Resource | Research | Participation Characteristics
Characteristics of Supplemental Nutrition Assistance Program Households: Fiscal Year 2018

This report, the latest in an annual series dating back to 1976, provides information about the demographic and economic circumstances of SNAP households. Using a sample of SNAP Quality Control data that is representative at both the state and national level, this report summarizes the characteristics of households and individuals who participated in SNAP in fiscal year 2018.

Resource | Research | Cost Study
USDA Foods in Schools

USDA Foods data collected via the Web-Based Supply Chain Management (WBSCM) system and the Fresh Fruit and Vegetable Order Receipt System (FFAVORS) were analyzed to conduct analyses on food purchases and spending at the national and state levels for four school years. These infographics display national data for school years 2016-2017 and 2017-2018 and include information on USDA Foods direct deliver USDA Foods data collected via the Web-Based Supply Chain Management (WBSCM) system and the Fresh Fruit and Vegetable Order Receipt System (FFAVORS) were analyzed to conduct analyses on food purchases and spending at the national and state levels for four school years. These infographics display national data for school years 2016-2017 and 2017-2018 and include information on USDA Foods direct delivery, USDA Foods bulk for processing, and the USDA Department of Defense Fresh Fruit and Vegetable Program.

Resource | Research | Payment Accuracy and Program Integrity
Feasibility of Revising the SNAP Quality Control Review Process

FNS uses a two-tier system to measure errors in eligibility and benefit determination for SNAP. This feasibility study identifies all processes and components that would be required for a one-tier federal SNAP QC system, including the procedural, staffing, and organizational changes and the technological and data-sharing infrastructures.

Resource | Policy
Farm Bill

President Trump signs The Agriculture Improvement Act of 2018, commonly known as the 2018 Farm Bill, that reauthorizes the programs administered by the Food and Nutrition Service (FNS) through 2023.

Resource | Research | Participation Rates
Trends in SNAP Participation Rates: Fiscal Year 2010-2017

Trends in Supplemental Nutrition Assistance Program Participation Rates: Fiscal Year 2010 to Fiscal Year 2017 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 who actually participate in the program. This report presents rates for fiscal year (FY) 2017, comparing them to rates for FYs 2010 through 2016. Overall, the program served 84 percent of all eligible individuals in 2017, up 12 points from 2010. Most of this increase occurred between 2010 and 2012; in more recent years, the participation rate has been fairly stable.

Resource | Research | Assessing/Improving Operations
Scanner Capability Assessment of SNAP-Authorized Small Retailers

This study provides current information on adoption of scanning technology among small SNAP-authorized retailers to assess readiness for meeting the Farm Bill requirement, barriers and benefits to adopting scanning technologies, and costs for nonadopting retailers to comply with this requirement.

Resource | Policy Memos | FNS-GD-2019-0059
SNAP - Fiscal Year 2020 Cost of Living Adjustments

This memorandum provides the FY 2020 Cost-of-Living Adjustments to the SNAP maximum allotments, income eligibility standards, and deductions. Under the Food and Nutrition Act of 2008, COLAs are effective as of Oct. 1, 2019.

Resource | Report
Farmers' Markets Accepting SNAP Benefits Nationwide

SNAP Authorized Farmers' Markets as of August 4, 2019.

Resource | Research | Benefit Content/Cost
Exploring the Causes of State Variation in SNAP Administrative Costs

The Federal Government fully funds SNAP benefits, but FNS and state agencies share administrative expenses, with each paying about 50 percent. State administrative costs per case varies widely by state. This study explores a number of factors, including state economic conditions, SNAP caseload characteristics, state SNAP policies, to try to explain the variation by state.

Resource | Research | General/Other
An Estimate of Potential Identity Theft In SNAP In Two States

This exploratory study estimated the extent to which potential identity theft was used to obtain Supplemental Nutrition Assistance Program (SNAP) benefits in Florida and Missouri during a 12-month period (June 2016 to May 2017). The prevalence of potential identity theft was estimated from examining the SNAP caseload data for cases with data discrepancies requiring referral to the state SNAP agency for further investigation. Because identity theft can be truly determined only after a detailed fraud investigation is conducted, the study estimates are to be considered potential identity theft rather than true identity theft.