Fiscal year 2023 SNAP reported application processing timeliness rates.
SNAP helps put healthy food within reach for those in need. This dashboard is intended to provide the public with an understanding of how SNAP helps make nutritious food more affordable for low-income households.
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 dashboard was created to share information about Supplemental Nutrition Assistance Program retailer participation during fiscal year 2023.
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.
The Administrative Review is the process state agencies use to assess compliance with federal requirements of SFAs participating in the National School Lunch Program and the School Breakfast Program. This study assesses the AR process by examining the results from a purposive sample of ARs. The study also describes in-depth how nine selected state agencies conduct their ARs, and ways the process could be further improved.
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.
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.