The SNAP Characteristics report provides information about the demographic and economic circumstances of SNAP households in FY 2020. Because the coronavirus COVID-19 public health emergency affected data collection starting in March 2020, statistics are reported by prepandemic period of October 2019 through February 2020 and the early pandemic period of June to September 2020 (March through May were not reported). 

The WIC Food Cost-Containment Practices Study describes the voluntarily approaches state agencies used in 2018 to reduce food costs when selecting and authorizing WIC foods. This study is the second of its kind; the first was conducted by the USDA Economic Research Service in 2003. This report examines how six types of food cost-containment practices are associated with food costs and WIC participant satisfaction, benefit redemption, and food consumption in 12 state agencies. 

This information collection addresses the mandatory state agency information and burden estimates associated with the following state agency options under SNAP: establishing and reviewing standard utility allowances and establishing methodology for offsetting cost of producing self-employment income.

USDA's nutrition assistance programs touch the lives of one in four American consumers annually and the nutrition education efforts associated with select programs offer a powerful opportunity to promote food security and improve dietary quality among eligible individuals and families.

This report is the latest in a series on SNAP participation rates, which estimate the proportion of people eligible for benefits under federal income and asset rules to those who actually participate in the program. This report presents rates for FY 2019, comparing them to rates for FY 2016-19 and showing participation rates by household characteristics.

This Community Eligibility Provision Characteristics study is the first comprehensive study since CEP became available nationwide in SY 2014-15. The study was designed to provide USDA with information about the impact of CEP and includes both an implementation and impact component.

This report fulfills a Congressional request for the Food and Nutrition Service (FNS) to report on "a comprehensive, integrated approach to nutrition education as a complement to the various nutrition assistance programs." FNS reviewed its current nutrition education efforts, and consulted with a wide range of nutrition education experts and stakeholders.

The WIC and Head Start programs share common goals. Both programs strive to promote positive health and nutrition status for young families. Both programs provide young children and families with nutritious foods, health and nutrition education, and assistance in accessing on-going preventive health care. In many communities, WIC and Head Start serve the same families. By working together, programs have an opportunity to coordinate these services and maximize use of scarce resources (e.g., funding, staff, space). Working together can mean minimizing duplicative efforts on the part of families and staff; more opportunities for WIC and Head Start to benefit from each program’s strengths, expertise and best practices; and ultimately, more ways to make a positive impact on good health and nutrition for children and families.

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.

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.