FNS uses a two-tier system to measure errors in eligibility and benefit determination for SNAP. This feasibility study identifies all processes and components that would be required for a one-tier federal SNAP QC system, including the procedural, staffing, and organizational changes and the technological and data-sharing infrastructures.
SNAP Payment Error Rates - Fiscal Year 2018
The Federal Government fully funds SNAP benefits, but FNS and state agencies share administrative expenses, with each paying about 50 percent. State administrative costs per case varies widely by state. This study explores a number of factors, including state economic conditions, SNAP caseload characteristics, state SNAP policies, to try to explain the variation by state.
These reports fulfill the directive contained in section 749(g) of the Agriculture, Rural Development, Food and Drug Administration, and Related Agencies Appropriations Act of 2010 (PL 111-80) for USDA to submit an annual report to Congress detailing progress in developing and testing alternative methods of providing access to food for low-income children in urban and rural areas during the summer months when schools are not in regular session.
Expenditures on Children by Families provides estimates of the cost of raising children from birth through age 17 for major budgetary components. The most recent version of the report was published in 2017 and estimates the cost of raising children born in 2015. Currently, USDA is evaluating the methods used to inform this report to ensure they reflect best practices in the field.
This study sought to better understand the root causes of SNAP application timeliness concerns. A comprehensive in-depth study of program components and practices adopted by the 50 states and the District of Columbia to process SNAP applications was conducted.
This report describes the feasibility of a modeling approach to forecast tiering error rates based on prior data, in lieu of annual assessments of misclassified FDCHs. It presents estimates for forecasted rates and associated improper payments for FDCHs for each fiscal year (FY) from 2016 to 2020. Due to data limitations, the report concludes that building a reliable model is not possible with the currently available data and estimates produced by the models cannot be used for IPERIA reporting.