Data & Research
This dashboard was created to share information about Supplemental Nutrition Assistance Program retailer participation during fiscal year 2023.
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 report provides statistics on food security in U.S. households throughout 2022 based on the Current Population Survey Food Security Supplement data collected in December 2022.
This study evaluated the implications of online SNAP benefit redemption on program integrity. In addition, the study gathered basic information about online benefit redemption, including the use in urban and rural settings.
This dashboard was created to share information about Supplemental Nutrition Assistance Program retailer participation during fiscal year 2022.
Review your statewide factsheet for information about SNAP participation, food insecurity, and SNAP's economic impact in your state.
This exploratory tool was built to share information about Supplemental Nutrition Assistance Program participation, income, and household demographics within each congressional district.
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.
This study examined the feasibility of creating a data collection system capable of directly and automatically providing USDA with item-level data on purchases made by SNAP households. Data would be captured at the point of sale from purchases made using EBT cards.
In the past, the Food and Nutrition Service (FNS) has relied on a series of large surveys to gather and compare information on food expenditures and food consumption among participants and non-participants to better understand the impacts of the Food Stamp Program (FSP) on the diet and nutritional status of program participants. Studies based on survey data, however, have a number of drawbacks, including the time and expense of collecting the survey data, sampling error, response bias, errors in respondent recall, and misinformation about what may have been purchased or consumed.