FNS is conducting a study, Understanding Risk Assessment in Supplemental Nutrition Assistance Program Payment Accuracy, to develop a comprehensive picture of whether and how SNAP state agencies use RA tools and determine if these tools create disparate impacts on protected classes.
This dashboard was created to share information about Supplemental Nutrition Assistance Program retailer participation during fiscal year 2023.
Case and procedural error rates assesses the accuracy of state agency actions in cases in which applicants were denied, terminated, or suspended and did not receive benefits.
This dashboard displays state-reported data provided to FNS in accordance with the January 2023 guidance
on the replacement of stolen EBT benefits with federal funds. All data provided to FNS will be posted here
quarterly, as soon as possible following receipt.
USDA is issuing this notice of proposed rulemaking to improve SNAP's quality control system as required in the Agriculture Improvement Act of 2018.
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.
SNAP quality control payment error rates by fiscal year.
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.
USDA FNS is providing notice of a new computer matching program (CMP) between FNS and the state agencies that administer SNAP. The CMP allows state agencies access to the National Accuracy Clearinghouse (NAC) as a tool to prevent individuals from receiving SNAP benefits in more than one state simultaneously, commonly referred to as duplicate participation.