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Data Visualization
SNAP Replacement of Stolen Benefits Dashboard

This dashboard displays state-reported data provided to FNS in accordance with the January 2023 guidance on the replacement of stolen EBT benefits with federal funds. All data provided to FNS will be posted here quarterly, as soon as possible following receipt.
 

10/27/2023
Resource | Research and Data | Impacts/Evaluations Evaluation of Technology Modernization for SNAP Benefit Redemption Through Online Transactions

​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.

09/26/2023
Resource | Research and Data | Benefit Content/Cost Analysis of Robotic Process Automation in SNAP: Three Case Studies

​This study examines the use of robotic process automation technologies by three state agencies—Georgia, New Mexico, and Connecticut—to administer SNAP.

09/20/2023
Resource | Research and Data Thrifty Food Plan Cost Estimates for Alaska and Hawaii

The market basket costs in the Thrifty Food Plan, 2021 apply to the contiguous 48 states and the District of Columbia. By law, the USDA must make cost adjustments to the Thrifty Food Plan to reflect the cost of food in Alaska and Hawaii. The Thrifty Food Plan Cost Estimates for Alaska and Hawaii report provides updated estimates of the June 2022 cost of the reevaluated Thrifty Food Plan in Alaska and Hawaii.

08/03/2023
Resource | Research and Data | Cost Study USDA Food Plans

USDA produces four food plans outlining practical, nutritious diets at successively higher cost levels: the Thrifty, Low-Cost, Moderate-Cost, and Liberal Food Plans. The Thrifty Food Plan serves as the basis for maximum allotments in SNAP.

08/03/2023
Resource | Research and Data | Participation Characteristics SNAP Community Characteristics

Review your statewide factsheet for information about SNAP participation, food insecurity, and SNAP's economic impact in your state.

06/23/2023
Resource | Research and Data | Assessing/Improving Operations Modernizing Channels of Communication with USDA SNAP Participants

This study evaluated emerging mobile communication strategies (MCS) technology, both before and after the COVID-19 pandemic. The primary purpose of this study was to better understand the existing landscape of MCS technology, and highlight best practices and lessons learned for from the use of MCS programs by SNAP state agencies.

04/06/2023
Resource | Research and Data | Participation Characteristics Reaching Those in Need: Estimates of USDA's SNAP Program Participation Rates in 2019

​This report presents estimates of the percentage of eligible persons, by state, who participated in SNAP during an average month in FY 2019 and in the two previous fiscal years. SNAP eligibility criteria include maximum income and resource thresholds, as well as certain nonfinancial criteria, such as age and disability status.

02/14/2023
Resource | Research and Data | Policy Analysis The Use of Food Stamps To Purchase Vitamin and Minerals Supplements

Interest, research, and expenditures on dietary supplements are growing very fast. Americans spent $8.2 billion in 1995 for vitamins, minerals, herbs and botanicals, and sports nutrition products. About half of all Americans reported at least some use of vitamins and minerals in response to recent surveys. The general goal of the study is to examine existing data that bear on a diverse set of pertinent issues.

09/01/1999
Resource | Research and Data | Assessing/Improving Operations Feasibility Study of Capturing Food Data at Checkout

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.

08/01/1999
Page updated: September 16, 2025