Data & Research
The Nutrition Education and Local Food Access Dashboard is comprised of public data. The goal of the dashboard is to provide a county-level visualization of FNS nutrition support, specifically nutrition education and local food access, alongside other metrics related to hunger and nutritional health.
This study used 2011–2016 National Health and Nutrition Examination Survey (NHANES) data to examine the relationship between estimated program participation, diet quality, indicators of nutrition and health, food consumption patterns, and nutrient intakes.
In September 2016, FNS awarded Team Nutrition Training Grants to 14 state agencies that administer the USDA’s NSLP, SBP and CACFP. This TNTG cohort was different than previous cohorts because, for the first time, grantees were asked to outline a plan to evaluate some or all of the interventions they would implement with grant funding.
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.
The national nutrition safety net consists of 15 programs that provide millions of low-income Americans access to a healthy and nutritious diet. It has been observed that many low-income individuals are both overweight and participants in one or more nutrition assistance programs. This has led some to question whether participation in the nutrition assistance programs contributes to the growing problem of overweight and obesity. This report presents the conclusions of an expert panel convened by the Food and Nutrition Service to determine if there is scientific evidence of a relationship between program participation and excess weight.