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.

​The COVID-19 pandemic significantly impacted school meal operations and has contributed to lasting supply chain issues affecting the cost and availability of food and labor. The School Food Authority Survey II on Supply Chain Disruption and Student Participation was administered to all SFAs operating child nutrition programs in schools to gather information on the impacts of continued supply chain disruptions and the return to standard operations during SY 2022–23.

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.

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 report presents findings from the evaluation of the first Healthy Fluid Milk Incentives project. The project tested take-up of incentives delivered through coupons issued to SNAP participants when they purchased "qualifying fluid milk" with their SNAP benefits at four pilot stores in west Texas.

The purpose of this study is to help FNS better understand how states are implementing the SNAP E&T case management requirement, including how they assess individuals’ needs for services and supports and provide participant reimbursements and other support services. It was also intended to identify promising practices and lessons learned that can be used to support states as they work to provide case management services aligned with their participants’ needs, available resources, and program priorities.

​This study describes the wage subsidy and work-based learning models that aid in improving employment outcomes, the extent to which these models promote strong connections between government programs and employers, and the implications of previous findings on how to best implement wage subsidy and work-based learning programs within the SNAP Employment and Training (E&T) program.

The Farm to School Census and Comprehensive Review includes the 2019 Farm to School Census; a descriptive review of the USDA Farm to School grant program; a review of published research on farm to school since 2010; and a set of interviews with school food distributors. 

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.