This dashboard was created to share information about Supplemental Nutrition Assistance Program retailer participation during fiscal year 2024.
We periodically examine how SNAP households use their monthly EBT benefits, including number of purchase transactions per month, average purchase amount, types of retailers frequented, and rate at which households exhaust their benefits over the month. This study, the fourth in the series, was done to assess monthly EBT redemption patterns during FY 2022 when SNAP EBT benefits were much larger than usual due to pandemic funding. By FY 2022, SNAP households could also use SNAP EBT to purchase groceries from authorized online retailers, so we analyzed benefits redeemed through online purchasing.
We periodically examine SNAP benefit redemption patterns related to the timing, number, and dollar amount of transactions and the rate at which households spend down and exhaust their monthly benefits. These studies also report on the number of transactions made and the share of benefits redeemed at various types of stores.
The goal of this study was to pilot creating a WIC participant characteristics (PC) longitudinal data set with one WIC state agency. Eight state agencies with varying management information systems (MIS) platforms and high quality WIC PC 2020 data completed a survey about their MIS and longitudinal data provision capabilities. The survey assessed these state agencies’ MIS capabilities, as measured in six areas, to provide a longitudinal data set. This report describes the process of working with one WIC state agency to create a pilot WIC PC longitudinal data set of infant and child participants and the challenges and successes of this effort.
The Payment Integrity Information Act of 2019 requires federal agencies, like FNS, to give Congress information about payment errors for federal programs, like CACFP. FNS planned this study to estimate payment errors in CACFP child care centers. However, after completing the study, FNS found an error in the method used to estimate nationwide findings from the study data. Because of the error, FNS is not publishing the full study, and will instead present key findings that relate to broad trends instead of specific estimates.
We explored the feasibility of using existing data from state monitoring reviews – a process designed to assess operations and provide real-time technical assistance to family day care homes operating CACFP – to estimate the rate of improper payments in those operations. This study found that flexibility in these reviews and the information they report across states, while beneficial for their main purpose, made the resulting data unusable for estimating a national improper payment rate.
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 SNAP E&T pilot projects give Congress, USDA, and states the opportunity to test innovative strategies and approaches that connect low-income households to good paying jobs and thereby reduce their reliance on public assistance.
This study uses calendar year 2011 point-of-sale transaction data from a leading grocery retailer to examine the food choices of SNAP and non-SNAP households . On average, each month's transaction data contained over 1 billion records of food items bought by 26.5 million households in 127 million unique transactions.