All applicants and participants in SNAP are required to submit personally identifiable information for verification before receiving benefits. To better understand the evolving landscape of data security, USDA conducted this study to evaluate how state agencies protect PII of SNAP recipients and compiled best practices for maintaining data security of program.

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.

This report includes findings from formative research undertaken to help USDA assist child care providers in following the nutrition, physical activity, and electronic media use recommendations outlined in the Healthy, Hunger-Free Kids Act of 2010.

To ensure program integrity, school districts must sample household applications certified for free or reduced-price meals, contact the households, and verify eligibility. This process (known as household verification) can be burdensome for both school officials and households. Direct verification uses information from certain other means-tested programs to verify eligibility without contacting applicants. Potential benefits include: less burden for households, less work for school officials, and fewer students with school meal benefits terminated because of nonresponse to verification requests.

This report fulfills the request from Congress in the House Appropriations Committee Report (HR 107-116), which accompanied the Agriculture Appropriations Act for fiscal year 2002.

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.