Through an examination of 5 disasters in 4 states, this study develops recommendations for best practices in planning for, implementing, and operating D-SNAP.
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 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.
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.
This study examines the use of robotic process automation technologies by three state agencies—Georgia, New Mexico, and Connecticut—to administer SNAP.
Review your statewide factsheet for information about SNAP participation, food insecurity, and SNAP's economic impact in your state.
The Agricultural Act of 2014 required the establishment of a Multi-Agency Task Force to provide coordination and direction for USDA Foods administered by FNS. FNS submits this report to the Senate Committee on Agriculture, Nutrition, and Forestry and the House of Representatives Committee on Agriculture.
The Agricultural Act of 2014 required the establishment of a Multi-Agency Task Force to provide coordination and direction for USDA Foods administered by FNS. FNS submits this report covering the period of January 2021 through July 2022 to the Senate Committee on Agriculture, Nutrition, and Forestry and the House of Representatives Committee on Agriculture.
This study evaluated emerging mobile communication strategies (MCS) technology, both before and after the COVID-19 pandemic. The primary purpose of this study was to better understand the existing landscape of MCS technology, and highlight best practices and lessons learned for from the use of MCS programs by SNAP state agencies.
This report presents estimates of the percentage of eligible persons, by state, who participated in SNAP during an average month in FY 2019 and in the two previous fiscal years. SNAP eligibility criteria include maximum income and resource thresholds, as well as certain nonfinancial criteria, such as age and disability status.