General Services Administration Acquisition Regulation; Submission for OMB Review; GSA Form 1217, Lessor's Annual Cost Statement
Under the provisions of the Paperwork Reduction Act of 1995 (44 U.S.C. Chapter 35), the Regulatory Secretariat will be submitting to the Office of Management and Budget (OMB) a request to review and approve a new information collection requirement regarding Lessor's Annual Cost Statement. A request for public comments was published in the Federal Register at 74 FR 63704, on December 4, 2009. No comments were received. Public comments are particularly invited on: Whether this collection of information is necessary for the proper performance of functions of the FAR, and whether it will have practical utility; whether our estimate of the public burden of this collection of information is accurate, and based on valid assumptions and methodology; ways to enhance the quality, utility, and clarity of the information to be collected; and ways in which we can minimize the burden of the collection of information on those who are to respond, through the use of appropriate technological collection techniques or other forms of information technology.
Privately Owned Vehicle Mileage Reimbursement Rates
The General Services Administration's (GSA) annual privately owned vehicle (POV) mileage reimbursement rate reviews have resulted in new CY 2011 rates for the use of privately owned automobiles (POA), POAs when Government owned automobiles (GOA) are authorized, and motorcycles for official purposes. No change resulted for the use of privately owned airplanes. FTR Bulletin 11-03 establishes these new CY 2011 mileage reimbursement rates, pursuant to the process discussed below. This notice of subject bulletin is the only notification of revisions to the POV rates to agencies other than the changes posted on the GSA website. GSA determines these rates by reviewing the annual standard automobile study conducted by the Internal Revenue Service, as well as conducting motorcycle and aircraft studies, and/or by applying consumer price index data.