SNAP helps put healthy food within reach for those in need. This dashboard is intended to provide the public with an understanding of how SNAP helps make nutritious food more affordable for low-income households.
This dashboard was created to share information about Supplemental Nutrition Assistance Program retailer participation during fiscal year 2023.
This study reviewed corrective action plans (CAPs) for payment error rate, case and procedural error rate and quality control completion rate from eight states and describes the approaches used to develop, implement, and monitor CAPs. The study also identified challenges and promising practices and provided recommendations for improving states' ability to conduct corrective action activities.
This study evaluated the implications of online SNAP benefit redemption on program integrity. In addition, the study gathered basic information about online benefit redemption, including the use in urban and rural settings.
The retailer data end of year summaries contain important information about compliance activity and violators of the program rules.
This dashboard was created to share information about Supplemental Nutrition Assistance Program retailer participation during fiscal year 2022.
The SNAP Quality Control database contains detailed information on the economic and demographic circumstances of a sample of households selected for review as part of the SNAP QC System. The data include households from the 50 states, the District of Columbia, Guam and the U.S. Virgin Islands. Data are available from 1996 through the most recent year for which QC error rates are available.
This data collection fulfills states’ reporting requirements and describes trends in program participation during the early months of the COVID-19 pandemic. It is part of an ongoing study series examining CN program operations, repurposed to collect waiver reports from all states.
States may establish their own standard utility allowances. The use of SUAs, including heating and cooling SUAs for households with heating and cooling expenses, simplifies the application process for both the applicant and the state agency. The primary objectives of this study were to conduct a review of available data to determine typical costs for internet access to develop a broadband standard utility allowance; and estimate new fiscal year 2022 HCSUA values for each state.
FNS has historically estimated the participation rate of SNAP by using Census data and samples of SNAP administrative data, but modeling SNAP eligibility using survey data has a number of challenges. In response, FNS, the Economic Research Service, and the Census Bureau sought potential solutions to these issues by linking Census survey data with monthly administrative records at the person level.