Data & Research
This dashboard was created to share information about Supplemental Nutrition Assistance Program retailer participation during fiscal year 2023.
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 examines the use of robotic process automation technologies by three state agencies—Georgia, New Mexico, and Connecticut—to administer SNAP.
Este informe de viabilidad presenta los resultados de un estudio del Servicio de Alimentos y Nutrición (FNS, por sus siglas en inglés) del Departamento de Agricultura de los Estados Unidos (USDA, por sus siglas en inglés) para evaluar los cambios administrativos, operativos y de integridad programática necesarios para operar el Programa de Asistencia Nutricional Suplementaria (SNAP, por sus siglas en inglés) en Puerto Rico.
This dashboard was created to share information about Supplemental Nutrition Assistance Program retailer participation during fiscal year 2022.
SNAP quality control payment error rates by fiscal year.
The Program Access Index is one of the measures FNS uses to reward states for high performance in the administration of SNAP. Performance awards were authorized by the 2022 Farm Bill. The PAI is designed to indicate the degree to which low-income people have access to SNAP benefits. The purpose of this step-by-step guide is to describe the calculation of the PAI in detail. It includes all of the data, adjustments, and calculations used in determining the PAI for every state.
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.
Section 4022 of the Agricultural Act of 2014 authorized and funded the SNAP employment and training pilots and the evaluation. The four issue briefs present findings drawn from the evaluation of the 10 pilots.