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 Agricultural Act of 2014 required the establishment of a Multi-Agency Task Force to provide coordination and direction for USDA Foods administered by FNS. FNS submits this report to the Senate Committee on Agriculture, Nutrition, and Forestry and the House of Representatives Committee on Agriculture.

The Agricultural Act of 2014 required the establishment of a Multi-Agency Task Force to provide coordination and direction for USDA Foods administered by FNS. FNS submits this report covering the period of January 2021 through July 2022 to the Senate Committee on Agriculture, Nutrition, and Forestry and the House of Representatives Committee on Agriculture.

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.

The Characteristics report is published annually, dating back to 1976, and provides information about the demographic and economic circumstances of SNAP households. Using a sample of SNAP Quality Control data that is representative at both the state and national level, this report summarizes the characteristics of households and individuals who participated in SNAP in fiscal year 2019.  Because SNAP is available to most low-income households, participants represent a broad cross section of the Nation's poor. 

This report provides the 2015 national estimate of incorrect payments for the meal reimbursements. The assessment calculates both overpayments and underpayments for FDCHs that earn either Tier 1 (higher) or Tier II (lower) reimbursements depending on the location and circumstances of the child care provider or the participating children.

The purpose of this study is to evaluate the effectiveness of state agencies current peer group systems, and to provide guidance to state agencies on how to evaluate and update their systems. Specifically, it uses empirical analysis to identify one or more effective models for establishing vendor peer groups that could apply to most state agencies.

This report responds to the requirement of PL 110-246 to assess the effectiveness of state and local efforts to directly certify children for free school meals. Direct certification is a process conducted by the states and by local educational agencies to certify eligible children for free meals without the need for household applications. 

Statistical models were designed to estimate national improper payments due to certification error on an annual basis using district-level data. This enables FNS to update its estimates of national improper payment rates for the NSLP and SBP in future years without having to conduct full rounds of primary data collection.

The second Access, Participation, Eligibility and Certification Study (APEC II) included a follow-on report that provided statistically-derived state-level estimates of school meals erroneous payments. However, while APEC II provided a rough indicator of relative risk for groups of states (e.g., higher than average, about average, lower than average), it was not a state-representative direct measure, and creating actual annual measures of such erroneous payments at the state level using APEC methodology is cost-prohibitive. This report explores alternative approaches to developing measurement-based state-specific estimates that are responsive to year-to-year changes in the actual underlying rate in each state. It also provides cost and burden estimates for the implementation of each of these methods.