................................................................. Collin .................................................................................................................................................... Collingsworth ....................................................................................................................................... Colorado .............................................................................................................................................. Comal .................................................................................................................................................. Comanche ........................................................................................................................................... Concho ................................................................................................................................................ Cooke .................................................................................................................................................. Coryell .................................................................................................................................................. Cottle ................................................................................................................................................... Crane ................................................................................................................................................... Crockett ............................................................................................................................................... Crosby ................................................................................................................................................. Culberson ............................................................................................................................................ Dallam .................................................................................................................................................. Dallas ................................................................................................................................................... Dawson ................................................................................................................................................ Deaf Smith ........................................................................................................................................... Delta .................................................................................................................................................... Denton ................................................................................................................................................. DeWitt .................................................................................................................................................. Dickens ................................................................................................................................................ Dimmit .................................................................................................................................................. Donley .................................................................................................................................................. Duval .................................................................................................................................................... Eastland ............................................................................................................................................... Ector .................................................................................................................................................... Edwards ............................................................................................................................................... El Paso ................................................................................................................................................ Ellis ...................................................................................................................................................... Erath .................................................................................................................................................... Falls ..................................................................................................................................................... Fannin .................................................................................................................................................. Fayette ................................................................................................................................................. Fisher ................................................................................................................................................... Floyd .................................................................................................................................................... Foard ................................................................................................................................................... Fort Bend ............................................................................................................................................. Franklin ................................................................................................................................................ Freestone ............................................................................................................................................. Frio ....................................................................................................................................................... Gaines ................................................................................................................................................. Galveston ............................................................................................................................................. Garza ................................................................................................................................................... Gillespie ............................................................................................................................................... Glasscock ............................................................................................................................................ Goliad .................................................................................................................................................. Gonzales .............................................................................................................................................. Gray ..................................................................................................................................................... Grayson ............................................................................................................................................... Gregg ................................................................................................................................................... Grimes ................................................................................................................................................. Guadalupe ........................................................................................................................................... Hale ..................................................................................................................................................... Hall ....................................................................................................................................................... Hamilton ............................................................................................................................................... Hansford .............................................................................................................................................. Hardeman ............................................................................................................................................ Hardin .................................................................................................................................................. Harris ................................................................................................................................................... Harrison ............................................................................................................................................... Hartley ................................................................................................................................................. Haskell ................................................................................................................................................. Hays ..................................................................................................................................................... Hemphill ............................................................................................................................................... Henderson ........................................................................................................................................... Hidalgo ................................................................................................................................................. Hill ........................................................................................................................................................ Hockley ................................................................................................................................................ VerDate Sep<11>2014 19:40 Jul 12, 2024 Jkt 262001 PO 00000 Frm 00098 Fmt 4701 Sfmt 4702 TX TX TX TX TX TX TX TX TX TX TX TX TX TX TX TX TX TX TX TX TX TX TX TX TX TX TX TX TX TX TX TX TX TX TX TX TX TX TX TX TX TX TX TX TX TX TX TX TX TX TX TX TX TX TX TX TX TX TX TX TX TX TX TX TX TX TX TX TX TX TX E:\FR\FM\15JYP3.SGM FIPS code 48079 48081 48083 48085 48087 48089 48091 48093 48095 48097 48099 48101 48103 48105 48107 48109 48111 48113 48115 48117 48119 48121 48123 48125 48127 48129 48131 48133 48135 48137 48141 48139 48143 48145 48147 48149 48151 48153 48155 48157 48159 48161 48163 48165 48167 48169 48171 48173 48175 48177 48179 48181 48183 48185 48187 48189 48191 48193 48195 48197 48199 48201 48203 48205 48207 48209 48211 48213 48215 48217 48219 15JYP3 Class I differential adjusted for location 2.50 3.30 3.60 3.70 2.60 4.30 4.00 3.60 3.60 3.30 4.00 2.60 2.90 3.30 2.60 2.90 2.50 3.70 2.90 2.50 3.70 3.70 4.30 2.60 4.00 2.50 4.60 3.60 2.90 3.60 2.70 3.70 3.60 4.00 3.70 4.30 2.90 2.60 2.90 4.60 3.70 4.00 4.30 2.60 4.80 2.90 4.00 3.30 4.60 4.30 2.50 3.70 4.00 4.60 4.30 2.50 2.50 3.60 2.50 2.90 4.80 4.80 4.00 2.50 2.90 4.00 2.60 3.70 4.60 3.70 2.60 Federal Register / Vol. 89, No. 135 / Monday, July 15, 2024 / Proposed Rules ddrumheller on DSK120RN23PROD with PROPOSALS3 County/parish/city State Hood .................................................................................................................................................... Hopkins ................................................................................................................................................ Houston ............................................................................................................................................... Howard ................................................................................................................................................ Hudspeth ............................................................................................................................................. Hunt ..................................................................................................................................................... Hutchinson ........................................................................................................................................... Irion ...................................................................................................................................................... Jack ..................................................................................................................................................... Jackson ................................................................................................................................................ Jasper .................................................................................................................................................. Jeff Davis ............................................................................................................................................. Jefferson .............................................................................................................................................. Jim Hogg ............................................................................................................................................. Jim Wells ............................................................................................................................................. Johnson ............................................................................................................................................... Jones ................................................................................................................................................... Karnes ................................................................................................................................................. Kaufman .............................................................................................................................................. Kendall ................................................................................................................................................. Kenedy ................................................................................................................................................. Kent ..................................................................................................................................................... Kerr ...................................................................................................................................................... Kimble .................................................................................................................................................. King ...................................................................................................................................................... Kinney .................................................................................................................................................. Kleberg ................................................................................................................................................ Knox ..................................................................................................................................................... La Salle ................................................................................................................................................ Lamar ................................................................................................................................................... Lamb .................................................................................................................................................... Lampasas ............................................................................................................................................ Lavaca ................................................................................................................................................. Lee ....................................................................................................................................................... Leon ..................................................................................................................................................... Liberty .................................................................................................................................................. Limestone ............................................................................................................................................ Lipscomb ............................................................................................................................................. Live Oak .............................................................................................................................................. Llano .................................................................................................................................................... Loving .................................................................................................................................................. Lubbock ............................................................................................................................................... Lynn ..................................................................................................................................................... Madison ............................................................................................................................................... Marion .................................................................................................................................................. Martin ................................................................................................................................................... Mason .................................................................................................................................................. Matagorda ............................................................................................................................................ Maverick .............................................................................................................................................. McCulloch ............................................................................................................................................ McLennan ............................................................................................................................................ McMullen ............................................................................................................................................. Medina ................................................................................................................................................. Menard ................................................................................................................................................. Midland ................................................................................................................................................ Milam ................................................................................................................................................... Mills ...................................................................................................................................................... Mitchell ................................................................................................................................................. Montague ............................................................................................................................................. Montgomery ......................................................................................................................................... Moore ................................................................................................................................................... Morris ................................................................................................................................................... Motley .................................................................................................................................................. Nacogdoches ....................................................................................................................................... Navarro ................................................................................................................................................ Newton ................................................................................................................................................. Nolan ................................................................................................................................................... Nueces ................................................................................................................................................. Ochiltree .............................................................................................................................................. Oldham ................................................................................................................................................ Orange ................................................................................................................................................. VerDate Sep<11>2014 19:40 Jul 12, 2024 Jkt 262001 PO 00000 Frm 00099 Fmt 4701 Sfmt 4702 TX TX TX TX TX TX TX TX TX TX TX TX TX TX TX TX TX TX TX TX TX TX TX TX TX TX TX TX TX TX TX TX TX TX TX TX TX TX TX TX TX TX TX TX TX TX TX TX TX TX TX TX TX TX TX TX TX TX TX TX TX TX TX TX TX TX TX TX TX TX TX E:\FR\FM\15JYP3.SGM FIPS code 48221 48223 48225 48227 48229 48231 48233 48235 48237 48239 48241 48243 48245 48247 48249 48251 48253 48255 48257 48259 48261 48263 48265 48267 48269 48271 48273 48275 48283 48277 48279 48281 48285 48287 48289 48291 48293 48295 48297 48299 48301 48303 48305 48313 48315 48317 48319 48321 48323 48307 48309 48311 48325 48327 48329 48331 48333 48335 48337 48339 48341 48343 48345 48347 48349 48351 48353 48355 48357 48359 48361 15JYP3 57677 Class I differential adjusted for location 3.70 3.70 4.00 2.90 2.70 3.70 2.50 3.30 3.30 4.60 4.80 2.90 4.80 4.60 4.60 3.70 3.30 4.30 3.70 4.00 4.60 2.90 4.00 3.60 2.90 4.00 4.60 2.90 4.30 3.70 2.50 4.00 4.30 4.30 4.00 4.80 4.00 2.60 4.30 4.00 2.90 2.60 2.90 4.00 4.00 2.90 3.60 4.80 4.00 3.60 4.00 4.30 4.00 3.60 2.90 4.00 3.60 3.30 3.30 4.80 2.50 3.70 2.60 4.00 3.70 4.80 3.30 4.60 2.50 2.50 4.80 57678 Federal Register / Vol. 89, No. 135 / Monday, July 15, 2024 / Proposed Rules ddrumheller on DSK120RN23PROD with PROPOSALS3 County/parish/city State Palo Pinto ............................................................................................................................................ Panola .................................................................................................................................................. Parker .................................................................................................................................................. Parmer ................................................................................................................................................. Pecos ................................................................................................................................................... Polk ...................................................................................................................................................... Potter ................................................................................................................................................... Presidio ................................................................................................................................................ Rains .................................................................................................................................................... Randall ................................................................................................................................................. Reagan ................................................................................................................................................ Real ..................................................................................................................................................... Red River ............................................................................................................................................. Reeves ................................................................................................................................................. Refugio ................................................................................................................................................ Roberts ................................................................................................................................................ Robertson ............................................................................................................................................ Rockwall .............................................................................................................................................. Runnels ................................................................................................................................................ Rusk ..................................................................................................................................................... Sabine .................................................................................................................................................. San Augustine ..................................................................................................................................... San Jacinto .......................................................................................................................................... San Patricio ......................................................................................................................................... San Saba ............................................................................................................................................. Schleicher ............................................................................................................................................ Scurry .................................................................................................................................................. Shackelford .......................................................................................................................................... Shelby .................................................................................................................................................. Sherman .............................................................................................................................................. Smith .................................................................................................................................................... Somervell ............................................................................................................................................. Starr ..................................................................................................................................................... Stephens .............................................................................................................................................. Sterling ................................................................................................................................................. Stonewall ............................................................................................................................................. Sutton .................................................................................................................................................. Swisher ................................................................................................................................................ Tarrant ................................................................................................................................................. Taylor ................................................................................................................................................... Terrell ................................................................................................................................................... Terry .................................................................................................................................................... Throckmorton ....................................................................................................................................... Titus ..................................................................................................................................................... Tom Green .......................................................................................................................................... Travis ................................................................................................................................................... Trinity ................................................................................................................................................... Tyler ..................................................................................................................................................... Upshur ................................................................................................................................................. Upton ................................................................................................................................................... Uvalde .................................................................................................................................................. Val Verde ............................................................................................................................................. Van Zandt ............................................................................................................................................ Victoria ................................................................................................................................................. Walker .................................................................................................................................................. Waller ................................................................................................................................................... Ward .................................................................................................................................................... Washington .......................................................................................................................................... Webb ................................................................................................................................................... Wharton ............................................................................................................................................... Wheeler ............................................................................................................................................... Wichita ................................................................................................................................................. Wilbarger ............................................................................................................................................. Willacy ................................................................................................................................................. Williamson ........................................................................................................................................... Wilson .................................................................................................................................................. Winkler ................................................................................................................................................. Wise ..................................................................................................................................................... Wood ................................................................................................................................................... Yoakum ................................................................................................................................................ Young .................................................................................................................................................. VerDate Sep<11>2014 19:40 Jul 12, 2024 Jkt 262001 PO 00000 Frm 00100 Fmt 4701 Sfmt 4702 TX TX TX TX TX TX TX TX TX TX TX TX TX TX TX TX TX TX TX TX TX TX TX TX TX TX TX TX TX TX TX TX TX TX TX TX TX TX TX TX TX TX TX TX TX TX TX TX TX TX TX TX TX TX TX TX TX TX TX TX TX TX TX TX TX TX TX TX TX TX TX E:\FR\FM\15JYP3.SGM FIPS code 48363 48365 48367 48369 48371 48373 48375 48377 48379 48381 48383 48385 48387 48389 48391 48393 48395 48397 48399 48401 48403 48405 48407 48409 48411 48413 48415 48417 48419 48421 48423 48425 48427 48429 48431 48433 48435 48437 48439 48441 48443 48445 48447 48449 48451 48453 48455 48457 48459 48461 48463 48465 48467 48469 48471 48473 48475 48477 48479 48481 48483 48485 48487 48489 48491 48493 48495 48497 48499 48501 48503 15JYP3 Class I differential adjusted for location 3.30 4.00 3.70 2.50 3.30 4.60 2.50 2.90 3.70 2.50 3.30 4.00 3.70 2.90 4.60 2.50 4.00 3.70 3.30 4.00 4.60 4.60 4.60 4.60 3.60 3.60 2.90 3.30 4.60 2.50 3.70 3.70 4.60 3.30 3.30 2.90 3.60 2.50 3.70 3.30 3.30 2.60 3.30 3.70 3.30 4.00 4.60 4.80 3.70 3.30 4.00 3.60 3.70 4.60 4.60 4.60 2.90 4.30 4.30 4.60 2.60 2.90 2.90 4.60 4.00 4.30 2.90 3.30 3.70 2.60 3.30 Federal Register / Vol. 89, No. 135 / Monday, July 15, 2024 / Proposed Rules ddrumheller on DSK120RN23PROD with PROPOSALS3 County/parish/city State Zapata .................................................................................................................................................. Zavala .................................................................................................................................................. Beaver ................................................................................................................................................. Box Elder ............................................................................................................................................. Cache .................................................................................................................................................. Carbon ................................................................................................................................................. Daggett ................................................................................................................................................ Davis .................................................................................................................................................... Duchesne ............................................................................................................................................. Emery .................................................................................................................................................. Garfield ................................................................................................................................................ Grand ................................................................................................................................................... Iron ....................................................................................................................................................... Juab ..................................................................................................................................................... Kane .................................................................................................................................................... Millard .................................................................................................................................................. Morgan ................................................................................................................................................. Piute ..................................................................................................................................................... Rich ...................................................................................................................................................... Salt Lake .............................................................................................................................................. San Juan ............................................................................................................................................. Sanpete ............................................................................................................................................... Sevier ................................................................................................................................................... Summit ................................................................................................................................................. Tooele .................................................................................................................................................. Uintah .................................................................................................................................................. Utah ..................................................................................................................................................... Wasatch ............................................................................................................................................... Washington .......................................................................................................................................... Wayne .................................................................................................................................................. Weber .................................................................................................................................................. Accomack ............................................................................................................................................ Albemarle ............................................................................................................................................. Alexandria City .................................................................................................................................... Alleghany ............................................................................................................................................. Amelia .................................................................................................................................................. Amherst ............................................................................................................................................... Appomattox .......................................................................................................................................... Arlington ............................................................................................................................................... Augusta ................................................................................................................................................ Bath ..................................................................................................................................................... Bedford ................................................................................................................................................ Bland .................................................................................................................................................... Botetourt .............................................................................................................................................. Bristol City ........................................................................................................................................... Brunswick ............................................................................................................................................ Buchanan ............................................................................................................................................. Buckingham ......................................................................................................................................... Buena Vista City .................................................................................................................................. Campbell .............................................................................................................................................. Caroline ............................................................................................................................................... Carroll .................................................................................................................................................. Charles City ......................................................................................................................................... Charlotte .............................................................................................................................................. Charlottesville ...................................................................................................................................... Chesapeake City ................................................................................................................................. Chesterfield .......................................................................................................................................... Clarke .................................................................................................................................................. Colonial Heights .................................................................................................................................. Covington ............................................................................................................................................. Craig .................................................................................................................................................... Culpeper .............................................................................................................................................. Cumberland ......................................................................................................................................... Danville City ......................................................................................................................................... Dickenson ............................................................................................................................................ Dinwiddie ............................................................................................................................................. Emporia ............................................................................................................................................... Essex ................................................................................................................................................... Fairfax .................................................................................................................................................. Fairfax City .......................................................................................................................................... Falls Church City ................................................................................................................................. VerDate Sep<11>2014 19:40 Jul 12, 2024 Jkt 262001 PO 00000 Frm 00101 Fmt 4701 Sfmt 4702 TX TX UT UT UT UT UT UT UT UT UT UT UT UT UT UT UT UT UT UT UT UT UT UT UT UT UT UT UT UT UT VA VA VA VA VA VA VA VA VA VA VA VA VA VA VA VA VA VA VA VA VA VA VA VA VA VA VA VA VA VA VA VA VA VA VA VA VA VA VA VA E:\FR\FM\15JYP3.SGM FIPS code 48505 48507 49001 49003 49005 49007 49009 49011 49013 49015 49017 49019 49021 49023 49025 49027 49029 49031 49033 49035 49037 49039 49041 49043 49045 49047 49049 49051 49053 49055 49057 51001 51003 51510 51005 51007 51009 51011 51013 51015 51017 51019 51021 51023 51520 51025 51027 51029 51530 51031 51033 51035 51036 51037 51540 51550 51041 51043 51570 51580 51045 51047 51049 51590 51051 51053 51595 51057 51059 51600 51610 15JYP3 57679 Class I differential adjusted for location 4.30 4.00 2.40 2.00 2.20 2.20 2.30 2.20 2.20 2.30 2.30 2.30 2.40 2.20 2.40 2.30 2.20 2.30 2.20 2.20 2.30 2.20 2.30 2.20 2.20 2.30 2.20 2.20 2.50 2.30 2.20 4.80 4.50 4.50 4.50 4.80 4.50 4.80 4.60 4.30 4.50 4.80 4.80 4.80 5.20 5.20 4.80 4.80 4.50 4.80 4.80 5.20 5.20 4.80 4.50 5.20 4.80 4.30 4.80 4.50 4.80 4.50 4.80 5.20 4.80 5.20 5.20 4.80 4.60 4.50 4.50 57680 Federal Register / Vol. 89, No. 135 / Monday, July 15, 2024 / Proposed Rules ddrumheller on DSK120RN23PROD with PROPOSALS3 County/parish/city State Fauquier ............................................................................................................................................... Floyd .................................................................................................................................................... Fluvanna .............................................................................................................................................. Franklin City ......................................................................................................................................... Franklin County ................................................................................................................................... Frederick .............................................................................................................................................. Fredericksburg City ............................................................................................................................. Galax City ............................................................................................................................................ Giles ..................................................................................................................................................... Gloucester ........................................................................................................................................... Goochland ........................................................................................................................................... Grayson ............................................................................................................................................... Greene ................................................................................................................................................. Greensville ........................................................................................................................................... Halifax .................................................................................................................................................. Hampton City ....................................................................................................................................... Hanover ............................................................................................................................................... Harrisonburg ........................................................................................................................................ Henrico ................................................................................................................................................ Henry ................................................................................................................................................... Highland ............................................................................................................................................... Hopewell .............................................................................................................................................. Isle of Wight ......................................................................................................................................... James City ........................................................................................................................................... King and Queen .................................................................................................................................. King George ........................................................................................................................................ King William ......................................................................................................................................... Lancaster ............................................................................................................................................. Lee ....................................................................................................................................................... Lexington ............................................................................................................................................. Loudoun ............................................................................................................................................... Louisa .................................................................................................................................................. Lunenburg ............................................................................................................................................ Lynchburg City ..................................................................................................................................... Madison ............................................................................................................................................... Manassas ............................................................................................................................................ Manassas Park .................................................................................................................................... Martinsville City ................................................................................................................................... Mathews .............................................................................................................................................. Mecklenburg ........................................................................................................................................ Middlesex ............................................................................................................................................. Montgomery ......................................................................................................................................... Nelson .................................................................................................................................................. New Kent ............................................................................................................................................. Newport News City .............................................................................................................................. Norfolk City .......................................................................................................................................... Northampton ........................................................................................................................................ Northumberland ................................................................................................................................... Norton City ........................................................................................................................................... Nottoway .............................................................................................................................................. Orange ................................................................................................................................................. Page .................................................................................................................................................... Patrick .................................................................................................................................................. Petersburg City .................................................................................................................................... Pittsylvania ........................................................................................................................................... Poquoson City ..................................................................................................................................... Portsmouth City ................................................................................................................................... Powhatan ............................................................................................................................................. Prince Edward ..................................................................................................................................... Prince George ..................................................................................................................................... Prince William ...................................................................................................................................... Pulaski ................................................................................................................................................. Radford City ......................................................................................................................................... Rappahannock ..................................................................................................................................... Richmond City ..................................................................................................................................... Richmond County ................................................................................................................................ Roanoke .............................................................................................................................................. Roanoke City ....................................................................................................................................... Rockbridge ........................................................................................................................................... Rockingham ......................................................................................................................................... Russell ................................................................................................................................................. VerDate Sep<11>2014 19:40 Jul 12, 2024 Jkt 262001 PO 00000 Frm 00102 Fmt 4701 Sfmt 4702 VA VA VA VA VA VA VA VA VA VA VA VA VA VA VA VA VA VA VA VA VA VA VA VA VA VA VA VA VA VA VA VA VA VA VA VA VA VA VA VA VA VA VA VA VA VA VA VA VA VA VA VA VA VA VA VA VA VA VA VA VA VA VA VA VA VA VA VA VA VA VA E:\FR\FM\15JYP3.SGM FIPS code 51061 51063 51065 51620 51067 51069 51630 51640 51071 51073 51075 51077 51079 51081 51083 51650 51085 51660 51087 51089 51091 51670 51093 51095 51097 51099 51101 51103 51105 51678 51107 51109 51111 51680 51113 51683 51685 51690 51115 51117 51119 51121 51125 51127 51700 51710 51131 51133 51720 51135 51137 51139 51141 51730 51143 51735 51740 51145 51147 51149 51153 51155 51750 51157 51760 51159 51161 51770 51163 51165 51167 15JYP3 Class I differential adjusted for location 4.50 5.20 4.50 5.20 4.80 4.30 4.50 5.20 4.80 5.20 4.80 5.20 4.50 5.20 5.20 5.20 4.80 4.30 4.80 5.20 4.30 5.20 5.20 5.20 4.80 4.80 4.80 5.20 4.80 4.50 4.40 4.50 5.20 4.80 4.50 4.50 4.50 5.20 5.20 5.20 5.20 4.80 4.50 5.20 5.20 5.20 4.80 4.80 4.80 4.80 4.50 4.30 5.20 5.20 5.20 5.20 5.20 4.80 4.80 5.20 4.50 4.80 4.80 4.50 4.80 4.80 4.80 4.80 4.50 4.30 4.80 Federal Register / Vol. 89, No. 135 / Monday, July 15, 2024 / Proposed Rules ddrumheller on DSK120RN23PROD with PROPOSALS3 County/parish/city State Salem City ........................................................................................................................................... Scott ..................................................................................................................................................... Shenandoah ........................................................................................................................................ Smyth ................................................................................................................................................... Southampton ....................................................................................................................................... Spotsylvania ........................................................................................................................................ Stafford ................................................................................................................................................ Staunton .............................................................................................................................................. Suffolk City .......................................................................................................................................... Surry .................................................................................................................................................... Sussex ................................................................................................................................................. Tazewell ............................................................................................................................................... Virginia Beach City .............................................................................................................................. Warren ................................................................................................................................................. Washington .......................................................................................................................................... Waynesboro ......................................................................................................................................... Westmoreland ...................................................................................................................................... Williamsburg ........................................................................................................................................ Winchester City ................................................................................................................................... Wise ..................................................................................................................................................... Wythe ................................................................................................................................................... York ..................................................................................................................................................... Addison ................................................................................................................................................ Bennington ........................................................................................................................................... Caledonia ............................................................................................................................................. Chittenden ........................................................................................................................................... Essex ................................................................................................................................................... Franklin ................................................................................................................................................ Grand Isle ............................................................................................................................................ Lamoille ............................................................................................................................................... Orange ................................................................................................................................................. Orleans ................................................................................................................................................ Rutland ................................................................................................................................................ Washington .......................................................................................................................................... Windham .............................................................................................................................................. Windsor ................................................................................................................................................ Adams .................................................................................................................................................. Asotin ................................................................................................................................................... Benton ................................................................................................................................................. Chelan ................................................................................................................................................. Clallam ................................................................................................................................................. Clark .................................................................................................................................................... Columbia .............................................................................................................................................. Cowlitz ................................................................................................................................................. Douglas ................................................................................................................................................ Ferry .................................................................................................................................................... Franklin ................................................................................................................................................ Garfield ................................................................................................................................................ Grant .................................................................................................................................................... Grays Harbor ....................................................................................................................................... Island ................................................................................................................................................... Jefferson .............................................................................................................................................. King ...................................................................................................................................................... Kitsap ................................................................................................................................................... Kittitas .................................................................................................................................................. Klickitat ................................................................................................................................................ Lewis .................................................................................................................................................... Lincoln ................................................................................................................................................. Mason .................................................................................................................................................. Okanogan ............................................................................................................................................ Pacific .................................................................................................................................................. Pend Oreille ......................................................................................................................................... Pierce ................................................................................................................................................... San Juan ............................................................................................................................................. Skagit ................................................................................................................................................... Skamania ............................................................................................................................................. Snohomish ........................................................................................................................................... Spokane ............................................................................................................................................... Stevens ................................................................................................................................................ Thurston ............................................................................................................................................... Wahkiakum .......................................................................................................................................... VerDate Sep<11>2014 19:40 Jul 12, 2024 Jkt 262001 PO 00000 Frm 00103 Fmt 4701 Sfmt 4702 VA VA VA VA VA VA VA VA VA VA VA VA VA VA VA VA VA VA VA VA VA VA VT VT VT VT VT VT VT VT VT VT VT VT VT VT WA WA WA WA WA WA WA WA WA WA WA WA WA WA WA WA WA WA WA WA WA WA WA WA WA WA WA WA WA WA WA WA WA WA WA E:\FR\FM\15JYP3.SGM FIPS code 51775 51169 51171 51173 51175 51177 51179 51790 51800 51181 51183 51185 51810 51187 51191 51820 51193 51830 51840 51195 51197 51199 50001 50003 50005 50007 50009 50011 50013 50015 50017 50019 50021 50023 50025 50027 53001 53003 53005 53007 53009 53011 53013 53015 53017 53019 53021 53023 53025 53027 53029 53031 53033 53035 53037 53039 53041 53043 53045 53047 53049 53051 53053 53055 53057 53059 53061 53063 53065 53067 53069 15JYP3 57681 Class I differential adjusted for location 4.80 4.80 4.30 5.20 5.20 4.50 4.50 4.30 5.20 5.20 5.20 4.80 5.20 4.30 5.20 4.30 4.80 5.20 4.30 4.80 5.20 5.20 4.30 4.50 4.30 4.30 4.20 4.20 4.20 4.30 4.30 4.20 4.30 4.30 4.50 4.50 2.20 2.20 2.20 2.40 2.40 2.70 2.20 2.40 2.40 2.40 2.20 2.20 2.20 2.40 2.40 2.40 2.70 2.40 2.40 2.20 2.40 2.40 2.40 2.40 2.40 2.40 2.40 2.40 2.40 2.40 2.40 2.40 2.40 2.40 2.40 57682 Federal Register / Vol. 89, No. 135 / Monday, July 15, 2024 / Proposed Rules ddrumheller on DSK120RN23PROD with PROPOSALS3 County/parish/city State Walla Walla .......................................................................................................................................... Whatcom .............................................................................................................................................. Whitman ............................................................................................................................................... Yakima ................................................................................................................................................. Adams .................................................................................................................................................. Ashland ................................................................................................................................................ Barron .................................................................................................................................................. Bayfield ................................................................................................................................................ Brown ................................................................................................................................................... Buffalo .................................................................................................................................................. Burnett ................................................................................................................................................. Calumet ............................................................................................................................................... Chippewa ............................................................................................................................................. Clark .................................................................................................................................................... Columbia .............................................................................................................................................. Crawford .............................................................................................................................................. Dane .................................................................................................................................................... Dodge .................................................................................................................................................. Door ..................................................................................................................................................... Douglas ................................................................................................................................................ Dunn .................................................................................................................................................... Eau Claire ............................................................................................................................................ Florence ............................................................................................................................................... Fond du Lac ........................................................................................................................................ Forest ................................................................................................................................................... Grant .................................................................................................................................................... Green ................................................................................................................................................... Green Lake .......................................................................................................................................... Iowa ..................................................................................................................................................... Iron ....................................................................................................................................................... Jackson ................................................................................................................................................ Jefferson .............................................................................................................................................. Juneau ................................................................................................................................................. Kenosha ............................................................................................................................................... Kewaunee ............................................................................................................................................ La Crosse ............................................................................................................................................ Lafayette .............................................................................................................................................. Langlade .............................................................................................................................................. Lincoln ................................................................................................................................................. Manitowoc ............................................................................................................................................ Marathon .............................................................................................................................................. Marinette .............................................................................................................................................. Marquette ............................................................................................................................................. Menominee .......................................................................................................................................... Milwaukee ............................................................................................................................................ Monroe ................................................................................................................................................. Oconto ................................................................................................................................................. Oneida ................................................................................................................................................. Outagamie ........................................................................................................................................... Ozaukee .............................................................................................................................................. Pepin .................................................................................................................................................... Pierce ................................................................................................................................................... Polk ...................................................................................................................................................... Portage ................................................................................................................................................ Price ..................................................................................................................................................... Racine .................................................................................................................................................. Richland ............................................................................................................................................... Rock ..................................................................................................................................................... Rusk ..................................................................................................................................................... Sauk ..................................................................................................................................................... Sawyer ................................................................................................................................................. Shawano .............................................................................................................................................. Sheboygan ........................................................................................................................................... St. Croix ............................................................................................................................................... Taylor ................................................................................................................................................... Trempealeau ........................................................................................................................................ Vernon ................................................................................................................................................. Vilas ..................................................................................................................................................... Walworth .............................................................................................................................................. Washburn ............................................................................................................................................ Washington .......................................................................................................................................... VerDate Sep<11>2014 19:40 Jul 12, 2024 Jkt 262001 PO 00000 Frm 00104 Fmt 4701 Sfmt 4702 WA WA WA WA WI WI WI WI WI WI WI WI WI WI WI WI WI WI WI WI WI WI WI WI WI WI WI WI WI WI WI WI WI WI WI WI WI WI WI WI WI WI WI WI WI WI WI WI WI WI WI WI WI WI WI WI WI WI WI WI WI WI WI WI WI WI WI WI WI WI WI E:\FR\FM\15JYP3.SGM FIPS code 53071 53073 53075 53077 55001 55003 55005 55007 55009 55011 55013 55015 55017 55019 55021 55023 55025 55027 55029 55031 55033 55035 55037 55039 55041 55043 55045 55047 55049 55051 55053 55055 55057 55059 55061 55063 55065 55067 55069 55071 55073 55075 55077 55078 55079 55081 55083 55085 55087 55089 55091 55093 55095 55097 55099 55101 55103 55105 55107 55111 55113 55115 55117 55109 55119 55121 55123 55125 55127 55129 55131 15JYP3 Class I differential adjusted for location 2.20 2.40 2.20 2.20 2.90 2.80 2.80 2.80 2.90 2.80 2.80 2.90 2.80 2.80 2.90 2.90 2.90 2.90 2.90 2.80 2.80 2.80 2.80 2.90 2.80 2.90 2.90 2.90 2.90 2.80 2.80 2.90 2.90 3.10 2.90 2.90 2.90 2.90 2.80 2.90 2.90 2.90 2.90 2.90 3.10 2.90 2.90 2.80 2.90 3.10 2.80 2.80 2.80 2.90 2.80 3.10 2.90 2.90 2.80 2.90 2.80 2.90 2.90 2.80 2.80 2.80 2.90 2.80 3.10 2.80 2.90 Federal Register / Vol. 89, No. 135 / Monday, July 15, 2024 / Proposed Rules ddrumheller on DSK120RN23PROD with PROPOSALS3 County/parish/city State Waukesha ............................................................................................................................................ Waupaca .............................................................................................................................................. Waushara ............................................................................................................................................ Winnebago ........................................................................................................................................... Wood ................................................................................................................................................... Barbour ................................................................................................................................................ Berkeley ............................................................................................................................................... Boone .................................................................................................................................................. Braxton ................................................................................................................................................ Brooke ................................................................................................................................................. Cabell ................................................................................................................................................... Calhoun ............................................................................................................................................... Clay ...................................................................................................................................................... Doddridge ............................................................................................................................................ Fayette ................................................................................................................................................. Gilmer .................................................................................................................................................. Grant .................................................................................................................................................... Greenbrier ............................................................................................................................................ Hampshire ........................................................................................................................................... Hancock ............................................................................................................................................... Hardy ................................................................................................................................................... Harrison ............................................................................................................................................... Jackson ................................................................................................................................................ Jefferson .............................................................................................................................................. Kanawha .............................................................................................................................................. Lewis .................................................................................................................................................... Lincoln ................................................................................................................................................. Logan ................................................................................................................................................... Marion .................................................................................................................................................. Marshall ............................................................................................................................................... Mason .................................................................................................................................................. McDowell ............................................................................................................................................. Mercer .................................................................................................................................................. Mineral ................................................................................................................................................. Mingo ................................................................................................................................................... Monongalia .......................................................................................................................................... Monroe ................................................................................................................................................. Morgan ................................................................................................................................................. Nicholas ............................................................................................................................................... Ohio ..................................................................................................................................................... Pendleton ............................................................................................................................................. Pleasants ............................................................................................................................................. Pocahontas .......................................................................................................................................... Preston ................................................................................................................................................ Putnam ................................................................................................................................................ Raleigh ................................................................................................................................................. Randolph ............................................................................................................................................. Ritchie .................................................................................................................................................. Roane .................................................................................................................................................. Summers ............................................................................................................................................. Taylor ................................................................................................................................................... Tucker .................................................................................................................................................. Tyler ..................................................................................................................................................... Upshur ................................................................................................................................................. Wayne .................................................................................................................................................. Webster ............................................................................................................................................... Wetzel .................................................................................................................................................. Wirt ...................................................................................................................................................... Wood ................................................................................................................................................... Wyoming .............................................................................................................................................. Albany .................................................................................................................................................. Big Horn ............................................................................................................................................... Campbell .............................................................................................................................................. Carbon ................................................................................................................................................. Converse ............................................................................................................................................. Crook ................................................................................................................................................... Fremont ............................................................................................................................................... Goshen ................................................................................................................................................ Hot Springs .......................................................................................................................................... Johnson ............................................................................................................................................... Laramie ................................................................................................................................................ VerDate Sep<11>2014 19:40 Jul 12, 2024 Jkt 262001 PO 00000 Frm 00105 Fmt 4701 Sfmt 4702 WI WI WI WI WI WV WV WV WV WV WV WV WV WV WV WV WV WV WV WV WV WV WV WV WV WV WV WV WV WV WV WV WV WV WV WV WV WV WV WV WV WV WV WV WV WV WV WV WV WV WV WV WV WV WV WV WV WV WV WV WY WY WY WY WY WY WY WY WY WY WY E:\FR\FM\15JYP3.SGM FIPS code 55133 55135 55137 55139 55141 54001 54003 54005 54007 54009 54011 54013 54015 54017 54019 54021 54023 54025 54027 54029 54031 54033 54035 54037 54039 54041 54043 54045 54049 54051 54053 54047 54055 54057 54059 54061 54063 54065 54067 54069 54071 54073 54075 54077 54079 54081 54083 54085 54087 54089 54091 54093 54095 54097 54099 54101 54103 54105 54107 54109 56001 56003 56005 56007 56009 56011 56013 56015 56017 56019 56021 15JYP3 57683 Class I differential adjusted for location 2.90 2.90 2.90 2.90 2.90 4.30 4.30 4.50 4.30 4.00 4.50 4.30 4.50 4.30 4.50 4.30 4.30 4.50 4.30 4.00 4.30 4.30 4.30 4.30 4.50 4.30 4.50 4.50 4.00 4.00 4.30 4.80 4.80 4.10 4.50 4.10 4.80 4.30 4.50 4.00 4.30 4.00 4.50 4.10 4.50 4.50 4.30 4.30 4.30 4.80 4.30 4.30 4.00 4.30 4.50 4.50 4.00 4.30 4.00 4.80 2.40 2.40 2.40 2.40 2.40 2.40 2.40 2.40 2.40 2.40 2.50 57684 Federal Register / Vol. 89, No. 135 / Monday, July 15, 2024 / Proposed Rules County/parish/city State Lincoln ................................................................................................................................................. Natrona ................................................................................................................................................ Niobrara ............................................................................................................................................... Park ..................................................................................................................................................... Platte .................................................................................................................................................... Sheridan .............................................................................................................................................. Sublette ................................................................................................................................................ Sweetwater .......................................................................................................................................... Teton .................................................................................................................................................... Uinta .................................................................................................................................................... Washakie ............................................................................................................................................. Weston ................................................................................................................................................. 5. Amend § 1000.76 by removing the words ‘‘and § 1135.11 of this chapter’’ wherever they appear and by revising and republishing paragraphs (a)(2) through (4) and paragraph (c) to read as follows: ■ § 1000.76 Payments by a handler operating a partially regulated distributing plant. ddrumheller on DSK120RN23PROD with PROPOSALS3 * * * * * (a) * * * (2) For orders with multiple component pricing, compute a Class I differential price by subtracting Class III price from the current month’s applicable Class I price. Multiply the pounds remaining after the computation in paragraph (a)(1)(iii) of this section by the amount by which the Class I differential price exceeds the producer price differential, both prices to be applicable at the location of the partially regulated distributing plant except that neither the adjusted Class I differential price nor the adjusted producer price differential shall be less than zero; (3) For orders with skim milk and butterfat pricing, multiply the remaining pounds by the amount by which the applicable Class I price exceeds the uniform price, both prices to be applicable at the location of the partially regulated distributing plant except that neither the adjusted Class I price nor the adjusted uniform price differential shall be less than the lowest announced class price; and (4) Unless the payment option described in paragraph (d) of this section is selected, add the amount obtained from multiplying the pounds of labeled reconstituted milk included in paragraph (a)(1)(iii) of this section by any positive difference between the applicable Class I price at the location of the partially regulated distributing plant (less $1.00 if the reconstituted milk is labeled as such) and the Class IV price. * * * * * VerDate Sep<11>2014 19:40 Jul 12, 2024 Jkt 262001 (c) The operator of a partially regulated distributing plant that is subject to marketwide pooling of returns under a milk classification and pricing program that is imposed under the authority of a State government shall pay on or before the 25th day after the end of the month (except as provided in § 1000.90) to the market administrator for the producer-settlement fund an amount computed as follows: after completing the computations described in paragraphs (a)(1)(i) and (ii) of this section, determine the value of the remaining pounds of fluid milk products disposed of as route disposition in the marketing area by multiplying the hundredweight of such pounds by the amount, if greater than zero, that remains after subtracting the State program’s class prices applicable to such products at the plant’s location from the applicable Federal order Class I price at the location of the plant. * * * * * PART 1001—MILK IN THE NORTHEAST MARKETING AREA 6. The authority citation for part 1001 continues to read as follows: ■ Authority: 7 U.S.C. 601–674, and 7253. 7. Amend § 1001.60 by: a. Revising the introductory paragraph; ■ b. Redesignating paragraph (i) as paragraph (j); and ■ c. Adding new paragraph (i). The revision and addition read as follows: ■ ■ § 1001.60 Handler’s value of milk. For the purpose of computing a handler’s obligation for producer milk, the market administrator shall determine for each month the value of milk of each handler with respect to each of the handler’s pool plants and of each handler described in § 1000.9(c) of this chapter with respect to milk that was not received at a pool plant by PO 00000 Frm 00106 Fmt 4701 Sfmt 4702 WY WY WY WY WY WY WY WY WY WY WY WY FIPS code Class I differential adjusted for location 56023 56025 56027 56029 56031 56033 56035 56037 56039 56041 56043 56045 2.20 2.40 2.40 2.20 2.40 2.40 2.20 2.40 2.20 2.20 2.40 2.40 adding the amounts computed in paragraphs (a) through (i) of this section and subtracting from that total amount the value computed in paragraph (j) of this section. Unless otherwise specified, the skim milk, butterfat, and the combined pounds of skim milk and butterfat referred to in this section shall result from the steps set forth in § 1000.44(a), (b), and (c) of this chapter, respectively, and the nonfat components of producer milk in each class shall be based upon the proportion of such components in producer skim milk. Receipts of nonfluid milk products that are distributed as labeled reconstituted milk for which payments are made to the producer-settlement fund of another Federal order under § 1000.76(a)(4) or (d) of this chapter shall be excluded from pricing under this section. * * * * * (i) Compute an adjustment for eligible Class I producer milk pursuant to § 1000.43(e) of this chapter by multiplying the Class I skim milk price adjuster computed in § 1000.50(r) of this chapter by the pounds of skim milk eligible in Class I. * * * * * PART 1005—MILK IN THE APPLACHIAN MARKETING AREA 8. The authority citation for part 1005 continues to read as follows: ■ Authority: 7 U.S.C. 601–674, and 7253. 9. Amend § 1005.51 by revising paragraph (a) and removing and reserving paragraph (b) to read as follows: ■ § 1005.51 Class I differential, adjustments to Class I prices, and Class I price. (a) The Class I differential shall be the differential established for Mecklenburg County, North Carolina, which is reported in § 1000.52 of this chapter. The Class I price shall be the price computed pursuant to § 1000.50(a) of E:\FR\FM\15JYP3.SGM 15JYP3 Federal Register / Vol. 89, No. 135 / Monday, July 15, 2024 / Proposed Rules this chapter for Mecklenburg County, North Carolina. (b) [Reserved] ■ 10. Amend § 1005.60 by: ■ a. Revising the introductory paragraph and paragraph (a); ■ b. Removing paragraph (g); ■ c. Redesignating paragraph (f) as paragraph (g); and ■ d. Adding new paragraph (f). The revisions and addition read as follows: § 1005.60 Handler’s value of milk. For the purpose of computing a handler’s obligation for producer milk, the market administrator shall determine for each month the value of milk of each handler with respect to each of the handler’s pool plants and of each handler described in § 1000.9(c) of this chapter with respect to milk that was not received at a pool plant by adding the amounts computed in paragraphs (a) through (f) of this section and subtracting from that total amount the value computed in paragraph (g) of this section. Receipts of nonfluid milk products that are distributed as labeled reconstituted milk for which payments are made to the producer-settlement fund of another Federal order under § 1000.76(a)(4) or (d) of this chapter shall be excluded from pricing under this section. (a) Multiply the pounds of skim milk and butterfat in producer milk that were classified in each class pursuant to § 1000.44(c) of this chapter by the applicable skim milk and butterfat prices, and add the resulting amounts; * * * * * (f) Compute an adjustment for eligible Class I producer milk pursuant to § 1000.43(e) of this chapter by multiplying the Class I skim milk price adjuster computed in § 1000.50(r) of this chapter by the pounds of skim milk eligible in Class I. * * * * * PART 1006—MILK IN THE FLORIDA MARKETING AREA pursuant to § 1000.50(a) of this chapter for Hillsborough County, Florida. (b) [Reserved] ■ 13. Amend § 1006.60 by: ■ a. Revising the introductory paragraph and paragraph (a); ■ b. Removing paragraphs (g) through (i); ■ c. Redesignating paragraph (f) as paragraph (g); and ■ d. Adding new paragraph (f). The revisions and addition read as follows: price shall be the price computed pursuant to § 1000.50(a) of this chapter for Fulton County, Georgia. (b) [Reserved] ■ 16. Amend § 1007.60 by: ■ a. Revising the introductory paragraph and paragraph (a); ■ b. Removing paragraph (g); ■ c. Redesignating paragraph (f) as paragraph (g); and ■ d. Adding new paragraph (f). The revisions and addition read as follows: § 1006.60 § 1007.60 11. The authority citation for part 1006 continues to read as follows: 14. The authority citation for part 1007 continues to read as follows: ■ Authority: 7 U.S.C. 601–674, and 7253. 12. Amend § 1006.51 by revising paragraph (a), removing and reserving paragraph (b), and removing paragraph (c) to read as follows: Authority: 7 U.S.C. 601–674, and 7253. ddrumheller on DSK120RN23PROD with PROPOSALS3 ■ § 1006.51 Class I differential, adjustments to Class I prices, and Class I price. (a) The Class I differential shall be the differential established for Hillsborough County, Florida, which is reported in § 1000.52 of this chapter. The Class I price shall be the price computed VerDate Sep<11>2014 19:40 Jul 12, 2024 Jkt 262001 Handler’s value of milk. For the purpose of computing a handler’s obligation for producer milk, the market administrator shall determine for each month the value of milk of each handler with respect to each of the handler’s pool plants and of each handler described in § 1000.9(c) of this chapter with respect to milk that was not received at a pool plant by adding the amounts computed in paragraphs (a) through (f) of this section and subtracting from that total amount the value computed in paragraph (g) of this section. Receipts of nonfluid milk products that are distributed as labeled reconstituted milk for which payments are made to the producer-settlement fund of another Federal order under § 1000.76(a)(4) or (d) of this chapter shall be excluded from pricing under this section. (a) Multiply the pounds of skim milk and butterfat in producer milk that were classified in each class pursuant to § 1000.44(c) of this chapter by the applicable skim milk and butterfat prices, and add the resulting amounts; * * * * * (f) Compute an adjustment for eligible Class I producer milk pursuant to § 1000.43(e) of this chapter by multiplying the Class I skim milk price adjuster computed in § 1000.50(r) of this chapter by the pounds of skim milk eligible in Class I. * * * * * PART 1007—MILK IN THE SOUTHEAST MARKETING AREA ■ 57685 15. Amend § 1007.51 by revising paragraph (a) and removing and reserving paragraph (b) to read as follows: ■ § 1007.51 Class I differential, adjustments to Class I prices, and Class I price. (a) The Class I differential shall be the differential established for Fulton County, Georgia, which is reported in § 1000.52 of this chapter. The Class I PO 00000 Frm 00107 Fmt 4701 Sfmt 4702 Handler’s value of milk. For the purpose of computing a handler’s obligation for producer milk, the market administrator shall determine for each month the value of milk of each handler with respect to each of the handler’s pool plants and of each handler described in § 1000.9(c) of this chapter with respect to milk that was not received at a pool plant by adding the amounts computed in paragraphs (a) through (f) of this section and subtracting from that total amount the value computed in paragraph (g) of this section. Receipts of nonfluid milk products that are distributed as labeled reconstituted milk for which payments are made to the producer-settlement fund of another Federal order under § 1000.76(a)(4) or (d) of this chapter shall be excluded from pricing under this section. (a) Multiply the pounds of skim milk and butterfat in producer milk that were classified in each class pursuant to § 1000.44(c) of this chapter by the applicable skim milk and butterfat prices, and add the resulting amounts; * * * * * (f) Compute an adjustment for eligible Class I producer milk pursuant to § 1000.43(e) of this chapter by multiplying the Class I skim milk price adjuster computed in § 1000.50(r) of this chapter by the pounds of skim milk eligible in Class I. * * * * * PART 1030—MILK IN THE UPPER MIDWEST MARKETING AREA 17. The authority citation for part 1030 continues to read as follows: ■ Authority: 7 U.S.C. 601–674, and 7253. 18. Amend § 1030.60 by: a. Revising the introductory paragraph; ■ b. Redesignating paragraphs (j) and (k) as paragraphs (k) and (l); and ■ c. Adding new paragraph (j). The revision and addition read as follows: ■ ■ § 1030.60 Handler’s value of milk. For the purpose of computing a handler’s obligation for producer milk, E:\FR\FM\15JYP3.SGM 15JYP3 57686 Federal Register / Vol. 89, No. 135 / Monday, July 15, 2024 / Proposed Rules the market administrator shall determine for each month the value of milk of each handler with respect to each of the handler’s pool plants and of each handler described in § 1000.9(c) of this chapter with respect to milk that was not received at a pool plant by adding the amounts computed in paragraphs (a) through (j) of this section and subtracting from that total amount the values computed in paragraphs (k) and (l) of this section. Unless otherwise specified, the skim milk, butterfat, and the combined pounds of skim milk and butterfat referred to in this section shall result from the steps set forth in § 1000.44(a), (b), and (c) of this chapter, respectively, and the nonfat components of producer milk in each class shall be based upon the proportion of such components in producer skim milk. Receipts of nonfluid milk products that are distributed as labeled reconstituted milk for which payments are made to the producer-settlement fund of another Federal order under § 1000.76(a)(4) or (d) of this chapter shall be excluded from pricing under this section. * * * * * (j) Compute an adjustment for eligible Class I producer milk pursuant to § 1000.43(e) of this chapter by multiplying the Class I skim milk price adjuster computed in § 1000.50(r) of this chapter by the pounds of skim milk eligible in Class I. * * * * * PART 1032—MILK IN THE CENTRAL MARKETING AREA 19. The authority citation for part 1032 continues to read as follows: ■ Authority: 7 U.S.C. 601–674, and 7253. 20. Amend § 1032.60 by: a. Revising the introductory paragraph; ■ b. Redesignating paragraph (j) as paragraph (k); and ■ c. Adding new paragraph (j). The revision and addition read as follows: ddrumheller on DSK120RN23PROD with PROPOSALS3 Handler’s value of milk. For the purpose of computing a handler’s obligation for producer milk, the market administrator shall determine for each month the value of milk of each handler with respect to each of the handler’s pool plants and of each handler described in § 1000.9(c) of this chapter with respect to milk that was not received at a pool plant by adding the amounts computed in paragraphs (a) through (j) of this section and subtracting from that total amount the value computed in paragraph (k) of this section. Unless otherwise specified, VerDate Sep<11>2014 19:40 Jul 12, 2024 Jkt 262001 PART 1033—MILK IN THE MIDEAST MARKETING AREA 21. The authority citation for part 1033 continues to read as follows: ■ Authority: 7 U.S.C. 601–674, and 7253. 22. Amend § 1033.60 by: a. Revising the introductory paragraph; ■ b. Redesignating paragraph (j) as paragraph (k); and ■ c. Adding new paragraph (j). The revision and addition read as follows: ■ ■ § 1033.60 ■ ■ § 1032.60 the skim milk, butterfat, and the combined pounds of skim milk and butterfat referred to in this section shall result from the steps set forth in § 1000.44(a), (b), and (c) of this chapter, respectively, and the nonfat components of producer milk in each class shall be based upon the proportion of such components in producer skim milk. Receipts of nonfluid milk products that are distributed as labeled reconstituted milk for which payments are made to the producer-settlement fund of another Federal order under § 1000.76(a)(4) or (d) of this chapter shall be excluded from pricing under this section. * * * * * (j) Compute an adjustment for eligible Class I producer milk pursuant to § 1000.43(e) of this chapter by multiplying the Class I skim milk price adjuster computed in § 1000.50(r) of this chapter by the pounds of skim milk eligible in Class I. * * * * * Handler’s value of milk. For the purpose of computing a handler’s obligation for producer milk, the market administrator shall determine for each month the value of milk of each handler with respect to each of the handler’s pool plants and of each handler described in § 1000.9(c) of this chapter with respect to milk that was not received at a pool plant by adding the amounts computed in paragraphs (a) through (j) of this section and subtracting from that total amount the value computed in paragraph (k) of this section. Unless otherwise specified, the skim milk, butterfat, and the combined pounds of skim milk and butterfat referred to in this section shall result from the steps set forth in § 1000.44(a), (b), and (c) of this chapter, respectively, and the nonfat components of producer milk in each class shall be based upon the proportion of such components in producer skim milk. Receipts of nonfluid milk products that are distributed as labeled reconstituted milk for which payments are made to PO 00000 Frm 00108 Fmt 4701 Sfmt 4702 the producer-settlement fund of another Federal order under § 1000.76(a)(4) or (d) of this chapter shall be excluded from pricing under this section. * * * * * (j) Compute an adjustment for eligible Class I producer milk pursuant to § 1000.43(e) of this chapter by multiplying the Class I skim milk price adjuster computed in § 1000.50(r) of this chapter by the pounds of skim milk eligible in Class I. * * * * * PART 1051—MILK IN THE CALIFORNIA MARKETING AREA 23. The authority citation for part 1051 continues to read as follows: ■ Authority: 7 U.S.C. 601–674, and 7253. 24. Amend § 1051.60 by: a. Revising the introductory paragraph; ■ b. Redesignating paragraph (i) as paragraph (j); and ■ c. Adding new paragraph (i). The revision and addition read as follows: ■ ■ § 1051.60 Handler’s value of milk. For the purpose of computing a handler’s obligation for producer milk, the market administrator shall determine for each month the value of milk of each handler with respect to each of the handler’s pool plants and of each handler described in § 1000.9(c) of this chapter with respect to milk that was not received at a pool plant by adding the amounts computed in paragraphs (a) through (i) of this section and subtracting from that total amount the value computed in paragraph (j) of this section. Unless otherwise specified, the skim milk, butterfat, and the combined pounds of skim milk and butterfat referred to in this section shall result from the steps set forth in § 1000.44(a), (b), and (c) of this chapter, respectively, and the nonfat components of producer milk in each class shall be based upon the proportion of such components in producer skim milk. Receipts of nonfluid milk products that are distributed as labeled reconstituted milk for which payments are made to the producer-settlement fund of another Federal order under § 1000.76(a)(4) or (d) of this chapter shall be excluded from pricing under this section. * * * * * (i) Compute an adjustment for eligible Class I producer milk pursuant to § 1000.43(e) of this chapter by multiplying the Class I skim milk price adjuster computed in § 1000.50(r) of this E:\FR\FM\15JYP3.SGM 15JYP3 Federal Register / Vol. 89, No. 135 / Monday, July 15, 2024 / Proposed Rules chapter by the pounds of skim milk eligible in Class I. * * * * * chapter by the pounds of skim milk eligible in Class I. * * * * * chapter by the pounds of skim milk eligible in Class I. * * * * * PART 1124—MILK IN THE PACIFIC NORTHWEST MARKETING AREA PART 1126—MILK IN THE SOUTHWEST MARKETING AREA PART 1131—MILK IN THE ARIZONA MARKETING AREA 25. The authority citation for part 1124 continues to read as follows: ■ 27. The authority citation for part 1126 continues to read as follows: ■ ■ Authority: 7 U.S.C. 601–674, and 7253. 29. The authority citation for part 1131 continues to read as follows: Authority: 7 U.S.C. 601–674, and 7253. Authority: 7 U.S.C. 601–674, and 7253. 26. Amend § 1124.60 by: a. Revising the introductory paragraph; ■ b. Redesignating paragraph (i) as paragraph (j); and ■ c. Adding new paragraph (i). The revision and addition read as follows: ■ ■ 28. Amend § 1126.60 by: a. Revising the introductory paragraph; ■ b. Redesignating paragraph (j) as paragraph (k); and ■ c. Adding new paragraph (j). The revision and addition read as follows: ■ ■ § 1124.60 § 1126.60 § 1131.60 ■ ■ Handler’s value of milk. For the purpose of computing a handler’s obligation for producer milk, the market administrator shall determine for each month the value of milk of each handler with respect to each of the handler’s pool plants and of each handler described in § 1000.9(c) of this chapter with respect to milk that was not received at a pool plant by adding the amounts computed in paragraphs (a) through (i) of this section and subtracting from that total amount the value computed in paragraph (j) of this section. Unless otherwise specified, the skim milk, butterfat, and the combined pounds of skim milk and butterfat referred to in this section shall result from the steps set forth in § 1000.44(a), (b), and (c) of this chapter, respectively, and the nonfat components of producer milk in each class shall be based upon the proportion of such components in producer skim milk. Receipts of nonfluid milk products that are distributed as labeled reconstituted milk for which payments are made to the producer-settlement fund of another Federal order under § 1000.76(a)(4) or (d) of this chapter shall be excluded from pricing under this section. * * * * * (i) Compute an adjustment for eligible Class I producer milk pursuant to § 1000.43(e) of this chapter by multiplying the Class I skim milk price adjuster computed in § 1000.50(r) of this ddrumheller on DSK120RN23PROD with PROPOSALS3 57687 VerDate Sep<11>2014 19:40 Jul 12, 2024 Jkt 262001 Handler’s value of milk. For the purpose of computing a handler’s obligation for producer milk, the market administrator shall determine for each month the value of milk of each handler with respect to each of the handler’s pool plants and of each handler described in § 1000.9(c) of this chapter with respect to milk that was not received at a pool plant by adding the amounts computed in paragraphs (a) through (j) of this section and subtracting from that total amount the value computed in paragraph (k) of this section. Unless otherwise specified, the skim milk, butterfat, and the combined pounds of skim milk and butterfat referred to in this section shall result from the steps set forth in § 1000.44(a), (b), and (c) of this chapter, respectively, and the nonfat components of producer milk in each class shall be based upon the proportion of such components in producer skim milk. Receipts of nonfluid milk products that are distributed as labeled reconstituted milk for which payments are made to the producer-settlement fund of another Federal order under § 1000.76(a)(4) or (d) of this chapter shall be excluded from pricing under this section. * * * * * (j) Compute an adjustment for eligible Class I producer milk pursuant to § 1000.43(e) of this chapter by multiplying the Class I skim milk price adjuster computed in § 1000.50(r) of this PO 00000 Frm 00109 Fmt 4701 Sfmt 9990 30. Amend § 1131.60 by: a. Revising the introductory paragraph; ■ b. Redesignating paragraph (f) as paragraph (g); and ■ c. Adding new paragraph (f). The revision and addition read as follows: Handler’s value of milk. For the purpose of computing a handler’s obligation for producer milk, the market administrator shall determine for each month the value of milk of each handler with respect to each of the handler’s pool plants and of each handler described in § 1000.9(c) of this chapter with respect to milk that was not received at a pool plant by adding the amounts computed in paragraphs (a) through (f) of this section and subtracting from that total amount the value computed in paragraph (g) of this section. Receipts of nonfluid milk products that are distributed as labeled reconstituted milk for which payments are made to the producer-settlement fund of another Federal order under § 1000.76(a)(4) or (d) of this chapter shall be excluded from pricing under this section. * * * * * (f) Compute an adjustment for eligible Class I producer milk pursuant to § 1000.43(e) of this chapter by multiplying the Class I skim milk price adjuster computed in § 1000.50(r) of this chapter by the pounds of skim milk eligible in Class I. * * * * * Erin Morris, Associate Administrator, Agricultural Marketing Service. [FR Doc. 2024–14769 Filed 7–12–24; 8:45 am] BILLING CODE 3410–02–P E:\FR\FM\15JYP3.SGM 15JYP3

Agencies

[Federal Register Volume 89, Number 135 (Monday, July 15, 2024)]
[Proposed Rules]
[Pages 57580-57687]
From the Federal Register Online via the Government Publishing Office [www.gpo.gov]
[FR Doc No: 2024-14769]



[[Page 57579]]

Vol. 89

Monday,

No. 135

July 15, 2024

Part III





 Department of Agriculture





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Agricultural Marketing Service





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7 CFR Parts 1000, 1001, et al.





Milk in the Northeast and Other Marketing Areas; Proposed Amendments to 
Marketing Agreements and Orders; Proposed Rule

Federal Register / Vol. 89, No. 135 / Monday, July 15, 2024 / 
Proposed Rules

[[Page 57580]]


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DEPARTMENT OF AGRICULTURE

Agricultural Marketing Service

7 CFR Parts 1000, 1001, 1005, 1006, 1007, 1030, 1032, 1033, 1051, 
1124, 1126, and 1131

[Doc. No. AMS-DA-23-0031]


Milk in the Northeast and Other Marketing Areas; Proposed 
Amendments to Marketing Agreements and Orders

AGENCY: Agricultural Marketing Service, USDA.

ACTION: Proposed rule.

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SUMMARY: This decision proposes to amend the pricing provisions in the 
11 Federal Milk Marketing Orders (FMMOs).

DATES: Written exceptions and comments to this proposed rule must be 
submitted on or before September 13, 2024.

ADDRESSES: Written exceptions should be filed with the Office of the 
Hearing Clerk, U.S. Department of Agriculture, 1400 Independence Ave. 
SW, Stop 9203, Room 1031, Washington, DC 20250-9203; Fax: (844) 325-
6940 or via the internet at https://www.regulations.gov. All comments 
should reference the docket number and the date and page number of this 
issue of the Federal Register. Comments will be made available for 
public inspection in the Office of the Hearing Clerk during regular 
business hours or can be viewed at https://www.regulations.gov. A 
plain-language summary of this proposed rule is available at https://www.regulations.gov in the docket for this rulemaking.

FOR FURTHER INFORMATION CONTACT: Erin Taylor, USDA/AMS/Dairy Programs, 
Order Formulation and Enforcement Branch, STOP 0231-Room 2530, 1400 
Independence Avenue SW, Washington, DC 20250-0231, Telephone: (202) 
720-7183, Email address: [email protected].

SUPPLEMENTARY INFORMATION: This recommended decision proposes 
amendments to five categories of milk pricing:
    1. Milk Composition Factors. Update the factors to 3.3 percent true 
protein, 6 percent other solids, and 9.3 percent nonfat solids.
    2. Surveyed Commodity Products. Remove 500-pound barrel cheddar 
cheese prices from the Dairy Products Mandatory Reporting Program 
(DPMRP) survey and rely solely on the 40-pound block cheddar cheese 
price to determine the monthly average cheese price used in the 
formulas.
    3. Class III and Class IV Formula Factors. Update the manufacturing 
allowances to: Cheese: $0.2504; Butter: $0.2257; Nonfat Dry Milk 
(NFDM): $0.2268; and Dry Whey: $0.2653. This decision also proposes 
updating the butterfat recovery factor to 91 percent.
    4. Base Class I Skim Milk Price. Update the formula as follows: the 
base Class I skim milk price would be the higher-of the advanced Class 
III or Class IV skim milk prices for the month. In addition, adopt a 
Class I extended shelf life (ESL) adjustment equating to a Class I 
price for all ESL products equal to the average-of mover, plus a 24-
month rolling average adjuster with a 12-month lag.
    5. Class I and Class II differentials. Keep the $1.60 base 
differential and adopt modified location specific Class I differential 
values.
    In conjunction with this Recommended Decision, the Agricultural 
Marketing Service (AMS) conducted a Regulatory Economic Impact Analysis 
to determine the potential impact of amending FMMO pricing formulas on 
producer revenue and marketwide pool values. AMS used a static analysis 
incorporating actual data reported from January 2019 to December 2023 
to determine the estimated price impacts of the package of amendments 
included in this Recommended Decision. The full text of the Regulatory 
Economic Impact Analysis may be accessed at https://www.regulations.gov 
or https://www.ams.usda.gov/rules-regulations/moa/dairy/hearings/national-fmmo-pricing-hearing.

Prior Documents in This Proceeding

    Notice of Hearing: Published July 24, 2023 (88 FR 47396).
    Notice of Reconvened Hearing: Published November 6, 2023 (88 FR 
76143).
    Notice of Reconvened Hearing: Published December 29, 2023 (88 FR 
90134).
    This administrative action is governed by sections 556 and 557 of 
title 5 of the United States Code and, therefore, is excluded from the 
requirements of Executive Orders 12866, 13563, and 13175.
    The amendments to the rules proposed herein have been reviewed 
under Executive Order 12988, Civil Justice Reform. They are not 
intended to have a retroactive effect. If adopted, the proposed 
amendments would not preempt any state or local laws, regulations, or 
policies, unless they present an irreconcilable conflict with this 
rule.
    The Agricultural Marketing Agreement Act of 1937, as amended (7 
U.S.C. 601-674) (AMAA), provides that administrative proceedings must 
be exhausted before parties may file suit in court. Under section 
608c(15)(A) of the AMAA, any handler subject to an order may request 
modification or exemption from such order by filing a petition with the 
USDA stating that the order, any provision of the order, or any 
obligation imposed in connection with the order is not in accordance 
with the law. A handler is afforded the opportunity for a hearing on 
the petition. After a hearing, USDA would rule on the petition. The 
AMAA provides that the district court of the United States in any 
district in which the handler is an inhabitant, or has its principal 
place of business, has jurisdiction in equity to review USDA's ruling 
on the petition, provided a bill in equity is filed not later than 20 
days after the date of the entry of the ruling.

Civil Rights Impact Analysis

    AMS has reviewed this rulemaking in accordance with USDA 
Departmental Regulation 4300-004, Civil Rights Impact Analysis, to 
identify any major civil rights impacts the rule might have on FMMO 
participants on the basis of race, color, national origin, disability, 
sex, gender identity, political beliefs, age, marital, family/parental 
status, religion, sexual orientation, reprisal, or because of an 
individuals' income is derived from any public assistance program. 
Based on the review and analysis of the rule and all available data, 
issuance of this proposed rule is not likely to negatively impact low 
and moderate-income populations, minority populations, women, Tribes or 
persons with disabilities, by virtue of their age, race, color, 
national origin, sex, disability, or marital or familial status. No 
major civil rights impact is likely to result from this proposed rule.

Regulatory Flexibility Act and Paperwork Reduction Act

    In accordance with the Regulatory Flexibility Act (RFA) (5 U.S.C. 
601 et seq.), the AMS has considered the economic impact of this action 
on small entities. Accordingly, AMS has prepared this initial 
regulatory flexibility analysis. The purpose of the RFA is to fit 
regulatory actions to the scale of businesses subject to such actions 
so that small businesses will not be unduly or disproportionately 
burdened. Marketing orders and amendments thereto are unique in that 
they are normally brought about through

[[Page 57581]]

group action of essentially small entities for their own benefit. A 
small dairy farm as defined by the Small Business Administration (SBA) 
(13 CFR 121.201) is one that has an annual gross revenue of $3.75 
million or less, and a small dairy products manufacturer is one that 
has no more than the number of employees listed in the chart below:

------------------------------------------------------------------------
                             NAICS U.S. industry     Size standards in
        NAICS code                  title           number of employees
------------------------------------------------------------------------
311511....................  Fluid Milk                             1,150
                             Manufacturing.
311512....................  Creamery Butter                          750
                             Manufacturing.
311513....................  Cheese Manufacturing.                  1,250
311514....................  Dry, Condensed, and                    1,000
                             Evaporated Dairy
                             Product
                             Manufacturing.
------------------------------------------------------------------------

    To determine which dairy farms are ``small businesses,'' the $3.75 
million per year income limit was used to establish an annual milk 
marketing threshold of 18.3 million pounds. Although this threshold 
does not factor in additional monies that may be received by dairy 
producers, it should be an accurate standard for most ``small'' dairy 
farmers. Based on the U.S. 2023 average yield per cow and 2023 NASS 
average All-Milk price, a dairy farm with approximately 780 cows or 
fewer would meet the definition of small business. In 2022, the most 
recent year with statistics available, there were 24,470 dairy farms 
with milk sales, of which approximately 19,576 had milk regulated on an 
FMMO for at least one month of the year. Based on the 2022 Census of 
Agriculture, Milk Cow Herd Size by Inventory and Sales, an estimated 89 
percent of operations with milk sales are likely to be small 
businesses.
    To determine a handler's size, if the plant is part of a larger 
company operating multiple plants that collectively exceed the 750-
employee limit for creamery butter manufacturing; the 1,000-employee 
limit for dry, condensed, and evaporated dairy product manufacturing; 
the 1,150-employee limit for fluid milk manufacturing; or the 1,250-
employee limit for cheese manufacturing; the plant was considered a 
large business even if the local plant does not exceed the 750, 1,000, 
1,150, or 1,250-employee limit, respectively.
    In 2022, the following number of plants were regulated for at least 
one month of the year in each FMMO: 66 plants on the Northeast, 19 
plants on the Appalachian, 9 plants on the Florida, 20 plants on the 
Southeast, 58 plants on the Upper Midwest, 32 plants on the Central, 43 
plants on the Mideast, 24 plants on California, 17 plants on the 
Pacific Northwest, 26 plants on the Southwest, and 8 plants on Arizona. 
According to the 2022 Census of Agriculture, approximately 86 percent 
of fluid milk manufacturing plants, approximately 96 percent of cheese 
plants, approximately 82 percent of dry products plants, and 
approximately 78 percent of butter plants met the SBA definition of 
small businesses.

How FMMO Pricing Provisions Currently Operate

    The amendments recommended for adoption in this decision cover five 
milk pricing subject areas: Milk Composition Factors, Surveyed 
Commodity Products, Class III and Class IV Formula Factors, base Class 
I skim milk price (Class I mover), and Class I and II Differentials. 
This decision proposes to amend provisions in all five pricing subject 
areas. The amendments are intended to update formulas and factors in 
response to industry changes over time, many of which have not been 
updated since the provisions were adopted on January 1, 2000, to ensure 
USDA is carrying out the purposes of the AMAA.
    Milk Composition Factors. FMMO milk prices are based on three 
primary components--protein, other solids, and nonfat solids. Skim milk 
composition factors in the current price formulas codified in the FMMO 
regulations were adopted in 2000: 3.1 percent protein, 5.9 percent 
other solids, and 9 percent nonfat solids. The proposed amendments 
would increase milk composition factors to 3.3 percent protein, 6.0 
percent other solids, and 9.3 percent nonfat solids. Actual component 
tests of skim milk have increased since 2000, with more significant 
increases beginning in 2016. The amendments are intended to more 
accurately represent component levels in milk produced.
    Surveyed Commodity Products. Milk prices under FMMOs are related to 
wholesale prices for butter, cheese, nonfat dry milk, and dry whey. The 
formulas use USDA-surveyed average wholesale prices to calculate milk 
component prices (butterfat, protein, nonfat solids, and other solids) 
that are converted to Class III and IV milk prices. The protein value 
in cheese is a component of the Class III price. Currently, the prices 
of commodity cheddar cheese packaged in 40-lb blocks (``blocks'') and 
500-lb barrels (``barrels'') are collected weekly by AMS through the 
DPMRP survey. A monthly average of those prices is used to represent 
commodity cheese in the Class III price formula. The butterfat value in 
commodity salted butter is the driver of the butterfat price used in 
all classified prices. The proposed amendments would eliminate 500-lb 
barrels from the DPMRP survey and rely solely on the monthly average 
survey price for 40-lb cheddar blocks. The amendment is intended to 
provide for more orderly marketing through a survey of only one 
product.
    Class III and IV Formulas Factors. Make allowances are a factor in 
the FMMO pricing formulas representing the cost of converting raw milk 
into the four manufactured dairy products surveyed by USDA (butter, 
cheese, nonfat dry milk, and dry whey). Make allowances were last 
updated in 2008 following a rulemaking proceeding in 2007. The proposed 
amendments would update the make allowances in the FMMO Class III and 
IV formulas to the following: $0.2504 for cheese; $0.2257 for butter; 
$0.2268 for NFDM; and $0.2653 for dry whey. The proposed amendments 
would also update the butterfat recovery factor in the Class III 
formula to 91 percent. The amendments are intended to update the 
formula factors to be more representative of current costs and 
butterfat recovery observed in dairy product manufacturing.
    Class I mover. The Class I mover is the base price for the skim 
milk portion of raw milk used in the production of Class I products. 
The Agriculture Improvement Act of 2018 (2018 Farm Bill) amended the 
Class I skim milk price mover from the ``higher of'' Class III or Class 
IV skim prices to a simple average of the two classes plus $0.74, 
referred to as the ``average of'' mover. The proposed amendments would 
return the base Class I skim milk price calculation to the higher-of 
Class III or Class IV skim prices. The proposed amendments would also 
adopt a rolling monthly Class I ESL adjustment equating to a Class I 
price for all ESL products equal to the average-of the Class III and 
Class IV advance prices,

[[Page 57582]]

plus a 24-month rolling average adjuster, with a 12-month lag. The 
monthly Class I ESL adjustment would be calculated as the average of 
the differences between the higher-of and the average-of calculations 
for the prior 13 to 36 months. The amendments are intended to provide 
for more orderly marketing by returning to the higher-of mover; while 
the Class I ESL adjustment would provide better price equity for ESL 
products whose marketing characteristics are distinct from other Class 
I products.
    Class I and II Differentials. FMMO Class I prices are calculated as 
the average of the advanced Class III and Class IV prices, plus $0.74, 
plus a location-specific differential referred to as a Class I 
differential. As the value of milk varies by location, Class I 
differentials have been determined for every county in the continental 
U.S. Current Class I differential levels were implemented January 1, 
2000, with updates to the differentials in the three southeastern 
orders taking effect May 1, 2008. The proposed amendments would retain 
the $1.60 base differential and adopt modified location-specific Class 
I differential values. The amendments are intended to recognize the 
evolution of the dairy industry since 2000 and the increased cost of 
servicing the Class I market given current transportation costs and 
plant and producer locations.
    This decision finds these amendments are necessary. The evidentiary 
record reflected testimony from a broad range of stakeholder views that 
updates are necessary in all five pricing subject areas to reflect 
current market conditions.

Impact on Small Businesses

    An economic analysis has been performed on impacts the proposed 
amendments will have on industry participants, including producers and 
handlers. It can be found on the AMS website at https://www.ams.usda.gov/rules-regulations/moa/dairy/hearings/national-fmmo-pricing-hearing. The proposed amendments would be applied identically 
to all proprietary and cooperative handlers regulated by FMMOs, 
regardless of their size. The proposed amendments would implement 
prices that more accurately reflect current market conditions, 
providing for more orderly marketing for both small and large producers 
and handlers.
    AMS considered alternatives to each of the recommended amendments. 
Over 49 days of hearing, dozens of witnesses from 9 industry 
stakeholder groups presented testimony and evidence on 21 proposals in 
the 5 pricing subject areas. AMS considered all evidence and testimony, 
including alternative proposals presented, in making its 
recommendations.
    A review of reporting requirements was completed under the 
Paperwork Reduction Act of 1995 (44 U.S.C. Chapter 35). It was 
determined that these proposed amendments would have no impact on 
reporting, recordkeeping, or other compliance requirements because they 
would remain identical to the current requirements. No new forms are 
proposed, and no additional reporting requirements would be necessary.
    This proposed rule does not require additional information 
collection that requires clearance by the Office of Management and 
Budget (OMB) beyond currently approved information collection. The 
primary sources of data used to complete the forms are routinely used 
in most business transactions. Forms require only a minimal amount of 
information which can be supplied without data processing equipment or 
a trained statistical staff. Thus, since the information is already 
provided, no new information collection requirements are needed, and 
the current information collection and reporting burden is relatively 
small. Requiring the same reports for all handlers does not 
significantly disadvantage any handler that is smaller than the 
industry average.
    AMS is committed to complying with the E-Government Act, to promote 
the use of the internet and other information technologies to provide 
increased opportunities for citizen access to Government information 
and services, and for other purposes.
    No other burdens are expected to fall on the dairy industry as a 
result of this rulemaking. This rulemaking does not duplicate, overlap, 
or conflict with any existing Federal rules.

Preliminary Statement

    A public hearing was held upon proposed amendments to the marketing 
agreement and the orders regulating the handling of milk in all 11 
Federal milk marketing areas. The hearing was held pursuant to the 
provisions of the AMAA, as amended (7 U.S.C. 601-674), and the 
applicable rules of practice and procedure governing the formulation of 
marketing agreements and marketing orders (7 CFR part 900).
    The proposed amendments set forth below are based on the record of 
a public hearing held in Carmel, IN, from August 23-October 11, 2023, 
November 27-December 8, 2023, January 16-19, 2024, and January 29-31, 
2024, pursuant to a notice of hearing published July 24, 2023 (88 FR 
47396), a notice of reconvened hearing published November 6, 2023 (88 
FR 76143), and a second notice of reconvened hearing, published 
December 29, 2023 (88 FR 90134).
    The hearing was held to receive evidence on 21 proposals submitted 
by dairy farmers, handlers, and other interested parties. A total of 
165 witnesses testified over the course of the 49-day hearing. 
Witnesses provided an overview of the complexity of the U.S. dairy 
industry and submitted 511 exhibits containing supporting data, 
analyses, and historical information.
    The material issues, related to FMMO pricing formulas, presented on 
the record of hearing are as follows:

1. Milk Composition Factors
2. Surveyed Commodity Products
3. Class III and Class IV Formula Factors
4. Base Class I Skim Milk Price
5. Class I and Class II differentials

Summary of Testimony

Milk Composition

    Two proposals seeking to amend the milk composition standards are 
being considered in this rulemaking. Proposal 1, submitted by the 
National Milk Producers Federation (NMPF) seeks to increase the skim 
component factors, with a 12-month implementation lag. The proposed 
standards are as follows: increase the nonfat solids assumption from 
9.0 to 9.41 per hundredweight (cwt) of Class IV skim milk; increase the 
protein assumption from 3.1 to 3.39 per cwt of Class III skim milk; and 
increase the other solids assumption from 5.9 to 6.02 per cwt of Class 
III skim milk. Proposal 1 also contains an updating methodology that 
would automatically update the standards no more than once every three 
years once the nonfat solids component for the prior three years 
changes by at least .07 percentage points.
    Proposal 2, submitted on behalf of National All-Jersey (NAJ), is 
identical to Proposal 1, except for the automatic update methodology. 
The proposal would update the standards annually using the previous 
year's weighted averages, with a 12-month implementation lag.
    A witness from NMPF, a trade association representing dairy farmer-
owned cooperative marketing associations throughout the United States, 
testified in support of updating the skim milk price milk component 
factors, as contained in Proposal 1. The witness explained how the U.S. 
dairy industry has undergone dynamic structural change since 2000, 
while FMMO product price formulas have

[[Page 57583]]

generally remained static. The witness stated dairy farmers have 
responded to component pricing by significantly increasing the 
butterfat, protein, and other solid levels in their milking herds. 
According to the USDA's National Agricultural Statistics Service 
(NASS), said the witness, average butterfat tests have increased 10.9 
percent from 2000 to 2022, and USDA's Economic Research Service (ERS) 
reported average skim milk solids content of U.S. milk production 
increased 0.31 percent during the same period. The witness said 2022 
FMMO average protein, other solids, and nonfat solids (NFS) in pooled 
milk were 3.39 percent, 6.02 percent, and 9.41 percent, respectively.
    The NMPF witness asserted the static component levels contained in 
the formulas result in underpayments to producers in all FMMO's for the 
value of their Class I skim milk. Therefore, NMPF proposes to increase 
the milk composition factors in skim milk to 2022 levels. The NMPF 
witness analyzed 2013-2022 FMMO product prices and concluded adoption 
of Proposal 1 would have increased the Class III skim price by $0.80 
per cwt and the Class IV skim milk price by $0.41 per cwt. An increase 
from the 2022-based skim milk component factors by the proposed 0.07 
percentage point threshold level, the witness added, would have 
increased the Class III and Class IV prices by $0.14 and $0.07 per cwt, 
respectively.
    Another NMPF witness testified the announced FMMO Class III and 
Class IV skim milk values do not reflect the current component levels 
of producer milk, resulting in announced prices being lower than actual 
market values. The witness said this leads to a misalignment of fluid 
and manufacturing milk, possibly leading to disorderly marketing 
conditions. This occurs because the Class I Mover skim milk price is 
calculated based on skim milk component levels based on 2000 levels, 
narrowing the difference between Class I prices and manufacturing milk 
prices (Classes III and IV) and resulting in more instances of price 
inversions and depooling.
    Several NMPF dairy farmer witnesses testified in support of 
Proposal 1. The witnesses stated improved genetics and feed quality 
have caused component levels in the milk they market to increase. The 
witnesses stated component levels in the pricing formulas should be 
updated to reflect the additional protein produced.
    An NMPF witness testified regarding their work as a business 
consultant with dairy farmers. The witness said dairy farming costs 
have been consistently increasing due to higher feed prices, overall 
inflation, interest rate increases, and rising costs associated with 
labor and environmental regulations. The witness estimated the average 
margin per cwt of milk produced over the past decade was less than $1, 
or approximately 4 to 7 percent of the average milk price. It was the 
witness's opinion that financially sustainable margins are necessary to 
avoid further consolidation in the industry.
    An NMPF dairy farmer witness testified that monthly pay price 
volatility has increased since 2000. According to the witness, in 2000 
their pay price varied $0.52, from a high of $12.95 to a low of $12.43. 
In the 12 months prior to August 2023, the witness said the variance 
was $7.46, ranging from $22.50 to $15.04, while costs continued to 
rise, including the price of corn and soybean meal more than doubling. 
The witness said that during the same 12-month period their milk output 
rose over 10,000 pounds. The witness attributed improvements in cow 
comfort, genetics, and feed quality to the increases in milk output and 
component levels but opined low component standards were depressing 
producer price differentials (PPDs) and discouraging milk from 
supplying the Class I market.
    NMPF, in their post-hearing brief, offered additional support for 
Proposal 1. The brief credited significant advances related to animal 
genetics, farm management, and cow nutrition as contributing to rising 
skim milk component levels. NMPF reiterated hearing testimony regarding 
the static component levels in the formulas leading to a narrowing of 
the difference between Class I and manufacturing milk prices resulting 
in more price inversions, larger volumes of depooled milk, and 
resulting in disorderly marketing. NMPF stated higher skim milk 
component levels have value in the competitive manufacturing dairy 
market, which is the basis for determining Class I values. NMPF stated 
that increasing the skim milk components in the formulas to reflect 
current levels would recognize the current average value of producer 
milk used for manufacturing dairy products and result in a Class I 
price that properly reflects base milk values. Additionally, NMPF 
argued delayed implementation of updated component level factors is 
necessary because of dairy farmers' use of risk management programs. 
Such a delay would allow for the completion of most transactions placed 
prior to announcement of the change.
    A Dairy Farmers of America, Inc. (DFA) witness, appearing on behalf 
of NMPF, testified the failure to delay an update in skim component 
standards would cause financial harm to dairy farmers, milk plants, end 
users, and others who entered into risk-management transactions. DFA is 
a dairy farmer cooperative and owns and operates 14 manufacturing 
plants which produce liquid whey, Italian cheese, skim milk powder, 
whole milk powder, American-style cheese, condensed milk, cream, nonfat 
dry milk, milk protein concentrate (MPC), sweetened condensed milk, and 
dry whey. The witness testified that failure to delay implementation 
would affect the basis, or the profit margin for milk being hedged. The 
witness testified that 35 to 45 percent of the U.S. milk supply was 
hedged by dairy farmers and there is a growing demand for risk 
management services among larger-sized dairies.
    A witness representing the American Farm Bureau Federation (AFBF), 
a farmer advocacy organization with approximately 6 million members 
throughout the U.S., testified in support of Proposal 1. The witness 
estimated that raising the skim component standards would increase the 
Class I price by an average of $0.70 per cwt, based on 2022 data. 
Consequently, raising the skim component standards would help bring the 
Class I, III, and IV prices in alignment, reduce the frequency of 
negative PPDs, and reduce the incentives for depooling, which the 
witness said undermines orderly marketing. The witness stated that 
raising the value of the skim milk in the manufacturing classes for the 
skim and butterfat markets would reduce the incentive of manufacturing 
plants in the multiple component pricing (MCP) orders to pool milk, 
which would lower the producer's price and discourage milk from 
entering a milk deficit region. The witness testified that updating 
component standards would address some price misalignment issues and is 
preferred to prevent handlers from depooling.
    AFBF offered support in their post-hearing brief stating Proposal 1 
would more accurately define the market value of skim milk pooled on 
FMMOs. The brief asserted the resulting increase in Class I prices 
would reduce the incidences of price misalignment with Class III and IV 
prices, reduce the size and frequency of negative PPDs, and reduce 
depooling incentives. AFBF supported periodic adjustments to component 
levels, as contained in Proposal 1, to account for the continuing 
increases in the component levels, but specified these levels should

[[Page 57584]]

only be changed in the positive direction. In AFBF's opinion, more 
frequent updates, as contained in Proposal 2, would be disruptive.
    A witness representing NAJ, an organization representing the 
interests of Jersey cattle breeders, testified in support of Proposal 
2, which proposes the same milk composition levels as Proposal 1, with 
automatic annual updates. The witness said many factors have 
contributed to increased component levels, including improved genomics, 
increased use of gender-selected semen, and volume-based programs such 
as base/excess programs. The witness testified an annual update would 
provide improved accuracy because of the recently accelerated pace of 
component increases and would have better alignment with pricing 
between butterfat/skim and multiple component pricing FMMOs. 
Additionally, the witness stated a 1-year lag on implementing these 
updates would allow for greater risk management which is becoming 
increasingly more important to producers and processors.
    NAJ's post-hearing brief reiterated their support for Proposal 2, 
arguing record evidence shows protein and other solids levels in 
producer milk have progressively and significantly increased since FMMO 
reform in the late 1990s. NAJ stated the trend of higher solids 
components in skim milk was expected to continue due to economic 
signals to producers from component values and improved production 
techniques. NAJ argued amendments of standard skim milk composition 
factors is necessary to help avoid periods of price inversions, 
depooling, undervaluing Class I milk, milk supply inefficiency, and 
disincentives to supply milk for Class I use. NAJ stated a change to 
the skim milk component levels should be announced at least 11 months 
in advance of implementation due to risk management practices used by 
producers and processors. NAJ argued annual updates better serve risk 
management practices because it would lead to smaller incremental 
changes and less adverse impact on risk management contracts with more 
than 12-months open interest at the time component changes are 
announced.
    A witness representing Edge Dairy Farmer Cooperative (Edge), a 
Wisconsin-based dairy milk test verification cooperative, testified in 
support of Proposals 1 and 2. The witness recommended increasing the 
implementation lag to 15.5 months to support longer contract hedging. 
The witness was of the opinion the standard butterfat test also should 
be updated from 3.5 percent to 4.06 percent, the 2022 average butterfat 
for all markets combined as published by the USDA's AMS. According to 
the witness, this would more accurately reflect current butterfat 
levels and better align the butterfat to protein ratio used in the 
formula, ensuring more effective risk management tools, as farmers' 
ability to manage their gross pay price risk would improve.
    Edge, in their post-hearing brief, reiterated hearing testimony 
that failure to adjust the butterfat level when updating skim component 
levels would cause disorderly milk marketing, as it undermines 
effective risk-management tools for dairy farmers. Edge argued that 
without the corresponding change, producers hedging milk revenue using 
risk management products based on Class III milk or Class IV milk 
prices, will tend to be under protected against the decline in 
butterfat prices. Edge added that changing the butterfat level would 
not affect handler obligations to the producer settlement fund, PPDs, 
or uniform producer prices.
    A witness representing the International Dairy Foods Association 
(IDFA) testified in opposition to Proposals 1 and 2, stating that 
updating the component standards would increase the Class I skim price 
by $0.60 per cwt, a value that cannot be recovered in the marketplace. 
IDFA is a trade organization representing dairy manufacturers of milk, 
cheese, ice cream, yogurt, cultured products, and dairy ingredients. 
The IDFA witness testified consumers choose finished Class I products 
based on desired fat level, freshness, and price, not higher nonfat 
solids levels. The witness estimated that updating component levels in 
the formulas would result in manufacturing handlers in butterfat/skim 
FMMOs paying an additional $0.40 to $0.80 per cwt, even though the 
component levels of milk delivered to those plants was less than those 
proposed. The witness cited National Dairy Herd Information Association 
(DHI) data showing 2020 to 2022 average skim protein levels in 
butterfat/skim FMMOs below the levels contained in Proposals 1 and 2. 
The witness attributed the lower observed component levels to the fact 
that producer payments in these orders are made on the basis of the fat 
and skim content of their milk, leaving no financial incentive to 
produce higher component milk.
    A witness from Saputo Cheese USA (Saputo), appearing on behalf of 
IDFA, also testified in opposition of Proposals 1 and 2. Saputo is a 
dairy processor and manufacturer operating 29 plants throughout the 
U.S. The witness said Saputo operates three plants located in the skim/
fat orders, and in 2022 the average NFS level of milk received at those 
plants was 9.1070 percent, which is less than what is proposed in 
Proposals 1 and 2. The witness explained Saputo purchases skim solids 
to add to its skim milk in order to ensure the Class II products it 
manufactures contain the skim solids necessary to meet standard of 
identity requirements for those products. Updating the component levels 
in the formula would only result in Saputo paying for skim solids not 
received, but it would not lower the amount of skim solids Saputo must 
purchase, explained the witness.
    A post-hearing brief submitted by IDFA reiterated its opposition to 
Proposals 1 and 2, arguing that increased component levels have no 
financial benefit or economic value to Class I handlers who would be 
the primary entities impacted by adoption of these proposals. IDFA 
stated the current FMMO system of pricing Class I milk on a skim/fat 
basis versus Classes II, III, and IV milk on a component basis does not 
create disorderly marketing.
    The Milk Innovation Group (MIG) is a group of fluid milk processors 
and producers that market value added dairy based products. MIG's 
members include Anderson Erickson Dairy (AE), Aurora Organic Dairy 
(Aurora), Crystal Creamery, Danone North America (Danone), fairlife, HP 
Hood LLC (HP Hood), Organic Valley/CROPP Cooperative (Organic Valley), 
Shamrock Foods Company (Shamrock), Shehadey Family Foods LLC 
(Shehadey), and Turner Dairy Farms (Turner Dairy). Crystal Creamery is 
a California fluid milk processor producing Class I, II, and IV 
conventional and organic milk products. Danone is a food and beverage 
company operating seven plants in the U.S. Fairlife is a fluid milk 
processor of ultra-filtered lactose free milk, and other high protein 
products. Organic Valley is a dairy farmer-owned organic cooperative 
producing more than 30 percent of the organic milk sold in the U.S.
    Seven witnesses representing MIG, including witnesses from HP Hood, 
Shehadey, Saputo, Shamrock, AE, Turner Dairy, and Aurora, testified in 
opposition to Proposals 1 and 2. HP Hood is a fluid milk processor 
operating five ESL plants and four high-temperature, short-time (HTST) 
plants in the Northeast and California. Shehadey operates four 
manufacturing plants in California, Nevada, and Oregon, producing Class 
I and Class II products. Shamrock is a fluid milk

[[Page 57585]]

processor of HTST and ESL products with processing facilities in 
Arizona and Virginia, and a 20,000-head dairy farm located in Arizona. 
AE is an Iowa fluid milk processor producing both Class I and II 
products. Aurora is a vertically integrated organic milk supplier with 
four organic dairy farms located in Colorado and Texas. Turner Dairy is 
a small fluid milk processor with full or partial ownership of two 
fluid milk plants, as well as a standalone Class II plant, all located 
in western Pennsylvania.
    Six witnesses testified their plants regularly receive milk with 
components below the proposed levels. One witness offered that 
component levels received ranged from 3.09 to 3.63 percent protein, 
5.83 to 6.10 percent other solids, and 8.92 to 9.65 percent NFS. MIG 
members testified that increasing the component levels in the formulas 
would increase their raw milk costs, requiring them to pay for milk 
components not received. One witness stated that adoption of Proposals 
1 and 2 would increase costs between $0.60 and $0.75 per cwt. All MIG 
witnesses claimed that fluid milk processors, even if they did receive 
higher component milk, are unable to convert those higher components 
into additional market revenue as Class I products are sold on a 
volume, not component basis.
    Another MIG witness testified on a survey conducted of MIG members 
plus two additional large grocery retailers who own their own fluid 
milk processing plants. According to the witness, using component data 
from 32 out of the 36 plants surveyed, these plants frequently received 
milk with components below the proposed levels. As data was 
confidential, no specific data was provided. The witness also noted the 
data showed component levels changed due to seasonality and 
geographics, demonstrating inconsistent levels received by plants. The 
witness testified the adoption of Proposals 1 or 2 would raise Class I 
prices and make it more challenging for these plants to recover costs. 
Should USDA decide to change the standard component levels in the 
pricing formulas, the witness testified component minimums should be 
used instead of averages because FMMOs are meant to provide minimum 
prices.
    A post-hearing brief filed on behalf of MIG argued it would be 
disorderly for Class I fluid milk processors, the only mandatory 
participant of FMMOs, to be forced to pay for component levels 
regardless of what is actually received. MIG opined consumers do not 
value additional skim component levels in fluid milk products, 
therefore Class I processors are unable to recoup additional revenue 
out of the market. MIG was of the opinion no record evidence was 
provided at the hearing that the current skim component formula factors 
are causing disorderly marketing and added that although they oppose 
Proposals 1 and 2, if any part of these proposals are adopted there 
should be a 12-month implementation delay.
    A witness representing the CME Group (CME) testified to explain 
various dairy risk management tools offered through the exchange, 
including futures and options contracts. The witness explained the CME 
is a derivatives marketplace offering a range of futures exchanges to 
meet private risk management needs. The witness explained a futures 
contract is a legally binding agreement to buy or sell a standardized 
asset on a specific date or during a specific month. An option on a 
futures contract is the right, but not the obligation, to buy or sell 
the underlying futures contract at a predetermined price on or before a 
given date in the future. The witness stated 97.43 percent of contracts 
in the futures and options market are for 12-month periods, and in a 
previous change to futures contracts there was an 18-month lag on 
implementation to be beyond open interest. The witness testified that 
Dairy Revenue Protection (DRP) is one of many programs that rely on CME 
markets and advocated USDA to consider futures and options markets when 
establishing implementation plans.
    In its post-hearing brief, CME reiterated its neutrality on all 
proposals under consideration. They stated any change modifying the 
current Class III and Class IV formulas would be considered a material 
change affecting current contracts. CME stressed the importance of 
sufficient and transparent notice of any changes.
    A post-hearing brief was submitted on behalf of Select Milk 
Producers (Select), a dairy-farmer owned cooperative which owns and 
operates eight processing plants in Texas, New Mexico, and Michigan, 
manufacturing ESL fluid milk products and a variety of cheese, butter, 
and NFDM products. Select offered support for Proposal 1 and took 
exception to the assertion there is no value in higher protein levels 
in Class I products, as it is belied by the success of specialty fluid 
milk products such as fairlife, and the higher milk solids required for 
California fluid milk. Although Select supported adoption of Proposal 
1, they do not support a delay in implementation, nor the annual update 
as contained in Proposal 2.
    Lamers Dairy Inc. (Lamers), a Wisconsin based HTST fluid milk 
processor, submitted a post-hearing brief in opposition to Proposals 1 
and 2. Lamers stated component levels can vary both regionally and from 
farm to farm. Lamers opined that USDA is statutorily required to 
conduct a study of component levels before any change could be made and 
argued adoption of Proposals 1 and 2 should not be considered.
    New Dairy OPCO LLC (New Dairy), a fluid milk processor operating 
four fully regulated distributing plants (three of which are located in 
the southeastern U.S.), submitted a post-hearing brief in opposition to 
Proposals 1 and 2. New Dairy offered support for arguments made by IDFA 
and MIG that fluid milk processors would be unable to recoup the 
additional cost of components should Proposals 1 or 2 be adopted. They 
purport that charging fluid milk processors for components not actually 
received would be disorderly. New Dairy said raising component levels 
in the formulas would harm its southeastern plants as they pay on a 
skim/fat basis which provides no incentive to producer to increase 
components to match the national average.
    In its post-hearing brief, NMPF opposed the annual updating feature 
contained in Proposal 2. NMPF stated that by limiting changes to the 
standard component levels to a periodic basis and relying on 3-year 
weighted average, Proposal 1 is more likely to produce accurate 
component values and avoid disruption from more frequent changes.

Surveyed Commodity Products

    This rulemaking proceeding considers four proposals, and a modified 
proposal submitted during the hearing, that would add or remove a 
variety of products in the DPMRP survey, which are then reported in the 
National Dairy Product Sales Report (NDPSR) and used to establish FMMO 
classified prices. The proposals are as follows:
    Proposal 3, submitted by NMPF, seeks to eliminate the Cheddar 
cheese barrel price from the cheese price formula.
    Proposal 4, submitted by AFBF, seeks to add Cheddar cheese 640-
pound block price series to the cheese price formula.
    Proposal 5, submitted by AFBF, seeks to add unsalted butter to the 
butterfat and cheese price formulas.
    Proposal 6, submitted by the California Dairy Campaign (CDC), seeks 
to add a price series for mozzarella to the cheese price formula.
    Edge offered a proposal modification during the hearing to adopt 
different weighting methodology which would

[[Page 57586]]

reweigh 40-pound blocks and 500-pound barrels in the DPMRP survey by 
all U.S. cheddar block and barrel production volumes.
    NMPF witnesses from Foremost Farms USA (Foremost), Ellsworth 
Cooperative Creamery (Ellsworth), Land O'Lakes (LOL), and DFA testified 
in support of Proposal 3. Foremost is a cooperative with 850 members 
located in Wisconsin, Michigan, Iowa, Minnesota, Indiana, Ohio, and 
Illinois, and operating eight manufacturing plants producing cheese and 
butter.
    Ellsworth is a Wisconsin-based cheese manufacturer producing a 
significant volume of barrel cheese and a variety of specialized 
cheeses and cheese curds from 250 dairy-farmer members. LOL is a dairy 
farmer-owned cooperative with more than 1,000 dairy farmer members, 
primarily producing butter and cheese.
    The witnesses explained the current cheese price formula includes 
both block and barrel cheese in the computation. They asserted the 
cheese price formula provides for orderly marketing if the difference, 
known as the ``spread,'' in the respective market prices of blocks and 
barrels remains close to the assumed $0.03 per pound cost difference, 
which occurred from 2000 to 2016. However, since 2017 the spread 
between the block and barrel prices has been volatile. One witness 
stated the weighted average spread published in the weekly NDPSR during 
January 2017 through July 2023 was $0.120 per pound, with a much wider 
and more volatile range per pound. The LOL witness opined that the 
DPMRP survey could continue to include and publish prices of 500-pound 
barrel cheese without necessitating its inclusion in the Class III 
protein price calculation.
    An NMPF witness testified the CME block cheddar price is used as a 
pricing index for most cheese produced in the U.S., including cheddar, 
40-pound block, 640-pound block, mozzarella, other American-type 
cheese, and other cheese including cream cheese, and Hispanic cheese. 
They estimated 90 percent of natural cheese produced in the U.S. is 
sold using the CME 40-pound block cheddar price as a pricing index. The 
witness estimated the CME barrel cheese price is used to price only 
about 9 percent of total domestically produced natural cheeses, 
including barrels themselves. They said DPMRP survey volumes of barrel 
cheese between 2013 and 2022 ranged from 44 to 52 percent, resulting in 
an overrepresentation of 500-pound barrels compared to the actual 
volume of cheese that is priced off of barrels. The witness testified 
that since 2017, the significantly wider and increasingly volatile 
block-barrel spread has caused instability in the cheese market. 
Consequently, the witness said, dairy farmer revenue has been reduced 
as the over representation of 500-pound barrels lowered the Class III 
price. The Foremost witness estimated the undervaluation represented $2 
billion since 2017, opining the value would have been greater if not 
for the large volume of Class III milk not pooled in 2020 and 2021.
    The NMPF witness testified eliminating 500-pound barrel prices from 
the Class III price would create more orderly marketing in FMMOs by 
reducing the financial uncertainty for dairy producers and 
manufacturers and ensuring the cheese price in the protein component 
formula represents the single commodity cheddar cheese product. The 
witness described how barrel cheese manufacturers are harmed when they 
must account to the pool at an FMMO cheese price higher than the 
revenue generated from barrel cheese product. The witness said 
eliminating the 500-pound barrels would have increased the Class III 
price by $0.41 per cwt, using average product prices for 2017 to 2022.
    An NMPF witness testified that removing 500-pound barrels had been 
addressed in prior rulemakings, but denied by USDA in the rulemaking. 
However, current market conditions have significantly changed, 
necessitating a re-evaluation. The witness attributed the increased 
volatility in the block-barrel price spread since 2017 to a variety of 
factors, including increased 500-pound barrel production capacity that 
may be due to increasing values of its white whey by-product.
    NMPF witnesses testified eliminating 500-pound barrel cheese from 
the protein component price (PCP) formula would still provide adequate 
volume of cheddar cheese for price discovery purposes as 40-pound block 
cheese surveyed represents approximately 16 percent of total U.S. 
natural cheddar cheese production. The witness also said this 
methodology change would bring the cheese price into conformity with 
the price for butter, NFDM, and dry whey, which utilize only one 
surveyed product for price discovery purposes.
    The witness testifying on behalf of Ellsworth stated 40-pound 
blocks and 500-pound barrels are not interchangeable products. The 
witness said while 40-pound block cheddar has many markets and uses, 
500-pound barrel cheddar is used for processed cheese, a market driven 
by few processors and purchasers. As a result, the witness said, 
surveying barrel cheese prices skews the FMMO cheese price towards a 
smaller market which is not representative of the rest of the cheese 
market. The witness estimated the volatility in the block-barrel spread 
since 2017 cost Ellsworth producers $0.84 per cwt. The witness said 
barrel cheese manufacturers would adjust to the elimination of barrel 
prices from the survey and eventually transition to prices based on the 
40-pound block cheese price.
    Witnesses representing IDFA, Leprino Foods Company (Leprino), and 
Associated Milk Producers, Inc. (AMPI) testified in opposition to 
Proposal 3. Leprino operates nine plants in the U.S., manufacturing 
mozzarella cheese, whey products, and NFDM. AMPI owns and operates 
eight manufacturing plants processing cheese, butter and powdered dairy 
products from member farms in Wisconsin, Minnesota, Iowa, Nebraska, 
South Dakota, and North Dakota.
    The witnesses said sales of both block and barrel cheddar cheese 
are robust and each play a significant role in setting the market value 
of cheddar cheese. They argued eliminating 500-pound barrels would 
reduce by more than half the cheese market price contained in the 
survey and would result in a distorted picture of the total commodity 
cheddar market. The witness said opposition to removing barrels was not 
related to the presumed effect on the Class III price as the NDPSR 
weighted average cheese price (reflecting block and barrel cheese) was 
higher than the 40-pound block price in 9 of 14 years from 2009 to 
2022. One witness opined additional cheddar block plant capacity is 
coming on-line in the next couple of years, increasing 40-pound block 
volumes, and would reduce the block-barrel spread to historical levels 
under normal supply-demand behavior.
    The IDFA witness speculated cheddar barrel manufacturers may opt 
not to pool milk if the barrel price is no longer surveyed because they 
would be unable to garner sufficient market revenue in order to account 
to the pool and the Class III price.
    Two Leprino witnesses testified eliminating 500-pound barrels from 
the Class III price formula removes the product most closely reflecting 
the supply and demand balance. They were of the opinion that removing 
500-pound barrels would both shrink the survey volume and likely result 
in greater production of cheddar blocks as a way to clear the market. 
The witnesses testified this would add volatility to the block market, 
cause unnecessary stress to the U.S. marketplace, and make U.S.

[[Page 57587]]

cheese a less attractive option for global buyers.
    The Leprino witnesses said dropping 500-pound barrels from the 
survey would create a presumption within the Class III formula that all 
cheese, including barrels, would then be priced off blocks. The 
witnesses asserted barrels and blocks have different supply and demand 
functions, and eliminating barrels from the Class III formulas would 
force barrels to be priced off blocks, adding dysfunction to the barrel 
market. The witnesses were of the opinion barrels are the market-
clearing cheese, and instead 40-pound blocks should be eliminated from 
the price formula to be more consistent with the minimum pricing 
provisions.
    In its post-hearing brief, NMPF reiterated testimony regarding 
price differences between 40-pound blocks and 500-pound barrels 
becoming more volatile since 2017. Historically, NMPF wrote, using both 
block and barrel prices in the Class III pricing formula increased the 
volume of cheddar cheese reported in the NDPSR. However, the increased 
price spread has caused instability in the cheese market and reduced 
revenue for dairy farmers as the barrel price is a disproportionately 
large share when compared to its volume in the cheese market. NMPF 
estimated 90 percent of the natural cheese produced in the U.S. is 
priced using the CME 40-pound block price, while the remaining is 
priced off of the CME barrel cheese price. As a result, NMPF wrote, the 
Class III milk price has been undervalued and lowered producer revenue.
    Leprino submitted a post-hearing brief reiterating the important 
balancing function barrels provide and opined removing them would push 
40-pound blocks into the balancing role and would increase price 
volatility for cheddar blocks.
    Select submitted a post-hearing brief in support of Proposal 3, 
arguing 500-pound barrels no longer represent the commodity cheddar 
market and 40-pound blocks are an appropriate commodity to establish 
the protein price. According to Select's brief, current formulas 
dramatically over weights the price of barrels relative to the markets 
actual use barrels and the cheese priced off of them.
    The AFBF submitted a post-hearing brief in support of Proposal 3 
reiterating hearing testimony that barrels represent roughly 50 percent 
of the NDPSR volume but is used to set prices for only 10 percent of 
the cheese in the U.S. market. The AFBF stressed use of barrels in the 
cheddar cheese price formula creates a price not representative of the 
value of 90 percent of cheddar cheese produced.
    IDFA, in their post-hearing brief, opposed Proposal 3 as they 
argued its adoption would make 500-pound barrel production 
uneconomical, resulting in barrel makers going out of business or 
switching to block production which would destabilize the block market. 
IDFA wrote that 40-pound blocks and 500-pound barrels serve materially 
different functions in the market and the failure to include both in 
the survey would distort the commodity cheddar cheese market.
    NAJ submitted a post-hearing brief in opposition to Proposal 3. NAJ 
cited hearing evidence showing the market price of block and barrel 
cheese has diverged significantly since 2017, with barrel cheese priced 
about $0.11 per pound less than block cheese from 2017-2022. NAJ stated 
blocks and barrels have different uses, different buyer markets, and 
limited substitutability. With an expected increase in block production 
in the coming years, NAJ wrote, there may be many months in which 
barrels are more per pound and should remain part of the cheese price 
formula.
    A witness representing the AFBF testified in support of adding 640-
pound cheddar blocks to the Class III formula, as contained in Proposal 
4. The witness said adding 640-pound blocks would expand the volume of 
cheese surveyed and better reflect U.S. block and barrel production 
volumes. The witness was of the opinion there has been a pronounced 
production shift from 40-pound blocks to 640-pound blocks and adding 
640-pound blocks would provide more survey volume to avoid future 
rulemaking to address the dwindling 40-pound block survey volume. The 
witness testified that 40-pound and 640-pound blocks are largely 
interchangeable in price, use, and storage, and therefore it is 
appropriate those prices be reflected in the Class III price.
    A witness representing IDFA testified in opposition to Proposal 4. 
The witness said the DPMRP cheese survey encompassed more than 1.34 
billion pounds of sales in 2022, divided almost evenly between 40-pound 
blocks and 500-pound barrels. The witness testified the data set is 
sufficient to determine prices in the market and, since 640-pound 
blocks typically trade off the 40-pound block price, its addition would 
provide little additional price discovery information. The witness 
opined that only a small percentage of the 640-pound block market would 
meet survey specifications because of the nature of how the product is 
manufactured and sold.
    The two Leprino witnesses argued it would be inappropriate to add 
640-pound blocks as the market is largely make-to-order and the lack of 
equipment to handle 640-pound blocks limits sales to a narrow group of 
buyers. The witnesses noted the 640-pound block market is balanced 
through the cutting down of 640-pound blocks into 40-pound blocks, so 
the 40-pound block cheddar market is already reflected in its pricing.
    A witness representing Glanbia PLC (Glanbia), testified in 
opposition to Proposal 4. Glanbia owns four dairy plants in Idaho and 
partially owns two joint venture plants in New Mexico and Michigan, 
processing 34 million pounds of milk daily into barrel cheese, block 
cheese, whey protein concentrates, proprietary protein blends, and 
lactose. The witness testified Glanbia plants manufacture 40-pound and 
640-pound-blocks, both priced off the CME 40-pound block price and 
opined that adding 640-pound blocks would not add new information to 
the survey.
    A witness representing the Wisconsin Cheese Makers Association 
(WCMA), whose 81 members include cheese manufacturers making 40-pound 
blocks, 640-pound blocks, and 500-pound barrels, testified in 
opposition to Proposal 4. The witness testified the industry uses the 
40-pound block price to price 640-pound blocks, and since 40-pounds 
blocks are already used in the protein formula, adding 640-pound blocks 
would add no new price information.
    A DFA witness representing NMPF, testifying in opposition to 
Proposal 4, said the 40-pound block volume provides an adequate dataset 
and the sole inclusion of 40-pound blocks is sufficient for cheese 
price discovery, making adoption of Proposal 4 unnecessary. The witness 
stated the daily CME cash block cheese market is widely recognized by 
market participants as heavily influencing the price of cheese. The 
witness concluded that because annual CME block cheese traded volumes 
are not as large as NDPSR block survey volumes, the volume of 40-pound 
blocks reported in the NDPSR is more than adequate to determine the 
FMMO cheese price. The witness testified that incorporating 640-pound 
blocks into the NDPSR data set could promote the same disorderly market 
conditions currently observed with the inclusion of 500-pound barrels.
    The AFBF reiterated their support of Proposal 4 in their post-
hearing brief. The AFBF indicated 640-pound blocks are priced 
identically, or nearly

[[Page 57588]]

identically, to 40-pound blocks, and are a standardized commodity 
cheddar cheese product. Including the 640-pound blocks in the NDPSR 
survey, they argued, would help make the survey more robust.
    Select, in their post-hearing brief, expressed support for Proposal 
4 agreeing with proponents that its inclusion would increase DPMRP 
survey volume. Select mentioned that with new cheese processing 
capacity starting in upcoming years in Minnesota, New Mexico, Michigan, 
and Texas, 640-pound blocks would become a larger proportion of the 
commodity cheddar market and it would be prudent to incorporate their 
prices and volume in the survey.
    IDFA reiterated opposition to Proposal 4 in its post-hearing brief. 
IDFA highlighted evidence describing how 640-pound blocks are typically 
made to customer order as there is only a small number of cheese buyers 
who are able to purchase and process them. Since manufacturers of 640-
pound blocks often balance the 640-pound block market by cutting them 
down to 40-pound blocks, IDFA said no new price information would be 
gained from including 640-pound blocks in the survey.
    WCMA also expressed opposition to Proposal 4 in their post-hearing 
brief and wrote that because 640-pound blocks do not have a unique 
price discovery mechanism, they would add no new price information to 
the formulas.
    A witness representing the AFBF testified in support of Proposal 5, 
seeking to add unsalted butter to the DPMRP butter survey. The witness 
said because of the growing volume of unsalted butter production and 
use in the U.S., the DPMRP salted-only butter price collection 
increasingly underrepresents the value of U.S. butter. According to the 
witness, the amount of butter captured by the NDPSR as a percentage of 
total butter production has been declining, from 16 percent in 1999 to 
9.4 percent in 2022. The witness expected this trend to continue 
without the addition of unsalted butter.
    Citing USDA voluntarily graded salted and unsalted butter volumes, 
the AFBF witness said one reason for declining butter survey volumes is 
the increase in U.S. unsalted butter production. The AFBF witness 
testified the exclusion of unsalted butter is unnecessarily restrictive 
for the purposes of the DPMRP survey. The witness cited U.S. butter 
export data showing 2,000 metric tons exported in 2000, to over 65,000 
metric tons in 2022, estimating almost all the exports were unsalted. 
The witness said incorporating unsalted butter prices into the FMMO 
butterfat formula would make the survey more representative of the 
evolving butter market, allow for better market transparency, and 
provide for more orderly marketing of butter and milk. The witness 
claimed salted and unsalted butter are production substitutes, as the 
same production line can be used for both without substantial 
interruption. The witness clarified Proposal 5 is not intended to 
change the current 80 percent butterfat reporting standard for butter, 
and therefore exported unsalted butter at 82 percent butterfat would 
continue to be excluded.
    A witness representing CDC expressed support for Proposal 5, 
without additional testimony. The CDC represents dairy farmers 
throughout California and is a state chapter of the National Farmers 
Union.
    A witness representing IDFA testified in opposition to Proposal 5. 
The witness testified there is no uniform specification for unsalted 
butter, so it is impossible to derive a uniform price for purposes of 
an FMMO pricing formula. The witness explained unsalted butter does not 
store as well compared to salted butter, rendering unsalted butter less 
capable of providing useful uniform price information. The witness also 
testified unsalted butter tends to be priced off the CME Grade AA 
salted butter price, and therefore does not bring any new pricing 
information. As substantial quantities of unsalted butter are exported 
through premium-assisted sales, which would not be included in the 
DPMRP survey, emphasizing unsalted butter should not be relied on for 
determining the market price of butter. Moreover, the witness 
considered the current volume of salted butter reported in the DPMRP to 
be a robust quantity of butter sales.
    A witness representing the Dairy Institute of California (DIC) 
testified in opposition to Proposal 5. The DIC is a trade association, 
representing fluid milk and dairy product processing plants in 
California. The witness asserted most unsalted butter is 82 percent 
butterfat and exported and should be considered substantively different 
from domestically consumed butter which contains 80 percent butterfat. 
The witness referenced a lack of clarity on how subsidies on exported 
butter would be handled in the product price reporting as another 
reason for their opposition.
    A California Dairies, Inc. (CDI) witness, representing NMPF, 
testified in opposition to Proposal 5. CDI is a California dairy 
farmer-owned cooperative with 258 members producing and marketing 41 
percent of California's total milk production and operating six butter 
and milk powder manufacturing facilities in the state. The witness 
disagreed with the assertion that salted butter at 80 percent butterfat 
no longer represents an adequate survey volume. The witness testified 
CDI manufactures both types of butter, and unlike salted butter, 
unsalted butter is manufactured exclusively for customer order. The 
witness argued sales of the two types of butter are not 
interchangeable. The witness stressed the addition of salt allows 
salted butter to be stored for long periods, making it a market 
clearing product, whereas the nature of unsalted butter requires it to 
be sold and consumed in a significantly shorter period of time. The 
witness was of the opinion introducing unsalted butter into the survey 
may result in volatility in the relationship between salted and 
unsalted butter similar to the current volatile relationship between 
40-pound block and 500-pound cheddar barrels. The witness said it was 
preferable to have one product generate the singular commodity 
reference price for purposes of calculating the minimum FMMO prices.
    In post-hearing briefs, the AFBF offered additional support for 
Proposal 5, stating the growing volume of unsalted butter production 
and use in the U.S. markets results in a salted-only butter price 
collection in the NDPSR survey which increasingly underrepresents the 
value of U.S. butter. The AFBF argued the declining trend in butter 
survey volume as a percent of actual production would continue, as 
butter survey volume has fallen from 16 percent of total production in 
the 1999 to 9.4 percent in 2022.
    Select expressed opposition to Proposal 5 in its post-hearing 
brief. Select argued that despite the growth of unsalted butter 
products, it should not be included in the survey because it lacks a 
uniform specification, is typically produced for special orders, has no 
active commodity market, is often made with 82 percent butterfat versus 
80 percent, and is viewed as a higher-value product.
    IDFA's post-hearing brief reiterated their opposition to Proposal 5 
stating the Grade AA salted butter survey volume is robust and the 
product is traded on the CME. IDFA wrote that a majority of unsalted 
butter is exported through government or private assisted sales, such 
as Dairy Export Incentive Program or Cooperatives Working Together, 
which would disqualify such sales from being reported. IDFA also stated 
unsalted butter does not store as

[[Page 57589]]

well as salted butter, making it more likely to be made to order to a 
particular buyer's specifications.
    A witness representing the CDC testified in support of adding 
mozzarella prices to the FMMO cheese price, as contained in Proposal 6. 
The witness was of the opinion adding mozzarella would make the FMMO 
Class III price more reflective of all U.S. cheese production. The 
witness asserted that because the volume of mozzarella production 
significantly exceeds cheddar production it should be reflected in the 
FMMO cheese price to improve price transparency and increase dairy 
farmer revenue. The CDC witness also stated mozzarella production is 
the largest category of cheese produced today and deserves a standard 
specification determined by the volume of mozzarella produced today.
    The CDC witness proposed adding mozzarella to the FMMO protein 
price based on the Van Slyke cheese yield formula, a formula for 
predicting cheddar cheese yields from milk on the basis of its fat and 
casein content. The witness submitted numerous USDA Specifications of 
Mozzarella Cheese for the Department to consider when determining an 
acceptable moisture and fat content of mozzarella cheese to be 
surveyed. The specification detailed requirements for six variations of 
mozzarella types in four forms (loaf, sliced, shredded, or diced). The 
witness testified that 5 to 6-pound loaves of mozzarella would be 
representative of a wholesale commodity mozzarella product and 
reasonable for inclusion in the survey.
    A California dairy farmer testified in support of Proposal 6. The 
witness said including mozzarella in the survey would create a Class 
III price that more accurately reflects the value of the current cheese 
market. The witness attributed the ongoing decline in the number of 
California dairy farms to negative margins and price volatility and 
stressed the urgency in capturing the additional value of mozzarella. A 
Wisconsin dairy farmer also supported inclusion of mozzarella for 
similar reasons.
    A witness representing IDFA testified in opposition to Proposal 6. 
The witness described the difficulty in selecting appropriate 
mozzarella product specifications, yield assumptions, and manufacturing 
costs to include in the formulas whose factors currently reflect only 
cheddar production. The witness also testified the commercial 
mozzarella cheese market contains wide product variability, including 
varying fat and moisture parameters demanded by mozzarella customers. 
The witness testified that unlike bulk cheddar products, mozzarella is 
not a market-clearing product, is often sold to meet the customer 
specifications, is not traded on the CME, and is not storable for 
extended periods.
    Witnesses from Leprino and Glanbia testified in opposition to 
Proposal 6, asserting the proposal lacked critical details making it 
difficult to interpret and evaluate. The witnesses explained the 
equipment, production, and yield difference between mozzarella and 
commodity cheddar. The witnesses said Proposal 6 does not define the 
type of mozzarella to be surveyed or how USDA should address the 
diversity of mozzarella cheese types and packages. The witnesses stated 
significant volumes of mozzarella are manufactured into value-added 
forms, whether as shred, string, or smaller retail or foodservice 
loaves by the primary manufacturer. The witnesses also noted most 
mozzarella is not market-clearing and is stored in refrigerated form 
with limited shelf life reducing its role as a market clearing product. 
The witnesses added that the volume of mozzarella production sold by 
the primary manufacturer in bulk format is comparatively small, in 
contrast to cheddar, in which most shredding, processing into consumer 
packaging, and conversion to other forms is performed by different 
companies rather than the original manufacturer. The witnesses opined 
cheddar remains the most appropriate Class III cheese product.
    Leprino reiterated their opposition to Proposal 6 in their post-
hearing brief. Leprino argued mozzarella cheese is a grouping or 
collection of similar products with diverse specifications, and that 
the assumption mozzarella production volume represents a single defined 
bulk product is incorrect. Leprino further stated mozzarella has 
different manufacturing processes, costs, and product yields. 
Therefore, if mozzarella was added to the Class III pricing formula, 
the formula would become substantially more complicated with little 
incremental benefit.
    A Foremost witness, testifying on behalf of NMPF, testified in 
opposition to Proposal 6, urging USDA to only utilize one commodity 
price series to represent each of the four dairy prices: cheese, 
butter, NFDM, and dry whey, to ensure orderly marketing. The witness 
noted the many mozzarella composition types, and purported deriving a 
40-pound block cheddar equivalent price would be difficult. The witness 
added mozzarella manufacturing costs are different and no data exists 
to determine how those costs should be reflected in the cheese make 
allowance. The witness said including mozzarella pricing into the 
protein price calculation would not enhance price discovery as 
mozzarella prices already move with the 40-pound cheddar market. Other 
NMPF witnesses testified to the appropriateness of limiting the cheese 
price to one survey product, cheddar. Witnesses representing the AFBF 
and WCMA opposed the inclusion of mozzarella due to the lack of 
standard format that could be surveyed.
    Select's post-hearing brief opposed Proposal 6 because no workable 
framework for incorporating mozzarella into the price formula was 
provided on the record.
    IDFA's post-hearing brief reiterated their opposition of Proposal 6 
as mozzarella lacks uniformity in compositional specifications and 
yields and is not traded on the CME. IDFA wrote the U.S. Food and Drug 
Administration (FDA) Standards of Identity provide four different 
variants of mozzarella cheese, with a wide variety of fat and moisture 
levels. IDFA also stated that while proponents advocated use of the Van 
Slyke formula to determine yields, the record lacked evidence as to how 
the formula should be revised to incorporate mozzarella cheese.
    WCMA opposed Proposal 6 in their post-hearing brief. WCMA members 
argued that there is no FDA Standard of Identity for mozzarella and are 
concerned over the vast variety of forms and functionality of each 
mozzarella manufacturer.
    A witness testifying on behalf of the CME offered information 
regarding its dairy futures and options markets which utilize FMMO 
prices. The witness did not appear in support or in opposition to any 
proposal under consideration. The witness testified that the CME dairy 
product portfolio, which began in 1996, includes Class III and Class IV 
milk futures and options, cash-settled cheese, 40-pound block cheese, 
cash-settled butter, NFDM, and dry whey. The witness said the 
relationship between Class III and Class IV milk futures can serve as a 
mechanism to manage both input and output costs and provide the dairy 
trading community with an opportunity to provide liquidity to the 
market while managing risk. The witness testified any changes to FMMO 
formulas, or underlying DPMRP survey methodology could result in a 
material change to the valuation of the contracts. A post-hearing brief 
filed by CME reiterated its hearing testimony and stressed that the 
Department consider the impact to futures and options

[[Page 57590]]

markets when determining the implementation timeframe for any FMMO 
price formula changes.
    A witness representing Edge offered the modified proposal that 
would reweight 40-pound blocks and 500-pound barrels by U.S. production 
volumes, not DPMRP survey volumes. The witness said this alternative 
weighting methodology would reduce the weight of barrel cheese as most 
cheddar cheese is manufactured into blocks. The witness explained that 
since a significant volume of block cheddar cheese does not qualify for 
inclusion in the NDPSR, barrels have a weight disproportionate to their 
true market share of the cheddar market. The witness was of the opinion 
the protein price should primarily reflect the block cheddar cheese 
market as it is estimated 70 to 75 percent of all cheddar cheese is 
produced into 40-pound or 640-pound blocks.
    The Edge witness predicted that the block-barrel spread could 
invert in 2025 due to the growth of block cheese production. The 
witness expects cheese manufacturers who can make either blocks or 
barrels will react to profitable opportunities, thus reducing the 
spread between block and barrel prices by altering their production 
schedules. The witness argued that, given the anticipated trends over 
the next 3 to 5 years, it would be more prudent to reduce the weight of 
barrels today and revisit the topic of removing barrels in 5 years.
    Edge reiterated their support for the weighting methodology in its 
post-hearing brief, as an alternative to eliminating barrel cheese or 
adding 640-pound blocks to the survey. Edge explained that, in 
practice, the Department would survey all barrel cheese production 
volume on an annual basis, including forward contracted cheese volumes, 
to determine the percentage of barrel cheese produced in relation to 
the NASS total U.S. cheddar cheese production estimates. Edge proposed 
the percentage be rounded to the nearest 5 percent, and the inverse 
would be assumed to represent block production. This calculated weight 
would be announced by September 15 and be applicable for the following 
calendar year. Survey prices would then be weighted by these 
percentages to determine weighted average cheese prices.
    IDFA, in their post-hearing brief, opposed Edge's modified 
proposal, arguing that it ignores market clearing, minimum pricing 
principles. IDFA opposed the idea of Class III prices being 
predominantly determined through a 40-pound block cheddar price.
    A post-hearing brief submitted by NMPF opposed Proposals 4, 5, 6, 
and Edge's modified proposal on the grounds the proposals perpetuate 
the problem Proposal 3 seeks to fix, which is to have only one product 
surveyed to determine a wholesale commodity price.

Class III and Class IV Formula Factors

a. Make Allowances
    Proponents submitted three proposals to amend the make allowances 
in the Class III and IV formulas. Proposal 7, submitted by NMPF, seeks 
to update make allowances to the following: cheese, $0.2400; dry whey, 
$0.2300; NFDM, $0.2100; butter, $0.0210. WCMA and IDFA submitted 
Proposal 8 and identical Proposal 9, respectively, to update make 
allowances as described in the below table. The proposals contain a 
four-year implementation schedule with 50 percent of the increase 
implemented in year 1 and the remaining 50 percent implemented evenly 
across the remaining 3 years.

                                       IDFA/WCMA Proposed Make Allowances
----------------------------------------------------------------------------------------------------------------
                     Product                          Year 1          Year 2          Year 3          Year 4
----------------------------------------------------------------------------------------------------------------
Cheese..........................................         $0.2422         $0.2561         $0.2701         $0.2840
Dry Whey........................................          0.2582          0.2778          0.2976          0.3172
NFDM............................................          0.2198          0.2370          0.2544          0.2716
Butter..........................................          0.2251          0.2428          0.2607          0.2785
----------------------------------------------------------------------------------------------------------------

    A former University of Wisconsin economics professor testified 
regarding separate manufacturing cost surveys they conducted on behalf 
of USDA and IDFA in 2021 and 2023, respectively. Each survey collected 
data submitted voluntarily from plants producing commodity cheddar 
cheese, dry whey, butter, and NFDM. The witness previously conducted 
similar surveys used by the Department in determining make allowance 
levels. The witness did not testify in support or opposition to any 
manufacturing allowance proposals under consideration.
    The witness explained that only plants manufacturing commodity 
products meeting DPMRP product specifications were eligible to 
participate. As plant participation was voluntary, the sample of plants 
and respective volumes varied by product and between surveys, with 
increasing cost variation between plants over time. The witness noted 
more observed cost variation across plants can occur due to newer 
automation technology employed in some plants, varying utility costs 
over time, and economies of scale achieved by some plants who negotiate 
input costs. The witness explained that dairy-based raw product costs, 
such as raw milk or purchased cream, are excluded, while costs of non-
dairy ingredients needed to transform the raw milk into a manufactured 
product, such as salt and enzymes, are collected and included in the 
survey results. The witness said costs, such as labor and utility, 
through the product-packaging stage are incorporated, but post-
packaging costs, such as long-term storage or distribution and sales 
costs, are not. The witness explained an economic depreciation factor, 
not consistent with taxable depreciation, is incorporated to cover 
consumed capital, and the asset's return on investment is included to 
capture opportunity costs.
    The witness explained two different methodologies used for 
allocating costs in multi-product plants that could not be associated 
with a specific product (unallocated costs). The witness said the 2021 
survey utilized a degree-of-transformation factor to allocate costs 
based on degree of transformation raw milk must undergo in order to be 
manufactured into the wholesale product. Transformation factors were 
assigned subjectively, based on knowledge of manufacturing processes. 
As a result, the witness said, unallocated costs were weighted towards 
heavily transformed products, such as NFDM, while products undergoing 
less transformation, for example, butter, were assigned a lower portion 
of the unallocated costs. Due to questions from the industry regarding 
this methodology, the witness said the 2023 survey reverted to 
allocating costs on a solids basis, a methodology more familiar to 
industry stakeholders. The

[[Page 57591]]

witness said the 2021 survey showed more variation of costs when 
compared to current make allowance levels, ranging from an 18 percent 
decrease in butter costs to a 75 percent increase in NFDM costs. The 
2023 survey results revealed a more consistent cost change when 
compared to current FMMO levels, ranging from a 65 percent increase in 
NFDM costs to a 72 percent increase in butter costs.
    The witness attributed much of the survey result differences to the 
plant samples. For NFDM, the 2021 survey had 27 participating plants, 
whereas the 2023 survey had 15, with larger average volume per plant, 
according to the witness. For cheese, the 2023 survey included 18 
cheddar cheese plants compared to 10 in the 2021 survey, and the 
witness elaborated that the cheese plants surveyed were much larger on 
average and represented a significant proportion of the NDPSR volume 
when compared to the 2021 survey.
    The witness testified the data on butter highlighted the importance 
of sample composition. Both surveys sampled a similar numbers of butter 
plants, 13 in 2023 and 12 in 2021, and represented roughly the same 
total volume. However, the witness stated the 2023 survey had more 
variation in production volumes whereas in the 2021 survey, butter 
plants were more similarly sized. Finally, the witness testified the 
dry whey surveys had similar numbers of participating plants, 9 in 2023 
and 8 in 2021, but the surveyed volume in the 2023 survey was nearly 50 
percent more than that contained in the 2021 survey.
    NMPF offered Proposal 7 as one option for amending FMMO make 
allowance levels. Eleven NMPF witnesses, representing the manufacturing 
interests of cooperatives, testified in support of Proposal 7. The 
witnesses testified the current FMMO make allowances do not resemble 
manufacturing costs currently experienced in their plants. The 
witnesses provided detailed testimony on the impact of inadequate make 
allowances, which consisted of similar themes. First, they were of the 
opinion inadequate make allowances cause the FMMOs to overvalue raw 
milk. Consequently, the witnesses said many cooperatives have reblended 
cooperative revenues to members as a way of recouping manufacturing 
costs not covered by current FMMO make allowances. Second, the 
witnesses said insufficient make allowances disincentivize plant 
investment, whether it be in current or potential new plants.
    The NMPF witnesses testified the industry lacks consensus on 
reliable data to determine make allowances due to inconsistencies in 
cost allocation and reporting across operations. The witnesses were of 
the opinion the available manufacturing cost surveys are not 
comprehensive or reliable enough to justify large make allowance 
increases. The witnesses all stressed increasing make allowances to 
levels above actual costs could cause untenable financial harm to 
producers, putting many out of business and jeopardizing the milk 
supply. One NMPF witness described how an informal manufacturing cost 
survey of some NMPF members was used in the development of Proposal 7.
    A CDI witness testified regarding the impact insufficient make 
allowances have had on their member farms and six butter and milk 
powder manufacturing facilities. The CDI witness testified the NFDM and 
butter make allowances in Proposal 7 are transformations of the 2021 
survey results, using the combined costs and yields of the two 
products. An LOL witness testified inadequate make allowances have led 
to disorderly market conditions, including lack of investment in 
manufacturing plants to process and balance milk supplies and 
inequitable producer pay prices between producers of different 
cooperatives and between cooperative and nonmember producers.
    An Agri-Mark witness said current make allowances overvalue 
producer milk and make it difficult for cooperatives with manufacturing 
facilities to remain profitable and pay the FMMO blend price. 
Consequently, the witness said, cooperatives must re-blend proceeds in 
order to recoup manufacturing costs, resulting in producer pay prices 
often less than FMMO blend prices. Agri-Mark is a dairy farmer-owned 
cooperative located in the Northeastern U.S. with over 550 members, 3 
cheese manufacturing plants and 1 butter-powder plant in the region.
    A Foremost witness attributed higher operating costs seen in their 
plants to inflation since 2008, adding that in the last 2 years, they 
have experienced particularly acute price increases in all categories. 
A witness representing FarmFirst Dairy Cooperative (FarmFirst), a 
cooperative operating in the Upper Midwest with 2,600 dairy farmer 
members, testified negotiated over-order premiums have diminished by 24 
percent since 2020 due to their processor's compressed margins, partly 
a result of inadequate make allowance levels. In addition to reducing 
premiums, the FarmFirst witness attested the current make allowances 
overvalue producer milk and have contributed to an oversupply of milk 
in the Upper Midwest, resulting in milk dumping, negative PPDs, 
depooling, and milk selling at below Class III prices.
    A Northwest Dairy Association (NDA) witness testified in support of 
Proposal 7. NDA is a dairy farmer-owned cooperative located in the 
Pacific Northwest with approximately 295 members, whose subsidiary 
(Darigold) operates 5 fluid milk bottling plants and 7 manufacturing 
plants making butter, cheese, dry whey, and dry milk products. The 
witness testified Darigold's manufacturing costs increased 80 percent 
between 2008 and 2022. The witness said inadequate or delayed 
investment in manufacturing plant capacity increases transportation 
costs, which are borne by producers, since milk must be shipped farther 
distances to find an available manufacturing market. A witness 
representing Maryland and Virginia Milk Producers Cooperative, Inc. 
(MDVA), a dairy farmer-owned cooperative located in the Mid-Atlantic 
that operates three pool distributing plants and two pool supply plants 
manufacturing bulk butter and NFDM, testified costs had increased 
compared to 2008 levels, with NFDM conversion costs increasing 64 
percent over the period. According to the MDVA witness, Proposal 7 
would reduce, but not eliminate, the manufacturing losses incurred in 
balancing their milk supply. A witness representing Lone Star Milk 
Producers (Lone Star), a dairy-farmer owned cooperative marketing milk 
on the Appalachian, Southeast, Central, and Southwest FMMOs, testified 
that manufacturing costs at their butter and NFDM plant have risen 
since commencing operation in 2017. A witness representing Ellsworth 
testified to the increasing costs of production at their cheese and dry 
whey operation. Lastly, a DFA witness testified in support of Proposal 
7 and provided dairy farm cost of production data, arguing this data 
should be considered when determining make allowances.
    A dairy economist from the University of Missouri, appearing on 
behalf of NMPF, testified on the estimated economic impact of Proposal 
7. Using an econometric model, the witness estimated the proposed make 
allowances would lead to a $0.30 decline in the All-Milk Price and a 
200-million-pound milk production decline in the first year of 
implementation, with a further milk production decline of 400 million 
pounds in the second year. In the long run, the witness forecasted the 
decline in the All-Milk Price would

[[Page 57592]]

moderate to $0.04 as markets adjusted to lowered milk production.
    A dairy farm accountant, testifying on behalf of NMPF, presented 
various statistics related to their dairy farmer clientele. The witness 
testified average total income from their clients' operations was $5.50 
per cwt in 2022, with a break-even milk price of $19.78 per cwt. The 
witness said the average net income from 2006 to 2023 was $1.23 per 
cwt, on an average milk production of 995,115 cwt, yielding an average 
net income of approximately $1.2 million. The witness later stated that 
a 3,300-milking cow herd would require an investment of approximately 
$40 million.
    An economist from Cornell University, testifying on behalf of NMPF, 
testified on the topics of dairy farm profitability, cost of production 
measures, and farm data from the Cornell Dairy Farm Business Summary, 
Michigan State University, and the University of Wisconsin. The witness 
warned that setting make allowances ``too high'' would lead to 
unwarranted investments in processing facilities while setting make 
allowances ``too low'' would lead to insufficient plant investments and 
cooperative deductions on member milk checks.
    Numerous dairy farmers testified in support of Proposal 7, 
recognizing the need for increased make allowances despite what they 
acknowledge would be a decrease in FMMO producer prices. These 
witnesses testified to recent decreased farm margins due to a declining 
All-Milk Price, falling net pay prices, higher feed costs, and 
increased production costs, leading to near negative operating incomes. 
The witnesses said that while make allowance increases would hasten 
this trend, Proposal 7 accounts for these factors, balancing producer 
and processor needs. Multiple witnesses expressed doubt in the 
available manufacturing cost survey data due to its voluntary and 
unaudited nature, as well as observations of cheese manufacturing 
profitability and continued investment.
    Dairy farmer witnesses testified that inadequate make allowances 
have disadvantaged dairy farmer-members of cooperatives who own 
manufacturing plants compared to dairy farmer-members of cooperatives 
who own no plants. Several dairy farmer witnesses said that the 
prevalence of market adjustment deductions from their member milk check 
signifies negative returns on the cooperatives manufacturing assets due 
to inadequate make allowances. Another dairy farmer testified 
processing costs for Agri-Mark's four manufacturing plants producing 
cheese, butter, NFDM, and whey have increased by an average of 20 
percent since 2008, and insufficient make allowances have resulted in 
deductions to member milk checks to cover processing costs. According 
to the Agri-Mark witness, this has led to disorderly market conditions, 
which impair plant investment and disadvantage cooperative members. A 
CDI dairy farmer witness testified to the financial difficulties of 
operating CDI's balancing plants given current make allowance levels.
    A witness representing the Milk Producers Council (MPC), an 
organization representing California dairy farms, testified Proposal 
7's proposed make allowances balance producer and processor needs. The 
witness said the cost survey information entered into evidence is of 
limited value due to its voluntary, unaudited nature and the lack of 
transparency in cost allocation for multi-product plants. The witness 
argued differences between the All-Milk Price and the Mailbox Price 
indicates a need for increased make allowances and a guideline to the 
resulting impact on producer pay prices, currently estimated at $0.75 
per cwt.
    In its post-hearing brief, NMPF reiterated its arguments for 
adopting the make allowance levels contained in Proposal 7, writing it 
is the only option accounting for an increased cost in manufacturing 
while protecting producer pay prices. NMPF stated there has never been 
a make allowance adjustment greater than $0.35 per cwt, and the changes 
contained in Proposal 7 would decrease farmer milk prices by 
approximately $0.50 per cwt.
    NMPF presented in its brief the aggregated costs cooperatives with 
manufacturing capacity shared on the record, to emphasize the increases 
across cost categories since make allowances were last updated. While 
the need to update make allowances to reflect higher costs is 
necessary, NMPF stated the data on the record is not sufficiently 
comprehensive, verifiable, or unambiguous to determine make allowances 
above those offered in Proposal 7. In its post-hearing brief, Agri-Mark 
reiterated support for Proposal 7 as the most balanced approach to 
updating make allowances, despite acknowledging the proposed levels are 
not sufficient to cover all manufacturing costs.
    Opponents to Proposal 7, primarily representatives for IDFA or 
WCMA, echoed similar concerns from cooperative manufacturers regarding 
inadequate make allowances, claiming the inability to recover 
manufacturing costs on wholesale commodity products has led to a lack 
of investment in manufacturing capacity. These witnesses testified on 
the importance of make allowances fully covering manufacturing costs, 
rather than a portion of costs as proposed in Proposal 7. Witnesses 
testified that continued capital investment in plant yield and 
efficiency gains have not fully countered the effects of insufficient 
make allowances as costs have continued to increase. Without make 
allowances accurately reflecting costs, the witness said, manufacturers 
receive inaccurate financial signals, which impact investments, capital 
distribution, and FMMO pooling decisions. Additionally, they said the 
competitive advantage gained by manufacturing plants not regulated by 
an FMMO lead to more investments into operations unaffiliated with the 
FMMO system. Only an increase in make allowances reasonably covering 
commodity product manufacturing costs, according to these witnesses, 
can counteract these effects.
    In its post-hearing brief, IDFA reiterated opposition for Proposal 
7, writing that the proposed make allowance levels are inadequate and 
not grounded in observed data. IDFA stressed that make allowances are 
defined as covering the entire cost of converting raw milk to a given 
dairy product, not a portion. In its brief, IDFA pointed to NMPF's 
recognition that Proposal 7's make allowances do not fully cover actual 
costs but instead represent a balance dairy farmers can withstand. IDFA 
objected to the consideration of farm production costs when determining 
make allowance levels. IDFA reiterated FMMOs are not a price support or 
income support program, and the prices must reflect the market price of 
end-dairy products. IDFA explained manufacturers cannot raise the 
prices of commodity dairy products to offset higher manufacturing costs 
because the wholesale prices are captured in the NDPSR and would raise 
the reference price by the same amount. AMPI reiterated in its post-
hearing brief opposition for Proposal 7 as failing to reflect 2022 
manufacturing costs. AMPI argued that USDA should not delay increasing 
make allowances on the possibility that legislation will give USDA the 
authority to conduct a mandatory audited survey.
    A witness from DIC testified in support of Proposals 8 and 9. The 
witness testified that setting minimum prices too high incentivizes 
excess milk production, while a low minimum price through higher make 
allowances allows for over-order premiums to set a competitive market 
price. The witness

[[Page 57593]]

argued Class III and IV prices should allow manufacturing plants to 
clear the market and operate profitably.
    The DIC witness entered data concerning its 2022 California dairy 
manufacturing cost forecast (2022 CA Forecast). The witness testified 
the 2022 CA Forecast used a combination of 2003-2016 California 
Department of Food and Agriculture (CDFA) data, state and national 
indices, and market developments to measure how changes in labor, 
utility, and other costs historically moved the actual CDFA cost data. 
The model then used that information to forecast California-specific 
2017-2022 manufacturing costs, according to the witness. The witness 
said while the model forecasts costs, the range of actual costs around 
those forecasts could be relatively wide given the relatively few 
observations (14 years) used to estimate the model. For example, the 
expert witness elaborated that CDFA only collected dry whey costs until 
2006, when they surveyed fewer than three dry whey plants, which is why 
the CA analysis did not forecast dry whey costs. The DIC witness opined 
the best approach to determine manufacturing allowance levels is using 
observed cost data but offered the 2022 CA Forecast as another 
methodology for use with the other cost surveys and testimony 
presented.
    An IDFA witness testified in support of Proposals 8 and 9, stating 
make allowances should be updated to reflect increased costs in 
manufacturing dairy products. The witness said that while end-product-
prices change monthly to reflect the current market, make allowances 
are fixed at 2006 cost levels, forcing dairy manufacturers to lose 
money or stop production. The witness stressed the need for relief from 
the current inadequate make allowances that do not reflect rising 
industry costs, adding losses are not sustainable for plants or dairy 
farmers who depend on these manufacturing outlets for their milk. The 
witness explained IDFA's proposed make allowances are simple averages 
of the 2023 survey and 2022 CA Forecast plus a $0.0015 marketing cost.
    The IDFA and WCMA witnesses asserted accurate make allowances need 
to be adopted quickly as current make allowances are based on 2005/2006 
cost data. The IDFA witness clarified their staggered implementation 
proposal, which would implement proposed year 1 levels shortly after 
the final decision is published. Both IDFA and WCMA witnesses said the 
staggered implementation is designed to recognize the impact 
significant make allowance increases would have on producer prices. 
However, if there is any delay in implementing changes, both witnesses 
stressed the staggered implementation approach should be abandoned and 
the proposed year 4 levels should be implemented.
    The WCMA witness stated the use of audited California manufacturing 
cost data in the 2022 CA Forecast should alleviate any data validity 
concerns and the 2023 survey methodology follows precedent used to 
determine the current make allowance levels. The witness noted the risk 
of using a simple average of the 2022 CA Forecast and the 2023 survey 
to determine proposed make allowances is the potential of the result 
being skewed towards California costs, since California plants are 
represented in both surveys.
    A dairy farmer witness, who is a member of AMPI, testified on 
behalf of IDFA and expressed support of Proposals 8 and 9. The witness 
testified that AMPI, who participated in the 2023 survey, experienced 
cheese manufacturing costs close to the study average despite plant 
sizes that were smaller than the survey average plant size. The witness 
said their manufacturing costs of bulk cheese products are 47 percent 
higher and general plant expenses are up 62 percent in 2022, compared 
to 2008.
    Several dairy manufacturer witnesses representing Hilmar Cheese 
Company (Hilmar), Glanbia, Saputo, and Leprino testified in support of 
Proposals 8 and 9. Hilmar is a cheese and whey manufacturer with 
processing locations in California and Texas. These witnesses testified 
dairy processing costs have increased, particularly of late because of 
inflation, noting Hilmar's natural gas costs were 45.1 percent above 
the 20-year average. The Saputo witness echoed testimony on increasing 
costs, citing the St. Louis Federal Reserve data series for labor, 
energy, packaging, and maintenance costs. The witness said these costs, 
comprising 20 percent of the total cost to manufacture a finished 
cheese product, rose 60 percent, on average since 2006. According to 
the witness, Saputo's manufacturing costs align with the 2021 and 2023 
survey results. The Hilmar witness testified their manufacturing cost 
increases correlate with the results of the 2022 CA Forecast. The 
Leprino witness stated the 2021 survey and 2023 survey had robust 
participation, and the 2022 CA Forecast, which used CDFA audited 
mandatory data, leveraged a widely accepted statistical modeling 
approach. All four witnesses stressed the urgency of updating make 
allowances. The manufacturer witnesses generally agreed that inaccurate 
make allowances distort pricing signals for farmers, processors, and 
ultimately consumers.
    Witnesses representing Nasonville Dairy and Cedar Grove Cheese, two 
proprietary specialty and commodity cheese manufacturer members of 
WCMA, testified to rising manufacturing costs by outlining costs in a 
similar manner to the 2021 and 2023 surveys. According to the 
witnesses, their costs have risen $0.3226 and $0.77 per pound, 
respectively, far beyond the fully implemented Proposal 8 levels. The 
witnesses testified that insufficient make allowances negatively impact 
cheese processing investments and increase the production of higher-
cost specialty products unable to play the same balancing or 
foodservice roles as commodity products. They added current make 
allowance levels impair the ability of proprietary manufacturers to 
participate in the FMMO pool and deprives producers the benefits of 
having their milk pooled.
    In their post-hearing briefs, WCMA and IDFA reiterated their 
support for Proposals 8 and 9. IDFA wrote that USDA has consistently 
set make allowances to reflect the most recent and reliable actual cost 
data, using multiple surveys, as in Proposals 8 and 9. Further, IDFA 
stressed in its brief the 2023 survey is the most robust of all of the 
author's previous surveys used to set make allowances. IDFA refuted the 
notion the 2022 CA Forecast is inappropriate to use for determining 
make allowances, explaining the underlying data is robust audited 
California manufacturing data and the econometric techniques are widely 
accepted. IDFA contended that the 2022 CA Forecast and 2023 survey 
averages are lower than the cooperative manufacturing costs shared on 
the record. Even if inflation has subsided since 2022, IDFA added in 
its brief, there would have to be deflation to arrive below pre-2022 
levels.
    IDFA clarified in its brief the proposed schedule for phasing in 
make allowance changes, which is designed to accommodate farmers. When 
addressing implementation timing, IDFA refuted the CME's points about 
incorporating risk management in the timing of implementation, arguing 
that CME's interests do not necessarily align with those of the broader 
dairy industry because of the fee revenue they generate.
    In its brief, IDFA emphasized the destabilizing effect of current 
make allowances on processors and farmers. IDFA shared charts from the 
hearing, showing how the Mailbox Price is in close proximity to FMMO 
blend price,

[[Page 57594]]

which it says indicates FMMO prices are too high. IDFA refuted NMPF's 
argument that Proposals 8 and 9 will result in a $1.42 per cwt decrease 
in the All-Milk Price because FMMO prices are minimum prices and don't 
reflect premiums received. Further, IDFA wrote in its brief that dairy 
farmers whose cooperatives own processing facilities are receiving 
depressed prices when make allowances are too low.
    IDFA said the best method to update make allowances is through a 
mandatory and audited USDA survey; however, USDA does not currently 
have the authority and IDFA estimates it would take approximately five 
years before new make allowances could be adopted once the authority 
was granted. IDFA reiterated arguments that make allowances under-
representing actual costs harm both dairy farmers and manufacturers.
    In its post-hearing brief, AMPI reiterated support for the make 
allowance levels in Proposals 8 and 9, contending they accurately 
reflect the changes in costs. AMPI added it supports immediate 
implementation, rather than the phased 4-year approach. AMPI wrote the 
2023 survey had the largest product volumes of any previous surveys and 
highlighted other manufacturing cooperative testimony describing 
increased manufacturing costs. AMPI opined continued high manufacturing 
costs and farm bill delays have made make allowance updates more 
urgent.
    Leprino's post-hearing brief reiterated its support of Proposals 8 
and 9, emphasizing the importance of implementing make allowance 
changes immediately. Leprino stressed 2023 cost levels have continued 
to climb and offered its own updated cost increases, compared to 2022: 
11 percent for labor, 17 percent for property insurance, and 9 percent 
for liability insurance.
    A witness representing the AFBF testified in opposition to 
Proposals 8 and 9, opining the 2021 and 2023 survey data may be biased 
due to its unaudited nature and the known potential to be used for 
rulemaking, stating the incentive to overestimate reported costs for 
commodity goods disqualifies this voluntary data. The witness testified 
only the 2016 CDFA survey results can be verified as accurate enough to 
be used for determining make allowances. According to the witness, the 
relatively complicated 2022 CA Forecast model using a small number of 
observations (14 years) to forecast 2022 costs (6 years out from the 
actual data) could be overfitted to the 2000-2016 data and unreliable 
to predict future costs.
    Numerous dairy farmer witnesses testified in opposition to 
Proposals 8 and 9, focusing on the negative effect significant make 
allowance increases would have on producer pay prices. A DFA farmer 
witness from New Mexico testified the make allowance increases 
contained in Proposals 8 and 9 would result in negative operating 
income over the next 10 years, making continued operation of their farm 
unsustainable. The witness said any make allowance increases would 
severely and disproportionally impact producers in the southwest due to 
the share of milk going into manufacturing products. A LOL dairy farmer 
testified significant increases in make allowances would be difficult 
for farms in California to absorb, where water scarcity has led to high 
forage costs. According to the witness, large make allowance increases 
would put adequate milk supply at risk, all the while guaranteeing 
profit for commodity manufacturers and leading to over production of 
manufactured dairy products.
    Two dairy farmer witnesses, a member of the CDC and a small 
Maryland dairy farmer, testified against increases in make allowances 
due to the impact on producer pay prices and lack of accounting for 
dairy farm production costs. According to the witnesses, while 
processors can pass on costs to customers up the supply chain, producer 
margins are too thin to sustain substantial price decreases from 
increased make allowances. The witnesses testified that further 
declines to producer margins will cause more producer exits and 
disruption to the milk supply. A dairy farmer representing Edge 
testified any change in make allowances should require a 15.5-month 
delay, be restrained by the impact on producer pay prices, and cover 
only the most efficient plants.
    In its post-hearing brief, NMPF reiterated its arguments in 
opposition to Proposals 8 and 9. NMPF argued that these proposed 
changes would decrease dairy farmer milk prices by approximately $1.45 
per cwt, further narrowing producer margins and causing disorderly 
marketing.
    NMPF cited ongoing plant investment as an indication current make 
allowances are not too low as portrayed by proprietary manufacturers. 
NMPF emphasized proprietary manufacturers are not required to be 
regulated and, thus, can choose not to participate in the FMMO and 
avoid paying minimum prices they contend are too high because of 
inadequate make allowance levels. NMPF opined about the lack of 
evidence to merit raising make allowances to levels contained in 
Proposals 8 and 9.
    In its brief, NMPF refuted the studies used as a basis for 
Proposals 8 and 9. NMPF cited hearing testimony regarding the 
insufficiency of some plant sample sizes in the 2023 survey. Further, 
NMPF argued the 2023 survey does not capture how manufacturing costs 
are skewed by plants that serve a balancing role. NMPF stated if make 
allowances are set too high, balancing plants would be incentivized to 
run at maximum capacity, rather than running at less than full capacity 
to provide critical balancing services to the market. NMPF voiced 
concerns with the 2022 CA Forecast, noting the proposed make allowances 
in Proposals 8 and 9 are duplicative since the 2023 survey included 
California data. Further, NMPF opined that the 2022 CA Forecast is of 
little utility as it did not account for basic changes to the 
California dairy manufacturing sector since 2016, such as plant 
openings and closings and productivity improvements.
    In its post-hearing brief, Select also opposed Proposals 8 and 9, 
on the basis of the 2022 CA Forecast being inappropriate to use in 
determining make allowances. Select echoed NMPF's argument that use of 
the forecast would be duplicative of California data. Further, Select 
argued indexing does not account for improvements to plant efficiencies 
and the Department has not previously used indexing to determine make 
allowances.
    In its brief, the AFBF opposed any increase to make allowances, 
instead advocating they only be increased once a mandatory, audited 
cost survey was administered by the Department. The AFBF opined that 
both the 2021 and 2023 surveys were biased because there was a clear 
intention the surveys would be used in a rulemaking proceeding. The 
AFBF opposed the use of indexing to set make allowances, as was done in 
the 2022 CA Forecast, because it fails to recognize productivity 
improvements over time. The AFBF echoed other brief arguments that 
continued processor investment is evidence that make allowances are not 
too low.
    The Midwest Dairy Coalition (MDC), an alliance of six dairy farmer-
owned cooperatives operating in the Midwest, filed a post-hearing brief 
stating make allowance updates are long overdue, but took the position 
the Department should be granted legislative authority to conduct a 
mandatory and audited cost survey. MDC did not offer support or 
opposition to any make allowance related proposals. In its post-hearing 
brief, Edge also did not support or oppose any make allowance related

[[Page 57595]]

proposals but cautioned against setting make allowances too high. Until 
there is a mandatory and audited USDA-administered survey, Edge stated, 
the Department should err on the side of caution to not subsidize 
commodity manufacturing.
    In its post-hearing brief, Select offered an alternative 
methodology for determining the make allowance levels using what Select 
argued was the most reliable record data. Select suggested taking the 
average of the 2021 survey and 2023 survey, subtracting the current 
make allowance level, and taking half that difference to add to current 
make allowance levels. As a result, Select proposed the following: 
cheddar cheese, $0.2281; butter, $0.2004; NFDM, $02260; and dry whey, 
$0.2498.
    In its post-hearing brief, CME noted any make allowance changes 
would be considered material changes, and USDA should consider an 
implementation timeframe that mitigates risks to those involved in 
futures and options trading.
b. Yield Factors
    Submitted by Select, Proposal 10 seeks to amend the cheese price 
formula by increasing the butterfat recovery rate in the cheese yield, 
from 90 to 93 percent. A Select witness testified in support of 
Proposal 10 and clarified a butterfat recovery rate of 93 percent would 
also necessitate an increase in the butterfat yield factor in the 
protein price formula from 1.572 to 1.624. According to the witness, 
these changes would result in a modest increase in the Class III price, 
estimated at $0.04 per cwt. The witness stressed USDA should not be 
guided by price impacts but rather by achieving formulas to better 
reflect manufacturing realities and the actual value of raw milk. 
Select reiterated support for this proposal in its post-hearing brief.
    An independent expert witness, retained by Select, testified 
advancements in vat technology, coagulants, and curd handling have 
enabled manufacturers to achieve recovery rates higher than the 
currently assumed 90 percent. The witness described how modern, 
horizontal vats attain butterfat recoveries far exceeding both open and 
enclosed horizontal vats, and how most commodity cheddar manufacturers 
use advancements in coagulants and curd handling to attain greater than 
93 percent butterfat recovery. Additionally, the witness said, whey 
cream can be reintroduced into the cheesemaking vat to increase cheese 
yield and revenue, ultimately increasing butterfat recovery.
    The AFBF wrote in its brief that it also supports Proposal 10 to 
increase the butterfat recovery factor. The AFBF pointed to evidence on 
the record of increasing plant efficiencies, justifying updating the 
butterfat recovery factor to the level in Proposal 10.
    Six witnesses, representing Glanbia, Leprino, IDFA, CDI, DIC, and 
MPC, testified in opposition to Proposal 10. The Glanbia witness 
described a broad range of industry fat recovery based on plant age and 
processing techniques, and acknowledged many modern plants, including 
Glanbia plants, can achieve 93 percent cheddar fat recovery. The 
witness testified Proposal 10 is being offered to enhance prices while 
ignoring other parts of the formula that overvalue milk. The witness 
contended lost solids within the manufacturing plant and the discounted 
price of whey cream, should they be considered, outweigh the effects of 
Proposal 10 on milk prices. The Leprino witness testified any changes 
to the yield factor should only occur after a comprehensive review of 
all yield assumptions. The witness agreed 93 percent butterfat 
retention is achievable in some plants but does not believe it is 
possible across the entire industry.
    The IDFA witness contended Proposal 10 takes a piecemeal approach 
to changes in the yield formula and selectively focuses on dairy farmer 
revenue enhancements only. The witness opined whey cream is overvalued 
in the current formula, as butterfat not going into cheese is currently 
valued as Grade AA butter despite regulation that whey cream cannot be 
used in Grade AA butter. The witness claimed whey cream is discounted 
20 percent or more compared to fresh cream. In addition, the witness 
said in-plant milkfat losses are not recognized in the current formula, 
something that should be considered when evaluating yield factor 
changes. The witness testified any decreases in the Class III prices 
that result from accurately accounting for both processing losses and 
whey cream values would more than offset the increases in Class III 
prices proposed by Select.
    A witness from the Center for Dairy Research (CDR), appearing on 
behalf of IDFA, testified to observing improvements in butterfat 
retentions over the past 40 years, mostly due to improved vat design 
and technology. The CDR, with a dairy plant on the University of 
Wisconsin-Madison campus, supports the U.S. dairy industry with 
expertise in cheese, dairy ingredients, cultured products, dairy 
beverages, quality/safety, and dairy processing. The witness noted a 
range of butterfat losses at the cutting stage including 9 to 10 
percent fat loss in open vats, 7 percent fat loss in Double O vats, 6 
percent fat loss in horizontal vats, and 5 percent fat loss in modern 
vats. The witness testified that while large modern plants are 
installing newer, more efficient vats, old, less efficient vats are not 
leaving production, and are being repurposed and installed in medium 
and small plants throughout the country. The witness noted there is 
still a large variety of vats being using in the industry, and stressed 
the latest vat design does not ensure optimal butterfat retention, as 
the experience of the cheesemaker and product handling practices could 
also lower butterfat recovery.
    Based on current observations and work within the industry, the CDR 
witness provided best estimates for fat recoveries in cheddar 
cheesemaking as 91 to 93 percent retention in well-run factories with 
modern vats, 90 to 92 percent retention in well-run factories with 
vertical Double O vats, and 88 to 91 percent retention in factories 
with open vats. The witness said, based on their experience, 91 percent 
could be considered the industry average butterfat recovery for cheddar 
cheese plants.
    A CDI witness, appearing on behalf of NMPF, testified to the lack 
of yield data available to support the proposed recovery rate contained 
in Proposal 10. The witness supported a tempered update to the cheese 
make allowance that does not include an update to the yield factor. A 
witness representing DIC testified the current 90 percent butterfat 
recovery rate is reasonable because, despite some newer, more efficient 
plants achieving higher fat recovery, older plants may not be able to 
achieve the higher rates. The DIC witness stated fat recovery data is 
lacking across the industry and further asserted the current 90 percent 
butterfat recovery should be retained. The witness representing MPC 
testified the current formula should remain in place until the industry 
tackles the mechanics of the Class III formula, and the big issue is 
how butterfat not being retained in the cheesemaking process is valued.
    A witness representing AMPI provided testimony supporting the 
improvement seen in butterfat recovery due to new vat technology. The 
witness said AMPI installed cheesemaking equipment that facilitates the 
recovery of fat; however, they did not provide specific data.
    Submitted by Select, Proposal 11 seeks to eliminate farm-to-plant 
shrinkage from the yield factors in the FMMO Class III and IV price 
formulas. A witness appearing on behalf of Select testified USDA's 
decision to include

[[Page 57596]]

shrinkage in the formula was premised on the concept that such losses 
were not in the handler's control and are unavoidable and common. The 
Select witness was of the opinion producers, cooperatives, and handlers 
do have the ability to address and stem losses in the transportation of 
milk from the farm to the plant. The witness said historically, as the 
number of farms on a milk route increased, the probability for 
discrepancies between farm weights and plant weights also increased, as 
each stop offered potential for spillage, loss within piping, and 
errors in measurement. The witness shared statistics on the increasing 
size of U.S. dairy farms, stating that in 2016, three-quarters of all 
U.S. milk production came from farms that could fill a full tanker, 
whereas in 2000, less than half of U.S. production came from farms 
filling a full tanker. The witness estimated 80 percent of the current 
milk volume in the U.S. comes from farms able to fill full tankers on 
every-other-day pickup schedules. Consequently, said the witness, the 
occurrence of shrinkage is decreasing. As an example, explained the 
witness, Select's members are large enough to ship full tanker loads of 
milk, meaning Select does not experience the same risks of milk loss 
which occur on multi-stop routes.
    Other than milk losses occurring with hoses, the Select witness was 
unaware of any inherent, unavoidable, farm-to-plant losses that could 
occur within the pick-up process. The witness said even farms without 
the ability to fill a tanker can adopt farm scales, flow measurement, 
and other technologies to minimize imprecision and inaccuracy. The 
witness testified the cost of implementing these improvements would be 
offset by the anticipated price impacts of adopting Proposal 11, which 
the witness estimated to be $0.07 per cwt.
    A second Select witness presented an analysis of Select plant data 
from August 2022 to July 2023, representing 171,240 milk shipments and 
a total of 9.8 billion pounds. The witness stated approximately half of 
their customers do not report plant weights back to Select. For those 
plants who do report, the witness said reported plant weights exceeded 
farm weights about half of the time. The witness stated non-shrink 
factors, such as scale calibration or weather, typically cause the 
large discrepancy between farm and plant weights. The witness concluded 
that for the subset of loads where differences occurred between farm 
and plant weights, the net variance across all loads was less than 0.1 
percent.
    A witness testifying on behalf of Continental Dairy Facilities 
(CDF) and Continental Dairy Facilities Southwest (CDF SW), two wholly 
owned subsidiary plants of Select in Michigan and Texas, manufacturing 
NFDM, butter, and buttermilk powder, presented farm-to-plant loss data 
to support Proposal 11. The witness analyzed farm-to-plant losses in 
milk deliveries to the two CDF facilities from August 2022 through July 
2023, comprised of both single and multi-farm pickups. The witness 
stated in total, plant weights averaged 0.15 percent lower than farm 
weights for CDF and 0.10 percent lower for CDF SW. The discrepancies 
ranged from a negative 0.32 percent (plant weights were 0.32 percent 
lower than farm weights) to 0.67 percent (plants weights were 0.67 
percent lower than farm weights). Since many of the non-Select 
shipments to CDF are multi-farm pickups, the witness said management 
for farm-to-plant shrink is not unique to Select or larger farms, 
generally. The witness described improperly calibrated scales, input or 
transposition errors by milk haulers, changes in equipment or personnel 
when weighing loads, or snow settled on scales or tanks when weighing, 
as reasons for weight discrepancies. The witness testified these 
variances are not inherent and that they can be addressed. Select 
reiterated its arguments supporting Proposal 11 in its post-hearing 
brief.
    The AFBF expressed support for Proposal 11 in its post-hearing 
brief. The AFBF contended that data on farm-to-plant shrinkage 
contained in evidence is similar to what was used to determine the 
original farm-to-plant shrinkage factor. The AFBF argued that this 
issue does not merit a formal data collection, but a one-time 
adjustment to reflect that farm-to-plant shrinkage is much less 
significant than it used to be.
    Five witnesses representing IDFA, Leprino, CDI, DIC, and MPC 
testified in opposition to Proposal 11. The witnesses asserted Select's 
minimal farm-to-plant shrinkage is not the reality for much of the 
dairy industry, noting the lack of industry-wide data on farm-to-plant 
shrinkage and the differing nature of measuring components at the farm, 
rather than at the plant, are reasons Proposal 11 should not be 
adopted. The witnesses further testified FMMO yield factors should not 
be based on one company's experience, especially one, they argued, that 
was an industry leader in this area.
    The Leprino witness testified that while Select has been able to 
limit their own farm-to-plant loss through increasing herd sizes and 
improvements in milk weighing and sampling, this is not a 
representation of the nationwide dairy industry. Additionally, the 
witness argued the scientific characteristic of milk fat clinging to 
the walls of stainless steel has not changed; as such, volume and fat 
loss still occur, even at the most innovative plants. The IDFA witness 
claimed less than 10 percent of all farms produce enough milk to fill 
entire tanker loads, so it is reasonable to conclude the losses 
experienced when the formulas were adopted are still happening today. 
According to the witness, failure to account for the diversity of farm 
size may further incentivize manufacturers to prefer larger farms over 
smaller farms.
    Submitted by Select, Proposal 12 recommends amending the nonfat 
solids price formula by increasing the NFDM yield factor from 0.99 to 
1.03. A Select witness testifying in support of Proposal 12 said it 
would correct the NFS yield factor by including the value of milk 
solids utilized in buttermilk powder, as producers are not currently 
paid accurately from a price calculated on NFDM prices alone. According 
to the witness, a proper yield factor for NFDM should account for all 
milk solids, including the milk solids remaining in cream after 
separation and used in butter or buttermilk. The witness stressed the 
initial NFS formula, correctly adopted in 2000, included buttermilk 
powder.
    A witness representing CDF and CDF SW testified on price alignment 
and processing differences between NFDM and buttermilk powder. The 
witness stated sales and regional prices observed at the two plants for 
buttermilk powder and low-heat NFDM are closely aligned, as well as 
consistent with prices reported by AMS' Dairy Market News (DMN) from 
January 2023 through June 2023. The witness further testified that the 
process of drying buttermilk utilizes the same equipment as that of 
drying skim milk but requires a thorough cleaning of equipment when 
changing product lines, higher temperature, and additional drying time 
due to buttermilk's higher butterfat content. The witness said this 
leads to increased utility costs of approximately $0.02. The witness 
testified the NFS yield factor should consider all powder products, 
including buttermilk powder whose yield is lower than NFDM. Select 
reiterated its arguments in support of Proposal 12 in its post-hearing 
brief.
    In its post-hearing brief, the AFBF expressed support for Proposal 
12 as it believes it reflects the long-term market shift toward valuing 
buttermilk near the NFDM price. The AFBF stated that a formal extensive 
data collection is not

[[Page 57597]]

necessary for this proposal to be adopted because there is a clear 
record of buttermilk values.
    Two witnesses, representing Leprino and IDFA, testified in 
opposition to Proposal 12. The witnesses testified Proposal 12 is based 
upon a theoretical yield approach which assumes a perfect system with 
no in-plant component losses in the conversion of NFS to NFDM. The 
witness said in-plant losses exist even in the most modern and 
efficient manufacturing facilities and should be recognized in the 
price formulas. The witnesses gave an example of the portion of NFS 
remaining in cream after separation, which cannot be processed into 
NFDM. The Leprino witness argued the FMMO system is predicated on the 
notion processors should pay for milk based on the revenue they can 
derive from selling products manufactured from that milk. The witness 
said milk routinely lost in processing does not end up in finished 
products, which should continue to be accounted for in the formulas. 
The IDFA witness testified product yields should incorporate 
manufacturing losses, and overestimating the quantity of NFDM 
manufactured from NFS by accounting for buttermilk powder would 
overvalue the market-clearing of NFDM and contribute to disorderly 
marketing.
    A witness from CDI testified on behalf of NMPF in opposition to 
Proposal 12. The witness testified CDI supports evaluating all factors 
in the Class III and IV formulas, and yield factors should only be 
updated once industry-wide data on product yields are available. The 
witness stated the NFS price formula is based on NFDM and the yield 
factor correctly reflects the yield of NFDM only, without an adjustment 
for buttermilk powder. The witness said Proposal 12 would adjust the 
NFDM yield factor to represent a composite yield for multiple products 
which differ in terms of component composition, uses, cost of 
manufacture, and market prices. While acknowledging buttermilk powder's 
processing costs are likely higher than NFDM's, the CDI witness 
testified there was not enough data to quantify the difference in 
processing costs; further, data presented from DMN and by Select 
witnesses are not sufficient to determine the alignment of prices 
between buttermilk powder and NFDM. The witness clarified that buyers 
of butterfat and NFS must account for all solids utilized at the 
minimum component prices, regardless of whether the solids are used in 
the surveyed products of butter and NFDM or in other Class IV products 
such as buttermilk powder.
    A witness from the DIC testified in opposition to Proposal 12. 
According to the witness, while NFDM yields are likely higher than the 
current yield factor of 0.99, not all NFS in producer milk end up in 
NFDM, with some NFS from cream remaining in buttermilk. The DIC witness 
claimed the lower yield factor is to compensate for generally lower 
buttermilk powder prices compared to NFDM but acknowledged DMN data 
suggested a buttermilk powder price discount relative to NFDM narrowing 
in recent years. A witness from MPC testified in opposition to Proposal 
12, stating they were opposed largely due to a lack of adequate data.
    In their post-hearing briefs, IDFA and NMPF opposed Proposals 10, 
11, and 12. IDFA argued the three proposals are not representative of 
industry-wide experience, but rather on what is possible given modern 
technology and equipment. NMPF echoed IDFA's opposition in its brief, 
citing insufficient data to justify the proposed changes. IDFA 
specifically objected to Proposal 11, stating it would place an unfair 
burden on small farms that cannot fill a tanker and, thus, continue to 
experience shrinkage. Proposal 11 was also opposed by WCMA in its post-
hearing brief. Lastly, IDFA contended Proposal 12 should be rejected 
because it overvalues buttermilk powder.

Base Class I Skim Milk Price

    Six proposals to amend the base Class I skim milk price were 
considered in this proceeding. Proposal 13, submitted by NMPF, seeks to 
return the base Class I skim milk price to the higher-of the Class III 
or Class IV advanced skim milk price, referred to as the ``higher-of'' 
mover. Proposal 14, submitted by IDFA, would use an average of the 
advanced Class III and Class IV skim milk prices, plus an adjuster that 
resets every January. The adjuster would be the higher of either: (1) 
$0.74; or (2) the 24-month average difference between the higher-of and 
the average-of the advanced Class III and Class IV skim milk pricing 
factors. The 24-month calculation would run from August of the three 
years prior to July of the previous year. Proposal 15, submitted by 
MIG, would amend the current average-of mover from a $0.74 adjuster to 
a monthly rolling average adjuster calculated as the difference between 
the higher-of and the average-of, for 24 months, with a 12-month lag.
    Proposal 16, referred to as ``Class III plus,'' submitted by Edge, 
would start with the announced Class III price and incorporate a 36-
month rolling adjuster averaging the monthly differences between the 
higher-of the advanced Class III or advanced Class IV skim milk prices, 
and the Class III skim milk price. The proposal would eliminate 
advanced prices. Proposal 17, also submitted by Edge, would return to 
the higher-of mover but would use announced rather than advanced 
prices. Proposal 18, submitted by the AFBF, would return to the higher-
of mover and would eliminate the advanced pricing of Class I skim milk, 
Class I butterfat and Class II skim milk.
    An NMPF witness testified in support of Proposal 13. The witness 
reviewed the 2000 Federal Order Reform (Order Reform) rulemaking and 
summarized the higher-of methodology as accurately reflecting the value 
of the different milk use categories and ensuring shifts in demand for 
any one manufactured product does not lower Class I prices. The witness 
said the Department determined during Order Reform that the higher-of 
mover addresses disorderly marketing by reducing volatility in milk 
prices, reducing class price inversions and depooling, and assisting 
Class I handlers in competing for a milk supply.
    The NMPF witness testified the 2019 change to the average-of was 
designed to facilitate price risk management strategies for fluid milk 
processors, which, the witness stated, is not an objective of FMMOs. 
The witness said the intent of the change was to be roughly revenue 
neutral, while allowing handlers to better manage volatility in monthly 
Class I skim milk prices using Class III and Class IV milk futures and 
options contracts. The witness claimed the 2019 change has not 
functioned as intended or anticipated by NMPF, has exacerbated 
disorderly marketing conditions, has not been revenue neutral, and will 
continue to have deleterious effects on the dairy industry. The witness 
described the asymmetrical risk to producers which was not anticipated 
when the mover change occurred. The witness explained the higher-of 
exceeds the average-of calculation whenever the Class III and IV 
advanced skim milk pricing factors differ by more than $1.48 per cwt, 
regardless of which factor is higher. The witness noted the reverse is 
true when the advanced skim pricing factors differ by less than $1.48 
per cwt.
    A witness from Southeast Milk, Inc. (SMI), a NMPF cooperative 
member with 114 dairy farmer members, testified that when the two 
advanced skim milk pricing factors are equal, the maximum amount by 
which the average-of can exceed the higher-of Class I mover is $0.74 
per cwt, but there is no limit by which the average-of can

[[Page 57598]]

fall below the higher-of Class I mover. The NMPF witness testified that 
in 2020 and 2022, there were instances when the average-of mover fell 
below what the higher-of mover would have been, in which the difference 
was at times significant. The witnesses testified the maximum 
divergence recorded between the current average-of mover and the 
higher-of mover was a $5.19 lower average-of mover in December 2020, 
when Classes II, III, and IV skim prices differed by approximately $11 
per cwt. In comparison, the witness said, the maximum gain during that 
time was capped at $0.74. The SMI witness said because the upside is 
capped, but the downside is not, it is difficult to ever return to 
revenue neutrality under the average-of mover.
    The SMI witness testified the average-of mover has lowered dairy 
farmer revenue compared to what they would have received under the 
higher-of mover, with estimated cumulative market losses totaling 
$998.3 million from May 2019 through August 2023. The witness said that 
for the same period, the average-of mover decreased revenue to the 
southeastern FMMO producers by more than $192 million. The NMPF witness 
reviewed data during periods of relative price stability, revealing the 
average-of mover generated modest gains over the higher-of mover. 
However, in periods of price volatility, there were substantial revenue 
losses in months when the average-of mover was less than the calculated 
higher-of mover, which resulted in significant cumulative losses to 
producers over time.
    The NMPF witness claimed the change to the average-of mover 
increased disorderly marketing by reducing Class I prices relative to 
the other classes and creating greater incentives for handlers to 
depool milk. The witness said that in 2020, the enhanced demand for 
cheese relative to the demand for butter and NFDM widened the spread 
between Classes III and IV well beyond $1.48, substantially lowering 
Class I prices compared to what they would have been under the higher-
of mover. The SMI witness testified that between May 2019 and June 
2023, the Class III skim value exceeded the Class IV skim value by over 
$1.48 per cwt in 16 months, and the Class IV skim value exceed Class 
III skim value by $1.48 or more per cwt in 11 months. In 2023, 
according to the SMI witness, the average-of continued to be lower than 
the higher-of in some months, which had a more significant impact to 
dairy farmers because it occurred during a time of extremely low dairy 
farm margins. The witness said they expect to see more volatility and 
larger spreads between Class III and Class IV prices in the future 
because of anticipated higher butterfat prices which will lower the 
Class III skim value.
    The NMPF witness testified that adoption of the average-of mover 
created class price inversions and resulted in significant volumes of 
depooled Class III milk during the second half of 2020. Class price 
inversions occurred again in 2022 and 2023, said the witness, resulting 
in price volatility and substantial depooling of Class IV milk. The 
witness opined a wide variety of market conditions have proven capable 
of generating market volatility, driving a wedge between Class III and 
IV skim milk prices, and resulting in an average-of mover of more than 
$1 per cwt below what the higher-of mover calculation would have been.
    The NMPF witness said the average-of mover has not resulted in 
increased risk management activity at a value to handlers anywhere near 
the losses experienced by dairy farmers. Numerous witnesses testified 
their fluid milk customers have shown very little interest in hedging 
milk since the average-of mover was implemented.
    NMPF witnesses testified other Class I mover proposals under 
consideration in this proceeding use the higher-of mover calculation as 
the benchmark for determining adequate Class I skim milk price revenue. 
They testified those proposals provide producers revenue in an after-
the-fact-manner that fails to maintain the maximum monthly separation 
between advanced Class I prices and the manufacturing class prices, a 
goal expressed by the Department when it recommended the higher-of 
mover during Order Reform.
    The SMI witness testified that because of the change to the 
average-of mover, the southeastern FMMOs experienced disproportionately 
large reductions in blend prices due to the higher Class I utilization 
in the region, making it harder to attract supplemental milk the region 
requires to meet fluid demand. The witness noted that using an average-
of mover to establish a Class I skim price makes it more difficult for 
Class I handlers to procure milk from plants with higher-value 
manufactured products because the price difference is not large enough 
to draw milk away from manufacturing. The witness opined a Class I skim 
mover should provide for orderly marketing by ensuring an adequate 
supply of raw milk for fluid plants, producer price equity including 
prompt and uniform payments to farmers and cooperatives, and stability 
for dairy farms. The witness argued the current average-of mover makes 
it more difficult for FMMOs to achieve those purposes.
    An NMPF consultant witness testified the higher-of mover is 
necessary to transmit market signals in real time. The witness said a 
higher Class I milk price relative to other class prices sends market 
signals to move milk from surplus to deficit regions to ensure adequate 
fluid milk supplies. Additionally, the witness continued, disorderly 
marketing caused by prolonged depooling occurs when the Class I price 
is lower than Class II, III, or IV prices. The witness asserted 
prolonged periods of depooling create market disorder. Since the change 
in 2019, claimed the witness, the Class I mover has facilitated 
persistent long-term periods of depooling because there is no guarantee 
Class I prices will exceed the other class prices over time. In 
contrast, the witness asserted that under the higher-of mover, if Class 
III and IV advance skim prices increased, the Class I price would 
remain higher and depooling would moderate.
    The NMPF witness presented data to demonstrate the objective of 
adopting the average-of mover, to allow for greater risk management, 
has not been accomplished, and prolonged periods of depooling have made 
it difficult for producers to hedge their farm margins. The witness 
stated that when milk is not pooled, producer hedging losses cannot be 
offset by gains on milk checks because revenue from the higher valued 
manufacturing milk is not shared with the marketwide pool. The witness 
asserted risk-management performance is relatively similar under the 
higher-of and average-of movers, entering data they believed showed how 
Class III futures contracts would similarly mitigate risk. The witness 
contended other proposals do not adequately replicate the higher-of 
price in future periods; nor do they share equally among dairy 
producers and others, necessitating periodic recalibration. Rather than 
recognize the average-of limitations, the witness said, other proposals 
seek to align the average-of and higher-of performance. The witness 
testified an average-of mover with an adjuster causes past market 
conditions to influence current prices, sending pricing misinformation 
to the market and causing disorderly marketing. The witness concluded 
that without immediate market signals from the advanced Class III and 
IV milk prices, any of the average-of or Class III plus movers would 
struggle to replicate the higher-of mover performance.
    An NMPF witness representing Prairie Farms testified producer 
revenue

[[Page 57599]]

has been significantly reduced, without recovery, since the change to 
the average-of mover. Prairie Farms is an Illinois based farmer-owned 
milk cooperative with over 600 dairy farmer members operating fluid 
milk processing and manufacturing facilities that produce a variety of 
fluid and manufactured dairy products. Increased depooling in the last 
few years because of the average-of mover has resulted in increased 
price volatility, the witness said. The witness testified that with the 
average-of mover either Class III or Class IV milk is not pooled, 
depending on which class is higher, because the manufacturer is able to 
keep the additional market revenue instead of sharing it among pooled 
producers.
    The Prairie Farms witness testified dairy producers want a pricing 
system that gives real-time market signals, which is accomplished with 
the higher-of mover. The witness testified Prairie Farms supported the 
change to the average-of mover believing it would facilitate their 
customers' ability to hedge Class I milk. However, Class I processors 
have generally not increased their use of hedging, said the witness, 
while dairy producers have taken on additional risk by giving up a 
higher Class I price. The witness stated one reason they believe their 
customers do not utilize hedging is because of fear of incurring a 
price disadvantage compared to their competitor. The witness added that 
of the Prairie Farms dairy farmer members engaged in risk management, 
there has been a decrease in the use of forward contracting since the 
implementation of the average-of mover because of negative PPDs, as 
they create a negative basis dairy producers are unable to account for 
in their risk management decisions. The witness presented data showing 
negative PPDs have become larger and more frequent under the average-of 
mover, which has increased the volume of depooled milk and 
significantly reduced revenue to farmers.
    Another NMPF witness representing Upstate Niagara Cooperative 
(Upstate Niagara) testified the average-of mover has not operated as 
intended, has negatively impacted producer revenue, and has exacerbated 
disorderly conditions. Upstate Niagara is a dairy farmer-owned 
cooperative marketing the milk of approximately 250 members and 
operating eight fluid processing and manufacturing plants in New York 
and Pennsylvania. According to the witness, under the average-of mover, 
producers pooled on FMMOs with higher Class I utilization were most 
severely impacted due to the depressed Class I milk prices and no 
ability to benefit from the higher priced manufacturing milk. Similar 
to other witnesses, the Upstate Niagara witness described the 
asymmetric price risk of the average-of mover.
    From interactions with fluid milk customers, the Upstate Niagara 
witness said there is widespread acceptance of prices based on FMMO 
monthly price announcements by their conventional customers. The 
witness said conventional customers have been less interested in 
pursuing a fixed price if there was any chance it could result in a 
competitive disadvantage in any given month. The witness recognized 
there may be some processors or end users in specialized Class I 
product channels that may utilize hedging but contended it is a 
relatively small portion of total Class I sales.
    A University of Missouri professor testifying on behalf of NMPF 
presented results of an analysis conducted to evaluate the impact of 
adopting Proposal 13. The witness testified, under the higher-of mover, 
Class I prices would increase every year between $0.32 and $0.50 per 
cwt; the Class II price would be between $0.08 and $0.12 per cwt less 
annually; the Class III price would be between $0.06 and $0.13 per cwt 
less annually; the Class IV price would be between $0.08 and $0.12 per 
cwt less annually; and the all-milk price would be between $0.01 or 
$0.02 per cwt higher annually, except for a more significant increase 
of $0.06 per cwt in the first year. The witness said the model 
forecasted the effect on the all-milk price to moderate over time as 
production expands.
    Twenty dairy farmers testified in support of Proposal 13. Many 
dairy farmers testified blend prices have been lower and their milk 
prices have been reduced since the average-of mover was implemented. 
They said only when Class III and Class IV prices are within a narrow 
range of each other is the average-of mover equal to or outperforming 
the higher-of mover. The witnesses said their experience supports 
NMPF's assertion that farmers' milk prices have been reduced by $950 
million, and the reduction is not just a COVID-era anomaly. Dairy 
farmer witnesses said the losses demonstrate the goal of revenue 
neutrality with the change to the average-of has not been achieved. One 
witness asserted that in 29 of the 52 months since the average-of was 
adopted, Class I prices averaged $1.30 per cwt less than what the price 
would have been under the higher-of mover. In comparison, said the 
witness, in the remaining 23 of the 52 months the average-of returned a 
price only $0.42 higher per cwt. The witnesses testified to near-
universal support by dairy farmers for a return to either the higher-of 
or, under the average-of, a mechanism to be equal to the higher-of over 
a period of time, such as 24 months.
    Several dairy farmers urged a return to the higher-of mover, 
claiming a need for financial relief as dramatic shifts in milk markets 
since implementation of the average-of mover have caused significant 
financial losses to dairy farmers. Dairy farmers reiterated the 
average-of mover change affects 100 percent of pooled producer milk 
while it is unlikely fluid milk processors are covering 100 percent of 
their products with risk management tools. A dairy farmer testified 
they were assured the change to the average-of would be net neutral or 
net positive, but it has not been. Many dairy farmer witnesses 
described losses to dairy farmers under the average-of compared to what 
the Class I mover would have been under the higher-of and testified to 
receiving lower blend prices. The dairy farmers were concerned about 
receiving a delayed value of milk from a Class I mover with a rolling 
average methodology because they believe they cannot afford to wait 
months or years for the added revenue. They testified restoring the 
higher-of mover through adoption of Proposal 13 would help to reduce 
the volatility in monthly milk prices, bringing more stability and 
predictability to farmer income.
    Dairy farmers of all sizes testified to relying on risk-management 
tools, such as Dairy Margin Coverage (DMC), Dairy Revenue Protection 
(DRP), and CME futures and options markets because it is difficult to 
manage their farms through periods of significant price volatility. 
Dairy farmers' testimonies described a range of contract periods, 
anywhere from 3-18 months, depending on the individual farmers' risk-
management strategy and risk tolerance. In its post-hearing brief, NMPF 
reiterated hearing testimony arguing the average-of mover does not meet 
the standards set forth in Order Reform, and the change has not been 
revenue neutral as originally assumed. NMPF restated that under the 
average-of mover, price inversions, volatility, and depooling have 
increased, and Class I prices have been less effective at incenting 
milk to fluid processors relative to manufacturing. NMPF reiterated the 
asymmetrical risk borne by dairy farmers with the average-of mover and 
the frequency of which the difference between Class III and IV prices 
exceeded $1.48 per cwt, effectuating that risk.
    NMPF reiterated the average-of mover failed to send appropriate 
market

[[Page 57600]]

signals to participants because the fixed adjuster could not maintain 
the maximum monthly separation between the advanced Class I and the 
manufacturing class prices. NMPF wrote this increased the likelihood 
manufacturing classes would have a higher value than milk used in Class 
I and resulted in increased volumes of depooled milk. Under the higher-
of mover on the other hand, NMPF argued, when a particular 
manufacturing class price is rising, the Class I price also rises and 
tends to maintain Class I as the highest priced class. To dampen the 
effect volatility in the manufacturing classes has on Class I, the 
highest priced manufacturing class should provide the foundation for 
ensuring the Class I price remains above the manufacturing classes 
almost every month, reducing the incentive to depool, which is 
disorderly.
    The demand for Class I hedging is not clear, NMPF asserted in its 
brief, and no evidence was presented to suggest more than a small 
minority of the overall fluid market utilizes hedging, especially 
beyond ESL handlers. NMPF argued in its brief that while facilitating 
risk management for fluid processors may have merit, it is not an 
objective of FMMOs. In regulating processors, the AMAA only considers 
price uniformity to processors, NMPF asserted. Finally, NMPF restated 
in its brief the widespread support of producers for a return to the 
higher-of mover.
    The Dairy Cooperative Marketing Association, Inc. (DCMA), a Capper-
Volstead Marketing Agency in Common with nine cooperative members in 
the southeastern U.S., submitted a post-hearing brief in support of 
Proposal 13. In its brief, DCMA argued the change to the average-of 
mover has not been revenue neutral to dairy farmers, nor provided 
benefits to the industry as originally intended. According to DCMA, the 
hearing record demonstrates that little Class I hedging occurs, 
especially on HTST milk, and includes no evidence that the use of 
hedging is more prevalent now than prior to the change. DCMA stated 
most testimony demonstrated HTST milk is sold based on FMMO announced 
prices each month plus a fixed margin. Because revenue on packaged milk 
sales flows back to the processor in step with the monthly changes in 
the FMMO announced prices, there is no price risk to the Class I 
processor under this system, according to DCMA. In its brief, DCMA 
described the pronounced losses in the southeastern region as a result 
of the change to the average-of mover.
    The MDC submitted a post-hearing brief in support of Proposal 13, 
expressing the importance of making the changes as part of the FMMO 
reform process underway. MDC conveyed in its brief the importance of 
ensuring all reforms are considered in concert since all changes have 
ripple effects throughout the entire system and across all classes of 
milk.
    In its post-hearing brief in support of Proposal 13, Select 
reiterated the proposal would support the priorities expressed by the 
Department in Order Reform, the rationales of which remain true today. 
Select cited billions of dollars lost to producers, an increase in 
depooling, and a lack of Class I handlers hedging their milk costs as 
reasons the average-of has failed.
    In both witness testimony and briefs, IDFA and MIG strongly opposed 
a return to a higher-of mover. A majority of their opposition was 
contained in supporting testimony and evidence for Proposals 14 and 15, 
as detailed below.
    A witness representing IDFA testified in support of Proposal 14. 
The witness said the goal of Proposal 14 is to keep producer Class I 
revenue consistent with what would be experienced under the previous 
higher-of mover, while allowing for effective and affordable Class I 
risk-management strategies.
    The IDFA witness claimed that in the long-run, the proposed Class I 
mover would never fall below what the Class I skim milk price would 
have been under the higher-of mover. According to the witness, Proposal 
14 would have paid more than the higher-of mover in 13 of the past 21 
years. The witness asserted dairy farmers are ``made whole'' as 
compared to the higher-of mover over time through the annual adjuster 
calculation. The witness presented data from 2003 through 2019 showing 
Proposal 14 would have yielded a Class I price $0.08 greater than the 
higher-of mover. For 2004 through 2023, the witness said Proposal 14 
would have yielded a Class I price $0.05 higher, due to the $0.74 
floor.
    The IDFA witness entered data and analysis to show the volume of 
milk not pooled would be slightly less under Proposal 14 than Proposal 
13, and the Class I price would be lower than Class III or Class IV 
prices in nearly the same number of months under both proposals. The 
IDFA witness presented an analysis showing Proposal 14 would have 
reduced price volatility with the only exception of very high cheese 
prices in 2020. According to the witness, volatility equates to greater 
price risk, which increases hedging costs, and ultimately higher 
consumer prices.
    The IDFA witness countered claims the higher-of mover sends 
important price signals to dairy farmers through the Class I price, 
instead claiming the blend price sends more important price signals 
because it is the price farmers receive. The witness alleged there is 
little difference between signals sent by the blend price under 
Proposals 13 and 14, arguing that from 2012 to 2022, Proposal 13 would 
average 31.9 percent of the Class I value in the blend price while 
Proposal 14 would average 31.8 percent. As the impact on the blend 
prices is very similar, over time there is little difference in price 
signals between the proposals, the witness said.
    Regarding the delay incorporated by the rolling adjuster and 
farmers possibly not receiving the make-up payments, the IDFA witness 
noted farmers go out of business for many reasons, and some may go into 
the business or expand and benefit from higher payments. The witness 
said this issue is no different than handlers going out of business 
before the make allowances are raised.
    The IDFA witness testified hedging is a critical tool for the 
subset of innovation and value-added milk manufacturers to remain 
competitive with alternative beverages. In the few growing segments of 
the milk market, especially ESL and higher value-added products, 
retailers are demanding processors provide long-term fixed price 
contracts, rather than contracts with fluctuating monthly prices, the 
witness said. Since processors cannot enter into a fixed purchase price 
for raw milk with their milk suppliers, hedging allows processors to 
take on the risk of entering into a fixed sales price for its finished 
products and cover the risk of raw milk prices rising during the 
contract period, the witness testified.
    The IDFA witness noted several ESL processors formed and quickly 
implemented risk management plans in anticipation of the change to the 
average-of mover. The witness noted ESL processors are interested in 
hedging because of the longer product shelf-life. According to the 
witness, a risk management plan allows a processor to level out what 
could otherwise be very different costs of milk products that could 
have been produced at significantly different times but are being sold 
to the customer at the same point in time. The witness noted more 
hedging of HTST products is done by end users, such as foodservice 
customers, not processors. The witness testified that while risk 
management is not a stated objective of the AMAA, a stable price, 
promotion, and growth of the sale of milk are, and the ability to use 
risk management tools results in stable prices and increased sales.

[[Page 57601]]

    The witness testified IDFA would support a rolling average longer 
or shorter than 24 months, but the 12-month implementation lag is 
essential to allow for hedging. The witness testified Proposal 14 
calculates the adjuster from August through July because long term 
Class I sales contracts between processors and retailers are often 
negotiated and entered into during the final months of the calendar 
year. To allow for effective hedging for those contracts, Class I 
processors would need to know at the time of the contract negotiations 
what the adjuster would be for the next calendar year. The witness 
supported Proposal 15 as an acceptable alternative to Proposal 14.
    A dairy processor witness representing Schreiber Foods (Schreiber) 
testified in support of Proposal 14 or 15. Schreiber is a fluid milk 
processor primarily manufacturing Class II and Class III products, with 
approximately 5 percent of their products sold as ESL Class I products. 
The witness testified that over the past 20 years risk management has 
become a necessary tool for companies with exposure to dairy market 
volatility. The witness said that only since the change to the average-
of mover in 2019 have milk processors had a viable way to manage risk. 
The witness testified that, in response to requests from foodservice 
and retail customers to manage Class I costs, Schreiber has offered 
Class I forward contracts since 2019. Prior to 2019, the witness said 
creating an effective hedge for Class I milk was challenging as it was 
unknown whether Class III or Class IV would be the mover. The witness 
stressed the change to the average-of allows purchasers to use a 
combination of Class III and Class IV hedge positions, which gives 
everyone in the supply chain the ability to control their market risk 
in a way that was not previously possible under the higher-of.
    According to the witness, Schreiber hedges price risk for its ESL 
production through a combination of Class III and IV futures and swaps, 
and Class I swaps, which typically go out 12 to 18 months. Under 
Proposal 14, the witness explained, market participants will know the 
fixed adjuster in advance of the calendar year in order to conduct 
their hedging analyses for the coming year. If the Class I mover were 
to revert to the higher-of, the witness testified they would have to 
either find a different way to hedge or cease offering forward 
contracts on their ESL products.
    A witness representing Nestl[eacute] USA (Nestl[eacute]) testified 
in support of Proposal 14. Nestl[eacute] is a fluid milk processor 
operating one plant regulated by the FMMO system. Nestl[eacute] 
procures milk from cooperatives using contract agreements, the witness 
testified, and offers its customers an annual fixed price contract for 
their primary Class I product, an ESL product. The witness stressed the 
importance of hedging to manage risk and compete in the market against 
nondairy beverages. The witness stated Nestl[eacute] did not use 
hedging for Class I under the higher-of mover because not knowing which 
class price would be higher caused uncertainty. The witness testified 
Nestl[eacute] currently hedges all its Class I milk purchases using 
Classes III and IV futures contracts, and while they have an 18-month 
outlook they typically hedge Class I milk 6 months out. If USDA returns 
to the higher-of mover, the witness testified, Nestl[eacute] would not 
be able to continue hedging its Class I milk. The witness testified 
price volatility has specific impacts on ESL products, as it is 
challenging for retailers to set different prices due to monthly milk 
price fluctuations for two identical products sold at the same time but 
produced in different months.
    A witness representing Lamers testified in support of Proposals 14 
and 15 stating those proposals would help smooth out the volatility in 
the pricing of Class III and Class IV.
    In its post-hearing brief, IDFA reiterated the importance of 
hedging to processors for managing price risk and volatility and 
claimed effective hedging could only be achieved with an average-of 
mover. IDFA noted that when price uncertainty does not allow fluid milk 
processors to manage risk 6 to 12 months out, they risk losing shelf 
space to plant-based and other alternative beverage products that can 
offer fixed prices. IDFA argued that the choice for a fluid milk 
processor, especially with respect to ESL products, higher value-added 
products, and foodservice, is increasingly between offering stable 
pricing and long-term contracts demanded by customers or losing shelf 
space to competing beverages. Pricing stability and long-term 
contracting are facilitated by hedging, according to IDFA. IDFA 
stressed the growing need for Class I hedging because of increased 
volatility between the manufacturing classes.
    In response to criticism of Proposal 14, IDFA wrote the average-of 
mover does not create price inversions or lead to milk not being 
pooled, arguing depooling occurs because of the price relationships 
between classes, and is caused by negative PPDs and pooling 
requirements. IDFA also wrote that the average-of mover does not 
increase price volatility, unlike a higher-of mover which routinely and 
unpredictably switches between Class III and Class IV. Finally, IDFA 
asserted the value of Class I products is not necessarily related to 
the value of Class III or IV products, thus, the higher-of does not 
better reflect the value of milk than the average-of mover.
    NAJ submitted a post-hearing brief in support of Proposal 14, 
arguing it better protects long-term producer milk revenue, provides 
less Class I price volatility, and preserves equitable risk-management 
opportunities for Class I handlers who are required to participate in 
the FMMO system. NAJ noted the perception a return to the higher-of 
mover would produce higher producer Class I revenues is based on highly 
divergent Class III and IV price movers and an expectation this will 
continue in the future. However, NAJ argued in its brief this price 
divergence analysis does not account for composition factor amendments 
nor potential Class I differential amendments. With revised composition 
factors, NAJ asserted, a restored manufacturing to Class I price spread 
would mitigate price inversion and depooling.
    A MIG witness testified in support of Proposal 15 seeking to amend 
the average-of mover from a $0.74 adjuster to a rolling 24-month 
adjuster with a 12-month lag. The witness claimed the movers contained 
in Proposals 14 and 15 provide similar base Class I skim milk prices 
and have similar effects on producer prices. The witness explained in 
certain years Proposal 15 would return more money to farmers than the 
higher-of, and even if farmers do not experience the benefits of a high 
manufacturing price immediately, they will over time through the lagged 
adjuster. The witness presented data comparing the monthly average base 
Class I skim milk price calculated under the current mover, the higher-
of mover, and Proposal 15 from 2003 to 2022 to show Proposal 15 would 
be revenue neutral in the long run.
    The MIG witness testified Proposal 15 preserves risk-management 
opportunities for both producers and Class I processors, which is part 
of orderly marketing. The ability to hedge Class I milk became 
effective in 2019, followed by the pandemic and regulatory uncertainty 
as to whether the average-of would remain, and time, resources, and 
lack of knowledge slowed the adoption of Class I risk-management 
strategies, the witness testified.
    Five MIG member witnesses representing fairlife, HP Hood, Turner 
Dairy, Shehadey, and Crystal Creamery testified on the importance of 
hedging Class I milk. The fairlife and HP Hood

[[Page 57602]]

witnesses said they primarily process ESL products, which they hedge 
using CME Class III and IV component and commodity futures. The HP Hood 
witness stated they do not hedge HTST milk because it is primarily sold 
through direct store delivery where the standard business practice is 
monthly pricing. However, ESL products are distributed primarily 
through grocery warehouses and buyers expect 60 to 90 days' notice for 
any price changes, the witness said. The HP Hood witness stated the 
ability to hedge has not changed their ESL pricing strategy but has 
allowed for fewer price increases. In earlier testimony a witness 
representing Shamrock, also a MIG member, said they manufacture both 
HTST and ESL products and hedge milk used in their ESL products.
    A processor witness representing Shehadey testified contracts with 
retailers such as grocery stores use a fixed formula that changes 
monthly, quarterly, or semi-annually, and are based on FMMO prices. The 
witness testified Shehadey has only HTST Class I milk products and they 
do not use any form of risk-management tools to hedge their risk. The 
Turner Dairy and Crystal Creamery witnesses said their companies 
primarily process HTST Class I milk products which they currently do 
not hedge. Both witnesses expressed value in hedging HTST milk sold to 
foodservice, as foodservice customers prefer to know prices months to 
years in advance. The fairlife and HP Hood witnesses testified hedging 
under the higher-of mover was difficult due to price volatility and 
uncertainty, but the average-of mover allows them to offset the risk. 
The witnesses also testified it takes time to develop a robust hedging 
program. The HP Hood witness stated Class I hedging is primarily used 
by more sophisticated operators, but as Class I hedging becomes more 
accepted, the market should become more liquid, and more processors 
will likely use this risk-management tool. The fairlife witness said 
fairlife typically hedges its ESL Class I products, mainly 0 to 6 
months out, but contracts could extend up to 12 months.
    A MIG witness explained that the adoption of Proposal 15 would 
allow for less price volatility throughout the market and support 
industry growth by stabilizing the cost of milk for retailers and 
consumers. Hedging, the witness said, is important to offering 
customers and consumers a more stable price, which could stem the 
declines in fluid milk as fluid milk competes with many beverages in 
the market. The fairlife witness testified that price certainty 
translates to price stability for both the retailer and the consumer. 
The HP Hood witness testified the goal of hedging is not to make a 
higher return, but instead to act as price risk insurance by removing 
some input price volatility and increasing margin certainty for end-
product sales. The Turner Dairy witness testified the average-of mover 
results in more price stability which is beneficial to the Class I 
market. The witness said under the higher-of formula, the Class I price 
went up with every spike in butter, cheese, or powder markets, even 
though short-term changes in those product prices have no direct effect 
on the actual Class I market. The witness argued the price spikes 
necessitated raising prices to cover cost, without a market-based 
explanation to provide to customers.
    The MIG and fairlife witnesses testified in support of the 12-month 
lagged adjuster contained in Proposal 15, stating it is critical to 
allow Class I processors to mitigate risk and hedge successfully. 
Knowing the adjuster 12 months in advance allows companies who hedge to 
reduce or eliminate basis risk, the witness said, while the 24-month 
rolling adjuster updates and provides dynamic market signals. The 
witnesses said Proposal 15 would stabilize prices by moving gradually 
and make fluid milk products a more reliable and steady purchase for 
customers. Proposal 15 has no floor or ceiling, as the witness 
testified MIG members believe floors and ceilings can create price 
distortions. The witnesses testified a lookback of less than 24 months 
would create more volatility, while a longer lookback does not transfer 
market signals well over time. The fairlife witness testified the 12-
month lag is necessary to be able to buy futures 12 months out. The 24-
month rolling average adjuster allows the system to recognize the 
difference between Class III and Class IV prices and what the higher-of 
mover would have been, the witness said, allowing the industry to know 
definitively what the premium structure is going to look like 
associated with the adjuster 12 months into the future.
    In its post-hearing brief in support of Proposal 15, MIG argued 
USDA should first assess whether the current average-of formula has 
resulted in disorderly marketing. MIG wrote the current average-of 
mover ensures the market has sufficient milk for both fluid and 
manufacturing uses and there is not disorderly competition for fluid 
market access. MIG argued a return to the higher-of under Proposal 13 
would not provide higher returns to farmers, estimating a minimal 
impact of a $0.01 to $0.02 per cwt increase in the long term. However, 
MIG argued in its brief, the return to the higher-of mover would have 
significant negative impacts on the Class I market and the entire dairy 
industry. There is no asymmetrical risk inherent in Proposal 15, MIG 
argued in its brief, unlike the present average-of mover formula.
    According to MIG, the use of risk management developed primarily 
after the average-of formula was adopted and is likely to grow in the 
future. MIG stated Class I processors do currently use risk-management 
tools to hedge ESL products, as this sector has historically utilized 
more fixed pricing, meaning hedging can be more easily adopted. MIG 
stated many HTST customers, such as grocery stores, have become 
accustomed to the monthly fluctuations of pass-through pricing, but 
HTST customers, such as school lunch programs or USDA feeding programs, 
would benefit from the increased price certainty that comes with an 
average-of calculated mover. The industry has not yet had time to 
widely adopt risk management, MIG reiterated in its brief, and 
regulatory uncertainty due to this proceeding has caused processors to 
hesitate further use of risk-management tools.
    MIG noted in its brief that even though the AMAA does not 
specifically provide for hedging, a Class I formula that supports 
hedging helps serve the enumerated purpose of the AMAA of avoiding 
unreasonable price fluctuations and reducing milk price volatility. 
When Class I processors can better manage risk, they can offer more 
stable prices to customers and consumers, MIG argued in its brief.
    In its brief, MIG reiterated hearing testimony that use of an 
average-of mover best ensures an orderly market, and sufficient supply 
of milk for fluid use, including the most accurate pricing signals for 
dairy farmers in a longer, and more appropriate, time. MIG took 
exception to arguments that the Class I price be used to address price 
inversions and depooling. Using a California pool example, MIG argued 
that record evidence shows the Department would have to increase the 
Class I price an impractical amount to incentivize both manufacturing 
classes to remain pooled. MIG reiterated many factors cause depooling 
and negative PPDs, and neither the Class I price nor use of an average-
of mover drive those results. Rather, according to MIG, the main 
drivers of depooling in the months reviewed in testimony were the Class 
III/IV spread and advanced pricing.
    In its brief, MIG argued a return to the higher-of mover will not 
help Class I handlers in competing for milk supply

[[Page 57603]]

as a higher pool obligation detracts from the incentive to service 
Class I plants. MIG reiterated hearing testimony that the current 
marketplace is sufficiently served using an average-of formula.
    Lamers submitted a post-hearing brief in support of retaining an 
average-of mover. Lamers argued that because of the small percentage of 
Class IV use in the market, Class IV prices should not be a main driver 
for setting the Class I price, as an average-of mover is more 
representative of the entire manufacturing market. Lamers preferred the 
lower of the Class III and IV prices should be used when setting the 
mover as they believe the higher-of artificially raises Class I prices 
to consumers.
    NMPF presented numerous witnesses who testified in opposition to 
the continuation of the average-of mover, embedded in the summary of 
their testimony and post-hearing brief presented above. An SMI witness 
opposed a modified average-of mover, testifying it would result in 
revenue losses to dairy farmers because the Class I price is paid back 
to dairy farmers over time and would not compensate dairy farmers that 
have exited the business.
    Select expressed opposition to Proposals 14, 15, and 16 in its 
post-hearing brief. Select wrote that the higher-of more accurately 
reflects the value of milk in manufacturing classes, better manages 
shifts in demand for any one manufactured product, helps reduce milk 
price volatility, better addresses class price inversions and 
depooling, and makes it more difficult to draw milk away from Class I 
uses for manufacturing. Select noted most Class I handlers have not 
engaged in milk hedging under the average-of mover, and the average-of 
mover creates and exacerbates opportunistic depooling when Class III 
and IV prices diverge significantly. Select opined the average-of mover 
results in market disorder which they believe would continue until the 
higher-of mover is restored.
    In its post-hearing brief, the AFBF opposed Proposals 14 and 15, 
arguing they do not address the key issue of class price misalignment. 
The AFBF believes handlers of all sizes can find alternative methods of 
managing risk under a higher-of mover.
    A witness representing Edge testified in support of Proposals 16 
and 17. The witness advocated for the adoption of Proposal 16, referred 
to as a Class III plus proposal, because the Class III price is 
typically higher than the Class IV milk price. In times of rapidly 
declining dairy prices brought on by a decrease in demand, the witness 
said, government recovery efforts typically prioritize more perishable 
products, usually Class III. The witness said this would result in 
higher Class III prices in relation to Class IV, and consequently a 
base Class I skim price under Proposal 16 approximately equal to the 
higher-of mover. According to the witness, in situations where the 
Class IV skim milk price is higher than the Class III skim milk price, 
any lost revenue would be redistributed to producers over the next 
three years through the adjuster and would better support dairy farmers 
during years of lower profitability. The witness testified risk 
management under Proposal 16 is easy to implement and less expensive 
due to high liquidity of Class III milk futures, creating more 
predictable prices and making fluid milk products competitive with 
plant-based beverages. The witness testified Edge would support a 
monthly rolling adjuster in place of an annual adjuster.
    The Edge witness testified that as Class I utilization rates 
continue to fall, advanced pricing would continue to cause disorderly 
marketing conditions such as opportunistic depooling. The witness said 
advanced prices are antiquated and anti-competitive and their 
elimination would encourage fluid plants to use risk management. The 
Edge witness entered data showing the contribution of various factors 
to negative PPDs. The witness testified that while the change to the 
average-of mover tended to make PPDs more negative, advanced prices and 
the spread between Class III and IV influenced pooling decisions, not 
the adoption of the average-of mover. The witness testified that if the 
Class I price was announced at the same time as the Class III and Class 
IV prices, it would prevent a for-profit Class I trading relationship 
between Class III and Class IV, and the CME group would be more likely 
to create a Class I futures contract. The witness expressed a strong 
preference for Proposal 16, which they argue balances producer, 
processor, and consumer needs and supports risk management which they 
said was critical for the success of the nation's dairy farmers, 
particularly fluid sector innovators.
    The Edge witness also testified in support of Proposal 17, 
returning to the higher-of mover without advanced pricing. The witness 
said the proposal would allow the Class I futures price to be equal to 
the greater of the Class III futures price and the Class IV futures 
price. Risk management players would have minimal risk in providing 
liquidity to Class I hedgers by spreading their position between Class 
I and the higher-of Class III or IV futures. The witness testified 
dairy producers may prefer the higher-of mover without advanced 
pricing, such as Proposal 17, as it provides real-time maximum income 
for Class I milk, whereas Proposal 16 is more of a compromise.
    The Edge witness stated that since 2010, total fluid milk sales 
have been steadily declining, adding more instability and difficulties 
hedging under the higher-of mover. The witness entered data showing how 
much more risk and costs were involved to hedge under the higher-of 
mover than the average-of mover. The witness concluded a person hedging 
with futures contracts under the higher-of mover would have significant 
difficulties, but hedging under the average-of mover meets 
effectiveness standards required for hedge accounting.
    Nine dairy farmer witnesses, located in Wisconsin, Minnesota, Iowa, 
and South Dakota, testified in support of Proposals 16 and 17. The 
dairy farmers opined Proposals 16 and 17 would decrease the frequency 
of negative PPDs and depooling, and enhance their ability to manage 
price risk through hedging and other risk-management programs. One 
witness said using only the Class III skim price to set the Class I 
skim price is the best option because Class III milk futures carry more 
liquidity than Class IV and better represent Class I prices. The 
witnesses testified Proposal 16 would help keep prices steady, 
benefitting both plants and customers.
    In its post-hearing brief, Edge objected to what it believes are 
goals of some proponents to maximize FMMO Class I handler obligations 
in order for the additional revenue to be used to offset the negative 
producer impact of increasing make allowances. Edge argued the 
Department should consider the following factors in its decision: there 
have not been any significant shortages in the supply of beverage milk 
to retail stores; Congress' reason for changing to the average-of mover 
to facilitate risk management by fluid milk processors which fluid milk 
processors testified is still relevant; advanced pricing is outdated 
and no longer necessary to facilitate supply chain coordination but 
instead facilitates opportunistic depooling; a mover resulting in the 
highest fluid milk price when the Class IV price substantially exceeds 
Class III is not in the best interest of consumers; and a mover 
resulting in the highest fluid milk price when the Class IV price 
substantially exceeds Class III is not in the best interest of all 
dairy farmers. Edge argued dairy farmers located where Class I 
utilization is low may be worse off under a higher-of mover than an

[[Page 57604]]

average-of or Class III-based pricing as proposed by Edge.
    Edge reiterated Proposal 16 would facilitate risk management by 
fluid milk manufacturers and large commercial buyers, eliminate 
outdated advanced pricing and reduce the incidence and magnitude of 
opportunistic depooling, and best serve both producer and consumer 
interests.
    A witness representing the AFBF testified in support of Proposal 
18. The witness said the AFBF believes orderly pooling is the key to 
orderly marketing, and this is best accomplished by the proper 
alignment of the four class prices. The witness claimed advanced Class 
I pricing leads to increased Class III component values, a common 
factor contributing to negative PPDs. The witness said advanced prices 
reflect market conditions that are 25 to 40 days older than final 
prices, which are announced after the close of the month. When a market 
rally occurs between the announcement of advanced and final prices, the 
witness said it leads to low or negative PPDs and creates incentives 
for handlers to depool milk. The witness stated depooling results in 
elevated component prices not being shared with the pool, further 
depressing the PPD and undermining the FMMO principle of uniform 
producer prices. The witness testified advanced pricing may also cause 
price inversions when manufacturing prices are rising rapidly, making 
it difficult for Class I handlers to attract adequate milk supplies. 
The witness entered data showing the effects of advanced pricing on 
class price alignment from May 2019 to May 2023 under the current 
average-of, and under Proposals 13, 17, and 18. The witness said this 
data showed many months under the current average-of mover and Proposal 
13 in which the manufacturing class prices exceeded the Class I price, 
testifying this created disorderly marketing conditions. On the other 
hand, according to the witness, the data showed elimination of advanced 
pricing under Proposals 17 and 18 resulted in more consistent alignment 
of class prices.
    The AFBF witness testified the frequency of published commodity 
data allows handlers to estimate price changes regardless of when 
prices are announced, and as more products are available on the CME or 
other exchanges, processors and manufacturers will have information 
needed to hedge and manage risk. The witness opined that the 
elimination of advanced pricing would allow for the introduction of 
Class III and IV spread options, providing an additional way to hedge 
Class I milk when both are used in combination. Three dairy farmers 
testified in support of Proposal 18, stating the proposal would reduce 
the incentive to depool brought on by low and negative PPDs.
    The AFBF witness also testified that while they support the 
elimination of advanced pricing, they oppose Proposal 16 because it 
would delink Class I prices from Class IV prices, which they anticipate 
being higher than Class III in the future due to better export markets. 
The witness said tying the Class I price to only the Class III price 
could operate more like a ``lower-of'' formula. The witness stated the 
AFBF supports Proposal 17 because it is identical to Proposal 18 if 
combined with Proposal 13.
    In its post-hearing brief, the AFBF reiterated its support for a 
return to the higher-of mover, which it argued would support class 
price alignment and substantially decrease negative PPDs and depooling.
    The AFBF reiterated its hearing testimony that volatility has and 
continues to increase, contributing to price inversions and rapidly 
changing markets, resulting in competitive inequalities among dairy 
farmers. The AFBF said the CME has indicated a willingness to provide 
contracts catering to industry demand, and the fact that the industry 
is used to advanced pricing should not be a driving reason for its 
retention. The AFBF argued disorderly marketing conditions are present 
when producers do not receive uniform prices because of frequent 
depooling, and its proposals lead to the realignment of class prices, 
which encourage consistent pooling and uniform pricing.
    An SMI witness, appearing on behalf of NMPF, testified in 
opposition to elimination of advanced pricing as contained in Proposals 
16, 17, and 18. The witness said 90 percent of packaged fluid milk is 
highly perishable HTST milk which is processed, packaged, distributed, 
and sold in a relatively short period. The witness said these marketing 
characteristics require the price of the product to be known at the 
time of purchase, which advanced pricing of Class I milk provides. 
According to the witness, most HTST packaged fluid milk is priced 
monthly by fluid processors to their customers based on monthly FMMO 
Class I prices. This is materially different from cheese and butter 
products, the witness said, the prices of which are typically based on 
CME daily cash prices. According to the witness, advanced pricing 
enables retailers to set store milk prices at the beginning of a month, 
allowing the fluid processor to know the price the plant would receive 
for the packaged fluid milk prior to the raw milk being processed, 
packaged, and sold.
    The SMI witness also testified that if advanced pricing was 
eliminated, retailers would not know their fluid milk costs until the 
end of the month when FMMO Class I prices are announced. This would 
mean most fluid milk purchased by retailers would be sold during the 
month without knowing its minimum regulated price which, the witness 
said, from a retailer's perspective is not orderly marketing. The 
witness claimed that if there were significant month-to-month increases 
in the Class I price, retailers could seek price relief from the 
processor, and ultimately, cooperative suppliers, opening the potential 
for fluid milk processors in the same marketing area to have 
inequitable raw milk costs and non-uniform payments to producers. In 
its post-hearing brief, NMPF reiterated its opposition to the 
elimination of advanced pricing.
    A witness representing IDFA opposed Proposals 16, 17 and 18. The 
witness objected to the elimination of advanced pricing as it would 
result in Class I handlers pricing milk products to their customer 
before knowing the minimum regulated milk price and impact a handler's 
ability to hedge. In its post-hearing brief, IDFA supported the feature 
of Proposal 16 that would create a predictable Class I price that could 
be hedged based off a hedged Class III price plus a known adjuster. 
However, IDFA maintained its opposition to the elimination of advanced 
pricing, arguing it is essential for non-hedging Class I handlers to 
know their milk cost before the start of the month. It is also an 
important part of planning for fluid milk retail customers to market 
milk, IDFA stated. IDFA noted in its brief that traditional fluid milk 
retail customers are not yet using hedging sufficiently to permit a 
regulatory change eliminating advanced pricing. IDFA reiterated their 
total opposition to Proposals 17 and 18 in that they would return to a 
higher-of mover and, according to the brief, eliminate any practical 
ability to hedge.
    A MIG witness testified in opposition to eliminating advanced 
pricing. The witness said the industry is not yet using hedging 
sufficiently to permit this regulatory change, as advanced pricing 
remains critical for the dominant share of the fluid market as 
retailers expect to know the price in advance. The witness also opposed 
Proposal 16, which would price Class I milk solely off the Class III 
price. The witness said the proposal would delink the fluid milk supply 
and demand from Class IV which MIG believes is critical for balancing. 
The witness opposed Proposals 17 and 18 as

[[Page 57605]]

they limit risk-management opportunities for Class I processors. In its 
post-hearing brief, MIG reiterated its opposition to any proposal 
(Proposals 16, 17, and 18) seeking to eliminate advanced pricing, which 
MIG claimed is critical to Class I processors. MIG further argued that 
eliminating advanced pricing would negatively impact those market 
segments. With respect to Proposal 16, MIG expressed concern with 
pricing Class I milk solely off Class III prices as it would be a 
significant departure from the current practice and completely divorce 
fluid milk supply and demand from the Class IV market. According to 
MIG, the record contains testimony from cooperatives that Class IV 
remains the ultimate balancing utilization.
    In testimony and in its post-hearing brief, MIG opposed a return to 
the higher-of mover under Proposals 13, 17, and 18 as it would severely 
limit risk-management opportunities. MIG argued in its brief that a 
return to the higher-of is unnecessary and not supported by the facts 
as the industry has acknowledged the higher-of does not work. Dairy 
farmers' concerns are not about the average-of, MIG asserted, but 
rather the fixed $0.74 addition. USDA should support moving the 
industry forward, not revert to an outdated policy because it is 
familiar, MIG stated.
    MIG argued NMPF introduced no evidence the average-of mover hinders 
a sufficient supply of milk for fluid uses. Rather, MIG wrote, a return 
to the higher-of mover would result in disorderly marketing as larger 
spreads between Classes III and IV would lead to higher prices under 
the higher-of mover and raise the uniform price, incentivizing the 
lower-priced manufacturing milk to remain pooled. In that situation, 
MIG argued, FMMOs should not be raising the uniform price paid out to 
the lower-priced manufacturing class, thus, encouraging it to remain 
pooled. This compensation, argued MIG, overvalues the lower-priced 
manufacturing milk in the marketplace and incentivizes milk to move to 
the lower manufacturing class instead of to a higher performing class. 
According to MIG, the average-of mover would better move milk between 
the manufacturing classes as the market needs. MIG argued the FMMOs are 
designed to ensure processors have sufficient milk supplies for fluid 
use, but FMMOs should not be drawing milk away from Class III or IV 
when a manufacturing use would be the highest and best value for the 
milk. According to MIG, Class I does not need more milk, and FMMOs 
should not be disrupting the market to pull milk for fluid utilization. 
MIG argued in its brief that revenue neutrality is not a valid policy 
consideration without evidence to establish revenue neutrality is 
necessary to ensure a sufficient supply of fluid milk.
    A witness representing Lamers testified in opposition to the 
elimination of advanced pricing in Proposals 16, 17, and 18. The 
witness stated Class I handlers need to know prices in advance so they 
can set wholesale pricing with their retail customers.
    In its post-hearing brief, Select opposed the elimination of 
advanced pricing set forth in Proposals 17 and 18, arguing that 
testimony at the hearing made clear that the majority of producers 
prefer using the higher-of, and the majority of handlers prefer to 
maintain advanced pricing which Select believes is in the best interest 
of stability in the Class I market.

Class I and Class II Differentials

    Numerous witnesses appeared on behalf of NMPF testifying in support 
of increasing the Class I differentials as provided for in Proposal 19. 
Witness testimony centered around the themes of increased hauling 
costs, changes in milk supply and demand locations, changes in supply 
patterns resulting in longer hauls, and insufficient over-order 
premiums to cover the full cost of servicing the Class I market. The 
witnesses said the outdated assumptions embedded in the current Class I 
differentials threaten the willingness of milk suppliers to serve the 
Class I market.
    An NMPF witness argued current differentials are antiquated, since, 
other than the three southeast FMMOs, they have not been updated in 
almost 25 years. In that time, they said, fuel costs and hauling 
distances have increased due to changes in supply and demand locations. 
The witness stressed over-order premiums should not be considered an 
effective substitute for FMMO prices because they are very difficult to 
obtain and maintain at levels adequate to cover the cost of servicing 
the Class I market. The witness argued inadequate Class I differentials 
contribute to price inversions and incentives to depool, which further 
jeopardize the availability of milk to meet Class I demand.
    The NMPF witness described the methodology used to arrive at the 
proposed differential levels. According to the witness, NMPF requested 
an update of the U.S. Dairy Sector Simulator Model (USDSS) which was 
used during Order Reform as a basis for the differential levels adopted 
January 1, 2000.
    The USDSS model owners testified on the USDSS methodology, the 
updated data and parameters, and explained the results. They explained 
the USDSS model evaluates the geographic value of milk at fluid milk 
processing plants across the U.S by finding the lowest cost solution of 
assembling milk at farms and delivering it to plants. They said the 
model accounts for approximately 90 percent of the U.S. dairy 
processing and manufacturing plant capacity, and considers such factors 
as milk supply locations, transportation costs (both variable and 
fixed) associated with raw milk assembly, final and intermediate 
product distribution, per capita demand by county population, and road 
weight limits. In the model, plant capacity, products produced, and 
milk components demanded at each plant are constrained by a variety of 
government and private sources. The resulting values, said the 
witnesses, represent the value of an additional load of milk at a 
specific plant location (otherwise known as the ``marginal value'').
    The witnesses said two sets of USDSS results were provided to NMPF, 
May and October 2021, to provide marginal values for both flush and 
deficit months. According to the witnesses, the results suggest 
considerable differences between the values of milk at fluid plants 
derived from spatial economic modeling and current Class I differential 
values, with differences as large as $3.00 per cwt in some locations. 
The witnesses attributed these differences to changes in the location 
of milk production, the composition of dairy product demand, changes in 
the location of dairy product demand from regional population shifts, 
and the cost of transportation. Both witnesses discussed how modeling, 
even though complex, is a simplification of reality and that there may 
be unaccounted factors in some areas that would justify deviations from 
the model results, including local traffic congestion, geography, 
infrastructure restrictions, and price alignment across orders. The 
witnesses said the model does not account for other factors, such as 
existing business relationships and FMMO regulations, because they 
could cause a departure from a market efficient solution. Lastly, the 
witnesses noted the USDSS does not produce a base differential value; 
it merely provides the additional value needed to move milk to a 
particular location.
    While NMPF cooperative member witnesses testified on how they used 
the USDSS results to arrive at the proposed differentials, NMPF 
witnesses stated they followed the same iterative process applied 
during Order Reform, starting

[[Page 57606]]

with USDSS results and adjusting for milk movements, plant locations 
and historic price relationships.
    One witness said NMPF started with a base differential assumption 
of $1.60 per cwt, as currently contained in the Class I differentials. 
The witness said the costs embedded in the base differential (Grade A 
maintenance, balancing, and a competitive factor) are still applicable 
and those costs have not decreased over the past 25 years. The witness 
said the base differential should also serve to limit class price 
inversions, incentivize Class I milk deliveries, and ensure class price 
alignment. To accomplish these goals, the witness said that in some 
parts of the country the base differential is recommended to increase 
to $2.20 per cwt.
    One NMPF witness testified regarding the dairy farmer cost of 
maintaining Grade A status. The witness said that in order to 
participate in the FMMO program, dairy farmers incur costs associated 
with obtaining and maintaining Grade A licenses. The witness was of the 
opinion partial cost reimbursement for maintaining a Grade A license, 
which currently represent $0.40 per cwt in the base differential, 
should continue to be provided. The witness detailed standards for 
maintaining Grade A status, which include various infrastructure 
maintenance and sanitation requirements, and estimated a total current 
cost of $1.30 per cwt to meet those requirements.
    A series of NMPF witnesses testified on the regional considerations 
factored into the proposed Class I differentials contained in Proposal 
19. During their testimony they also touched on balancing costs faced 
by NMPF cooperative members and the continued need to include a 
competitive factor in the base differential. One witness described how 
the average of the May and October 2021 results was used as a starting 
point. From there, NMPF formed regional committees to evaluate the 
USDSS average results and use their local market knowledge to derive 
the final proposed differential values. According to the witness, a 
series of 19 anchor cities were selected for their proximity near the 
border of where two regions abutted. The regional committees used these 
anchor cities as common starting points to design a final Class I 
differential surface that ensured price alignment between orders. Each 
committee looked at current price relationships between plant locations 
and consumer demand areas, compared those to the USDSS averages, and 
designed a Class I differential structure that accounted for factors 
NMPF members thought were not adequately addressed in the USDSS 
results.
Northeast
    A DFA witness testifying on behalf of NMPF discussed the changes in 
the Northeast marketing area, including increased hauling costs, 
changes in the milk production and location of farm and fluid 
processing plants, and an overall increase in production costs. The 
witness said milk production in 11 of the 12 northeast states declined 
from 2000 to 2022, except for New York which saw a 31.4 percent 
increase, resulting in a small overall increase in the region's milk 
production of 2.2 percent. During this time, the witness said the 
resident population increased by 9.1 percent. The witness noted the 
geographic shift in where milk is processed due to the closure of fluid 
plants in urban areas since 2000. The witness surmised local milk 
supplies in the northeast are used to meet increasing Class II and 
Class III needs, necessitating milk to travel farther distances to meet 
fluid demand. The witness estimated transportation costs paid by 
producers in the region have increased $0.70 per cwt.
    An Agri-Mark witness also testified regarding the changing 
marketing conditions in the northeast region and described some of the 
proposed differential differences from the USDSS model. The witness 
opined that if the USDSS averages were adopted for Maine, it would 
incent producers in Maine to service Massachusetts, instead of 
remaining available to meet local demand. Therefore, the witness said 
NMPF is proposing to flatten the differentials in Maine to maintain 
current competitive relationships. NMPF is also proposing lower 
differentials in northern Vermont and New York in order to incent milk 
movements south and east. The witness said these changes from the USDSS 
average results are needed to preserve current milk movements and to 
maintain competitive relationships.
Mid-Atlantic
    An MDVA witness representing NMPF testified regarding the proposed 
differentials in the Mid-Atlantic region. The witness said MDVA 
operates two balancing plants in the region that help balance the 
market's reserves in both the Northeast and Appalachian FMMOs. 
According to the witness, there are large seasonal swings in milk 
delivered to those balancing plants, which result in significant cost 
to the cooperative and its members. The witness was of the opinion the 
base Class I differential should provide some balancing cost 
reimbursement to its members through its distribution through the 
marketwide pool. Transportation costs have also increased 
significantly, the witness said, to a point where Class I differentials 
are less effective in attracting milk from reserve supply areas to 
Class I plants. In order to meet fluid demand, the witness said 
cooperative members must pay for the additional cost through milk check 
deductions without any additional compensation through the Class I 
differential.
    The MDVA witness compared current and USDSS average values for 
multiple plant locations in the region. According to the witness, the 
regional committee focused on the need to cover additional 
transportation costs of servicing the fluid market and maintaining 
current price relationships as principles when determining deviations 
from the USDSS average results. One example cited two plants in 
Landover, Maryland and Frederick, Maryland, located approximately 55 
miles apart with a current difference in differential values of $0.10. 
The witness said the USDSS average would have resulted in a $0.35 
difference and created an artificial regulated cost advantage for the 
lower zoned plant in Frederick, Maryland. Another example was in the 
southeastern region where two Virginia plants located 15 miles apart 
and currently in the same differential zone would have seen a $0.10 
differential difference under the USDSS model average scenario. In this 
case, said the witness, the committee decided to propose the same 
differential value for the two plants in order to preserve their 
competitive relationship.
Southeast
    A DFA witness representing NMPF testified on the proposed 
differentials in the southeast region. Similar to other witnesses, 
their testimony centered on the decline in dairy farmers and the 
closure of fluid processing plants which necessitate longer milk hauls 
at a greater expense to dairy farmers, particularly cooperative 
members. The witness spoke to the unique marketing conditions in the 
southeast region, with a growing population, local fluid demand, and a 
significant milk supply deficit requiring supplemental milk supplies to 
be acquired from outside the region. The witness said the supplemental 
milk supplies are obtained at great expense to DFA cooperative members. 
The witness stated it is typical for supplemental loads to travel 
between 500-650 miles or more, and while the transportation credits in 
the Southeast FMMO provide partial reimbursement, the fund is

[[Page 57607]]

inadequate to cover the full cost. The witness said the proposed 
differentials contained in Proposal 19 would assist in covering 
transportation costs and support dairy farmers who supply the region.
Florida
    An SMI witness representing NMPF testified on the proposed 
differential for the Florida FMMO. The witness said there is an 
inadequate milk supply available in Florida to meet its Class I needs, 
necessitating significant volumes of milk deliveries from outside the 
marketing area, notably Georgia. According to the witness, Florida milk 
production is quickly shrinking, declining more than 10.9 percent in 
2022, and necessitating more than 24 percent of its milk needs to come 
from other states.
    The witness discussed Florida's significant population increase and 
high Class I utilization, which has averaged greater than 82 percent 
since 2000. The witness described significant seasonal swings in fluid 
milk needs and SMI's efforts to balance those needs through purchasing 
additional milk tankers, marketing milk to non-pool plants at below 
FMMO values when needed and buying supplemental loads at above FMMO 
values during other times of the year. The witness said weather and the 
seasonal population influx also complicate the region's milk balancing 
efforts. These dynamics make supplying the Florida region particularly 
expensive, estimating that SMI balancing costs for the first half of 
2023 were $1.33 per cwt.
    The SMI witness testified the proposed Florida differentials 
maintain the historical differential slope while more adequately 
reimbursing for transportation costs, which the witness estimated has 
more than doubled in the past 20 years, from $2.31 in 2002 to $5.98 in 
May 2023. The witness said the Florida differentials contained in 
Proposal 19 are similar to the averages of the May and October 2021 
USDSS results but were adjusted to preserve current competitive 
relationships. As a result, the witness concluded the region would be 
assured an adequate supply of milk for fluid use and fluid milk buyers 
would be better assured of equal raw product costs.
    The SMI witness was of the opinion the differentials should not be 
adjusted to reflect recently enacted Distributing Plant Delivery 
Credits in the Florida FMMO, as both are needed to ensure adequate 
supplies of fluid milk for the region.
Southeast/Southwest
    A Lone Star witness representing NMPF testified regarding the 
differentials between the southwest and southeast regions. The witness 
said the eastern portion of the Southwest FMMO and the three 
southeastern FMMOs are milk deficit regions. The witness emphasized the 
differential recommendations are designed to provide proper financial 
incentives through a steeper differential slope to move milk into and 
within those regions. The witness said other factors considered 
included keeping current city to city price relationships as well as 
competitive relationships between plants often clustered around 
metropolitan areas. While differentials in some areas were increased 
relative to the USDSS average to reflect NMPF member knowledge of milk 
movements and related transportation costs in the region, other 
differentials were lowered. The witness noted NMPF members believe the 
USDSS overestimated balancing costs for parts of Virginia and the 
Carolinas, and subsequently is proposing muted differential increases 
for those regions.
    Regarding Florida, the witness said the NMPF members accepted the 
USDSS model average output of $7.90 as the differential for Miami, 
Florida. They then worked up through the state with a priority of 
maintaining competitive relationships between plants. The only 
deviation the witness noted was Myakka City, Florida, whose current 
differential is $0.40 higher than plants in the Tampa-Orlando corridor. 
The witness was of the opinion the spread was too large, and 
consequently Proposal 19 recommends the spread be reduced to $0.20.
    In the southwest region, the Lone Star witness said, milk must move 
significant distances from the supply region in the Texas panhandle and 
eastern New Mexico to the demand centers in east Texas. The witness 
said milk routinely travels anywhere from 400-650 miles to service the 
fluid needs of the state and stressed the current differentials in the 
region are inadequate in covering transportation costs for these 
routine milk movements. Consequently, Proposal 19 generally contains 
higher proposed differentials than the USDSS model average, with 
greater increases moving northwest to southeast to incent milk to move 
where needed. The witness added there is a single differential level 
proposed for New Mexico, reflecting what the witness said was primarily 
a captive in-state market for milk.
Mideast
    A DFA witness representing NMPF testified in detail on hauling 
assembly costs associated with the Mideast marketing area. The witness 
described the region's principal supply areas as central and northeast 
Michigan, northern Indiana and northwestern Ohio, and fluid demand 
areas centering around the region's large cities of Detroit, Grand 
Rapids, Indianapolis, Columbus, and Pittsburgh. The fluid plants 
compete for a milk supply with the numerous small to medium-sized 
cheese plants in northeast Ohio, two large cheese plants in central and 
western Michigan and one large cheese plant in western Pennsylvania, 
explained the witness.
    The DFA witness testified the Mideast region has increased milk 
production 20 percent over the last 23 years, while simultaneously 
seeing a 66 percent reduction in dairy farms. The region's Class I 
utilization was 37 percent in 2022, supplied by approximately 33 
distributing plants, down from 57 in 2000. The consolidation in both 
the supply and demand sectors, increased hauling distances to fluid 
plants, along with a robust manufacturing sector, has created 
challenges in encouraging milk to meet fluid demand.
    The DFA witness estimated that Ohio assembly and delivery costs 
have increased approximately 69 percent from 2006 to 2023, attributing 
most of the increase to fuel, labor and equipment costs. The witness 
said current differentials do not provide enough financial incentive to 
move milk from supply regions to Class I plants. As a result, said the 
witness, the cost of supplying fluid milk needs is largely borne by 
cooperatives and their members.
    For the Mideast area, the DFA witness said the committee 
concentrated on a selected group of larger cities in the region to 
analyze the relative value differences. The overall objective was to 
determine the value needed to encourage milk to move from milk supply 
areas in the north and west to areas of demand. The committee started 
with Chicago, Illinois, and determined that even though no fluid plants 
operated in the Chicago region, its differential should align with 
prices of locations that supply packaged milk, which are Grand Rapids, 
Michigan, Cedarburg Wisconsin, Rockford, Illinois, and Dubuque, Iowa. 
The committee ultimately determined a $3.10 differential appropriate 
for Chicago (Cook County). From there, the witness reviewed a series of 
city pairs and provided justification for why the

[[Page 57608]]

proposed differentials were adjusted from the USDSS model average. 
Reasons given for the changes centered on distance from larger 
population centers and/or milk supply areas and providing enough 
financial incentive, in the committee's opinion, to encourage milk to 
move where needed. The witness mentioned another consideration was the 
willingness of milk haulers to deliver, referring to resistance of milk 
haulers to make the long hauls needed to deliver milk to central Ohio, 
for example.
    The DFA witness also detailed considerations for proposed 
differentials in western Pennsylvania, centering around plants in the 
Pittsburgh area, and plants in southwest Ohio and eastern Indiana. They 
said differentials were adjusted in those areas to account for what the 
committee believed were current competitive relationships. The witness 
said that, ultimately, the committee recommended more slope than the 
USDSS model by reducing the differential increases in the milk surplus 
areas of Michigan and increasing the slope when moving to the south and 
east.
    Another DFA witness spoke to increased hauling costs in the Mideast 
area. The witness said that as the number of dairy farms in the area 
has declined, so has the number of available milk haulers. Compounding 
the issue is competition with other industries who also rely on 
commercial haulers. As a result, milk hauling rates have increased as 
the fewer number of milk haulers must travel farther distances to 
assemble and deliver milk loads. The witness presented data on various 
factors that contribute to overall transportation costs, such as wages, 
diesel fuel prices, and equipment purchase costs.
    A witness from the Michigan Milk Producers Association (MMPA) 
testified on the unique Michigan marketing conditions that resulted in 
deviations from the USDSS model output. The witness said Michigan has 
experienced significant milk production growth, accounting for 68 
percent of the region's growth. Michigan milk production serves as a 
reserve supply for states south and east, which are considerably longer 
routes than when the differentials were adopted in 2000, said the 
witness. They testified current differentials are no longer adequate to 
cover current transportation costs and highlighted how the large flat 
differential zone in Michigan, covering 525 miles, makes it difficult 
to encourage milk to travel farther distances to supply fluid demand 
instead of satisfying local manufacturing plant demand. Therefore, NMPF 
proposed more, smaller pricing zones within the state to better reflect 
the cost to move milk. The witness estimated MMPA's hauling cost for 
transporting milk from mid-Michigan to eastern Ohio, approximately 287 
miles, was $1.06 per cwt per 100 miles.
    The MMPA witness testified that is has been more difficult to 
obtain over order premiums to cover increased costs because national 
retailers with more bargaining power have replaced local independent 
stores. Consequently, the witness said, national retailers with a wider 
geographic footprint and higher milk volume needs have put downward 
pressure on premiums. The witness concluded that increasing Class I 
differentials to better reflect the cost of supplying the fluid market 
would be more equitable than an increasing reliance on a dairy farmer's 
ability to negotiate over-order premiums in a magnitude large enough to 
fully cover costs.
Upper Midwest
    A Prairie Farms witness representing NMPF explained the proposed 
Minnesota and Wisconsin differentials. The witness said the USDSS 
results had too much slope between the states that would have created 
too much financial incentive to move milk out of Minnesota, creating 
difficulties for Minnesota plants to compete for a milk supply. 
Consequently, the witness said NMPF is proposing fewer differential 
zones in the Upper Midwest region to ensure a local supply could be 
maintained. Further, in that region, NMPF was cognizant to propose 
differential levels that would minimize negative impacts on producer 
blend prices. This witness opined the differentials contained in 
Proposal 19 would not fully cover the cost of moving milk the long 
distances required to service the fluid market in regions where they 
operate. However, they said, the proposed differentials would encourage 
the availability of adequate milk supplies to support milk demand in 
distant markets.
Central
    The Prairie Farms witness also testified on the proposed Class I 
differentials in the Illinois, Iowa, Missouri, and Nebraska areas. The 
witness said that in the last 20 years the cooperative has become more 
dependent on supplemental milk supplies to serve markets in Illinois 
and Missouri, while Iowa has lost milk processing capacity in the 
eastern half of the state due to plant closures. In addition, the 
decline of milk production in southeast Iowa has made it more difficult 
for Prairie Farms to stair step milk into the Appalachian and Southeast 
FMMOs to meets its supplemental milk needs. All these factors have 
contributed to changes in the region's milk movements and increased 
producer hauling costs, stressed the witness. The witness reviewed 
several equidistant Prairie Farms hauling routes and highlighted the 
disparity in differential gains. For example, some routes traveling 
approximately 300 miles may see a differential gain of $0.90, while 
other routes traveling a similar distance may only see a gain of $0.25. 
The witness stated the region's differentials need to be adjusted to 
remove some of the disparity and provide adequate financial incentive 
to supply fluid plants located in the south and east. The Prairie Farms 
witness said their cost to move milk to its four southern and 
southeastern fluid plants was approximately $5.25 to $5.50 per loaded 
mile, and costs to supply plants in central Illinois is similar.
    A DFA witness also testified to differentials proposed for the 
Central FMMO region. The witness echoed other testimony regarding 
decreased farm numbers, longer distances traveled, and increased 
hauling expenses. The witness estimated DFA hauling costs in the region 
have increased 151 percent from 2005 to 2022. The witness spoke to the 
proposed differential increases in the region. Proposal 19 would 
increase the current differential values by $1.35 in Kansas City, $1.15 
in Omaha and $1.65 in Wichita. The witness elaborated that the higher 
increase in Wichita reflects the area's lack of an adequate local milk 
supply. More specifically, the witness stated that only 27 percent of 
Wichita's demand is delivered from within a 150-mile radius, while in 
Kansas City and Omaha, 47 percent and 55 percent, respectively, comes 
from within 150 miles.
    Numerous NMPF witnesses testified about the proposed Colorado 
differentials. One DFA witness testified the USDSS model overestimated 
the amount of milk in Colorado available to meet the State's fluid 
needs because of private contractual relationships with manufacturing 
plants. Consequently, NMPF recommends deviations from the model to 
recognize current competitive relationships, said the witness. The 
witness also discussed population, milk production, and fluid demand 
similarities between Denver and other regional cities to justify 
increasing the Denver area differentials to more closely align with 
differentials in those cities. The witness said adoption of the USDSS 
model output for Colorado, without adjustments, when combined with 
other

[[Page 57609]]

changes that could result from this rulemaking would result in 
significant, unsustainable decreases in producer pay prices and, thus, 
blend price equity must be considered when making differential 
adjustments.
    Other DFA witnesses spoke in more detail on the potential producer 
price impact on Colorado dairy farmers. The witnesses testified hauling 
and feed costs in Colorado are higher than other parts of the region, 
which they believe were not properly reflected in the USDSS model. One 
witness said producer prices in Colorado currently exceed those of the 
FMMO's base zone, however, if the USDSS model average were adopted, it 
would result in producer blend prices lower than prices announced at 
the base zone, causing significant financial harm to Colorado dairy 
farmers.
Arizona
    A United Dairymen of Arizona (UDA) witness representing NMPF 
testified in support of Proposal 19. UDA is a dairy farmer-owned 
cooperative association, with 36 cooperative members and a 
manufacturing plant located in Arizona. The witness cited many factors, 
such as weather, climate, transportation, fuel, and increased costs of 
producing Grade A milk as challenges for Arizona dairy farmers. The 
witness stressed the costs of maintaining Grade A status in the State 
exceeded $2.35 per cwt. According to the UDA witness, the proposed 
Arizona Class I differentials: generally follow the USDSS model, with 
deviations made to reflect local market conditions; maintain current 
price relationships between handlers within Arizona and the surrounding 
states; and establish a smooth differential transition from surrounding 
areas.
    The witness noted UDA operates a plant in Tempe, Arizona, that 
serves as a balancing plant for the market. The witness said the cost 
of operating the plant does increase in the summer months as less milk 
volume is run through the plant when milk supplies are lower.
California
    A CDI witness testified on the process for determining the proposed 
California differentials. The witness said the goal of the California 
differentials was to recognize regional cost drivers and local market 
conditions unique to servicing California urban areas, and to maintain 
price relationships with surrounding states. In the witness' opinion, 
the USDSS model did not account for the impact on producer prices, 
which could alter pool stability and incentives to supply the Class I 
market, and region-specific cost drivers such as geography or traffic. 
Those considerations form the basis for the deviations from the USDSS 
model output NMPF proposed.
    The CDI witness provided an overview of the similarities between 
the California Central Valley and Upper Midwest milksheds to justify 
the position that the lowest differential in both regions should remain 
similar. For that reason, said the witness, NMPF proposes a minimum 
differential zone of $2.50 in California, which is similar to the 
lowest Upper Midwest differential zone of $2.55. The witness also 
discussed dwindling milk supplies, increased population, pervasive 
traffic congestion, and the closure of manufacturing plants in southern 
California as reasons for making adjustments. The witness described 
changes made in three California regions (Central Valley, Bay Area, and 
Southern California) to provide incentives for dairy farmers to serve 
the Class I market in the urban areas.
    A DFA witness also testified on California and Northern Nevada 
proposed Class I differentials. The witness advocated the maintenance 
of competitive equity between Class I and manufacturing plants in 
northern Nevada and California counties. The witness was of the opinion 
the USDSS model fell short in adequately capturing the cost of 
producing milk in California. The witness said the current 10-cent 
difference in zones is not sufficient as it does not reflect the actual 
movements of milk or unique California State regulations, taxes, 
geography, and high milk production costs. The witness stated the 
current differentials do not cover the hauling costs in a state with 
high gas prices, heavy traffic, and road weight limits. The witness 
supported testimony from the CDI witness justifying the proposed 
California differentials. The DFA witness also expressed northern 
Nevada counties have a historic competitive relationship with northern 
California, which should be preserved. The witness noted that Proposal 
19 recognizes this dynamic by proposing a $2.90 differential for the 
region.
Pacific Northwest
    A witness representing Northwest Dairy Association (NDA) testified 
on behalf of NMPF regarding the proposed differentials in the Pacific 
Northwest (PNW) region, which includes the States of Washington, 
Oregon, Idaho and Montana. NDA is a dairy farmer-owned cooperative that 
markets the milk of approximately 295 dairy farmers in Washington, 
Oregon, Idaho, and Montana, and conducts all processing and marketing 
operations through the wholly owned subsidiary Darigold. The witness 
described regional competitiveness at the farm level, ensuring 
incentives to service Class I markets, and geographic and population-
influenced cost factors were the primary reasons the proposed 
differentials deviate from the USDSS averages. The witness was of the 
opinion proposed differentials in the PNW FMMO urban areas should 
mirror those of the Central FMMO, as the urban areas of the two regions 
operate similarly. To ensure competitive equity and the balancing needs 
of distinct areas within the region, the witness said Proposal 19 
recommends fewer pricing zones than produced by the USDSS model.
    The NDA witness also described market changes similar to those of 
other witnesses: declining milk production, increased population, 
longer haul distances, and increased transportation costs. The witness 
estimated NDA transportation costs for servicing PNW Class I plants has 
increased $1.10 per cwt in the last 15 years.
    In regard to the unregulated areas of the Northwest, the witness 
used King County, Washington, as the base at $3.00 per cwt, and kept 
the zones the same as they currently exist. In counties with little to 
no milk production, the differential was reduced to as low as $2.20 in 
Idaho. For areas with higher milk production, the differentials are 
proposed at $2.55, reflecting the same level of differentials in South 
Dakota.
    In its post-hearing brief, NMPF emphasized adoption of Proposal 19 
was necessary to ensure Class I differentials would be more reflective 
of the current costs of supplying the Class I market. NMPF maintained 
that the proposal would result in Class I differentials below actual 
costs, keeping with the FMMO principle of minimum pricing. NMPF 
reiterated testimony given at the hearing regarding the continued 
relevancy of the costs associated with the base differential, and 
stressed the costs have increased since it was first adopted in 2000. 
NMPF reviewed its own testimony at the hearing on what it believes were 
the appropriate regional considerations used to propose deviations from 
the USDSS results. According to NMPF, adoption of Proposal 19 would 
only raise the regulated cost of Class I milk under FMMOs by slightly 
less than 8 percent.
    NMPF reiterated the importance of Class I prices remaining the 
highest priced class to ensure producers move surplus milk to deficit 
regions to meet Class I demand. Without such pricing

[[Page 57610]]

hierarchy, NMPF stated, milk in the higher-valued use class would not 
be pooled and it would result in non-uniform prices to producers.
    A witness representing the AFBF testified in support of Proposal 
19. The witness concurred with NMPF testimony on the increased costs of 
servicing the market since the differentials were adopted in 2000. In 
offering support for the differential adjustments, the witness said the 
purpose of the USDSS model was to mimic an ideal market solution, so it 
would be expected that actual market costs are higher. The witness 
mentioned that given the seasonality of milk demand, it could be 
considered more appropriate to start with the USDSS October 2021 
results, rather than the average. In its post-hearing brief, the AFBF 
stressed that regulated Class I differentials provide for long-term 
stability; something that cannot be assured if a larger portion of milk 
prices is negotiated through over-order premiums.
    A witness representing IDFA testified in opposition to Proposal 19. 
The witness was of the opinion NMPF did not use a consistent 
methodology when determining differential level adjustments from the 
USDSS model results. Additionally, stressed the witness, some of the 
factors NMPF considered are not relevant and/or are unevenly applied 
(dairy farm production costs, private business relationships, blend 
price impacts, and regional dairy farm competitiveness), or were 
already factored into the USDSS model (transportation costs and 
maintaining handler equity). The witness was of the opinion that if 
milk suppliers and cooperatives experienced transportation costs higher 
than those provided for in the differentials, the additional cost 
reimbursement should be negotiated through over-order premiums with 
milk buyers. The witness also took issue with what they deemed an 
undefined base differential, which was proposed at $1.60 in some areas 
and $2.20 in other areas, with what they saw as no cost justification 
for the difference.
    The IDFA witness argued the purpose of Class I differentials is to 
bring forth an adequate supply of milk for fluid use. According to the 
witness, with an FMMO Class I utilization of 27 percent, the current 
milk supply is more than adequate to serve Class I needs and there is 
no justification for increasing Class I differentials. The IDFA witness 
cited a recent retail milk demand study that found milk demand is 
elastic and, thus, the quantity demanded is sensitive to price changes. 
The witness argued any increase in price would not only hurt Class I 
sales, but also increase government purchase costs for milk used in 
nutrition and feeding programs. The witness stressed retail fluid milk 
sales have been declining and USDA should not hasten the decline by 
increasing Class I prices. The witness also added that eliminating or 
reducing the depooling of milk should not be a consideration when 
evaluating Class I differential levels. The witness said depooling is a 
necessary tool for manufacturing handlers when the Class III or Class 
IV price exceeds the blend price. They estimated that in some FMMO 
areas the Class I differential would have to increase to $41.32 per cwt 
in order to disincentivize depooling.
    The IDFA witness was of the opinion that if USDA recommends 
differential increases, they should not be increased in the three 
southeastern FMMOs as those provisions already require fluid milk 
handlers to pay transportation credits and distributing plant delivery 
credit assessments to encourage producers to service Class I demand in 
those deficit markets. The witness estimated those assessments already 
account for approximately 42 to 46 percent of the differential 
increases contained in Proposal 19.
    The IDFA witness also argued the $0.40 portion of the base 
differential attributed to maintaining Grade A status is no longer 
relevant given over 99 percent of all milk currently produced is Grade 
A. Consequently, said the witness, there is no longer a need to 
incentivize farms to become Grade A in order to service the Class I 
market and the base differential should be lowered to $1.20 per cwt.
    Two witnesses representing IDFA, Saputo and Plains Dairy, testified 
in opposition to Proposal 19 and offered support for the arguments put 
forth by the IDFA witness. The Saputo witness said increasing fluid 
milk prices may reduce the retail price spread between fluid milk and 
plant-based products, further depress fluid milk sales, and ultimately 
force fluid plants to switch from HTST to ESL processing. The witness 
speculated a further decline in HTST facilities will force cultured 
products to be made elsewhere and increase costs to consumers. In 
regard to obtaining milk supplies, the witness said Saputo pays over-
order premiums when necessary. The witness also opposed any increases 
in minimum regulated prices on the grounds that nonuniform increases 
would put some of its plants at a cost disadvantage. The Plains Dairy 
witness stated the increase from the model average results would impact 
consumer prices by $0.07 per gallon. Plains Dairy is a fluid milk 
processing facility in Texas.
    A witness representing MIG also testified in opposition to Proposal 
19 for many of the same reasons articulated by the IDFA witness. The 
MIG witness said NMPF failed to cost-justify any elements of the base 
differential, either at the $1.60 or $2.20 level, to support why it 
should be maintained. In echoing IDFA's arguments, the MIG witness also 
objected to NMPF's use of the USDSS averages as a starting point. As 
the FMMO system provides for minimum prices, the witness was of the 
opinion any evaluation of differential changes should start with the 
USDSS May model results, which represent the flush season for milk 
production. The witness said Proposal 19's problems are compounded 
because NMPF failed to use a consistent set of principles to justify 
its deviations from the USDSS results. In addition, many of the factors 
used to justify deviations, the witness said, were already factors 
considered by the model and, thus, are being double counted.
    The MIG witness characterized the NMPF deviations as substantial 
and presented a series of maps to visualize the magnitude of the 
disparate changes. The witness also pointed to areas where price 
changes are more dramatic between neighboring counties, and suggested 
such price disparities could create incentives for disorderly 
marketing. The witness deemed the Proposal 19 differentials to be 
significantly different from current differentials, and argued the 
increases are being proposed despite a lack of evidence from NMPF that 
there is a shortage of milk available to meet Class I demand. Class I 
differentials should reflect the minimum cost of serving Class I milk, 
stressed the witness. If there are additional transportation costs not 
provided for under the current differential as alleged by NMPF, the 
witness testified, those would be reflected in negotiated over-order 
premiums in the market. Instead, many areas of the country have no 
over-order premiums, which the MIG witness interpreted as an indication 
that FMMO prices are not minimums, but price enhancing. Similar to the 
IDFA witness, the MIG witness was of the opinion no changes should be 
made to the differentials in the three southeastern FMMOs until the 
full impact of the recent amendments to the transportation credits and 
establishment of the distributing plant delivery credits are known.
    Three witnesses representing Organic Valley testified in opposition 
to

[[Page 57611]]

Proposal 19. Organic Valley consists of 1,600 farmer-owners who produce 
certified organic milk, three dairy manufacturing facilities which make 
Class III and IV products and utilizes a network of co-packers to 
process and distribute Class I products. The witnesses opposed the NMPF 
proposed differentials as they would increase Organic Valley's 
obligation to FMMO marketwide pools.
    The Organic Valley witnesses described the differences between the 
organic and conventional milk markets (both at the producer and 
processors level). They were of the opinion Proposal 19 fails to 
account for these differences and would result in inefficient milk 
movements if adopted. The witnesses countered arguments that the 
conventional market balances the organic market, claiming only around 2 
percent of organic milk finds its way into conventional products.
    A witness from Aurora testified in opposition to Proposal 19. 
Aurora is a vertically integrated organic milk supplier with four 
organic dairy farms located in Colorado and Texas. The witness was of 
the opinion no justification exists to increase Class I differentials 
as the areas surrounding the Aurora plants have adequate organic milk 
supplies, something that was not accounted for in the USDSS model. The 
witness explained the organic milk market and argued its structural 
differences from the conventional milk market make any change to the 
Class I differentials as applied to organic milk unwarranted. Similar 
arguments were made by a MIG witness on behalf of Danone and Crystal 
Creamery.
    A witness for Maple Hill Creamery (Maple Hill) testified in 
opposition to Proposal 19. Maple Hill purchases grass-fed organic milk 
for processing and national distribution but does not own a fluid milk 
plant. The witness opposed the proposed Class I differentials and 
estimated their Class I marketwide pool obligation could increase up to 
80 percent as a result. The witness made arguments similar to other 
organic processors and concluded that increasing Class I differentials 
would result in a choice between paying a lower organic fixed price to 
its dairy farm suppliers and jeopardizing supply, or raising retail 
prices and jeopardizing sales.
    A witness representing Shamrock, a member of MIG, testified in 
opposition to Proposal 19. The witness said adoption of Proposal 19 
would increase their raw milk costs anywhere from 29 to 62 percent. The 
witness testified Shamrock pays over-order premiums which they believe 
cover any additional costs associated with servicing their plants in 
excess of the Class I differential value. The witness noted an 
inconsistency in NMPF methodology, as the differential for their 
Virginia plant is proposed at the USDSS model average, while the 
differential at their Arizona plant is $0.65 greater than the average.
    A witness for AE, a MIG member, also testified in opposition to 
Proposal 19. The witness was of the opinion NMPF had not provided 
justification for the Class I differential increases. They specifically 
objected to the Class I differential changes that would, in the 
witness' opinion, give its nearest competitor a $0.15 greater advantage 
than currently exists.
    A MIG member witness for HP Hood testified in opposition to 
Proposal 19. HP Hood also operates four standalone Class II plants in 
the northeast. Similar to the AE witness, the HP Hood witness testified 
the proposed Class I differentials would create competitive 
disadvantages for their plants in relation to nearby cooperative owned 
plants. The witness criticized what they believe was the lack of 
uniformity used by NMPF in developing differentials that deviated from 
USDSS results. The witness said there are ample milk supplies to meet 
Class I needs and any increase in the Class I price would only serve to 
decrease fluid milk sales.
    A witness from Turner Dairy, a MIG member, testified in opposition 
of Proposal 19. The witness objected to the continued relevance of the 
three base differential components. The witness said Turner Dairy has 
not had difficulty finding adequate milk supplies through its 
independent dairy farm supply. The witness said any Class I 
differential increases would be paid into the FMMO marketwide pool, not 
to its direct suppliers. The witness said this would make it harder to 
compete for dairy farm suppliers, particularly with competitors in the 
unregulated area to their east. Similar to other witnesses, the Turner 
Dairy witness detailed how the proposed Class I differentials would 
create competitive disadvantages for their plants relative to nearby 
cooperative plants, as well as decrease fluid milk consumption.
    A MIG witness testifying on behalf of fairlife opposed Proposal 19. 
The witness argued that if more money is needed to attract fluid milk 
supplies, it should be negotiated in the marketplace, not mandated in 
FMMO pricing provisions. The witness said fairlife regularly pays over 
order premiums for even day receiving, transportation costs, and 
quality attributes. In the witness' opinion, there are ample fluid milk 
supplies and any increase in differential would only serve to create 
market winners and losers.
    A witness from Shehadey, testified in opposition to Proposal 19. 
Shehadey operates four manufacturing plants in California, Nevada, and 
Oregon, producing Class I and Class II products. The witness argued the 
Class I differentials proposed for their plant locations should not be 
increased as the local milk supply is adequate to meet their fluid 
needs. The witness took particular objection with the disproportionate 
increase by the Fresno, California, plant in relation to their 
competitors located farther from the state's primary milk supply in the 
Central Valley. The witness added that their Oregon plant has a more 
distant milk supply relative to their other plants, and over-order 
premiums are used to compensate dairy farmers for the additional costs 
of servicing the plant.
    A witness representing United Dairy, Inc. (United) testified in 
opposition to Proposal 19. United is a fluid milk processor operating 
three plants in West Virgina, Ohio, and Pennsylvania, which are 
primarily supplied by independent dairy farms. The witness testified 
their plants receive adequate milk supplies and pay over-order premiums 
when needed to ensure their milk needs are met. The witness opined the 
market should depend on over-order premiums, not unduly high regulated 
prices, to direct milk where needed. Similar to other witnesses, the 
United witness argued FMMO prices should not be increased because it 
would negatively impact Class I sales. The witness objected to the 
uneven application of differential increases, highlighting the 
differential increases for the United plants are higher than every 
other plant in the region, even when United has had no milk supply 
shortages. A West Virginia independent dairy farm supplier of United 
also testified in opposition to Proposal 19. The witness expressed 
concern the proposed differential increases would ultimately lead to 
the closure of the independent fluid milk processors in the State, 
leaving local dairy farmers with few, if any, local market outlets, and 
would widen the nutritional gap that already exists in the Appalachian 
area as higher prices would reduce fluid milk consumption.
    A witness representing Lamer's testified in opposition to Proposal 
19. The witness said increasing Class I differentials would not benefit 
consumers or processors as higher prices would lead to a decline in 
fluid milk consumption and the closure of more fluid milk plants. The 
witness was

[[Page 57612]]

of the opinion that limiting or disallowing the depooling of 
manufacturing milk would be a more beneficial change for all dairy 
stakeholders. A post-hearing brief filed by Lamers contended the 
hearing record contains no evidence of Class I demand not being 
fulfilled, thus any increase in Class I prices is not justified. The 
brief argued that if additional transportation costs of moving milk to 
Class I plants exist, they should be negotiated through over-order 
premiums.
    A series of academic researchers testified regarding milk price 
elasticity. One researcher testified on behalf of NMPF regarding the 
potential impact to fluid milk demand as a result of regulated price 
changes. The witness referred to this as price elasticity, which 
estimates the percentage change in demand (quantity) due to a 1 percent 
change in price. The witness said any price elasticity less than the 
absolute value of 1 is considered price inelastic--a 1 percent change 
in price would result in less than a 1 percent change in demand--
implying increased revenue due to the price change would more than 
offset the decreased revenue from fewer sales.
    The NMPF witness reviewed 38 empirical studies, conducted between 
1964 and 2022, measuring milk price elasticity at the retail level. The 
witness found the study average elasticity of 0.35 percent, and a 
median of 0.2 percent, concluding milk demand is inelastic. The witness 
said consumers remain price insensitive because milk continues to be 
considered a staple food. To illustrate its price inelasticity, the 
witness elaborated the real price of milk relative to all goods and 
services has declined 7 percent since 2013, during which time milk 
demand has decreased 18.3 percent. If milk was elastic, said the 
witness, a decline in price should have resulted in an increase in 
demand. The witness reviewed other factors which they believe are 
driving decreased milk consumption, including increased competition in 
the beverage market from new products and alternative beverages, an 
increase in the amount of food consumed away from home, and the lower 
proportion of young kids in the population.
    The NMPF witness evaluated the average increase in differentials 
contained in Proposal 19, $1.49 or an 8.6 percent Class I price 
increase, to estimate the impact on demand. Assuming a 55 percent 
retail price transmission rate (1 percent change in the Class I price 
would cause a 0.55 percent change in the retail price), the witness 
estimated Proposal 19 would lead to a 1.6 percent decrease in demand. 
The witness concluded the decrease in demand would be lower than the 
increase in Class I revenue, resulting in a net increase of dairy 
farmer revenue.
    Another researcher testified on behalf of IDFA. The witness 
presented the results of a study evaluating the impact milk price 
changes have on the consumption of milk (in five disaggregated 
varieties) and various alternatives, including soft drinks, bottled, 
water, juices, and for the first time considered plant-based 
alternatives. The witness utilized weekly scanner data from 2017 
through August 2023 to evaluate three distinct time periods (pre-COVID, 
COVID and post-COVID). The witness estimated the data represented 
approximately 84 percent of the milk volume sold at retail outlets, or 
64 percent of overall milk volume. The witness attributed the remaining 
36 percent to milk sales through untracked retail, foodservice, 
schools, and shrinkage. The witness noted it is likely the elasticity 
for the unaccounted milk volume was highly inelastic.
    The IDFA witness said the study found the own-price elasticities 
for traditional white, flavored, and lactose-free milk to be elastic, 
and when all five categories of milk were combined, it had an 
elasticity of -1.26 in the post-COVID time period. Utilizing some of 
the NMPF researcher's assumptions (8.6 percent increase in Class I 
prices and a retail price transmission rate of .55 percent), the 
witness estimated adoption of Proposal 19 would result in an overall 
5.98 percent decrease in fluid milk sales and a 2.1 percent increase in 
gross dairy farmer revenue. The witness concluded this study revealed 
retail fluid milk sales are more sensitive to price changes than 
previously thought. The witness also noted other demand studies that 
utilize AMS estimated fluid milk sales, not weekly scanner data, do not 
reflect the current retail marketplace because they incorporate highly 
inelastic sales to schools, colleges and universities, long-term care 
and senior living facilities, hospitals, and correctional institutions.
    A third academic researcher, also testifying on behalf of IDFA, 
provided results of a study evaluating the market effects of Proposal 
19. Looking at milk production, fluid milk consumption, and producer 
price statistics since 2000, the witness concluded there are sufficient 
milk supplies nationally to meet Class I demands. The witness was also 
of the opinion sufficient milk supplies, at reasonable prices, exist 
for the high Class I utilization FMMOs (the Appalachian, Southeast, and 
Florida), because retail prices in the three markets were below those 
of a 30-city average retail milk price when compared to other regions 
of the country. The witness commented that elasticity studies not 
accounting for non-dairy alternatives are not representative of the 
current retail market. The witness reviewed recent fluid demand studies 
and concluded adoption of Proposal 19 would increase fluid milk prices, 
decrease consumption, and result in more milk use in manufactured 
products.
    A post-hearing brief submitted on behalf of Select supported 
increasing Class I differentials, but not to the levels contained in 
Proposal 19. Select contended deviations from the USDSS results made by 
NMPF may be appropriate but disagreed with the type and extent of those 
included in Proposal 19. Select took exception to the proposed 
adjustments in the mideast and southwest regions where they have member 
farms. Select noted reasons for making deviations were not applied 
uniformly, especially in areas that have similar supply and demand 
environments. Select stated increased transportation costs and shifts 
in milk production and processing locations justify increasing Class I 
differentials and offered support for using the average of the May and 
October 2021 USDSS results, with minor adjustments and smoothing of the 
surface as the USDA would find appropriate.
    A post-hearing brief submitted on behalf of MIG opposed adoption of 
Proposal 19, arguing hearing evidence supports lowering, not raising, 
Class I differentials. MIG cites the abundance of milk available to 
serve the Class I market and FMMO adjustments to shipping percentages 
as evidence to deny Proposal 19. MIG reiterated its objection to the 
methodology used and deviations made by NMPF in developing the proposed 
differentials. The brief contended raising Class I differentials would 
be disorderly because it would lower Class I demand and aggravate 
challenges already faced by fluid milk processors. MIG also noted Class 
I differential changes should not be considered until the impact of 
recent changes to transportation cost-related provisions in the 
Appalachian, Florida, and Southeast FMMOs were known.
    A post-hearing brief submitted on behalf of IDFA opposed Proposal 
19 on the grounds its adoption would cause market disorder by raising 
fluid milk prices, decreasing fluid milk consumption, harm consumers, 
and divert milk into manufacturing uses. IDFA reiterated hearing 
testimony in its

[[Page 57613]]

brief regarding the price elasticity of fluid milk and concluded 
adopting Proposal 19 would reduce fluid milk consumption by 5.98 
percent, resulting in over 2.2 billion pounds of milk being diverted to 
manufacturing uses.
    Similarly, IDFA objected to NMPF's methodology in determining the 
differential levels offered in Proposal 19. IDFA objected to NMPF's use 
of dairy farm production costs to justify increases to the Class I 
differentials and referenced existing milk production as more than 
adequate to meet fluid milk demand. IDFA maintained Class I 
differentials should instead be lowered by $0.40 per cwt because the 
Grade A maintenance cost consideration is obsolete and inaccurate.
    A MIG witness testified in support of Proposal 20, seeking to 
reduce the base differential to $0.00. The witness' testimony centered 
around the continued relevance of the cost components currently 
provided for in the base differential: Grade A maintenance, balancing, 
and Class I incentive costs. The witness was of the opinion the base 
differential results in market enhancing prices that induce 
overproduction and reduce fluid milk consumption. The witness said that 
since almost all U.S. produced milk meets Grade A standards, it is no 
longer necessary to provide compensation through Class I differentials 
for those costs as they are not unique to producers supplying the Class 
I market. They argued these costs are already provided for in market-
clearing Class III and IV prices where most of the U.S. milk supply is 
utilized.
    The MIG witness said the balancing cost factor is no longer 
justified as fluid milk processors have either invested in 
infrastructure to balance their own milk supply or pay over-order 
premiums to their suppliers for balancing services. The witness was of 
the opinion incorporating balancing costs within the Class I price 
results in processors paying for balancing services they do not receive 
or paying twice for such services--once through the Class I price and 
again in an over-order premium. Lastly, the MIG witness argued the 
$0.60 Class I incentive cost factor is no longer necessary to attract 
adequate supplies of fluid milk given the low, and continually 
declining Class I utilization.
    Witnesses from MIG member companies testified in support of 
Proposal 20. MIG's members echoed the previous MIG testimony on the 
relevance of the base differential cost factors in the current market 
environment. In particular, the MIG witnesses argued that through plant 
investments, particularly ESL processing or additional milk silos, 
combined with over-order premiums paid to their milk suppliers, they 
are directly paying for their individual milk balancing needs. The 
witnesses all opined that through the base differential they are being 
double charged for such services. All MIG members testified that if 
additional monies are needed for balancing services or to obtain 
adequate milk supplies, it is more appropriate for those costs to be 
negotiated in the marketplace and paid directly to their milk 
suppliers, rather than as part of a regulated minimum price shared with 
all pooled producers.
    Another MIG witness testified regarding the relevancy of the base 
differential in the current marketplace. The witness was of the opinion 
the base differential should be reduced to $0.00, and if cost recovery 
is needed by producers, it can be negotiated with milk buyers. The 
witness utilized the USDSS model to compare the value of Class I and 
Class III milk at the county level. The witness presented the results 
and explained in some parts of the country, where Class III milk is 
more valuable, it would take additional incentives to service a Class I 
plant rather than remain at the higher valued manufacturing plant. In 
other areas of the country, namely the southeast, northeast, and 
California, the value of Class I is higher, representing the cost to 
balance the region's Class I demand. The witness said the national 
average value of the differences was negative $0.38, indicating 
nationally, it is more valuable for milk to service Class III plants. 
The witness drew the conclusion this analysis supports the argument for 
lowering the base differential to $0.00 and allowing fluid plants to 
negotiate and pay premiums directly to their milk suppliers.
    A post-hearing brief submitted on behalf of MIG reiterated its 
witnesses' testimony that the base differential is no longer 
economically justified. MIG stated the current oversupply of Class I 
milk is caused, in part, from high FMMO blend prices. According to MIG, 
adoption of Proposal 20 would correct this disorder by allowing a 
greater proportion of fluid milk costs to be negotiated and paid 
directly to suppliers. The brief reviewed MIG witness testimony on the 
relevancy of the costs associated with the base differential and the 
steps taken by its fluid milk processor members to balance and obtain a 
milk supply.
    A Lone Star witness, appearing on behalf of NMPF, testified in 
opposition to Proposal 20. The witness argued a base differential of 
$0.00 would result in the elimination of any Class I differential for 
large portions of the U.S., amounting to approximately $650 million 
annually, with no guarantee the money could be recovered through over-
order premiums. Additionally, said the witness, the lower differentials 
would lead to disorderly marketing conditions through increased 
occurrences of negative PPDs, higher volumes of depooled milk, and 
reduced or eliminated incentives to supply the Class I market. The 
witness stressed that costs to maintain Grade A status and balance the 
market's milk supply are real and significant. The witness said 
adoption of Proposal 20 would be akin to adopting individual handler 
pools in much of the country, an idea which they said has been found to 
cause disorderly marketing conditions.
    The NMPF witness maintained milk has an inelastic demand, so any 
reduction in Class I prices will not have a significant impact on Class 
I sales. The witness also said that despite opposition testimony 
regarding the perils of setting regulated prices too high, there are 
also negative consequences for setting the regulated price too low. In 
the witness's opinion, dairy farmers still face a market power 
imbalance when negotiating prices above FMMO minimums, reiterating 
previous testimony on the difficulty cooperatives have faced when 
negotiating and maintaining over-order premiums.
    The NMPF witness concluded by emphasizing the objective of the FMMO 
system is to set prices to ensure a sufficient quantity of milk for 
fluid use. The witness stressed providing for prices that reflect the 
current costs of supplying the market as demonstrated through NMPF 
testimony should be a priority of this proceeding.
    In their post-hearing brief, NMPF argued Proposal 20 incorrectly 
assumes the cost of servicing Class I demand has not increased and 
reiterated witness testimony on the continued relevancy and need for 
the base differential. NMPF stressed that costs recognized in the base 
differential continued to be incurred by dairy farmers in servicing the 
Class I market and took exception with the position such costs could be 
adequately recovered through over-order premiums. NMPF maintained Class 
I demand is inelastic and reiterated the need for Class I prices to 
continue to be the highest priced class in order to ensure an adequate 
supply.
    The AFBF witness also expressed opposition to Proposal 20. The 
witness testified the cost factors provided for in the base 
differential are still relevant and in fact higher than when the 
differential was adopted. The witness

[[Page 57614]]

suggested the Department consider raising the base differential and 
provided current cost estimates for each of the three factors, which 
would result in a base differential increase of approximately $0.60 per 
cwt. The witness stressed the importance of the base differential in 
contributing to the proper alignment of classified prices which they 
considered a critical element of orderly marketing. The AFBF's post-
hearing brief reiterated its witnesses' hearing testimony and concluded 
adoption of Proposal 20 would lead to disorderly marketing conditions.
    A post-hearing brief filed by Lamers offered support for Proposal 
20. Lamers stated its adoption would better reflect the real value of 
milk and all four classes would have a closer price relationship. 
Lamers asserted high Class I differentials are no longer needed to 
supply the fluid market given that 98 percent of milk produced is Grade 
A. A post-hearing brief submitted by New Dairy also offered support for 
Proposal 20.
    Select's post-hearing brief expressed opposition to Proposal 20 and 
asserted a base differential of $1.60 should be maintained. Select 
opined the cost of maintaining Grade A status still exists and has 
increased, as have the costs associated with balancing and competing 
for a milk supply.
    A post-hearing brief submitted by Edge, while not offering support 
or opposition to Proposals 19 or 20, did contend Class I milk prices 
should not be raised beyond necessary levels and not be raised merely 
to offset the negative producer impact of increasing make allowances.
    The AFBF witness also testified in support of Proposal 21, seeking 
to increase the Class II differential from $0.70 to $1.56 per cwt. The 
witness explained the proposed differential reflects updated drying 
costs based on the current NFDM make allowance. The witness did not 
believe the proposed increase would lead to the substitution of Class 
IV powders in lieu of Class II fresh milk. The witness estimated that 
adoption of Proposal 21 would increase annual FMMO marketwide pool 
values by $122 million and reduce the likelihood of negative PPDs and 
depooling. These views were reiterated in AFBF's post-hearing brief.
    Several witnesses representing MIG including Turner Dairy; HP Hood; 
AE; Shamrock; CROPP; Aurora; Shehadey; Crystal Creamery; and fairlife 
testified in opposition to Proposal 21. The MIG witnesses indicated 
adoption of Proposal 21 would result in Class II standalone plants 
choosing not to participate in the FMMO system, putting fully regulated 
Class I plants with Class II production at a competitive disadvantage. 
This sentiment was emphasized by witnesses from Turner Dairy and 
Shehadey, whose fully regulated Class I plants also produce notable 
volumes of Class II products. The witness from Crystal Creamery 
provided an analysis of CME NFDM and Class II nonfat solids prices, 
projecting an increase of 20 to 50 percent in the use of Class IV 
nonfat solids if Proposal 21 was adopted. Lastly, a witness from 
fairlife predicted adoption of Proposal 21 would cause some 
manufacturers to reformulate products in order to avoid paying the 
higher Class II price.
    In its post-hearing brief, MIG reiterated hearing testimony and 
added that cream, a Class II product, must be made with fluid milk in 
accordance with the standards of identity established by the U.S. Food 
and Drug Administration. As such, according to MIG, a pooled Class II 
manufacturer of cream could not reformulate and, further, would 
experience an estimated 3.5 percent increase in its FMMO marketwide 
pool obligations.
    Several witnesses representing IDFA, including Saputo, Galloway, 
and Lakeview Farms, also testified in opposition to Proposal 21. The 
witness for Saputo indicated the demand for Class II skim solids is 
likely to decrease if Proposal 21 is adopted, as alternative milk 
solids would have a greater substitution value. Further, according to 
the witness, costs to consumers for cream would likely increase.
    The witness for Galloway testified that adoption of Proposal 21 
would not increase blend prices or limit depooling and negative PPDs, 
as alleged, because Class II manufacturers would instead utilize more 
Class IV powder ingredients in lieu of fresh milk. In the witness' 
opinion, increasing the Class II differential would only serve to 
promote disorderly marketing through the displacement of the local milk 
supply and permanent investment of equipment to enable the use of Class 
IV ingredients. The witness said once a manufacturer makes the costly 
capital investment decision, they do not switch back to use fresh milk 
in the future. The witness estimated adoption of Proposal 21 would 
result in a $99.4 million loss to producers through the use of lower 
valued Class IV ingredients. A witness from Lakeview Farms supported 
the statements of other witnesses, emphasizing the likely increase in 
costs to the customer. This witness added that innovation of more oil-
based formulations to offset the price volatility of dairy fat would 
lead to a disruption in the dairy supply chain.
    In its post-hearing brief, IDFA reiterated testimony from the 
hearing which stressed that there is already an adequate supply of milk 
for Class I and Class II needs, and opined the current Class II price 
formula is working well as is. As such, according to IDFA, there is no 
evidence that suggests a need to increase the Class II differential. 
IDFA argued further that farmers are likely to receive lower net prices 
as a result of Proposal 21 due to the anticipated substitution of lower 
cost Class IV NFDM for Class II nonfat solids. Lastly, IDFA focused on 
the likely disproportionate impact of Proposal 21 on Class I handlers 
that also manufacture Class II products. Without the ability to depool, 
these handlers could not take advantage of lower NFDM prices, IDFA 
wrote.
    An MMPA witness appearing on behalf of NMPF also testified in 
opposition to Proposal 21. The witness' testimony mirrored other 
witnesses cautioning that adoption could cause substitution with Class 
IV powder ingredients. The witness said not only does the Class II and 
Class IV price difference need to be considered, but so does the 
significantly lower transportation cost of powder versus fresh milk. 
Under the current Class II differential, Class II milk already has an 
incentive not to be pooled, said the witness. Increasing the 
differential would only heighten the incentive and create competitive 
disadvantages for Class I plants making Class II products, while 
simultaneously lowering marketwide pool values. In its post-hearing 
brief, NMPF added that adoption of Proposal 21 may incent the practice 
of substituting less expensive milk powder for fresh milk to make Class 
II products. NMPF also elaborated on its members' concerns regarding 
the likely increase in depooling of Class II milk if Proposal 21 was 
adopted.
    USDA received post-hearing briefs related to Proposal 21 from three 
additional stakeholders: New Dairy; Select; and Lamers. New Dairy 
expressed its opposition to the AFBF's Proposal 21, emphasizing that 
the current milk supply is sufficient, and it shared the concerns of 
other hearing participants regarding the potential competitive 
disadvantages for Class I handlers manufacturing Class II products. 
Select explained that the AFBF's proposal deviates from the rationale 
and methodology USDA utilized to establish the Class II differential 
during Order Reform and, thus, according to Select, Proposal 21 likely 
overstates an appropriate Class II

[[Page 57615]]

differential. Further, Select was of the opinion increasing the Class 
II differential would discourage the use of fresh milk and cream in 
lieu of Class IV ingredients. Lastly, Lamers expressed its concern that 
the adoption of Proposal 21 would lead to disorderly marketing and 
stated no evidence was presented to suggest a need to increase the 
Class II differential.

Discussion and Findings

    An FMMO (or ``order'') is a regulation issued by the Secretary of 
Agriculture (Secretary) that places certain requirements on the 
handling of milk in a defined geographic marketing area. FMMOs are 
authorized by the AMAA. The declared policy of the AMAA is to ``. . . 
establish and maintain such orderly marketing conditions for 
agricultural commodities in interstate commerce. . . .'' 7 U.S.C. 
602(1). As specified by the AMAA, the principal means of meeting the 
objectives of the FMMO program are through classified milk pricing and 
the marketwide pooling of returns. This rulemaking concerns and is 
limited to classified milk pricing.
    FMMOs announce prices each month for milk received by plants during 
that month, according to its use classification. Since 2000, the FMMO 
program has used product price formulas that rely on the wholesale 
price of bulk products to determine the minimum classified prices 
handlers pay for raw milk in the four classes of utilization. Class III 
and Class IV prices are announced on or before the 5th day of the 
following month to which they apply. The Class III and Class IV price 
formulas form the base, also known as the mover, from which Class I and 
Class II prices are determined.
    The Class I price is announced in advance of the applicable month. 
It is determined by adding the Class I differential assigned to the 
plant's location, plus the average of advanced Class III and Class IV 
prices (computed by using the most recent two weeks' DPMRP data 
released on or before the 23rd of the preceding month), plus $0.74. The 
Class II skim milk price, announced at the same time as the Class I 
price, is determined by adding $0.70 per cwt to the advanced Class IV 
skim milk price. Thus, the advanced prices pertaining to milk marketed 
in a particular month use the same formulae as the calculation of Class 
III and IV prices for milk marketed in that same month, but the 
specific data are from different time periods. The Class II butterfat 
price is announced at the end of the month, at the same time as the 
Class III and Class IV prices, by adding $0.007 per pound to the Class 
IV butterfat price.
    Component prices are based on prices for the selected bulk products 
collected through the AMS-administered DPMRP, which collects weekly 
wholesale prices for four manufactured dairy products in various bulk 
package sizes (cheese, butter, NFDM, and dry whey powder). Weekly 
average prices for cheddar cheese (the weighted average of block and 
barrel prices), butter, NFDM, and dry whey are reported in the 
NDPSR.\1\ Butterfat prices for milk used in products in each of the 
four classes is determined through surveyed butter prices. Protein and 
other solids prices for milk used in Class III products are derived 
from surveyed cheese and dry whey prices, respectively. The nonfat 
solids price for milk used in Class II and Class IV products is 
calculated from surveyed NFDM product prices.
---------------------------------------------------------------------------

    \1\ Official Notice is taken of the Notice of Equivalent Price 
Series: 77 FR 22282 (April 18, 2012). The National Dairy Product 
Sales Report was deemed as equivalent to the price series previously 
released by the National Agricultural Statistics Service.
---------------------------------------------------------------------------

    The butterfat, protein, other solids, and nonfat solids prices are 
derived through the weighted average monthly NDPSR survey prices of 
each corresponding commodity, minus a manufacturing (make) allowance, 
multiplied by a yield factor. The make allowance factor represents the 
fixed and variable processing costs manufacturers incur in making raw 
milk into one pound of product. The yield factor represents the 
approximate quantity of product that can be made from a cwt of milk 
received at the plant, assuming a certain component composition of the 
milk and the final products. Among other factors used to determine 
yield, the milk received at a plant is adjusted to reflect farm-to-
plant shrinkage compared to farm weights. This relates to the basic 
question of how much milk is required to make a pound of product.
    This product pricing system was implemented as a part of Order 
Reform on January 1, 2000. 64 FR 70868 (Dec. 17, 1999). While 
individual pieces of the price formulas have been updated occasionally 
since that time, this proceeding is the first time since their adoption 
that the Department is considering a comprehensive update to all four 
classified price formulas 68 FR 7063 (Feb. 12, 2003); 71 FR 78333 (Dec. 
29, 2006); 78 FR 24334 (Apr. 25, 2013).
    The objective of this proceeding is to evaluate whether market or 
other economic conditions have changed and if the price formulas need 
to be updated to reflect current conditions, including economic and 
technological factors related to processing, transportation, and other 
relevant market functions or services. Twenty-one proposals, divided 
into five main topic areas, were considered: milk composition factors--
two proposals; surveyed commodity products--four proposals; Class III 
and Class IV formula factors--six proposals; base Class I skim milk 
price (often referred to as the ``higher of'')--six proposals; and 
Class I and Class II differentials--three proposals.
    The record supports the findings that some price formula factors 
should be amended to reflect current market conditions that were 
evidenced in this proceeding. The recommended changes, which are 
discussed in detail below, include:
    1. Milk Composition Factors: Update the factors to 3.3 percent true 
protein, 6 percent other solids, and 9.3 percent nonfat solids.
    2. Surveyed Commodity Products: Remove 500-pound barrel cheddar 
cheese prices from the DPMRP survey and rely solely on the 40-pound 
block cheddar cheese price to determine the monthly average cheese 
price used in the formulas.
    3. Class III and Class IV Formula Factors:
    a. Update the manufacturing allowances as follows:
    i. Cheese: $0.2504;
    ii. Butter: $0.2257;
    iii. NFDM: $0.2268; and
    iv. Dry Whey: $0.2653.
    b. Update the butterfat recovery factor to 91 percent.
    4. Base Class I Skim Milk Price: updating the formula as follows:
    a. Class I milk used in ESL products: The average of the advanced 
Class III and Class IV skim milk prices, plus a rolling monthly 
adjuster. The rolling monthly adjuster would be equal to the average of 
the difference between the higher-of and the average-of, for 24 months, 
with a 12-month implementation lag period.
    b. Milk used in all other Class I products: the higher-of the 
advanced Class III or Class IV skim milk prices for the month.
    5. Class I and Class II differentials: Update the Class I 
differentials to generally reflect the United States Dairy Sector 
Simulator May results contained in evidence.

Milk Composition Factors

    Milk composition factors contained in the product price formulas 
represent assumed component levels of skim milk on a cwt basis. These 
factors were adopted on January 1, 2000. Currently, the formulas assume 
3.1 pounds of true

[[Page 57616]]

protein, 5.9 pounds of other solids, and 9 pounds of nonfat solids in 
100 pounds of skim milk.
    The level of assumed components in milk ultimately impacts minimum 
regulated prices paid by handlers, although the impact varies since 
there are variations in how components are used to value milk between 
FMMOs. All handlers regulated by the Arizona, Southeast, Florida, and 
Appalachian FMMOs pay for milk used in all four classes on a volume 
(cwt) basis, regardless of the components contained in the skim milk 
(referred to as skim/fat pricing). Simply put, handlers pay for the 
pounds of skim and pounds of butterfat in milk they purchase from dairy 
farmers. In the remaining seven FMMOs, handlers pay for manufacturing 
milk based on the actual pounds of components in milk they purchase 
(referred to as multiple component pricing). Milk used in fluid milk 
products (Class I) is paid based on the skim and butterfat pounds 
delivered, regardless of the components contained in the milk. Changing 
the milk component factors primarily impacts Class I minimum prices 
paid by fluid milk processors in all 11 FMMOs, and to a lesser extent 
manufacturing handlers purchasing milk for Class II, III, and IV uses 
on skim/fat FMMOs.
    Proponents of changing the milk component factors argue actual 
average milk component levels in farm milk have increased since January 
1, 2000, and milk should be priced to buyers to reflect the value of 
those components. NMPF proposes (Proposal 1) component levels at 
observed 2022 levels (3.39 true protein, 6.02 other solids, and 9.41 
pounds of nonfat solids). NMPF also proposes an updated methodology 
whereby components could be updated once every three years, without a 
rulemaking proceeding, if the nonfat solids levels in FMMO producer 
skim milk changed by 0.07 percentage points or more from the level 
stated in regulation. In its proposal, NAJ seeks an automatic annual 
update, with no change threshold to be met (Proposal 2).
    Both NMPF and NAJ argue that because component levels in producer 
milk have risen but are still accounted for in the price formulas at 
2000 levels, the difference between Class I prices and manufacturing 
milk prices (Class III and IV) has narrowed. Put another way, milk used 
in manufacturing in the multiple component FMMOs is paid based on 
actual component levels, so producers are paid for all component pounds 
delivered to manufacturing plants (approximately 85 percent of FMMO 
manufacturing milk is pooled on the 7 multiple component orders). 
Consequently, payments for milk delivered to manufacturing plants 
increase as component levels delivered to those plants increase. 
However, milk delivered to Class I plants is paid on a fat/skim basis 
whose formulas contain the assumed component levels at issue in this 
proceeding. Thus, as milk component levels have risen, Class I plants 
have continued to pay for milk based on the static component levels 
contained in the formulas. Proponents argue the result has been a 
narrowing between fluid and manufacturing prices causing marketing 
challenges, especially in the milk deficit markets in the southeastern 
region that must compete to procure a supplemental Class I milk supply 
with manufacturing milk demands in multiple component orders. 
Proponents also stressed the narrowing of the difference between Class 
I and manufacturing milk prices increases the occurrence of price 
inversions and depooling.
    The record of this proceeding reveals FMMO component levels in raw 
milk have increased since January 1, 2000, most notably since the mid-
2010s. Milk component data is not available before 2000 because the 
prior methodology for pricing milk did not require milk composition-
level assumptions. The Order Reform decision did not address 
specifically why these assumptions were adopted. However, since 
component levels observed in FMMO skim milk in 2000 were 3.1 percent 
true protein, 5.9 percent other solids, and 9.0 percent nonfat solids, 
it is reasonable to assume they were set at those levels because at the 
time they were representative of all pooled milk in the FMMO system. 
Evidence reveals that from 2000, component levels were relatively flat 
with only a slight increase through the mid-2010s. Beginning in 2016, 
observed data show a marked increase in component levels. The data also 
clearly show component levels throughout the country vary by season, 
with levels lower in the spring and summer, and higher in the fall and 
winter. Hearing testimony revealed numerous reasons for the recently 
observed milk component increases, including genomics in dairy cattle 
selection and breeding, higher cull rates of less productive cattle, 
and improvements in cattle nutrition and animal husbandry.
    Opponents of increasing component levels, primarily fluid milk 
handlers, argued three general reasons an increase is not justified. 
First, fluid milk handlers, who would be primarily impacted by these 
proposals, do not receive producer milk at the proposed component 
levels. They contend higher component milk is delivered to 
manufacturing plants, leaving the lower component milk for fluid milk 
handlers. Second, fluid milk handlers testified they receive no 
additional market revenue for higher components in milk because their 
sales are on a volume basis (i.e., gallons) not on the skim component 
levels in their fluid milk products. Therefore, they argued, they 
should not be charged for additional skim components that have no 
additional market value in their products. Third, opponents argued 
updating component levels also would unduly harm manufacturing handlers 
in the skim/fat orders who pay for milk based on a skim/fat basis, as 
explained earlier. They argue the proposed component levels are higher 
than those delivered to plants, both fluid and manufacturing, in the 
four skim/fat orders. An evaluation of the record evidence for each of 
these claims follows.
    First, opponents of increasing component levels argued fluid milk 
handlers do not receive milk containing the levels of components 
proposed. Testimony from fluid milk handlers during the hearing was 
mixed. Some fluid milk handlers would not reveal component levels for 
the Department to consider, citing confidentiality concerns. Other 
fluid handlers, who did offer data, showed a range of average component 
levels in skim milk received: true protein ranged from 3.03 to 3.63 and 
other solids ranged from 5.83 to 6.10. Many producers who testified 
also discussed the rise in their farm component levels because of the 
decisions and investments made at the farm. While some producers could 
cite data, for example true protein tests ranged from 3.12 to 3.83, 
many who could not cite specifics did discuss a general increase in 
their component levels.
    Second, opponents argued that because component levels have no 
bearing on the volume of milk sold, they should not be required to pay 
higher Class I prices for higher components that provide no additional 
market revenue. The record clearly shows fluid milk handlers sell fluid 
milk products based on volume, which is why prices are based on skim 
and butterfat pounds purchased. Proponents of changing the composition 
levels provided anecdotal evidence, such as marketing claims and 
product description, to assert fluid milk products can garner 
additional market revenue for higher component levels. However, no data 
were provided to prove there is a general industry-accepted norm or 
practice that allows handlers to recover a value for nonfat

[[Page 57617]]

milk solids in excess of the nutrition label claim.
    Finally, opponents claimed that increasing component levels in 
minimum price calculations would unduly harm manufacturing handlers in 
the skim/fat orders. The record contains actual component tests of 
producer milk in the multiple component pricing orders because 
producers in those orders are paid based on the pounds of components 
sold. However, component data for the four skim/fat orders could only 
be estimated as producers in those orders are paid based on the volume 
of skim milk and butterfat produced, not component levels. Record 
evidence contains USDA estimated data showing component levels in milk 
have consistently been above the current assumptions in all four fat/
skim orders. Estimated protein and other solids levels of skim milk 
pooled in the three southeastern orders have been above the assumed 
levels in most months since January 2018, and below the levels 
contained in Proposal 1 in all months. Estimated protein and other 
solids levels of skim milk pooled in the Arizona Order have been above 
the assumed levels in all months since January 2018, and above the 
levels contained in Proposal 1 some months. Dairy Herd Improvement 
Association component data offered at the hearing, although by no means 
all encompassing, is consistent with estimated data provided by USDA. 
In the four skim/fat orders, average protein levels from 2020-2022 were 
above the current formula assumptions but below those contained in 
Proposal 1.
    This decision considers how the price formulas should be updated to 
reflect current market conditions. Milk composition levels are only one 
piece of the formulas being addressed. However, as with all the factors 
adopted at the time of Order Reform and updated through subsequent 
rulemakings, the question before the Department is what level is 
representative of current supply and demand conditions as required by 
the AMAA. Some parties argued milk composition factors should not be 
changed because not all milk would meet the levels proposed by NMPF. 
Price formulas in the FMMO system have never had factors that assumed 
all milk was identical. Since FMMOs utilize a national pricing system, 
price formulas have always relied on averages to set levels 
representative of market conditions. The nature of an average means 
some milk will fall above or below the specified level. This was true 
with the milk composition levels that were adopted in 2000, and similar 
to other factors, such as make allowances, survey commodity prices, and 
butterfat recovery percentages.
    With sufficient data showing increasing milk composition levels, 
the record supports updating the formulas to reflect current market 
conditions. The question becomes what levels best represent the entire 
U.S. market. The review of record evidence described earlier reveals 
many factors should be considered: the average component levels of 
pooled producer milk, the variability in milk components regionally and 
seasonally, the discrepancy in milk component levels received by fluid 
milk handlers compared to manufacturing handlers, and the variability 
of component levels from farm to farm. These factors were not 
specifically mentioned as being considered in the Order Reform decision 
when the current levels were set. However, given the evolution of the 
dairy industry in the past 24 years, they are relevant for 
consideration in this proceeding.
    Fluid milk handlers argued the component levels should not be 
increased because Class I plants do not receive component levels as 
high as proposed. While the record does not contain a comprehensive 
data set of milk component levels received at fluid milk plants, it 
does contain data on milk component levels of all milk pooled on the 
FMMOs, as well as evidence submitted by producers on the component 
levels in their milk, and information from fluid milk handlers on the 
component levels they receive. Importantly, many fluid plant operators 
testified the milk components received at their respective plants are 
higher than currently assumed in the formulas, but less than what has 
been proposed.
    While this decision finds milk composition levels should be 
increased, the levels in Proposal 1 are not appropriate, assumed 
component levels applicable to the raw milk whose price is impacted by 
these assumptions. Given the variability and seasonality of component 
level information contained in the record, this decision finds an 
average of component levels in skim milk over a recent time period 
appropriate. Based on evidence that component levels have been 
increasing at a more rapid rate since the mid-2010s, this decision 
finds the average component levels from 2016-2022 the most appropriate 
time period to represent producer milk currently priced on a skim/fat 
basis. Accordingly, this decision recommends the following: 3.3 percent 
true protein, 6.0 percent other solids, and 9.3 percent nonfat solids. 
Estimated data for the three southeastern orders show component levels 
exceeding these proposed levels in recent months, thus addressing 
opponents' claims that manufacturing handlers in the southeastern 
orders receive lower component milk than other FMMOs. The 
recommendation balances the cumulative body of evidence and testimony 
presented at the hearing.
    During the hearing and in their post-hearing brief, Edge proposed, 
in addition to updating skim component levels, that the assumed 
butterfat level of 3.5 percent should also be updated to facilitate 
risk management. Updating butterfat levels is outside the scope of this 
proceeding as no proposal contained in the hearing notice offered such 
a change. As risk management programs utilizing FMMO prices are 
maintained in the private sector, such programs can adapt as necessary 
to facilitate the use of updated price formulas.
    NMPF and NAJ also proposed alternative updating and implementation 
schedules for the milk composition levels. NMPF proposed the 
composition levels be updated once every three years, but only if there 
was a 0.07 percent or greater change in nonfat solids levels, compared 
to what was in regulation. For example, if Proposal 1 was adopted, milk 
composition factors could only be updated three years later if the 
average nonfat solids levels in pooled FMMO milk was 9.48 percent (9.41 
x 1.007). NAJ proposed the levels be updated annually, regardless of 
the magnitude of increase. Both proponents requested a 12-month 
implementation lag because of the implications such a change could have 
on producer risk management positions. Edge proposed a longer 
implementation lag of 15\1/2\ months because of risk management 
positions tied to the DRP.
    The development and use of dairy risk management tools is 
relatively new, and the Department has never before been asked to delay 
implementation of FMMO changes in consideration of risk management. 
However, testimony made clear producers' concern regarding the negative 
financial impact that could occur if regulatory changes did not account 
for the growing use of risk management tools.
    Producers testified to the use of numerous market-based risk 
management tools, including the CME futures and options, and the two 
USDA-Risk Management Agency approved insurance products, DRP and 
Livestock Gross Margin--Dairy (LGM-Dairy). Use of risk management tools 
by producers testifying at the hearing varied sharply, with some not 
using any tools, some

[[Page 57618]]

only enrolling in the DMC program, and fewer using DRP insurance or the 
CME hedging tools. The record reflects 32 percent of U.S. milk 
production was covered in 2022 under DRP, and with a much smaller use 
of LGM-Dairy. Producers testifying were particularly concerned with the 
implementation schedule for the initial change, as risk management 
positions could be as far out as 18 to 24 months. Evidence shows that 
from 2018 through 2022, almost all CME contracts, 97.34 percent, 
expired within 12 months. According to producers, any change to the 
milk composition level assumptions during the contract period could 
result in basis risk to producers not covered by the hedge. A CME 
witness testified they saw a 54 percent drop in contracts with 
expiration dates over 360 days in 2022 as compared to 2018, which the 
CME attributed to the industry already anticipating a regulatory change 
based on the outcome of this hearing.
    Record evidence depicted the concern regulatory changes could have 
on risk management tools, particularly the impact on the usability of 
these tools during a transition period. Risk management usage must be 
considered against the interest of other producers who do not use risk 
management tools, since it would delay recognition of the higher 
components in producer milk. While risk management use is not a factor 
in determining what the milk component levels should be, it is 
appropriate when determining an implementation timeframe to attempt to 
mitigate potential financial harm to producers who utilize risk 
management tools. Accordingly, this decision finds a 12-month 
implementation lag appropriate, beginning when other changes from this 
proceeding become effective. This delayed implementation should cover 
hedge positions for the vast majority of producers utilizing these 
tools. In addition, as this recommended decision indicates the 
Department's initial position, producers making risk management 
decisions are aware of the potential changes, should they be approved 
by producers.
    Lastly, this decision does not support an automatic update of the 
milk composition levels, as contained in Proposal 1 or Proposal 2. It 
is clear from the record that many factors, as described earlier, 
should be considered when making a change. Those factors can only be 
considered through the course of a rulemaking.

Surveyed Commodity Products

    USDA administers the DPMRP to gather weekly wholesale prices of 
four manufactured dairy products. Average survey prices are released 
weekly in the NDPSR, and monthly average commodity prices are released 
by AMS on or before the 5th of the following month. The monthly product 
prices are then used in the FMMO price formulas to determine component 
values in raw milk. The same four commodities have been surveyed since 
2000. NASS administered the survey from 2000 to 2012; submitting data 
was voluntary until 2008, and then mandatory and verified from 2008 to 
2012. AMS has administered the survey since 2012 with the data being 
mandatory and audited 73 FR 34175 (June 17, 2008).
    This proceeding is considering four proposals that would add or 
remove a variety of products in the DPMRP survey. Because FMMOs enforce 
minimum raw milk pricing, the overarching question for the Department 
in this decision is whether the current surveyed commodities are an 
appropriate representation of market clearing, wholesale commodity 
products whose prices provide an accurate reflection of the minimum 
value of raw milk. DPMRP currently surveys cheddar cheese, butter, 
nonfat dry milk, and dry whey. Proposals submitted in this proceeding 
offer changes to the cheese survey (Proposals 3, 4, and 6) and changes 
to the butter survey (Proposal 5). No proposals seek changes to the 
NFDM or dry whey surveys.
Cheese Survey
    Currently, FMMOs utilize a weighted average DPMRP survey price of 
40-lb cheddar cheese blocks and 500-lb cheddar cheese barrels to 
determine the protein price used in the Class III price formula. 
Although both products meet the definition of cheddar cheese, the 
different package styles reflect that their intended uses are 
different. Cheddar cheese barrels are intended to be further processed 
into processed cheeses. Cheddar cheese blocks can also be used for that 
purpose, but they are produced with the intention of use in a natural 
cheese with minimal further processing (for example cutting into 
consumer packages or shredding.) DPMRP weights the cheese price by the 
volume of surveyed blocks and barrels, which according to record 
evidence, is typically around 50 percent blocks and 50 percent barrels.
    Proposal 3 seeks to drop barrels from the survey and solely rely on 
a survey of 40-lb blocks. Proponents offered a few reasons for dropping 
barrels. First, they believe barrels are overrepresented in the survey 
because the weighting methodology is based on the production 
percentages included in the survey and not actual production across the 
entire cheddar cheese market. Proponents believe the percentage of 
cheddar cheese manufactured and priced off 40- pound block prices is 
significantly higher than 50 percent of the U.S. natural cheese market. 
Second, proponents argue that having what amounts to two products in 
the survey results in an average price that is not representative of 
either blocks or barrels. They say this has been particularly evident 
since 2017, when market prices between blocks and barrels began to 
significantly diverge, both in magnitude and direction, from the 
historical average difference of $0.03. Barrel prices were even 
occasionally higher than blocks (historically, block prices have been 
higher than barrel prices). Proponents argued that when barrel prices 
have been well below the assumed $0.03 difference, the current 
weighting methodology results in a lower average cheddar price than 
would have been if the two prices were weighted in accordance with 
actual, total production of each product. Members of NMPF testified a 
block-only survey would contain adequate survey volume to be 
representative of the cheese market.
    Opponents of dropping barrels asserted: (1) it is not appropriate 
to eliminate approximately half of the current cheese survey volume; 
(2) barrels are a market-clearing product and should continue to be 
included in the survey; and (3) blocks and barrels together represent 
the national cheese market as they are both commodity products with 
different commercial uses. Opponents also disputed the claim that most 
cheese is priced off the block market.
    During the hearing, Edge offered an alternative that would reweight 
the survey average price based on the U.S. production volume of blocks 
and barrels as determined by NASS, instead of volume from respondents 
to the AMS survey. They opined barrels should not be removed from the 
survey because in months where the barrel price exceeded blocks, the 
Class III price would have been lower than it otherwise was, and 
consequently producer revenue would be less. Instead, Edge argued a 
better solution to the issue of overweighting barrels was to use a 
weighting methodology reflective of actual U.S. cheddar cheese 
production.
    Proposal 4, submitted by AFBF, seeks to add 640-lb blocks of 
cheddar cheese to the survey. This type of cheddar cheese is made using 
the same process as 40-lb blocks and differs only in the final 
container for the cheese curd. Both sizes represent an intermediate 
product requiring further processing before it

[[Page 57619]]

can be consumed. The proponent's primary justification is the 
additional survey volume that would be added. The AFBF agreed with NMPF 
that barrels are overrepresented in the survey, and their proposed 
solution is to add survey volume through the addition of 640-lb blocks. 
This argument implicitly assumes the accuracy of milk valuation is 
improved when a larger volume of cheese is surveyed.
    Opponents to adding 640-lb blocks argued: (1) most 640-lb blocks 
are already priced off 40-lb blocks, so their inclusion would not 
enhance price discovery; and (2) 640-lb blocks are typically customer-
specific which would exclude those blocks from the survey. The 
opposition is premised on the additional survey volume not adding new 
price information either because the prices are already reflected in 
the 40-pound block price, or because the customized products are value-
added and should not be included for minimum pricing.
    Proposal 6, offered by CDC, seeks to add mozzarella cheese to the 
survey. Proponents argue mozzarella is the largest volume of cheese 
produced in the U.S., and revenue from mozzarella products should be 
captured in the survey and ultimately reflected in prices paid by Class 
III handlers. Further, proponents argued a higher Class III price 
should be reflected in producer prices to offset increasing farm 
production costs.
    Opponents argued there is no one standard of identity for 
mozzarella cheese, making it difficult to delineate what mozzarella 
product would have a substantial volume of reportable sales to 
represent the market value of mozzarella cheese. In addition, opponents 
stated no manufacturing cost data is available to be evaluated for 
inclusion in the manufacturing allowance calculation for cheese. 
Lastly, opponents asserted mozzarella is not a market-clearing product 
and therefore should not be considered when determining minimum prices.
    While there were three proposals offering changes to the cheese 
survey, two of them lack data and evidence to support adoption. First, 
the addition of mozzarella is not supported by the record. The record 
reveals multiple standards for different mozzarella cheese products, 
but no evidence was presented to show which of those would be 
appropriate to survey as an improvement in finding a minimum value for 
milk. Furthermore, no evidence was presented on what would define a 
commodity mozzarella product, rather than a value-added product, which 
is a general rule for inclusion in the DPMRP. Proponents offered 
information on mozzarella in consumer sized packages (e.g., mozzarella 
sticks), but little to no evidence on what should be considered a 
commodity mozzarella product. Evidence shows that a majority of what is 
considered mozzarella production is driven by customer specification 
and would not meet any of the standards of identities offered, 
indicating it would be considered a value-added product and excluded 
from the survey. Lastly, the record indicates mozzarella products are 
already typically priced based on the 40-pound cheddar cheese block 
price. Therefore, adoption of Proposal 6 would only result in 
significant costs associated with determining a commodity mozzarella 
product to be surveyed and the ongoing cost of surveying said product, 
without adding measurable new price information to the DPMRP cheese 
survey. Accordingly, Proposal 6 is denied.
    The record lacks evidence to support adoption of Proposal 4, adding 
640-lb blocks. The record reflects widespread industry consensus that 
640-lb blocks are typically priced off 40-lb blocks. Because of this 
price relationship, numerous industry witnesses testified that no new 
price information would be captured by including 640-lb blocks. In 
addition, several witnesses testified 640-lb blocks are largely made-
to-order on long-term price contracts which would exclude the sales 
from the survey because of these marketing characteristics. No data was 
presented to evaluate whether any additional price information gained 
through inclusion of 640-lb blocks would offset the burden (lack of 
efficiency) to both the industry and USDA for their inclusion. 
Accordingly, Proposal 4 is denied.
    The Department considered the idea presented by Edge to reweight 
blocks and barrels in the survey to reflect total U.S. cheddar cheese 
production volumes by packaging type, instead of survey volumes. 
However, the record lacks evidence regarding the market dynamics of 
barrel production to analyze how this idea would be implemented, or the 
impact it may have on prices, to evaluate whether it would result in a 
more appropriate cheese price. In addition, as is made clear below, 
this decision finds that surveying two cheese products is no longer an 
appropriate method for providing orderly marketing in today's 
marketplace, rendering further discussion of a more proper weighting 
methodology unnecessary.
    What is left to consider is whether 500-lb barrels should remain in 
the survey. When determining which products are appropriate to be 
included in surveys, the Order Reform Final Decision is instructive. As 
described in the decision, ``The importance of using minimum prices 
that are market-clearing for milk used to make cheese and butter/nonfat 
dry milk cannot be overstated. The prices for milk used in these 
products must reflect supply and demand and must not exceed a level 
that would require handlers to pay more for milk than needed to clear 
the market and make a profit.'' 64 FR 16026, 16094 (April 2, 1999). To 
effectuate that objective, FMMOs use survey prices of market-clearing 
commodity products.
    In the Order Reform decision, both block and barrel cheese were 
included in the survey to increase the sample size and give a better 
representation of the cheese market. Since Order Reform was 
implemented, an evaluation of which products should be included in the 
cheese survey has occurred twice. In 2000, shortly after implementation 
of Order Reform, the Department considered both the addition and 
subtraction of cheese products into the survey, which at that time was 
administered by the NASS. 65 FR 20094 (April 14, 2000) In 2007, the 
Department again considered changing the products in the cheese survey, 
including the removal of 500-lb cheddar cheese barrels. 72 FR 6179 
(Feb. 9, 2007) In both proceedings, the Department maintained that 
inclusion of both 40-lb blocks and 500-lb barrels was representative of 
the cheese market at the time.
    While not contained in the hearing notice of the 2000 proceeding, 
there was testimony at the hearing for incorporation of other cheeses 
in addition to cheddar. The idea was denied because ``If the survey 
included other descriptions of cheddar and other types of cheese, such 
as mozzarella, it would not be possible to consider the reported price 
as representative of the value of any particular product.'' 67 FR 
67906, 67926 (Nov. 7, 2002) This reasoning illustrates an important 
consideration of which products should be contained in the survey; 
products whose resulting prices are representative of a distinct 
product.
    For all other product pricing formulas (butter, nonfat dry milk, 
and dry whey), DPMRP only surveys one product. The butter survey 
collects prices of 80 percent salted Grade AA butter, the NFDM survey 
collects prices of USDA Extra Grade NFDM, and the dry whey survey 
collects prices for USDA Extra Grade dry whey. While all three of these 
products can be in varying bulk packaging sizes as specified in 
regulation, the product itself is

[[Page 57620]]

essentially the same. 7 CFR 1170.8 Consequently, the resulting survey 
prices represent single, distinct products.
    The same cannot be said of the two cheddar cheese products 
surveyed. Forty-pound block cheddar cheese is typically colored, and 
primarily sent for further processing into consumer type packages such 
as ``cut and wrap'' and shredded products. Barrel cheese, on the other 
hand, is typically white (uncolored) and used primarily for processed 
cheese and cheese-flavored products. The hearing record demonstrates 
the two products are not interchangeable but rather are produced for 
two distinctly different uses which have their own supply and demand 
factors. These fundamental qualities have not significantly changed 
since Order Reform. At the time of Order Reform, and during the 
subsequent two rulemakings considering changes to the cheese survey, 
the prices of blocks and barrels were relatively close, and it was 
determined the additional volume added with the inclusion of barrels 
was a benefit to orderly marketing as it ensured a robust survey 
sample.
    Testimony and evidence presented showed the historical price 
alignment of the two products, estimated at $0.03 per pound, until 
2017. Proponents argued the market changed significantly in 2017 when 
there was a dramatic increase in price volatility both within each 
product and in the relationship between the two products. To determine 
statistical validity of that claim, the differences in the monthly 
average block and barrel prices from 2001-2023 were analyzed to 
identify breaks in the structure of the block-barrel spread. The 
analysis found December 2016 to be a statistically significant month, 
indicating the period between 2001 to 2016 and 2017 to 2023 were 
statistically different in terms of the block-barrel spread volatility. 
Historically, prices for blocks and barrels were similarly priced. From 
2001-2016, the block-barrel spread averaged $0.01 per pound, while from 
2017-2023 the spread significantly increased to $0.115 per pound.
    When surveying prices of two products that recently are so 
divergent, the resulting average cheese price does not represent either 
of the products surveyed. For example, in October 2020, cheddar block 
prices averaged $2.5692 per pound and cheddar barrel prices averaged 
$0.6052 per pound lower at $1.9640 per pound. The weighted average 
cheese price for October used to compute FMMO component prices was 
$2.2921, a price reflecting neither of the two survey products. 
Accordingly, after careful analysis of the record, this decision finds 
the DPMRP cheese survey should only include 40-lb cheddar cheese 
blocks. Evidence reveals a clear and statistically significant shift in 
the cheddar markets occurred in 2017, which witness testimony 
attributed to a number of market factors including plant investments 
and increased production of white whey. As a result, inclusion of both 
blocks and barrels in the cheese survey has resulted in average cheese 
prices used in FMMO formulas that are not representative of any one 
cheese product. Therefore, this decision recommends adoption of 
Proposal 3.
    There was significant testimony regarding how cheddar barrel makers 
would be impacted if 500-lb barrels were no longer surveyed. It was 
clear there was no industry consensus, not even between barrel makers, 
on the impact. What is paramount to any rulemaking is to ensure FMMO 
provisions provide for orderly marketing conditions, as required by the 
AMAA. The ultimate consideration is which set of bulk, market-clearing, 
commodity type dairy products provide the most accurate and efficient 
means of determining the minimum value of milk components. One facet of 
this is to ensure prices used in the formula best represent the 
fundamental products selected for their purpose. As described above, 
that goal is not being met by using both blocks and barrels in the 
survey.
    One concern expressed by some barrel cheese manufacturers is that 
the Class III price resulting from a block-only calculation would often 
be too high to ensure a profitable return to barrel cheese makers. 
Multiple considerations are worth noting. One, there are numerous 
styles of cheese represented in Class III. Manufacturers of each have 
no guarantees on their net returns, and, hence, manage their business 
by taking minimum pricing into account. To that end, there are many 
steps remaining in this rulemaking process, including publication of a 
final decision, producer referendum, and if passed, an implementation 
period. These steps should allow barrel manufacturers ample time to 
determine if changes are needed in their business practices to adjust 
to the prices that would result from this recommended price survey. As 
FMMOs only enforce minimum regulated prices on pooled milk, it should 
not be overlooked that barrel manufacturers choose whether to pool milk 
subject to minimum prices.
Butter Survey
    Currently, FMMOs utilize the monthly average DPMRP survey price of 
80 percent salted Grade AA butter in 25-kilogram and 68-pound boxes to 
determine the butterfat price used in all 4 classified pricing 
formulas. Proposal 5 seeks to add unsalted butter to the survey. 
Proponents argue the volume of U.S. butter production captured by the 
survey has been decreasing, and adding unsalted butter would increase 
the sample size and yield more robust survey results.
    Testimony in opposition to Proposal 5 asserted the production of 
unsalted butter is mostly manufactured to a particular customer order. 
Because the lack of salt results in a shorter shelf life, unsalted 
butter is generally not manufactured unless its sale is imminent. On 
the other hand, because salted butter can be stored, when milk needs to 
clear the market and butter manufacturers lack a buyer, they will make 
salted butter to store and sell later. Opponents also noted unsalted 
butter is typically exported, often facilitated through premium-
assisted sales, rendering those sales unreportable.
    The record lacks evidence to support adoption of Proposal 5. 
Although data was entered showing the amount of unsalted butter graded 
by the USDA Dairy Grading Program tripled between 2005 and 2022, the 
USDA butter grading program is voluntary; hence, the data does not give 
a complete picture of the U.S. butter market. Furthermore, there was no 
indication regarding what percentage of the graded butter volume would 
be reportable given testimony noting the structure of the unsalted 
butter market would likely make a large share of it nonreportable. No 
data was presented to evaluate whether any additional price information 
gained through inclusion of unsalted butter would outweigh the burden 
to both the industry and USDA for its inclusion. In fact, the record 
demonstrates that unsalted butter is not a market clearing product 
given its shorter shelf-life and on-demand production.
    The record evidence supports salted butter as the market clearing 
butter product and continuation as the only butter product in the 
survey. In addition, as discussed in evaluating the cheese survey, 
having two commodity products surveyed (such as blocks and barrels) can 
have the unintended consequence of resulting in a component price that 
does not represent either product produced. As no price information was 
entered into evidence to evaluate how salted and unsalted butter prices 
compare, the Department

[[Page 57621]]

could not determine if a similar situation might occur by adding 
unsalted butter to the survey. Accordingly, Proposal 5 is denied.

Class III and Class IV Formula Factors

    The Class III and IV formula factors include four distinct 
elements--manufacturing (make) allowance, butterfat recovery, farm-to-
plant shrinkage, and nonfat solids yield.
a. Make Allowances
    Make allowances represent the costs of converting raw milk into the 
four manufactured dairy products surveyed by USDA. The current make 
allowance levels were determined through a 2007 rulemaking that became 
effective October 1, 2008, and are as follows ($/per pound): cheese--
0.2003; butter--0.1715; NFDM--0.1678; and dry whey--0.1991. The 2007 
rulemaking used an average of two surveys: a voluntary, unaudited 2006 
nationwide cost survey conducted by the Cornell Program on Dairy 
Markets and Policy (CPDMP), and a mandatory, audited 2006 cost survey 
of plants located in California conducted by the CDFA. This proceeding 
must determine whether manufacturing costs have increased such that a 
change from the current levels is warranted, and if so, what are 
appropriate levels.
    Four manufacturing cost data sets were entered into the record for 
consideration in this proceeding. The first was conducted by the 
University of Wisconsin, on behalf of USDA, and was a voluntary survey 
of manufacturing plants throughout the U.S. (2021 survey). This survey 
was similar to the 2006 CPDMP survey used to determine current make 
allowances, as the primary researcher authored both. The 2021 survey 
collected cost information provided from manufacturing plants of cheese 
(10 plants), butter (12 plants), NFDM (27 plants) and dry whey (8 
plants). Annual data submitted by plants primarily represented calendar 
year 2019, and included labor, utilities, non-labor processing, 
packaging, general and administrative, and return on investment cost 
categories. The 2021 survey results were presented as total averages, 
and high and low-cost plant averages.
    The 2021 survey methodology was similar to the 2006 study, except 
for the allocation of non-allocated costs. Some fixed or overhead costs 
could not be allocated directly. Some costs were inherently direct 
costs but were not collected in a manner that allowed them to be 
assigned to a particular processing activity or product. When that 
occurred in previous studies, unallocated costs were allocated on a 
solids basis, which testimony revealed to be a common practice, 
according to some manufacturers. In some facilities making multiple 
products, such as butter and powder plants, not all plant operators had 
the infrastructure to allocate costs to the different products. A 
common example was plant utilities wherein the plant only had a single 
electric meter. If an operator utilized 70 percent of the solids 
received at the plant in butter, then 70 percent of the unallocated 
costs (e.g., electricity) were allocated to butter production, and the 
remaining 30 percent were allocated to NFDM production. This allocation 
method was referred to by the study author as the ``non-
transformation'' method.
    In the 2021 survey, the author used what they believed to be a 
better method for addressing costs the manufacturer could not directly 
allocate. Unallocated costs were allocated based on an estimation of 
the degree of processing transformation the raw milk underwent to 
transform into a manufactured product. On a scale from 1 to 10, 
products with minimum processing (liquid whey) were assigned a 1, while 
products with a high degree of transformation (whey protein 
concentrate) were assigned a 10. The survey author argued this somewhat 
subjective and ordinal measure of costs could provide a more logical 
allocation of certain costs that were inarguably not properly 
attributed through the non-transformation cost allocation method. The 
most obvious example was the highly energy consuming process of drying 
for NFDM powders. For example, operating a milk dryer requires 
significant energy, resulting in an assumption that it was more 
appropriate for a higher percentage of the plant's energy costs to be 
attributed to its powder production.
    A second data set was a survey conducted by the same author, 
administered on behalf of IDFA, seeking to capture more current costs 
and increase the number of respondents. This survey, referred to as the 
2023 survey, was similar to the 2021 survey except for two elements. 
First, the plants that voluntarily submitted data were different in 
number and type: 18 cheese, 13 butter, 15 NFDM, and 9 dry whey plants 
participated. The survey author explained that while the number of 
participating plants were similar for butter and whey across both 
surveys, the structure of the plants was noticeably different. 
Consequently, most of the variability in average costs between the 2021 
and 2023 surveys is attributed to the plant sample, rather than actual 
cost increases over time. For example, the 2021 butter plants surveyed 
tended to be larger than the 2023 butter plants surveyed, accounting 
for a significant portion of the cost difference between the two 
surveys. Some witnesses at hearing also noted the 2023 survey captured 
2022 costs, a time of historically high inflation which has since 
moderated.
    The second notable difference was the 2023 survey used the non-
transformation methodology of allocating unallocated costs on a solids 
basis. The survey author indicated mixed industry feedback on the 
transformation allocation methodology used in the 2021 survey, as many 
participants stated allocating costs on a solids basis is standard 
practice. To facilitate comparison of the two surveys the author also 
presented updated 2021 survey results using the non-transformation 
allocation methodology.
    In support of a separate data set, mandatory and audited 2004-2016 
California manufacturing cost survey results, conducted by the CDFA, 
were entered. These surveys formed the historical data used to forecast 
current costs in the CA Forecast described below. The 2006 CDFA study 
was used by USDA when determining the current FMMO make allowances.
    The fourth data set, entered on behalf of IDFA, was a result of a 
statistical model that used data from the 2004-2016 California 
manufacturing cost surveys and other known input prices and 
productivity data (for example, the producer price index) to project 
future California manufacturing costs, referred to hereinafter as the 
CA Forecast. The study author testified the model predictions were a 
better estimate of costs than a simple trend analysis since they 
accounted for the impacts of other factors, such as accelerating 
inflation, that are known to describe changes in manufacturing costs in 
California. Unlike the 2021 and 2023 surveys which evaluated six cost 
categories (processing labor, utilities, packaging, non-labor or 
utilities processing, general and administrative, and return on 
investment), the CA Forecast only estimated three cost categories 
(labor, utility, and other). Other costs were defined as the remaining 
costs after labor and utility costs were deducted. Inasmuch as the CDFA 
results were used by USDA when previously amending make allowances, 
proponents argued this statistical estimation of what CA manufacturing 
costs might have been for 2022 would be a helpful indicator to validate 
other manufacturing cost data entered into the record.

[[Page 57622]]

    These data sets were the basis of the manufacturing allowance 
levels proposed by stakeholders at the hearing. Two sets of make 
allowance levels were offered ($/pound):

----------------------------------------------------------------------------------------------------------------
                                                  Proposal 7                   Proposals 8 and 9
                                                ----------------------------------------------------------------
                    Product                                    IDFA/WCMA    IDFA/WCMA    IDFA/WCMA    IDFA/WCMA
                                                     NMPF        year 1       year 2       year 3       year 4
----------------------------------------------------------------------------------------------------------------
Cheese.........................................       0.2400       0.2422       0.2561       0.2701       0.2840
Dry Whey.......................................       0.2300       0.2582       0.2778       0.2976       0.3172
NFDM...........................................       0.2100       0.2198       0.2370       0.2544       0.2716
Butter.........................................       0.0210       0.2251       0.2428       0.2607       0.2785
----------------------------------------------------------------------------------------------------------------

    NMPF asserted that their proposed levels take a balanced approach 
between recognizing increased manufacturing costs and the impact to 
producers if there is a significant increase from current levels. They 
testified that while they evaluated the 2021 survey when developing 
their proposal, the levels they ultimately proposed were a consensus 
judgment of all NMPF members. By their own description, the proposal is 
not intended to reflect the entirety of current manufacturing costs. 
NMPF witnesses argued that their proposal would update make allowances 
to be a closer reflection of manufacturing costs, but further increases 
could not be justified because of the potential impact to producers. 
They argued that until a mandatory cost survey can be conducted to 
provide assurances of accuracy in the calculation of manufacturing 
costs, any increases larger than they proposed would reduce producer 
revenue, lower already slim (if any) margins, and negatively impact the 
availability of adequate supplies of milk for fluid use. They 
considered such consequences disorderly.
    NMPF stressed current make allowances are too low and have resulted 
in cooperative reblending as a method of sharing losses among 
cooperative members who own manufacturing plants. NMPF witnesses also 
testified to receiving reduced premiums from manufacturing plant 
customers as they attempt to recoup costs not covered by the current 
make allowance levels. Reduced and/or deferred plant investment caused 
by inadequate make allowances was also a theme discussed by many 
witnesses. Cooperative witnesses spoke of the disproportionate burden 
on cooperatives with balancing plants, which inherently have higher 
manufacturing costs as they do not operate continuously at full 
capacity because of the market-wide balancing role they necessarily 
assume.
    NMPF cooperative witnesses and dairy farmer members presented 
evidence on increasing farm production costs and slim farm margins. 
They opined that the impact to producers should be considered when 
determining appropriate make allowance levels.
    WCMA and IDFA offered separate, but identical proposals. Their 
proposed make allowance levels were derived from the average of the 
2023 study and the CA Forecast, plus a $0.0015 marketing cost factor. 
The proposals contained a 4-year implementation schedule with 50 
percent of the increase implemented in year 1 and the remaining 50 
percent implemented evenly across the next 3 years. Proponents offered 
a phased implementation schedule in recognition of the impact that 
sudden, large increases in make allowances would have on producer 
revenue.
    WCMA and IDFA witnesses asserted there are limits to a 
manufacturing handler's ability to lower costs through efficiencies. As 
make allowances have not been increased in over 15 years, the witnesses 
stated plants have reached the limit on capturing cost efficiencies, 
and inadequate make allowances are now impacting innovation and capital 
investments. Manufacturing handlers testified their costs of 
manufacturing have increased and are in line with the 2021 and 2023 
survey results. As a consequence of inadequate make allowances, the 
witnesses said classified prices are overvaluing raw milk. To 
substantiate the claim, witnesses compared producer mailbox prices with 
FMMO blend prices. In regions where mailbox prices (which contain 
premiums and deductions reflecting reblending) are below blend prices, 
the witnesses asserted regulated prices are too high, as manufacturers 
have lowered market premiums to make up for high manufacturing costs.
    The record clearly demonstrates that make allowance levels are not 
reflective of the costs manufacturers incur in processing raw milk into 
the finished bulk products of cheese, butter, NFDM, and dry whey. This 
was one of the only facts to which all participating parties agreed and 
offered evidence in support, as discussed above. However, there were 
divergent views on what should constitute adequate make allowance 
values going forward.
    Since 2000, when product pricing was adopted, FMMO decisions have 
consistently relied on surveys of observed manufacturing costs to 
determine proper make allowance levels. Previous make allowances have 
been derived in whole, or in combination with, surveys conducted by 
CPDMP, CDFA, and the USDA Rural Business Cooperative Service. The 
importance of relying on actual, observed costs cannot be overstated. 
FMMO price formulas determine the classified prices handlers pay to 
dairy farmers. It is important that all variables reflect actual market 
conditions.
    While the use of modeling is helpful for policy analysis, the 
evidentiary record of this proceeding contains adequate observed market 
data to determine make allowance levels without the need to rely on 
model assumptions. Modeling involves a host of assumptions made by the 
modeler, as was described by the CA Forecast author, which result in 
estimates with a wide confidence interval. In other words, cost 
estimates could have a wide range of possible values consistent with 
the model. The confidence interval for the cost estimates widens when 
some indexes used to forecast are not specific to dairy manufacturing. 
Economic modeling was considered and rejected during Order Reform as a 
replacement for the Basic Formula Price. This decision affirms the 
Department's long-held position that this type of modeling, requiring 
extensive assumptions, is not an appropriate methodology for 
determining make allowances when superior information is available. As 
it is common for participants to not reveal confidential information 
such as manufacturing costs, the cost surveys contained in evidence 
provide the best available information on observed costs for this 
proceeding. Accordingly, this decision does not find justification for

[[Page 57623]]

using the CA Forecast in determining appropriate make allowances 
levels.
    In opposition to Proposals 8 and 9, cooperatives and dairy farmer 
members offered substantial testimony regarding the potential impact to 
dairy farmers should make allowances be significantly increased. 
Accordingly, they recommend adoption of the NMPF proposal as it 
attempts to temper the impact to producers.
    FMMOs are designed to provide for orderly marketing through 
classified prices paid by handlers and marketwide pooling to determine 
average minimum blend prices paid to producers. As FMMO formulas are 
market-oriented, the product prices that drive classified prices are 
chosen to reflect current supply and demand conditions. This was last 
reiterated by the Department in 2013, writing ``when the supply of milk 
is insufficient to meet the demand for Class III and Class IV products, 
the prices for these products increase as do regulated minimum milk 
prices paid to dairy farmers; because the milk is more valuable and the 
greater value is captured in the pricing formulas.'' 78 FR 9248 (Feb. 
7, 2013). Further, the Secretary is expressly authorized in the AMAA to 
set prices to reflect ``. . . the price of feeds, the available 
supplies of feeds, and other economic conditions which affect market 
supply and demand for milk or its products. . . .'' 7 U.S.C. 608c(18). 
This concept was discussed and validated by a Federal court and is 
relevant to this proceeding. Bridgewater Dairy, LLC et al. v. USDA, No. 
3:07-cv-104, 2007 WL 634059 (N.D. Ohio, 2007). Therefore, the potential 
impact to producers remains an inappropriate factor in determining make 
allowance levels. While many stakeholders look to the FMMO program to 
provide stability, it is not within FMMO authority to support dairy 
farmer income.
    Accordingly, record evidence does not support adoption of Proposal 
7, whose make allowances levels are not reflective of observed costs 
provided in evidence and is designed to dampen the impact to producers.
    A vast majority of hearing participants supported a USDA-
administered, mandatory, and audited survey as the most appropriate 
method for obtaining observed cost data to determine make allowance 
levels. Some witnesses asserted make allowances should not be changed 
until such a survey is administered and results published. Conducting 
such a survey is not currently authorized by law. The lack of a 
mandatory survey has not been reason to delay two previous updates to 
make allowance levels, and its continued lack of existence now is not a 
reason for delaying such an update in this proceeding. As discussed, 
the record of this proceeding clearly demonstrates manufacturing costs 
have increased since make allowance levels were last changed. Given the 
body of evidence, this decision finds it appropriate to increase make 
allowances to ensure the price formulas better reflect manufacturing 
costs and provide for more orderly marketing conditions.
    The record reveals the voluntary, unaudited nature of the 2021 and 
2023 surveys are met with reluctance by some stakeholders, particularly 
the producer community. Questions regarding plant sampling, cost 
allocation methodology, and capturing of a high-cost time period 
expressed on the record are legitimate considerations. Issues with the 
results of voluntary, unaudited surveys are not new to the process of 
determining make allowances. Similar situations occurred in both the 
2006 and 2007 rulemakings. In both instances, make allowances were 
determined by using parts of different survey results. The record of 
this proceeding supports the same considerations.
    What remains for this recommended decision to determine are proper 
make allowance levels given the survey data contained in evidence: the 
2021 survey; the 2023 survey; and the 2016 CA survey. The record does 
not support consideration of the 2021 survey results that relied on the 
transformation cost allocation method for allocating unallocated costs. 
Hearing participants expressed skepticism of this method as it is 
standard industry practice to allocate costs on a solids basis. 
Although the study author explained how the transformation numbers were 
assigned to products, the record does not contain sufficient evidence 
to validate the new methodology. Whether or not the transformation 
methodology is theoretically more accurate is not relevant. What is 
germane is that manufacturers allocate costs, manage their plants, and 
make marketing and pricing decisions in accordance with the traditional 
method of allocating fixed and unallocated costs on a pro-rata basis of 
milk solids in the final products. Accordingly, the 2021 survey results 
utilizing this methodology were not considered when determining the 
levels recommended in this decision. The revised 2021 and 2023 surveys, 
using non-transformed survey results, and the 2016 CA survey results 
were used in determining the make allowances recommended in this 
decision. Relying on a combination of these survey results provides a 
consensus set of data to determine appropriate make allowance levels 
and is superior to relying only on one survey.
Cheese

--------------------------------------------------------------------------------------------------------------------------------------------------------
                                                               2021 Non-          2023 Non-
                                                              transformed        transformed       2016 CA survey        Current         USDA proposed
--------------------------------------------------------------------------------------------------------------------------------------------------------
Low Cost.................................................  .................            $0.2201  .................  .................  .................
High Cost................................................  .................            $0.3181  .................  .................  .................
Average..................................................            $0.2365            $0.2643            $0.2454            $0.2003            $0.2504
# Plants.................................................                 10                 18                  4  .................  .................
--------------------------------------------------------------------------------------------------------------------------------------------------------

    This decision recommends a $0.2504 per pound cheese make allowance, 
derived from the average of the 2021 and 2023 non-transformed survey 
results. The 2023 survey incorporates a representative sample size, 
accounting for 55.6 percent of NASS cheddar cheese production. The 
record indicates the 2023 survey, which collected cost data primarily 
from 2022, covered a period of relatively high inflation and rising 
input costs. An example is packaging costs--lumber and corrugated 
materials--which testimony indicates have receded since peaking in 
2022. Absent any other data on the record, this decision finds it 
appropriate to utilize an average of the 2023 and 2021 non-transformed 
survey results to ensure the recommended cheese make allowance is not 
disproportionately affected by higher 2022 costs that have since 
moderated. The decision finds use of the 2021 and 2023 surveys provides 
a manufacturing allowance reflective of the national cheddar cheese 
market. In 2022, California cheddar cheese production represented 
approximately 6.9 percent of reported NASS cheddar cheese production. 
As incorporation of the 2016 CA survey would result in an over 
representation of California cheese

[[Page 57624]]

manufacturing costs, this decision does not support its consideration.

Butter


--------------------------------------------------------------------------------------------------------------------------------------------------------
                                                               2021 Non-          2023 Non-
                                                              transformed        transformed       2016 CA survey        Current         USDA proposed
--------------------------------------------------------------------------------------------------------------------------------------------------------
Low Cost.................................................  .................            $0.2616            $0.1838  .................  .................
High Cost................................................  .................            $0.4210            $0.2149  .................  .................
Average..................................................            $0.1338            $0.3176            $0.1938            $0.1715            $0.2257
# Plants.................................................                 12                 13                  7  .................  .................
--------------------------------------------------------------------------------------------------------------------------------------------------------

    This decision recommends a $0.2257 per pound butter make allowance, 
derived from the average of the 2021 and 2023 non-transformed survey 
results. While the 2021 and 2023 surveys had roughly the same number of 
reporting plants and represented roughly the same volume of NASS U.S. 
butter production (approximately 80-82 percent), the plant samples 
differed significantly. The study author claimed sampling was the main 
driver for the notably different survey results. The 2023 survey 
captured data from both smaller and larger plants while the 2021 survey 
consisted of a more homogenous sample of larger and more efficient 
plants. The record indicates the 2023 survey, which collected cost data 
primarily from 2022, covered a period of relatively high inflation and 
rising input costs. According to the Producer Price Index for All 
Commodities (PPI), published by the Bureau of Labor Statistics, prices 
have moderated since their June 2022 peak. Thus, this decision finds it 
appropriate to average the 2023 and 2021 non-transformed surveys to 
ensure the recommended butter make allowance is not disproportionately 
affected by higher 2022 input costs that have since moderated and 
account for the differences in plant sampling. The decision finds use 
of the 2021 and 2023 surveys provides a manufacturing allowance 
reflective of the national butter market, as both surveys represent 
over 80 percent of 2022 NASS butter production volumes. This decision 
does not support incorporating the 2016 CA survey in the calculation as 
it would overrepresent California butter manufacturing costs.
NFDM

--------------------------------------------------------------------------------------------------------------------------------------------------------
                                                               2021 Non-          2023 Non-
                                                              transformed        transformed       2016 CA survey        Current         USDA proposed
--------------------------------------------------------------------------------------------------------------------------------------------------------
Low Cost.................................................  .................            $0.2302            $0.1854  .................  .................
High Cost................................................  .................            $0.3247            $0.2786  .................  .................
Average..................................................            $0.2454            $0.2750            $0.2082            $0.1678            $0.2268
# Plants.................................................                 27                 15                  8  .................  .................
--------------------------------------------------------------------------------------------------------------------------------------------------------

    This decision recommends a $0.2268 per pound NFDM make allowance, 
derived from the average of the 2021 non-transformed survey and 2016 
CDFA cost of processing survey results. In 2022, California represented 
43.7 percent of U.S. NFDM production. This supports hearing testimony 
describing the importance of California manufacturing facilities in the 
total U.S. production of NFDM powder. Therefore, this decision finds it 
appropriate to place more emphasis on California NFDM plant costs 
considering the dominant share of NFDM production by California plants. 
As 2016 was the last CDFA study published, and it contains audited 
data, unlike the 2021 and 2023 surveys, it is appropriate to use as one 
of the surveys to determine the recommended average make allowance. As 
stated previously, given all the cost surveys contained in the 
evidentiary record have shortcomings, this decision finds it 
appropriate to use an average of two surveys when recommending make 
allowances. Regarding a NFDM make allowance, what remains is 
consideration of either the 2021 or 2023 survey. In the 2023 survey, 
significantly fewer plants participated and record evidence suggests at 
least one large NFDM manufacturer did not participate. The record 
reveals the 2021 survey to be a better representation of plants 
producing NFDM in the U.S. than the 2023 survey. Additionally, as NFDM 
production is heavily energy dependent, the 2023 survey captured the 
historically high energy costs, particularly natural gas, that have 
since moderated. Utilizing the 2021 survey figures moderates the 
influence of the high inflationary period experienced in 2022, 
particularly for energy and utilities.
Dry Whey

--------------------------------------------------------------------------------------------------------------------------------------------------------
                                                               2021 Non-          2023 Non-
                                                              transformed        transformed       2016 CA survey        Current         USDA proposed
--------------------------------------------------------------------------------------------------------------------------------------------------------
Low Cost.................................................  .................            $0.2848  .................  .................  .................
High Cost................................................  .................            $0.3952  .................  .................  .................
Average..................................................            $0.2457            $0.3361  .................            $0.1991            $0.2653
# Plants.................................................                  8                  9  .................  .................  .................
--------------------------------------------------------------------------------------------------------------------------------------------------------

    This decision recommends a $0.2653 per pound dry whey make 
allowance, derived from the 2021 non-transformed survey and 2023 non-
transformed low-cost survey result. Similar to NFDM, dry whey 
production is heavily energy dependent, and the same concerns regarding 
the 2023 survey results exist for dry whey. The record reflects 
incrementally higher drying costs are incurred when drying whey 
compared to NFDM due to the higher moisture content in whey. Natural 
gas prices increased substantially between 2019 and 2022. The Henry Hub 
Natural Gas Spot Price increased 153 percent between 2019 and 2022. 
However, prices declined in 2023, with the spot

[[Page 57625]]

price falling by 61 percent. Natural gas prices in 2023 were comparable 
to prices in 2019, with the spot price one percent lower than in 2019. 
Compared to 2016, natural gas prices were slightly lower in 2023, with 
spot prices about 4 percent below 2016 levels. These data suggest 
natural gas prices are similar to price levels observed during the 
Stephenson 2021 survey. Absent any other data on the record, this 
decision finds it appropriate to utilize the 2023 non-transformed low-
cost average ($0.2848) with the 2021 non-transformed survey to ensure 
the recommended dry whey make allowance is not disproportionately 
affected by higher 2022 energy and utilities costs that have since 
moderated.
    The record does not support inclusion of a $0.0015 per pound 
marketing cost for any of the four make allowances. While supported by 
a few participants in both testimony and post-hearing briefs, no data 
was provided to validate $0.0015 as an appropriate estimation of 
marketing costs.
    The make allowances recommended in this decision are more 
representative of manufacturing costs than current make allowances, 
which were last changed in 2008. Record evidence clearly supports 
updates; however, as previously mentioned, each of the surveys of 
observed costs has weaknesses. The recommended make allowance levels 
are the best approximation of manufacturing costs given publicly 
available data and evidence contained in this proceeding's record. In 
accordance with long-standing practice, this decision does not 
recommend delaying the implementation of make allowances determined to 
best reflect current conditions. Should these make allowances be 
approved by producers, they would be implemented through the 
publication of a final rule.
b. Butterfat Recovery
    Currently, the Class III formulas contain a 90-percent butterfat 
recovery assumption. This represents the percentage of butterfat in raw 
milk that can be recovered during the cheesemaking process, recognizing 
that for both theoretical and practical reasons, 100% of utilization of 
butterfat (or any other raw milk component) in the production of a 
dairy product is impossible. Proposal 10 seeks to increase the 
butterfat recovery assumption to 93 percent. Proponents claimed modern 
cheesemaking equipment and better cheese handling techniques make a 
higher butterfat recovery not only attainable, but common in practice.
    Opponents mainly consisted of manufacturers asserting that while 
some cheese plants attain butterfat recovery percentages in excess of 
90 percent, yield assumptions that increase producer revenue, such as 
butterfat recovery, should not be amended outside a comprehensive 
review of all assumptions that determine yield factors. Multiple 
opponents mentioned the overvaluation of whey cream as an example of a 
potential issue.
    This rulemaking proceeding sought to consider changes to the FMMO 
pricing formulas. Industry participants were invited to submit 
proposals concerning the current pricing provisions of the FMMOs. Those 
opposing changes to the butterfat recovery percentage had an 
opportunity to submit proposals on any of the yield factors, as they 
fall within the provisions of the pricing formulas. None, other than 
those submitted by Select, were received. This decision does not find 
it appropriate to deny consideration of any yield related proposal 
presented in this proceeding on the basis of a potential future 
evaluation of all yield factors.
    The record contains testimony from several expert witnesses 
explaining the cheesemaking process and use of more modern cheese 
equipment and technology, including improvements in coagulants and curd 
handling, allowing handlers the ability to capture a larger percentage 
of butterfat in cheese. As butterfat recovery numbers are considered 
confidential information, the record does not contain a well-developed 
picture of recovery levels in U.S. cheese plants. The record indicates 
the age of equipment and technology used in cheese plants varies 
widely. While evidence was submitted describing high butterfat 
retention rates that are achievable using new equipment, it does not 
demonstrate those rates are reflective of the general industry 
conditions. Other than a few new, very modern plants, the record does 
not support a 93 percent butterfat recovery factor as attainable by 
most cheese plants.
    The record contains considerable testimony estimating current 
butterfat recovery rates in the universe of cheese plants with varying 
ages of equipment and technology. Expert witnesses estimated butterfat 
recovery in cheddar plants ranged from 88 to 93 percent, attributing 
much of the difference to cheddar vat equipment. It is important that 
the product price formulas reflect current, not theoretical, conditions 
for the general population of plants. Experts generally offered that 
most commodity cheddar cheese plants can obtain greater than 90 percent 
recovery, but few obtain 93 percent, with a 91 percent butterfat 
recovery rate considered the industry average. Accordingly, this 
decision recommends a 91 percent butterfat recovery rate. Such an 
increase necessitates a change to the butterfat yield factor in cheese 
from 1.572 to 1.589.
c. Farm-to-Plant Shrinkage
    Currently, the FMMO formulas assume a farm-to-plant shrinkage 
factor of 0.25 percent. This represents normal milk losses that occur 
when milk is delivered from the farm to a plant. Under the FMMO system, 
most handlers purchase milk from producers based on farm weights and 
tests. The shrinkage factor recognizes that when milk is pumped from a 
farm bulk tank to a milk tanker, and then from milk tanker to the plant 
silo, milk sticks to the sides of the pipes and tanks. Milk can also be 
lost in the milk hauling process when milk haulers must make multiple 
farm stops to fill a load. As a result, plants often physically receive 
less milk than was measured at the farm. In recognition of this 
reality, the yields are slightly reduced to reflect the amount of milk 
actually available to make a product, as compared to the amount of milk 
picked up on farms.
    The proponents asserted that producers shipping full tanker loads 
is common in the Southwest where they operate. They testified to and 
provided cooperative data regarding the steps they have taken to reduce 
shrinkage. Proponents said increased average farm size results in fewer 
stops by the milk hauler to fill up a load, thus lowering overall 
shrinkage. They opined shrinkage should no longer be a reality for 
farms as losses can be managed on any size farm through adoption of 
farm scales, flow measurements, and other technologies to improve 
accuracy.
    Opponents argued only a small percentage of dairy farms are able to 
produce enough milk to fill an entire tanker load. While the number of 
large farms has grown, opponents testified removing the shrinkage 
factor could further incentivize manufacturers to prefer large over 
small farms. Consequently, they opined the farm-to-plant shrinkage 
factor should remain.
    Record evidence reveals most dairy farms are unable to fill a 
tanker load per day. According to the NASS, daily milk production per 
cow averaged 66.5 pounds in 2022. Assuming an average tanker load of 
milk is approximately 48,000 pounds, it would require a milking herd of 
722 cows to fill a tanker. In 2022, of the 24,470 U.S. dairy farms

[[Page 57626]]

with milk sales, only 3,451 farms (approximately 14 percent) had 500 or 
more milk cows, and 2,013 (approximately 8 percent) had 1,000 or more 
milk cows.
    For the approximately 90 percent of farms that are not able to ship 
full tanker loads of milk, the record indicates farm-to-plant losses 
remain a reality for most producers and cooperatives operating within 
the FMMO system. As most handlers pay producers based on farm weights 
and tests, it remains appropriate to provide recognition in the 
formulas for milk solids paid for but not physically received at the 
handler's facility. Accordingly, Proposal 10 is not recommended for 
adoption.
d. Nonfat Solids Yield
    Currently, the FMMO Class IV price formula contains a NFDM yield 
factor of 0.99, representing the pounds of NFDM that can be made from 
one pound of nonfat solids of raw milk delivered from the farm. This 
factor is less than 1.0, as it recognizes both farm-to-plant shrinkage 
and the portion of nonfat solids utilized in NFDM.
    Select offered Proposal 12 to adjust the NFDM yield factor to 
account for both the NFDM and buttermilk powder that can be 
manufactured from the same pound of nonfat solids, and proposed an NFDM 
yield factor of 1.02. Proponents claim producers are not compensated 
for nonfat solids that end up in buttermilk powder since such 
production is not accounted for in the yield factor.
    A review of previous rulemakings reveals numerous changes to the 
NFDM yield factor both during and since Order Reform. The Order Reform 
recommended decision contained a nonfat solids yield factor of 0.96 as 
a divisor (equivalent to a 1.04 multiplier) in the nonfat solids price 
equation. It represented the percent of nonfat solids in a pound of 
NFDM. In other words, if a NFDM plant had 1 pound of nonfat solids, it 
could make 1.04 pounds of NFDM due to the moisture content in the final 
product. The factor was changed in the Order Reform final decision to 
1.02 (equivalent to a 0.98 multiplier) as stakeholders commented it 
should represent both the NFDM and buttermilk powder that could be 
produced from one pound of nonfat solids.
    The nonfat solids yield factor was again considered in a 2000 
rulemaking. Initially, the factor was amended to 1.00. 65 FR 82832 
(Dec. 28, 2000). During that proceeding, stakeholders argued the yield 
factor should reflect that more than one pound of NFDM can be 
manufactured from one pound of nonfat solids, resulting in a divisor 
less than one, or a multiplier greater than one. Evidence from that 
proceeding was used to demonstrate a calculation using only the NFDM 
price, NFDM make allowance, and a multiplier of 1.00 would be 
equivalent to a more complex formula attempting to combine the NFDM and 
buttermilk net prices using corresponding yield factors.
    The final decision in the 2000 rulemaking changed all yield 
factors, including the nonfat solids yield, from divisors to 
multipliers. 67 FR 67906 (Nov. 7, 2002). Keeping in line with only 
reflecting the nonfat solids used in NFDM, the nonfat solids yield 
multiplier changed from 1.0 to 0.99, with the incorporation of a farm-
to-plant shrinkage factor of 0.25 percent. As calculated, for 1 pound 
of nonfat solids leaving the farm, 0.9975 pounds entered the plant 
(1.00-0.0025 = 0.9975). Subtracting an estimated 0.0479 pounds of 
nonfat solids ending up in buttermilk powder left 0.9496 pounds of 
nonfat solids in NFDM (0.9975-0.0479 = 0.9496). It was assumed NFDM is 
96.2 percent nonfat solids, resulting in a NFDM yield factor 
calculation of 0.9496/0.962 = 0.9871, which was rounded to 0.99. The 
final decision made clear the 0.99 should be considered a NFDM yield 
factor, no longer a nonfat solids yield factor as was the case when 
Order Reform was implemented.
    Proposal 12 requests buttermilk powder again be incorporated into 
the NFDM yield. Proponents testified that without accounting for 
buttermilk powder, producers are not compensated for all the nonfat 
solids they sell to a Class IV manufacturer. Record evidence does not 
support such a claim. Class IV manufacturers are required to pay the 
nonfat solids price for pooled milk purchased, regardless of whether 
those nonfat solids end up in NFDM, butter, buttermilk powder, or any 
other Class IV product. The same can be said for other classified 
products whose component prices are computed similarly, even if there 
are numerous products in the category. For example, the other solids 
price is determined through a survey of dry whey prices and a dry whey 
make allowance. Manufacturers pay the other solids price even if they 
are making other products in the category, such as whey protein 
concentrate or whey protein isolate.
    Additionally, while the rulemaking history of the NFDM and nonfat 
solids yield factors is complex, evidence does not support that 
attempting to reflect two products (buttermilk powder and NFDM) in the 
NFDM yield would provide for more orderly marketing conditions. 
Recommendations are made throughout this recommended decision 
attempting to simplify, where possible, an already complex set of 
pricing formulas. As such, this decision finds it appropriate to 
maintain the current NFDM yield factor that only reflects one product. 
Accordingly, Proposal 12 is not recommended for adoption.

Base Class I Skim Milk Price

    Currently, the base Class I skim milk price, also referred to as 
the ``Class I mover'' or ``mover,'' is the simple average of the 
monthly advanced Class III and Class IV skim milk pricing factors, plus 
an adjuster of $0.74 per cwt. This formula was implemented under the 
2018 Farm Bill, which amended the AMAA to revise the provisions related 
to determining the monthly Class I skim milk price. Public Law 115-334, 
132 Stat. 4490 Sec.  1403. Congress exempted this amendment from the 
formal rulemaking process, and USDA implemented the change through a 
final rule. The formula has been in effect for milk marketed on and 
after May 1, 2019. 84 FR 8590 (March 11, 2019). Prior to the change, 
the base Class I skim milk price was the higher of the advanced Class 
III or Class IV skim milk prices (the ``higher-of''), announced on or 
before the 23rd of the prior month. The higher-of formula had been in 
effect since January 1, 2000.
    Industry stakeholders offered six proposals to amend the Class I 
mover. Proposal 13 would return to the previous higher-of Class I 
mover. NMPF explained the change to the average-of was supported at the 
time by both NMPF and IDFA, as it was intended to be revenue neutral 
for producers and provide Class I processors the ability to utilize 
hedging for risk management.
    IDFA and MIG proposed maintaining the average-of mover but 
recommended different calculations for the adjuster. Proposal 14, 
offered by IDFA, incorporates an adjuster that resets every January and 
would be the higher of either: (1) $0.74; or (2) the 24-month average 
difference between the higher-of and the average-of the advanced Class 
III and Class IV skim milk pricing factors. The 24-month calculation 
would run from August of three years prior to July of the previous 
year. For example: the 2024 adjuster would have been calculated by 
subtracting the average of the advanced Class III and IV skim pricing 
factors from the higher of the advanced Class III or Class IV skim 
pricing factor for each month of August 2021 through July 2023, then 
averaging the differences of the 24 months. The result for the August 
2021 to July 2023

[[Page 57627]]

time period is $0.95, which is higher than $0.74, and thus would have 
been the adjuster effective January 1, 2024, for the calendar year. For 
the month of January 2024, the advanced Class III and IV skim pricing 
factors were $5.74 per cwt and $9.25 per cwt, respectively, averaging 
to $7.50 per cwt. With the addition of the adjuster, the January 2024 
base Class I skim milk price would have been $8.45 per cwt ($7.50 + 
$0.95) under Proposal 14.
    Proposal 15, offered by MIG, incorporates a monthly rolling average 
adjuster calculated as the difference between the higher-of and the 
average-of, for 24 months, with a 12-month lag. For example, the 
adjuster for January 2024 would have been $1.01 per cwt, calculated 
from the 24-month average difference of the higher of the advanced 
Class III or Class IV skim pricing factor less the average of the 
advanced Class III and IV skim pricing factors from January 2021 to 
December 2022. The January 2024 advanced Class III skim pricing factor 
was $5.74 per cwt and advanced Class IV skim pricing factor was $9.25 
per cwt, resulting in an average of $7.50 per cwt. The average-of, with 
the addition of the adjuster, would result in a January 2024 base Class 
I skim milk price of $8.51 per cwt ($7.50 + $1.01) under Proposal 15.
    Edge offered Proposals 16 and 17. The Class I mover in Proposal 16 
would be the announced Class III skim milk price, plus an adjuster 
reflecting the 36-month average of the difference between the higher-of 
the advanced \2\ Class III or Class IV skim milk prices and the 
announced \3\ Class III skim milk price from August of four years prior 
to July of the previous year. The adjuster would be calculated annually 
and be effective January of each year. For example: The adjuster for 
2024 would be $1.64 per cwt, calculated from the 36-month average 
difference of the higher of the advanced Class III or Class IV skim 
pricing factor and the announced Class III skim milk price from August 
2020 to July 2023. The announced Class III skim milk price for January 
2024 was $4.92 per cwt, and with the addition of the adjuster would 
result in a January 2024 base Class I skim milk price of $6.56 per cwt 
under Proposal 16. Proposal 17 would return to the previous higher-of 
calculation. Both Proposals 16 and 17 would eliminate advanced pricing 
for Class I and Class II milk. Edge preferred Proposal 16, stating it 
would facilitate Class I hedging.
---------------------------------------------------------------------------

    \2\ Advanced refers to prices announced on or before the 23rd of 
the prior month.
    \3\ Announced refers to prices announced on or before the 5th of 
the following month.
---------------------------------------------------------------------------

    The AFBF offered Proposal 18, which is nearly identical to Proposal 
17. Both Edge and the AFBF stressed the importance of eliminating 
advanced pricing as a means for limiting price inversions that result 
in significant volumes of milk not pooled.
    NMPF presented testimony describing how the 2019 mover change was 
not revenue neutral, which is why they seek a return to the higher-of. 
NMPF and dairy farmers described volatile markets in response to the 
COVID-19 pandemic. Even as the COVID-19 pandemic has ended, prices have 
remained volatile, and stakeholders opined they expect volatility to 
continue. NMPF witnesses asserted that because of the current formula 
and volatile markets, there is no way for the impact to dairy farmers 
to be revenue neutral in the long term.
    According to NMPF, an unanticipated consequence of the average-of 
mover is the asymmetric risk borne by dairy farmers. NMPF explained the 
static nature of the $0.74 adjuster means that dairy farmers only 
benefit from the average-of when the difference between the advanced 
Class III and Class IV skim milk prices is less than $1.48. When the 
difference is greater, producers are paid less, sometimes significantly 
less, than they would have been under the higher-of mover. During the 
50-month period from May 2019-June 2023, the average-of mover was lower 
than the higher-of in 27 months. NMPF asserted when the average-of 
exceeded the higher-of, it did so by no more than $0.74, regardless of 
the magnitude of the difference between Class III and Class IV skim 
milk prices. However, when the average-of was lower than the higher-of, 
the reduction could be significantly more than $0.74. NMPF cited 
October 2022 as an example. At that time, the average-of was lower than 
the higher-of by $2.08. According to NMPF, from May 2019 to August 
2023, producers were paid $998.3 million less than they would have if 
the higher-of mover had been in place.
    Both IDFA and MIG asserted their adjusters would result in revenue 
neutrality to producers over time because of regular updates to better 
reflect current market conditions, whereas the current static $0.74 
adjuster reflects market conditions from 2000-2018. IDFA further 
claimed the $0.74 floor contained in Proposal 14 ensures producers 
would receive Class I skim milk prices at least equating to what they 
receive under the current formula. MIG opined a rolling average 
adjuster would provide better dynamic market signals while also 
stabilizing prices through more gradual monthly changes.
    In justifying these methods to continue an average-of mover, IDFA 
and MIG witnesses stressed the importance of maintaining the ability 
for Class I processors to hedge their future prices. The use of an 
average-of mover would allow them to continue to spread risk by taking 
equal positions in the Class III and Class IV futures and options 
markets. IDFA and MIG maintained hedging is a critical tool for certain 
processors, particularly ESL, to remain competitive with alternative 
beverages, such as bottled water, juice, and milk alternatives that do 
not face the same regulatory pricing framework as fluid milk. The 
ability to lock in a future price makes their cost known and allows a 
longer price horizon. They further asserted promoting and growing the 
sale of milk is a goal of the AMAA, which can be achieved using 
hedging. Both proponents explained a processor's ability to hedge is 
not negatively impacted by the adjuster calculation (whether monthly or 
annually), so long as it is announced well in advance. IDFA was 
amenable to either adjuster calculation, so long as the average-of 
mover is maintained.
    Proponents of maintaining an average-of mover argued Congress 
amended the AMAA to facilitate risk management for Class I, and as it 
directed the Department to adopt the average-of mover, the Department 
must now continue that policy and refrain from taking action that would 
inhibit risk management. However, in the 2018 Farm Bill, Congress 
stipulated the average-of mover must be maintained for a period of not 
less than two years, at which time the formula could be modified 
through the standard FMMO amendment process. Congress did not direct 
that risk management consideration must be maintained beyond the two 
years following implementation of the 2018 Farm Bill.
    To evaluate the NMPF claim regarding asymmetric risk, AMS analyzed 
May 2019-December 2023 prices (56 months). The analysis found the 
current average-of mover to be greater than the higher-of mover in 23 
months, resulting in $334 million in additional revenue paid to 
producers in those months. The two movers were equal in 2 months, and 
in the remaining 31 months, the average-of mover was less than the 
higher-of mover, resulting in $1.4 billion less in revenue paid to 
producers in those months than would have been without the mover 
change. The net result to dairy farmers during those 56 months was 
negative $1.066 billion. Further, in months when the

[[Page 57628]]

average-of was more than the higher-of mover, the difference was never 
greater than $0.74 and, mathematically, could never be greater than 
that amount under the current average-of system. However, in months 
when the average-of was less than the higher-of mover, the difference 
was as great as $5.19. This analysis supports NMPF's assertion of the 
asymmetric risk borne by producers under the current mover calculation.
    The record reveals the $0.74 static adjuster was adopted because, 
at the time, it represented the additional value paid to producers 
through the higher-of versus what would have been the average-of mover 
from 2000-2017. Evidence shows $0.74 is no longer representative of the 
additional higher-of value to producers as Class III and IV prices have 
become significantly more divergent in recent years. A comparison of 
advanced Class III skim and Class IV skim milk prices from January 
2000-April 2019 and from May 2019-December 2023 illustrates the 
increased volatility. From January 2000-April 2019, when the Class I 
skim milk price was determined by the higher-of mover, the monthly 
difference in advanced prices ranged from $0 to $6.77. From May 2019 
through December 2023, the range was $0 to $11.86, equating to an 
increase of slightly more than 75 percent.
    Testimony described rapidly changing Class III and IV prices 
resulting not only in months when the Class I mover was significantly 
lower than it would have been under the higher-of formula, but times 
when the Class I price (announced before the month) was less than the 
Class III and/or Class IV price (announced after the month). As 
handlers have the option to pool Class III and Class IV milk, this 
price inversion led to many months when the higher-valued manufacturing 
milk was not pooled. Testimony on the record described several 
consequences: (1) manufacturing handlers opted out of pool 
participation, keeping the higher market revenue instead of sharing it 
with all pooled producers; (2) instances when a manufacturing handler 
opted out of pool participation, and the historically high market 
revenue was not shared with their own producer suppliers; and (3) 
significant disparity in payments to pooled and nonpooled producers in 
some months.
    Testimony detailed the conditions in 2020 when the demand for 
cheese relative to butter rapidly widened the spread between Class III 
and Class IV Prices. For example, the base Class I skim milk price for 
June 2020 (announced May 20, 2020) was $7.08 (based on an $6.68 
advanced Class III skim milk price and an $5.99 advanced Class IV skim 
milk price). Cheese prices rose rapidly during the month, resulting in 
a $15.06 Class III skim milk price and $6.62 Class IV skim milk price. 
According to record evidence, high volumes of Class III milk were not 
pooled in order to avoid paying the higher valued Class III price into 
the marketwide pool.
    Record data reveals a significant increase in the estimated volume 
of milk not pooled in 2020 and 2021, which NMPF attributed to price 
volatility. Data shows milk volumes not pooled in 2020 and 2021 were 
approximately 60 percent greater than in 2019. Testimony and evidence 
pointed to pronounced price volatility being considered the norm, not 
the exception, going forward.
    Record evidence also shows how the lower average-of mover value 
resulted in muted blend prices in some regions of the county, making it 
difficult to attract milk supplies for fluid use. This was particularly 
a concern in the southeastern FMMOs which experienced a 
disproportionate reduction in blend prices relative to other FMMOs 
because of their high Class I utilization. Testimony described how 
blend prices between the Southeast FMMO and nearby orders narrowed, 
making it difficult to attract supplemental milk to meet the fluid 
demand in the milk deficit region.
    During Order Reform, the Department considered numerous options for 
determining Class I prices as it evaluated an appropriate Class I 
pricing system. In the Order Reform recommended decision, several 
variations of an average mover were considered, including a moving 
average and a declining average weighted most heavily by the current 
month's price, along with a higher-of option based on the second 
preceding month's prices. When considering its recommendation, the 
Department evaluated each option's ability to improve price stability 
while maintaining appropriate producer price signals to ensure an 
adequate supply of milk for fluid use.
    The Department initially recommended a 6-month declining average of 
the higher-of the Class III and Class IV skim milk prices. The goal was 
to ``decrease monthly Class I price volatility while minimally 
affecting the long-run price.'' 63 FR 4802, 4886 (Jan. 30, 1998). 
Analysis of that option compared to the higher-of option showed only a 
two-cent difference based on data from 1992-1997, thus supporting the 
notion an average-of price would not impact prices in the long run. 
Public comments in response to the recommended decision cautioned the 
Class I price should be closely and directly linked to manufacturing 
prices. Commenters opposed a six-month declining average because it 
would delay the linkage with the Class I price, resulting in counter-
cyclical pricing--something noted in the final decision, which stated 
that, for example, if Class I prices are undervalued, ``it reduces 
producers' pay prices at a time when the producers should be receiving 
a positive price signal.'' 64 FR 16026, 16102 (Apr. 2, 1999). Analysis 
conducted for the Order Reform final decision evaluated prices post-
1998 and found using a 6-month average mover during times of increased 
price volatility would have led to price inversions. The decision 
explained how price inversions could lead to depooling under which 
disorderly marketing conditions may arise. As a result, the final 
decision also articulated, on the same page as the most recently noted 
quotation, ``because handlers compete for the same milk for different 
uses, Class I prices should exceed Class III and Class IV prices to 
assure an adequate supply of milk for fluid use.'' Accordingly, the 
final decision recommended the higher-of mover which remained in place 
until May 2019.
    Record evidence clearly shows that the price inversions and 
depooling predicted in the Order Reform final decision occurred after 
the average-of mover was implemented in 2019. The principle of 
maintaining a proper link between Class I and manufacturing prices to 
avoid price inversions and depooling remains an important consideration 
in evaluating change to the Class I mover in this rulemaking.
    Proponents offering modifications to the average-of mover 
acknowledge price inversions and depooling have occurred with greater 
frequency and duration. However, they maintain hedging is a critical 
risk management tool that should be preserved and cannot be achieved 
using the higher-of mover. Record evidence highlights that although 
both HTST and ESL are fluid milk products, there are notable 
differences between HTST and ESL processing and sales. ESL products 
require unique processing techniques and packaging that significantly 
increase product shelf-life. The record indicates ESL products have a 
shelf-life of at least 65 days; some ESL processors stated their 
products have a shelf-life of 120 days or more.
    ESL processors described marketing differences between the two 
types of products. ESL products: (1) have a longer shelf-life which 
facilitates a wider distribution; (2) are typically

[[Page 57629]]

shipped to centralized retail warehouses (distribution centers) and 
from there are distributed to individual stores by the store owners; 
and (3) are sold to retail customers who prefer long-term contracts and 
a long lead time for any price changes, often 60-90 days or more. This 
is significantly different than HTST products that: (1) have a 
significantly shorter self-life (common range is 14-21 days) 
necessitating more local distribution; (2) are typically distributed 
through direct-store-delivery (DSD); and (3) whose retail customers are 
accepting of FMMO Class I prices that vary monthly.
    ESL processors explained the average-of mover has enabled them to 
meet customer demand for long-term price-fixed contracts by using the 
futures and options market to hedge the risk associated with changes in 
monthly FMMO Class I prices. They credit the ability to manage risk as 
a factor in the growth of ESL products. Before adoption of the average-
of mover, processors of ESL products took on a significant amount of 
price risk to meet the long-term, fixed price contracts required by 
customers because they had no way of knowing when they negotiated 
contracts whether the advanced Class III or Class IV price would become 
the base Class I skim milk price. The record contains no similar 
evidence that HTST processors face the same constraints. In fact, 
record evidence shows advanced Class I pricing with monthly sales 
negotiations was, and remains, standard practice for these products.
    Given all the record evidence, this decision must determine the 
best method for determining Class I skim milk prices that ensure 
adequate fluid milk supplies and orderly marketing conditions. The 
earlier discussion of record evidence clearly highlights the disorderly 
marketing conditions that occurred as a result of the average-of mover. 
However, when considering how to provide for more orderly marketing 
conditions, this decision cannot ignore how the Class I market has 
evolved since 2000.
    Prior to FMMO Reform, fluid milk products were almost exclusively 
HTST, which have a shorter shelf-life and move from farm to retail in a 
relatively short time. Advanced pricing ensures equity among fluid milk 
handlers, allowing them to know their regulated minimum raw milk cost 
at the time they negotiate prices with their buyers and ensure equal 
raw milk cost between similarly situated handlers.
    The record reflects significant development and growth of ESL 
products since Order Reform. The record also highlights marketing ESL 
products is significantly different than HTST products. Evidence shows 
the different distribution pattern (warehouse v. DSD) and longer shelf-
life (65-120 days) facilitates wider geographic, rather than local, 
marketing and distribution. In addition, it is common for competing ESL 
products being sold in the same month to have been processed during a 
range of previous months. As a result, processors of ESL products do 
not necessarily have the same regulated minimum raw milk prices for 
products sold during the same month. This undermines handler equity 
between processors of ESL products as they do not have equal raw milk 
costs for products competing for sales in the same month. This decision 
supports a hybrid solution that will ensure adequate supplies of milk 
for fluid use, while also accounting for the inequities between 
processors of ESL products.
    FMMOs are tasked with ensuring minimum prices reflect supply and 
demand conditions, which is accomplished, in part, through weekly 
surveys of wholesale bulk commodity products. Weekly survey prices 
provide signals to market participants on the changing value 
relationships between dairy product markets. FMMOs do not control those 
market-based relationships. As monthly average prices are determinants 
of Class III and IV prices, it is expected there will be periods when 
Class III values will be higher, and other times when Class IV values 
will be higher. Under a monthly pricing system that allows for 
voluntary pooling of manufactured milk and advanced Class I pricing, 
there will be occasions when these value differences are large enough 
to have price inversions and/or incentivize handlers to not pool milk 
during a particular month. The record clearly shows such situations 
occurred prior to May 2019. However, record data highlights the shift 
in duration and magnitude of these occurrences since the average-of 
mover was adopted. The record reveals large and prolonged value 
differences can cause significant differences in pay prices between 
producers and reduced willingness to supply the Class I market. The 
record of this proceeding supports returning to the higher-of Class I 
mover for HTST products. The higher-of would provide a better link 
between Class I and manufacturing prices and better ensure Class I 
prices remain the highest to bring forth an adequate supply of fluid 
milk. Therefore, this decision recommends adoption of Proposal 13 for 
HTST fluid milk products.
    Returning to the higher-of mover for ESL products would deepen the 
pricing inequity that naturally exists for those products, as described 
earlier. For example, under the higher-of mover, a handler processing 
and selling an ESL product in January 2023 would have faced a base 
Class I skim milk price of $11.62 per cwt. However, handlers who 
processed ESL products two or four months before, which are also being 
sold in January 2023, would have faced a base Class I skim milk price 
of $12.61 and $13.82 per cwt, respectively. This results in a 
difference of base raw milk costs of up to $2.20 per cwt for ESL 
products competing for sales during January 2023.
    Given the marketing characteristics of ESL products, short of 
providing for fixed minimum prices, price differences between these 
competing products will always exist. However, this decision strives to 
recognize the evolution of the ESL market since Order Reform with a 
pricing structure for ESL products that would narrow differences, make 
them more predictable, and provide for more orderly marketing 
conditions. This decision finds pricing differences would be reduced 
through adoption of a Class I ESL adjustment that would equate to a 
Class I price for all ESL products equal to the average-of mover 
contained in Proposal 15. The Class I ESL adjustment will provide more 
long-run pricing equity for ESL product by better ensuring handlers 
whose ESL products compete for sales during the same month, but whose 
raw milk may have been purchased and processed during different time 
periods, have more similar costs.
    In practice, the higher-of Class I mover would be announced on or 
before the 23rd of the prior month. A Class I ESL adjustment would be 
announced at the same time, and equal the difference between the 
higher-of mover and the average-of the advanced Class III and Class IV 
skim pricing factors plus a rolling monthly adjuster. The rolling 
monthly adjuster would be calculated as the average of the differences 
between the higher-of and the average-of calculations for the prior 13 
to 36 months. All milk used in ESL products with a shelf-life no less 
than 60 days, regardless of the type of Class I plant \4\ in which they 
are made, would be subject to the adjustment. The adjustment would be 
added to or subtracted from the handler's pool obligation applicable to 
the amount of milk used in ESL products. The rolling adjuster would be 
computed in advance and announced on or before the 23rd of the month 12 
months in advance of its application (i.e. January 2023 rolling

[[Page 57630]]

adjuster would have been announced on or before December 23, 2021).
---------------------------------------------------------------------------

    \4\ 1xxx.7(a) or 1xxx.7(b).
---------------------------------------------------------------------------

    For example, the advanced Class III and IV skim pricing factors for 
January 2023 were $9.54 per cwt and $11.62 per cwt, respectively.
     The average-of the two factors (applicable to ESL milk) 
would have been $10.58 plus the rolling adjuster reflecting the average 
of the differences between the higher-of and the average-of from 
January 2020 to December 2021 ($1.58 per cwt), for a total of $12.16 
per cwt.
     The higher-of mover (applicable to HTST milk) would have 
been $11.62 per cwt.
     The January 2023 Class I ESL adjustment would have been 
$0.54 ($12.16-$11.62), calculated by subtracting the higher-of 
announced price from the average plus rolling average calculation.
    The effect of the adjustment would be a base Class I skim price for 
HTST milk of $11.62, and an effective base Class I skim milk price for 
ESL milk of $12.16. While this example computes a positive adjustment 
resulting in a higher effective price for ESL milk, it is to be 
expected in some months the adjustment will be negative, resulting in a 
lower effective price. The objective of the ESL adjustment is not to 
create a higher or lower effective Class I price, but rather to reduce 
the range of base Class I skim prices paid for milk used in ESL 
products being sold during a month. Evidence on the record indicates 
the Class I ESL adjustment will tend to moderate the price highs and 
lows, thus providing improved price equity between handlers of ESL 
products. The record indicates ESL products represent approximately 8 
to 10 percent of the Class I market and would be subject to the Class I 
ESL adjustment.
    This decision finds the Class I ESL adjustment, combined with the 
higher-of mover price for HTST products will provide for more orderly 
marketing and better ensure price equity for handlers of similar Class 
I products.
    This decision also recommends maintaining advanced Class I pricing. 
Proponents of Proposals 16, 17, and 18 argued advanced pricing should 
be eliminated to prevent short term inversions between the monthly 
Class I price and Class III and/or IV prices, and subsequent incentives 
for depooling. Opponents, both independent and cooperative Class I 
processors along with a majority of producers, supported the continued 
use of advanced pricing. As discussed previously, advanced Class I 
pricing provides equity to regulated Class I processors by informing 
them of their regulated minimum raw milk cost in advance of the sale of 
their product. This ensures all dairy processors have an opportunity to 
align their raw milk costs with the sale prices of their products, 
which are generally negotiated before the start of the month. In the 
case of Class I products and the nonfat solids portion of Class II 
products, this alignment is facilitated by advanced pricing. 
Accordingly, Proposals 16, 17, and 18 are denied.
    Select argued USDA should omit a recommended decision on the Class 
I mover following a finding by the Secretary ``on the basis of the 
record that due and timely execution of his functions imperatively and 
unavoidably requires such omission.'' (Select Post Hearing Brief, 2024, 
pp. 46-47) (citing 7 CFR 900.12(d)). The Secretary finds no sufficient 
information on the record to determine that skipping the recommended 
decision is unavoidable and is therefore issuing a recommended decision 
on the Class I mover.

Class I and Class II Differentials

a. Class I Differentials
    The current Class I price structure was developed during the Order 
Reform process when Congress directed the Department to review the 
Class I price structure as part of larger FMMO consolidation efforts. 
Federal Agriculture Improvement and Reform Act of 1996, Public Law 104-
127, 110 Stat. 888. The Department considered several objectives when 
determining an appropriate Class I price surface, including: being 
national in scope, while also accounting for local and regional 
conditions; recognizing the location value of milk; recognizing all 
uses of milk; and meeting AMAA requirements. The Department met AMAA 
requirements governing classified pricing by ensuring the price surface 
would ``reflect enough of the milk value to maintain sufficient revenue 
for producers to maintain an adequate supply of milk and provide equity 
to handlers with regards to raw product costs.'' 64 FR 16026, 16109 
(Apr. 2, 1999) \5\ The Class I price surface adopted on January 1, 
2000, met those objectives.
---------------------------------------------------------------------------

    \5\ Order Reform Final Decision.
---------------------------------------------------------------------------

    Class I milk pricing consists of two pieces: the base Class I mover 
applied uniformly to all Class I milk (as discussed previously) and a 
location specific differential which represents the location value of 
milk at a specific plant location. The differentials provide producers 
a financial incentive to supply the Class I market, which tends to be 
closer to the population centers, rather than delivering milk to a 
manufacturing plant typically closer to the farm. The location specific 
differential consists of two parts: a base value (also referred to as 
the ``base differential'') applied uniformly to all Class I milk, and a 
location value.
    The base differential is currently $1.60 per cwt, representing 
three costs whose values were determined to reflect market conditions 
during the late 1990s. First, the cost of maintaining Grade A farm 
status ($0.40) which includes costs associated with the labor, 
resources and utility expenses for maintaining required equipment and 
facilities, and adherence to certain management practices. Second, 
marketing costs (also referred to as balancing costs) ($0.60) which 
include, among other things, the costs associated with seasonal and 
daily reserve balancing of milk supplies and transportation to more 
distant processing plants. Lastly, a competitive factor ($0.60) is 
included to represent a portion of the competitive costs incurred by 
fluid plants to compete with manufacturing plants for a milk supply.
    The location values were developed during the Order Reform process 
through an analysis conducted with the USDSS, maintained at the time by 
Cornell University. The USDSS was used to evaluate the geographic or 
``spatial'' value of milk and milk components across the U.S. under the 
assumption of efficient markets. The model used 240 supply locations, 
334 consumption locations, 622 dairy processing plant locations, 5 
product groups, 2 milk components, and transportation and distribution 
costs among all locations to determine mathematically consistent 
location values for milk and components. Model results provided county 
specific information regarding the relationship of prices between 
geographic locations based on May and October 1995 data.
    Since adoption on January 1, 2000, only differentials in the 
Appalachian, Florida, and Southeast FMMOs have been amended. The 
amendments, effective May 1, 2008, were the result of a region-specific 
rulemaking evaluating transportation costs in servicing those milk 
deficit orders. 73 FR 14153 (Mar. 17, 2008).
    The record reflects consensus among hearing participants that the 
dairy marketplace has evolved significantly over the past 25 years. 
However, there remains strong disagreement on how the market changes 
should be interpreted and recognized in the Class I differentials. The 
producer community argued Class I differentials no longer reflect the 
cost of servicing fluid milk

[[Page 57631]]

demand and should be updated to reflect the current structure and 
significantly higher transportation costs through adoption of Proposal 
19. The processing and manufacturing community argued certain cost 
factors contained in the differentials are no longer relevant and 
should be eliminated through adoption of Proposal 20. They stressed 
that if the costs of servicing the Class I market exceed those of the 
proposed reduced Class I differential values, they can be negotiated 
between buyers and sellers through over-order premiums.
    Proposal 19 would increase the Class I differentials based in part 
on updated USDSS results reflecting the current dairy market structure 
and transportation costs. NMPF witnesses explained USDSS result 
averages were the foundation of their deliberations, and deviations 
were made to account for a variety of factors they believed were not 
accounted for, including producer price impacts, competitive 
relationships, blend price alignment, private supply arrangements, and 
unique local market conditions such as traffic or geography. Although 
NMPF began with results from a mathematical model, the process 
thereafter was primarily subjective. They started by selecting a series 
of cities, which they called ``anchor cities,'' to represent areas 
which bordered multiple FMMO regions. Then, regional committees 
adjusted model-derived location values to better align location values 
and reflect local marketing and transportation conditions within their 
region, respecting the anchor cities as starting points. NMPF combined 
the independently derived regional results and made further refinements 
to ensure smooth pricing transitions between the regions. Ultimately, 
NMPF proposed that the lowest differential increase from $1.60 per cwt 
to $2.20 per cwt. NMPF maintains the cost factors provided for in the 
base differential value remain relevant and presented testimony from 
member cooperatives that such costs have increased.
    Opposition to Proposal 19 centered on several areas. First, 
opponents argued there is more than an adequate supply of milk 
nationally to meet Class I needs, therefore adoption of Proposal 19, or 
any increase to Class I differentials, is not warranted. Second, 
opponents contended raising Class I prices would be disorderly because 
it would further decrease already declining Class I consumption and, 
they argued, the FMMO objective of ensuring adequate milk supplies 
implies FMMOs should adopt provisions that encourage Class I 
consumption. One such opponent presented an econometric study which 
found fluid milk demand is elastic, concluding that increasing Class I 
prices would decrease consumption and violate FMMO objectives. Third, 
opponents took exception to NMPF's proposal development process and 
what they considered a lack of unifying principles used to adjust the 
USDSS results, believing NMPF had failed to provide cost justification 
for maintaining a base differential. Independent fluid milk processors 
further argued the entire development process led to results with a 
favorable bias towards NMPF member-owned plants. Lastly, organic milk 
processors and some organic cooperatives argued organic milk should not 
be treated similarly to conventional milk in the FMMO program because 
it has different and unrelated market structures. In its post-hearing 
brief, MIG reiterated its position on organic milk and further argued 
that because NMPF did not demonstrate current Class I differentials 
create disorderly marketing conditions the evidentiary threshold for 
increasing differentials had not been met.
    MIG offered Proposal 20, which would lower the base differential 
value to $0.00, contending FMMO Class I prices are too high and have 
resulted in an oversupply of milk that they believe is disorderly. 
According to MIG, there is more than an adequate supply of milk to meet 
fluid demand. Given 99 percent of U.S. milk production meets Grade A 
standards, MIG argued compensation for Grade A maintenance is already 
provided for in manufacturing milk prices and therefore the $0.40 Grade 
A factor is no longer justified.
    Additionally, MIG members' testimony detailed efforts they have 
adopted to balance their own milk supply, including infrastructure 
investments, creating more uniform receiving and processing schedules, 
and paying over-order premiums. Organic and ESL MIG members testified 
their fluid milk products function as wholly distinct markets with 
their own balancing and supply challenges. Therefore, MIG concluded the 
balancing cost and Class I competitive factors should no longer be 
recognized in the Class I price. Lastly, MIG and its members argued 
that if additional money is needed to compensate dairy farmers and 
cooperatives for balancing costs or to incentivize milk to serve Class 
I plants, those costs should be negotiated between the buyer and seller 
and paid through over-order premiums, not as part of the regulated 
price.
    A vast majority of producers and their cooperatives opposed 
Proposal 20. They maintained, both in witness testimony and post-
hearing briefs, there is relevancy of costs associated with the base 
differential. NMPF stressed the costs, while difficult to precisely 
quantify, are still relevant and have increased since adopted in 2000. 
NMPF described the disorder that would arise if the base differential 
was reduced to $0.00 and a greater portion of market-wide cost 
reimbursement was forced to be negotiated in the market. While some 
NMPF members testified to receiving over-order premiums, they stressed 
establishing and maintaining premiums is difficult because there 
remains a market imbalance of power between milk sellers and buyers.
    Opponents of any change to Class I prices, either through a change 
to Class I differentials or other FMMO amendments, raised several 
overarching objections. First, they alleged disorderly marketing must 
first be proven to justify any changes to FMMO provisions. They cited a 
lack of instances of fluid demand not being met as an indication 
disorder is not present in the fluid milk market.
    The declared policy of the AMAA is to ``. . . establish and 
maintain such orderly marketing conditions for agricultural commodities 
in interstate commerce. . . .'' FMMOs accomplish this mandate through 
the classified pricing of milk products and marketwide pooling of those 
classified use values. Through these mechanisms, orderly marketing 
conditions are provided so handlers are assured of uniform minimum raw 
milk costs and producers receive minimum uniform payments for their raw 
milk, regardless of its use. While previous FMMO amendatory proceedings 
may have found market disorder to warrant changes to provisions, the 
AMAA does not contain an express or implied declaration that a finding 
of disorderly marketing conditions is required before an order can be 
amended. Second, opponents argued Class I prices cannot be amended 
until the FMMO system is modified to recognize the organic milk sector. 
However, potential amendments that would adopt disparate treatment of 
organic milk were not within the scope of this proceeding, as defined 
in the hearing notice.
    Third, Class I processors and manufacturers argued the Department 
should consider the impact to Class I sales when evaluating changes as 
they allege the AMAA objective of ensuring adequate milk supplies 
implies the FMMO should encourage fluid consumption. They further argue 
that demand for fluid milk is elastic and, therefore, raising Class I 
differentials would be disorderly as it would result in a decline in 
Class I sales. The AMAA

[[Page 57632]]

authorizes FMMOs to provide for orderly marketing conditions and ensure 
an adequate supply of milk for fluid use. It does not explicitly state 
nor imply FMMO provisions should encourage Class I sales. FMMOs are 
charged with ensuring adequate supplies of fluid milk, regardless of 
the quantity demanded.
    As to whether or not fluid milk has an inelastic or elastic demand, 
numerous studies were entered into the record, some drawing opposite 
conclusions. An econometric study entered on behalf of MIG found the 
retail level demand for fluid milk to be elastic. The study looked at 
cross sectional data over relatively short periods of time. In 
contrast, an NMPF witness reviewed numerous studies published within 
the last 20 years that evaluated time series data, concluding the 
studies support the assertion that fluid milk demand remains inelastic 
with respect to prices for those products. An analysis of the MIG study 
indicates that other than product prices and quantities, no other 
variables were considered that could explain changes in demand. Such 
variables which are generally recognized to be determinants of demand 
outside of price include, but are not limited to, household income, 
demographics, and measures of preferences. While the MIG study found 
retail price affects retail milk demand, it did not demonstrate price 
was the only factor that impacts demand. By design, the study estimated 
that only prices for milk and competing products could account for 
changes in quantities sold. Certainly, more study may be warranted 
given the evolution of the dairy industry in the last 25 years. 
However, a conclusion of the long-term demand elasticity of fluid milk 
cannot be drawn from one study of cross-sectional data, given the 
overwhelming body of studies contained in this hearing record which 
found otherwise.
    Finally, opponents opined that milk is typically more valuable when 
used in Class III products, rather than Class I, and therefore the 
record lacks justification to increase Class I differentials. Testimony 
was given comparing USDSS model results (utilizing 2016 data) showing, 
outside of the southeastern region, higher marginal location values for 
milk used at Class III manufacturing locations than for milk used in 
Class I processing in the same locations. No evidence was presented as 
to how the Class III location values could or should be implemented to 
achieve the purposes of the AMAA. Unlike estimated Class I location 
values which have been historically relied upon to determine Class I 
differentials, this was the first time the USDSS model results were 
utilized to calculate location values for Class III milk, and the first 
time testimony was offered to suggest how the correlation between Class 
III and Class I location values should impact pricing decisions. The 
record lacks evidence to validate the interpretation of Class III 
location values, as further indicated by the differing views of the 
study authors as to whether this would be an appropriate interpretation 
of the various sets of USDSS results.
    The record of this proceeding indicates the cost of servicing the 
Class I market is no longer sufficiently reflected by existing Class I 
differentials. This was evident in the USDSS results and validated 
through firsthand testimony of cooperative milk suppliers who described 
increased servicing costs. Current Class I differentials were 
established based on 1995 data. In the nearly thirty years since, the 
record reflects the market has substantially changed in size and 
structure. While milk production has increased approximately 45 percent 
from 1995 until 2022, during the same time period the number of dairy 
farms has decreased by approximately 74 percent, and the average herd 
size has increased from 68 to 261 cows.
    Consolidation has also occurred on the processing and manufacturing 
side. The record describes plant closures, particularly on the fluid 
processing side, and plant investment, especially in large 
manufacturing plants. Considerable testimony and evidence were given 
describing increased distances milk must travel to find a market 
outlet. Because of the greater distances between supply locations and 
fluid processing plants, cooperative witnesses testified to increasing 
costs to ensure fluid demand is met. The witnesses also described in 
detail how the increasing costs are disproportionately borne by 
cooperative members who often see deductions on their milk checks to 
cover increased organizational and individual transportation costs, 
which some witnesses attested more than doubled in the past 20 years.
    There was little to no rebuttal to the claim the market has 
consolidated on both the producer and processor side, resulting in 
increased transportation costs. The USDSS study authors themselves 
attributed the observed differences in the 2022 results, when compared 
to the current differentials, to four primary factors: change in milk 
production locations, change in compositions of dairy product demand, 
change in demand locations, and increased transportation costs per 
mile. What is at issue is the justification for increasing Class I 
differentials. While only one witness described a situation in which 
they were unable to procure enough milk to meet the demand of their 
fluid milk processor, the record is full of testimony on the difficulty 
cooperatives have faced to ensure fluid milk demand is met. Cooperative 
witnesses discussed needing to reach out to more distant supply 
locations to find available milk supplies willing to serve the Class I 
market instead of remaining at a manufacturing plant, and the inability 
to recoup a large portion of the additional transportation costs 
through over-order premiums.
    FMMOs were established in the 1930s when the market contained many 
sellers and few buyers of milk. The highly perishable nature of raw 
milk resulted in producers engaging in pricing behavior that lowered 
farm prices as producers undercut one another in order to find a market 
outlet, a condition generally described as destructive competition. 
This unavoidable competitive behavior was among the reasons producers 
petitioned Congress to authorize a marketing order program to provide 
orderly marketing through known terms of trade and the pooling of 
market returns, which in turn provided a more equitable balance of 
power between buyers and sellers.
    While the record of this proceeding reveals continued consolidation 
on both the producer and processing sides of the market, it also 
contains evidence the fundamental elements that were the genesis of the 
FMMO program still exist. Raw milk remains a highly perishable product, 
produced every day, that cannot be stored for any significant length of 
time and incurs high costs when transported over long distances. No 
substantive evidence was presented to indicate there is no longer an 
imbalance of market power between buyers and sellers. Processors spoke 
of the abundance of milk produced as a reason Class I prices should not 
be increased. However, that reality also highlights how the dairy 
marketplace continues to place processors in a price setting role. As a 
price taker, the record reflects considerable testimony attesting to 
the difficulty dairy farmers have had and continue to have in obtaining 
and maintaining over-order premiums at levels sufficient to cover 
actual and/or opportunity costs.
    It is natural for buyers of milk to want to pay less and for 
sellers of milk to want to be paid more. The role of FMMOs is to 
determine minimum prices that provide for orderly marketing conditions 
that balance these natural competitive desires. The AMAA

[[Page 57633]]

expressly authorizes marketwide pooling of classified prices as a tool 
for accomplishing orderly marketing. In determining appropriate 
classified prices, the Department cannot place an undue reliance on 
over-order premiums which diminish the role of marketwide revenue 
pooling and can lead to disorderly marketing conditions. Accordingly, 
this decision recommends changes to the Class I differentials to better 
reflect the various aspects of the current marketplace.
    The first step in evaluating appropriate Class I differential 
levels is the base differential. While the USDSS model is appropriate 
to show the value differences of milk between two fluid plant 
locations, as will be discussed later, it is not designed to inform the 
level of the minimum value needed to service Class I plants. Proposal 
20 seeks to reduce the base differential to $0.00 on the premise the 
costs represented either are no longer relevant (Grade A maintenance) 
or should be left up to negotiation with the fluid milk processor and 
their supplier (balancing and Class I incentive cost). While the record 
does not precisely describe how much the cost components of the base 
differential have increased, it lacks evidence to demonstrate those 
costs have decreased. In fact, discussion of various costs throughout 
the proceeding indicates that costs have instead increased. Given the 
lack of clear record evidence specific to costs accounted for in the 
base differential, this decision recommends continuation of the $1.60 
base differential.
    Despite arguments Grade A maintenance costs should no longer be 
covered because 99 percent of U.S. milk production is Grade A, this 
decision continues to find it appropriate to recognize the additional 
costs for maintaining Grade A status in a regulatory pricing system 
requiring Grade A standards be met for participation. When the Grade A 
factor was incorporated into the base differential, it was specifically 
for Grade A maintenance costs, not costs associated with conversion to 
Grade A status. Proponents argue that because almost all milk meets 
Grade A standards, it is no longer necessary to provide a recognition 
of that cost in the base differential. Whether 99 percent of milk 
production today is Grade A, or 96 percent as it was at the time of 
Order Reform, is irrelevant. The record demonstrates dairy producers 
incur costs to maintain Grade A standards which are a requirement for 
participating in the FMMO system. As only Class I milk is required to 
participate and raw milk used in fluid milk products is required to 
meet Grade A standards, it is appropriate for the Class I price to 
continue to recognize those costs.
    The record does not demonstrate the remaining two base differential 
factors, balancing costs and additional monies needed to compete for a 
milk supply, are no longer relevant. All parties testified to their 
continued existence. Proposal 20 would require those costs to be 
negotiated in the market.
    Proponents of Proposal 20 argued they have made capital investments 
to balance their supply and/or pay over-order premiums to their 
suppliers to meet their milk needs, and/or provide balancing services. 
While their testimony acknowledges these costs exist, proponents argued 
the FMMO is making them pay twice for such services--once through the 
regulated price and again through their negotiated over-order premium. 
They further argued that if cost reimbursement is needed for such 
services, they should be able to pay that value to their suppliers 
directly through over-order premiums, not into the marketwide pool.
    Cooperative witnesses testified at length on the costs associated 
with ensuring daily, weekly, monthly, and seasonal fluctuating needs of 
the fluid market are met. While their balancing costs were considered 
confidential information, cooperative witnesses testified to the 
overall increase in costs associated with providing those services. In 
particular, cooperative witnesses spoke to the higher costs incurred to 
operate regional balancing plants. These plants often do not run at 
full capacity year-round in order to ensure capacity to balance excess 
supply during flush periods or provide additional milk to fluid 
processing plants during months of increased demand. The record 
reflects these marketing costs are incurred for the benefit of 
balancing the entire market's milk supplies, thus providing for the 
orderly marketing of milk for fluid use. It has always been the case 
that an individual processor may find it necessary and/or advantageous 
to pay premiums above the minimum value to suit their individual and 
fluctuating needs. FMMO pricing balances the value needed to be 
reflected in the minimum regulated prices, without an over-reliance on 
over-order premiums that can undermine marketwide revenue pooling and 
lead to unequal raw product costs between similarly situated handlers 
and non-uniform payments to producers.
    An additional function of the base differential, as described in 
the Order Reform Recommended Decision, is to generate the additional 
monies necessary for the FMMO pools to balance the reliance on over-
order premiums. This was of particular concern in marketing orders with 
low Class I differentials and low Class I utilization, for which the 
decision noted ``there is a risk that handlers may not face equal raw 
product costs for various reasons. Thus, having a larger proportion of 
the actual value of Class I milk in the market order pool in these 
areas, than is now the case, should promote pricing equity among market 
participants.'' 63 FR 4802, 4909 (Jan. 30, 1998). As this decision 
seeks to update Class I differentials, maintaining the balance of what 
proportion of the value of Class I should be reflected in the 
marketwide pool remains a consideration. Negotiations for over-order 
premiums are not conducted in a vacuum, but are done with the benefit 
of both parties knowing minimum FMMO values and the costs represented 
in the minimum values the plant is responsible for paying. If Class I 
processors believe they are being double charged, they can use that 
information in their over-order premium negotiations.
    Maintaining the $1.60 base differential would ensure Class I prices 
typically remain the highest, which is of particular importance in 
locations where the base differential is the effective differential. 
Without a base differential value in these locations, there would be 
little difference between the Class I price and the manufacturing 
price, and thus no financial incentive to serve the fluid market would 
exist to ensure the FMMO policy objective is met. Accordingly, this 
decision finds a $1.60 base differential remains an appropriate minimum 
value to ensure Class I demand is met.
    While the Department appreciates the effort put forth to submit a 
comprehensive option in Proposal 19, the record of this proceeding does 
not support its adoption. Proposal 19 contains a base differential of 
$2.20, which is an increase of $0.60 from the current level. However, 
the record lacks data to quantify costs in excess of the $1.60 base 
value.
    Proponents described using the average of the USDSS May and October 
results as a starting point for consideration but did not provide 
evidence as to why, under a minimum pricing system, the average rather 
than the minimum values observed in the May results was appropriate or 
preferable. Furthermore, the record does not contain evidence to 
support how the deviations made from the USDSS averages are 
appropriate. Proponents

[[Page 57634]]

described their own marketing expertise but presented insufficient 
evidence to determine if the proposed differentials would result in 
Class I prices in excess of what is appropriate for a minimum pricing 
system. Accordingly, this decision does not recommend adoption of 
Proposal 19.
    However, this decision finds evidence to support raising the Class 
I differentials from the current levels. The record of this proceeding 
reveals the cost of servicing the Class I market has increased since 
the Class I differentials were adopted in 2000 and amended in the 
southeastern FMMOs in 2008. Evidence reflects the market structure of 
Class I plants and the milk supply have changed considerably in the 
last 25 years. That was supported in witness testimony, as well as 
USDSS model results, which clearly show the location value of milk has 
changed. The Department continues to find the USDSS model the best 
available tool for determining the location value of milk given the 
vast array of factors that contribute to how milk is produced, 
transported, processed, and distributed in the U.S.
    When the differentials were adopted during Order Reform, testimony 
reflects the Department used USDSS model results as a starting point 
and made adjustments for various reasons. The Order Reform Recommended 
Decision described several options the Department considered. Of the 
differential surface ultimately adopted, AMS wrote, ``Nine differential 
zones provide the basis for establishing the price structure. These 
zones were established based on results of the USDSS model, knowledge 
of current supply and demand conditions, and recognition of other 
marketing conditions such as fluid versus manufacturing markets, urban 
versus rural areas, and surplus versus deficit markets.'' 63 FR 4802, 
4905 (Jan. 30, 1998). The decision went on to outline additional 
reasons for adjustments including ensuring price alignment with 
neighboring zones and adequate marketwide pool draws.
    The USDSS model estimates results for an efficient milk supply and 
distribution network, provided at its lowest cost. The USDSS study 
authors acknowledged when using the model results to determine Class I 
differentials, adjustments would be appropriate as there are factors 
unaccounted for in the model, such as FMMO provisions, abnormal traffic 
patterns, and competitive relationships.
    Accordingly, this decision recommends Class I differentials be 
changed to better reflect the current cost of serving the Class I 
market. When determining appropriate levels, the Department began with 
the USDSS May results, referred to hereinafter as ``May results.'' The 
May results are the lower of the two months provided in evidence, which 
is an appropriate starting point for determining minimum prices. The 
Department then evaluated the results on a regional basis and made 
adjustments based on three principles and two additional 
considerations.
    First, adjustments were made where necessary to better align Class 
I handler equity. This means the proposed Class I differentials should 
not give one handler an uneconomic cost advantage relative to an actual 
or potential competing handler. Second, adjustments were made to 
maintain producer equity and prevent uneconomic rewards or penalties to 
producers who deliver or could deliver milk to the same plant or 
market. Third, adjustments were made to ensure the marketwide pools 
continue to provide orderly marketing conditions. The combination of 
handler and producer equity goals is further achieved through the size 
and shape of pricing zones. The USDSS values are determined at specific 
locations, or ``nodes,'' in the model. Model results can be displayed 
on a map or in a list of counties to convey the price surface, but the 
methodology for doing so, as explained by the study authors, was a 
mathematical tool which interpolated values between distances. 
Additional information about markets can be added to the model results 
through knowledge about the economic or geographic (roads, natural 
barriers, etc.) conditions in specific locations. This may lead to a 
decision to change the shape or contours of the pricing surface that is 
estimated from the model results. Lastly, adjustments were made to 
reflect unique challenges associated with servicing dense urban 
environments. The changes by regions are described below.
    The general process began with roughly $0.20 differential bands 
generated from the May results. The May and October results formed a 
soft boundary for differential adjustments. The current differentials 
formed a hard lower boundary, which were rounded to the nearest dime to 
eliminate $0.05 differences between zones, consistent with the USDSS 
model results which were in $0.10 increments.
Northeast
    The recommended differentials in the Northeast region largely 
follow the May results with minimal changes. The differential for 
Portland, Maine, was raised to $4.50 to match the results in Concord, 
New Hampshire, to ensure handler equity. Albany County, New York, and 
Rensselaer County, New York, were moved to the same differential by 
increasing the Albany differential $0.10 to meet the Rensselaer 
differential, as plants in those counties are located just across a 
bridge from one another but were assigned different prices by the 
model. Differentials in most New Jersey counties are proposed to be 
$0.10 to $0.20 above the May results, but within the May and October 
range, to reflect testimony on the cost of servicing urban areas and 
transportation concerns. The differential for Washington, DC, is also 
proposed to be $0.10 above the May result to reflect testimony on 
servicing an urban area.
Appalachian
    The variation between the model results in May and October are more 
significant in the three southeastern orders. As discussed by several 
witnesses, this region experiences unique marketing conditions with 
high Class I utilization and deficit local milk supply. Due to the 
substantial seasonality of the local milk supply, it requires 
significant but variable volumes of supplemental milk supplies from 
outside the region as well as changes in milk movements of regular 
suppliers to the market throughout the year. The Transportation Credit 
Balancing Fund (TCBF) and the recently implemented Distributing Plant 
Delivery Credit (DPDC) are programs to compensate handlers for some of 
the additional and variable transportation costs associated with 
supplying the Class I markets in these orders during different periods 
of the year. The reimbursement rates for these programs include 
adjustments for any gain in Class I differentials from supply point to 
receiving plant. Therefore, any changes in difference in Class I 
differentials would be reflected in the calculated rate for eligible 
payments in both the TCBF and DPDC in all three southeastern orders.
    The recommended differentials in the Appalachian region are largely 
formed in $0.20 and $0.30 bands based on the May results starting with 
$3.70 in Southern Indiana and, moving southeast, increasing to $6.00 
along the Carolina coast. In most areas, the proposed differentials are 
within $0.10 (+/-) of the May results. There are a few exceptions where 
the proposed differentials are $0.20 less than the May results to 
better align handler equity. For example, in Spartanburg County, South 
Carolina, the proposed differential is $5.60, $0.20 less than the

[[Page 57635]]

May results. This maintains the current competitive relationship 
between this area and the Atlanta, Georgia area, and with the competing 
handlers in North Carolina.
Southeast
    The proposed differentials in the Southeast FMMO start at $3.20 in 
southwest Missouri and increase moving southeast to $6.00 in southeast 
Georgia. The proposed differentials follow the May results closely, 
within $0.10 (+/-), with a few modifications. The East Baton Rouge 
Parish differential was reduced by $0.20 from the May results to be 
consistent with the May result of $5.20 for competing areas such as 
Lafayette Parish. Tangipahoa Parish was placed in the $5.40 zone, or 
$0.30 below the May result. These decreases are meant to ensure handler 
equity while still acknowledging the thinner and steeper surface 
reflected in the May results in the southeastern U.S.
    Rutherford County, Tennessee, is also proposed to be modified to be 
consistent with neighboring Davidson County, Tennessee, at $4.60 ($0.20 
below the May result) to provide for handler equity. In Missouri, 
Webster County was placed in the $3.20 zone to match the Greene, 
Hickory, and Polk County differentials. This addresses handler equity 
concerns and results in a $0.10 proposed decrease for Webster County 
from the May result.
Florida
    The proposed differentials for Florida largely follow the May 
results with modification to address handler equity concerns. The 
differentials start at $6.00 in the Florida panhandle region and 
increase going south with mostly $0.40 bands ending at $7.40 in south 
Florida. Processing plants in central Florida were placed in the same 
$6.80 band to match the May result in Volusia County due to handler 
equity concerns. This necessitated decreases from the May results of 
$0.10 in Orange County, $0.10 in Hillsborough County, and $0.20 in Polk 
County. For similar handler equity concerns, Broward County is proposed 
to match the May result in Dade County of $7.40 in the southernmost 
part of Florida.
Upper Midwest
    In the Upper Midwest region, deviations from the May results are 
proposed to ensure producer equity and ensure the marketwide pool 
provides for orderly marketing. The Upper Midwest FMMO is unique in its 
low Class I utilization, which creates challenges in setting a 
differential surface that sends the proper signals to producers 
supplying the Class I market while also ensuring producer equity and 
orderly marketing among producers supplying the region's plants. 
Estimates indicate a large differential range in the region would not 
result in equity between producers and could result in disorderly 
marketing. Therefore, the differential surface was flattened from the 
May results, in general, by raising the differentials in the western 
part of the region--in the eastern Dakotas and much of Minnesota--and 
lowering the differentials in the eastern part--in northern Illinois, 
southeastern Minnesota, and Wisconsin.
    Differentials in five counties, Dakota, Hennepin, Ramsey, Scott, 
and Washington, in the Minneapolis/St. Paul metropolitan area of 
Minnesota, are raised $0.10 higher than neighboring counties to reflect 
higher costs of serving an urban area and incentivize Class I service 
relative to surrounding manufacturing plants. In addition, they are set 
at the same differential of $2.90 to promote handler equity among fluid 
processing plants in the metropolitan area. The new differential for 
these counties, except for Hennepin, are $0.10 to $0.20 above the May 
results. The differential for Hennepin, $0.30 above the May results, is 
set the same as its peer counties to ensure that handlers in this 
county are able to compete for available milk supplies on an equitable 
basis.
    Differentials in the regions supplying the Chicago, Illinois, area 
are adjusted to ensure handler equity. Generally, the differentials in 
this area are set at $3.10 to $3.20. The record reflects bottling 
plants in eastern Iowa, northern Illinois, southeastern Wisconsin, 
northern Indiana, and southwest Michigan all compete for Class I sales 
into the Chicago area. Thus, Class I differentials in northern Illinois 
are lowered $0.20 and $0.10 in Kane and Winnebago counties, 
respectively, from the May results. Similarly, comparisons and 
adjustments were made to the May results to align with northern Indiana 
and southwest Michigan counties supplying the Chicago area.
Central
    The proposed differentials in the Central FMMO start at $2.30 in 
western Colorado and increase moving east to $4.00 in southern 
Illinois. The proposal aligns the production area of northern Colorado 
with the large production areas of New Mexico, the Texas Panhandle, and 
southwest Kansas at $2.50. This required increasing the differential in 
Weld, Boulder, and Morgan counties of Colorado by $0.10 to $0.20 from 
the May model results. In order to encourage milk to service Class I 
demand, some counties in the greater Denver area, including Colorado 
Springs, are proposed at the May results of $2.70, while others are 
proposed to increase as much as $0.20 above the May results to provide 
for handler equity.
    In southern Illinois, testimony reflects plants compete for sales 
within a similar distribution area. Therefore, counties were grouped 
into a $3.60 zone. This represents an increase of $0.10 for some 
plants, while others remained at the May result of $3.60. In Iowa, all 
counties with distributing plants are set at the May result of $2.70.
    Douglas County, Nebraska, and Minnehaha County, South Dakota, 
proposed differentials are $2.70 and $2.60, an increase of $0.20 and 
$0.10, respectively, from the May results. These increases recognize 
handler equity both to the east with Polk County, Iowa, and to the 
north with Cass County, North Dakota.
    In Kansas, the two counties with distributing plants, Reno and 
Sedgwick, are proposed to be $2.90, as they are neighboring counties, 
and the same differential levels would provide for handler equity. This 
increase also provides handler equity and price alignment with Oklahoma 
plants to the south.
    In Oklahoma, Lincoln, Cleveland, and Grady counties are proposed at 
the same differential of $3.30. Lincoln and Cleveland counties are 
proposed at the May results, while this represents a $0.20 increase for 
Grady County. The $3.30 differential for these three counties provides 
for handler equity and price alignment both to the north in Kansas and 
the south in Texas.
Mideast
    Differentials in the Mideast region were evaluated on a state-by-
state basis. Michigan differentials are set at the May results, $3.00 
in the upper peninsula and $3.30 in the lower peninsula, because there 
were no additional producer or handler equity issues to address. 
Indiana is divided into three differential zones moving north to south 
($3.30, $3.60, and $3.70) which align with the May results. The 
differentials for Lake and Huntington counties are proposed to be 
lowered by $0.40 and $0.10, respectively, from the May results to 
provide handler equity in the northern Indiana zone. The differentials 
in Madison and Wayne counties are proposed to increase $0.10 and $0.20, 
respectively, from the May results to provide handler equity in the 
central Indiana zone of $3.60. Southern Indiana

[[Page 57636]]

counties are proposed at the May result of $3.70.
    Proposed differentials in Ohio generally follow the May results 
within $0.10 (+/-) and zones were determined based on handler equity 
concerns. Moving northwest to southeast, proposed differential zones 
are $3.30, $3.60, $3.80, $4.00, and $4.30. The five differential zones 
align within a $0.10 (+/-) range of the May results. The exception is 
Cuyahoga County with a proposed $0.20 decrease from the May result to 
provide for hander equity with Wayne and Stark counties.
    Proposed differentials in western Pennsylvania are generally 
consistent with the May results to provide for handler equity, either 
in a $3.90 or $4.00 zone. Butler, Fayette, Lawrence, and Mercer 
counties are proposed to be lowered by $0.10 from the May results to 
the $4.00 zone. West Virgina differentials range from $4.00 to $4.80, 
moving northwest to southeast, consistent with the May results as there 
were no additional producer and handler equity to address.
Southwest
    The proposed differentials in the Southwest FMMO start at $2.30 in 
northwest New Mexico and increase moving southeast to $4.80 in 
southeast Texas. Bernalillo County, New Mexico, is proposed to increase 
$0.30 from the May result to provide for handler and producer equity 
with nearby manufacturing plants. Testimony reflects the Texas 
Panhandle and southeastern New Mexico regions contain mostly 
manufacturing plants and draw milk from the same supply region in the 
Panhandle. For producer equity concerns, these regions are proposed to 
be in a $2.50 zone. This matches the May results for the eastern New 
Mexico plant locations, necessitating a proposed increase of $0.10 to 
$0.30 in counties within the Panhandle region to reach a uniform $2.50 
zone. In Lubbock County, Texas, the differential is proposed at $2.60, 
a decrease of $0.20 from the May result, recognizing handler equity in 
the Panhandle region and producer equity considerations with 
manufacturing plants competing for milk supplies. Dallas County, Texas, 
is proposed at the May result of $3.70 and a $0.10 increase is proposed 
for Tarrant County to maintain handler equity. Bexar County, Texas is 
proposed at $4.30, a $0.10 increase from the May result, and Harris and 
Montgomery counties are proposed at $4.80, a $0.20 increase from the 
May result to reflect difficulties in servicing congested urban areas.
Arizona
    In Arizona, the metropolitan area of Phoenix encompasses both 
Maricopa and Pinal counties. The differentials for these counties are 
proposed to increase $0.30 and $0.20, respectively, above the May 
results to reflect the higher cost of servicing an urban area, in 
addition to providing handler equity with Clark County, Nevada. The 
differential for Yuma County is proposed at $2.50, an increase of $0.40 
from the May result to maintain handler equity between Maricopa County, 
Arizona, and Los Angeles, California.
California
    For California, testimony was given regarding additional 
transportation costs from excessive traffic congestion and geographic 
obstacles in southern California that were not accounted for in the 
model. Accordingly, the differential in San Diego is proposed to 
increase $0.20 from the May result to $2.80. To maintain handler equity 
within the southern California region, the differentials for Orange, 
Riverside, and Los Angeles counties are proposed to be $2.80. This is 
$0.40, $0.50 and $0.60 above the May results in Orange, Riverside, and 
Los Angeles counties, respectively. Ventura County is proposed to 
increase $0.40 from the May result, to $2.60, to address producer 
equity concerns and ensure price alignment with the surrounding 
counties. For Kern County, the primary milk supply area for much of 
this region, the differential is proposed to be $2.50. This also serves 
to encourage Kern County milk to move south to distributing plants, 
rather than north to manufacturing plants where the proposed 
differential is $2.20.
    The differentials in the remaining San Joaquin Valley counties, 
Tulare, Kings, Fresno, Madera, Merced, Stanislaus, and San Joaquin, are 
proposed to be $2.20 based on testimony indicating these counties are 
considered one supply area. Of these counties, Madera County has the 
highest increase from the May result, $0.40, to maintain handler equity 
as well as maintain producer equity for the producer milk in this area.
    The proposed $2.20 differential zone is then carried into the 
Sacramento Valley counties of Sacramento, Yolo, Colusa, and Glenn, an 
increase of $0.20 to $0.30 from the May results. These counties, along 
with those in the San Joaquin Valley, supply milk for distributing 
plants in the San Francisco Bay area. The proposed differentials for 
Alameda, Contra Costa, Solano, Napa, Marin, and Sonoma counties are set 
at $2.40 to encourage milk to service the San Francisco Bay area. This 
represents an increase of $0.40 to $0.50 from the May model results for 
these supply counties to maintain handler equity.
    San Francisco and counties south along the central California coast 
are further from a milk supply. The differentials in that area are 
proposed at $2.50 and include San Francisco, San Mateo, Santa Cruz, 
Santa Clara, San Benito, Monterey, San Luis Obispo, and Santa Barbara 
counties, representing increases from the May results of $0.20 to 
$0.50.
    Similar to the Sacramento Valley, the differentials for the 
counties of Mendocino, Lake, and Humboldt, which are located along the 
northeast California coast and supply the San Francisco Bay area, are 
proposed to be $2.20 to provide for producer equity.
Western Unregulated States
    Differentials in Nevada generally follow the May results, except 
for a few modifications. In northern Nevada, to provide for handler 
equity, Washoe County is proposed to increase $0.10 from the May result 
to align with the neighboring $2.00 California zone. Eureka, Nye, and 
Esmerelda counties are proposed at $2.20, resulting in changes from the 
May results of plus or minus $0.10.
    The proposed differentials in Utah start at $2.00 in the north and 
increase moving south up to $2.50 in the southwest part of the State. 
While most of the proposed differentials are aligned with the May 
results, the counties of Davis, Morgan, Salt Lake, Tooele, Utah, and 
Weber are recommended at $2.20, an increase of $0.10. This aligns those 
counties with counties to the north and west, ensuring both producer 
and handler equity.
    The proposed differentials in the state of Montana start at $1.70 
and increase to $2.40 in the southeast part of the state. Most of the 
proposed differentials are aligned with the May results. The only 
county with a proposed differential more than $0.10 different from the 
May result is Golden Valley which is lowered $0.20 to ensure handler 
equity with the counties to its north and south.
    The proposed differentials in the unregulated portions of the state 
of Idaho start at $1.70 and increase to $2.20. While most of the 
proposed differentials are within $0.10 of the May results, the county 
of Cassia is decreased $0.20 for handler equity with plants to the 
south into Utah. This brings the unregulated Idaho counties in 
alignment with counties to the north and south, ensuring both producer 
and handler equity with those areas.

[[Page 57637]]

    Lastly, the proposed differentials in Wyoming generally follow the 
May results as there were no producer or handler equity concerns to 
address. Except for Laramie, Wyoming, which is proposed at $2.50 to 
align with neighboring Northeast Colorado. This represents a $0.20 
increase compared to the May results.
Pacific Northwest
    In the Pacific Northwest, the proposed differential in Seattle was 
increased $0.30 above the May result to reflect unique geography and 
the cost of serving an urban market. Likewise, the proposed 
differential in Portland, Oregon, was increased from the May result to 
align with Seattle to provide for producer and handler equity. 
Testimony reflected both cities are equidistant to milk supplies in 
south central Washington, and both have similar supply issues. The 
remaining proposed differentials reflect a $0.20 banding around the May 
results.
    Summary
    In total, the differentials proposed by this decision reflect a 
simple average $0.01 higher than the USDSS model May results ($3.81 
versus $3.80) for the 3,108 counties in the contiguous U.S.
    The following is a general description of the changes from the 
USDSS model May results:

------------------------------------------------------------------------
                                               Range of       Number of
           Number of counties                 difference        plants
------------------------------------------------------------------------
5.......................................   -$0.40 to -$0.60            1
224.....................................   -$0.20 to -$0.30           12
2,652...................................   -$0.10 to +$0.10          172
190.....................................   +$0.20 to +$0.30           35
37......................................    +$0.40 to $0.60           22
------------------------------------------------------------------------

    An analysis shows the proposed differentials, on a weighted average 
basis for FMMO Class I milk (2019-2023), increased $1.24/cwt. Based on 
pooled Class I milk during 2019-2023, the current weighted Class I 
differential was $2.63 per cwt. The proposed differentials would have 
increased the weighted average to $3.87 per cwt.
Other Issues
    In post-hearing briefs, some stakeholders objected to NMPF's use of 
producer costs of production for proposing updated Class I differential 
levels. As described above, such costs were not considered in the 
development of the Class I differentials recommended in this decision.
    Another argument made in post-hearing briefs centered on the 
amended TCBF provisions in the Appalachian and Southeast FMMOs and 
newly established DPDC provisions in the Appalachian, Florida, and 
Southeast FMMOs. These provisions became effective March 1, 2024, and 
were a result of a regional rulemaking proceeding to address the 
chronic milk supply issues of those regions. 89 FR 6401 (Feb. 1, 2024). 
As the proceeding resulted in increased transportation cost related 
assessments on Class I handlers, some stakeholders argue no changes 
should be made to the Class I differentials until the impact of these 
regional changes can be observed.
    The Appalachian, Florida, and Southeast FMMOs adopted marketwide 
service payment provisions that authorize year-round assessments on 
Class I milk, paid by handlers, for payment to handlers for Class I 
deliveries made to their plants according to the TCBF and DPDC 
provisions. Under the marketwide service provisions of the AMAA, 
marketwide service programs are only authorized to pay monies to 
handlers. 7 U.S.C. 608c(5)(J). Therefore, it would not be appropriate 
to delay consideration of Class I differential levels, monies which are 
paid to producers (both cooperative and independent), for TCBF and DPDC 
payments which are made only to handlers. If Class I differential 
levels are changed as a result of this proceeding, thus impacting the 
market conditions which led to the creation of the marketwide service 
programs, stakeholders could petition USDA to make changes to the TCBF 
and DPDC provisions.
b. Class II Differential
    The FMMO system currently prices milk used in Class II products 
uniformly. The Class II skim milk price is computed as the advanced 
Class IV skim price plus $0.70 per cwt. The Class II butterfat price is 
the Class III butterfat price for the month, plus the same amount 
expressed as $0.007 per pound. The $0.70 differential between the Class 
IV and Class II skim milk prices, adopted in the Order Reform Final 
Decision, was based on an estimate of the cost of drying condensed milk 
and re-wetting the solids for use in Class II products, which was seen 
as an economic, upper-bound constraint on the use of fresh milk in 
Class II processing.
    Proposal 21, submitted by AFBF, seeks to update the Class II 
differential to $1.56 per cwt. AFBF derived the proposed level by 
updating the factors originally used to determine drying cost. Those 
include the NFDM make allowance and the nonfat solids yield factor used 
in the FMMO formulas, and butterfat and nonfat solids levels in FMMO 
pooled milk. As rewetting solids, the practice of first reconstituting 
powdered milk with water, is no longer a common practice, AFBF argued 
such cost no longer needs to be considered. AFBF opined a $1.56 Class 
II differential would not be high enough to incentivize the 
substitution of Class IV products for fresh milk. AFBF claimed the 
additional Class II value added to the marketwide pool because of the 
higher differential would reduce the occurrence of negative PPDs and 
depooling.
    Opponents of Proposal 21 argued such a large Class II differential 
increase would incentivize the substitution of Class IV products in the 
manufacture of Class II products. Class I processors, who also have 
Class II production, argued such an increase would put them at a 
competitive disadvantage with standalone Class II manufacturers. They 
indicated processors who produce both products are required to pool all 
milk received at the plant but processors who only produce Class II 
products can opt to pool milk.
    Record evidence does not support adoption of Proposal 21. 
Mathematically, the formula used by AFBF to compute an updated Class II 
differential mimics the calculation from Order Reform. However, it is 
clear from record testimony that more than doubling the current Class 
II differential, as proposed by AFBF,

[[Page 57638]]

would result in handler equity issues and increased substitution of 
Class IV products in lieu of fresh fluid milk in Class II products. 
Class II production is unusual, if not unique, among dairy processing 
facilities as some products are produced at Class I plants, and others 
at standalone Class II plants. Because all milk received at Class I 
plants is required to be pooled, regardless of use, this can result in 
the same products having different regulatory burdens depending on the 
type of plant where it was produced. That phenomenon has existed since 
2000. However, the record shows that instances of milk in Class II 
products produced from Class II plants not being pooled could 
dramatically increase with adoption of Proposal 21. The result would be 
a competitive disadvantage for Class I plants by creating a pricing 
inequity that would produce disorderly marketing conditions. 
Accordingly, Proposal 21 is denied.

Conforming Changes

    Proposal 22, authored by AMS, would authorize changes, where 
necessary, in the respective marketing orders to conform with any 
amendments resulting from this proceeding. The record contains no 
opposition to the proposal. Accordingly, this decision recommends a 
series of conforming changes to ensure the proposed amendments to the 
uniform pricing formulas applicable to the respective marketing orders 
can be effectuated. The proposed changes are as follows:
    1. Amending 7 CFR 1000.43 to remove references to 1135.11, as the 
order is no longer in effect. Also adding 7 CFR 1000.43(e) which would 
define skim milk used in ultra-pasteurized or aseptically processed and 
packaged fluid milk products eligible for the Class I ESL adjustment be 
limited to available Class I producer milk classified pursuant to the 
allocation process contained in Section1000.44(a);
    2. Amending 7 CFR 1000.50 to remove all references to NASS and 
replace them with AMS;
    3. Amending the following counties (and FIPS code) in 7 CFR 
1000.52, to be consistent with the Federal Information Procession 
Series maintained by the Federal Communication Commission: Yellowstone, 
MT (30113) has been merged into Gallatin and Park Counties, MT (30031) 
(30067), Shannon, SD (46113) has been renamed Oglala Lakota, SD 
(46102), Bedford City, VA (51515) has been merged into Bedford County, 
VA (51019), and Clifton Forge City, VA (51560) has been merged into 
Alleghany County, VA (51005). Additionally, amending the FIPS code for 
Pierce, WA (53053) as it was original printed incorrectly.
    4. Amending 7 CFR 1000.76, provisions governing partially regulated 
distributing plants to add ``applicable'' to references to the Class I 
price throughout the section to indicate application of a Class I ESL 
adjustment, when applicable, and remove the reference in 7 CFR 
1000.76(b)(1)(i) to 7 CFR 1135.11 as the latter is no longer in effect;
    5. Amend the introductory paragraphs of 7 CFR 1001.60, 1005.60, 
1006.60, 1007.60, 1030.60, 1032.60, 1033.60, 1051.60, 1124.60, 1126.60, 
and 1131.60, sections which calculate the handler's value of milk in 
each FMMO. Section .60 of each order would be revised with the addition 
of an instruction to compute an adjustment to a handler's producer milk 
obligation for Class I producer milk eligible for the Class I ESL 
adjustment. The adjustment would be calculated by multiplying the 
monthly Class I ESL adjustment by the monthly pounds of eligible Class 
I skim milk. The instruction would be inserted prior to the instruction 
regarding reconstituted milk for each order. Other paragraphs are 
proposed to be redesignated to reflect the insertion;
    6. Further amending 7 CFR 1005.60(g), 1006.60(g)-(i), and 
1007.60(g) to remove language pertaining to transportation cost 
reimbursement during the months of January 2005 through March 2005 and 
September 2017, which is no longer in effect; and
    7. Amending 7 CFR 1005.51, 1006.51, and 1007.51 to remove Class I 
price adjustments in the Appalachian, Florida, and Southeast FMMOs. The 
order language would no longer be necessary with the proposed 
amendments to the Class I differentials.

Rulings on Proposed Findings and Conclusions

    Briefs, proposed findings, and conclusions were filed on behalf of 
certain interested parties. These briefs, proposed findings, 
conclusions, and the evidence in the record were considered in making 
the findings and conclusions set forth above. To the extent that the 
suggested findings and conclusions filed by interested parties are 
inconsistent with the findings and conclusions set forth herein, the 
claims to make such findings or reach such conclusions are denied for 
the reasons previously stated in this decision.

General Findings

    The findings and determinations hereinafter set forth supplement 
those that were made when the Northeast, Southeast, Appalachian, 
Florida, Upper Midwest, Central, Mideast, California, Southwest, 
Pacific Northwest, and Arizona FMMOs were first issued and when they 
were amended. The previous findings and determinations are hereby 
ratified and confirmed, except where they may conflict with those set 
forth herein.
    The following findings are hereby made with respect to the 
aforenamed marketing agreements and orders:
    a. The tentative marketing agreements and the orders, as hereby 
proposed to be amended, and all of the terms and conditions thereof, 
will tend to effectuate the declared policy of the Act;
    b. The parity prices of milk as determined pursuant to section 2 of 
the Act are not reasonable with respect to the price of feeds, 
available supplies of feeds, and other economic conditions that affect 
market supply and demand for milk in the marketing area, and the 
minimum prices specified in the proposed marketing agreements and the 
orders are such prices as will reflect the aforesaid factors, ensure a 
sufficient quantity of pure and wholesome milk, and be in the public 
interest; and
    c. The proposed marketing agreements and the orders will regulate 
the handling of milk in the same manner as and will be applicable only 
to persons in the respective classes of industrial and commercial 
activity specified in, the marketing agreements upon which a hearing 
have been held.
    d. All milk and milk products handled by handlers, as defined in 
the marketing agreements and the orders as hereby proposed to be 
amended, are in the current of interstate commerce or directly burden, 
obstruct, or affect interstate commerce in milk or its products.

Recommended Marketing Agreements and Orders

    The recommended marketing agreements are not included in this 
decision because the regulatory provisions thereof would be the same as 
those contained in the orders, as hereby proposed to be amended. The 
following orders regulating the handling of milk in Northeast, 
Appalachian, Florida, Southeast, Upper Midwest, Central, Mideast, 
California, Pacific Northwest, Southwest, and Arizona marketing areas 
are recommended as the detailed and appropriate means by which the 
foregoing conclusions may be carried out.

List of Subjects in 7 CFR Parts 1000, 1001, 1005, 1006, 1007, 1030, 
1032, 1033, 1051, 1124, 1126, and 1131

    Milk marketing orders.


[[Page 57639]]


    For the reasons set forth in the preamble, AMS proposes to amend 7 
CFR parts 1000, 1001, 1005, 1006, 1007, 1030, 1032, 1033, 1051, 1124, 
1126, and 1131 as follows:

PART 1000--GENERAL PROVISIONS OF FEDERAL MILK MARKETING ORDERS

0
1. The authority citation for 7 CFR part 1000 continues to read as 
follows:

    Authority: 7 U.S.C. 601-674, and 7253.

0
2. Amend Sec.  1000.43 by removing the words ``and Sec.  1135.11 of 
this chapter'' from paragraph (a) and paragraph (b) introductory text 
and the words ``or Sec.  1135.11 of this chapter'' from paragraph 
(b)(2) and by adding paragraph (e) to read as follows:


Sec.  1000.43  General classification rules.

* * * * *
    (e) Any skim milk used in ultra-pasteurized or aseptically 
processed and packaged fluid milk products shall be allocated in 
combination with Class I milk and the quantity of producer milk 
eligible to be priced shall be limited to available Class I producer 
milk classified pursuant to Sec.  1000.44(a).
0
3. Revise and republish Sec.  1000.50 to read as follows:


Sec.  1000.50  Class prices, component prices, and advanced pricing 
factors.

    Class prices per hundredweight of milk containing 3.5 percent 
butterfat, component prices, and advanced pricing factors shall be as 
follows. The prices and pricing factors described in paragraphs (a), 
(b), (c), (e), (f), and (q) of this section shall be based on a 
weighted average of the most recent 2 weekly prices announced by the 
Agriculture Marketing Service (AMS) before the 24th day of the month. 
These prices shall be announced on or before the 23rd day of the month 
and shall apply to milk received during the following month. The prices 
described in paragraphs (g) through (p) of this section shall be based 
on a weighted average for the preceding month of weekly prices 
announced by AMS on or before the 5th day of the month and shall apply 
to milk received during the preceding month. The price described in 
paragraph (d) of this section shall be derived from the Class II skim 
milk price announced on or before the 23rd day of the month preceding 
the month to which it applies and the butterfat price announced on or 
before the 5th day of the month following the month to which it 
applies.
    (a) Class I price. The Class I price per hundredweight, rounded to 
the nearest cent, shall be 0.965 times the Class I skim milk price plus 
3.5 times the Class I butterfat price.
    (b) Class I skim milk price. The Class I skim milk price per 
hundredweight shall be the adjusted Class I differential specified in 
Sec.  1000.52, plus the higher of the advanced pricing factors computed 
in paragraph (q)(1) or (2) of this section rounded to the nearest cent.
    (c) Class I butterfat price. The Class I butterfat price per pound 
shall be the adjusted Class I differential specified in Sec.  1000.52 
divided by 100, plus the advanced butterfat price computed in paragraph 
(q)(3) of this section.
    (d) Class II price. The Class II price per hundredweight, rounded 
to the nearest cent, shall be .965 times the Class II skim milk price 
plus 3.5 times the Class II butterfat price.
    (e) Class II skim milk price. The Class II skim milk price per 
hundredweight shall be the advanced Class IV skim milk price computed 
in paragraph (q)(2) of this section plus 70 cents.
    (f) Class II nonfat solids price. The Class II nonfat solids price 
per pound, rounded to the nearest one-hundredth cent, shall be the 
Class II skim milk price divided by 9.3.
    (g) Class II butterfat price. The Class II butterfat price per 
pound shall be the butterfat price plus $0.007.
    (h) Class III price. The Class III price per hundredweight, rounded 
to the nearest cent, shall be 0.965 times the Class III skim milk price 
plus 3.5 times the butterfat price.
    (i) Class III skim milk price. The Class III skim milk price per 
hundredweight, rounded to the nearest cent, shall be the protein price 
per pound times 3.30 plus the other solids price per pound times 6.00.
    (j) Class IV price. The Class IV price per hundredweight, rounded 
to the nearest cent, shall be 0.965 times the Class IV skim milk price 
plus 3.5 times the butterfat price.
    (k) Class IV skim milk price. The Class IV skim milk price per 
hundredweight, rounded to the nearest cent, shall be the nonfat solids 
price per pound times 9.30.
    (l) Butterfat price. The butterfat price per pound, rounded to the 
nearest one-hundredth cent, shall be the U.S. average AMS AA Butter 
survey price reported by the Department for the month, less 22.57 
cents, with the result multiplied by 1.211.
    (m) Nonfat solids price. The nonfat solids price per pound, rounded 
to the nearest one-hundredth cent, shall be the U.S. average AMS nonfat 
dry milk survey price reported by the Department for the month, less 
22.68 cents and multiplying the result by 0.99.
    (n) Protein price. The protein price per pound, rounded to the 
nearest one-hundredth cent, shall be computed as follows:
    (1) The U.S. average AMS survey price for 40-lb. block cheese 
reported by the Department for the month;
    (2) Subtract 25.04 cents from the price computed pursuant to 
paragraph (n)(1) of this section and multiply the result by 1.383;
    (3) Add to the amount computed pursuant to paragraph (n)(2) of this 
section an amount computed as follows:
    (i) Subtract 25.04 cents from the price computed pursuant to 
paragraph (n)(1) of this section and multiply the result by 1.589; and
    (ii) Subtract 0.91 times the butterfat price computed pursuant to 
paragraph (l) of this section from the amount computed pursuant to 
paragraph (n)(3)(i) of this section; and
    (iii) Multiply the amount computed pursuant to paragraph (n)(3)(ii) 
of this section by 1.17.
    (o) Other solids price. The other solids price per pound, rounded 
to the nearest one-hundredth cent, shall be the U.S. average AMS dry 
whey survey price reported by the Department for the month minus 26.53 
cents, with the result multiplied by 1.03.
    (p) Somatic cell adjustment. The somatic cell adjustment per 
hundredweight of milk shall be determined as follows:
    (1) Multiply 0.0005 by the weighted average price computed pursuant 
to paragraph (n)(1) of this section and round to the 5th decimal place;
    (2) Subtract the somatic cell count of the milk (reported in 
thousands) from 350; and
    (3) Multiply the amount computed in paragraph (p)(1) of this 
section by the amount computed in paragraph (p)(2) of this section and 
round to the nearest full cent.
    (q) Advanced pricing factors. For the purpose of computing the 
Class I skim milk price, the Class II skim milk price, the Class II 
nonfat solids price, and the Class I butterfat price for the following 
month, the following pricing factors shall be computed using the 
weighted average of the 2 most recent AMS U.S. average weekly survey 
prices announced before the 24th day of the month:
    (1) An advanced Class III skim milk price per hundredweight, 
rounded to the nearest cent, shall be computed as follows:
    (i) Following the procedure set forth in paragraphs (n) and (o) of 
this section, but using the weighted average of the 2 most recent AMS 
U.S. average weekly survey prices announced before the 24th

[[Page 57640]]

day of the month, compute a protein price and an other solids price;
    (ii) Multiply the protein price computed in paragraph (q)(1)(i) of 
this section by 3.30;
    (iii) Multiply the other solids price per pound computed in 
paragraph (q)(1)(i) of this section by 6.0; and
    (iv) Add the amounts computed in paragraphs (q)(1)(ii) and (iii) of 
this section.
    (2) An advanced Class IV skim milk price per hundredweight, rounded 
to the nearest cent, shall be computed as follows:
    (i) Following the procedure set forth in paragraph (m) of this 
section, but using the weighted average of the 2 most recent AMS U.S. 
average weekly survey prices announced before the 24th day of the 
month, compute a nonfat solids price; and
    (ii) Multiply the nonfat solids price computed in paragraph 
(q)(2)(i) of this section by 9.30.
    (3) An advanced butterfat price per pound rounded to the nearest 
one-hundredth cent, shall be calculated by computing a weighted average 
of the 2 most recent U.S. average AMS AA Butter survey prices announced 
before the 24th day of the month, subtracting 22.57 cents from this 
average, and multiplying the result by 1.211.
    (r) Class I Extended Shelf Life (ESL) adjustment. The Class I ESL 
adjustment, rounded to the nearest cent, shall be computed as follows:
    (1) Compute the simple average of the advanced pricing factors 
computed in paragraphs (q)(1) and (2) of this section;
    (2) Add the following:
    (i) Determine the higher of the advanced pricing factors computed 
in paragraphs (q)(1) and (2) of this section, for each of the preceding 
13 to 36 months;
    (ii) Calculate the average of the advanced pricing factors computed 
in paragraphs (q)(1) and (2) of this section, for each of the preceding 
13 to 36 months;
    (iii) For each of the preceding 13 to 36 months, subtract the 
amount computed in paragraph (r)(2)(ii) of this section from the amount 
computed in paragraph (r)(2)(i) of this section; and
    (iv) Compute the average of the differences computed in paragraph 
(r)(2)(iii) of this section.
    (3) Subtract the higher of the advanced pricing factors computed in 
paragraphs (q)(1) and (2) of this section.
0
4. Revise and republish Sec.  1000.52 to read as follows:


Sec.  1000.52  Adjusted Class I differentials.

    The Class I differential adjusted for location to be used in Sec.  
1000.50(b) and (c) shall be as follows:

----------------------------------------------------------------------------------------------------------------
                                                                                                      Class I
                                                                                                   differential
               County/parish/city                             State                  FIPS code     adjusted for
                                                                                                     location
----------------------------------------------------------------------------------------------------------------
Autauga........................................  AL                                        01001            5.80
Baldwin........................................  AL                                        01003            5.80
Barbour........................................  AL                                        01005            5.80
Bibb...........................................  AL                                        01007            5.60
Blount.........................................  AL                                        01009            5.40
Bullock........................................  AL                                        01011            5.80
Butler.........................................  AL                                        01013            5.80
Calhoun........................................  AL                                        01015            5.60
Chambers.......................................  AL                                        01017            5.60
Cherokee.......................................  AL                                        01019            5.40
Chilton........................................  AL                                        01021            5.60
Choctaw........................................  AL                                        01023            5.80
Clarke.........................................  AL                                        01025            5.80
Clay...........................................  AL                                        01027            5.60
Cleburne.......................................  AL                                        01029            5.60
Coffee.........................................  AL                                        01031            5.80
Colbert........................................  AL                                        01033            4.90
Conecuh........................................  AL                                        01035            5.80
Coosa..........................................  AL                                        01037            5.60
Covington......................................  AL                                        01039            5.80
Crenshaw.......................................  AL                                        01041            5.80
Cullman........................................  AL                                        01043            5.40
Dale...........................................  AL                                        01045            5.80
Dallas.........................................  AL                                        01047            5.80
DeKalb.........................................  AL                                        01049            5.40
Elmore.........................................  AL                                        01051            5.80
Escambia.......................................  AL                                        01053            5.80
Etowah.........................................  AL                                        01055            5.40
Fayette........................................  AL                                        01057            5.40
Franklin.......................................  AL                                        01059            5.20
Geneva.........................................  AL                                        01061            5.80
Greene.........................................  AL                                        01063            5.60
Hale...........................................  AL                                        01065            5.60
Henry..........................................  AL                                        01067            5.80
Houston........................................  AL                                        01069            5.80
Jackson........................................  AL                                        01071            5.20
Jefferson......................................  AL                                        01073            5.60
Lamar..........................................  AL                                        01075            5.40
Lauderdale.....................................  AL                                        01077            4.90
Lawrence.......................................  AL                                        01079            5.20
Lee............................................  AL                                        01081            5.80
Limestone......................................  AL                                        01083            5.20
Lowndes........................................  AL                                        01085            5.80

[[Page 57641]]

 
Macon..........................................  AL                                        01087            5.80
Madison........................................  AL                                        01089            5.20
Marengo........................................  AL                                        01091            5.80
Marion.........................................  AL                                        01093            5.20
Marshall.......................................  AL                                        01095            5.40
Mobile.........................................  AL                                        01097            5.80
Monroe.........................................  AL                                        01099            5.80
Montgomery.....................................  AL                                        01101            5.80
Morgan.........................................  AL                                        01103            5.40
Perry..........................................  AL                                        01105            5.60
Pickens........................................  AL                                        01107            5.40
Pike...........................................  AL                                        01109            5.80
Randolph.......................................  AL                                        01111            5.60
Russell........................................  AL                                        01113            5.80
Shelby.........................................  AL                                        01117            5.60
St. Clair......................................  AL                                        01115            5.60
Sumter.........................................  AL                                        01119            5.60
Talladega......................................  AL                                        01121            5.60
Tallapoosa.....................................  AL                                        01123            5.60
Tuscaloosa.....................................  AL                                        01125            5.60
Walker.........................................  AL                                        01127            5.40
Washington.....................................  AL                                        01129            5.80
Wilcox.........................................  AL                                        01131            5.80
Winston........................................  AL                                        01133            5.40
Arkansas.......................................  AR                                        05001            4.60
Ashley.........................................  AR                                        05003            4.90
Baxter.........................................  AR                                        05005            3.60
Benton.........................................  AR                                        05007            3.20
Boone..........................................  AR                                        05009            3.30
Bradley........................................  AR                                        05011            4.60
Calhoun........................................  AR                                        05013            4.60
Carroll........................................  AR                                        05015            3.30
Chicot.........................................  AR                                        05017            4.90
Clark..........................................  AR                                        05019            4.00
Clay...........................................  AR                                        05021            4.30
Cleburne.......................................  AR                                        05023            4.00
Cleveland......................................  AR                                        05025            4.60
Columbia.......................................  AR                                        05027            4.30
Conway.........................................  AR                                        05029            4.00
Craighead......................................  AR                                        05031            4.30
Crawford.......................................  AR                                        05033            3.30
Crittenden.....................................  AR                                        05035            4.60
Cross..........................................  AR                                        05037            4.30
Dallas.........................................  AR                                        05039            4.30
Desha..........................................  AR                                        05041            4.90
Drew...........................................  AR                                        05043            4.60
Faulkner.......................................  AR                                        05045            4.00
Franklin.......................................  AR                                        05047            3.60
Fulton.........................................  AR                                        05049            4.00
Garland........................................  AR                                        05051            4.00
Grant..........................................  AR                                        05053            4.30
Greene.........................................  AR                                        05055            4.30
Hempstead......................................  AR                                        05057            4.00
Hot Spring.....................................  AR                                        05059            4.30
Howard.........................................  AR                                        05061            4.00
Independence...................................  AR                                        05063            4.00
Izard..........................................  AR                                        05065            4.00
Jackson........................................  AR                                        05067            4.30
Jefferson......................................  AR                                        05069            4.60
Johnson........................................  AR                                        05071            3.60
Lafayette......................................  AR                                        05073            4.30
Lawrence.......................................  AR                                        05075            4.30
Lee............................................  AR                                        05077            4.60
Lincoln........................................  AR                                        05079            4.60
Little River...................................  AR                                        05081            3.60
Logan..........................................  AR                                        05083            3.60
Lonoke.........................................  AR                                        05085            4.30
Madison........................................  AR                                        05087            3.30
Marion.........................................  AR                                        05089            3.60
Miller.........................................  AR                                        05091            4.00
Mississippi....................................  AR                                        05093            4.30

[[Page 57642]]

 
Monroe.........................................  AR                                        05095            4.60
Montgomery.....................................  AR                                        05097            4.00
Nevada.........................................  AR                                        05099            4.30
Newton.........................................  AR                                        05101            3.60
Ouachita.......................................  AR                                        05103            4.30
Perry..........................................  AR                                        05105            4.00
Phillips.......................................  AR                                        05107            4.60
Pike...........................................  AR                                        05109            4.00
Poinsett.......................................  AR                                        05111            4.30
Polk...........................................  AR                                        05113            3.60
Pope...........................................  AR                                        05115            3.60
Prairie........................................  AR                                        05117            4.30
Pulaski........................................  AR                                        05119            4.30
Randolph.......................................  AR                                        05121            4.00
Saline.........................................  AR                                        05125            4.30
Scott..........................................  AR                                        05127            3.60
Searcy.........................................  AR                                        05129            3.60
Sebastian......................................  AR                                        05131            3.60
Sevier.........................................  AR                                        05133            3.60
Sharp..........................................  AR                                        05135            4.00
St. Francis....................................  AR                                        05123            4.60
Stone..........................................  AR                                        05137            4.00
Union..........................................  AR                                        05139            4.60
Van Buren......................................  AR                                        05141            4.00
Washington.....................................  AR                                        05143            3.30
White..........................................  AR                                        05145            4.30
Woodruff.......................................  AR                                        05147            4.30
Yell...........................................  AR                                        05149            3.60
Apache.........................................  AZ                                        04001            2.30
Cochise........................................  AZ                                        04003            2.40
Coconino.......................................  AZ                                        04005            2.40
Gila...........................................  AZ                                        04007            2.40
Graham.........................................  AZ                                        04009            2.40
Greenlee.......................................  AZ                                        04011            2.40
La Paz.........................................  AZ                                        04012            2.50
Maricopa.......................................  AZ                                        04013            2.60
Mohave.........................................  AZ                                        04015            2.50
Navajo.........................................  AZ                                        04017            2.30
Pima...........................................  AZ                                        04019            2.40
Pinal..........................................  AZ                                        04021            2.60
Santa Cruz.....................................  AZ                                        04023            2.40
Yavapai........................................  AZ                                        04025            2.40
Yuma...........................................  AZ                                        04027            2.50
Alameda........................................  CA                                        06001            2.40
Alpine.........................................  CA                                        06003            1.80
Amador.........................................  CA                                        06005            1.80
Butte..........................................  CA                                        06007            2.00
Calaveras......................................  CA                                        06009            1.80
Colusa.........................................  CA                                        06011            2.20
Contra Costa...................................  CA                                        06013            2.40
Del Norte......................................  CA                                        06015            2.20
El Dorado......................................  CA                                        06017            1.80
Fresno.........................................  CA                                        06019            2.20
Glenn..........................................  CA                                        06021            2.20
Humboldt.......................................  CA                                        06023            2.20
Imperial.......................................  CA                                        06025            2.50
Inyo...........................................  CA                                        06027            2.20
Kern...........................................  CA                                        06029            2.50
Kings..........................................  CA                                        06031            2.20
Lake...........................................  CA                                        06033            2.20
Lassen.........................................  CA                                        06035            2.00
Los Angeles....................................  CA                                        06037            2.80
Madera.........................................  CA                                        06039            2.20
Marin..........................................  CA                                        06041            2.40
Mariposa.......................................  CA                                        06043            1.80
Mendocino......................................  CA                                        06045            2.20
Merced.........................................  CA                                        06047            2.20
Modoc..........................................  CA                                        06049            2.00
Mono...........................................  CA                                        06051            2.00
Monterey.......................................  CA                                        06053            2.50
Napa...........................................  CA                                        06055            2.40

[[Page 57643]]

 
Nevada.........................................  CA                                        06057            2.00
Orange.........................................  CA                                        06059            2.80
Placer.........................................  CA                                        06061            2.00
Plumas.........................................  CA                                        06063            2.00
Riverside......................................  CA                                        06065            2.80
Sacramento.....................................  CA                                        06067            2.20
San Benito.....................................  CA                                        06069            2.50
San Bernardino.................................  CA                                        06071            2.60
San Diego......................................  CA                                        06073            2.80
San Francisco..................................  CA                                        06075            2.50
San Joaquin....................................  CA                                        06077            2.20
San Luis Obispo................................  CA                                        06079            2.50
San Mateo......................................  CA                                        06081            2.50
Santa Barbara..................................  CA                                        06083            2.50
Santa Clara....................................  CA                                        06085            2.50
Santa Cruz.....................................  CA                                        06087            2.50
Shasta.........................................  CA                                        06089            2.00
Sierra.........................................  CA                                        06091            2.00
Siskiyou.......................................  CA                                        06093            2.00
Solano.........................................  CA                                        06095            2.40
Sonoma.........................................  CA                                        06097            2.40
Stanislaus.....................................  CA                                        06099            2.20
Sutter.........................................  CA                                        06101            2.20
Tehama.........................................  CA                                        06103            2.20
Trinity........................................  CA                                        06105            2.00
Tulare.........................................  CA                                        06107            2.20
Tuolumne.......................................  CA                                        06109            1.80
Ventura........................................  CA                                        06111            2.60
Yolo...........................................  CA                                        06113            2.20
Yuba...........................................  CA                                        06115            2.00
Adams..........................................  CO                                        08001            2.70
Alamosa........................................  CO                                        08003            2.50
Arapahoe.......................................  CO                                        08005            2.70
Archuleta......................................  CO                                        08007            2.30
Baca...........................................  CO                                        08009            2.50
Bent...........................................  CO                                        08011            2.50
Boulder........................................  CO                                        08013            2.50
Broomfield.....................................  CO                                        08014            2.50
Chaffee........................................  CO                                        08015            2.50
Cheyenne.......................................  CO                                        08017            2.50
Clear Creek....................................  CO                                        08019            2.50
Conejos........................................  CO                                        08021            2.50
Costilla.......................................  CO                                        08023            2.50
Crowley........................................  CO                                        08025            2.70
Custer.........................................  CO                                        08027            2.70
Delta..........................................  CO                                        08029            2.30
Denver.........................................  CO                                        08031            2.70
Dolores........................................  CO                                        08033            2.30
Douglas........................................  CO                                        08035            2.70
Eagle..........................................  CO                                        08037            2.50
El Paso........................................  CO                                        08041            2.70
Elbert.........................................  CO                                        08039            2.70
Fremont........................................  CO                                        08043            2.70
Garfield.......................................  CO                                        08045            2.30
Gilpin.........................................  CO                                        08047            2.50
Grand..........................................  CO                                        08049            2.50
Gunnison.......................................  CO                                        08051            2.50
Hinsdale.......................................  CO                                        08053            2.30
Huerfano.......................................  CO                                        08055            2.70
Jackson........................................  CO                                        08057            2.50
Jefferson......................................  CO                                        08059            2.70
Kiowa..........................................  CO                                        08061            2.50
Kit Carson.....................................  CO                                        08063            2.50
La Plata.......................................  CO                                        08067            2.30
Lake...........................................  CO                                        08065            2.50
Larimer........................................  CO                                        08069            2.50
Las Animas.....................................  CO                                        08071            2.50
Lincoln........................................  CO                                        08073            2.70
Logan..........................................  CO                                        08075            2.50
Mesa...........................................  CO                                        08077            2.30
Mineral........................................  CO                                        08079            2.50

[[Page 57644]]

 
Moffat.........................................  CO                                        08081            2.30
Montezuma......................................  CO                                        08083            2.30
Montrose.......................................  CO                                        08085            2.30
Morgan.........................................  CO                                        08087            2.50
Otero..........................................  CO                                        08089            2.70
Ouray..........................................  CO                                        08091            2.30
Park...........................................  CO                                        08093            2.70
Phillips.......................................  CO                                        08095            2.50
Pitkin.........................................  CO                                        08097            2.50
Prowers........................................  CO                                        08099            2.50
Pueblo.........................................  CO                                        08101            2.70
Rio Blanco.....................................  CO                                        08103            2.30
Rio Grande.....................................  CO                                        08105            2.50
Routt..........................................  CO                                        08107            2.50
Saguache.......................................  CO                                        08109            2.50
San Juan.......................................  CO                                        08111            2.30
San Miguel.....................................  CO                                        08113            2.30
Sedgwick.......................................  CO                                        08115            2.50
Summit.........................................  CO                                        08117            2.50
Teller.........................................  CO                                        08119            2.70
Washington.....................................  CO                                        08121            2.50
Weld...........................................  CO                                        08123            2.50
Yuma...........................................  CO                                        08125            2.50
Fairfield......................................  CT                                        09001            5.00
Hartford.......................................  CT                                        09003            4.80
Litchfield.....................................  CT                                        09005            4.80
Middlesex......................................  CT                                        09007            4.80
New Haven......................................  CT                                        09009            4.80
New London.....................................  CT                                        09011            4.80
Tolland........................................  CT                                        09013            4.80
Windham........................................  CT                                        09015            4.80
District of Columbia...........................  DC                                        11001            4.70
Kent...........................................  DE                                        10001            4.60
New Castle.....................................  DE                                        10003            4.40
Sussex.........................................  DE                                        10005            4.80
Alachua........................................  FL                                        12001            6.40
Baker..........................................  FL                                        12003            6.40
Bay............................................  FL                                        12005            6.00
Bradford.......................................  FL                                        12007            6.40
Brevard........................................  FL                                        12009            6.80
Broward........................................  FL                                        12011            7.40
Calhoun........................................  FL                                        12013            6.00
Charlotte......................................  FL                                        12015            7.00
Citrus.........................................  FL                                        12017            6.80
Clay...........................................  FL                                        12019            6.40
Collier........................................  FL                                        12021            7.40
Columbia.......................................  FL                                        12023            6.40
DeSoto.........................................  FL                                        12027            7.00
Dixie..........................................  FL                                        12029            6.40
Duval..........................................  FL                                        12031            6.40
Escambia.......................................  FL                                        12033            5.80
Flagler........................................  FL                                        12035            6.80
Franklin.......................................  FL                                        12037            6.00
Gadsden........................................  FL                                        12039            6.00
Gilchrist......................................  FL                                        12041            6.40
Glades.........................................  FL                                        12043            7.00
Gulf...........................................  FL                                        12045            6.00
Hamilton.......................................  FL                                        12047            6.40
Hardee.........................................  FL                                        12049            7.00
Hendry.........................................  FL                                        12051            7.40
Hernando.......................................  FL                                        12053            6.80
Highlands......................................  FL                                        12055            7.00
Hillsborough...................................  FL                                        12057            6.80
Holmes.........................................  FL                                        12059            6.00
Indian River...................................  FL                                        12061            7.00
Jackson........................................  FL                                        12063            6.00
Jefferson......................................  FL                                        12065            6.00
Lafayette......................................  FL                                        12067            6.40
Lake...........................................  FL                                        12069            6.80
Lee............................................  FL                                        12071            7.00
Leon...........................................  FL                                        12073            6.00

[[Page 57645]]

 
Levy...........................................  FL                                        12075            6.40
Liberty........................................  FL                                        12077            6.00
Madison........................................  FL                                        12079            6.00
Manatee........................................  FL                                        12081            7.00
Marion.........................................  FL                                        12083            6.80
Martin.........................................  FL                                        12085            7.00
Miami-Dade.....................................  FL                                        12086            7.40
Monroe.........................................  FL                                        12087            7.40
Nassau.........................................  FL                                        12089            6.40
Okaloosa.......................................  FL                                        12091            5.80
Okeechobee.....................................  FL                                        12093            7.00
Orange.........................................  FL                                        12095            6.80
Osceola........................................  FL                                        12097            6.80
Palm Beach.....................................  FL                                        12099            7.40
Pasco..........................................  FL                                        12101            6.80
Pinellas.......................................  FL                                        12103            6.80
Polk...........................................  FL                                        12105            6.80
Putnam.........................................  FL                                        12107            6.40
Santa Rosa.....................................  FL                                        12113            5.80
Sarasota.......................................  FL                                        12115            7.00
Seminole.......................................  FL                                        12117            6.80
St. Johns......................................  FL                                        12109            6.40
St. Lucie......................................  FL                                        12111            7.00
Sumter.........................................  FL                                        12119            6.80
Suwannee.......................................  FL                                        12121            6.40
Taylor.........................................  FL                                        12123            6.40
Union..........................................  FL                                        12125            6.40
Volusia........................................  FL                                        12127            6.80
Wakulla........................................  FL                                        12129            6.00
Walton.........................................  FL                                        12131            6.00
Washington.....................................  FL                                        12133            6.00
Appling........................................  GA                                        13001            6.00
Atkinson.......................................  GA                                        13003            6.00
Bacon..........................................  GA                                        13005            6.00
Baker..........................................  GA                                        13007            5.80
Baldwin........................................  GA                                        13009            5.80
Banks..........................................  GA                                        13011            5.60
Barrow.........................................  GA                                        13013            5.80
Bartow.........................................  GA                                        13015            5.60
Ben Hill.......................................  GA                                        13017            6.00
Berrien........................................  GA                                        13019            6.00
Bibb...........................................  GA                                        13021            5.80
Bleckley.......................................  GA                                        13023            5.80
Brantley.......................................  GA                                        13025            6.00
Brooks.........................................  GA                                        13027            6.00
Bryan..........................................  GA                                        13029            6.00
Bulloch........................................  GA                                        13031            6.00
Burke..........................................  GA                                        13033            6.00
Butts..........................................  GA                                        13035            5.80
Calhoun........................................  GA                                        13037            5.80
Camden.........................................  GA                                        13039            6.00
Candler........................................  GA                                        13043            6.00
Carroll........................................  GA                                        13045            5.60
Catoosa........................................  GA                                        13047            5.40
Charlton.......................................  GA                                        13049            6.00
Chatham........................................  GA                                        13051            6.00
Chattahoochee..................................  GA                                        13053            5.80
Chattooga......................................  GA                                        13055            5.40
Cherokee.......................................  GA                                        13057            5.60
Clarke.........................................  GA                                        13059            5.80
Clay...........................................  GA                                        13061            5.80
Clayton........................................  GA                                        13063            5.80
Clinch.........................................  GA                                        13065            6.00
Cobb...........................................  GA                                        13067            5.60
Coffee.........................................  GA                                        13069            6.00
Colquitt.......................................  GA                                        13071            6.00
Columbia.......................................  GA                                        13073            5.80
Cook...........................................  GA                                        13075            6.00
Coweta.........................................  GA                                        13077            5.80
Crawford.......................................  GA                                        13079            5.80
Crisp..........................................  GA                                        13081            5.80

[[Page 57646]]

 
Dade...........................................  GA                                        13083            5.40
Dawson.........................................  GA                                        13085            5.60
Decatur........................................  GA                                        13087            6.00
DeKalb.........................................  GA                                        13089            5.80
Dodge..........................................  GA                                        13091            5.80
Dooly..........................................  GA                                        13093            5.80
Dougherty......................................  GA                                        13095            5.80
Douglas........................................  GA                                        13097            5.60
Early..........................................  GA                                        13099            5.80
Echols.........................................  GA                                        13101            6.00
Effingham......................................  GA                                        13103            6.00
Elbert.........................................  GA                                        13105            5.80
Emanuel........................................  GA                                        13107            6.00
Evans..........................................  GA                                        13109            6.00
Fannin.........................................  GA                                        13111            5.60
Fayette........................................  GA                                        13113            5.80
Floyd..........................................  GA                                        13115            5.60
Forsyth........................................  GA                                        13117            5.60
Franklin.......................................  GA                                        13119            5.60
Fulton.........................................  GA                                        13121            5.80
Gilmer.........................................  GA                                        13123            5.60
Glascock.......................................  GA                                        13125            5.80
Glynn..........................................  GA                                        13127            6.00
Gordon.........................................  GA                                        13129            5.60
Grady..........................................  GA                                        13131            6.00
Greene.........................................  GA                                        13133            5.80
Gwinnett.......................................  GA                                        13135            5.80
Habersham......................................  GA                                        13137            5.60
Hall...........................................  GA                                        13139            5.60
Hancock........................................  GA                                        13141            5.80
Haralson.......................................  GA                                        13143            5.60
Harris.........................................  GA                                        13145            5.80
Hart...........................................  GA                                        13147            5.60
Heard..........................................  GA                                        13149            5.60
Henry..........................................  GA                                        13151            5.80
Houston........................................  GA                                        13153            5.80
Irwin..........................................  GA                                        13155            6.00
Jackson........................................  GA                                        13157            5.80
Jasper.........................................  GA                                        13159            5.80
Jeff Davis.....................................  GA                                        13161            6.00
Jefferson......................................  GA                                        13163            5.80
Jenkins........................................  GA                                        13165            6.00
Johnson........................................  GA                                        13167            5.80
Jones..........................................  GA                                        13169            5.80
Lamar..........................................  GA                                        13171            5.80
Lanier.........................................  GA                                        13173            6.00
Laurens........................................  GA                                        13175            5.80
Lee............................................  GA                                        13177            5.80
Liberty........................................  GA                                        13179            6.00
Lincoln........................................  GA                                        13181            5.80
Long...........................................  GA                                        13183            6.00
Lowndes........................................  GA                                        13185            6.00
Lumpkin........................................  GA                                        13187            5.60
Macon..........................................  GA                                        13193            5.80
Madison........................................  GA                                        13195            5.80
Marion.........................................  GA                                        13197            5.80
McDuffie.......................................  GA                                        13189            5.80
McIntosh.......................................  GA                                        13191            6.00
Meriwether.....................................  GA                                        13199            5.80
Miller.........................................  GA                                        13201            5.80
Mitchell.......................................  GA                                        13205            5.80
Monroe.........................................  GA                                        13207            5.80
Montgomery.....................................  GA                                        13209            6.00
Morgan.........................................  GA                                        13211            5.80
Murray.........................................  GA                                        13213            5.40
Muscogee.......................................  GA                                        13215            5.80
Newton.........................................  GA                                        13217            5.80
Oconee.........................................  GA                                        13219            5.80
Oglethorpe.....................................  GA                                        13221            5.80
Paulding.......................................  GA                                        13223            5.60
Peach..........................................  GA                                        13225            5.80

[[Page 57647]]

 
Pickens........................................  GA                                        13227            5.60
Pierce.........................................  GA                                        13229            6.00
Pike...........................................  GA                                        13231            5.80
Polk...........................................  GA                                        13233            5.60
Pulaski........................................  GA                                        13235            5.80
Putnam.........................................  GA                                        13237            5.80
Quitman........................................  GA                                        13239            5.80
Rabun..........................................  GA                                        13241            5.60
Randolph.......................................  GA                                        13243            5.80
Richmond.......................................  GA                                        13245            6.00
Rockdale.......................................  GA                                        13247            5.80
Schley.........................................  GA                                        13249            5.80
Screven........................................  GA                                        13251            6.00
Seminole.......................................  GA                                        13253            6.00
Spalding.......................................  GA                                        13255            5.80
Stephens.......................................  GA                                        13257            5.60
Stewart........................................  GA                                        13259            5.80
Sumter.........................................  GA                                        13261            5.80
Talbot.........................................  GA                                        13263            5.80
Taliaferro.....................................  GA                                        13265            5.80
Tattnall.......................................  GA                                        13267            6.00
Taylor.........................................  GA                                        13269            5.80
Telfair........................................  GA                                        13271            6.00
Terrell........................................  GA                                        13273            5.80
Thomas.........................................  GA                                        13275            6.00
Tift...........................................  GA                                        13277            5.80
Toombs.........................................  GA                                        13279            6.00
Towns..........................................  GA                                        13281            5.60
Treutlen.......................................  GA                                        13283            6.00
Troup..........................................  GA                                        13285            5.60
Turner.........................................  GA                                        13287            5.80
Twiggs.........................................  GA                                        13289            5.80
Union..........................................  GA                                        13291            5.60
Upson..........................................  GA                                        13293            5.80
Walker.........................................  GA                                        13295            5.40
Walton.........................................  GA                                        13297            5.80
Ware...........................................  GA                                        13299            6.00
Warren.........................................  GA                                        13301            5.80
Washington.....................................  GA                                        13303            5.80
Wayne..........................................  GA                                        13305            6.00
Webster........................................  GA                                        13307            5.80
Wheeler........................................  GA                                        13309            6.00
White..........................................  GA                                        13311            5.60
Whitfield......................................  GA                                        13313            5.40
Wilcox.........................................  GA                                        13315            5.80
Wilkes.........................................  GA                                        13317            5.80
Wilkinson......................................  GA                                        13319            5.80
Worth..........................................  GA                                        13321            5.80
Adair..........................................  IA                                        19001            2.70
Adams..........................................  IA                                        19003            2.90
Allamakee......................................  IA                                        19005            2.90
Appanoose......................................  IA                                        19007            2.90
Audubon........................................  IA                                        19009            2.70
Benton.........................................  IA                                        19011            2.90
Black Hawk.....................................  IA                                        19013            2.90
Boone..........................................  IA                                        19015            2.70
Bremer.........................................  IA                                        19017            2.90
Buchanan.......................................  IA                                        19019            2.90
Buena Vista....................................  IA                                        19021            2.60
Butler.........................................  IA                                        19023            2.90
Calhoun........................................  IA                                        19025            2.70
Carroll........................................  IA                                        19027            2.70
Cass...........................................  IA                                        19029            2.70
Cedar..........................................  IA                                        19031            3.10
Cerro Gordo....................................  IA                                        19033            2.90
Cherokee.......................................  IA                                        19035            2.60
Chickasaw......................................  IA                                        19037            2.90
Clarke.........................................  IA                                        19039            2.90
Clay...........................................  IA                                        19041            2.60
Clayton........................................  IA                                        19043            2.90
Clinton........................................  IA                                        19045            3.10

[[Page 57648]]

 
Crawford.......................................  IA                                        19047            2.60
Dallas.........................................  IA                                        19049            2.70
Davis..........................................  IA                                        19051            2.90
Decatur........................................  IA                                        19053            2.90
Delaware.......................................  IA                                        19055            2.90
Des Moines.....................................  IA                                        19057            3.10
Dickinson......................................  IA                                        19059            2.70
Dubuque........................................  IA                                        19061            3.10
Emmet..........................................  IA                                        19063            2.70
Fayette........................................  IA                                        19065            2.90
Floyd..........................................  IA                                        19067            2.90
Franklin.......................................  IA                                        19069            2.70
Fremont........................................  IA                                        19071            2.70
Greene.........................................  IA                                        19073            2.70
Grundy.........................................  IA                                        19075            2.90
Guthrie........................................  IA                                        19077            2.70
Hamilton.......................................  IA                                        19079            2.70
Hancock........................................  IA                                        19081            2.70
Hardin.........................................  IA                                        19083            2.70
Harrison.......................................  IA                                        19085            2.60
Henry..........................................  IA                                        19087            2.90
Howard.........................................  IA                                        19089            2.80
Humboldt.......................................  IA                                        19091            2.70
Ida............................................  IA                                        19093            2.60
Iowa...........................................  IA                                        19095            2.90
Jackson........................................  IA                                        19097            3.10
Jasper.........................................  IA                                        19099            2.90
Jefferson......................................  IA                                        19101            2.90
Johnson........................................  IA                                        19103            2.90
Jones..........................................  IA                                        19105            3.10
Keokuk.........................................  IA                                        19107            2.90
Kossuth........................................  IA                                        19109            2.70
Lee............................................  IA                                        19111            3.10
Linn...........................................  IA                                        19113            2.90
Louisa.........................................  IA                                        19115            3.10
Lucas..........................................  IA                                        19117            2.90
Lyon...........................................  IA                                        19119            2.60
Madison........................................  IA                                        19121            2.70
Mahaska........................................  IA                                        19123            2.90
Marion.........................................  IA                                        19125            2.90
Marshall.......................................  IA                                        19127            2.90
Mills..........................................  IA                                        19129            2.70
Mitchell.......................................  IA                                        19131            2.80
Monona.........................................  IA                                        19133            2.60
Monroe.........................................  IA                                        19135            2.90
Montgomery.....................................  IA                                        19137            2.70
Muscatine......................................  IA                                        19139            3.10
O'Brien........................................  IA                                        19141            2.60
Osceola........................................  IA                                        19143            2.70
Page...........................................  IA                                        19145            2.90
Palo Alto......................................  IA                                        19147            2.70
Plymouth.......................................  IA                                        19149            2.60
Pocahontas.....................................  IA                                        19151            2.70
Polk...........................................  IA                                        19153            2.70
Pottawattamie..................................  IA                                        19155            2.70
Poweshiek......................................  IA                                        19157            2.90
Ringgold.......................................  IA                                        19159            2.90
Sac............................................  IA                                        19161            2.60
Scott..........................................  IA                                        19163            3.10
Shelby.........................................  IA                                        19165            2.60
Sioux..........................................  IA                                        19167            2.60
Story..........................................  IA                                        19169            2.70
Tama...........................................  IA                                        19171            2.90
Taylor.........................................  IA                                        19173            2.90
Union..........................................  IA                                        19175            2.90
Van Buren......................................  IA                                        19177            2.90
Wapello........................................  IA                                        19179            2.90
Warren.........................................  IA                                        19181            2.70
Washington.....................................  IA                                        19183            2.90
Wayne..........................................  IA                                        19185            2.90
Webster........................................  IA                                        19187            2.70

[[Page 57649]]

 
Winnebago......................................  IA                                        19189            2.70
Winneshiek.....................................  IA                                        19191            2.80
Woodbury.......................................  IA                                        19193            2.60
Worth..........................................  IA                                        19195            2.80
Wright.........................................  IA                                        19197            2.70
Ada............................................  ID                                        16001            1.70
Adams..........................................  ID                                        16003            2.00
Bannock........................................  ID                                        16005            2.00
Bear Lake......................................  ID                                        16007            2.20
Benewah........................................  ID                                        16009            2.40
Bingham........................................  ID                                        16011            2.00
Blaine.........................................  ID                                        16013            1.80
Boise..........................................  ID                                        16015            1.70
Bonner.........................................  ID                                        16017            2.40
Bonneville.....................................  ID                                        16019            2.00
Boundary.......................................  ID                                        16021            2.40
Butte..........................................  ID                                        16023            2.00
Camas..........................................  ID                                        16025            1.80
Canyon.........................................  ID                                        16027            1.70
Caribou........................................  ID                                        16029            2.00
Cassia.........................................  ID                                        16031            1.70
Clark..........................................  ID                                        16033            2.00
Clearwater.....................................  ID                                        16035            2.00
Custer.........................................  ID                                        16037            1.80
Elmore.........................................  ID                                        16039            1.70
Franklin.......................................  ID                                        16041            2.00
Fremont........................................  ID                                        16043            2.00
Gem............................................  ID                                        16045            1.70
Gooding........................................  ID                                        16047            1.70
Idaho..........................................  ID                                        16049            2.00
Jefferson......................................  ID                                        16051            2.00
Jerome.........................................  ID                                        16053            1.70
Kootenai.......................................  ID                                        16055            2.40
Latah..........................................  ID                                        16057            2.20
Lemhi..........................................  ID                                        16059            1.80
Lewis..........................................  ID                                        16061            2.00
Lincoln........................................  ID                                        16063            1.70
Madison........................................  ID                                        16065            2.00
Minidoka.......................................  ID                                        16067            1.70
Nez Perce......................................  ID                                        16069            2.00
Oneida.........................................  ID                                        16071            2.00
Owyhee.........................................  ID                                        16073            1.80
Payette........................................  ID                                        16075            1.70
Power..........................................  ID                                        16077            2.00
Shoshone.......................................  ID                                        16079            2.20
Teton..........................................  ID                                        16081            2.00
Twin Falls.....................................  ID                                        16083            1.70
Valley.........................................  ID                                        16085            1.80
Washington.....................................  ID                                        16087            1.70
Adams..........................................  IL                                        17001            3.20
Alexander......................................  IL                                        17003            4.00
Bond...........................................  IL                                        17005            3.60
Boone..........................................  IL                                        17007            3.10
Brown..........................................  IL                                        17009            3.40
Bureau.........................................  IL                                        17011            3.40
Calhoun........................................  IL                                        17013            3.60
Carroll........................................  IL                                        17015            3.20
Cass...........................................  IL                                        17017            3.40
Champaign......................................  IL                                        17019            3.60
Christian......................................  IL                                        17021            3.60
Clark..........................................  IL                                        17023            3.60
Clay...........................................  IL                                        17025            3.60
Clinton........................................  IL                                        17027            3.60
Coles..........................................  IL                                        17029            3.60
Cook...........................................  IL                                        17031            3.20
Crawford.......................................  IL                                        17033            3.60
Cumberland.....................................  IL                                        17035            3.60
De Witt........................................  IL                                        17039            3.40
DeKalb.........................................  IL                                        17037            3.20
Douglas........................................  IL                                        17041            3.60
DuPage.........................................  IL                                        17043            3.20

[[Page 57650]]

 
Edgar..........................................  IL                                        17045            3.60
Edwards........................................  IL                                        17047            3.60
Effingham......................................  IL                                        17049            3.60
Fayette........................................  IL                                        17051            3.60
Ford...........................................  IL                                        17053            3.60
Franklin.......................................  IL                                        17055            3.60
Fulton.........................................  IL                                        17057            3.40
Gallatin.......................................  IL                                        17059            4.00
Greene.........................................  IL                                        17061            3.60
Grundy.........................................  IL                                        17063            3.40
Hamilton.......................................  IL                                        17065            3.60
Hancock........................................  IL                                        17067            3.20
Hardin.........................................  IL                                        17069            4.00
Henderson......................................  IL                                        17071            3.20
Henry..........................................  IL                                        17073            3.20
Iroquois.......................................  IL                                        17075            3.60
Jackson........................................  IL                                        17077            3.60
Jasper.........................................  IL                                        17079            3.60
Jefferson......................................  IL                                        17081            3.60
Jersey.........................................  IL                                        17083            3.60
Jo Daviess.....................................  IL                                        17085            3.10
Johnson........................................  IL                                        17087            4.00
Kane...........................................  IL                                        17089            3.20
Kankakee.......................................  IL                                        17091            3.40
Kendall........................................  IL                                        17093            3.20
Knox...........................................  IL                                        17095            3.40
La Salle.......................................  IL                                        17099            3.40
Lake...........................................  IL                                        17097            3.10
Lawrence.......................................  IL                                        17101            3.60
Lee............................................  IL                                        17103            3.20
Livingston.....................................  IL                                        17105            3.40
Logan..........................................  IL                                        17107            3.40
Macon..........................................  IL                                        17115            3.40
Macoupin.......................................  IL                                        17117            3.60
Madison........................................  IL                                        17119            3.60
Marion.........................................  IL                                        17121            3.60
Marshall.......................................  IL                                        17123            3.40
Mason..........................................  IL                                        17125            3.40
Massac.........................................  IL                                        17127            4.00
McDonough......................................  IL                                        17109            3.40
McHenry........................................  IL                                        17111            3.10
McLean.........................................  IL                                        17113            3.40
Menard.........................................  IL                                        17129            3.40
Mercer.........................................  IL                                        17131            3.20
Monroe.........................................  IL                                        17133            3.60
Montgomery.....................................  IL                                        17135            3.60
Morgan.........................................  IL                                        17137            3.40
Moultrie.......................................  IL                                        17139            3.60
Ogle...........................................  IL                                        17141            3.20
Peoria.........................................  IL                                        17143            3.40
Perry..........................................  IL                                        17145            3.60
Piatt..........................................  IL                                        17147            3.40
Pike...........................................  IL                                        17149            3.40
Pope...........................................  IL                                        17151            4.00
Pulaski........................................  IL                                        17153            4.00
Putnam.........................................  IL                                        17155            3.40
Randolph.......................................  IL                                        17157            3.60
Richland.......................................  IL                                        17159            3.60
Rock Island....................................  IL                                        17161            3.20
Saline.........................................  IL                                        17165            4.00
Sangamon.......................................  IL                                        17167            3.40
Schuyler.......................................  IL                                        17169            3.40
Scott..........................................  IL                                        17171            3.40
Shelby.........................................  IL                                        17173            3.60
St. Clair......................................  IL                                        17163            3.60
Stark..........................................  IL                                        17175            3.40
Stephenson.....................................  IL                                        17177            3.10
Tazewell.......................................  IL                                        17179            3.40
Union..........................................  IL                                        17181            4.00
Vermilion......................................  IL                                        17183            3.60
Wabash.........................................  IL                                        17185            3.60

[[Page 57651]]

 
Warren.........................................  IL                                        17187            3.20
Washington.....................................  IL                                        17189            3.60
Wayne..........................................  IL                                        17191            3.60
White..........................................  IL                                        17193            3.60
Whiteside......................................  IL                                        17195            3.20
Will...........................................  IL                                        17197            3.20
Williamson.....................................  IL                                        17199            4.00
Winnebago......................................  IL                                        17201            3.10
Woodford.......................................  IL                                        17203            3.40
Adams..........................................  IN                                        18001            3.30
Allen..........................................  IN                                        18003            3.30
Bartholomew....................................  IN                                        18005            3.70
Benton.........................................  IN                                        18007            3.60
Blackford......................................  IN                                        18009            3.30
Boone..........................................  IN                                        18011            3.60
Brown..........................................  IN                                        18013            3.70
Carroll........................................  IN                                        18015            3.60
Cass...........................................  IN                                        18017            3.30
Clark..........................................  IN                                        18019            4.00
Clay...........................................  IN                                        18021            3.60
Clinton........................................  IN                                        18023            3.60
Crawford.......................................  IN                                        18025            4.00
Daviess........................................  IN                                        18027            3.70
Dearborn.......................................  IN                                        18029            3.70
Decatur........................................  IN                                        18031            3.70
DeKalb.........................................  IN                                        18033            3.30
Delaware.......................................  IN                                        18035            3.60
Dubois.........................................  IN                                        18037            3.70
Elkhart........................................  IN                                        18039            3.30
Fayette........................................  IN                                        18041            3.60
Floyd..........................................  IN                                        18043            4.00
Fountain.......................................  IN                                        18045            3.60
Franklin.......................................  IN                                        18047            3.70
Fulton.........................................  IN                                        18049            3.30
Gibson.........................................  IN                                        18051            3.70
Grant..........................................  IN                                        18053            3.30
Greene.........................................  IN                                        18055            3.70
Hamilton.......................................  IN                                        18057            3.60
Hancock........................................  IN                                        18059            3.60
Harrison.......................................  IN                                        18061            4.00
Hendricks......................................  IN                                        18063            3.60
Henry..........................................  IN                                        18065            3.60
Howard.........................................  IN                                        18067            3.60
Huntington.....................................  IN                                        18069            3.30
Jackson........................................  IN                                        18071            3.70
Jasper.........................................  IN                                        18073            3.60
Jay............................................  IN                                        18075            3.30
Jefferson......................................  IN                                        18077            4.00
Jennings.......................................  IN                                        18079            3.70
Johnson........................................  IN                                        18081            3.60
Knox...........................................  IN                                        18083            3.70
Kosciusko......................................  IN                                        18085            3.30
LaGrange.......................................  IN                                        18087            3.30
Lake...........................................  IN                                        18089            3.30
LaPorte........................................  IN                                        18091            3.30
Lawrence.......................................  IN                                        18093            3.70
Madison........................................  IN                                        18095            3.60
Marion.........................................  IN                                        18097            3.60
Marshall.......................................  IN                                        18099            3.30
Martin.........................................  IN                                        18101            3.70
Miami..........................................  IN                                        18103            3.30
Monroe.........................................  IN                                        18105            3.70
Montgomery.....................................  IN                                        18107            3.60
Morgan.........................................  IN                                        18109            3.60
Newton.........................................  IN                                        18111            3.60
Noble..........................................  IN                                        18113            3.30
Ohio...........................................  IN                                        18115            3.70
Orange.........................................  IN                                        18117            3.70
Owen...........................................  IN                                        18119            3.60
Parke..........................................  IN                                        18121            3.60
Perry..........................................  IN                                        18123            4.00

[[Page 57652]]

 
Pike...........................................  IN                                        18125            3.70
Porter.........................................  IN                                        18127            3.30
Posey..........................................  IN                                        18129            3.70
Pulaski........................................  IN                                        18131            3.30
Putnam.........................................  IN                                        18133            3.60
Randolph.......................................  IN                                        18135            3.60
Ripley.........................................  IN                                        18137            3.70
Rush...........................................  IN                                        18139            3.60
Scott..........................................  IN                                        18143            4.00
Shelby.........................................  IN                                        18145            3.60
Spencer........................................  IN                                        18147            4.00
St. Joseph.....................................  IN                                        18141            3.30
Starke.........................................  IN                                        18149            3.30
Steuben........................................  IN                                        18151            3.30
Sullivan.......................................  IN                                        18153            3.70
Switzerland....................................  IN                                        18155            4.00
Tippecanoe.....................................  IN                                        18157            3.60
Tipton.........................................  IN                                        18159            3.60
Union..........................................  IN                                        18161            3.60
Vanderburgh....................................  IN                                        18163            3.70
Vermillion.....................................  IN                                        18165            3.60
Vigo...........................................  IN                                        18167            3.60
Wabash.........................................  IN                                        18169            3.30
Warren.........................................  IN                                        18171            3.60
Warrick........................................  IN                                        18173            3.70
Washington.....................................  IN                                        18175            4.00
Wayne..........................................  IN                                        18177            3.60
Wells..........................................  IN                                        18179            3.30
White..........................................  IN                                        18181            3.60
Whitley........................................  IN                                        18183            3.30
Allen..........................................  KS                                        20001            2.90
Anderson.......................................  KS                                        20003            2.90
Atchison.......................................  KS                                        20005            2.90
Barber.........................................  KS                                        20007            2.60
Barton.........................................  KS                                        20009            2.60
Bourbon........................................  KS                                        20011            3.20
Brown..........................................  KS                                        20013            2.90
Butler.........................................  KS                                        20015            2.90
Chase..........................................  KS                                        20017            2.70
Chautauqua.....................................  KS                                        20019            2.90
Cherokee.......................................  KS                                        20021            3.20
Cheyenne.......................................  KS                                        20023            2.50
Clark..........................................  KS                                        20025            2.60
Clay...........................................  KS                                        20027            2.70
Cloud..........................................  KS                                        20029            2.70
Coffey.........................................  KS                                        20031            2.90
Comanche.......................................  KS                                        20033            2.60
Cowley.........................................  KS                                        20035            2.90
Crawford.......................................  KS                                        20037            3.20
Decatur........................................  KS                                        20039            2.50
Dickinson......................................  KS                                        20041            2.70
Doniphan.......................................  KS                                        20043            2.90
Douglas........................................  KS                                        20045            2.90
Edwards........................................  KS                                        20047            2.60
Elk............................................  KS                                        20049            2.90
Ellis..........................................  KS                                        20051            2.50
Ellsworth......................................  KS                                        20053            2.60
Finney.........................................  KS                                        20055            2.50
Ford...........................................  KS                                        20057            2.50
Franklin.......................................  KS                                        20059            2.90
Geary..........................................  KS                                        20061            2.70
Gove...........................................  KS                                        20063            2.50
Graham.........................................  KS                                        20065            2.50
Grant..........................................  KS                                        20067            2.50
Gray...........................................  KS                                        20069            2.50
Greeley........................................  KS                                        20071            2.50
Greenwood......................................  KS                                        20073            2.90
Hamilton.......................................  KS                                        20075            2.50
Harper.........................................  KS                                        20077            2.90
Harvey.........................................  KS                                        20079            2.90
Haskell........................................  KS                                        20081            2.50

[[Page 57653]]

 
Hodgeman.......................................  KS                                        20083            2.50
Jackson........................................  KS                                        20085            2.90
Jefferson......................................  KS                                        20087            2.90
Jewell.........................................  KS                                        20089            2.60
Johnson........................................  KS                                        20091            3.20
Kearny.........................................  KS                                        20093            2.50
Kingman........................................  KS                                        20095            2.90
Kiowa..........................................  KS                                        20097            2.60
Labette........................................  KS                                        20099            3.20
Lane...........................................  KS                                        20101            2.50
Leavenworth....................................  KS                                        20103            2.90
Lincoln........................................  KS                                        20105            2.60
Linn...........................................  KS                                        20107            3.20
Logan..........................................  KS                                        20109            2.50
Lyon...........................................  KS                                        20111            2.90
Marion.........................................  KS                                        20115            2.70
Marshall.......................................  KS                                        20117            2.70
McPherson......................................  KS                                        20113            2.70
Meade..........................................  KS                                        20119            2.50
Miami..........................................  KS                                        20121            3.20
Mitchell.......................................  KS                                        20123            2.60
Montgomery.....................................  KS                                        20125            3.20
Morris.........................................  KS                                        20127            2.70
Morton.........................................  KS                                        20129            2.50
Nemaha.........................................  KS                                        20131            2.70
Neosho.........................................  KS                                        20133            2.90
Ness...........................................  KS                                        20135            2.50
Norton.........................................  KS                                        20137            2.50
Osage..........................................  KS                                        20139            2.90
Osborne........................................  KS                                        20141            2.50
Ottawa.........................................  KS                                        20143            2.70
Pawnee.........................................  KS                                        20145            2.50
Phillips.......................................  KS                                        20147            2.50
Pottawatomie...................................  KS                                        20149            2.70
Pratt..........................................  KS                                        20151            2.60
Rawlins........................................  KS                                        20153            2.50
Reno...........................................  KS                                        20155            2.90
Republic.......................................  KS                                        20157            2.60
Rice...........................................  KS                                        20159            2.60
Riley..........................................  KS                                        20161            2.70
Rooks..........................................  KS                                        20163            2.50
Rush...........................................  KS                                        20165            2.50
Russell........................................  KS                                        20167            2.50
Saline.........................................  KS                                        20169            2.70
Scott..........................................  KS                                        20171            2.50
Sedgwick.......................................  KS                                        20173            2.90
Seward.........................................  KS                                        20175            2.50
Shawnee........................................  KS                                        20177            2.90
Sheridan.......................................  KS                                        20179            2.50
Sherman........................................  KS                                        20181            2.50
Smith..........................................  KS                                        20183            2.50
Stafford.......................................  KS                                        20185            2.60
Stanton........................................  KS                                        20187            2.50
Stevens........................................  KS                                        20189            2.50
Sumner.........................................  KS                                        20191            2.90
Thomas.........................................  KS                                        20193            2.50
Trego..........................................  KS                                        20195            2.50
Wabaunsee......................................  KS                                        20197            2.90
Wallace........................................  KS                                        20199            2.50
Washington.....................................  KS                                        20201            2.70
Wichita........................................  KS                                        20203            2.50
Wilson.........................................  KS                                        20205            2.90
Woodson........................................  KS                                        20207            2.90
Wyandotte......................................  KS                                        20209            3.20
Adair..........................................  KY                                        21001            4.20
Allen..........................................  KY                                        21003            4.20
Anderson.......................................  KY                                        21005            4.20
Ballard........................................  KY                                        21007            4.00
Barren.........................................  KY                                        21009            4.20
Bath...........................................  KY                                        21011            4.20
Bell...........................................  KY                                        21013            4.80

[[Page 57654]]

 
Boone..........................................  KY                                        21015            4.00
Bourbon........................................  KY                                        21017            4.20
Boyd...........................................  KY                                        21019            4.20
Boyle..........................................  KY                                        21021            4.20
Bracken........................................  KY                                        21023            4.00
Breathitt......................................  KY                                        21025            4.50
Breckinridge...................................  KY                                        21027            4.00
Bullitt........................................  KY                                        21029            4.00
Butler.........................................  KY                                        21031            4.20
Caldwell.......................................  KY                                        21033            4.00
Calloway.......................................  KY                                        21035            4.20
Campbell.......................................  KY                                        21037            4.00
Carlisle.......................................  KY                                        21039            4.00
Carroll........................................  KY                                        21041            4.00
Carter.........................................  KY                                        21043            4.20
Casey..........................................  KY                                        21045            4.20
Christian......................................  KY                                        21047            4.20
Clark..........................................  KY                                        21049            4.20
Clay...........................................  KY                                        21051            4.50
Clinton........................................  KY                                        21053            4.50
Crittenden.....................................  KY                                        21055            4.00
Cumberland.....................................  KY                                        21057            4.50
Daviess........................................  KY                                        21059            4.00
Edmonson.......................................  KY                                        21061            4.20
Elliott........................................  KY                                        21063            4.20
Estill.........................................  KY                                        21065            4.20
Fayette........................................  KY                                        21067            4.20
Fleming........................................  KY                                        21069            4.20
Floyd..........................................  KY                                        21071            4.50
Franklin.......................................  KY                                        21073            4.00
Fulton.........................................  KY                                        21075            4.00
Gallatin.......................................  KY                                        21077            4.00
Garrard........................................  KY                                        21079            4.20
Grant..........................................  KY                                        21081            4.00
Graves.........................................  KY                                        21083            4.20
Grayson........................................  KY                                        21085            4.00
Green..........................................  KY                                        21087            4.20
Greenup........................................  KY                                        21089            4.20
Hancock........................................  KY                                        21091            4.00
Hardin.........................................  KY                                        21093            4.20
Harlan.........................................  KY                                        21095            4.80
Harrison.......................................  KY                                        21097            4.20
Hart...........................................  KY                                        21099            4.20
Henderson......................................  KY                                        21101            4.00
Henry..........................................  KY                                        21103            4.00
Hickman........................................  KY                                        21105            4.00
Hopkins........................................  KY                                        21107            4.00
Jackson........................................  KY                                        21109            4.20
Jefferson......................................  KY                                        21111            4.00
Jessamine......................................  KY                                        21113            4.20
Johnson........................................  KY                                        21115            4.50
Kenton.........................................  KY                                        21117            4.00
Knott..........................................  KY                                        21119            4.50
Knox...........................................  KY                                        21121            4.50
Larue..........................................  KY                                        21123            4.20
Laurel.........................................  KY                                        21125            4.50
Lawrence.......................................  KY                                        21127            4.20
Lee............................................  KY                                        21129            4.20
Leslie.........................................  KY                                        21131            4.50
Letcher........................................  KY                                        21133            4.80
Lewis..........................................  KY                                        21135            4.20
Lincoln........................................  KY                                        21137            4.20
Livingston.....................................  KY                                        21139            4.00
Logan..........................................  KY                                        21141            4.20
Lyon...........................................  KY                                        21143            4.00
Madison........................................  KY                                        21151            4.20
Magoffin.......................................  KY                                        21153            4.50
Marion.........................................  KY                                        21155            4.20
Marshall.......................................  KY                                        21157            4.00
Martin.........................................  KY                                        21159            4.50
Mason..........................................  KY                                        21161            4.20

[[Page 57655]]

 
McCracken......................................  KY                                        21145            4.00
McCreary.......................................  KY                                        21147            4.50
McLean.........................................  KY                                        21149            4.00
Meade..........................................  KY                                        21163            4.00
Menifee........................................  KY                                        21165            4.20
Mercer.........................................  KY                                        21167            4.20
Metcalfe.......................................  KY                                        21169            4.20
Monroe.........................................  KY                                        21171            4.50
Montgomery.....................................  KY                                        21173            4.20
Morgan.........................................  KY                                        21175            4.20
Muhlenberg.....................................  KY                                        21177            4.00
Nelson.........................................  KY                                        21179            4.20
Nicholas.......................................  KY                                        21181            4.20
Ohio...........................................  KY                                        21183            4.00
Oldham.........................................  KY                                        21185            4.00
Owen...........................................  KY                                        21187            4.00
Owsley.........................................  KY                                        21189            4.50
Pendleton......................................  KY                                        21191            4.00
Perry..........................................  KY                                        21193            4.50
Pike...........................................  KY                                        21195            4.50
Powell.........................................  KY                                        21197            4.20
Pulaski........................................  KY                                        21199            4.50
Robertson......................................  KY                                        21201            4.20
Rockcastle.....................................  KY                                        21203            4.20
Rowan..........................................  KY                                        21205            4.20
Russell........................................  KY                                        21207            4.50
Scott..........................................  KY                                        21209            4.00
Shelby.........................................  KY                                        21211            4.00
Simpson........................................  KY                                        21213            4.20
Spencer........................................  KY                                        21215            4.00
Taylor.........................................  KY                                        21217            4.20
Todd...........................................  KY                                        21219            4.20
Trigg..........................................  KY                                        21221            4.20
Trimble........................................  KY                                        21223            4.00
Union..........................................  KY                                        21225            4.00
Warren.........................................  KY                                        21227            4.20
Washington.....................................  KY                                        21229            4.20
Wayne..........................................  KY                                        21231            4.50
Webster........................................  KY                                        21233            4.00
Whitley........................................  KY                                        21235            4.50
Wolfe..........................................  KY                                        21237            4.20
Woodford.......................................  KY                                        21239            4.20
Acadia Parish..................................  LA                                        22001            5.20
Allen Parish...................................  LA                                        22003            4.90
Ascension Parish...............................  LA                                        22005            5.20
Assumption Parish..............................  LA                                        22007            5.20
Avoyelles Parish...............................  LA                                        22009            5.20
Beauregard Parish..............................  LA                                        22011            4.90
Bienville Parish...............................  LA                                        22013            4.60
Bossier Parish.................................  LA                                        22015            4.30
Caddo Parish...................................  LA                                        22017            4.30
Calcasieu Parish...............................  LA                                        22019            4.90
Caldwell Parish................................  LA                                        22021            4.90
Cameron Parish.................................  LA                                        22023            4.90
Catahoula Parish...............................  LA                                        22025            5.20
Claiborne Parish...............................  LA                                        22027            4.30
Concordia Parish...............................  LA                                        22029            5.20
De Soto Parish.................................  LA                                        22031            4.30
East Baton Rouge Parish........................  LA                                        22033            5.20
East Carroll Parish............................  LA                                        22035            5.20
East Feliciana Parish..........................  LA                                        22037            5.20
Evangeline Parish..............................  LA                                        22039            4.90
Franklin Parish................................  LA                                        22041            4.90
Grant Parish...................................  LA                                        22043            4.90
Iberia Parish..................................  LA                                        22045            5.20
Iberville Parish...............................  LA                                        22047            5.20
Jackson Parish.................................  LA                                        22049            4.60
Jefferson Davis Parish.........................  LA                                        22053            4.90
Jefferson Parish...............................  LA                                        22051            5.60
La Salle Parish................................  LA                                        22059            4.90
Lafayette Parish...............................  LA                                        22055            5.20

[[Page 57656]]

 
Lafourche Parish...............................  LA                                        22057            5.60
Lincoln Parish.................................  LA                                        22061            4.60
Livingston Parish..............................  LA                                        22063            5.40
Madison Parish.................................  LA                                        22065            5.20
Morehouse Parish...............................  LA                                        22067            4.90
Natchitoches Parish............................  LA                                        22069            4.60
Orleans Parish.................................  LA                                        22071            5.60
Ouachita Parish................................  LA                                        22073            4.90
Plaquemines Parish.............................  LA                                        22075            5.60
Pointe Coupee Parish...........................  LA                                        22077            5.20
Rapides Parish.................................  LA                                        22079            4.90
Red River Parish...............................  LA                                        22081            4.60
Richland Parish................................  LA                                        22083            4.90
Sabine Parish..................................  LA                                        22085            4.60
St. Bernard Parish.............................  LA                                        22087            5.60
St. Charles Parish.............................  LA                                        22089            5.60
St. Helena Parish..............................  LA                                        22091            5.40
St. James Parish...............................  LA                                        22093            5.20
St. John the Baptist Parish....................  LA                                        22095            5.60
St. Landry Parish..............................  LA                                        22097            5.20
St. Martin Parish..............................  LA                                        22099            5.20
St. Mary Parish................................  LA                                        22101            5.20
St. Tammany Parish.............................  LA                                        22103            5.60
Tangipahoa Parish..............................  LA                                        22105            5.40
Tensas Parish..................................  LA                                        22107            5.20
Terrebonne Parish..............................  LA                                        22109            5.60
Union Parish...................................  LA                                        22111            4.60
Vermilion Parish...............................  LA                                        22113            5.20
Vernon Parish..................................  LA                                        22115            4.60
Washington Parish..............................  LA                                        22117            5.60
Webster Parish.................................  LA                                        22119            4.30
West Baton Rouge Parish........................  LA                                        22121            5.20
West Carroll Parish............................  LA                                        22123            4.90
West Feliciana Parish..........................  LA                                        22125            5.20
Winn Parish....................................  LA                                        22127            4.60
Barnstable.....................................  MA                                        25001            5.10
Berkshire......................................  MA                                        25003            4.50
Bristol........................................  MA                                        25005            5.10
Dukes..........................................  MA                                        25007            5.10
Essex..........................................  MA                                        25009            5.10
Franklin.......................................  MA                                        25011            4.70
Hampden........................................  MA                                        25013            4.70
Hampshire......................................  MA                                        25015            4.70
Middlesex......................................  MA                                        25017            5.10
Nantucket......................................  MA                                        25019            5.10
Norfolk........................................  MA                                        25021            5.10
Plymouth.......................................  MA                                        25023            5.10
Suffolk........................................  MA                                        25025            5.10
Worcester......................................  MA                                        25027            4.90
Allegany.......................................  MD                                        24001            4.10
Anne Arundel...................................  MD                                        24003            4.60
Baltimore......................................  MD                                        24005            4.40
Baltimore City.................................  MD                                        24510            4.60
Calvert........................................  MD                                        24009            4.80
Caroline.......................................  MD                                        24011            4.60
Carroll........................................  MD                                        24013            4.40
Cecil..........................................  MD                                        24015            4.40
Charles........................................  MD                                        24017            4.80
Dorchester.....................................  MD                                        24019            4.80
Frederick......................................  MD                                        24021            4.40
Garrett........................................  MD                                        24023            4.10
Harford........................................  MD                                        24025            4.40
Howard.........................................  MD                                        24027            4.60
Kent...........................................  MD                                        24029            4.60
Montgomery.....................................  MD                                        24031            4.60
Prince George's................................  MD                                        24033            4.60
Queen Anne's...................................  MD                                        24035            4.60
Somerset.......................................  MD                                        24039            4.80
St. Mary's.....................................  MD                                        24037            4.80
Talbot.........................................  MD                                        24041            4.60
Washington.....................................  MD                                        24043            4.20

[[Page 57657]]

 
Wicomico.......................................  MD                                        24045            4.80
Worcester......................................  MD                                        24047            4.80
Androscoggin...................................  ME                                        23001            4.20
Aroostook......................................  ME                                        23003            3.90
Cumberland.....................................  ME                                        23005            4.50
Franklin.......................................  ME                                        23007            4.20
Hancock........................................  ME                                        23009            3.90
Kennebec.......................................  ME                                        23011            4.20
Knox...........................................  ME                                        23013            4.20
Lincoln........................................  ME                                        23015            4.20
Oxford.........................................  ME                                        23017            4.20
Penobscot......................................  ME                                        23019            3.90
Piscataquis....................................  ME                                        23021            3.90
Sagadahoc......................................  ME                                        23023            4.20
Somerset.......................................  ME                                        23025            3.90
Waldo..........................................  ME                                        23027            3.90
Washington.....................................  ME                                        23029            3.90
York...........................................  ME                                        23031            4.50
Alcona.........................................  MI                                        26001            3.30
Alger..........................................  MI                                        26003            3.00
Allegan........................................  MI                                        26005            3.30
Alpena.........................................  MI                                        26007            3.30
Antrim.........................................  MI                                        26009            3.30
Arenac.........................................  MI                                        26011            3.30
Baraga.........................................  MI                                        26013            3.00
Barry..........................................  MI                                        26015            3.30
Bay............................................  MI                                        26017            3.30
Benzie.........................................  MI                                        26019            3.30
Berrien........................................  MI                                        26021            3.30
Branch.........................................  MI                                        26023            3.30
Calhoun........................................  MI                                        26025            3.30
Cass...........................................  MI                                        26027            3.30
Charlevoix.....................................  MI                                        26029            3.30
Cheboygan......................................  MI                                        26031            3.30
Chippewa.......................................  MI                                        26033            3.00
Clare..........................................  MI                                        26035            3.30
Clinton........................................  MI                                        26037            3.30
Crawford.......................................  MI                                        26039            3.30
Delta..........................................  MI                                        26041            2.80
Dickinson......................................  MI                                        26043            2.80
Eaton..........................................  MI                                        26045            3.30
Emmet..........................................  MI                                        26047            3.30
Genesee........................................  MI                                        26049            3.30
Gladwin........................................  MI                                        26051            3.30
Gogebic........................................  MI                                        26053            2.80
Grand Traverse.................................  MI                                        26055            3.30
Gratiot........................................  MI                                        26057            3.30
Hillsdale......................................  MI                                        26059            3.30
Houghton.......................................  MI                                        26061            3.00
Huron..........................................  MI                                        26063            3.30
Ingham.........................................  MI                                        26065            3.30
Ionia..........................................  MI                                        26067            3.30
Iosco..........................................  MI                                        26069            3.30
Iron...........................................  MI                                        26071            2.80
Isabella.......................................  MI                                        26073            3.30
Jackson........................................  MI                                        26075            3.30
Kalamazoo......................................  MI                                        26077            3.30
Kalkaska.......................................  MI                                        26079            3.30
Kent...........................................  MI                                        26081            3.30
Keweenaw.......................................  MI                                        26083            3.00
Lake...........................................  MI                                        26085            3.30
Lapeer.........................................  MI                                        26087            3.30
Leelanau.......................................  MI                                        26089            3.30
Lenawee........................................  MI                                        26091            3.30
Livingston.....................................  MI                                        26093            3.30
Luce...........................................  MI                                        26095            3.00
Mackinac.......................................  MI                                        26097            3.00
Macomb.........................................  MI                                        26099            3.30
Manistee.......................................  MI                                        26101            3.30
Marquette......................................  MI                                        26103            3.00
Mason..........................................  MI                                        26105            3.30

[[Page 57658]]

 
Mecosta........................................  MI                                        26107            3.30
Menominee......................................  MI                                        26109            2.80
Midland........................................  MI                                        26111            3.30
Missaukee......................................  MI                                        26113            3.30
Monroe.........................................  MI                                        26115            3.30
Montcalm.......................................  MI                                        26117            3.30
Montmorency....................................  MI                                        26119            3.30
Muskegon.......................................  MI                                        26121            3.30
Newaygo........................................  MI                                        26123            3.30
Oakland........................................  MI                                        26125            3.30
Oceana.........................................  MI                                        26127            3.30
Ogemaw.........................................  MI                                        26129            3.30
Ontonagon......................................  MI                                        26131            2.80
Osceola........................................  MI                                        26133            3.30
Oscoda.........................................  MI                                        26135            3.30
Otsego.........................................  MI                                        26137            3.30
Ottawa.........................................  MI                                        26139            3.30
Presque Isle...................................  MI                                        26141            3.30
Roscommon......................................  MI                                        26143            3.30
Saginaw........................................  MI                                        26145            3.30
Sanilac........................................  MI                                        26151            3.30
Schoolcraft....................................  MI                                        26153            3.00
Shiawassee.....................................  MI                                        26155            3.30
St. Clair......................................  MI                                        26147            3.30
St. Joseph.....................................  MI                                        26149            3.30
Tuscola........................................  MI                                        26157            3.30
Van Buren......................................  MI                                        26159            3.30
Washtenaw......................................  MI                                        26161            3.30
Wayne..........................................  MI                                        26163            3.30
Wexford........................................  MI                                        26165            3.30
Aitkin.........................................  MN                                        27001            2.80
Anoka..........................................  MN                                        27003            2.80
Becker.........................................  MN                                        27005            2.70
Beltrami.......................................  MN                                        27007            2.30
Benton.........................................  MN                                        27009            2.80
Big Stone......................................  MN                                        27011            2.70
Blue Earth.....................................  MN                                        27013            2.80
Brown..........................................  MN                                        27015            2.80
Carlton........................................  MN                                        27017            2.80
Carver.........................................  MN                                        27019            2.80
Cass...........................................  MN                                        27021            2.80
Chippewa.......................................  MN                                        27023            2.80
Chisago........................................  MN                                        27025            2.80
Clay...........................................  MN                                        27027            2.70
Clearwater.....................................  MN                                        27029            2.30
Cook...........................................  MN                                        27031            2.30
Cottonwood.....................................  MN                                        27033            2.80
Crow Wing......................................  MN                                        27035            2.80
Dakota.........................................  MN                                        27037            2.90
Dodge..........................................  MN                                        27039            2.80
Douglas........................................  MN                                        27041            2.80
Faribault......................................  MN                                        27043            2.80
Fillmore.......................................  MN                                        27045            2.80
Freeborn.......................................  MN                                        27047            2.80
Goodhue........................................  MN                                        27049            2.80
Grant..........................................  MN                                        27051            2.80
Hennepin.......................................  MN                                        27053            2.90
Houston........................................  MN                                        27055            2.80
Hubbard........................................  MN                                        27057            2.70
Isanti.........................................  MN                                        27059            2.80
Itasca.........................................  MN                                        27061            2.30
Jackson........................................  MN                                        27063            2.80
Kanabec........................................  MN                                        27065            2.80
Kandiyohi......................................  MN                                        27067            2.80
Kittson........................................  MN                                        27069            2.30
Koochiching....................................  MN                                        27071            2.30
Lac qui Parle..................................  MN                                        27073            2.70
Lake...........................................  MN                                        27075            2.30
Lake of the Woods..............................  MN                                        27077            2.30
Le Sueur.......................................  MN                                        27079            2.80
Lincoln........................................  MN                                        27081            2.60

[[Page 57659]]

 
Lyon...........................................  MN                                        27083            2.70
Mahnomen.......................................  MN                                        27087            2.60
Marshall.......................................  MN                                        27089            2.30
Martin.........................................  MN                                        27091            2.80
McLeod.........................................  MN                                        27085            2.80
Meeker.........................................  MN                                        27093            2.80
Mille Lacs.....................................  MN                                        27095            2.80
Morrison.......................................  MN                                        27097            2.80
Mower..........................................  MN                                        27099            2.80
Murray.........................................  MN                                        27101            2.70
Nicollet.......................................  MN                                        27103            2.80
Nobles.........................................  MN                                        27105            2.70
Norman.........................................  MN                                        27107            2.60
Olmsted........................................  MN                                        27109            2.80
Otter Tail.....................................  MN                                        27111            2.80
Pennington.....................................  MN                                        27113            2.30
Pine...........................................  MN                                        27115            2.80
Pipestone......................................  MN                                        27117            2.60
Polk...........................................  MN                                        27119            2.30
Pope...........................................  MN                                        27121            2.80
Ramsey.........................................  MN                                        27123            2.90
Red Lake.......................................  MN                                        27125            2.30
Redwood........................................  MN                                        27127            2.80
Renville.......................................  MN                                        27129            2.80
Rice...........................................  MN                                        27131            2.80
Rock...........................................  MN                                        27133            2.60
Roseau.........................................  MN                                        27135            2.30
Scott..........................................  MN                                        27139            2.90
Sherburne......................................  MN                                        27141            2.80
Sibley.........................................  MN                                        27143            2.80
St. Louis......................................  MN                                        27137            2.30
Stearns........................................  MN                                        27145            2.80
Steele.........................................  MN                                        27147            2.80
Stevens........................................  MN                                        27149            2.80
Swift..........................................  MN                                        27151            2.80
Todd...........................................  MN                                        27153            2.80
Traverse.......................................  MN                                        27155            2.70
Wabasha........................................  MN                                        27157            2.80
Wadena.........................................  MN                                        27159            2.80
Waseca.........................................  MN                                        27161            2.80
Washington.....................................  MN                                        27163            2.90
Watonwan.......................................  MN                                        27165            2.80
Wilkin.........................................  MN                                        27167            2.70
Winona.........................................  MN                                        27169            2.80
Wright.........................................  MN                                        27171            2.80
Yellow Medicine................................  MN                                        27173            2.70
Adair..........................................  MO                                        29001            3.20
Andrew.........................................  MO                                        29003            2.90
Atchison.......................................  MO                                        29005            2.70
Audrain........................................  MO                                        29007            3.40
Barry..........................................  MO                                        29009            3.20
Barton.........................................  MO                                        29011            3.20
Bates..........................................  MO                                        29013            3.20
Benton.........................................  MO                                        29015            3.20
Bollinger......................................  MO                                        29017            3.60
Boone..........................................  MO                                        29019            3.40
Buchanan.......................................  MO                                        29021            3.20
Butler.........................................  MO                                        29023            4.00
Caldwell.......................................  MO                                        29025            3.20
Callaway.......................................  MO                                        29027            3.40
Camden.........................................  MO                                        29029            3.40
Cape Girardeau.................................  MO                                        29031            3.60
Carroll........................................  MO                                        29033            3.20
Carter.........................................  MO                                        29035            4.00
Cass...........................................  MO                                        29037            3.20
Cedar..........................................  MO                                        29039            3.20
Chariton.......................................  MO                                        29041            3.20
Christian......................................  MO                                        29043            3.30
Clark..........................................  MO                                        29045            3.20
Clay...........................................  MO                                        29047            3.20
Clinton........................................  MO                                        29049            3.20

[[Page 57660]]

 
Cole...........................................  MO                                        29051            3.40
Cooper.........................................  MO                                        29053            3.40
Crawford.......................................  MO                                        29055            3.60
Dade...........................................  MO                                        29057            3.20
Dallas.........................................  MO                                        29059            3.30
Daviess........................................  MO                                        29061            3.20
DeKalb.........................................  MO                                        29063            3.20
Dent...........................................  MO                                        29065            3.60
Douglas........................................  MO                                        29067            3.30
Dunklin........................................  MO                                        29069            4.30
Franklin.......................................  MO                                        29071            3.60
Gasconade......................................  MO                                        29073            3.60
Gentry.........................................  MO                                        29075            2.90
Greene.........................................  MO                                        29077            3.20
Grundy.........................................  MO                                        29079            3.20
Harrison.......................................  MO                                        29081            2.90
Henry..........................................  MO                                        29083            3.20
Hickory........................................  MO                                        29085            3.20
Holt...........................................  MO                                        29087            2.90
Howard.........................................  MO                                        29089            3.40
Howell.........................................  MO                                        29091            3.60
Iron...........................................  MO                                        29093            3.60
Jackson........................................  MO                                        29095            3.20
Jasper.........................................  MO                                        29097            3.20
Jefferson......................................  MO                                        29099            3.60
Johnson........................................  MO                                        29101            3.20
Knox...........................................  MO                                        29103            3.20
Laclede........................................  MO                                        29105            3.30
Lafayette......................................  MO                                        29107            3.20
Lawrence.......................................  MO                                        29109            3.20
Lewis..........................................  MO                                        29111            3.20
Lincoln........................................  MO                                        29113            3.60
Linn...........................................  MO                                        29115            3.20
Livingston.....................................  MO                                        29117            3.20
Macon..........................................  MO                                        29121            3.20
Madison........................................  MO                                        29123            3.60
Maries.........................................  MO                                        29125            3.60
Marion.........................................  MO                                        29127            3.20
McDonald.......................................  MO                                        29119            3.20
Mercer.........................................  MO                                        29129            2.90
Miller.........................................  MO                                        29131            3.40
Mississippi....................................  MO                                        29133            4.00
Moniteau.......................................  MO                                        29135            3.40
Monroe.........................................  MO                                        29137            3.40
Montgomery.....................................  MO                                        29139            3.40
Morgan.........................................  MO                                        29141            3.40
New Madrid.....................................  MO                                        29143            4.00
Newton.........................................  MO                                        29145            3.20
Nodaway........................................  MO                                        29147            2.90
Oregon.........................................  MO                                        29149            4.00
Osage..........................................  MO                                        29151            3.60
Ozark..........................................  MO                                        29153            3.60
Pemiscot.......................................  MO                                        29155            4.30
Perry..........................................  MO                                        29157            3.60
Pettis.........................................  MO                                        29159            3.40
Phelps.........................................  MO                                        29161            3.60
Pike...........................................  MO                                        29163            3.40
Platte.........................................  MO                                        29165            3.20
Polk...........................................  MO                                        29167            3.20
Pulaski........................................  MO                                        29169            3.40
Putnam.........................................  MO                                        29171            2.90
Ralls..........................................  MO                                        29173            3.40
Randolph.......................................  MO                                        29175            3.40
Ray............................................  MO                                        29177            3.20
Reynolds.......................................  MO                                        29179            3.60
Ripley.........................................  MO                                        29181            4.00
Saline.........................................  MO                                        29195            3.40
Schuyler.......................................  MO                                        29197            3.20
Scotland.......................................  MO                                        29199            3.20
Scott..........................................  MO                                        29201            4.00
Shannon........................................  MO                                        29203            3.60

[[Page 57661]]

 
Shelby.........................................  MO                                        29205            3.20
St. Charles....................................  MO                                        29183            3.60
St. Clair......................................  MO                                        29185            3.20
St. Francois...................................  MO                                        29187            3.60
St. Louis......................................  MO                                        29189            3.60
St. Louis City.................................  MO                                        29510            3.60
Ste. Genevieve.................................  MO                                        29186            3.60
Stoddard.......................................  MO                                        29207            4.00
Stone..........................................  MO                                        29209            3.30
Sullivan.......................................  MO                                        29211            3.20
Taney..........................................  MO                                        29213            3.30
Texas..........................................  MO                                        29215            3.60
Vernon.........................................  MO                                        29217            3.20
Warren.........................................  MO                                        29219            3.60
Washington.....................................  MO                                        29221            3.60
Wayne..........................................  MO                                        29223            4.00
Webster........................................  MO                                        29225            3.20
Worth..........................................  MO                                        29227            2.90
Wright.........................................  MO                                        29229            3.30
Adams..........................................  MS                                        28001            5.20
Alcorn.........................................  MS                                        28003            4.90
Amite..........................................  MS                                        28005            5.40
Attala.........................................  MS                                        28007            5.20
Benton.........................................  MS                                        28009            4.90
Bolivar........................................  MS                                        28011            4.90
Calhoun........................................  MS                                        28013            5.20
Carroll........................................  MS                                        28015            5.20
Chickasaw......................................  MS                                        28017            5.20
Choctaw........................................  MS                                        28019            5.20
Claiborne......................................  MS                                        28021            5.20
Clarke.........................................  MS                                        28023            5.60
Clay...........................................  MS                                        28025            5.20
Coahoma........................................  MS                                        28027            4.90
Copiah.........................................  MS                                        28029            5.40
Covington......................................  MS                                        28031            5.60
DeSoto.........................................  MS                                        28033            4.60
Forrest........................................  MS                                        28035            5.80
Franklin.......................................  MS                                        28037            5.20
George.........................................  MS                                        28039            5.80
Greene.........................................  MS                                        28041            5.80
Grenada........................................  MS                                        28043            5.20
Hancock........................................  MS                                        28045            5.80
Harrison.......................................  MS                                        28047            5.80
Hinds..........................................  MS                                        28049            5.40
Holmes.........................................  MS                                        28051            5.20
Humphreys......................................  MS                                        28053            5.20
Issaquena......................................  MS                                        28055            5.20
Itawamba.......................................  MS                                        28057            5.20
Jackson........................................  MS                                        28059            5.80
Jasper.........................................  MS                                        28061            5.60
Jefferson......................................  MS                                        28063            5.20
Jefferson Davis................................  MS                                        28065            5.60
Jones..........................................  MS                                        28067            5.60
Kemper.........................................  MS                                        28069            5.40
Lafayette......................................  MS                                        28071            4.90
Lamar..........................................  MS                                        28073            5.80
Lauderdale.....................................  MS                                        28075            5.60
Lawrence.......................................  MS                                        28077            5.60
Leake..........................................  MS                                        28079            5.40
Lee............................................  MS                                        28081            5.20
Leflore........................................  MS                                        28083            5.20
Lincoln........................................  MS                                        28085            5.40
Lowndes........................................  MS                                        28087            5.20
Madison........................................  MS                                        28089            5.40
Marion.........................................  MS                                        28091            5.60
Marshall.......................................  MS                                        28093            4.90
Monroe.........................................  MS                                        28095            5.20
Montgomery.....................................  MS                                        28097            5.20
Neshoba........................................  MS                                        28099            5.40
Newton.........................................  MS                                        28101            5.60
Noxubee........................................  MS                                        28103            5.40

[[Page 57662]]

 
Oktibbeha......................................  MS                                        28105            5.20
Panola.........................................  MS                                        28107            4.90
Pearl River....................................  MS                                        28109            5.80
Perry..........................................  MS                                        28111            5.80
Pike...........................................  MS                                        28113            5.40
Pontotoc.......................................  MS                                        28115            4.90
Prentiss.......................................  MS                                        28117            4.90
Quitman........................................  MS                                        28119            4.90
Rankin.........................................  MS                                        28121            5.40
Scott..........................................  MS                                        28123            5.40
Sharkey........................................  MS                                        28125            5.20
Simpson........................................  MS                                        28127            5.60
Smith..........................................  MS                                        28129            5.60
Stone..........................................  MS                                        28131            5.80
Sunflower......................................  MS                                        28133            4.90
Tallahatchie...................................  MS                                        28135            4.90
Tate...........................................  MS                                        28137            4.90
Tippah.........................................  MS                                        28139            4.90
Tishomingo.....................................  MS                                        28141            4.90
Tunica.........................................  MS                                        28143            4.60
Union..........................................  MS                                        28145            4.90
Walthall.......................................  MS                                        28147            5.60
Warren.........................................  MS                                        28149            5.20
Washington.....................................  MS                                        28151            4.90
Wayne..........................................  MS                                        28153            5.80
Webster........................................  MS                                        28155            5.20
Wilkinson......................................  MS                                        28157            5.20
Winston........................................  MS                                        28159            5.40
Yalobusha......................................  MS                                        28161            4.90
Yazoo..........................................  MS                                        28163            5.20
Beaverhead.....................................  MT                                        30001            1.80
Big Horn.......................................  MT                                        30003            2.40
Blaine.........................................  MT                                        30005            2.00
Broadwater.....................................  MT                                        30007            1.80
Carbon.........................................  MT                                        30009            2.40
Carter.........................................  MT                                        30011            2.40
Cascade........................................  MT                                        30013            1.80
Chouteau.......................................  MT                                        30015            1.80
Custer.........................................  MT                                        30017            2.40
Daniels........................................  MT                                        30019            2.30
Dawson.........................................  MT                                        30021            2.40
Deer Lodge.....................................  MT                                        30023            1.80
Fallon.........................................  MT                                        30025            2.40
Fergus.........................................  MT                                        30027            2.00
Flathead.......................................  MT                                        30029            2.00
Gallatin.......................................  MT                                        30031            2.00
Garfield.......................................  MT                                        30033            2.40
Glacier........................................  MT                                        30035            1.80
Golden Valley..................................  MT                                        30037            2.00
Granite........................................  MT                                        30039            1.80
Hill...........................................  MT                                        30041            1.80
Jefferson......................................  MT                                        30043            1.80
Judith Basin...................................  MT                                        30045            2.00
Lake...........................................  MT                                        30047            2.00
Lewis and Clark................................  MT                                        30049            1.70
Liberty........................................  MT                                        30051            1.80
Lincoln........................................  MT                                        30053            2.00
Madison........................................  MT                                        30057            1.80
McCone.........................................  MT                                        30055            2.40
Meagher........................................  MT                                        30059            1.80
Mineral........................................  MT                                        30061            2.00
Missoula.......................................  MT                                        30063            1.80
Musselshell....................................  MT                                        30065            2.40
Park...........................................  MT                                        30067            2.00
Petroleum......................................  MT                                        30069            2.40
Phillips.......................................  MT                                        30071            2.30
Pondera........................................  MT                                        30073            1.70
Powder River...................................  MT                                        30075            2.40
Powell.........................................  MT                                        30077            1.80
Prairie........................................  MT                                        30079            2.40
Ravalli........................................  MT                                        30081            1.80

[[Page 57663]]

 
Richland.......................................  MT                                        30083            2.40
Roosevelt......................................  MT                                        30085            2.30
Rosebud........................................  MT                                        30087            2.40
Sanders........................................  MT                                        30089            2.00
Sheridan.......................................  MT                                        30091            2.30
Silver Bow.....................................  MT                                        30093            1.80
Stillwater.....................................  MT                                        30095            2.40
Sweet Grass....................................  MT                                        30097            2.00
Teton..........................................  MT                                        30099            1.70
Toole..........................................  MT                                        30101            1.80
Treasure.......................................  MT                                        30103            2.40
Valley.........................................  MT                                        30105            2.30
Wheatland......................................  MT                                        30107            2.00
Wibaux.........................................  MT                                        30109            2.40
Yellowstone....................................  MT                                        30111            2.40
Alamance.......................................  NC                                        37001            5.40
Alexander......................................  NC                                        37003            5.60
Alleghany......................................  NC                                        37005            5.40
Anson..........................................  NC                                        37007            5.80
Ashe...........................................  NC                                        37009            5.40
Avery..........................................  NC                                        37011            5.40
Beaufort.......................................  NC                                        37013            5.80
Bertie.........................................  NC                                        37015            5.60
Bladen.........................................  NC                                        37017            5.80
Brunswick......................................  NC                                        37019            6.00
Buncombe.......................................  NC                                        37021            5.40
Burke..........................................  NC                                        37023            5.60
Cabarrus.......................................  NC                                        37025            5.60
Caldwell.......................................  NC                                        37027            5.60
Camden.........................................  NC                                        37029            5.60
Carteret.......................................  NC                                        37031            6.00
Caswell........................................  NC                                        37033            5.40
Catawba........................................  NC                                        37035            5.60
Chatham........................................  NC                                        37037            5.60
Cherokee.......................................  NC                                        37039            5.40
Chowan.........................................  NC                                        37041            5.60
Clay...........................................  NC                                        37043            5.60
Cleveland......................................  NC                                        37045            5.60
Columbus.......................................  NC                                        37047            6.00
Craven.........................................  NC                                        37049            6.00
Cumberland.....................................  NC                                        37051            5.80
Currituck......................................  NC                                        37053            5.60
Dare...........................................  NC                                        37055            5.80
Davidson.......................................  NC                                        37057            5.60
Davie..........................................  NC                                        37059            5.60
Duplin.........................................  NC                                        37061            5.80
Durham.........................................  NC                                        37063            5.40
Edgecombe......................................  NC                                        37065            5.60
Forsyth........................................  NC                                        37067            5.40
Franklin.......................................  NC                                        37069            5.60
Gaston.........................................  NC                                        37071            5.60
Gates..........................................  NC                                        37073            5.60
Graham.........................................  NC                                        37075            5.40
Granville......................................  NC                                        37077            5.40
Greene.........................................  NC                                        37079            5.80
Guilford.......................................  NC                                        37081            5.40
Halifax........................................  NC                                        37083            5.60
Harnett........................................  NC                                        37085            5.80
Haywood........................................  NC                                        37087            5.40
Henderson......................................  NC                                        37089            5.60
Hertford.......................................  NC                                        37091            5.60
Hoke...........................................  NC                                        37093            5.80
Hyde...........................................  NC                                        37095            5.80
Iredell........................................  NC                                        37097            5.60
Jackson........................................  NC                                        37099            5.60
Johnston.......................................  NC                                        37101            5.80
Jones..........................................  NC                                        37103            6.00
Lee............................................  NC                                        37105            5.60
Lenoir.........................................  NC                                        37107            5.80
Lincoln........................................  NC                                        37109            5.60
Macon..........................................  NC                                        37113            5.60

[[Page 57664]]

 
Madison........................................  NC                                        37115            5.40
Martin.........................................  NC                                        37117            5.80
McDowell.......................................  NC                                        37111            5.60
Mecklenburg....................................  NC                                        37119            5.60
Mitchell.......................................  NC                                        37121            5.40
Montgomery.....................................  NC                                        37123            5.60
Moore..........................................  NC                                        37125            5.60
Nash...........................................  NC                                        37127            5.60
New Hanover....................................  NC                                        37129            6.00
Northampton....................................  NC                                        37131            5.60
Onslow.........................................  NC                                        37133            6.00
Orange.........................................  NC                                        37135            5.40
Pamlico........................................  NC                                        37137            6.00
Pasquotank.....................................  NC                                        37139            5.60
Pender.........................................  NC                                        37141            6.00
Perquimans.....................................  NC                                        37143            5.60
Person.........................................  NC                                        37145            5.40
Pitt...........................................  NC                                        37147            5.80
Polk...........................................  NC                                        37149            5.60
Randolph.......................................  NC                                        37151            5.60
Richmond.......................................  NC                                        37153            5.80
Robeson........................................  NC                                        37155            5.80
Rockingham.....................................  NC                                        37157            5.40
Rowan..........................................  NC                                        37159            5.60
Rutherford.....................................  NC                                        37161            5.60
Sampson........................................  NC                                        37163            5.80
Scotland.......................................  NC                                        37165            5.80
Stanly.........................................  NC                                        37167            5.60
Stokes.........................................  NC                                        37169            5.40
Surry..........................................  NC                                        37171            5.40
Swain..........................................  NC                                        37173            5.40
Transylvania...................................  NC                                        37175            5.60
Tyrrell........................................  NC                                        37177            5.80
Union..........................................  NC                                        37179            5.80
Vance..........................................  NC                                        37181            5.40
Wake...........................................  NC                                        37183            5.60
Warren.........................................  NC                                        37185            5.40
Washington.....................................  NC                                        37187            5.80
Watauga........................................  NC                                        37189            5.40
Wayne..........................................  NC                                        37191            5.80
Wilkes.........................................  NC                                        37193            5.40
Wilson.........................................  NC                                        37195            5.80
Yadkin.........................................  NC                                        37197            5.40
Yancey.........................................  NC                                        37199            5.40
Adams..........................................  ND                                        38001            2.40
Barnes.........................................  ND                                        38003            2.60
Benson.........................................  ND                                        38005            2.30
Billings.......................................  ND                                        38007            2.40
Bottineau......................................  ND                                        38009            2.30
Bowman.........................................  ND                                        38011            2.40
Burke..........................................  ND                                        38013            2.30
Burleigh.......................................  ND                                        38015            2.40
Cass...........................................  ND                                        38017            2.70
Cavalier.......................................  ND                                        38019            2.30
Dickey.........................................  ND                                        38021            2.60
Divide.........................................  ND                                        38023            2.30
Dunn...........................................  ND                                        38025            2.40
Eddy...........................................  ND                                        38027            2.40
Emmons.........................................  ND                                        38029            2.40
Foster.........................................  ND                                        38031            2.40
Golden Valley..................................  ND                                        38033            2.40
Grand Forks....................................  ND                                        38035            2.30
Grant..........................................  ND                                        38037            2.40
Griggs.........................................  ND                                        38039            2.60
Hettinger......................................  ND                                        38041            2.40
Kidder.........................................  ND                                        38043            2.40
LaMoure........................................  ND                                        38045            2.60
Logan..........................................  ND                                        38047            2.40
McHenry........................................  ND                                        38049            2.30
McIntosh.......................................  ND                                        38051            2.40
McKenzie.......................................  ND                                        38053            2.40

[[Page 57665]]

 
McLean.........................................  ND                                        38055            2.40
Mercer.........................................  ND                                        38057            2.40
Morton.........................................  ND                                        38059            2.40
Mountrail......................................  ND                                        38061            2.30
Nelson.........................................  ND                                        38063            2.30
Oliver.........................................  ND                                        38065            2.40
Pembina........................................  ND                                        38067            2.30
Pierce.........................................  ND                                        38069            2.30
Ramsey.........................................  ND                                        38071            2.30
Ransom.........................................  ND                                        38073            2.60
Renville.......................................  ND                                        38075            2.30
Richland.......................................  ND                                        38077            2.60
Rolette........................................  ND                                        38079            2.30
Sargent........................................  ND                                        38081            2.60
Sheridan.......................................  ND                                        38083            2.40
Sioux..........................................  ND                                        38085            2.40
Slope..........................................  ND                                        38087            2.40
Stark..........................................  ND                                        38089            2.40
Steele.........................................  ND                                        38091            2.60
Stutsman.......................................  ND                                        38093            2.40
Towner.........................................  ND                                        38095            2.30
Traill.........................................  ND                                        38097            2.60
Walsh..........................................  ND                                        38099            2.30
Ward...........................................  ND                                        38101            2.30
Wells..........................................  ND                                        38103            2.40
Williams.......................................  ND                                        38105            2.30
Adams..........................................  NE                                        31001            2.60
Antelope.......................................  NE                                        31003            2.60
Arthur.........................................  NE                                        31005            2.40
Banner.........................................  NE                                        31007            2.40
Blaine.........................................  NE                                        31009            2.50
Boone..........................................  NE                                        31011            2.60
Box Butte......................................  NE                                        31013            2.40
Boyd...........................................  NE                                        31015            2.50
Brown..........................................  NE                                        31017            2.50
Buffalo........................................  NE                                        31019            2.50
Burt...........................................  NE                                        31021            2.60
Butler.........................................  NE                                        31023            2.60
Cass...........................................  NE                                        31025            2.70
Cedar..........................................  NE                                        31027            2.60
Chase..........................................  NE                                        31029            2.50
Cherry.........................................  NE                                        31031            2.40
Cheyenne.......................................  NE                                        31033            2.40
Clay...........................................  NE                                        31035            2.60
Colfax.........................................  NE                                        31037            2.60
Cuming.........................................  NE                                        31039            2.60
Custer.........................................  NE                                        31041            2.50
Dakota.........................................  NE                                        31043            2.60
Dawes..........................................  NE                                        31045            2.40
Dawson.........................................  NE                                        31047            2.50
Deuel..........................................  NE                                        31049            2.40
Dixon..........................................  NE                                        31051            2.60
Dodge..........................................  NE                                        31053            2.60
Douglas........................................  NE                                        31055            2.70
Dundy..........................................  NE                                        31057            2.50
Fillmore.......................................  NE                                        31059            2.60
Franklin.......................................  NE                                        31061            2.60
Frontier.......................................  NE                                        31063            2.50
Furnas.........................................  NE                                        31065            2.50
Gage...........................................  NE                                        31067            2.70
Garden County..................................  NE                                        31069            2.40
Garfield.......................................  NE                                        31071            2.50
Gosper.........................................  NE                                        31073            2.50
Grant..........................................  NE                                        31075            2.40
Greeley........................................  NE                                        31077            2.60
Hall...........................................  NE                                        31079            2.60
Hamilton.......................................  NE                                        31081            2.60
Harlan.........................................  NE                                        31083            2.50
Hayes..........................................  NE                                        31085            2.50
Hitchcock......................................  NE                                        31087            2.50
Holt...........................................  NE                                        31089            2.50

[[Page 57666]]

 
Hooker.........................................  NE                                        31091            2.40
Howard.........................................  NE                                        31093            2.60
Jefferson......................................  NE                                        31095            2.60
Johnson........................................  NE                                        31097            2.70
Kearney........................................  NE                                        31099            2.60
Keith..........................................  NE                                        31101            2.50
Keya Paha......................................  NE                                        31103            2.50
Kimball........................................  NE                                        31105            2.40
Knox...........................................  NE                                        31107            2.60
Lancaster......................................  NE                                        31109            2.60
Lincoln........................................  NE                                        31111            2.50
Logan..........................................  NE                                        31113            2.40
Loup...........................................  NE                                        31115            2.50
Madison........................................  NE                                        31119            2.60
McPherson......................................  NE                                        31117            2.40
Merrick........................................  NE                                        31121            2.60
Morrill........................................  NE                                        31123            2.40
Nance..........................................  NE                                        31125            2.60
Nemaha.........................................  NE                                        31127            2.70
Nuckolls.......................................  NE                                        31129            2.60
Otoe...........................................  NE                                        31131            2.70
Pawnee.........................................  NE                                        31133            2.70
Perkins........................................  NE                                        31135            2.50
Phelps.........................................  NE                                        31137            2.50
Pierce.........................................  NE                                        31139            2.60
Platte.........................................  NE                                        31141            2.60
Polk...........................................  NE                                        31143            2.60
Red Willow.....................................  NE                                        31145            2.50
Richardson.....................................  NE                                        31147            2.70
Rock...........................................  NE                                        31149            2.50
Saline.........................................  NE                                        31151            2.60
Sarpy..........................................  NE                                        31153            2.70
Saunders.......................................  NE                                        31155            2.60
Scotts Bluff...................................  NE                                        31157            2.40
Seward.........................................  NE                                        31159            2.60
Sheridan.......................................  NE                                        31161            2.40
Sherman........................................  NE                                        31163            2.50
Sioux..........................................  NE                                        31165            2.40
Stanton........................................  NE                                        31167            2.60
Thayer.........................................  NE                                        31169            2.60
Thomas.........................................  NE                                        31171            2.40
Thurston.......................................  NE                                        31173            2.60
Valley.........................................  NE                                        31175            2.50
Washington.....................................  NE                                        31177            2.60
Wayne..........................................  NE                                        31179            2.60
Webster........................................  NE                                        31181            2.60
Wheeler........................................  NE                                        31183            2.50
York...........................................  NE                                        31185            2.60
Belknap........................................  NH                                        33001            4.50
Carroll........................................  NH                                        33003            4.50
Cheshire.......................................  NH                                        33005            4.50
Coos...........................................  NH                                        33007            4.20
Grafton........................................  NH                                        33009            4.40
Hillsborough...................................  NH                                        33011            4.50
Merrimack......................................  NH                                        33013            4.50
Rockingham.....................................  NH                                        33015            4.50
Strafford......................................  NH                                        33017            4.50
Sullivan.......................................  NH                                        33019            4.50
Atlantic.......................................  NJ                                        34001            4.80
Bergen.........................................  NJ                                        34003            5.00
Burlington.....................................  NJ                                        34005            4.80
Camden.........................................  NJ                                        34007            4.70
Cape May.......................................  NJ                                        34009            4.80
Cumberland.....................................  NJ                                        34011            4.70
Essex..........................................  NJ                                        34013            5.00
Gloucester.....................................  NJ                                        34015            4.70
Hudson.........................................  NJ                                        34017            5.00
Hunterdon......................................  NJ                                        34019            4.70
Mercer.........................................  NJ                                        34021            4.70
Middlesex......................................  NJ                                        34023            4.90
Monmouth.......................................  NJ                                        34025            4.90

[[Page 57667]]

 
Morris.........................................  NJ                                        34027            4.90
Ocean..........................................  NJ                                        34029            4.90
Passaic........................................  NJ                                        34031            5.00
Salem..........................................  NJ                                        34033            4.70
Somerset.......................................  NJ                                        34035            4.90
Sussex.........................................  NJ                                        34037            4.70
Union..........................................  NJ                                        34039            5.00
Warren.........................................  NJ                                        34041            4.70
Bernalillo.....................................  NM                                        35001            2.40
Catron.........................................  NM                                        35003            2.30
Chaves.........................................  NM                                        35005            2.50
Cibola.........................................  NM                                        35006            2.30
Colfax.........................................  NM                                        35007            2.50
Curry..........................................  NM                                        35009            2.50
DeBaca.........................................  NM                                        35011            2.50
Dona Ana.......................................  NM                                        35013            2.50
Eddy...........................................  NM                                        35015            2.50
Grant..........................................  NM                                        35017            2.50
Guadalupe......................................  NM                                        35019            2.50
Harding........................................  NM                                        35021            2.50
Hidalgo........................................  NM                                        35023            2.50
Lea............................................  NM                                        35025            2.50
Lincoln........................................  NM                                        35027            2.50
Los Alamos.....................................  NM                                        35028            2.40
Luna...........................................  NM                                        35029            2.50
McKinley.......................................  NM                                        35031            2.30
Mora...........................................  NM                                        35033            2.50
Otero..........................................  NM                                        35035            2.50
Quay...........................................  NM                                        35037            2.50
Rio Arriba.....................................  NM                                        35039            2.30
Roosevelt......................................  NM                                        35041            2.50
San Juan.......................................  NM                                        35045            2.30
San Miguel.....................................  NM                                        35047            2.50
Sandoval.......................................  NM                                        35043            2.40
Santa Fe.......................................  NM                                        35049            2.40
Sierra.........................................  NM                                        35051            2.50
Socorro........................................  NM                                        35053            2.40
Taos...........................................  NM                                        35055            2.50
Torrance.......................................  NM                                        35057            2.40
Union..........................................  NM                                        35059            2.50
Valencia.......................................  NM                                        35061            2.40
Carson City....................................  NV                                        32510            1.90
Churchill......................................  NV                                        32001            1.90
Clark..........................................  NV                                        32003            2.60
Douglas........................................  NV                                        32005            1.80
Elko...........................................  NV                                        32007            2.00
Esmeralda......................................  NV                                        32009            2.20
Eureka.........................................  NV                                        32011            2.20
Humboldt.......................................  NV                                        32013            1.90
Lander.........................................  NV                                        32015            2.00
Lincoln........................................  NV                                        32017            2.50
Lyon...........................................  NV                                        32019            1.90
Mineral........................................  NV                                        32021            2.00
Nye............................................  NV                                        32023            2.20
Pershing.......................................  NV                                        32027            1.90
Storey.........................................  NV                                        32029            1.90
Washoe.........................................  NV                                        32031            2.00
White Pine.....................................  NV                                        32033            2.20
Albany.........................................  NY                                        36001            4.40
Allegany.......................................  NY                                        36003            3.90
Bronx..........................................  NY                                        36005            5.10
Broome.........................................  NY                                        36007            4.00
Cattaraugus....................................  NY                                        36009            3.90
Cayuga.........................................  NY                                        36011            3.90
Chautauqua.....................................  NY                                        36013            3.90
Chemung........................................  NY                                        36015            4.00
Chenango.......................................  NY                                        36017            4.00
Clinton........................................  NY                                        36019            4.20
Columbia.......................................  NY                                        36021            4.40
Cortland.......................................  NY                                        36023            3.90
Delaware.......................................  NY                                        36025            4.20

[[Page 57668]]

 
Dutchess.......................................  NY                                        36027            4.70
Erie...........................................  NY                                        36029            3.80
Essex..........................................  NY                                        36031            4.20
Franklin.......................................  NY                                        36033            4.10
Fulton.........................................  NY                                        36035            4.10
Genesee........................................  NY                                        36037            3.80
Greene.........................................  NY                                        36039            4.40
Hamilton.......................................  NY                                        36041            4.10
Herkimer.......................................  NY                                        36043            4.00
Jefferson......................................  NY                                        36045            4.00
Kings..........................................  NY                                        36047            5.10
Lewis..........................................  NY                                        36049            4.00
Livingston.....................................  NY                                        36051            3.80
Madison........................................  NY                                        36053            3.90
Monroe.........................................  NY                                        36055            3.80
Montgomery.....................................  NY                                        36057            4.10
Nassau.........................................  NY                                        36059            5.10
New York County................................  NY                                        36061            5.10
Niagara........................................  NY                                        36063            3.80
Oneida.........................................  NY                                        36065            3.90
Onondaga.......................................  NY                                        36067            3.90
Ontario........................................  NY                                        36069            3.80
Orange.........................................  NY                                        36071            4.70
Orleans........................................  NY                                        36073            3.80
Oswego.........................................  NY                                        36075            3.90
Otsego.........................................  NY                                        36077            4.10
Putnam.........................................  NY                                        36079            4.70
Queens.........................................  NY                                        36081            5.10
Rensselaer.....................................  NY                                        36083            4.40
Richmond.......................................  NY                                        36085            5.10
Rockland.......................................  NY                                        36087            5.00
Saratoga.......................................  NY                                        36091            4.20
Schenectady....................................  NY                                        36093            4.20
Schoharie......................................  NY                                        36095            4.20
Schuyler.......................................  NY                                        36097            3.90
Seneca.........................................  NY                                        36099            3.90
St. Lawrence...................................  NY                                        36089            4.00
Steuben........................................  NY                                        36101            3.90
Suffolk........................................  NY                                        36103            5.10
Sullivan.......................................  NY                                        36105            4.40
Tioga..........................................  NY                                        36107            4.00
Tompkins.......................................  NY                                        36109            3.90
Ulster.........................................  NY                                        36111            4.40
Warren.........................................  NY                                        36113            4.20
Washington.....................................  NY                                        36115            4.20
Wayne..........................................  NY                                        36117            3.80
Westchester....................................  NY                                        36119            5.00
Wyoming........................................  NY                                        36121            3.80
Yates..........................................  NY                                        36123            3.80
Adams..........................................  OH                                        39001            4.00
Allen..........................................  OH                                        39003            3.30
Ashland........................................  OH                                        39005            3.80
Ashtabula......................................  OH                                        39007            3.80
Athens.........................................  OH                                        39009            4.00
Auglaize.......................................  OH                                        39011            3.60
Belmont........................................  OH                                        39013            4.00
Brown..........................................  OH                                        39015            4.00
Butler.........................................  OH                                        39017            3.80
Carroll........................................  OH                                        39019            3.80
Champaign......................................  OH                                        39021            3.60
Clark..........................................  OH                                        39023            3.60
Clermont.......................................  OH                                        39025            4.00
Clinton........................................  OH                                        39027            3.80
Columbiana.....................................  OH                                        39029            4.00
Coshocton......................................  OH                                        39031            3.80
Crawford.......................................  OH                                        39033            3.60
Cuyahoga.......................................  OH                                        39035            3.80
Darke..........................................  OH                                        39037            3.60
Defiance.......................................  OH                                        39039            3.30
Delaware.......................................  OH                                        39041            3.60
Erie...........................................  OH                                        39043            3.60

[[Page 57669]]

 
Fairfield......................................  OH                                        39045            3.80
Fayette........................................  OH                                        39047            3.80
Franklin.......................................  OH                                        39049            3.60
Fulton.........................................  OH                                        39051            3.30
Gallia.........................................  OH                                        39053            4.30
Geauga.........................................  OH                                        39055            3.80
Greene.........................................  OH                                        39057            3.60
Guernsey.......................................  OH                                        39059            3.80
Hamilton.......................................  OH                                        39061            3.80
Hancock........................................  OH                                        39063            3.60
Hardin.........................................  OH                                        39065            3.60
Harrison.......................................  OH                                        39067            3.80
Henry..........................................  OH                                        39069            3.30
Highland.......................................  OH                                        39071            4.00
Hocking........................................  OH                                        39073            4.00
Holmes.........................................  OH                                        39075            3.80
Huron..........................................  OH                                        39077            3.60
Jackson........................................  OH                                        39079            4.00
Jefferson......................................  OH                                        39081            4.00
Knox...........................................  OH                                        39083            3.80
Lake...........................................  OH                                        39085            3.80
Lawrence.......................................  OH                                        39087            4.30
Licking........................................  OH                                        39089            3.80
Logan..........................................  OH                                        39091            3.60
Lorain.........................................  OH                                        39093            3.80
Lucas..........................................  OH                                        39095            3.30
Madison........................................  OH                                        39097            3.60
Mahoning.......................................  OH                                        39099            4.00
Marion.........................................  OH                                        39101            3.60
Medina.........................................  OH                                        39103            3.80
Meigs..........................................  OH                                        39105            4.30
Mercer.........................................  OH                                        39107            3.30
Miami..........................................  OH                                        39109            3.60
Monroe.........................................  OH                                        39111            4.00
Montgomery.....................................  OH                                        39113            3.60
Morgan.........................................  OH                                        39115            4.00
Morrow.........................................  OH                                        39117            3.60
Muskingum......................................  OH                                        39119            3.80
Noble..........................................  OH                                        39121            4.00
Ottawa.........................................  OH                                        39123            3.60
Paulding.......................................  OH                                        39125            3.30
Perry..........................................  OH                                        39127            4.00
Pickaway.......................................  OH                                        39129            3.80
Pike...........................................  OH                                        39131            4.00
Portage........................................  OH                                        39133            3.80
Preble.........................................  OH                                        39135            3.60
Putnam.........................................  OH                                        39137            3.30
Richland.......................................  OH                                        39139            3.60
Ross...........................................  OH                                        39141            4.00
Sandusky.......................................  OH                                        39143            3.60
Scioto.........................................  OH                                        39145            4.00
Seneca.........................................  OH                                        39147            3.60
Shelby.........................................  OH                                        39149            3.60
Stark..........................................  OH                                        39151            3.80
Summit.........................................  OH                                        39153            3.80
Trumbull.......................................  OH                                        39155            4.00
Tuscarawas.....................................  OH                                        39157            3.80
Union..........................................  OH                                        39159            3.60
Van Wert.......................................  OH                                        39161            3.30
Vinton.........................................  OH                                        39163            4.00
Warren.........................................  OH                                        39165            3.80
Washington.....................................  OH                                        39167            4.00
Wayne..........................................  OH                                        39169            3.80
Williams.......................................  OH                                        39171            3.30
Wood...........................................  OH                                        39173            3.60
Wyandot........................................  OH                                        39175            3.60
Adair..........................................  OK                                        40001            3.30
Alfalfa........................................  OK                                        40003            2.60
Atoka..........................................  OK                                        40005            3.60
Beaver.........................................  OK                                        40007            2.50
Beckham........................................  OK                                        40009            2.60

[[Page 57670]]

 
Blaine.........................................  OK                                        40011            2.90
Bryan..........................................  OK                                        40013            3.60
Caddo..........................................  OK                                        40015            2.90
Canadian.......................................  OK                                        40017            2.90
Carter.........................................  OK                                        40019            3.30
Cherokee.......................................  OK                                        40021            3.30
Choctaw........................................  OK                                        40023            3.60
Cimarron.......................................  OK                                        40025            2.50
Cleveland......................................  OK                                        40027            3.30
Coal...........................................  OK                                        40029            3.60
Comanche.......................................  OK                                        40031            2.90
Cotton.........................................  OK                                        40033            3.30
Craig..........................................  OK                                        40035            3.20
Creek..........................................  OK                                        40037            3.30
Custer.........................................  OK                                        40039            2.60
Delaware.......................................  OK                                        40041            3.20
Dewey..........................................  OK                                        40043            2.60
Ellis..........................................  OK                                        40045            2.60
Garfield.......................................  OK                                        40047            2.90
Garvin.........................................  OK                                        40049            3.30
Grady..........................................  OK                                        40051            3.30
Grant..........................................  OK                                        40053            2.90
Greer..........................................  OK                                        40055            2.60
Harmon.........................................  OK                                        40057            2.60
Harper.........................................  OK                                        40059            2.60
Haskell........................................  OK                                        40061            3.60
Hughes.........................................  OK                                        40063            3.30
Jackson........................................  OK                                        40065            2.90
Jefferson......................................  OK                                        40067            3.30
Johnston.......................................  OK                                        40069            3.60
Kay............................................  OK                                        40071            2.90
Kingfisher.....................................  OK                                        40073            2.90
Kiowa..........................................  OK                                        40075            2.90
Latimer........................................  OK                                        40077            3.60
Le Flore.......................................  OK                                        40079            3.60
Lincoln........................................  OK                                        40081            3.30
Logan..........................................  OK                                        40083            3.30
Love...........................................  OK                                        40085            3.30
Major..........................................  OK                                        40093            2.60
Marshall.......................................  OK                                        40095            3.60
Mayes..........................................  OK                                        40097            3.20
McClain........................................  OK                                        40087            3.30
McCurtain......................................  OK                                        40089            3.60
McIntosh.......................................  OK                                        40091            3.30
Murray.........................................  OK                                        40099            3.30
Muskogee.......................................  OK                                        40101            3.30
Noble..........................................  OK                                        40103            3.20
Nowata.........................................  OK                                        40105            3.20
Okfuskee.......................................  OK                                        40107            3.30
Oklahoma.......................................  OK                                        40109            3.30
Okmulgee.......................................  OK                                        40111            3.30
Osage..........................................  OK                                        40113            3.20
Ottawa.........................................  OK                                        40115            3.20
Pawnee.........................................  OK                                        40117            3.20
Payne..........................................  OK                                        40119            3.30
Pittsburg......................................  OK                                        40121            3.60
Pontotoc.......................................  OK                                        40123            3.30
Pottawatomie...................................  OK                                        40125            3.30
Pushmataha.....................................  OK                                        40127            3.60
Roger Mills....................................  OK                                        40129            2.60
Rogers.........................................  OK                                        40131            3.20
Seminole.......................................  OK                                        40133            3.30
Sequoyah.......................................  OK                                        40135            3.30
Stephens.......................................  OK                                        40137            3.30
Texas..........................................  OK                                        40139            2.50
Tillman........................................  OK                                        40141            2.90
Tulsa..........................................  OK                                        40143            3.30
Wagoner........................................  OK                                        40145            3.30
Washington.....................................  OK                                        40147            3.20
Washita........................................  OK                                        40149            2.60
Woods..........................................  OK                                        40151            2.60

[[Page 57671]]

 
Woodward.......................................  OK                                        40153            2.60
Baker..........................................  OR                                        41001            2.20
Benton.........................................  OR                                        41003            2.20
Clackamas......................................  OR                                        41005            2.70
Clatsop........................................  OR                                        41007            2.20
Columbia.......................................  OR                                        41009            2.20
Coos...........................................  OR                                        41011            2.20
Crook..........................................  OR                                        41013            2.20
Curry..........................................  OR                                        41015            2.20
Deschutes......................................  OR                                        41017            2.20
Douglas........................................  OR                                        41019            2.20
Gilliam........................................  OR                                        41021            2.20
Grant..........................................  OR                                        41023            2.20
Harney.........................................  OR                                        41025            2.20
Hood River.....................................  OR                                        41027            2.20
Jackson........................................  OR                                        41029            2.20
Jefferson......................................  OR                                        41031            2.20
Josephine......................................  OR                                        41033            2.20
Klamath........................................  OR                                        41035            2.20
Lake...........................................  OR                                        41037            2.20
Lane...........................................  OR                                        41039            2.20
Lincoln........................................  OR                                        41041            2.20
Linn...........................................  OR                                        41043            2.20
Malheur........................................  OR                                        41045            1.80
Marion.........................................  OR                                        41047            2.20
Morrow.........................................  OR                                        41049            2.20
Multnomah......................................  OR                                        41051            2.70
Polk...........................................  OR                                        41053            2.20
Sherman........................................  OR                                        41055            2.20
Tillamook......................................  OR                                        41057            2.20
Umatilla.......................................  OR                                        41059            2.20
Union..........................................  OR                                        41061            2.20
Wallowa........................................  OR                                        41063            2.20
Wasco..........................................  OR                                        41065            2.20
Washington.....................................  OR                                        41067            2.20
Wheeler........................................  OR                                        41069            2.20
Yamhill........................................  OR                                        41071            2.20
Adams..........................................  PA                                        42001            4.30
Allegheny......................................  PA                                        42003            4.00
Armstrong......................................  PA                                        42005            4.00
Beaver.........................................  PA                                        42007            4.00
Bedford........................................  PA                                        42009            4.10
Berks..........................................  PA                                        42011            4.30
Blair..........................................  PA                                        42013            4.00
Bradford.......................................  PA                                        42015            4.00
Bucks..........................................  PA                                        42017            4.50
Butler.........................................  PA                                        42019            4.00
Cambria........................................  PA                                        42021            4.00
Cameron........................................  PA                                        42023            4.00
Carbon.........................................  PA                                        42025            4.30
Centre.........................................  PA                                        42027            4.00
Chester........................................  PA                                        42029            4.30
Clarion........................................  PA                                        42031            4.00
Clearfield.....................................  PA                                        42033            4.00
Clinton........................................  PA                                        42035            4.00
Columbia.......................................  PA                                        42037            4.10
Crawford.......................................  PA                                        42039            4.00
Cumberland.....................................  PA                                        42041            4.20
Dauphin........................................  PA                                        42043            4.20
Delaware.......................................  PA                                        42045            4.40
Elk............................................  PA                                        42047            4.00
Erie...........................................  PA                                        42049            3.90
Fayette........................................  PA                                        42051            4.00
Forest.........................................  PA                                        42053            4.00
Franklin.......................................  PA                                        42055            4.20
Fulton.........................................  PA                                        42057            4.10
Greene.........................................  PA                                        42059            4.00
Huntingdon.....................................  PA                                        42061            4.10
Indiana........................................  PA                                        42063            4.00
Jefferson......................................  PA                                        42065            4.00
Juniata........................................  PA                                        42067            4.10

[[Page 57672]]

 
Lackawanna.....................................  PA                                        42069            4.30
Lancaster......................................  PA                                        42071            4.30
Lawrence.......................................  PA                                        42073            4.00
Lebanon........................................  PA                                        42075            4.20
Lehigh.........................................  PA                                        42077            4.30
Luzerne........................................  PA                                        42079            4.20
Lycoming.......................................  PA                                        42081            4.10
McKean.........................................  PA                                        42083            3.90
Mercer.........................................  PA                                        42085            4.00
Mifflin........................................  PA                                        42087            4.10
Monroe.........................................  PA                                        42089            4.40
Montgomery.....................................  PA                                        42091            4.40
Montour........................................  PA                                        42093            4.10
Northampton....................................  PA                                        42095            4.40
Northumberland.................................  PA                                        42097            4.10
Perry..........................................  PA                                        42099            4.20
Philadelphia...................................  PA                                        42101            4.60
Pike...........................................  PA                                        42103            4.40
Potter.........................................  PA                                        42105            3.90
Schuylkill.....................................  PA                                        42107            4.20
Snyder.........................................  PA                                        42109            4.10
Somerset.......................................  PA                                        42111            4.10
Sullivan.......................................  PA                                        42113            4.10
Susquehanna....................................  PA                                        42115            4.20
Tioga..........................................  PA                                        42117            4.00
Union..........................................  PA                                        42119            4.10
Venango........................................  PA                                        42121            4.00
Warren.........................................  PA                                        42123            3.90
Washington.....................................  PA                                        42125            4.00
Wayne..........................................  PA                                        42127            4.30
Westmoreland...................................  PA                                        42129            4.00
Wyoming........................................  PA                                        42131            4.20
York...........................................  PA                                        42133            4.30
Bristol........................................  RI                                        44001            5.10
Kent...........................................  RI                                        44003            5.10
Newport........................................  RI                                        44005            5.10
Providence.....................................  RI                                        44007            5.10
Washington.....................................  RI                                        44009            5.10
Abbeville......................................  SC                                        45001            5.80
Aiken..........................................  SC                                        45003            6.00
Allendale......................................  SC                                        45005            6.00
Anderson.......................................  SC                                        45007            5.60
Bamberg........................................  SC                                        45009            6.00
Barnwell.......................................  SC                                        45011            6.00
Beaufort.......................................  SC                                        45013            6.00
Berkeley.......................................  SC                                        45015            6.00
Calhoun........................................  SC                                        45017            6.00
Charleston.....................................  SC                                        45019            6.00
Cherokee.......................................  SC                                        45021            5.60
Chester........................................  SC                                        45023            5.80
Chesterfield...................................  SC                                        45025            5.80
Clarendon......................................  SC                                        45027            6.00
Colleton.......................................  SC                                        45029            6.00
Darlington.....................................  SC                                        45031            6.00
Dillon.........................................  SC                                        45033            6.00
Dorchester.....................................  SC                                        45035            6.00
Edgefield......................................  SC                                        45037            5.80
Fairfield......................................  SC                                        45039            5.80
Florence.......................................  SC                                        45041            6.00
Georgetown.....................................  SC                                        45043            6.00
Greenville.....................................  SC                                        45045            5.60
Greenwood......................................  SC                                        45047            5.80
Hampton........................................  SC                                        45049            6.00
Horry..........................................  SC                                        45051            6.00
Jasper.........................................  SC                                        45053            6.00
Kershaw........................................  SC                                        45055            6.00
Lancaster......................................  SC                                        45057            5.80
Laurens........................................  SC                                        45059            5.80
Lee............................................  SC                                        45061            6.00
Lexington......................................  SC                                        45063            6.00
Marion.........................................  SC                                        45067            6.00

[[Page 57673]]

 
Marlboro.......................................  SC                                        45069            5.80
McCormick......................................  SC                                        45065            5.80
Newberry.......................................  SC                                        45071            5.80
Oconee.........................................  SC                                        45073            5.60
Orangeburg.....................................  SC                                        45075            6.00
Pickens........................................  SC                                        45077            5.60
Richland.......................................  SC                                        45079            6.00
Saluda.........................................  SC                                        45081            5.80
Spartanburg....................................  SC                                        45083            5.60
Sumter.........................................  SC                                        45085            6.00
Union..........................................  SC                                        45087            5.80
Williamsburg...................................  SC                                        45089            6.00
York...........................................  SC                                        45091            5.60
Aurora.........................................  SD                                        46003            2.60
Beadle.........................................  SD                                        46005            2.60
Bennett........................................  SD                                        46007            2.40
Bon Homme......................................  SD                                        46009            2.60
Brookings......................................  SD                                        46011            2.60
Brown..........................................  SD                                        46013            2.60
Brule..........................................  SD                                        46015            2.50
Buffalo........................................  SD                                        46017            2.50
Butte..........................................  SD                                        46019            2.40
Campbell.......................................  SD                                        46021            2.50
Charles Mix....................................  SD                                        46023            2.50
Clark..........................................  SD                                        46025            2.60
Clay...........................................  SD                                        46027            2.60
Codington......................................  SD                                        46029            2.60
Corson.........................................  SD                                        46031            2.40
Custer.........................................  SD                                        46033            2.40
Davison........................................  SD                                        46035            2.60
Day............................................  SD                                        46037            2.60
Deuel..........................................  SD                                        46039            2.60
Dewey..........................................  SD                                        46041            2.40
Douglas........................................  SD                                        46043            2.60
Edmunds........................................  SD                                        46045            2.50
Fall River.....................................  SD                                        46047            2.40
Faulk..........................................  SD                                        46049            2.50
Grant..........................................  SD                                        46051            2.60
Gregory........................................  SD                                        46053            2.50
Haakon.........................................  SD                                        46055            2.40
Hamlin.........................................  SD                                        46057            2.60
Hand...........................................  SD                                        46059            2.50
Hanson.........................................  SD                                        46061            2.60
Harding........................................  SD                                        46063            2.40
Hughes.........................................  SD                                        46065            2.50
Hutchinson.....................................  SD                                        46067            2.60
Hyde...........................................  SD                                        46069            2.50
Jackson........................................  SD                                        46071            2.40
Jerauld........................................  SD                                        46073            2.60
Jones..........................................  SD                                        46075            2.40
Kingsbury......................................  SD                                        46077            2.60
Lake...........................................  SD                                        46079            2.60
Lawrence.......................................  SD                                        46081            2.40
Lincoln........................................  SD                                        46083            2.60
Lyman..........................................  SD                                        46085            2.50
Marshall.......................................  SD                                        46091            2.60
McCook.........................................  SD                                        46087            2.60
McPherson......................................  SD                                        46089            2.50
Meade..........................................  SD                                        46093            2.40
Mellette.......................................  SD                                        46095            2.40
Miner..........................................  SD                                        46097            2.60
Minnehaha......................................  SD                                        46099            2.60
Moody..........................................  SD                                        46101            2.60
Oglala Lakota..................................  SD                                        46102            2.40
Pennington.....................................  SD                                        46103            2.40
Perkins........................................  SD                                        46105            2.40
Potter.........................................  SD                                        46107            2.50
Roberts........................................  SD                                        46109            2.60
Sanborn........................................  SD                                        46111            2.60
Spink..........................................  SD                                        46115            2.60
Stanley........................................  SD                                        46117            2.40

[[Page 57674]]

 
Sully..........................................  SD                                        46119            2.50
Todd...........................................  SD                                        46121            2.40
Tripp..........................................  SD                                        46123            2.50
Turner.........................................  SD                                        46125            2.60
Union..........................................  SD                                        46127            2.60
Walworth.......................................  SD                                        46129            2.50
Yankton........................................  SD                                        46135            2.60
Ziebach........................................  SD                                        46137            2.40
Anderson.......................................  TN                                        47001            4.90
Bedford........................................  TN                                        47003            4.90
Benton.........................................  TN                                        47005            4.60
Bledsoe........................................  TN                                        47007            4.90
Blount.........................................  TN                                        47009            5.20
Bradley........................................  TN                                        47011            5.20
Campbell.......................................  TN                                        47013            4.90
Cannon.........................................  TN                                        47015            4.90
Carroll........................................  TN                                        47017            4.60
Carter.........................................  TN                                        47019            5.20
Cheatham.......................................  TN                                        47021            4.60
Chester........................................  TN                                        47023            4.60
Claiborne......................................  TN                                        47025            4.90
Clay...........................................  TN                                        47027            4.60
Cocke..........................................  TN                                        47029            5.20
Coffee.........................................  TN                                        47031            4.90
Crockett.......................................  TN                                        47033            4.30
Cumberland.....................................  TN                                        47035            4.90
Davidson.......................................  TN                                        47037            4.60
Decatur........................................  TN                                        47039            4.60
DeKalb.........................................  TN                                        47041            4.90
Dickson........................................  TN                                        47043            4.60
Dyer...........................................  TN                                        47045            4.30
Fayette........................................  TN                                        47047            4.60
Fentress.......................................  TN                                        47049            4.60
Franklin.......................................  TN                                        47051            5.20
Gibson.........................................  TN                                        47053            4.30
Giles..........................................  TN                                        47055            4.90
Grainger.......................................  TN                                        47057            4.90
Greene.........................................  TN                                        47059            5.20
Grundy.........................................  TN                                        47061            4.90
Hamblen........................................  TN                                        47063            5.20
Hamilton.......................................  TN                                        47065            5.20
Hancock........................................  TN                                        47067            4.90
Hardeman.......................................  TN                                        47069            4.60
Hardin.........................................  TN                                        47071            4.90
Hawkins........................................  TN                                        47073            5.20
Haywood........................................  TN                                        47075            4.60
Henderson......................................  TN                                        47077            4.60
Henry..........................................  TN                                        47079            4.30
Hickman........................................  TN                                        47081            4.60
Houston........................................  TN                                        47083            4.60
Humphreys......................................  TN                                        47085            4.60
Jackson........................................  TN                                        47087            4.60
Jefferson......................................  TN                                        47089            5.20
Johnson........................................  TN                                        47091            5.20
Knox...........................................  TN                                        47093            4.90
Lake...........................................  TN                                        47095            4.30
Lauderdale.....................................  TN                                        47097            4.30
Lawrence.......................................  TN                                        47099            4.90
Lewis..........................................  TN                                        47101            4.90
Lincoln........................................  TN                                        47103            5.20
Loudon.........................................  TN                                        47105            5.20
Macon..........................................  TN                                        47111            4.60
Madison........................................  TN                                        47113            4.60
Marion.........................................  TN                                        47115            5.20
Marshall.......................................  TN                                        47117            4.90
Maury..........................................  TN                                        47119            4.90
McMinn.........................................  TN                                        47107            5.20
McNairy........................................  TN                                        47109            4.90
Meigs..........................................  TN                                        47121            5.20
Monroe.........................................  TN                                        47123            5.20
Montgomery.....................................  TN                                        47125            4.30

[[Page 57675]]

 
Moore..........................................  TN                                        47127            4.90
Morgan.........................................  TN                                        47129            4.90
Obion..........................................  TN                                        47131            4.30
Overton........................................  TN                                        47133            4.60
Perry..........................................  TN                                        47135            4.60
Pickett........................................  TN                                        47137            4.60
Polk...........................................  TN                                        47139            5.40
Putnam.........................................  TN                                        47141            4.60
Rhea...........................................  TN                                        47143            4.90
Roane..........................................  TN                                        47145            4.90
Robertson......................................  TN                                        47147            4.60
Rutherford.....................................  TN                                        47149            4.60
Scott..........................................  TN                                        47151            4.90
Sequatchie.....................................  TN                                        47153            5.20
Sevier.........................................  TN                                        47155            5.20
Shelby.........................................  TN                                        47157            4.60
Smith..........................................  TN                                        47159            4.60
Stewart........................................  TN                                        47161            4.30
Sullivan.......................................  TN                                        47163            5.20
Sumner.........................................  TN                                        47165            4.60
Tipton.........................................  TN                                        47167            4.60
Trousdale......................................  TN                                        47169            4.60
Unicoi.........................................  TN                                        47171            5.40
Union..........................................  TN                                        47173            4.90
Van Buren......................................  TN                                        47175            4.90
Warren.........................................  TN                                        47177            4.90
Washington.....................................  TN                                        47179            5.20
Wayne..........................................  TN                                        47181            4.90
Weakley........................................  TN                                        47183            4.30
White..........................................  TN                                        47185            4.90
Williamson.....................................  TN                                        47187            4.60
Wilson.........................................  TN                                        47189            4.60
Anderson.......................................  TX                                        48001            4.00
Andrews........................................  TX                                        48003            2.90
Angelina.......................................  TX                                        48005            4.60
Aransas........................................  TX                                        48007            4.60
Archer.........................................  TX                                        48009            3.30
Armstrong......................................  TX                                        48011            2.50
Atascosa.......................................  TX                                        48013            4.30
Austin.........................................  TX                                        48015            4.30
Bailey.........................................  TX                                        48017            2.50
Bandera........................................  TX                                        48019            4.00
Bastrop........................................  TX                                        48021            4.30
Baylor.........................................  TX                                        48023            2.90
Bee............................................  TX                                        48025            4.60
Bell...........................................  TX                                        48027            4.00
Bexar..........................................  TX                                        48029            4.30
Blanco.........................................  TX                                        48031            4.00
Borden.........................................  TX                                        48033            2.90
Bosque.........................................  TX                                        48035            3.60
Bowie..........................................  TX                                        48037            4.00
Brazoria.......................................  TX                                        48039            4.80
Brazos.........................................  TX                                        48041            4.30
Brewster.......................................  TX                                        48043            3.30
Briscoe........................................  TX                                        48045            2.50
Brooks.........................................  TX                                        48047            4.60
Brown..........................................  TX                                        48049            3.60
Burleson.......................................  TX                                        48051            4.30
Burnet.........................................  TX                                        48053            4.00
Caldwell.......................................  TX                                        48055            4.30
Calhoun........................................  TX                                        48057            4.60
Callahan.......................................  TX                                        48059            3.30
Cameron........................................  TX                                        48061            4.60
Camp...........................................  TX                                        48063            3.70
Carson.........................................  TX                                        48065            2.50
Cass...........................................  TX                                        48067            4.00
Castro.........................................  TX                                        48069            2.50
Chambers.......................................  TX                                        48071            4.80
Cherokee.......................................  TX                                        48073            4.00
Childress......................................  TX                                        48075            2.60
Clay...........................................  TX                                        48077            3.30

[[Page 57676]]

 
Cochran........................................  TX                                        48079            2.50
Coke...........................................  TX                                        48081            3.30
Coleman........................................  TX                                        48083            3.60
Collin.........................................  TX                                        48085            3.70
Collingsworth..................................  TX                                        48087            2.60
Colorado.......................................  TX                                        48089            4.30
Comal..........................................  TX                                        48091            4.00
Comanche.......................................  TX                                        48093            3.60
Concho.........................................  TX                                        48095            3.60
Cooke..........................................  TX                                        48097            3.30
Coryell........................................  TX                                        48099            4.00
Cottle.........................................  TX                                        48101            2.60
Crane..........................................  TX                                        48103            2.90
Crockett.......................................  TX                                        48105            3.30
Crosby.........................................  TX                                        48107            2.60
Culberson......................................  TX                                        48109            2.90
Dallam.........................................  TX                                        48111            2.50
Dallas.........................................  TX                                        48113            3.70
Dawson.........................................  TX                                        48115            2.90
Deaf Smith.....................................  TX                                        48117            2.50
Delta..........................................  TX                                        48119            3.70
Denton.........................................  TX                                        48121            3.70
DeWitt.........................................  TX                                        48123            4.30
Dickens........................................  TX                                        48125            2.60
Dimmit.........................................  TX                                        48127            4.00
Donley.........................................  TX                                        48129            2.50
Duval..........................................  TX                                        48131            4.60
Eastland.......................................  TX                                        48133            3.60
Ector..........................................  TX                                        48135            2.90
Edwards........................................  TX                                        48137            3.60
El Paso........................................  TX                                        48141            2.70
Ellis..........................................  TX                                        48139            3.70
Erath..........................................  TX                                        48143            3.60
Falls..........................................  TX                                        48145            4.00
Fannin.........................................  TX                                        48147            3.70
Fayette........................................  TX                                        48149            4.30
Fisher.........................................  TX                                        48151            2.90
Floyd..........................................  TX                                        48153            2.60
Foard..........................................  TX                                        48155            2.90
Fort Bend......................................  TX                                        48157            4.60
Franklin.......................................  TX                                        48159            3.70
Freestone......................................  TX                                        48161            4.00
Frio...........................................  TX                                        48163            4.30
Gaines.........................................  TX                                        48165            2.60
Galveston......................................  TX                                        48167            4.80
Garza..........................................  TX                                        48169            2.90
Gillespie......................................  TX                                        48171            4.00
Glasscock......................................  TX                                        48173            3.30
Goliad.........................................  TX                                        48175            4.60
Gonzales.......................................  TX                                        48177            4.30
Gray...........................................  TX                                        48179            2.50
Grayson........................................  TX                                        48181            3.70
Gregg..........................................  TX                                        48183            4.00
Grimes.........................................  TX                                        48185            4.60
Guadalupe......................................  TX                                        48187            4.30
Hale...........................................  TX                                        48189            2.50
Hall...........................................  TX                                        48191            2.50
Hamilton.......................................  TX                                        48193            3.60
Hansford.......................................  TX                                        48195            2.50
Hardeman.......................................  TX                                        48197            2.90
Hardin.........................................  TX                                        48199            4.80
Harris.........................................  TX                                        48201            4.80
Harrison.......................................  TX                                        48203            4.00
Hartley........................................  TX                                        48205            2.50
Haskell........................................  TX                                        48207            2.90
Hays...........................................  TX                                        48209            4.00
Hemphill.......................................  TX                                        48211            2.60
Henderson......................................  TX                                        48213            3.70
Hidalgo........................................  TX                                        48215            4.60
Hill...........................................  TX                                        48217            3.70
Hockley........................................  TX                                        48219            2.60

[[Page 57677]]

 
Hood...........................................  TX                                        48221            3.70
Hopkins........................................  TX                                        48223            3.70
Houston........................................  TX                                        48225            4.00
Howard.........................................  TX                                        48227            2.90
Hudspeth.......................................  TX                                        48229            2.70
Hunt...........................................  TX                                        48231            3.70
Hutchinson.....................................  TX                                        48233            2.50
Irion..........................................  TX                                        48235            3.30
Jack...........................................  TX                                        48237            3.30
Jackson........................................  TX                                        48239            4.60
Jasper.........................................  TX                                        48241            4.80
Jeff Davis.....................................  TX                                        48243            2.90
Jefferson......................................  TX                                        48245            4.80
Jim Hogg.......................................  TX                                        48247            4.60
Jim Wells......................................  TX                                        48249            4.60
Johnson........................................  TX                                        48251            3.70
Jones..........................................  TX                                        48253            3.30
Karnes.........................................  TX                                        48255            4.30
Kaufman........................................  TX                                        48257            3.70
Kendall........................................  TX                                        48259            4.00
Kenedy.........................................  TX                                        48261            4.60
Kent...........................................  TX                                        48263            2.90
Kerr...........................................  TX                                        48265            4.00
Kimble.........................................  TX                                        48267            3.60
King...........................................  TX                                        48269            2.90
Kinney.........................................  TX                                        48271            4.00
Kleberg........................................  TX                                        48273            4.60
Knox...........................................  TX                                        48275            2.90
La Salle.......................................  TX                                        48283            4.30
Lamar..........................................  TX                                        48277            3.70
Lamb...........................................  TX                                        48279            2.50
Lampasas.......................................  TX                                        48281            4.00
Lavaca.........................................  TX                                        48285            4.30
Lee............................................  TX                                        48287            4.30
Leon...........................................  TX                                        48289            4.00
Liberty........................................  TX                                        48291            4.80
Limestone......................................  TX                                        48293            4.00
Lipscomb.......................................  TX                                        48295            2.60
Live Oak.......................................  TX                                        48297            4.30
Llano..........................................  TX                                        48299            4.00
Loving.........................................  TX                                        48301            2.90
Lubbock........................................  TX                                        48303            2.60
Lynn...........................................  TX                                        48305            2.90
Madison........................................  TX                                        48313            4.00
Marion.........................................  TX                                        48315            4.00
Martin.........................................  TX                                        48317            2.90
Mason..........................................  TX                                        48319            3.60
Matagorda......................................  TX                                        48321            4.80
Maverick.......................................  TX                                        48323            4.00
McCulloch......................................  TX                                        48307            3.60
McLennan.......................................  TX                                        48309            4.00
McMullen.......................................  TX                                        48311            4.30
Medina.........................................  TX                                        48325            4.00
Menard.........................................  TX                                        48327            3.60
Midland........................................  TX                                        48329            2.90
Milam..........................................  TX                                        48331            4.00
Mills..........................................  TX                                        48333            3.60
Mitchell.......................................  TX                                        48335            3.30
Montague.......................................  TX                                        48337            3.30
Montgomery.....................................  TX                                        48339            4.80
Moore..........................................  TX                                        48341            2.50
Morris.........................................  TX                                        48343            3.70
Motley.........................................  TX                                        48345            2.60
Nacogdoches....................................  TX                                        48347            4.00
Navarro........................................  TX                                        48349            3.70
Newton.........................................  TX                                        48351            4.80
Nolan..........................................  TX                                        48353            3.30
Nueces.........................................  TX                                        48355            4.60
Ochiltree......................................  TX                                        48357            2.50
Oldham.........................................  TX                                        48359            2.50
Orange.........................................  TX                                        48361            4.80

[[Page 57678]]

 
Palo Pinto.....................................  TX                                        48363            3.30
Panola.........................................  TX                                        48365            4.00
Parker.........................................  TX                                        48367            3.70
Parmer.........................................  TX                                        48369            2.50
Pecos..........................................  TX                                        48371            3.30
Polk...........................................  TX                                        48373            4.60
Potter.........................................  TX                                        48375            2.50
Presidio.......................................  TX                                        48377            2.90
Rains..........................................  TX                                        48379            3.70
Randall........................................  TX                                        48381            2.50
Reagan.........................................  TX                                        48383            3.30
Real...........................................  TX                                        48385            4.00
Red River......................................  TX                                        48387            3.70
Reeves.........................................  TX                                        48389            2.90
Refugio........................................  TX                                        48391            4.60
Roberts........................................  TX                                        48393            2.50
Robertson......................................  TX                                        48395            4.00
Rockwall.......................................  TX                                        48397            3.70
Runnels........................................  TX                                        48399            3.30
Rusk...........................................  TX                                        48401            4.00
Sabine.........................................  TX                                        48403            4.60
San Augustine..................................  TX                                        48405            4.60
San Jacinto....................................  TX                                        48407            4.60
San Patricio...................................  TX                                        48409            4.60
San Saba.......................................  TX                                        48411            3.60
Schleicher.....................................  TX                                        48413            3.60
Scurry.........................................  TX                                        48415            2.90
Shackelford....................................  TX                                        48417            3.30
Shelby.........................................  TX                                        48419            4.60
Sherman........................................  TX                                        48421            2.50
Smith..........................................  TX                                        48423            3.70
Somervell......................................  TX                                        48425            3.70
Starr..........................................  TX                                        48427            4.60
Stephens.......................................  TX                                        48429            3.30
Sterling.......................................  TX                                        48431            3.30
Stonewall......................................  TX                                        48433            2.90
Sutton.........................................  TX                                        48435            3.60
Swisher........................................  TX                                        48437            2.50
Tarrant........................................  TX                                        48439            3.70
Taylor.........................................  TX                                        48441            3.30
Terrell........................................  TX                                        48443            3.30
Terry..........................................  TX                                        48445            2.60
Throckmorton...................................  TX                                        48447            3.30
Titus..........................................  TX                                        48449            3.70
Tom Green......................................  TX                                        48451            3.30
Travis.........................................  TX                                        48453            4.00
Trinity........................................  TX                                        48455            4.60
Tyler..........................................  TX                                        48457            4.80
Upshur.........................................  TX                                        48459            3.70
Upton..........................................  TX                                        48461            3.30
Uvalde.........................................  TX                                        48463            4.00
Val Verde......................................  TX                                        48465            3.60
Van Zandt......................................  TX                                        48467            3.70
Victoria.......................................  TX                                        48469            4.60
Walker.........................................  TX                                        48471            4.60
Waller.........................................  TX                                        48473            4.60
Ward...........................................  TX                                        48475            2.90
Washington.....................................  TX                                        48477            4.30
Webb...........................................  TX                                        48479            4.30
Wharton........................................  TX                                        48481            4.60
Wheeler........................................  TX                                        48483            2.60
Wichita........................................  TX                                        48485            2.90
Wilbarger......................................  TX                                        48487            2.90
Willacy........................................  TX                                        48489            4.60
Williamson.....................................  TX                                        48491            4.00
Wilson.........................................  TX                                        48493            4.30
Winkler........................................  TX                                        48495            2.90
Wise...........................................  TX                                        48497            3.30
Wood...........................................  TX                                        48499            3.70
Yoakum.........................................  TX                                        48501            2.60
Young..........................................  TX                                        48503            3.30

[[Page 57679]]

 
Zapata.........................................  TX                                        48505            4.30
Zavala.........................................  TX                                        48507            4.00
Beaver.........................................  UT                                        49001            2.40
Box Elder......................................  UT                                        49003            2.00
Cache..........................................  UT                                        49005            2.20
Carbon.........................................  UT                                        49007            2.20
Daggett........................................  UT                                        49009            2.30
Davis..........................................  UT                                        49011            2.20
Duchesne.......................................  UT                                        49013            2.20
Emery..........................................  UT                                        49015            2.30
Garfield.......................................  UT                                        49017            2.30
Grand..........................................  UT                                        49019            2.30
Iron...........................................  UT                                        49021            2.40
Juab...........................................  UT                                        49023            2.20
Kane...........................................  UT                                        49025            2.40
Millard........................................  UT                                        49027            2.30
Morgan.........................................  UT                                        49029            2.20
Piute..........................................  UT                                        49031            2.30
Rich...........................................  UT                                        49033            2.20
Salt Lake......................................  UT                                        49035            2.20
San Juan.......................................  UT                                        49037            2.30
Sanpete........................................  UT                                        49039            2.20
Sevier.........................................  UT                                        49041            2.30
Summit.........................................  UT                                        49043            2.20
Tooele.........................................  UT                                        49045            2.20
Uintah.........................................  UT                                        49047            2.30
Utah...........................................  UT                                        49049            2.20
Wasatch........................................  UT                                        49051            2.20
Washington.....................................  UT                                        49053            2.50
Wayne..........................................  UT                                        49055            2.30
Weber..........................................  UT                                        49057            2.20
Accomack.......................................  VA                                        51001            4.80
Albemarle......................................  VA                                        51003            4.50
Alexandria City................................  VA                                        51510            4.50
Alleghany......................................  VA                                        51005            4.50
Amelia.........................................  VA                                        51007            4.80
Amherst........................................  VA                                        51009            4.50
Appomattox.....................................  VA                                        51011            4.80
Arlington......................................  VA                                        51013            4.60
Augusta........................................  VA                                        51015            4.30
Bath...........................................  VA                                        51017            4.50
Bedford........................................  VA                                        51019            4.80
Bland..........................................  VA                                        51021            4.80
Botetourt......................................  VA                                        51023            4.80
Bristol City...................................  VA                                        51520            5.20
Brunswick......................................  VA                                        51025            5.20
Buchanan.......................................  VA                                        51027            4.80
Buckingham.....................................  VA                                        51029            4.80
Buena Vista City...............................  VA                                        51530            4.50
Campbell.......................................  VA                                        51031            4.80
Caroline.......................................  VA                                        51033            4.80
Carroll........................................  VA                                        51035            5.20
Charles City...................................  VA                                        51036            5.20
Charlotte......................................  VA                                        51037            4.80
Charlottesville................................  VA                                        51540            4.50
Chesapeake City................................  VA                                        51550            5.20
Chesterfield...................................  VA                                        51041            4.80
Clarke.........................................  VA                                        51043            4.30
Colonial Heights...............................  VA                                        51570            4.80
Covington......................................  VA                                        51580            4.50
Craig..........................................  VA                                        51045            4.80
Culpeper.......................................  VA                                        51047            4.50
Cumberland.....................................  VA                                        51049            4.80
Danville City..................................  VA                                        51590            5.20
Dickenson......................................  VA                                        51051            4.80
Dinwiddie......................................  VA                                        51053            5.20
Emporia........................................  VA                                        51595            5.20
Essex..........................................  VA                                        51057            4.80
Fairfax........................................  VA                                        51059            4.60
Fairfax City...................................  VA                                        51600            4.50
Falls Church City..............................  VA                                        51610            4.50

[[Page 57680]]

 
Fauquier.......................................  VA                                        51061            4.50
Floyd..........................................  VA                                        51063            5.20
Fluvanna.......................................  VA                                        51065            4.50
Franklin City..................................  VA                                        51620            5.20
Franklin County................................  VA                                        51067            4.80
Frederick......................................  VA                                        51069            4.30
Fredericksburg City............................  VA                                        51630            4.50
Galax City.....................................  VA                                        51640            5.20
Giles..........................................  VA                                        51071            4.80
Gloucester.....................................  VA                                        51073            5.20
Goochland......................................  VA                                        51075            4.80
Grayson........................................  VA                                        51077            5.20
Greene.........................................  VA                                        51079            4.50
Greensville....................................  VA                                        51081            5.20
Halifax........................................  VA                                        51083            5.20
Hampton City...................................  VA                                        51650            5.20
Hanover........................................  VA                                        51085            4.80
Harrisonburg...................................  VA                                        51660            4.30
Henrico........................................  VA                                        51087            4.80
Henry..........................................  VA                                        51089            5.20
Highland.......................................  VA                                        51091            4.30
Hopewell.......................................  VA                                        51670            5.20
Isle of Wight..................................  VA                                        51093            5.20
James City.....................................  VA                                        51095            5.20
King and Queen.................................  VA                                        51097            4.80
King George....................................  VA                                        51099            4.80
King William...................................  VA                                        51101            4.80
Lancaster......................................  VA                                        51103            5.20
Lee............................................  VA                                        51105            4.80
Lexington......................................  VA                                        51678            4.50
Loudoun........................................  VA                                        51107            4.40
Louisa.........................................  VA                                        51109            4.50
Lunenburg......................................  VA                                        51111            5.20
Lynchburg City.................................  VA                                        51680            4.80
Madison........................................  VA                                        51113            4.50
Manassas.......................................  VA                                        51683            4.50
Manassas Park..................................  VA                                        51685            4.50
Martinsville City..............................  VA                                        51690            5.20
Mathews........................................  VA                                        51115            5.20
Mecklenburg....................................  VA                                        51117            5.20
Middlesex......................................  VA                                        51119            5.20
Montgomery.....................................  VA                                        51121            4.80
Nelson.........................................  VA                                        51125            4.50
New Kent.......................................  VA                                        51127            5.20
Newport News City..............................  VA                                        51700            5.20
Norfolk City...................................  VA                                        51710            5.20
Northampton....................................  VA                                        51131            4.80
Northumberland.................................  VA                                        51133            4.80
Norton City....................................  VA                                        51720            4.80
Nottoway.......................................  VA                                        51135            4.80
Orange.........................................  VA                                        51137            4.50
Page...........................................  VA                                        51139            4.30
Patrick........................................  VA                                        51141            5.20
Petersburg City................................  VA                                        51730            5.20
Pittsylvania...................................  VA                                        51143            5.20
Poquoson City..................................  VA                                        51735            5.20
Portsmouth City................................  VA                                        51740            5.20
Powhatan.......................................  VA                                        51145            4.80
Prince Edward..................................  VA                                        51147            4.80
Prince George..................................  VA                                        51149            5.20
Prince William.................................  VA                                        51153            4.50
Pulaski........................................  VA                                        51155            4.80
Radford City...................................  VA                                        51750            4.80
Rappahannock...................................  VA                                        51157            4.50
Richmond City..................................  VA                                        51760            4.80
Richmond County................................  VA                                        51159            4.80
Roanoke........................................  VA                                        51161            4.80
Roanoke City...................................  VA                                        51770            4.80
Rockbridge.....................................  VA                                        51163            4.50
Rockingham.....................................  VA                                        51165            4.30
Russell........................................  VA                                        51167            4.80

[[Page 57681]]

 
Salem City.....................................  VA                                        51775            4.80
Scott..........................................  VA                                        51169            4.80
Shenandoah.....................................  VA                                        51171            4.30
Smyth..........................................  VA                                        51173            5.20
Southampton....................................  VA                                        51175            5.20
Spotsylvania...................................  VA                                        51177            4.50
Stafford.......................................  VA                                        51179            4.50
Staunton.......................................  VA                                        51790            4.30
Suffolk City...................................  VA                                        51800            5.20
Surry..........................................  VA                                        51181            5.20
Sussex.........................................  VA                                        51183            5.20
Tazewell.......................................  VA                                        51185            4.80
Virginia Beach City............................  VA                                        51810            5.20
Warren.........................................  VA                                        51187            4.30
Washington.....................................  VA                                        51191            5.20
Waynesboro.....................................  VA                                        51820            4.30
Westmoreland...................................  VA                                        51193            4.80
Williamsburg...................................  VA                                        51830            5.20
Winchester City................................  VA                                        51840            4.30
Wise...........................................  VA                                        51195            4.80
Wythe..........................................  VA                                        51197            5.20
York...........................................  VA                                        51199            5.20
Addison........................................  VT                                        50001            4.30
Bennington.....................................  VT                                        50003            4.50
Caledonia......................................  VT                                        50005            4.30
Chittenden.....................................  VT                                        50007            4.30
Essex..........................................  VT                                        50009            4.20
Franklin.......................................  VT                                        50011            4.20
Grand Isle.....................................  VT                                        50013            4.20
Lamoille.......................................  VT                                        50015            4.30
Orange.........................................  VT                                        50017            4.30
Orleans........................................  VT                                        50019            4.20
Rutland........................................  VT                                        50021            4.30
Washington.....................................  VT                                        50023            4.30
Windham........................................  VT                                        50025            4.50
Windsor........................................  VT                                        50027            4.50
Adams..........................................  WA                                        53001            2.20
Asotin.........................................  WA                                        53003            2.20
Benton.........................................  WA                                        53005            2.20
Chelan.........................................  WA                                        53007            2.40
Clallam........................................  WA                                        53009            2.40
Clark..........................................  WA                                        53011            2.70
Columbia.......................................  WA                                        53013            2.20
Cowlitz........................................  WA                                        53015            2.40
Douglas........................................  WA                                        53017            2.40
Ferry..........................................  WA                                        53019            2.40
Franklin.......................................  WA                                        53021            2.20
Garfield.......................................  WA                                        53023            2.20
Grant..........................................  WA                                        53025            2.20
Grays Harbor...................................  WA                                        53027            2.40
Island.........................................  WA                                        53029            2.40
Jefferson......................................  WA                                        53031            2.40
King...........................................  WA                                        53033            2.70
Kitsap.........................................  WA                                        53035            2.40
Kittitas.......................................  WA                                        53037            2.40
Klickitat......................................  WA                                        53039            2.20
Lewis..........................................  WA                                        53041            2.40
Lincoln........................................  WA                                        53043            2.40
Mason..........................................  WA                                        53045            2.40
Okanogan.......................................  WA                                        53047            2.40
Pacific........................................  WA                                        53049            2.40
Pend Oreille...................................  WA                                        53051            2.40
Pierce.........................................  WA                                        53053            2.40
San Juan.......................................  WA                                        53055            2.40
Skagit.........................................  WA                                        53057            2.40
Skamania.......................................  WA                                        53059            2.40
Snohomish......................................  WA                                        53061            2.40
Spokane........................................  WA                                        53063            2.40
Stevens........................................  WA                                        53065            2.40
Thurston.......................................  WA                                        53067            2.40
Wahkiakum......................................  WA                                        53069            2.40

[[Page 57682]]

 
Walla Walla....................................  WA                                        53071            2.20
Whatcom........................................  WA                                        53073            2.40
Whitman........................................  WA                                        53075            2.20
Yakima.........................................  WA                                        53077            2.20
Adams..........................................  WI                                        55001            2.90
Ashland........................................  WI                                        55003            2.80
Barron.........................................  WI                                        55005            2.80
Bayfield.......................................  WI                                        55007            2.80
Brown..........................................  WI                                        55009            2.90
Buffalo........................................  WI                                        55011            2.80
Burnett........................................  WI                                        55013            2.80
Calumet........................................  WI                                        55015            2.90
Chippewa.......................................  WI                                        55017            2.80
Clark..........................................  WI                                        55019            2.80
Columbia.......................................  WI                                        55021            2.90
Crawford.......................................  WI                                        55023            2.90
Dane...........................................  WI                                        55025            2.90
Dodge..........................................  WI                                        55027            2.90
Door...........................................  WI                                        55029            2.90
Douglas........................................  WI                                        55031            2.80
Dunn...........................................  WI                                        55033            2.80
Eau Claire.....................................  WI                                        55035            2.80
Florence.......................................  WI                                        55037            2.80
Fond du Lac....................................  WI                                        55039            2.90
Forest.........................................  WI                                        55041            2.80
Grant..........................................  WI                                        55043            2.90
Green..........................................  WI                                        55045            2.90
Green Lake.....................................  WI                                        55047            2.90
Iowa...........................................  WI                                        55049            2.90
Iron...........................................  WI                                        55051            2.80
Jackson........................................  WI                                        55053            2.80
Jefferson......................................  WI                                        55055            2.90
Juneau.........................................  WI                                        55057            2.90
Kenosha........................................  WI                                        55059            3.10
Kewaunee.......................................  WI                                        55061            2.90
La Crosse......................................  WI                                        55063            2.90
Lafayette......................................  WI                                        55065            2.90
Langlade.......................................  WI                                        55067            2.90
Lincoln........................................  WI                                        55069            2.80
Manitowoc......................................  WI                                        55071            2.90
Marathon.......................................  WI                                        55073            2.90
Marinette......................................  WI                                        55075            2.90
Marquette......................................  WI                                        55077            2.90
Menominee......................................  WI                                        55078            2.90
Milwaukee......................................  WI                                        55079            3.10
Monroe.........................................  WI                                        55081            2.90
Oconto.........................................  WI                                        55083            2.90
Oneida.........................................  WI                                        55085            2.80
Outagamie......................................  WI                                        55087            2.90
Ozaukee........................................  WI                                        55089            3.10
Pepin..........................................  WI                                        55091            2.80
Pierce.........................................  WI                                        55093            2.80
Polk...........................................  WI                                        55095            2.80
Portage........................................  WI                                        55097            2.90
Price..........................................  WI                                        55099            2.80
Racine.........................................  WI                                        55101            3.10
Richland.......................................  WI                                        55103            2.90
Rock...........................................  WI                                        55105            2.90
Rusk...........................................  WI                                        55107            2.80
Sauk...........................................  WI                                        55111            2.90
Sawyer.........................................  WI                                        55113            2.80
Shawano........................................  WI                                        55115            2.90
Sheboygan......................................  WI                                        55117            2.90
St. Croix......................................  WI                                        55109            2.80
Taylor.........................................  WI                                        55119            2.80
Trempealeau....................................  WI                                        55121            2.80
Vernon.........................................  WI                                        55123            2.90
Vilas..........................................  WI                                        55125            2.80
Walworth.......................................  WI                                        55127            3.10
Washburn.......................................  WI                                        55129            2.80
Washington.....................................  WI                                        55131            2.90

[[Page 57683]]

 
Waukesha.......................................  WI                                        55133            2.90
Waupaca........................................  WI                                        55135            2.90
Waushara.......................................  WI                                        55137            2.90
Winnebago......................................  WI                                        55139            2.90
Wood...........................................  WI                                        55141            2.90
Barbour........................................  WV                                        54001            4.30
Berkeley.......................................  WV                                        54003            4.30
Boone..........................................  WV                                        54005            4.50
Braxton........................................  WV                                        54007            4.30
Brooke.........................................  WV                                        54009            4.00
Cabell.........................................  WV                                        54011            4.50
Calhoun........................................  WV                                        54013            4.30
Clay...........................................  WV                                        54015            4.50
Doddridge......................................  WV                                        54017            4.30
Fayette........................................  WV                                        54019            4.50
Gilmer.........................................  WV                                        54021            4.30
Grant..........................................  WV                                        54023            4.30
Greenbrier.....................................  WV                                        54025            4.50
Hampshire......................................  WV                                        54027            4.30
Hancock........................................  WV                                        54029            4.00
Hardy..........................................  WV                                        54031            4.30
Harrison.......................................  WV                                        54033            4.30
Jackson........................................  WV                                        54035            4.30
Jefferson......................................  WV                                        54037            4.30
Kanawha........................................  WV                                        54039            4.50
Lewis..........................................  WV                                        54041            4.30
Lincoln........................................  WV                                        54043            4.50
Logan..........................................  WV                                        54045            4.50
Marion.........................................  WV                                        54049            4.00
Marshall.......................................  WV                                        54051            4.00
Mason..........................................  WV                                        54053            4.30
McDowell.......................................  WV                                        54047            4.80
Mercer.........................................  WV                                        54055            4.80
Mineral........................................  WV                                        54057            4.10
Mingo..........................................  WV                                        54059            4.50
Monongalia.....................................  WV                                        54061            4.10
Monroe.........................................  WV                                        54063            4.80
Morgan.........................................  WV                                        54065            4.30
Nicholas.......................................  WV                                        54067            4.50
Ohio...........................................  WV                                        54069            4.00
Pendleton......................................  WV                                        54071            4.30
Pleasants......................................  WV                                        54073            4.00
Pocahontas.....................................  WV                                        54075            4.50
Preston........................................  WV                                        54077            4.10
Putnam.........................................  WV                                        54079            4.50
Raleigh........................................  WV                                        54081            4.50
Randolph.......................................  WV                                        54083            4.30
Ritchie........................................  WV                                        54085            4.30
Roane..........................................  WV                                        54087            4.30
Summers........................................  WV                                        54089            4.80
Taylor.........................................  WV                                        54091            4.30
Tucker.........................................  WV                                        54093            4.30
Tyler..........................................  WV                                        54095            4.00
Upshur.........................................  WV                                        54097            4.30
Wayne..........................................  WV                                        54099            4.50
Webster........................................  WV                                        54101            4.50
Wetzel.........................................  WV                                        54103            4.00
Wirt...........................................  WV                                        54105            4.30
Wood...........................................  WV                                        54107            4.00
Wyoming........................................  WV                                        54109            4.80
Albany.........................................  WY                                        56001            2.40
Big Horn.......................................  WY                                        56003            2.40
Campbell.......................................  WY                                        56005            2.40
Carbon.........................................  WY                                        56007            2.40
Converse.......................................  WY                                        56009            2.40
Crook..........................................  WY                                        56011            2.40
Fremont........................................  WY                                        56013            2.40
Goshen.........................................  WY                                        56015            2.40
Hot Springs....................................  WY                                        56017            2.40
Johnson........................................  WY                                        56019            2.40
Laramie........................................  WY                                        56021            2.50

[[Page 57684]]

 
Lincoln........................................  WY                                        56023            2.20
Natrona........................................  WY                                        56025            2.40
Niobrara.......................................  WY                                        56027            2.40
Park...........................................  WY                                        56029            2.20
Platte.........................................  WY                                        56031            2.40
Sheridan.......................................  WY                                        56033            2.40
Sublette.......................................  WY                                        56035            2.20
Sweetwater.....................................  WY                                        56037            2.40
Teton..........................................  WY                                        56039            2.20
Uinta..........................................  WY                                        56041            2.20
Washakie.......................................  WY                                        56043            2.40
Weston.........................................  WY                                        56045            2.40
----------------------------------------------------------------------------------------------------------------

0
5. Amend Sec.  1000.76 by removing the words ``and Sec.  1135.11 of 
this chapter'' wherever they appear and by revising and republishing 
paragraphs (a)(2) through (4) and paragraph (c) to read as follows:


Sec.  1000.76  Payments by a handler operating a partially regulated 
distributing plant.

* * * * *
    (a) * * *
    (2) For orders with multiple component pricing, compute a Class I 
differential price by subtracting Class III price from the current 
month's applicable Class I price. Multiply the pounds remaining after 
the computation in paragraph (a)(1)(iii) of this section by the amount 
by which the Class I differential price exceeds the producer price 
differential, both prices to be applicable at the location of the 
partially regulated distributing plant except that neither the adjusted 
Class I differential price nor the adjusted producer price differential 
shall be less than zero;
    (3) For orders with skim milk and butterfat pricing, multiply the 
remaining pounds by the amount by which the applicable Class I price 
exceeds the uniform price, both prices to be applicable at the location 
of the partially regulated distributing plant except that neither the 
adjusted Class I price nor the adjusted uniform price differential 
shall be less than the lowest announced class price; and
    (4) Unless the payment option described in paragraph (d) of this 
section is selected, add the amount obtained from multiplying the 
pounds of labeled reconstituted milk included in paragraph (a)(1)(iii) 
of this section by any positive difference between the applicable Class 
I price at the location of the partially regulated distributing plant 
(less $1.00 if the reconstituted milk is labeled as such) and the Class 
IV price.
* * * * *
    (c) The operator of a partially regulated distributing plant that 
is subject to marketwide pooling of returns under a milk classification 
and pricing program that is imposed under the authority of a State 
government shall pay on or before the 25th day after the end of the 
month (except as provided in Sec.  1000.90) to the market administrator 
for the producer-settlement fund an amount computed as follows: after 
completing the computations described in paragraphs (a)(1)(i) and (ii) 
of this section, determine the value of the remaining pounds of fluid 
milk products disposed of as route disposition in the marketing area by 
multiplying the hundredweight of such pounds by the amount, if greater 
than zero, that remains after subtracting the State program's class 
prices applicable to such products at the plant's location from the 
applicable Federal order Class I price at the location of the plant.
* * * * *

PART 1001--MILK IN THE NORTHEAST MARKETING AREA

0
6. The authority citation for part 1001 continues to read as follows:

    Authority: 7 U.S.C. 601-674, and 7253.

0
7. Amend Sec.  1001.60 by:
0
a. Revising the introductory paragraph;
0
b. Redesignating paragraph (i) as paragraph (j); and
0
c. Adding new paragraph (i).
    The revision and addition read as follows:


Sec.  1001.60  Handler's value of milk.

    For the purpose of computing a handler's obligation for producer 
milk, the market administrator shall determine for each month the value 
of milk of each handler with respect to each of the handler's pool 
plants and of each handler described in Sec.  1000.9(c) of this chapter 
with respect to milk that was not received at a pool plant by adding 
the amounts computed in paragraphs (a) through (i) of this section and 
subtracting from that total amount the value computed in paragraph (j) 
of this section. Unless otherwise specified, the skim milk, butterfat, 
and the combined pounds of skim milk and butterfat referred to in this 
section shall result from the steps set forth in Sec.  1000.44(a), (b), 
and (c) of this chapter, respectively, and the nonfat components of 
producer milk in each class shall be based upon the proportion of such 
components in producer skim milk. Receipts of nonfluid milk products 
that are distributed as labeled reconstituted milk for which payments 
are made to the producer-settlement fund of another Federal order under 
Sec.  1000.76(a)(4) or (d) of this chapter shall be excluded from 
pricing under this section.
* * * * *
    (i) Compute an adjustment for eligible Class I producer milk 
pursuant to Sec.  1000.43(e) of this chapter by multiplying the Class I 
skim milk price adjuster computed in Sec.  1000.50(r) of this chapter 
by the pounds of skim milk eligible in Class I.
* * * * *

PART 1005--MILK IN THE APPLACHIAN MARKETING AREA

0
8. The authority citation for part 1005 continues to read as follows:

    Authority: 7 U.S.C. 601-674, and 7253.

0
9. Amend Sec.  1005.51 by revising paragraph (a) and removing and 
reserving paragraph (b) to read as follows:


Sec.  1005.51  Class I differential, adjustments to Class I prices, and 
Class I price.

    (a) The Class I differential shall be the differential established 
for Mecklenburg County, North Carolina, which is reported in Sec.  
1000.52 of this chapter. The Class I price shall be the price computed 
pursuant to Sec.  1000.50(a) of

[[Page 57685]]

this chapter for Mecklenburg County, North Carolina.
    (b) [Reserved]
0
10. Amend Sec.  1005.60 by:
0
a. Revising the introductory paragraph and paragraph (a);
0
b. Removing paragraph (g);
0
c. Redesignating paragraph (f) as paragraph (g); and
0
d. Adding new paragraph (f).
    The revisions and addition read as follows:


Sec.  1005.60  Handler's value of milk.

    For the purpose of computing a handler's obligation for producer 
milk, the market administrator shall determine for each month the value 
of milk of each handler with respect to each of the handler's pool 
plants and of each handler described in Sec.  1000.9(c) of this chapter 
with respect to milk that was not received at a pool plant by adding 
the amounts computed in paragraphs (a) through (f) of this section and 
subtracting from that total amount the value computed in paragraph (g) 
of this section. Receipts of nonfluid milk products that are 
distributed as labeled reconstituted milk for which payments are made 
to the producer-settlement fund of another Federal order under Sec.  
1000.76(a)(4) or (d) of this chapter shall be excluded from pricing 
under this section.
    (a) Multiply the pounds of skim milk and butterfat in producer milk 
that were classified in each class pursuant to Sec.  1000.44(c) of this 
chapter by the applicable skim milk and butterfat prices, and add the 
resulting amounts;
* * * * *
    (f) Compute an adjustment for eligible Class I producer milk 
pursuant to Sec.  1000.43(e) of this chapter by multiplying the Class I 
skim milk price adjuster computed in Sec.  1000.50(r) of this chapter 
by the pounds of skim milk eligible in Class I.
* * * * *

PART 1006--MILK IN THE FLORIDA MARKETING AREA

0
11. The authority citation for part 1006 continues to read as follows:

    Authority: 7 U.S.C. 601-674, and 7253.

0
12. Amend Sec.  1006.51 by revising paragraph (a), removing and 
reserving paragraph (b), and removing paragraph (c) to read as follows:


Sec.  1006.51  Class I differential, adjustments to Class I prices, and 
Class I price.

    (a) The Class I differential shall be the differential established 
for Hillsborough County, Florida, which is reported in Sec.  1000.52 of 
this chapter. The Class I price shall be the price computed pursuant to 
Sec.  1000.50(a) of this chapter for Hillsborough County, Florida.
    (b) [Reserved]
0
13. Amend Sec.  1006.60 by:
0
a. Revising the introductory paragraph and paragraph (a);
0
b. Removing paragraphs (g) through (i);
0
c. Redesignating paragraph (f) as paragraph (g); and
0
d. Adding new paragraph (f).
    The revisions and addition read as follows:


Sec.  1006.60  Handler's value of milk.

    For the purpose of computing a handler's obligation for producer 
milk, the market administrator shall determine for each month the value 
of milk of each handler with respect to each of the handler's pool 
plants and of each handler described in Sec.  1000.9(c) of this chapter 
with respect to milk that was not received at a pool plant by adding 
the amounts computed in paragraphs (a) through (f) of this section and 
subtracting from that total amount the value computed in paragraph (g) 
of this section. Receipts of nonfluid milk products that are 
distributed as labeled reconstituted milk for which payments are made 
to the producer-settlement fund of another Federal order under Sec.  
1000.76(a)(4) or (d) of this chapter shall be excluded from pricing 
under this section.
    (a) Multiply the pounds of skim milk and butterfat in producer milk 
that were classified in each class pursuant to Sec.  1000.44(c) of this 
chapter by the applicable skim milk and butterfat prices, and add the 
resulting amounts;
* * * * *
    (f) Compute an adjustment for eligible Class I producer milk 
pursuant to Sec.  1000.43(e) of this chapter by multiplying the Class I 
skim milk price adjuster computed in Sec.  1000.50(r) of this chapter 
by the pounds of skim milk eligible in Class I.
* * * * *

PART 1007--MILK IN THE SOUTHEAST MARKETING AREA

0
14. The authority citation for part 1007 continues to read as follows:

    Authority: 7 U.S.C. 601-674, and 7253.

0
15. Amend Sec.  1007.51 by revising paragraph (a) and removing and 
reserving paragraph (b) to read as follows:


Sec.  1007.51  Class I differential, adjustments to Class I prices, and 
Class I price.

    (a) The Class I differential shall be the differential established 
for Fulton County, Georgia, which is reported in Sec.  1000.52 of this 
chapter. The Class I price shall be the price computed pursuant to 
Sec.  1000.50(a) of this chapter for Fulton County, Georgia.
    (b) [Reserved]
0
16. Amend Sec.  1007.60 by:
0
a. Revising the introductory paragraph and paragraph (a);
0
b. Removing paragraph (g);
0
c. Redesignating paragraph (f) as paragraph (g); and
0
d. Adding new paragraph (f).
    The revisions and addition read as follows:


Sec.  1007.60  Handler's value of milk.

    For the purpose of computing a handler's obligation for producer 
milk, the market administrator shall determine for each month the value 
of milk of each handler with respect to each of the handler's pool 
plants and of each handler described in Sec.  1000.9(c) of this chapter 
with respect to milk that was not received at a pool plant by adding 
the amounts computed in paragraphs (a) through (f) of this section and 
subtracting from that total amount the value computed in paragraph (g) 
of this section. Receipts of nonfluid milk products that are 
distributed as labeled reconstituted milk for which payments are made 
to the producer-settlement fund of another Federal order under Sec.  
1000.76(a)(4) or (d) of this chapter shall be excluded from pricing 
under this section.
    (a) Multiply the pounds of skim milk and butterfat in producer milk 
that were classified in each class pursuant to Sec.  1000.44(c) of this 
chapter by the applicable skim milk and butterfat prices, and add the 
resulting amounts;
* * * * *
    (f) Compute an adjustment for eligible Class I producer milk 
pursuant to Sec.  1000.43(e) of this chapter by multiplying the Class I 
skim milk price adjuster computed in Sec.  1000.50(r) of this chapter 
by the pounds of skim milk eligible in Class I.
* * * * *

PART 1030--MILK IN THE UPPER MIDWEST MARKETING AREA

0
17. The authority citation for part 1030 continues to read as follows:

    Authority: 7 U.S.C. 601-674, and 7253.

0
18. Amend Sec.  1030.60 by:
0
a. Revising the introductory paragraph;
0
b. Redesignating paragraphs (j) and (k) as paragraphs (k) and (l); and
0
c. Adding new paragraph (j).
    The revision and addition read as follows:


Sec.  1030.60  Handler's value of milk.

    For the purpose of computing a handler's obligation for producer 
milk,

[[Page 57686]]

the market administrator shall determine for each month the value of 
milk of each handler with respect to each of the handler's pool plants 
and of each handler described in Sec.  1000.9(c) of this chapter with 
respect to milk that was not received at a pool plant by adding the 
amounts computed in paragraphs (a) through (j) of this section and 
subtracting from that total amount the values computed in paragraphs 
(k) and (l) of this section. Unless otherwise specified, the skim milk, 
butterfat, and the combined pounds of skim milk and butterfat referred 
to in this section shall result from the steps set forth in Sec.  
1000.44(a), (b), and (c) of this chapter, respectively, and the nonfat 
components of producer milk in each class shall be based upon the 
proportion of such components in producer skim milk. Receipts of 
nonfluid milk products that are distributed as labeled reconstituted 
milk for which payments are made to the producer-settlement fund of 
another Federal order under Sec.  1000.76(a)(4) or (d) of this chapter 
shall be excluded from pricing under this section.
* * * * *
    (j) Compute an adjustment for eligible Class I producer milk 
pursuant to Sec.  1000.43(e) of this chapter by multiplying the Class I 
skim milk price adjuster computed in Sec.  1000.50(r) of this chapter 
by the pounds of skim milk eligible in Class I.
* * * * *

PART 1032--MILK IN THE CENTRAL MARKETING AREA

0
19. The authority citation for part 1032 continues to read as follows:

    Authority: 7 U.S.C. 601-674, and 7253.

0
20. Amend Sec.  1032.60 by:
0
a. Revising the introductory paragraph;
0
b. Redesignating paragraph (j) as paragraph (k); and
0
c. Adding new paragraph (j).
    The revision and addition read as follows:


Sec.  1032.60  Handler's value of milk.

    For the purpose of computing a handler's obligation for producer 
milk, the market administrator shall determine for each month the value 
of milk of each handler with respect to each of the handler's pool 
plants and of each handler described in Sec.  1000.9(c) of this chapter 
with respect to milk that was not received at a pool plant by adding 
the amounts computed in paragraphs (a) through (j) of this section and 
subtracting from that total amount the value computed in paragraph (k) 
of this section. Unless otherwise specified, the skim milk, butterfat, 
and the combined pounds of skim milk and butterfat referred to in this 
section shall result from the steps set forth in Sec.  1000.44(a), (b), 
and (c) of this chapter, respectively, and the nonfat components of 
producer milk in each class shall be based upon the proportion of such 
components in producer skim milk. Receipts of nonfluid milk products 
that are distributed as labeled reconstituted milk for which payments 
are made to the producer-settlement fund of another Federal order under 
Sec.  1000.76(a)(4) or (d) of this chapter shall be excluded from 
pricing under this section.
* * * * *
    (j) Compute an adjustment for eligible Class I producer milk 
pursuant to Sec.  1000.43(e) of this chapter by multiplying the Class I 
skim milk price adjuster computed in Sec.  1000.50(r) of this chapter 
by the pounds of skim milk eligible in Class I.
* * * * *

PART 1033--MILK IN THE MIDEAST MARKETING AREA

0
21. The authority citation for part 1033 continues to read as follows:

    Authority: 7 U.S.C. 601-674, and 7253.

0
22. Amend Sec.  1033.60 by:
0
a. Revising the introductory paragraph;
0
b. Redesignating paragraph (j) as paragraph (k); and
0
c. Adding new paragraph (j).
    The revision and addition read as follows:


Sec.  1033.60  Handler's value of milk.

    For the purpose of computing a handler's obligation for producer 
milk, the market administrator shall determine for each month the value 
of milk of each handler with respect to each of the handler's pool 
plants and of each handler described in Sec.  1000.9(c) of this chapter 
with respect to milk that was not received at a pool plant by adding 
the amounts computed in paragraphs (a) through (j) of this section and 
subtracting from that total amount the value computed in paragraph (k) 
of this section. Unless otherwise specified, the skim milk, butterfat, 
and the combined pounds of skim milk and butterfat referred to in this 
section shall result from the steps set forth in Sec.  1000.44(a), (b), 
and (c) of this chapter, respectively, and the nonfat components of 
producer milk in each class shall be based upon the proportion of such 
components in producer skim milk. Receipts of nonfluid milk products 
that are distributed as labeled reconstituted milk for which payments 
are made to the producer-settlement fund of another Federal order under 
Sec.  1000.76(a)(4) or (d) of this chapter shall be excluded from 
pricing under this section.
* * * * *
    (j) Compute an adjustment for eligible Class I producer milk 
pursuant to Sec.  1000.43(e) of this chapter by multiplying the Class I 
skim milk price adjuster computed in Sec.  1000.50(r) of this chapter 
by the pounds of skim milk eligible in Class I.
* * * * *

PART 1051--MILK IN THE CALIFORNIA MARKETING AREA

0
23. The authority citation for part 1051 continues to read as follows:

    Authority: 7 U.S.C. 601-674, and 7253.

0
24. Amend Sec.  1051.60 by:
0
a. Revising the introductory paragraph;
0
b. Redesignating paragraph (i) as paragraph (j); and
0
c. Adding new paragraph (i).
    The revision and addition read as follows:


Sec.  1051.60  Handler's value of milk.

    For the purpose of computing a handler's obligation for producer 
milk, the market administrator shall determine for each month the value 
of milk of each handler with respect to each of the handler's pool 
plants and of each handler described in Sec.  1000.9(c) of this chapter 
with respect to milk that was not received at a pool plant by adding 
the amounts computed in paragraphs (a) through (i) of this section and 
subtracting from that total amount the value computed in paragraph (j) 
of this section. Unless otherwise specified, the skim milk, butterfat, 
and the combined pounds of skim milk and butterfat referred to in this 
section shall result from the steps set forth in Sec.  1000.44(a), (b), 
and (c) of this chapter, respectively, and the nonfat components of 
producer milk in each class shall be based upon the proportion of such 
components in producer skim milk. Receipts of nonfluid milk products 
that are distributed as labeled reconstituted milk for which payments 
are made to the producer-settlement fund of another Federal order under 
Sec.  1000.76(a)(4) or (d) of this chapter shall be excluded from 
pricing under this section.
* * * * *
    (i) Compute an adjustment for eligible Class I producer milk 
pursuant to Sec.  1000.43(e) of this chapter by multiplying the Class I 
skim milk price adjuster computed in Sec.  1000.50(r) of this

[[Page 57687]]

chapter by the pounds of skim milk eligible in Class I.
* * * * *

PART 1124--MILK IN THE PACIFIC NORTHWEST MARKETING AREA

0
25. The authority citation for part 1124 continues to read as follows:

    Authority: 7 U.S.C. 601-674, and 7253.

0
26. Amend Sec.  1124.60 by:
0
a. Revising the introductory paragraph;
0
b. Redesignating paragraph (i) as paragraph (j); and
0
c. Adding new paragraph (i).
    The revision and addition read as follows:


Sec.  1124.60  Handler's value of milk.

    For the purpose of computing a handler's obligation for producer 
milk, the market administrator shall determine for each month the value 
of milk of each handler with respect to each of the handler's pool 
plants and of each handler described in Sec.  1000.9(c) of this chapter 
with respect to milk that was not received at a pool plant by adding 
the amounts computed in paragraphs (a) through (i) of this section and 
subtracting from that total amount the value computed in paragraph (j) 
of this section. Unless otherwise specified, the skim milk, butterfat, 
and the combined pounds of skim milk and butterfat referred to in this 
section shall result from the steps set forth in Sec.  1000.44(a), (b), 
and (c) of this chapter, respectively, and the nonfat components of 
producer milk in each class shall be based upon the proportion of such 
components in producer skim milk. Receipts of nonfluid milk products 
that are distributed as labeled reconstituted milk for which payments 
are made to the producer-settlement fund of another Federal order under 
Sec.  1000.76(a)(4) or (d) of this chapter shall be excluded from 
pricing under this section.
* * * * *
    (i) Compute an adjustment for eligible Class I producer milk 
pursuant to Sec.  1000.43(e) of this chapter by multiplying the Class I 
skim milk price adjuster computed in Sec.  1000.50(r) of this chapter 
by the pounds of skim milk eligible in Class I.
* * * * *

PART 1126--MILK IN THE SOUTHWEST MARKETING AREA

0
27. The authority citation for part 1126 continues to read as follows:

    Authority: 7 U.S.C. 601-674, and 7253.

0
28. Amend Sec.  1126.60 by:
0
a. Revising the introductory paragraph;
0
b. Redesignating paragraph (j) as paragraph (k); and
0
c. Adding new paragraph (j).
    The revision and addition read as follows:


Sec.  1126.60  Handler's value of milk.

    For the purpose of computing a handler's obligation for producer 
milk, the market administrator shall determine for each month the value 
of milk of each handler with respect to each of the handler's pool 
plants and of each handler described in Sec.  1000.9(c) of this chapter 
with respect to milk that was not received at a pool plant by adding 
the amounts computed in paragraphs (a) through (j) of this section and 
subtracting from that total amount the value computed in paragraph (k) 
of this section. Unless otherwise specified, the skim milk, butterfat, 
and the combined pounds of skim milk and butterfat referred to in this 
section shall result from the steps set forth in Sec.  1000.44(a), (b), 
and (c) of this chapter, respectively, and the nonfat components of 
producer milk in each class shall be based upon the proportion of such 
components in producer skim milk. Receipts of nonfluid milk products 
that are distributed as labeled reconstituted milk for which payments 
are made to the producer-settlement fund of another Federal order under 
Sec.  1000.76(a)(4) or (d) of this chapter shall be excluded from 
pricing under this section.
* * * * *
    (j) Compute an adjustment for eligible Class I producer milk 
pursuant to Sec.  1000.43(e) of this chapter by multiplying the Class I 
skim milk price adjuster computed in Sec.  1000.50(r) of this chapter 
by the pounds of skim milk eligible in Class I.
* * * * *

PART 1131--MILK IN THE ARIZONA MARKETING AREA

0
29. The authority citation for part 1131 continues to read as follows:

    Authority: 7 U.S.C. 601-674, and 7253.

0
30. Amend Sec.  1131.60 by:
0
a. Revising the introductory paragraph;
0
b. Redesignating paragraph (f) as paragraph (g); and
0
c. Adding new paragraph (f).
    The revision and addition read as follows:


Sec.  1131.60  Handler's value of milk.

    For the purpose of computing a handler's obligation for producer 
milk, the market administrator shall determine for each month the value 
of milk of each handler with respect to each of the handler's pool 
plants and of each handler described in Sec.  1000.9(c) of this chapter 
with respect to milk that was not received at a pool plant by adding 
the amounts computed in paragraphs (a) through (f) of this section and 
subtracting from that total amount the value computed in paragraph (g) 
of this section. Receipts of nonfluid milk products that are 
distributed as labeled reconstituted milk for which payments are made 
to the producer-settlement fund of another Federal order under Sec.  
1000.76(a)(4) or (d) of this chapter shall be excluded from pricing 
under this section.
* * * * *
    (f) Compute an adjustment for eligible Class I producer milk 
pursuant to Sec.  1000.43(e) of this chapter by multiplying the Class I 
skim milk price adjuster computed in Sec.  1000.50(r) of this chapter 
by the pounds of skim milk eligible in Class I.
* * * * *

Erin Morris,
Associate Administrator, Agricultural Marketing Service.
[FR Doc. 2024-14769 Filed 7-12-24; 8:45 am]
BILLING CODE 3410-02-P


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