Proposed Fair Market Rents for the Housing Choice Voucher Program and Moderate Rehabilitation Single Room Occupancy Program Fiscal Year 2012, 52058-52129 [2011-20932]
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52058
Federal Register / Vol. 76, No. 161 / Friday, August 19, 2011 / Notices
Department of Housing and Urban
Development
[Docket No. FR–5567–N–01]
Proposed Fair Market Rents for the
Housing Choice Voucher Program and
Moderate Rehabilitation Single Room
Occupancy Program Fiscal Year 2012
Office of the Assistant
Secretary for Policy Development and
Research, HUD.
ACTION: Notice of Proposed Fiscal Year
(FY) 2012 Fair Market Rents (FMRs).
AGENCY:
Section 8(c)(1) of the United
States Housing Act of 1937 (USHA)
requires the Secretary to publish FMRs
periodically, but not less than annually,
adjusted to be effective on October 1 of
each year. The primary uses of FMRs are
to determine payment standards for the
Housing Choice Voucher (HCV)
program, to determine initial renewal
rents for some expiring project-based
Section 8 contracts, to determine initial
rents for housing assistance payment
contracts in the Moderate Rehabilitation
Single Room Occupancy program, and
to serve as rent ceilings in the HOME
program. Today’s notice provides
proposed FY 2012 FMRs for all areas
that reflect the estimated 40th and 50th
percentile rent levels trended to April 1,
2012. The FY 2012 FMRs are rebenchmarked using five-year, 2005–
2009 data collected by the American
Community Survey (ACS). These data
are updated using one-year ACS data in
areas where statistically valid one-year
ACS data is available. The Consumer
Price Index (CPI) rent and utility
indexes are used to further update the
data from 2009 to the end of 2010. HUD
continues to use ACS data in different
ways according to how many twobedroom standard-quality and recentmover sample cases are available in the
FMR area or its Core-Based Statistical
Area (CBSA).
The proposed FY 2012 FMR areas are
based on current Office of Management
and Budget (OMB) metropolitan area
definitions and include HUD
modifications that were first used in the
determination of FY 2006 FMR areas.
Changes to the OMB metropolitan area
definitions through December 2009 are
incorporated. The bedroom ratios
developed using 2000 Census data
continue to be used and state
minimums, calculated each year from
the estimated FMRs, continue to be
applied.
This notice also includes HUD’s
responses to comments received on the
March 9, 2011, (76 FR 12985), Federal
Register notice (‘‘Trend Notice’’)
seeking public comment regarding the
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SUMMARY:
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manner in which HUD calculates a
trend factor, the time period the trend
factor is applied in the FMR estimation
process and related issues.
HUD received four applications to
participate in the Small Area FMR
demonstration program. These
applications are being reviewed and
information on the demonstration
program will be made available in a
notice published at a later date.
Finally, in an effort to serve HUD’s
external clients who use HUD’s
estimates of Area Median Family
Income (MFI) and their associated
Income Limits (IL), HUD is requesting
comments on a proposal to establish a
certain date for publishing these
parameters.
DATES: Comment Due Date: September
19, 2011.
ADDRESSES: Interested persons are
invited to submit comments regarding
HUD’s estimates of the FMRs and/or
HUD’s proposed timeline for publishing
MFIs and ILs, as published in this
notice, to the Office of General Counsel,
Rules Docket Clerk, Department of
Housing and Urban Development, 451
Seventh Street, SW., Room 10276,
Washington, DC 20410–0001.
Communications should refer to the
above docket number and title and
should contain the information
specified in the ‘‘Request for
Comments’’ section.
Submission of Hard Copy Comments.
To ensure that the information is fully
considered by all of the reviewers, each
commenter who is submitting hard copy
comments, by mail or hand delivery, is
requested to submit two copies of its
comments to the address above, one
addressed to the attention of the Rules
Docket Clerk and the other addressed to
the attention of Economic and Market
Analysis Division staff in the
appropriate HUD field office. Due to
security measures at all federal agencies,
submission of comments by mail often
results in delayed delivery. To ensure
timely receipt of comments, HUD
recommends that any comments
submitted by mail be submitted at least
two weeks in advance of the public
comment deadline.
Electronic Submission of Comments.
Interested persons may submit
comments electronically through the
Federal eRulemaking Portal at https://
www.regulations.gov. HUD strongly
encourages commenters to submit
comments electronically. Electronic
submission of comments allows the
commenter maximum time to prepare
and submit a comment, ensures timely
receipt by HUD, and enables HUD to
make them immediately available to the
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public. Comments submitted
electronically through the https://
www.regulations.gov Web site can be
viewed by other commenters and
interested members of the public.
Commenters should follow instructions
provided on that site to submit
comments electronically.
No Facsimile Comments. Facsimile
(Fax) comments are not acceptable.
Public Inspection of Comments. All
comments and communications
submitted to HUD will be available,
without charge, for public inspection
and copying between 8 a.m. and 5 p.m.
weekdays at the above address. Due to
security measures at the HUD
Headquarters building, an advance
appointment to review the public
comments must be scheduled by calling
the Regulations Division at 202–708–
3055 (this is not a toll-free number).
Copies of all comments submitted are
available for inspection and
downloading at https://
www.regulations.gov.
For
technical information on the
methodology used to develop FMRs or
a listing of all FMRs, please call the
HUD USER information line at 800–
245–2691 or access the information on
the HUD Web site https://
www.huduser.org/portal/datasets/
fmr.html. FMRs are listed at the 40th or
50th percentile in Schedule B. For
informational purposes, 40th percentile
recent-mover rents for the areas with
50th percentile FMRs will be provided
in the HUD FY 2012 FMR
documentation system at https://
www.huduser.org/portal/datasets/fmr/
fmrs/docsys.html&data=fmr12 and 50th
percentile rents for all FMR areas will
be published at https://
www.huduser.org/portal/datasets/
50per.html after publication of final FY
2012 FMRs.
Questions related to use of FMRs or
voucher payment standards should be
directed to the respective local HUD
program staff. Questions on how to
conduct FMR surveys or concerning
further methodological explanations
may be addressed to Marie L. Lihn or
Peter B. Kahn, Economic and Market
Analysis Division, Office of Economic
Affairs, Office of Policy Development
and Research, telephone 202–708–0590.
Persons with hearing or speech
impairments may access this number
through TTY by calling the toll-free
Federal Relay Service at 800–877–8339.
(Other than the HUD USER information
line and TDD numbers, telephone
numbers are not toll-free.)
FOR FURTHER INFORMATION CONTACT:
SUPPLEMENTARY INFORMATION
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Federal Register / Vol. 76, No. 161 / Friday, August 19, 2011 / Notices
I. Background
Section 8 of the USHA (42 U.S.C.
1437f) authorizes housing assistance to
aid lower-income families in renting
safe and decent housing. Housing
assistance payments are limited by
FMRs established by HUD for different
geographic areas. In the HCV program,
the FMR is the basis for determining the
‘‘payment standard amount’’ used to
calculate the maximum monthly
subsidy for an assisted family (see 24
CFR 982.503). In general, the FMR for
an area is the amount that would be
needed to pay the gross rent (shelter
rent plus utilities) of privately owned,
decent, and safe rental housing of a
modest (non-luxury) nature with
suitable amenities. In addition, all rents
subsidized under the HCV program
must meet reasonable rent standards.
HUD’s regulations at 24 CFR 888.113
permit it to establish 50th percentile
FMRs for certain areas.
Electronic Data Availability: This
Federal Register notice is available
electronically from the HUD User page
at https://www.huduser.org/datasets/
fmr.html. Federal Register notices also
are available electronically from https://
www.gpoaccess.gov/fr/, the
U.S. Government Printing Office Web
site. Complete documentation of the
methodology and data used to compute
each area’s proposed FY 2012 FMRs is
available at https://www.huduser.org/
portal/datasets/fmr/fmrs/
docsys.html&data=fmr12. Proposed FY
2012 FMRs are available in a variety of
electronic formats at https://
www.huduser.org/portal/datasets/
fmr.html. FMRs may be accessed in PDF
format as well as in Microsoft Excel.
Small Area FMRs based on Proposed FY
2012 Metropolitan Area Rents are
available in Microsoft Excel format at
the same web address. Please note that
these Small Area FMRs are for reference
only, and will only be used by PHAs
participating in the Small Area FMR
demonstration.
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II. Procedures for the Development of
FMRs
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FY 2011 50TH-PERCENTILE FMR
AREAS RE-EVALUATED FOR ELIGIBILITY EVALUATION IN FY 2012
Albuquerque, NM
MSA.
Denver-Aurora, CO
MSA.
Houston-BaytownSugar Land, TX
HMFA.
Milwaukee-WaukeshaWest Allis, WI MSA.
Richmond, VA HMFA
Chicago-JolietNaperville, IL
HMFA 2.
Hartford-West Hartford-East Hartford,
CT HMFA.
Kansas City, MO–KS,
HMFA.
North Port-Bradenton-Sarasota,
FL MSA.
Tacoma, WA HMFA.
2 HMFA stands for HUD Metropolitan FMR
Area.
Section 8(c) of the USHA requires the
Secretary of HUD to publish FMRs
periodically, but not less frequently
than annually. Section 8(c) states, in
part, as follows:
Proposed fair market rentals for an
area shall be published in the Federal
Register with reasonable time for public
comment and shall become effective
upon the date of publication in final
form in the Federal Register. Each fair
market rental in effect under this
subsection shall be adjusted to be
effective on October 1 of each year to
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reflect changes, based on the most
recent available data trended so the
rentals will be current for the year to
which they apply, of rents for existing
or newly constructed rental dwelling
units, as the case may be, of various
sizes and types in this section.
HUD’s regulations at 24 CFR part 888
provide that HUD will develop
proposed FMRs, publish them for public
comment, provide a public comment
period of at least 30 days, analyze the
comments, and publish final FMRs. (See
24 CFR 888.115.)
In addition, HUD’s regulations at 24
CFR 888.113 set out procedures for HUD
to assess whether areas are eligible for
FMRs at the 50th percentile. Minimally
qualified areas 1 are reviewed each year
unless not qualified to be reviewed.
Areas are not qualified to be reviewed
if they have been made a 50th-percentile
area within the last three years or have
lost 50th-percentile status for failure to
de-concentrate within the last three
years.
In FY 2011 there are 18 areas using
50th-percentile FMRs. Of these 18 areas,
10 of them have completed three years
of program participation and are due for
re-evaluation. The following table lists
these 10 areas.
Only three of the 10 areas up for reevaluation will continue to be 50thpercentile FMR areas:
1 As defined in 24 CFR 888.113(c), a minimally
qualified area is an area with at least 100 census
tract where 70 percent or fewer of the census tracts
with at least 10 two bedroom rental units are census
tracts in which at least 30 percent of the two
bedroom rental units have gross rents at or below
the two bedroom FMR set at the 40th percentile
rent. This is evaluated with 2000 Census tract data,
while we are awaiting 2010 ACS data to be
aggregated using 2010 Census tract definitions.
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FY 2011 50TH-PERCENTILE FMR
AREAS THAT CONTINUE AS 50THPERCENTILE AREAS, NEXT EVALUATION IN FY 2015
Hartford-West Hartford-East Hartford,
CT HMFA.
North Port-BradentonSarasota, FL MSA.
Houston-BaytownSugar Land, TX
HMFA.
Two areas ‘‘graduated’’ from the 50thpercentile FMR program. This means
that the concentration of HCV tenants is
below what is required to be eligible for
a 50th-percentile FMR. These two areas
may be evaluated annually and may
return to the program:
FY 2011 50TH-PERCENTILE FMR
AREAS THAT ‘‘GRADUATE,’’ EVALUATED ANNUALLY
Milwaukee-WaukeshaWest Allis, WI MSA.
Richmond, VA
HMFA.
The remaining five areas failed to
deconcentrate and will not be eligible
for evaluation for three years, until the
FY 2015 FMRs are evaluated:
FY 2011 50TH-PERCENTILE FMR
AREAS
THAT
FAILED
TO
DECONCENTRATE, ELIGIBLE FOR
EVALUATION IN FY 2015
Albuquerque, NM
MSA.
Denver-Aurora, CO
MSA.
Tacoma, WA HMFA.
Chicago-JolietNaperville, IL
HMFA.
Kansas City, MO–KS,
HMFA.
Of the remaining eight 50th-percentile
FMR areas that were not eligible for
review, seven will complete three years
in the program and be reviewed for the
FY 2013 FMRs, as shown below:
FY 2012 CONTINUING 50TH-PERCENTILE FMR AREAS SLATED FOR
EVALUATION IN FY 2013
Baltimore-Towson,
MD MSA.
Grand Rapids-Wyoming, MI HMFA.
Philadelphia-CamdenWilmington, PA–
NJ–DE–MD MSA.
Fort Lauderdale, FL
HMFA.
New Haven-Meriden,
CT HMFA.
Washington-Arlington-Alexandria,
DC–VA–MD
HMFA.
West Palm BeachBoca Raton, FL
HMFA.
The eighth FY 2011 area, BergenPassaic, NJ HMFA, was granted
authorization to use 50th-percentile
FMRs in FY 2011. Therefore, under
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current regulations, Bergen-Passaic, NJ
HMFA, will continue in the 50th
percentile program for FY 2012 and will
be evaluated when the FY 2014 FMRs
are calculated.
There will be 10 additional 50thpercentile FMR areas, one that is new to
the program, Sacramento—ArdenArcade—Roseville, CA HMFA. The
other 9 areas, as listed below, all failed
to deconcentrate when evaluated for the
FY 2009 FMRs, but have been reinstated
as 50th-percentile FMRs:
FY 2012 50TH-PERCENTILE FMR
AREAS REINSTATED EVALUATION IN
FY 2015
Austin-Round RockSan Marcos, TX
MSA.
Honolulu, HI MSA ......
Orange County, CA
HMFA.
Riverside-San
Bernardino-Ontario,
CA HMFA.
Virginia Beach-Norfolk-Newport News,
VA–NC MSA.
Fort Worth-Arlington,
TX HMFA.
Las Vegas-Paradise,
NV MSA.
Phoenix-Mesa-Glendale, AZ MSA.
Tucson, AZ MSA.
In summary, there will be 21 50thpercentile FMR areas in FY 2012. These
areas are indicated by an asterisk in
Schedule B, where all FMRs are listed
by state.
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III. FMR Methodology
This section provides a brief overview
of how the FY 2012 FMRs are
computed. For complete information on
how FMR areas are determined, and on
how each area’s FMRs are derived, see
the online documentation at: https://
www.huduser.org/portal/datasets/fmr/
fmrs/docsys.html&data=fmr12.
The proposed FY 2012 FMRs are
based on current OMB metropolitan
area definitions and standards that were
first used in the FY 2006 FMRs. OMB
changes to the metropolitan area
definitions through December 2009 are
incorporated. There have been no area
definition changes published by OMB
since the publication of the FY 2011
FMRs; therefore, the FY 2012 area
definitions are the same as those used
in FY 2011.
A. Base Year Rents
The U.S. Census Bureau released
standard tabulations of 5-year ACS data
collected between 2005 through 2009 in
December of 2010. This is the first time
that updated data are available for all
FMR areas and their component
geographies since the release of the 2000
Decennial Census data (previous ACS
releases only covered areas with 20,000
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or more in population). Because of this
new data availability, HUD has the
ability to estimate new base rents based
on the 5-year ACS data.
FMRs are typically based on gross
rents for recent movers (those who have
moved into their current residence in
the last 24 months). FMRs prior to FY
2012 were calculated based on recent
mover gross rent estimates from the
2000 Census or from more recent HUD
commissioned surveys. However, due to
the way the 5-year data are constructed,
the notion of recent mover is a murky
concept. The 5-year data aggregates all
survey data collected between January
2005 and December 2009 for a given
area. Dollar values such as gross rents
are transformed from the time period in
which they were collected to an overall
2009 value using the national CPI.
Attempting to limit the 5-year data to
those who have moved in the last 24
months severely limits the usefulness of
the 5-year data. Consequently, all areas
are assigned as a base rent the estimated
two-bedroom standard quality 5-year
gross rent from the ACS.3 Because
HUD’s regulations mandate that FMRs
must be published as recent mover gross
rents, HUD has created a recent mover
bonus factor to apply to the standard
quality base rents assigned from the 5year ACS data. The recent mover bonus
is described below.
Local area rent surveys conducted in
2010 by HUD or PHAs are used instead
of ACS-base rents when the survey
results are statistically different from the
ACS based rents. The surveys for
Williamsport, PA, MSA and Pike
County, HMFA were evaluated and are
being used in place of the 2009 ACS
data. A survey conducted in 2010 for
the county group, Bradford-SullivanTioga, PA, was also evaluated, but there
was no statistical difference from the
2009 ACS data, updated to 2010.
for the same area.4 HUD then computes
a z-score to determine if the 5-year
standard quality rent and the 1-year
recent mover rent are statistically
different.5 If the two rents have a
statistically significant difference, the
recent mover bonus factor is set at the
difference between the state nonmetropolitan 1-year recent mover rent
and the state non-metropolitan 5-year
standard quality rent expressed as a
percentage of the state non-metropolitan
5-year standard quality rent. If the two
rents are not statistically different, the
recent mover bonus is set to 1.0.
For metropolitan areas, the recent
mover bonus is calculated in a similar
fashion. HUD selects the smallest
geographic area which encompasses the
metropolitan area in question that has at
least 100 recent mover observations to
use in the calculation of the recent
mover bonus factor. For HUD-defined
subareas of OMB defined metropolitan
areas, this means that the recent mover
bonus factor may be based on the recent
mover data for the subarea, the entire
metropolitan area, the metropolitan
portions of the state, or finally the entire
state depending on which geographic
level has 100 or more recent mover
observations.6 Once the area with 100 or
more recent mover cases has been
determined, HUD calculates a z-score
comparing the 1-year recent mover twobedroom gross rent with the 5-year
standard quality two-bedroom gross rent
for the recent mover bonus area. If the
two rents are statistically different, HUD
sets the recent mover bonus for the FMR
area as the percentage change between
the two rents for the recent mover bonus
area. If the difference in rents is not
statistically different, the recent mover
bonus factor for the FMR area is set to
1.
For FMR areas without 100 recent
mover rents, a recent mover bonus is
B. Recent Mover Bonus Factor
4 HUD ensures that the recent mover estimate for
each non-metropolitan portion of the state has at
least 100 ACS sample observations. If any state nonmetropolitan recent mover rent is based on fewer
than 100 observations, the recent mover factor
would be calculated based on the 1-year recent
mover data and 5-year standard quality data for the
entire state.
5 The change is considered statistically significant
if Z is greater than 1.645 where Z is equal to the
change between the estimate for the 1-year data and
the 5-year estimate, over the square root of the sum
of the squared standard error for the 1-year estimate
and the squared standard error of the 5-year
estimate.
6 For metropolitan areas that cross state
boundaries, and where there are not 100 2-bedroom
recent mover observations, HUD uses the weighted
average update factors for the encompassing state
metropolitan areas. HUD performs the Z-score test
for statistical difference between the 1-year recentmover rent and 5-year standard-quality rent
separately for each state metropolitan part prior to
computing the weighted average update factor.
Following the assignment of the
standard quality two-bedroom rent
described above, HUD applies a recent
mover bonus to these rents. The
following describes the process for
determining the appropriate recent
mover bonus.
For non-metropolitan areas, HUD
calculated the percentage change
between the 5-year standard quality rent
for the non-metropolitan portion of the
state and the 1-year recent mover rent
3 For areas with a two-bedroom standard quality
gross rent from the ACS that have a margin of error
greater than the estimate or no estimate due to
inadequate sample in the 2009 5-year ACS, HUD
uses the two-bedroom state non-metro rent for nonmetro areas.
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calculated at the smallest area level that
does have 100 recent movers. For
metropolitan areas, this order is subarea,
metropolitan area, state metropolitan
area, and state. For a nonmetropolitan
area a recent mover bonus based on the
state nonmetropolitan area, or if that is
not available it is calculated on the basis
of the whole state. For an example of
how the recent mover bonus is
calculated for these areas, please review
this methodology for Abilene, TX MSA
and Baldwin County, AL, in the FY
2012 documentation system: https://
www.huduser.org/portal/datasets/fmr/
fmrs/docsys.html&data=fmr12.
This process produces an ‘‘as of’’ 2009
recent mover two-bedroom base gross
rent for the FMR area.7
C. Updates From 2009 to 2010
The ACS data is updated through
2009 using the one-half of the change in
annual CPI measured between 2008 and
2009. This data is further updated
through the end of 2010 using the
annual change in CPI from 2009 to 2010.
As in previous years, HUD uses Local
CPI data for FMR areas with at least 75
percent of their population within Class
A metropolitan areas covered by local
CPI data. HUD uses Census region CPI
data for FMR areas in Class B and C size
metropolitan areas and nonmetropolitan
areas without local CPI update factors.
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D. Trend From 2010 to 2012
The national 1990 to 2000 average
annual rent increase trend of 3 percent
is applied to end-of-2010 rents for 15
months, to derive the proposed FY 2012
FMRs with a date of April 2012.
On March 9, 2011 (76 FR 12985),
HUD published a notice requesting
public comment regarding the manner
in which it calculates the trend factor
used in determining FMR estimates to
meet the statutory requirement that
FMRs be ‘‘trended so the rentals will be
7 The Pacific Islands (Guam, Northern Marianas
and American Samoa) as well as the US Virgin
Islands are not covered by ACS data. As part of the
2010 Decennial Census, these areas were covered by
a long-form survey. The results gathered by this
long form survey will not be available until 2012.
Therefore, HUD uses the national change in gross
rents, measured between 2008 and 2009 to update
last year’s FMR for these areas. Puerto Rico is
covered by the Puerto Rico Community Survey
within the American Community Survey; however,
the gross rent data produced by the 2005–2009 ACS
are not sufficient to adequately house voucher
holders in Puerto Rico. This is due to the limited
ability to eliminate units that do not pass the
voucher program’s housing quality standards.
Consequently, HUD is updating last year’s FMRs for
Puerto Rico using the change in rents measured
from all of Puerto Rico measured between the 2008
and 2009. For details behind these calculations,
please see HUD’s Proposed FY 2012 FMR
documentation system available at: https://
www.huduser.org/portal/datasets/fmr/fmrs/
docsys.html&data=fmr12.
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15:13 Aug 18, 2011
Jkt 223001
current for the year to which they
apply.’’ HUD’s notice provided several
proposed alternatives to the current
trend factor and requested comments on
the alternatives as well as suggestions of
other ideas. These comments are
discussed in further detail later in this
notice, but, in short, the commenters
did not arrive at a consensus over how
to change the trending methodology.
Therefore, HUD will continue to
consider the suggestions provided in the
comments and make plans to implement
a new methodology with the publication
of FY 2013 Proposed FMRs.
E. Bedroom Rent Adjustments
HUD calculates the primary FMR
estimates for two-bedroom units. This is
generally the most common size of
rental units and, therefore, the most
reliable to survey and analyze.
Formerly, after each Decennial Census,
HUD calculated rent relationships
between two-bedroom units and other
unit sizes and used them to set FMRs for
other units. HUD did this because it is
much easier to update two-bedroom
estimates and to use pre-established cost
relationships with other bedroom sizes
than it is to develop independent FMR
estimates for each bedroom size. HUD
did the last update of bedroom-rent
relationships using 2000 Census data. A
publicly releasable version of the data
file used for the derivations of rent
ratios is available at https://
www.huduser.org/portal/datasets/fmr/
CensusRentData/.
HUD made adjustments using 2000
Census data to establish rent ratios for
areas with local bedroom-size intervals
above or below what are considered
reasonable ranges, or where sample
sizes are inadequate to accurately
measure bedroom rent differentials.
Experience has shown that highly
unusual bedroom ratios typically reflect
inadequate sample sizes or peculiar
local circumstances that HUD would not
want to utilize in setting FMRs (e.g.,
luxury efficiency apartments that rent
for more than typical one-bedroom
units). HUD established bedroom
interval ranges based on an analysis of
the range of such intervals for all areas
with large enough samples to permit
accurate bedroom ratio determinations.
These ranges are: efficiency FMRs are
constrained to fall between 0.65 and
0.83 of the two-bedroom FMR; onebedroom FMRs must be between 0.76
and 0.90 of the two-bedroom FMR;
three-bedroom FMRs must be between
1.10 and 1.34 of the two-bedroom FMR;
and four-bedroom FMRs must be
between 1.14 and 1.63 of the twobedroom FMR. HUD adjusts bedroom
rents for a given FMR area if the
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52061
differentials between bedroom-size
FMRs were inconsistent with normally
observed patterns (i.e., efficiency rents
are not allowed to be higher than onebedroom rents and four-bedroom rents
are not allowed to be lower than threebedroom rents).
HUD further adjusts the rents for
three-bedroom and larger units to reflect
HUD’s policy to set higher rents for
these units than would result from using
unadjusted market rents. This
adjustment is intended to increase the
likelihood that the largest families, who
have the most difficulty in leasing units,
will be successful in finding eligible
program units. The adjustment adds
bonuses of 8.7 percent to the unadjusted
three-bedroom FMR estimates and adds
7.7 percent to the unadjusted fourbedroom FMR estimates. The FMRs for
unit sizes larger than four bedrooms are
calculated by adding 15 percent to the
four-bedroom FMR for each extra
bedroom. For example, the FMR for a
five-bedroom unit is 1.15 times the fourbedroom FMR, and the FMR for a sixbedroom unit is 1.30 times the fourbedroom FMR. FMRs for single-room
occupancy units are 0.75 times the zerobedroom (efficiency) FMR.
For low-population, nonmetropolitan
counties with small 2000 Census
samples of recent-mover rents, HUD
uses Census-defined county group data
to determine rents for each bedroom
size. HUD made this adjustment to
protect against unrealistically high or
low FMRs due to insufficient sample
sizes. The areas covered by this
estimation method had less than the
HUD standard of 200 two-bedroom,
Census-tabulated observations.
The 2010 Decennial Census did not
collect the information necessary to
update unit bedroom rent relationships.
HUD intends to use the 2006–2010 5year ACS data to update these
relationships for the FY 2013 FMRs.
HUD is choosing to wait until next year
to ensure something closer to a
consistent 10 year time period, but more
importantly, because the 2010 ACS data
will be published based on the 2010
Decennial Census geographic
definitions.
IV. Manufactured Home Space Surveys
The FMR used to establish payment
standard amounts for the rental of
manufactured home spaces in the HCV
program is 40 percent of the FMR for a
two-bedroom unit. HUD will consider
modification of the manufactured home
space FMRs where public comments
present statistically valid survey data
showing the 40th-percentile
manufactured home space rent
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(including the cost of utilities) for the
entire FMR area.
All approved exceptions to these rents
that were in effect in FY 2011 were
updated to FY 2012 using the same data
used to estimate the Housing Choice
Voucher program FMRs. If the result of
this computation was higher than 40
percent of the new two-bedroom rent,
the exception remains and is listed in
Schedule D. The FMR area definitions
used for the rental of manufactured
home spaces are the same as the area
definitions used for the other FMRs.
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V. Review of Comments and HUD’s
Responses Regarding the Methodology
for Calculating the FMR Trend Factor
As previously stated, the comments
delivered to HUD in response to the
March 9, 2011 (76 FR 12985) Federal
Register notice concerning the trend
factor methodology yielded only one
consensus, the need for a trend factor.
This section summarizes the comments
received and provides HUD’s responses.
In order to respond to all comments
received, HUD has summarized the
comments below, and has grouped the
comments into two sections: General
Comments and Comments on Specific
HUD Questions.
A. General Comments
1. Ensure fairness in FMR
methodology. One commenter states
that one of the most basic needs is
housing and, especially in these times,
many citizens who are willing to work
lack opportunities to do so. As a result,
these individuals may not have enough
to meet their basic needs. The
commenter requests that whatever
methodology chosen, that it fairly and
accurately evaluate the FMR for those in
need, so that they might assist these
individuals in meeting this most basic
need.
HUD Response: HUD’s methodology
for calculating Fair Market Rents is
constructed to be as fair as possible
using the most recent data available.
HUD will keep these comments in mind
as it determines the appropriate method
for future FMR calculation decisions.
2. FMR methodology fails to consider
the cost of accessible units. Another
commenter states that the process for
calculating FMRs is neither fair nor
sensible when applied to units that are
wheelchair accessible. The current HUD
process treats accessible and nonaccessible units as being similar, both in
terms of availability and price, when
evidence suggests the opposite. The
commenter states that until HUD
requires a separate analysis of FMRs for
accessible units, HUD will be making
policy in the dark.
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HUD Response: HUD’s regulations
allow PHAs to approve a higher
payment standard on a case-by-case
basis, as a reasonable accommodation
for a family with a person with
disabilities (refer to PIH Notice 2010–11,
which was extended by PIH Notice
2011–19). There is no data available that
would allow HUD to calculate a
separate FMR for accessible units.
3. Correct failure of FMRs to consider
cost of accessible units. The same
commenter recommends that HUD, to
correct the defect with respect to FMRs
for wheelchair accessible units, (1) grant
a 10 percent increase in rent (not to the
50th percentile, but 10 percent more
dollars to the FMR), (2) grant an
additional 10 percent increase with
HUD approval; and (3) grant an
extension of time (allowing the family to
search longer for an apartment which
may not even exist in that price range).
The commenter notes that while there
may not be statistical evidence
regarding the availability of accessible
apartments at current FMRs, the
commenter’s experience as a person
with a disability and an attorney with
30 years experience in housing law is
that families looking for accessible units
have fewer housing choices that cost
more than average.
HUD Response: HUD’s regulations
concerning housing for disabled persons
allow PHAs to request exception
payment standards as a reasonable
accommodation for families with a
disabled family member.
4. Maintain the publication of FMRs
in a timely manner and on a certain
date. Two commenters emphasize the
importance of timely publication of
HUD’s FMRs. They state that timely
publication permits PHAs and property
owners to be able to forecast and plan
for rent adjustments and operating
expense budgets. Further, FMRs are
used in the determination of annual
income limits which cannot be
published until FMR calculations are
completed. Without a date certain for
publication of FMRs, uncertainty
surrounding the timing of the
publication of income limits could
worsen and owners of Low Income
Housing Tax Credit (LIHTC) properties
would not be able to set annual rents.
HUD Response: Under current
statutes and regulations, the publication
date for Final FMRs remains October 1.
Under current rules, FMRs must also be
published for comment and given at
least a 30-day comment period. HUD
has suggested changes to the manner in
which the publication of FMRs is
completed, and due to the local
coverage of ACS data, HUD has
recommended that proposed FMRs no
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longer are necessary and that comments
with requests for FMR reviews could be
made following the publication of Final
FMRs.
5. Review of Alternative Tending
Methodologies. One commenter
addressed each of the alternative
trending methods suggested in the
notice. The commenter states that it
does not support Alternative 1 (use of
overall Consumer Price Index (CPI)
data) because local and regional CPI
provides a more accurate FMR
calculation for specific geographic areas
than national CPI data. It also
recommends that should HUD use
national CPI data rather than local or
regional data, it should limit its use to
rent and utility, instead of overall, CPI
data. The commenter supports
Alternative 2 (use of rent and utilities
CPI) since, according to the commenter,
the use of a local or regional trend factor
is a more appropriate way to calculate
FMRs. The commenter does not support
the use of proprietary information
(Alternative 3) since the likelihood of
this data providing timely, complete,
and usable data, particularly for rural
and remote areas, is low. The
commenter also supports alternative 4
(seeking legislative change, trending to
the midpoint of the fiscal year) as
providing a good balance between the
use of the most recent local data
available and the need to publish the
trend factor in advance. Finally, the
commenter does not support
Alternatives 5 (seeking legislative
change, trending to the beginning of the
fiscal year) and requests more
information to fully consider
Alternative 6 (eliminating the need for
trending by using the most recent halfyearly CPI and publishing final FMRs
between October and December).
HUD Response: HUD takes these
comments under advisement, and
continues to consider all of these
methods as well as others suggested by
different commenters.
B. Comments on Specific HUD
Questions
HUD Question: Should HUD continue to
use a constant trend factor or should the
trend factor be updated annually to
attempt to capture market changes?
1. Four commenters recommend that
HUD use a trend factor that is updated
annually, noting that a constant trend
factor can substantially understate true
costs and put clients who depend on
rental assistance and landlords who
accept vouchers, at risk. One
commenter, for example, states that the
volatility of utility costs makes it critical
that the trend factor be updated
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annually to capture market changes.
According to the commenter, this is
especially important in the Northeastern
United States where heating accounts
for a significant portion of utility costs
and price volatility is exacerbated by the
significant use of fuels such as fuel oil
and natural gas. According to the
commenter, unless the trend factor is
updated annually HUD will not be able
to fairly account for utility price
volatility. Annual updates of the trend
factor would minimize the negative
impacts of market changes.
2. A commenter states that the use of
the CPI Fuels & Utilities Index masks
changes in specific fuels used for home
energy, and recommends that HUD
replace the use of the Fuels & Utilities
Index with three indices (Electricity,
Utility (piped) Gas service and Motor
Fuels) with the indices used to calculate
a state specific trend factor by weighting
them based on the percentage of rental
units in the state heated by each of the
3 fuels, as provided by the ACS. The
commenter recommends use of a fuel
oil-specific index if one was available,
but believes that the price of heating
fuel oil tracks motor fuel prices enough
that the Motor Fuels Index is a fair
substitute.
3. Another commenter supports use of
a trend factor that is updated annually
but cautioned that HUD build in
stopgaps that eliminate sharp peaks and
valleys due to short-term instability.
HUD might consider, for example, a
stopgap that prevents the factor from
changing more than a certain percentage
each year. Another commenter
recommends that HUD use a rolling
average or other techniques to eliminate
significant increases or decreases in
FMRs. A third commenter states that
using a national, constant trending
factor does not make sense in a world
where many of HUD’s programs depend
on the local market and its changing
activity. The commenter recommends
the use of a trend factor that can be
updated annually and based on local or
regional data. The commenter also
cautions that the trend factor should not
be negative, as that could have serious
programmatic implications, particularly
for Section 8 project-based and taxcredit properties. As a result, HUD
should treat trends less than or equal to
zero growth as zero growth.
4. One commenter recommends that
HUD continue its use of a constant trend
factor since it minimizes large
fluctuations from year to year. The
commenter stated that a 10-year or 5year trending factor would accomplish
this goal. The commenter specifically
recommends, however, that HUD use a
single, national trend factor, based on a
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rolling five years of national median
gross rent in the ACS. Since the
commenter does not believe that ACS
data are reliable enough to use as a basis
for a trend factor prior to 2005, the year
that the ACS was first fully
implemented and collected data from
every county or county equivalent in the
country, the commenter states that a 5year rolling average using ACS could be
implemented within a year, as soon as
the ACS data becomes available.
HUD Response: While more
commenters supported the use of a
trend factor updated annually, all were
concerned with controlling volatility in
the trend factor. Some who want an
annual trend factor were only willing to
consider annual increases. Instituting
caps and floors for annual trend factors
would be new to the FMR estimation
process and not necessarily improve the
process. Using more detailed utility data
would be of little benefit. The more
detailed the index of the CPI, the larger
the geographic area for which this data
is available on a current basis. The ACS
does not provide data based on type of
heating fuel for rental units, as one
commenter suggested, so allocating
national utility data to states and
determining an appropriate fuel index
cannot be done with the ACS. Caps and
floors, such as never allowing the trend
factor to be less than zero, could be
instituted to reduce volatility, but this
would also reduce anticipated
improvements in accuracy of trend
estimates.
HUD Question: The constant trend
factor that HUD has used in the past
cannot be replicated for 2000 to 2010
based on available 2010 Census data. If
a constant trend factor is appropriate,
what data and time period should be
used for a constant trend factor?
1. One commenter restates its position
that a constant trend factor is not
appropriate because the results will not
reflect the reality of the local rental
marketplace. Another commenter that
expressed support for a trend factor that
is updated annually, and states, should
HUD use a constant trend factor, that
HUD consider using ACS data for a
similar period as has been used
previously (10 years).
2. Another commenter expressed a
preference for the CPI as the most
appropriate basis for the trend factor,
and restating the disadvantages of using
proprietary data on rental markets. The
commenter states that CPI would not
add too much additional variation to
FMR estimates, noting that FMRs
already vary considerably from year-toyear, which in some years, has nothing
to do with market conditions but rather
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with corrections from prior years.
Should the CPI be selected as the basis
for the trend factor, the commenter
recommends that HUD use the BLS
series that calculate annual changes to
avoid seasonality issues, since seasonal
adjustments are not available at the
local/regional level.
3. The same commenter states that
HUD’s use of a rolling average of local/
regional ACS increases in gross rent
would be a viable option, as long as
HUD determined that such use better
met programmatic needs of key
constituencies using FMRs in their
operations. The commenter concludes
that any factor that is more locallyderived and that reflects changes in the
market would be an improvement over
the current constant, nationally-derived
factor.
HUD Response: Since most
commenters do not support a constant
trend factor, any consensus on this issue
is irrelevant. The one commenter that
supports the use of a constant trend
factor would use the gross rents from
the ACS to calculate the trend factor and
that is the only way to have a constant
long-term trend factor. Although some
commenters recommend using CPI data
for a constant long-term trend factor,
their comments lacked specificity as to
how to make the concept operational.
CPI data seems best suited to a trend
factor that changes on an annual albeit
lagged, basis.
HUD Question: Is a national trend factor
appropriate, or should HUD limit itself
to use of more local options such as
regional factors?
1. One commenter states that a
regional or local trend factor is more
appropriate than a national factor
because it provides the most accurate
FMR calculation for specific geographic
areas. A second commenter agreed,
adding that ideally the trend factors
should be state specific because there
can be substantial differences in utility
costs (and the factors that affect them)
even within a region. A third
commenter encouraged HUD update
factors based on regional trends and
those in the largest metro areas, or use
a data set that provides the lowest level
of geography without causing undue
problems with sample size or
computation or delays in the release.
2. A commenter recommends that
HUD consider using regional CPI
indices as they are readily available and
include regional Fuels and Utilities
Index, and more specific Indices for
certain utilities (e.g., piped gas).
Another commenter states that basing
the trend factor on monthly local or
regional CPI data would be particularly
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ill-advised because monthly CPI
numbers are available for a very limited
set of local areas, and when available,
only every other month or semiannually. In addition, the commenter
states that only the national CPI data are
seasonally adjusted and that potential
problems with using seasonally
unadjusted monthly data should be
enough to preclude their use in
computing FMRs.
HUD Response: As with the other two
issues, one commenter is concerned
with the volatility of the data and
prefers the use of a national, constant
trend factor other commenters want the
trend factor to change annually and be
at least regional, or the lowest level of
geography that is possible. HUD
reiterates that these suggestions are
contradictory: The more detailed the
data the less often it is published, and
then at a broader geography. That is,
more detailed fuel data cannot be used
along with data for the lowest geography
possible.
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HUD Question: Should HUD allow
changes between the proposed and final
FMRs resulting from updated trend
factors?
1. One commenter states that HUD
should be able to allow changes
between proposed and final FMRs as
long as the changes result in rents that
more accurately reflect current, local
market conditions. A second commenter
agrees that permitting HUD to make
changes would permit HUD to use the
most recent and most local data
possible. The commenter also stated
that it would be more effective to
discontinue the publication of proposed
FMRs, but allow for public comments
on the final FMRs, releasing revised
final FMRs as needed.
2. One commenter states that allowing
updates would provide for less certainty
for housing entities. Assuming the
proposed FMRs are susceptible to
challenge prior to becoming final, the
commenter concludes that automatic
changes due to updated trend factors
should not be necessary.
HUD Response: The purpose of the
publishing proposed FMRs would be
circumvented if HUD re-estimated
FMRs for the final publication using
more current data. All proposed FMRs
would be subject to change. HUD would
prefer not to publish proposed FMRs for
comment, but such a change would
require a change to the statute.
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HUD Question: Is using the more
current data for estimating the FMRs
more important than providing for
public comment before establishing
final FMRs for effect?
1. Most commenters support HUD’s
continued publication of the FMRs for
comment. One commenter, for example,
notes that the opportunity to comment
may present HUD with current data that
ensures that changes to FMRs reflect
actual changes in the local rental
market. The commenter states that a
shorter comment period of 30 days may
be appropriate and reasonable if HUD
uses regional data adjusted for state
specific characteristics for estimating
trends. The commenter added that a 90day comment period should apply if
HUD changes more than just FMR
levels, (e.g., changing the geographic
regions where the FMRs apply) or if
HUD does not start with regional and
State specific data for estimating trends.
2. Another commenter that supports
the elimination of a constant national
trend factor states that using the most
recent data possible would still not
merit eliminating the public comment
period. The commenter stated public
comment permits its members to assess
the proposed FMRs and whether they
need to request reevaluation in light of
current market conditions. Changing the
FMRs between the publication of the
proposed and final estimates would
render the public comment process
meaningless.
3. A third commenter states that
HUD’s use of more current regional or
local factors is more important than
providing for public comment before
establishing the final FMRs as long as
there is the opportunity for public
comments on the final FMRs and HUD
is willing to revise the FMRs as
necessary. The commenter recommends,
however, that HUD release as proposed
for public comment any significant
changes to the data sources and the
methodology it intends to use in
calculating final FMRs at least 60 days
prior to their release.
4. One commenter strongly opposes
the elimination of a public comment
period, stating that public comment
adds to the reliability of the FMRs by
ensuring that the expertise of
individuals affected by the FMRs is
considered before HUD publishes its
final FMRs. Without a public comment
period, there would be no way to
contest FMR levels, changes in
methodology, or other policy issues.
The commenter concludes that while
HUD suggests that using CPI data would
provide more recent data and
potentially shorten the trending period,
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it does not believe this is an acceptable
trade off for losing the certainty of
publication on October 1 and for losing
the public comment period.
HUD Response: HUD would prefer to
eliminate the comment period, but no
commenters support this position. The
commenters, if anything, want a longer
comment period whenever there are
substantial changes to FMR estimation
methodology. Given the timing of the
data releases, longer comment periods
of 60 to 90 days are not possible even
when there are major changes, such as
for geographic areas. In the past HUD
has dealt with this issue of short
comment periods by publishing revised
final FMRs and sees this as an
appropriate mechanism for the future.
Clearly the commenters want a formal
comment period for FMRs, so HUD will
take this under advisement.
HUD Question: Is the seasonality of rent
and utility prices important in
considering what month to collect data
for trending? If so, how should HUD
select the month to use or to compare
it with?
1. One commenter that strongly
supported the use of an annually
updated trend factor states that if
current, regional data with appropriate
state adjustments are used, seasonality
adjustments should be relatively
unimportant. Another commenter states
that seasonality is an important
consideration if trending uses data
releases separated by less than a year. A
third commenter states that seasonality
should be used rather than be avoided,
particularly depending on the
geographic area affected.
HUD Response: There is disagreement
on whether seasonality is a concern.
HUD views seasonality as a concern
because it potentially adds to the
volatility of the FMR estimate. While
some have proposed caps and floors for
trend factor changes to reduce the
volatility of FMR estimates, caps and
floors tend to increase the noise in an
estimate so that constrained trends will
add little accuracy to FMR estimates.
HUD Question: Is double counting of
CPI data a concern?
1. Two commenters address this
issue. Both stated that they recognize
this issue but under the current
proposals either do not have a strong
concern about the issue or feel that the
issue is not significant.
HUD Response: HUD believes that
when prices are increasing, the double
counting of the CPI indices will not be
a concern except possibly for budgetary
reasons. However, when prices are
falling and the FMRs could drop, this
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would become an issue with tenants,
and landlords. For these reasons HUD
does not find double-counting the CPI
data, which is already lagged when used
for the FMRs, to be an effective forecast
of trend.
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HUD Question: Is it more important to
base a trend on the most recent data
possible, or on the most specific
geography?
1. One commenter states that both
issues are important, and it should not
be necessary to choose one over the
other. The commenter notes that there
are good data sources available that
allow for use of both recent and locally
relevant data, such as the CPI and ACS.
Another commenter gave slight
preference to more specific geography,
but within limits. Specifically, the
commenter states that if using data for
areas smaller than the largest metro
areas and census regions requires using
significantly older data and leads to
significant lags in the release of the
FMRs, then more local specificity would
cease to be the priority.
2. A third commenter states that
geography is more important because
market conditions are more likely to
show greater variance from region to
region over a given time period than
that reflected in local or regional market
conditions over the same period.
HUD Response: HUD is already using
the most current ACS and CPI data at
the lowest level of geography. There is
no way to use current data at the lowest
level of geography without ensuring
publication of the proposed FMRs
regularly in mid- to late-August. The
only more current data at the lowest
geographic level that could be
incorporated for a trend factor, would be
the CPI data for the first-half of the year,
which comes out late July. Waiting this
late for calculation of FMRs would push
the proposed FMR Federal Register
notice to mid-August at the earliest.
There would barely be time for a 30-day
comment period and recalculation of
final FMRs in time for the October 1
final FMR publication. There would still
be double counting of the CPI data,
which HUD considers problematic.
HUD Question: Is it better to use rent
and utility CPI data in developing a
trend factor or should other prices be
included?
1. One commenter states that in
addition to capturing changes in rent
and utilities generally, it is also
important to account for changes in
heating fuel prices specifically because
the impacts can vary significantly State
by State, and even within a region. A
second commenter states that it would
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not in advance exclude from
consideration additional specific data
that would assist FMRs to better reflect
the price a household must be able to
pay in a specific location in order to be
reasonably assured of finding a decent,
modest and safe home. The commenter
states, however, that generally rent and
utility costs in the CPI are likely
sufficient.
HUD Response: HUD believes that the
rent and utility CPI data currently used
is appropriate. The utility CPI data
cannot be changed to provide a greater
emphasis on heating fuel as appropriate
weighting of this fuel sources is not
possible.
HUD Question: Should HUD pursue
legislative and regulatory changes to
reduce or eliminate the need for
trending?
1. One commenter supported HUD
seeking the legislative changes as
proposed in the FY 2012 HUD budget,
trending to the midpoint of the fiscal
year and using CPI rent and utility data
to calculate the trend. According to the
commenter, this alternative provides a
good balance between the use of the
most recent local data available and the
need to publish the trend factor in
advance. The use of local and regional
CPI rent and utility data would provide
for more accurate FMR calculations than
the use of national CPI data, and the
application of the factor through the
midpoint of the fiscal year would
provide balance in the final FMR
calculation. Another commenter states
that solutions other than trending in the
calculation of FMR may be acceptable as
long as the calculation includes some
mechanism for considering current
market conditions.
HUD Response: HUD would prefer to
reduce the period of trending down
from a 15-month period to a 6-month or
9-month period, to reduce the impact of
this factor. To do so would require a
legislative change that assumes the FMR
represents a beginning of fiscal year
rent, rather than a middle of fiscal year
rent.
HUD Question: Is there a data source or
aggregation of sources of data provided
on a more current basis than the CPI
that could be used in the FMR
estimation process?
1. No commenter responded that it
was aware of any data source or
aggregation of sources of data provided
on a more current basis than the CPI
that could be used in the FMR
estimation process.
HUD Response: HUD agrees, but the
use of the most current CPI data at the
lowest level of geography is the use of
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the first half of the year data and, as
discussed earlier, incorporating this
data makes the publication of the
proposed FMR so late as to not allow
time for meaningful comments.
Given the divergence in comments,
HUD has determined that additional
study is required to select an
appropriate methodology to employ for
this program parameter. HUD will
announce a new trending methodology
in the FY 2013 proposed FMRs.
VI. Proposal To Formalize a
Publication Date for Income Limits
In the comments filed regarding the
trend factor, several commenters
reminded HUD of the need for
publication of FMRs by a certain date.
One of the reasons submitted is because
HUD uses FMRs in the calculation of
income limits used in various federal,
state and local housing programs.
Currently, there is no statutorily
required publication date for income
limits. In recent years, HUD has
attempted to incorporate the most recent
vintage of ACS data into the income
limits calculations; however, due to the
increase in the number and scope of
ACS data products, the publication date
for income limits has become later each
year.
In an attempt to be responsive to the
concerns of the users of Income Limits,
HUD is proposing to give the
publication of area median family
income estimates and income limits a
more certain date. Currently, HUD is
considering two possible timeframes for
the publication of median family
incomes and income limits. The first
date would be October 1 at the same
time that Final FMRs are published. The
second date would be December 1. In
either case, if HUD were to move the
publication date, the FY 2012 Median
Family Income estimates and the
Income Limits would not benefit from
any additional ACS data over what was
included in the FY 2011 publication.
The FY 2012 Median Family Income
estimates and Income Limits, published
on either October 1, 2011, or December
1, 2011, under this proposal, would be
updated with the FY 2012 FMRs for the
purposes of evaluating areas of
relatively high or low income to housing
cost relationships and would be further
updated with CPI to the end of 2010 and
trended to the mid-point of FY 2012 in
a manner similar to what was done with
the FY 2011 Median Family Income
estimates and Income Limits. The FY
2013 Median Family Income estimates
and Income Limits, published on
October 1, 2012, or December 1, 2012,
would be the first set of median family
income estimates and income limits
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updated with ACS data collected from
2006–2010.
VII. Request for Public Comments
HUD seeks public comments on the
methodology used to calculate FY 2012
Proposed FMRs and the FMR levels for
specific areas. Comments on FMR levels
must include sufficient information
(including local data and a full
description of the rental housing survey
methodology used) to justify any
proposed changes. Changes may be
proposed in all or any one or more of
the unit-size categories on the schedule.
Recommendations and supporting data
must reflect the rent levels that exist
within the entire FMR area.
For the supporting data, HUD
recommends the use of professionally
conducted Random Digit Dialing (RDD)
telephone surveys to test the accuracy of
FMRs for areas where there is a
sufficient number of Section 8 units to
justify the survey cost of approximately
$35,000–$50,000. Areas with 2,000 or
more program units usually meet this
cost criterion, and areas with fewer
units may meet it if actual rents for twobedroom units are significantly different
from the FMRs proposed by HUD.
PHAs in nonmetropolitan areas may,
in certain circumstances, conduct
surveys of groups of counties. HUD
must approve all county-grouped
surveys in advance. PHAs are cautioned
that the resulting FMRs may not be
identical for the counties surveyed; each
individual FMR area will have a
separate FMR based on the relationship
of rents in that area to the combined
rents in the cluster of FMR areas. In
addition, PHAs are advised that
counties where FMRs are based on the
combined rents in the cluster of FMR
areas will not have their FMRs revised
unless the grouped survey results show
a revised FMR statistically different
from the combined rent level.
PHAs that plan to use the RDD survey
technique should obtain a copy of the
appropriate survey guide. Larger PHAs
should request HUD’s survey guide
entitled ‘‘Random Digit Dialing Surveys:
A Guide to Assist Larger Public Housing
Agencies in Preparing Fair Market Rent
Comments.’’ Smaller PHAs should
obtain the guide entitled ‘‘Rental
Housing Surveys: A Guide to Assist
Smaller Public Housing Agencies in
Preparing Fair Market Rent Comments.’’
These guides are available from HUD
USER on 800–245–2691, or from HUD’s
Web site, in Microsoft Word or Adobe
Acrobat format, at the following
address: https://www.huduser.org/
datasets/fmr.html.
Other survey methodologies are
acceptable in providing data to support
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comments if the survey methodology
can provide statistically reliable,
unbiased estimates of the gross rent.
Survey samples should preferably be
randomly drawn from a complete list of
rental units for the FMR area. If this is
not feasible, the selected sample must
be drawn to be statistically
representative of the entire rental
housing stock of the FMR area. Surveys
must include units at all rent levels and
be representative by structure type
(including single-family, duplex, and
other small rental properties), age of
housing unit, and geographic location.
The 2005–2009 5-year ACS data should
be used as a means of verifying if a
sample is representative of the FMR
area’s rental housing stock.
Most surveys cover only one- and
two-bedroom units, which has statistical
advantages. If the survey is statistically
acceptable, HUD will estimate FMRs for
other bedroom sizes using ratios based
on the 2000 Decennial Census. A PHA
or contractor that cannot obtain the
recommended number of sample
responses after reasonable efforts should
consult with HUD before abandoning its
survey; in such situations, HUD may
find it appropriate to relax normal
sample size requirements.
HUD will consider increasing
manufactured home space FMRs where
public comment demonstrates that 40
percent of the two-bedroom FMR is not
adequate. In order to be accepted as a
basis for revising the manufactured
home space FMRs, comments must
include a pad rental survey of the
mobile home parks in the area, identify
the utilities included in each park’s
rental fee, and provide a copy of the
applicable public housing authority’s
utility schedule.
HUD is also soliciting comments on
its proposal to give the publication of
Median Family Income estimates and
income limits a certain date.
Commenters should provide their
assessments of the advantages and
disadvantages of a certain publication
date as well as their preference among
the dates proposed herein.
VIII. Environmental Impact
This Notice involves the
establishment of fair market rent
schedules, which do not constitute a
development decision affecting the
physical condition of specific project
areas or building sites. Accordingly,
under 24 CFR 50.19(c)(6), this Notice is
categorically excluded from
environmental review under the
National Environmental Policy Act of
1969 (42 U.S.C. 4321).
Accordingly, the Fair Market Rent
Schedules, which will not be codified in
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24 CFR part 888, are proposed to be
amended as shown in the Appendix to
this notice:
Raphael W. Bostic,
Assistant Secretary for Policy Development
and Research.
Fair Market Rents for the Housing
Choice Voucher Program
Schedules B and D—General
Explanatory Notes
1. Geographic Coverage
a. Metropolitan Areas—Most FMRs
are market-wide rent estimates that are
intended to provide housing
opportunities throughout the geographic
area in which rental-housing units are
in direct competition. HUD is using the
metropolitan CBSAs, which are made
up of one or more counties, as defined
by the Office of Management and
Budget (OMB), with some
modifications. HUD is generally
assigning separate FMRs to the
component counties of CBSA
Micropolitan Areas.
b. Modifications to OMB
Definitions—Following OMB guidance,
the estimation procedure for the FY
2012 proposed FMRs incorporates the
current OMB definitions of metropolitan
areas based on the CBSA standards as
implemented with 2000 Census data,
but makes adjustments to the definitions
to separate subparts of these areas where
FMRs or median incomes would
otherwise change significantly if the
new area definitions were used without
modification. In CBSAs where subareas
are established, it is HUD’s view for
programmatic purposes that the
geographic extent of the housing
markets are not yet the same as the
geographic extent of the CBSAs, but
may become so in the future as the
social and economic integration of the
CBSA component areas increases.
Modifications to metropolitan CBSA
definitions are made according to a
formula as described below.
Metropolitan area CBSAs (referred to
as MSAs) may be modified to allow for
subarea FMRs within MSAs based on
the boundaries of old FMR areas (OFAs)
within the boundaries of new MSAs.
(OFAs are the FMR areas defined for the
FY 2005 FMRs. Collectively they
include 1999-definition MSAs/Primary
Metropolitan Statistical Areas (PMSAs),
metro counties deleted from 1999definition MSAs/PMSAs by HUD for
FMR purposes, and counties and county
parts outside of 1999-definition MSAs/
PMSAs referred to as nonmetropolitan
counties.) Subareas of MSAs are
assigned their own FMRs when the
subarea 2000 Census Base Rent differs
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by at least 5 percent from (i.e., is at most
95 percent or at least 105 percent of) the
MSA 2000 Census Base Rent, or when
the 2000 Census Median Family Income
for the subarea differs by at least 5
percent from the MSA 2000 Census
Median Family Income. MSA subareas,
and the remaining portions of MSAs
after subareas have been determined, are
referred to as HMFAs to distinguish
these areas from OMB’s official
definition of MSAs.
The specific counties and New
England towns and cities within each
state in MSAs and HMFAs are listed in
Schedule B.
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2. Bedroom Size Adjustments
Schedule B shows the FMRs for zerobedroom through four-bedroom units.
The Schedule B addendum shows Small
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Area FMRs for PHAs operating using
Small Area FMRs within the Dallas, TX
HMFA. The FMRs for unit sizes larger
than four bedrooms are calculated by
adding 15 percent to the four-bedroom
FMR for each extra bedroom. For
example, the FMR for a five-bedroom
unit is 1.15 times the four-bedroom
FMR, and the FMR for a six-bedroom
unit is 1.30 times the four-bedroom
FMR. FMRs for single-room-occupancy
(SRO) units are 0.75 times the zerobedroom FMR.
3. Arrangement of FMR Areas and
Identification of Constituent Parts
a. The FMR areas in Schedule B are
listed alphabetically by metropolitan
FMR area and by nonmetropolitan
county within each state. The exception
FMRs for manufactured home spaces in
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Schedule D are listed alphabetically by
state.
b. The constituent counties (and New
England towns and cities) included in
each metropolitan FMR area are listed
immediately following the listings of the
FMR dollar amounts. All constituent
parts of a metropolitan FMR area that
are in more than one state can be
identified by consulting the listings for
each applicable state.
c. Two nonmetropolitan counties are
listed alphabetically on each line of the
non-metropolitan county listings.
d. The New England towns and cities
included in a nonmetropolitan county
are listed immediately following the
county name.
BILLING CODE 4210–67–P
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BILLING CODE 4210–67–C
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[FR Doc. 2011–20932 Filed 8–18–11; 8:45 am]
Agencies
[Federal Register Volume 76, Number 161 (Friday, August 19, 2011)]
[Notices]
[Pages 52058-52129]
From the Federal Register Online via the Government Printing Office [www.gpo.gov]
[FR Doc No: 2011-20932]
[[Page 52057]]
Vol. 76
Friday,
No. 161
August 19, 2011
Part II
Department of Housing and Urban Development
-----------------------------------------------------------------------
Proposed Fair Market Rents for the Housing Choice Voucher Program and
Moderate Rehabilitation Single Room Occupancy Program; Fiscal Year
2012; Notice
Federal Register / Vol. 76 , No. 161 / Friday, August 19, 2011 /
Notices
[[Page 52058]]
-----------------------------------------------------------------------
Department of Housing and Urban Development
[Docket No. FR-5567-N-01]
Proposed Fair Market Rents for the Housing Choice Voucher Program
and Moderate Rehabilitation Single Room Occupancy Program Fiscal Year
2012
AGENCY: Office of the Assistant Secretary for Policy Development and
Research, HUD.
ACTION: Notice of Proposed Fiscal Year (FY) 2012 Fair Market Rents
(FMRs).
-----------------------------------------------------------------------
SUMMARY: Section 8(c)(1) of the United States Housing Act of 1937
(USHA) requires the Secretary to publish FMRs periodically, but not
less than annually, adjusted to be effective on October 1 of each year.
The primary uses of FMRs are to determine payment standards for the
Housing Choice Voucher (HCV) program, to determine initial renewal
rents for some expiring project-based Section 8 contracts, to determine
initial rents for housing assistance payment contracts in the Moderate
Rehabilitation Single Room Occupancy program, and to serve as rent
ceilings in the HOME program. Today's notice provides proposed FY 2012
FMRs for all areas that reflect the estimated 40th and 50th percentile
rent levels trended to April 1, 2012. The FY 2012 FMRs are re-
benchmarked using five-year, 2005-2009 data collected by the American
Community Survey (ACS). These data are updated using one-year ACS data
in areas where statistically valid one-year ACS data is available. The
Consumer Price Index (CPI) rent and utility indexes are used to further
update the data from 2009 to the end of 2010. HUD continues to use ACS
data in different ways according to how many two-bedroom standard-
quality and recent-mover sample cases are available in the FMR area or
its Core-Based Statistical Area (CBSA).
The proposed FY 2012 FMR areas are based on current Office of
Management and Budget (OMB) metropolitan area definitions and include
HUD modifications that were first used in the determination of FY 2006
FMR areas. Changes to the OMB metropolitan area definitions through
December 2009 are incorporated. The bedroom ratios developed using 2000
Census data continue to be used and state minimums, calculated each
year from the estimated FMRs, continue to be applied.
This notice also includes HUD's responses to comments received on
the March 9, 2011, (76 FR 12985), Federal Register notice (``Trend
Notice'') seeking public comment regarding the manner in which HUD
calculates a trend factor, the time period the trend factor is applied
in the FMR estimation process and related issues.
HUD received four applications to participate in the Small Area FMR
demonstration program. These applications are being reviewed and
information on the demonstration program will be made available in a
notice published at a later date.
Finally, in an effort to serve HUD's external clients who use HUD's
estimates of Area Median Family Income (MFI) and their associated
Income Limits (IL), HUD is requesting comments on a proposal to
establish a certain date for publishing these parameters.
DATES: Comment Due Date: September 19, 2011.
ADDRESSES: Interested persons are invited to submit comments regarding
HUD's estimates of the FMRs and/or HUD's proposed timeline for
publishing MFIs and ILs, as published in this notice, to the Office of
General Counsel, Rules Docket Clerk, Department of Housing and Urban
Development, 451 Seventh Street, SW., Room 10276, Washington, DC 20410-
0001. Communications should refer to the above docket number and title
and should contain the information specified in the ``Request for
Comments'' section.
Submission of Hard Copy Comments. To ensure that the information is
fully considered by all of the reviewers, each commenter who is
submitting hard copy comments, by mail or hand delivery, is requested
to submit two copies of its comments to the address above, one
addressed to the attention of the Rules Docket Clerk and the other
addressed to the attention of Economic and Market Analysis Division
staff in the appropriate HUD field office. Due to security measures at
all federal agencies, submission of comments by mail often results in
delayed delivery. To ensure timely receipt of comments, HUD recommends
that any comments submitted by mail be submitted at least two weeks in
advance of the public comment deadline.
Electronic Submission of Comments. Interested persons may submit
comments electronically through the Federal eRulemaking Portal at
https://www.regulations.gov. HUD strongly encourages commenters to
submit comments electronically. Electronic submission of comments
allows the commenter maximum time to prepare and submit a comment,
ensures timely receipt by HUD, and enables HUD to make them immediately
available to the public. Comments submitted electronically through the
https://www.regulations.gov Web site can be viewed by other commenters
and interested members of the public. Commenters should follow
instructions provided on that site to submit comments electronically.
No Facsimile Comments. Facsimile (Fax) comments are not acceptable.
Public Inspection of Comments. All comments and communications
submitted to HUD will be available, without charge, for public
inspection and copying between 8 a.m. and 5 p.m. weekdays at the above
address. Due to security measures at the HUD Headquarters building, an
advance appointment to review the public comments must be scheduled by
calling the Regulations Division at 202-708-3055 (this is not a toll-
free number). Copies of all comments submitted are available for
inspection and downloading at https://www.regulations.gov.
FOR FURTHER INFORMATION CONTACT: For technical information on the
methodology used to develop FMRs or a listing of all FMRs, please call
the HUD USER information line at 800-245-2691 or access the information
on the HUD Web site https://www.huduser.org/portal/datasets/fmr.html.
FMRs are listed at the 40th or 50th percentile in Schedule B. For
informational purposes, 40th percentile recent-mover rents for the
areas with 50th percentile FMRs will be provided in the HUD FY 2012 FMR
documentation system at https://www.huduser.org/portal/datasets/fmr/fmrs/docsys.html&data=fmr12 and 50th percentile rents for all FMR areas
will be published at https://www.huduser.org/portal/datasets/50per.html
after publication of final FY 2012 FMRs.
Questions related to use of FMRs or voucher payment standards
should be directed to the respective local HUD program staff. Questions
on how to conduct FMR surveys or concerning further methodological
explanations may be addressed to Marie L. Lihn or Peter B. Kahn,
Economic and Market Analysis Division, Office of Economic Affairs,
Office of Policy Development and Research, telephone 202-708-0590.
Persons with hearing or speech impairments may access this number
through TTY by calling the toll-free Federal Relay Service at 800-877-
8339. (Other than the HUD USER information line and TDD numbers,
telephone numbers are not toll-free.)
SUPPLEMENTARY INFORMATION
[[Page 52059]]
I. Background
Section 8 of the USHA (42 U.S.C. 1437f) authorizes housing
assistance to aid lower-income families in renting safe and decent
housing. Housing assistance payments are limited by FMRs established by
HUD for different geographic areas. In the HCV program, the FMR is the
basis for determining the ``payment standard amount'' used to calculate
the maximum monthly subsidy for an assisted family (see 24 CFR
982.503). In general, the FMR for an area is the amount that would be
needed to pay the gross rent (shelter rent plus utilities) of privately
owned, decent, and safe rental housing of a modest (non-luxury) nature
with suitable amenities. In addition, all rents subsidized under the
HCV program must meet reasonable rent standards. HUD's regulations at
24 CFR 888.113 permit it to establish 50th percentile FMRs for certain
areas.
Electronic Data Availability: This Federal Register notice is
available electronically from the HUD User page at https://www.huduser.org/datasets/fmr.html. Federal Register notices also are
available electronically from https://www.gpoaccess.gov/fr/,
the U.S. Government Printing Office Web site. Complete documentation of
the methodology and data used to compute each area's proposed FY 2012
FMRs is available at https://www.huduser.org/portal/datasets/fmr/fmrs/docsys.html&data=fmr12. Proposed FY 2012 FMRs are available in a
variety of electronic formats at https://www.huduser.org/portal/datasets/fmr.html. FMRs may be accessed in PDF format as well as in
Microsoft Excel. Small Area FMRs based on Proposed FY 2012 Metropolitan
Area Rents are available in Microsoft Excel format at the same web
address. Please note that these Small Area FMRs are for reference only,
and will only be used by PHAs participating in the Small Area FMR
demonstration.
II. Procedures for the Development of FMRs
Section 8(c) of the USHA requires the Secretary of HUD to publish
FMRs periodically, but not less frequently than annually. Section 8(c)
states, in part, as follows:
Proposed fair market rentals for an area shall be published in the
Federal Register with reasonable time for public comment and shall
become effective upon the date of publication in final form in the
Federal Register. Each fair market rental in effect under this
subsection shall be adjusted to be effective on October 1 of each year
to reflect changes, based on the most recent available data trended so
the rentals will be current for the year to which they apply, of rents
for existing or newly constructed rental dwelling units, as the case
may be, of various sizes and types in this section.
HUD's regulations at 24 CFR part 888 provide that HUD will develop
proposed FMRs, publish them for public comment, provide a public
comment period of at least 30 days, analyze the comments, and publish
final FMRs. (See 24 CFR 888.115.)
In addition, HUD's regulations at 24 CFR 888.113 set out procedures
for HUD to assess whether areas are eligible for FMRs at the 50th
percentile. Minimally qualified areas \1\ are reviewed each year unless
not qualified to be reviewed. Areas are not qualified to be reviewed if
they have been made a 50th-percentile area within the last three years
or have lost 50th-percentile status for failure to de-concentrate
within the last three years.
---------------------------------------------------------------------------
\1\ As defined in 24 CFR 888.113(c), a minimally qualified area
is an area with at least 100 census tract where 70 percent or fewer
of the census tracts with at least 10 two bedroom rental units are
census tracts in which at least 30 percent of the two bedroom rental
units have gross rents at or below the two bedroom FMR set at the
40th percentile rent. This is evaluated with 2000 Census tract data,
while we are awaiting 2010 ACS data to be aggregated using 2010
Census tract definitions.
---------------------------------------------------------------------------
In FY 2011 there are 18 areas using 50th-percentile FMRs. Of these
18 areas, 10 of them have completed three years of program
participation and are due for re-evaluation. The following table lists
these 10 areas.
FY 2011 50th-Percentile FMR Areas Re-Evaluated for Eligibility
Evaluation in FY 2012
------------------------------------------------------------------------
------------------------------------------------------------------------
Albuquerque, NM MSA....................... Chicago-Joliet-Naperville,
IL HMFA \2\.
Denver-Aurora, CO MSA..................... Hartford-West Hartford-East
Hartford, CT HMFA.
Houston-Baytown-Sugar Land, TX HMFA....... Kansas City, MO-KS, HMFA.
Milwaukee-Waukesha-West Allis, WI MSA..... North Port-Bradenton-
Sarasota, FL MSA.
Richmond, VA HMFA......................... Tacoma, WA HMFA.
------------------------------------------------------------------------
\2\ HMFA stands for HUD Metropolitan FMR Area.
Only three of the 10 areas up for re-evaluation will continue to be
50th-percentile FMR areas:
FY 2011 50th-Percentile FMR Areas That Continue as 50th-Percentile
Areas, Next Evaluation in FY 2015
------------------------------------------------------------------------
------------------------------------------------------------------------
Hartford-West Hartford-East Hartford, CT Houston-Baytown-Sugar Land,
HMFA. TX HMFA.
North Port-Bradenton-Sarasota, FL MSA.....
------------------------------------------------------------------------
Two areas ``graduated'' from the 50th-percentile FMR program. This
means that the concentration of HCV tenants is below what is required
to be eligible for a 50th-percentile FMR. These two areas may be
evaluated annually and may return to the program:
FY 2011 50th-Percentile FMR Areas That ``Graduate,'' Evaluated Annually
------------------------------------------------------------------------
------------------------------------------------------------------------
Milwaukee-Waukesha-West Allis, WI MSA..... Richmond, VA HMFA.
------------------------------------------------------------------------
The remaining five areas failed to deconcentrate and will not be
eligible for evaluation for three years, until the FY 2015 FMRs are
evaluated:
FY 2011 50th-Percentile FMR Areas That Failed To Deconcentrate, Eligible
for Evaluation in FY 2015
------------------------------------------------------------------------
------------------------------------------------------------------------
Albuquerque, NM MSA....................... Chicago-Joliet-Naperville,
IL HMFA.
Denver-Aurora, CO MSA..................... Kansas City, MO-KS, HMFA.
Tacoma, WA HMFA...........................
------------------------------------------------------------------------
Of the remaining eight 50th-percentile FMR areas that were not
eligible for review, seven will complete three years in the program and
be reviewed for the FY 2013 FMRs, as shown below:
FY 2012 Continuing 50th-Percentile FMR Areas Slated for Evaluation in FY
2013
------------------------------------------------------------------------
------------------------------------------------------------------------
Baltimore-Towson, MD MSA.................. Fort Lauderdale, FL HMFA.
Grand Rapids-Wyoming, MI HMFA............. New Haven-Meriden, CT HMFA.
Philadelphia-Camden-Wilmington, PA-NJ-DE- Washington-Arlington-
MD MSA. Alexandria, DC-VA-MD HMFA.
West Palm Beach-Boca Raton, FL HMFA.......
------------------------------------------------------------------------
The eighth FY 2011 area, Bergen-Passaic, NJ HMFA, was granted
authorization to use 50th-percentile FMRs in FY 2011. Therefore, under
[[Page 52060]]
current regulations, Bergen-Passaic, NJ HMFA, will continue in the 50th
percentile program for FY 2012 and will be evaluated when the FY 2014
FMRs are calculated.
There will be 10 additional 50th-percentile FMR areas, one that is
new to the program, Sacramento--Arden-Arcade--Roseville, CA HMFA. The
other 9 areas, as listed below, all failed to deconcentrate when
evaluated for the FY 2009 FMRs, but have been reinstated as 50th-
percentile FMRs:
FY 2012 50th-Percentile FMR Areas Reinstated Evaluation in FY 2015
------------------------------------------------------------------------
------------------------------------------------------------------------
Austin-Round Rock-San Marcos, TX MSA...... Fort Worth-Arlington, TX
HMFA.
Honolulu, HI MSA.......................... Las Vegas-Paradise, NV MSA.
Orange County, CA HMFA.................... Phoenix-Mesa-Glendale, AZ
MSA.
Riverside-San Bernardino-Ontario, CA HMFA. Tucson, AZ MSA.
Virginia Beach-Norfolk-Newport News, VA-NC
MSA.
------------------------------------------------------------------------
In summary, there will be 21 50th-percentile FMR areas in FY 2012.
These areas are indicated by an asterisk in Schedule B, where all FMRs
are listed by state.
III. FMR Methodology
This section provides a brief overview of how the FY 2012 FMRs are
computed. For complete information on how FMR areas are determined, and
on how each area's FMRs are derived, see the online documentation at:
https://www.huduser.org/portal/datasets/fmr/fmrs/docsys.html&data=fmr12.
The proposed FY 2012 FMRs are based on current OMB metropolitan
area definitions and standards that were first used in the FY 2006
FMRs. OMB changes to the metropolitan area definitions through December
2009 are incorporated. There have been no area definition changes
published by OMB since the publication of the FY 2011 FMRs; therefore,
the FY 2012 area definitions are the same as those used in FY 2011.
A. Base Year Rents
The U.S. Census Bureau released standard tabulations of 5-year ACS
data collected between 2005 through 2009 in December of 2010. This is
the first time that updated data are available for all FMR areas and
their component geographies since the release of the 2000 Decennial
Census data (previous ACS releases only covered areas with 20,000 or
more in population). Because of this new data availability, HUD has the
ability to estimate new base rents based on the 5-year ACS data.
FMRs are typically based on gross rents for recent movers (those
who have moved into their current residence in the last 24 months).
FMRs prior to FY 2012 were calculated based on recent mover gross rent
estimates from the 2000 Census or from more recent HUD commissioned
surveys. However, due to the way the 5-year data are constructed, the
notion of recent mover is a murky concept. The 5-year data aggregates
all survey data collected between January 2005 and December 2009 for a
given area. Dollar values such as gross rents are transformed from the
time period in which they were collected to an overall 2009 value using
the national CPI. Attempting to limit the 5-year data to those who have
moved in the last 24 months severely limits the usefulness of the 5-
year data. Consequently, all areas are assigned as a base rent the
estimated two-bedroom standard quality 5-year gross rent from the
ACS.\3\ Because HUD's regulations mandate that FMRs must be published
as recent mover gross rents, HUD has created a recent mover bonus
factor to apply to the standard quality base rents assigned from the 5-
year ACS data. The recent mover bonus is described below.
---------------------------------------------------------------------------
\3\ For areas with a two-bedroom standard quality gross rent
from the ACS that have a margin of error greater than the estimate
or no estimate due to inadequate sample in the 2009 5-year ACS, HUD
uses the two-bedroom state non-metro rent for non-metro areas.
---------------------------------------------------------------------------
Local area rent surveys conducted in 2010 by HUD or PHAs are used
instead of ACS-base rents when the survey results are statistically
different from the ACS based rents. The surveys for Williamsport, PA,
MSA and Pike County, HMFA were evaluated and are being used in place of
the 2009 ACS data. A survey conducted in 2010 for the county group,
Bradford-Sullivan-Tioga, PA, was also evaluated, but there was no
statistical difference from the 2009 ACS data, updated to 2010.
B. Recent Mover Bonus Factor
Following the assignment of the standard quality two-bedroom rent
described above, HUD applies a recent mover bonus to these rents. The
following describes the process for determining the appropriate recent
mover bonus.
For non-metropolitan areas, HUD calculated the percentage change
between the 5-year standard quality rent for the non-metropolitan
portion of the state and the 1-year recent mover rent for the same
area.\4\ HUD then computes a z-score to determine if the 5-year
standard quality rent and the 1-year recent mover rent are
statistically different.\5\ If the two rents have a statistically
significant difference, the recent mover bonus factor is set at the
difference between the state non-metropolitan 1-year recent mover rent
and the state non-metropolitan 5-year standard quality rent expressed
as a percentage of the state non-metropolitan 5-year standard quality
rent. If the two rents are not statistically different, the recent
mover bonus is set to 1.0.
---------------------------------------------------------------------------
\4\ HUD ensures that the recent mover estimate for each non-
metropolitan portion of the state has at least 100 ACS sample
observations. If any state non-metropolitan recent mover rent is
based on fewer than 100 observations, the recent mover factor would
be calculated based on the 1-year recent mover data and 5-year
standard quality data for the entire state.
\5\ The change is considered statistically significant if Z is
greater than 1.645 where Z is equal to the change between the
estimate for the 1-year data and the 5-year estimate, over the
square root of the sum of the squared standard error for the 1-year
estimate and the squared standard error of the 5-year estimate.
---------------------------------------------------------------------------
For metropolitan areas, the recent mover bonus is calculated in a
similar fashion. HUD selects the smallest geographic area which
encompasses the metropolitan area in question that has at least 100
recent mover observations to use in the calculation of the recent mover
bonus factor. For HUD-defined subareas of OMB defined metropolitan
areas, this means that the recent mover bonus factor may be based on
the recent mover data for the subarea, the entire metropolitan area,
the metropolitan portions of the state, or finally the entire state
depending on which geographic level has 100 or more recent mover
observations.\6\ Once the area with 100 or more recent mover cases has
been determined, HUD calculates a z-score comparing the 1-year recent
mover two-bedroom gross rent with the 5-year standard quality two-
bedroom gross rent for the recent mover bonus area. If the two rents
are statistically different, HUD sets the recent mover bonus for the
FMR area as the percentage change between the two rents for the recent
mover bonus area. If the difference in rents is not statistically
different, the recent mover bonus factor for the FMR area is set to 1.
---------------------------------------------------------------------------
\6\ For metropolitan areas that cross state boundaries, and
where there are not 100 2-bedroom recent mover observations, HUD
uses the weighted average update factors for the encompassing state
metropolitan areas. HUD performs the Z-score test for statistical
difference between the 1-year recent-mover rent and 5-year standard-
quality rent separately for each state metropolitan part prior to
computing the weighted average update factor.
---------------------------------------------------------------------------
For FMR areas without 100 recent mover rents, a recent mover bonus
is
[[Page 52061]]
calculated at the smallest area level that does have 100 recent movers.
For metropolitan areas, this order is subarea, metropolitan area, state
metropolitan area, and state. For a nonmetropolitan area a recent mover
bonus based on the state nonmetropolitan area, or if that is not
available it is calculated on the basis of the whole state. For an
example of how the recent mover bonus is calculated for these areas,
please review this methodology for Abilene, TX MSA and Baldwin County,
AL, in the FY 2012 documentation system: https://www.huduser.org/portal/datasets/fmr/fmrs/docsys.html&data=fmr12.
This process produces an ``as of'' 2009 recent mover two-bedroom
base gross rent for the FMR area.\7\
---------------------------------------------------------------------------
\7\ The Pacific Islands (Guam, Northern Marianas and American
Samoa) as well as the US Virgin Islands are not covered by ACS data.
As part of the 2010 Decennial Census, these areas were covered by a
long-form survey. The results gathered by this long form survey will
not be available until 2012. Therefore, HUD uses the national change
in gross rents, measured between 2008 and 2009 to update last year's
FMR for these areas. Puerto Rico is covered by the Puerto Rico
Community Survey within the American Community Survey; however, the
gross rent data produced by the 2005-2009 ACS are not sufficient to
adequately house voucher holders in Puerto Rico. This is due to the
limited ability to eliminate units that do not pass the voucher
program's housing quality standards. Consequently, HUD is updating
last year's FMRs for Puerto Rico using the change in rents measured
from all of Puerto Rico measured between the 2008 and 2009. For
details behind these calculations, please see HUD's Proposed FY 2012
FMR documentation system available at: https://www.huduser.org/portal/datasets/fmr/fmrs/docsys.html&data=fmr12.
---------------------------------------------------------------------------
C. Updates From 2009 to 2010
The ACS data is updated through 2009 using the one-half of the
change in annual CPI measured between 2008 and 2009. This data is
further updated through the end of 2010 using the annual change in CPI
from 2009 to 2010. As in previous years, HUD uses Local CPI data for
FMR areas with at least 75 percent of their population within Class A
metropolitan areas covered by local CPI data. HUD uses Census region
CPI data for FMR areas in Class B and C size metropolitan areas and
nonmetropolitan areas without local CPI update factors.
D. Trend From 2010 to 2012
The national 1990 to 2000 average annual rent increase trend of 3
percent is applied to end-of-2010 rents for 15 months, to derive the
proposed FY 2012 FMRs with a date of April 2012.
On March 9, 2011 (76 FR 12985), HUD published a notice requesting
public comment regarding the manner in which it calculates the trend
factor used in determining FMR estimates to meet the statutory
requirement that FMRs be ``trended so the rentals will be current for
the year to which they apply.'' HUD's notice provided several proposed
alternatives to the current trend factor and requested comments on the
alternatives as well as suggestions of other ideas. These comments are
discussed in further detail later in this notice, but, in short, the
commenters did not arrive at a consensus over how to change the
trending methodology. Therefore, HUD will continue to consider the
suggestions provided in the comments and make plans to implement a new
methodology with the publication of FY 2013 Proposed FMRs.
E. Bedroom Rent Adjustments
HUD calculates the primary FMR estimates for two-bedroom units.
This is generally the most common size of rental units and, therefore,
the most reliable to survey and analyze. Formerly, after each Decennial
Census, HUD calculated rent relationships between two-bedroom units and
other unit sizes and used them to set FMRs for other units. HUD did
this because it is much easier to update two-bedroom estimates and to
use pre-established cost relationships with other bedroom sizes than it
is to develop independent FMR estimates for each bedroom size. HUD did
the last update of bedroom-rent relationships using 2000 Census data. A
publicly releasable version of the data file used for the derivations
of rent ratios is available at https://www.huduser.org/portal/datasets/fmr/CensusRentData/.
HUD made adjustments using 2000 Census data to establish rent
ratios for areas with local bedroom-size intervals above or below what
are considered reasonable ranges, or where sample sizes are inadequate
to accurately measure bedroom rent differentials. Experience has shown
that highly unusual bedroom ratios typically reflect inadequate sample
sizes or peculiar local circumstances that HUD would not want to
utilize in setting FMRs (e.g., luxury efficiency apartments that rent
for more than typical one-bedroom units). HUD established bedroom
interval ranges based on an analysis of the range of such intervals for
all areas with large enough samples to permit accurate bedroom ratio
determinations. These ranges are: efficiency FMRs are constrained to
fall between 0.65 and 0.83 of the two-bedroom FMR; one-bedroom FMRs
must be between 0.76 and 0.90 of the two-bedroom FMR; three-bedroom
FMRs must be between 1.10 and 1.34 of the two-bedroom FMR; and four-
bedroom FMRs must be between 1.14 and 1.63 of the two-bedroom FMR. HUD
adjusts bedroom rents for a given FMR area if the differentials between
bedroom-size FMRs were inconsistent with normally observed patterns
(i.e., efficiency rents are not allowed to be higher than one-bedroom
rents and four-bedroom rents are not allowed to be lower than three-
bedroom rents).
HUD further adjusts the rents for three-bedroom and larger units to
reflect HUD's policy to set higher rents for these units than would
result from using unadjusted market rents. This adjustment is intended
to increase the likelihood that the largest families, who have the most
difficulty in leasing units, will be successful in finding eligible
program units. The adjustment adds bonuses of 8.7 percent to the
unadjusted three-bedroom FMR estimates and adds 7.7 percent to the
unadjusted four-bedroom FMR estimates. The FMRs for unit sizes larger
than four bedrooms are calculated by adding 15 percent to the four-
bedroom FMR for each extra bedroom. For example, the FMR for a five-
bedroom unit is 1.15 times the four-bedroom FMR, and the FMR for a six-
bedroom unit is 1.30 times the four-bedroom FMR. FMRs for single-room
occupancy units are 0.75 times the zero-bedroom (efficiency) FMR.
For low-population, nonmetropolitan counties with small 2000 Census
samples of recent-mover rents, HUD uses Census-defined county group
data to determine rents for each bedroom size. HUD made this adjustment
to protect against unrealistically high or low FMRs due to insufficient
sample sizes. The areas covered by this estimation method had less than
the HUD standard of 200 two-bedroom, Census-tabulated observations.
The 2010 Decennial Census did not collect the information necessary
to update unit bedroom rent relationships. HUD intends to use the 2006-
2010 5-year ACS data to update these relationships for the FY 2013
FMRs. HUD is choosing to wait until next year to ensure something
closer to a consistent 10 year time period, but more importantly,
because the 2010 ACS data will be published based on the 2010 Decennial
Census geographic definitions.
IV. Manufactured Home Space Surveys
The FMR used to establish payment standard amounts for the rental
of manufactured home spaces in the HCV program is 40 percent of the FMR
for a two-bedroom unit. HUD will consider modification of the
manufactured home space FMRs where public comments present
statistically valid survey data showing the 40th-percentile
manufactured home space rent
[[Page 52062]]
(including the cost of utilities) for the entire FMR area.
All approved exceptions to these rents that were in effect in FY
2011 were updated to FY 2012 using the same data used to estimate the
Housing Choice Voucher program FMRs. If the result of this computation
was higher than 40 percent of the new two-bedroom rent, the exception
remains and is listed in Schedule D. The FMR area definitions used for
the rental of manufactured home spaces are the same as the area
definitions used for the other FMRs.
V. Review of Comments and HUD's Responses Regarding the Methodology for
Calculating the FMR Trend Factor
As previously stated, the comments delivered to HUD in response to
the March 9, 2011 (76 FR 12985) Federal Register notice concerning the
trend factor methodology yielded only one consensus, the need for a
trend factor. This section summarizes the comments received and
provides HUD's responses. In order to respond to all comments received,
HUD has summarized the comments below, and has grouped the comments
into two sections: General Comments and Comments on Specific HUD
Questions.
A. General Comments
1. Ensure fairness in FMR methodology. One commenter states that
one of the most basic needs is housing and, especially in these times,
many citizens who are willing to work lack opportunities to do so. As a
result, these individuals may not have enough to meet their basic
needs. The commenter requests that whatever methodology chosen, that it
fairly and accurately evaluate the FMR for those in need, so that they
might assist these individuals in meeting this most basic need.
HUD Response: HUD's methodology for calculating Fair Market Rents
is constructed to be as fair as possible using the most recent data
available. HUD will keep these comments in mind as it determines the
appropriate method for future FMR calculation decisions.
2. FMR methodology fails to consider the cost of accessible units.
Another commenter states that the process for calculating FMRs is
neither fair nor sensible when applied to units that are wheelchair
accessible. The current HUD process treats accessible and non-
accessible units as being similar, both in terms of availability and
price, when evidence suggests the opposite. The commenter states that
until HUD requires a separate analysis of FMRs for accessible units,
HUD will be making policy in the dark.
HUD Response: HUD's regulations allow PHAs to approve a higher
payment standard on a case-by-case basis, as a reasonable accommodation
for a family with a person with disabilities (refer to PIH Notice 2010-
11, which was extended by PIH Notice 2011-19). There is no data
available that would allow HUD to calculate a separate FMR for
accessible units.
3. Correct failure of FMRs to consider cost of accessible units.
The same commenter recommends that HUD, to correct the defect with
respect to FMRs for wheelchair accessible units, (1) grant a 10 percent
increase in rent (not to the 50th percentile, but 10 percent more
dollars to the FMR), (2) grant an additional 10 percent increase with
HUD approval; and (3) grant an extension of time (allowing the family
to search longer for an apartment which may not even exist in that
price range). The commenter notes that while there may not be
statistical evidence regarding the availability of accessible
apartments at current FMRs, the commenter's experience as a person with
a disability and an attorney with 30 years experience in housing law is
that families looking for accessible units have fewer housing choices
that cost more than average.
HUD Response: HUD's regulations concerning housing for disabled
persons allow PHAs to request exception payment standards as a
reasonable accommodation for families with a disabled family member.
4. Maintain the publication of FMRs in a timely manner and on a
certain date. Two commenters emphasize the importance of timely
publication of HUD's FMRs. They state that timely publication permits
PHAs and property owners to be able to forecast and plan for rent
adjustments and operating expense budgets. Further, FMRs are used in
the determination of annual income limits which cannot be published
until FMR calculations are completed. Without a date certain for
publication of FMRs, uncertainty surrounding the timing of the
publication of income limits could worsen and owners of Low Income
Housing Tax Credit (LIHTC) properties would not be able to set annual
rents.
HUD Response: Under current statutes and regulations, the
publication date for Final FMRs remains October 1. Under current rules,
FMRs must also be published for comment and given at least a 30-day
comment period. HUD has suggested changes to the manner in which the
publication of FMRs is completed, and due to the local coverage of ACS
data, HUD has recommended that proposed FMRs no longer are necessary
and that comments with requests for FMR reviews could be made following
the publication of Final FMRs.
5. Review of Alternative Tending Methodologies. One commenter
addressed each of the alternative trending methods suggested in the
notice. The commenter states that it does not support Alternative 1
(use of overall Consumer Price Index (CPI) data) because local and
regional CPI provides a more accurate FMR calculation for specific
geographic areas than national CPI data. It also recommends that should
HUD use national CPI data rather than local or regional data, it should
limit its use to rent and utility, instead of overall, CPI data. The
commenter supports Alternative 2 (use of rent and utilities CPI) since,
according to the commenter, the use of a local or regional trend factor
is a more appropriate way to calculate FMRs. The commenter does not
support the use of proprietary information (Alternative 3) since the
likelihood of this data providing timely, complete, and usable data,
particularly for rural and remote areas, is low. The commenter also
supports alternative 4 (seeking legislative change, trending to the
midpoint of the fiscal year) as providing a good balance between the
use of the most recent local data available and the need to publish the
trend factor in advance. Finally, the commenter does not support
Alternatives 5 (seeking legislative change, trending to the beginning
of the fiscal year) and requests more information to fully consider
Alternative 6 (eliminating the need for trending by using the most
recent half-yearly CPI and publishing final FMRs between October and
December).
HUD Response: HUD takes these comments under advisement, and
continues to consider all of these methods as well as others suggested
by different commenters.
B. Comments on Specific HUD Questions
HUD Question: Should HUD continue to use a constant trend factor or
should the trend factor be updated annually to attempt to capture
market changes?
1. Four commenters recommend that HUD use a trend factor that is
updated annually, noting that a constant trend factor can substantially
understate true costs and put clients who depend on rental assistance
and landlords who accept vouchers, at risk. One commenter, for example,
states that the volatility of utility costs makes it critical that the
trend factor be updated
[[Page 52063]]
annually to capture market changes. According to the commenter, this is
especially important in the Northeastern United States where heating
accounts for a significant portion of utility costs and price
volatility is exacerbated by the significant use of fuels such as fuel
oil and natural gas. According to the commenter, unless the trend
factor is updated annually HUD will not be able to fairly account for
utility price volatility. Annual updates of the trend factor would
minimize the negative impacts of market changes.
2. A commenter states that the use of the CPI Fuels & Utilities
Index masks changes in specific fuels used for home energy, and
recommends that HUD replace the use of the Fuels & Utilities Index with
three indices (Electricity, Utility (piped) Gas service and Motor
Fuels) with the indices used to calculate a state specific trend factor
by weighting them based on the percentage of rental units in the state
heated by each of the 3 fuels, as provided by the ACS. The commenter
recommends use of a fuel oil-specific index if one was available, but
believes that the price of heating fuel oil tracks motor fuel prices
enough that the Motor Fuels Index is a fair substitute.
3. Another commenter supports use of a trend factor that is updated
annually but cautioned that HUD build in stopgaps that eliminate sharp
peaks and valleys due to short-term instability. HUD might consider,
for example, a stopgap that prevents the factor from changing more than
a certain percentage each year. Another commenter recommends that HUD
use a rolling average or other techniques to eliminate significant
increases or decreases in FMRs. A third commenter states that using a
national, constant trending factor does not make sense in a world where
many of HUD's programs depend on the local market and its changing
activity. The commenter recommends the use of a trend factor that can
be updated annually and based on local or regional data. The commenter
also cautions that the trend factor should not be negative, as that
could have serious programmatic implications, particularly for Section
8 project-based and tax-credit properties. As a result, HUD should
treat trends less than or equal to zero growth as zero growth.
4. One commenter recommends that HUD continue its use of a constant
trend factor since it minimizes large fluctuations from year to year.
The commenter stated that a 10-year or 5-year trending factor would
accomplish this goal. The commenter specifically recommends, however,
that HUD use a single, national trend factor, based on a rolling five
years of national median gross rent in the ACS. Since the commenter
does not believe that ACS data are reliable enough to use as a basis
for a trend factor prior to 2005, the year that the ACS was first fully
implemented and collected data from every county or county equivalent
in the country, the commenter states that a 5-year rolling average
using ACS could be implemented within a year, as soon as the ACS data
becomes available.
HUD Response: While more commenters supported the use of a trend
factor updated annually, all were concerned with controlling volatility
in the trend factor. Some who want an annual trend factor were only
willing to consider annual increases. Instituting caps and floors for
annual trend factors would be new to the FMR estimation process and not
necessarily improve the process. Using more detailed utility data would
be of little benefit. The more detailed the index of the CPI, the
larger the geographic area for which this data is available on a
current basis. The ACS does not provide data based on type of heating
fuel for rental units, as one commenter suggested, so allocating
national utility data to states and determining an appropriate fuel
index cannot be done with the ACS. Caps and floors, such as never
allowing the trend factor to be less than zero, could be instituted to
reduce volatility, but this would also reduce anticipated improvements
in accuracy of trend estimates.
HUD Question: The constant trend factor that HUD has used in the past
cannot be replicated for 2000 to 2010 based on available 2010 Census
data. If a constant trend factor is appropriate, what data and time
period should be used for a constant trend factor?
1. One commenter restates its position that a constant trend factor
is not appropriate because the results will not reflect the reality of
the local rental marketplace. Another commenter that expressed support
for a trend factor that is updated annually, and states, should HUD use
a constant trend factor, that HUD consider using ACS data for a similar
period as has been used previously (10 years).
2. Another commenter expressed a preference for the CPI as the most
appropriate basis for the trend factor, and restating the disadvantages
of using proprietary data on rental markets. The commenter states that
CPI would not add too much additional variation to FMR estimates,
noting that FMRs already vary considerably from year-to-year, which in
some years, has nothing to do with market conditions but rather with
corrections from prior years. Should the CPI be selected as the basis
for the trend factor, the commenter recommends that HUD use the BLS
series that calculate annual changes to avoid seasonality issues, since
seasonal adjustments are not available at the local/regional level.
3. The same commenter states that HUD's use of a rolling average of
local/regional ACS increases in gross rent would be a viable option, as
long as HUD determined that such use better met programmatic needs of
key constituencies using FMRs in their operations. The commenter
concludes that any factor that is more locally-derived and that
reflects changes in the market would be an improvement over the current
constant, nationally-derived factor.
HUD Response: Since most commenters do not support a constant trend
factor, any consensus on this issue is irrelevant. The one commenter
that supports the use of a constant trend factor would use the gross
rents from the ACS to calculate the trend factor and that is the only
way to have a constant long-term trend factor. Although some commenters
recommend using CPI data for a constant long-term trend factor, their
comments lacked specificity as to how to make the concept operational.
CPI data seems best suited to a trend factor that changes on an annual
albeit lagged, basis.
HUD Question: Is a national trend factor appropriate, or should HUD
limit itself to use of more local options such as regional factors?
1. One commenter states that a regional or local trend factor is
more appropriate than a national factor because it provides the most
accurate FMR calculation for specific geographic areas. A second
commenter agreed, adding that ideally the trend factors should be state
specific because there can be substantial differences in utility costs
(and the factors that affect them) even within a region. A third
commenter encouraged HUD update factors based on regional trends and
those in the largest metro areas, or use a data set that provides the
lowest level of geography without causing undue problems with sample
size or computation or delays in the release.
2. A commenter recommends that HUD consider using regional CPI
indices as they are readily available and include regional Fuels and
Utilities Index, and more specific Indices for certain utilities (e.g.,
piped gas). Another commenter states that basing the trend factor on
monthly local or regional CPI data would be particularly
[[Page 52064]]
ill-advised because monthly CPI numbers are available for a very
limited set of local areas, and when available, only every other month
or semi-annually. In addition, the commenter states that only the
national CPI data are seasonally adjusted and that potential problems
with using seasonally unadjusted monthly data should be enough to
preclude their use in computing FMRs.
HUD Response: As with the other two issues, one commenter is
concerned with the volatility of the data and prefers the use of a
national, constant trend factor other commenters want the trend factor
to change annually and be at least regional, or the lowest level of
geography that is possible. HUD reiterates that these suggestions are
contradictory: The more detailed the data the less often it is
published, and then at a broader geography. That is, more detailed fuel
data cannot be used along with data for the lowest geography possible.
HUD Question: Should HUD allow changes between the proposed and final
FMRs resulting from updated trend factors?
1. One commenter states that HUD should be able to allow changes
between proposed and final FMRs as long as the changes result in rents
that more accurately reflect current, local market conditions. A second
commenter agrees that permitting HUD to make changes would permit HUD
to use the most recent and most local data possible. The commenter also
stated that it would be more effective to discontinue the publication
of proposed FMRs, but allow for public comments on the final FMRs,
releasing revised final FMRs as needed.
2. One commenter states that allowing updates would provide for
less certainty for housing entities. Assuming the proposed FMRs are
susceptible to challenge prior to becoming final, the commenter
concludes that automatic changes due to updated trend factors should
not be necessary.
HUD Response: The purpose of the publishing proposed FMRs would be
circumvented if HUD re-estimated FMRs for the final publication using
more current data. All proposed FMRs would be subject to change. HUD
would prefer not to publish proposed FMRs for comment, but such a
change would require a change to the statute.
HUD Question: Is using the more current data for estimating the FMRs
more important than providing for public comment before establishing
final FMRs for effect?
1. Most commenters support HUD's continued publication of the FMRs
for comment. One commenter, for example, notes that the opportunity to
comment may present HUD with current data that ensures that changes to
FMRs reflect actual changes in the local rental market. The commenter
states that a shorter comment period of 30 days may be appropriate and
reasonable if HUD uses regional data adjusted for state specific
characteristics for estimating trends. The commenter added that a 90-
day comment period should apply if HUD changes more than just FMR
levels, (e.g., changing the geographic regions where the FMRs apply) or
if HUD does not start with regional and State specific data for
estimating trends.
2. Another commenter that supports the elimination of a constant
national trend factor states that using the most recent data possible
would still not merit eliminating the public comment period. The
commenter stated public comment permits its members to assess the
proposed FMRs and whether they need to request reevaluation in light of
current market conditions. Changing the FMRs between the publication of
the proposed and final estimates would render the public comment
process meaningless.
3. A third commenter states that HUD's use of more current regional
or local factors is more important than providing for public comment
before establishing the final FMRs as long as there is the opportunity
for public comments on the final FMRs and HUD is willing to revise the
FMRs as necessary. The commenter recommends, however, that HUD release
as proposed for public comment any significant changes to the data
sources and the methodology it intends to use in calculating final FMRs
at least 60 days prior to their release.
4. One commenter strongly opposes the elimination of a public
comment period, stating that public comment adds to the reliability of
the FMRs by ensuring that the expertise of individuals affected by the
FMRs is considered before HUD publishes its final FMRs. Without a
public comment period, there would be no way to contest FMR levels,
changes in methodology, or other policy issues. The commenter concludes
that while HUD suggests that using CPI data would provide more recent
data and potentially shorten the trending period, it does not believe
this is an acceptable trade off for losing the certainty of publication
on October 1 and for losing the public comment period.
HUD Response: HUD would prefer to eliminate the comment period, but
no commenters support this position. The commenters, if anything, want
a longer comment period whenever there are substantial changes to FMR
estimation methodology. Given the timing of the data releases, longer
comment periods of 60 to 90 days are not possible even when there are
major changes, such as for geographic areas. In the past HUD has dealt
with this issue of short comment periods by publishing revised final
FMRs and sees this as an appropriate mechanism for the future. Clearly
the commenters want a formal comment period for FMRs, so HUD will take
this under advisement.
HUD Question: Is the seasonality of rent and utility prices important
in considering what month to collect data for trending? If so, how
should HUD select the month to use or to compare it with?
1. One commenter that strongly supported the use of an annually
updated trend factor states that if current, regional data with
appropriate state adjustments are used, seasonality adjustments should
be relatively unimportant. Another commenter states that seasonality is
an important consideration if trending uses data releases separated by
less than a year. A third commenter states that seasonality should be
used rather than be avoided, particularly depending on the geographic
area affected.
HUD Response: There is disagreement on whether seasonality is a
concern. HUD views seasonality as a concern because it potentially adds
to the volatility of the FMR estimate. While some have proposed caps
and floors for trend factor changes to reduce the volatility of FMR
estimates, caps and floors tend to increase the noise in an estimate so
that constrained trends will add little accuracy to FMR estimates.
HUD Question: Is double counting of CPI data a concern?
1. Two commenters address this issue. Both stated that they
recognize this issue but under the current proposals either do not have
a strong concern about the issue or feel that the issue is not
significant.
HUD Response: HUD believes that when prices are increasing, the
double counting of the CPI indices will not be a concern except
possibly for budgetary reasons. However, when prices are falling and
the FMRs could drop, this
[[Page 52065]]
would become an issue with tenants, and landlords. For these reasons
HUD does not find double-counting the CPI data, which is already lagged
when used for the FMRs, to be an effective forecast of trend.
HUD Question: Is it more important to base a trend on the most recent
data possible, or on the most specific geography?
1. One commenter states that both issues are important, and it
should not be necessary to choose one over the other. The commenter
notes that there are good data sources available that allow for use of
both recent and locally relevant data, such as the CPI and ACS. Another
commenter gave slight preference to more specific geography, but within
limits. Specifically, the commenter states that if using data for areas
smaller than the largest metro areas and census regions requires using
significantly older data and leads to significant lags in the release
of the FMRs, then more local specificity would cease to be the
priority.
2. A third commenter states that geography is more important
because market conditions are more likely to show greater variance from
region to region over a given time period than that reflected in local
or regional market conditions over the same period.
HUD Response: HUD is already using the most current ACS and CPI
data at the lowest level of geography. There is no way to use current
data at the lowest level of geography without ensuring publication of
the proposed FMRs regularly in mid- to late-August. The only more
current data at the lowest geographic level that could be incorporated
for a trend factor, would be the CPI data for the first-half of the
year, which comes out late July. Waiting this late for calculation of
FMRs would push the proposed FMR Federal Register notice to mid-August
at the earliest. There would barely be time for a 30-day comment period
and recalculation of final FMRs in time for the October 1 final FMR
publication. There would still be double counting of the CPI data,
which HUD considers problematic.
HUD Question: Is it better to use rent and utility CPI data in
developing a trend factor or should other prices be included?
1. One commenter states that in addition to capturing changes in
rent and utilities generally, it is also important to account for
changes in heating fuel prices specifically because the impacts can
vary significantly State by State, and even within a region. A second
commenter states that it would not in advance exclude from
consideration additional specific data that would assist FMRs to better
reflect the price a household must be able to pay in a specific
location in order to be reasonably assured of finding a decent, modest
and safe home. The commenter states, however, that generally rent and
utility costs in the CPI are likely sufficient.
HUD Response: HUD believes that the rent and utility CPI data
currently used is appropriate. The utility CPI data cannot be changed
to provide a greater emphasis on heating fuel as appropriate weighting
of this fuel sources is not possible.
HUD Question: Should HUD pursue legislative and regulatory changes to
reduce or eliminate the need for trending?
1. One commenter supported HUD seeking the legislative changes as
proposed in the FY 2012 HUD budget, trending to the midpoint of the
fiscal year and using CPI rent and utility data to calculate the trend.
According to the commenter, this alternative provides a good balance
between the use of the most recent local data available and the need to
publish the trend factor in advance. The use of local and regional CPI
rent and utility data would provide for more accurate FMR calculations
than the use of national CPI data, and the application of the factor
through the midpoint of the fiscal year would provide balance in the
final FMR calculation. Another commenter states that solutions other
than trending in the calculation of FMR may be acceptable as long as
the calculation includes some mechanism for considering current market
conditions.
HUD Response: HUD would prefer to reduce the period of trending
down from a 15-month period to a 6-month or 9-month period, to reduce
the impact of this factor. To do so would require a legislative change
that assumes the FMR represents a beginning of fiscal year rent, rather
than a middle of fiscal year rent.
HUD Question: Is there a data source or aggregation of sources of data
provided on a more current basis than the CPI that could be used in the
FMR estimation process?
1. No commenter responded that it was aware of any data source or
aggregation of sources of data provided on a more current basis than
the CPI that could be used in the FMR estimation process.
HUD Response: HUD agrees, but the use of the most current CPI data
at the lowest level of geography is the use of the first half of the
year data and, as discussed earlier, incorporating this data makes the
publication of the proposed FMR so late as to not allow time for
meaningful comments.
Given the divergence in comments, HUD has determined that
additional study is required to select an appropriate methodology to
employ for this program parameter. HUD will announce a new trending
methodology in the FY 2013 proposed FMRs.
VI. Proposal To Formalize a Publication Date for Income Limits
In the comments filed regarding the trend factor, several
commenters reminded HUD of the need for publication of FMRs by a
certain date. One of the reasons submitted is because HUD uses FMRs in
the calculation of income limits used in various federal, state and
local housing programs. Currently, there is no statutorily required
publication date for income limits. In recent years, HUD has attempted
to incorporate the most recent vintage of ACS data into the income
limits calculations; however, due to the increase in the number and
scope of ACS data products, the publication date for income limits has
become later each year.
In an attempt to be responsive to the concerns of the users of
Income Limits, HUD is proposing to give the publication of area median
family income estimates and income limits a more certain date.
Currently, HUD is considering two possible timeframes for the
publication of median family incomes and income limits. The first date
would be October 1 at the same time that Final FMRs are published. The
second date would be December 1. In either case, if HUD were to move
the publication date, the FY 2012 Median Family Income estimates and
the Income Limits would not benefit from any additional ACS data over
what was included in the FY 2011 publication. The FY 2012 Median Family
Income estimates and Income Limits, published on either October 1,
2011, or December 1, 2011, under this proposal, would be updated with
the FY 2012 FMRs for the purposes of evaluating areas of relatively
high or low income to housing cost relationships and would be further
updated with CPI to the end of 2010 and trended to the mid-point of FY
2012 in a manner similar to what was done with the FY 2011 Median
Family Income estimates and Income Limits. The FY 2013 Median Family
Income estimates and Income Limits, published on October 1, 2012, or
December 1, 2012, would be the first set of median family income
estimates and income limits
[[Page 52066]]
updated with ACS data collected from 2006-2010.
VII. Request for Public Comments
HUD seeks public comments on the methodology used to calculate FY
2012 Proposed FMRs and the FMR levels for specific areas. Comments on
FMR levels must include sufficient information (including local data
and a full description of the rental housing survey methodology used)
to justify any proposed changes. Changes may be proposed in all or any
one or more of the unit-size categories on the schedule.
Recommendations and supporting data must reflect the rent levels that
exist within the entire FMR area.
For the supporting data, HUD recommends the use of professionally
conducted Random Digit Dialing (RDD) telephone surveys to test the
accuracy of FMRs for areas where there is a sufficient number of
Section 8 units to justify the survey cost of approximately $35,000-
$50,000. Areas with 2,000 or more program units usually meet this cost
criterion, and areas with fewer units may meet it if actual rents for
two-bedroom units are significantly different from the FMRs proposed by
HUD.
PHAs in nonmetropolitan areas may, in certain circumstances,
conduct surveys of groups of counties. HUD must approve all county-
grouped surveys in advance. PHAs are cautioned that the resulting FMRs
may not be identical for the counties surveyed; each individual FMR
area will have a separate FMR based on the relationship of rents in
that area to the combined rents in the cluster of FMR areas. In
addition, PHAs are advised that counties where FMRs are based on the
combined rents in the cluster of FMR areas will not have their FMRs
revised unless the grouped survey results show a revised FMR
statistically different from the combined rent level.
PHAs that plan to use the RDD survey technique should obtain a copy
of the appropriate survey guide. Larger PHAs should request HUD's
survey guide entitled ``Random Digit Dialing Surveys: A Guide to Assist
Larger Public Housing Agencies in Preparing Fair Market Rent
Comments.'' Smaller PHAs should obtain the guide entitled ``Rental
Housing Surveys: A Guide to Assist Smaller Public Housing Agencies in
Preparing Fair Market Rent Comments.'' These guides are available from
HUD USER on 800-245-2691, or from HUD's Web site, in Microsoft Word or
Adobe Acrobat format, at the following address: https://www.huduser.org/datasets/fmr.html.
Other survey methodologies are acceptable in providing data to
supp