This study provides an overview of the risk assessment tools currently used by the state agencies that administer the Supplemental Nutrition Assistance Program to categorize those program applications more likely to incur payment errors and allocate resources to improve the accuracy of benefit payments to families participating in SNAP.
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.
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.
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.
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.
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.
This study sought to better understand the root causes of SNAP application timeliness concerns. A comprehensive in-depth study of program components and practices adopted by the 50 states and the District of Columbia to process SNAP applications was conducted.