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 study examines the use of robotic process automation technologies by three state agencies—Georgia, New Mexico, and Connecticut—to administer SNAP.
The retailer data end of year summaries contain important information about compliance activity and violators of the program rules.
SNAP quality control payment error rates by fiscal year.
These SNAP and Food Stamp Program Quality Control annual reports present official quality control error rates and other statistical data derived from SNAP QC reviews conducted for each fiscal year.
The Program Access Index is one of the measures FNS uses to reward states for high performance in the administration of SNAP. Performance awards were authorized by the 2022 Farm Bill. The PAI is designed to indicate the degree to which low-income people have access to SNAP benefits. The purpose of this step-by-step guide is to describe the calculation of the PAI in detail. It includes all of the data, adjustments, and calculations used in determining the PAI for every state.
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.