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.

SNAP quality control payment error rates by fiscal year. 

This data collection fulfills states’ reporting requirements and describes trends in program participation during the early months of the COVID-19 pandemic. It is part of an ongoing study series examining CN program operations, repurposed to collect waiver reports from all states.

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 report presents information on direct certification with the Supplemental Nutrition Assistance Program for free school meals for SY 2017-2018 and SY 2018-2019.

The aim of this IPERA compliance reporting feasibility study is to develop a reliable method of assessment of erroneous meal claims in CACFP-Family Day Care Homes, test the method on a sample of FDCHs for the purpose of estimating the rate of improper payments and provide annual estimates of erroneous payments. Specifically, the study focuses on accurately estimating meals that are claimed but not served.

FNS provides state administrative expense (SAE) funds to state agencies to support administration and oversight of federal child nutrition programs in their state. This study examines the formula used for allocations of SAE funds, identifies factors that influence state agency spending, and presents a series of options for consideration to potentially improve SAE allocations and procedures.

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.