What GAO Found
Some federal agencies have been statutorily required to use the “10-20-30 formula” when allocating funding for certain programs. That is, agencies must allocate at least 10 percent of designated funds to counties with poverty rates of at least 20 percent over the last 30 years (persistent-poverty counties). However, GAO found the formula has not always increased the proportion of funding awarded to those counties.
- The Department of Commerce’s Economic Development Administration (EDA) and Department of the Treasury’s Community Development Financial Institutions (CDFI) Fund both awarded at least 10 percent of designated funds to persistent-poverty counties in fiscal years 2017–2020, but generally had done so before 2017. Most of their programs subject to the formula already were required to target funds to economically distressed areas.
- The Department of Agriculture’s (USDA) Rural Development awarded less than 10 percent of designated funds to persistent-poverty counties in at least one fiscal year for six out of 10 appropriations accounts. Rural Development set aside 10 percent of designated funds for use in those counties, which officials said met the statutory requirement to allocate these funds. Officials said some programs had not received a sufficient number of applications from these counties to meet the threshold because the programs are not well-suited to areas with severe poverty. For example, it may not be financially prudent for local governments in persistent-poverty counties to participate in a loan program to finance community facilities if the governments cannot service the debt.
The purpose of the 10-20-30 formula—to increase the proportion of funding awarded to persistent-poverty counties—could be better achieved by focusing its application on programs that do not already target such areas and which can provide meaningful assistance to economically distressed communities.
The three agencies GAO reviewed used different datasets and methodologies to identify persistent-poverty counties for the 10-20-30 formula. Appropriations laws for 2017–2020 required the agencies to use data from different years and sources, some outdated, to identify the counties. EDA also used a methodology that identified more than 100 additional persistent-poverty counties, than the other two agencies. Requiring each agency to identify persistent-poverty counties in this way is inefficient, and the inconsistency limits the ability to compare targeted funding across agencies. Using a uniform list of persistent-poverty counties, updated each year, would reduce administrative costs and facilitate assessments of the formula’s impact across agencies. Such a measure also could help ensure more consistent investment in areas with current poverty rates of at least 20 percent. USDA’s Economic Research Service has the technical capabilities to produce such a list and officials said that doing so each year would not be resource intensive because the agency already publishes other related work using the same data.
Why GAO Did This Study
Since 2009, the 10-20-30 formula has been applied to appropriations for certain federal programs and accounts. This includes programs and accounts administered by USDA’s Rural Development, Treasury’s CDFI Fund, and Commerce’s EDA that averaged more than $10 billion in each fiscal year from 2017 to 2020.
GAO was asked to review certain issues related to the 10-20-30 formula. This report examines (1) the proportion of funds subject to the 10-20-30 formula that these agencies awarded in persistent-poverty counties in 2017–2020 and the effects on funding levels to these areas, and (2) how agencies identify persistent-poverty counties.
GAO analyzed agency budget and administrative data for fiscal years 2017—2020. GAO also reviewed documentation, such as program descriptions and funding notices, and interviewed agency officials.
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DOD developed an NFR Database that contains useful information on deficiencies that financial auditors identified and actions to address them, which has improved its ability to monitor and report on audit remediation efforts using dashboard reports based on real-time data contained in the database. However, certain database information on which these reports are based may not be accurate, reliable, and complete. For example, although DOD reviews NFR Database information monthly, it does not follow up on instances of outdated information or other exceptions identified to ensure components resolve them timely. Without complete and reliable information on DOD's audit remediation efforts, internal and external stakeholders may not have quality information to effectively monitor and measure DOD's progress. DOD is responsible for about half of the federal government's discretionary spending, yet it remains the only major federal agency that has been unable to receive a clean audit opinion on its financial statements. After years of working toward financial statement audit readiness, DOD underwent full financial statement audits in fiscal years 2018 and 2019. This report, developed in connection with fulfilling GAO's mandate to audit the U.S. government's consolidated financial statements, examines the (1) actions taken by DOD and the military services to prioritize financial statement audit findings; (2) extent to which DOD and its components developed CAPs to address audit findings in accordance with OMB, DOD, and other guidance; and (3) extent to which DOD improved its ability to monitor and report on audit remediation efforts. GAO reviewed documentation and interviewed officials about DOD's and the military services' audit remediation prioritization, monitoring, and reporting. GAO selected a generalizable sample of 98 NFRs to determine whether CAPs to address them were developed according to established guidance. GAO is making five recommendations to DOD to improve the quality of CAPs to address audit findings and information in the NFR Database and related reports provided to internal and external stakeholders to monitor and assess audit remediation efforts. DOD concurred with three of GAO's recommendations, partially concurred with one recommendation, and disagreed with one recommendation. GAO continues to believe that all the recommendations are valid. For more information, contact Asif A. Khan at (202) 512-9869 or firstname.lastname@example.org.[Read More…]
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