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.
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.
This report explores the feasibility and potential cost of enabling EBT systems to differentiate between program-eligible and ineligible items. It considers the cost of upgrading systems in stores that now have scanners and the cost of installing new systems in stores without scanners. The report also examines the potential for the purchase of ineligible items even with the introduction of new technological controls.
The report is based on a telephone survey of all states with SLEB agreements and case studies of 6 states with noteworthy levels of SLEB agreement-generated activity.