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.
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.
All applicants and participants in SNAP are required to submit personally identifiable information for verification before receiving benefits. To better understand the evolving landscape of data security, USDA conducted this study to evaluate how state agencies protect PII of SNAP recipients and compiled best practices for maintaining data security of program.
Trafficking of Supplemental Nutrition Assistance Program benefits occurs when SNAP recipients sell their benefits for cash to food retailers, often at a discount. Although trafficking does not increase costs to the federal government, it is a diversion of program benefits from their intended purpose of helping low-income families access a nutritious diet. This report, the latest in a series of periodic analyses, provides estimates of the extent of trafficking during the period 2012 through 2014.
The purpose of this study is to evaluate the effectiveness of state agencies current peer group systems, and to provide guidance to state agencies on how to evaluate and update their systems. Specifically, it uses empirical analysis to identify one or more effective models for establishing vendor peer groups that could apply to most state agencies.