This collection is a reinstatement, with change, of a previously approved collection for which approval has expired for the fourth Access, Participation, Eligibility, and Certification study series (APEC IV).

The Farm to School Census and Comprehensive Review includes the 2019 Farm to School Census; a descriptive review of the USDA Farm to School grant program; a review of published research on farm to school since 2010; and a set of interviews with school food distributors. 

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 uses statistical modeling techniques to assess the relationship between direct certification performance and specific State practices, seeking best practices and providing recommendations for States to use when developing their Continuous Improvement Plans.

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.

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.