Data & Research
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 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.
The Summer Food Service Program Integrity Study was designed to improve understanding of how state agencies provide oversight of the SFSP. To address the research objectives, the study examined such areas as sponsor and site selection, training and technical assistance, meal counting and claiming, and reviews. The findings, based on data collected in 2021, also offered some preliminary responses about the impact of the COVID-19 pandemic on SFSP operations.
SNAP quality control payment error rates by fiscal year.
This study is the eighth in a series of studies that examine the rate of benefit trafficking SNAP, annualized amount of benefits trafficked, and store violation rate. The estimates are presented as ‘current estimates’ that are calculated to be comparable to past studies, and as ‘updated estimates’ that are calculated to be comparable to other trafficking reports released by FNS.
This study identifies the barriers that SNAP participants face when trying to achieve a healthy diet through a nationally representative survey of SNAP participants.
This report presents information on direct certification with the Supplemental Nutrition Assistance Program for free school meals for SY 2017-2018 and SY 2018-2019.
As required by federal law, state SNAP agencies verify financial and non-financial information by matching SNAP applicant and participant information to various national and state data sources to ensure they meet the program’s eligibility criteria. Data matching is an important tool for ensuring program integrity and benefit accuracy. However, information on states’ data matching practices and protocols is limited. This study was undertaken to address this knowledge gap.
FNS uses a two-tier system to measure errors in eligibility and benefit determination for SNAP. This feasibility study identifies all processes and components that would be required for a one-tier federal SNAP QC system, including the procedural, staffing, and organizational changes and the technological and data-sharing infrastructures.