Data & Research
This dashboard was created to share information about Supplemental Nutrition Assistance Program retailer participation during fiscal year 2023.
The goal of the dashboard is to provide national and state level visualization of meals served, participation, and funding data for the National School Lunch Program, School Breakfast Program, Child and Adult Care Food Program, and Summer Food Service Program. The dashboard can be used by federal, state, and local organizations to assess trends in child nutrition program activity.
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 dashboard was created to share information about Supplemental Nutrition Assistance Program retailer participation during fiscal year 2022.
The COVID-19 pandemic significantly impacted school meal operations and has contributed to lasting supply chain issues affecting the cost and availability of food and labor. The School Food Authority Survey II on Supply Chain Disruption and Student Participation was administered to all SFAs operating child nutrition programs in schools to gather information on the impacts of continued supply chain disruptions and the return to standard operations during SY 2022–23.
Review your statewide factsheet for information about SNAP participation, food insecurity, and SNAP's economic impact in your state.
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.