Data & Research
This study examines the use of robotic process automation technologies by three state agencies—Georgia, New Mexico, and Connecticut—to administer SNAP.
Review your statewide factsheet for information about SNAP participation, food insecurity, and SNAP's economic impact in your state.
This study evaluated emerging mobile communication strategies (MCS) technology, both before and after the COVID-19 pandemic. The primary purpose of this study was to better understand the existing landscape of MCS technology, and highlight best practices and lessons learned for from the use of MCS programs by SNAP state agencies.
This report presents estimates of the percentage of eligible persons, by state, who participated in SNAP during an average month in FY 2019 and in the two previous fiscal years. SNAP eligibility criteria include maximum income and resource thresholds, as well as certain nonfinancial criteria, such as age and disability status.
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.
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).
SNAP Education (SNAP-Ed) is the nutrition education and obesity prevention component of SNAP; its goal is to improve the likelihood that persons eligible for SNAP will make nutritious food choices within a limited budget and choose physically active lifestyles consistent with the current Dietary Guidelines for Americans and the USDA food guidance.
This study—authorized by the 2010 Child Nutrition Act—tests innovative strategies to end childhood hunger and food insecurity.
The WIC Nutrition Services and Administration cost study examines how program funds are expended by state and local agencies to support the management and operation of WIC. The study analyzed data from a national survey of state and local agencies, cases studies, and FY 2013 WIC administrative data.
This study examines how the policies that determine benefit levels for the USDA’s Supplemental Nutrition Assistance Program compare to current low-income spending patterns by analyzing the expenditures of low-income households across the United States in 2013 and 2014.