In 2021, the total cost of the U.S. Supplemental Nutrition Assistance Program (SNAP) was around ****** billion U.S. dollars. This is a significant increase from the previous year, when the total cost of SNAP amounted to **** billion U.S. dollars.

Supplemental Nutrition Assistance Program (SNAP) is the new name for the federal Food Stamp Program. This data set contains participation and cost data for SNAP. The data is furthered divided by annual, state, and monthly levels categorized by persons participating, households participating, benefits provided, average monthly benefits per person and average monthly benefits per household.

Graph and download economic data for Government social benefits: to persons: Federal: Supplemental Nutrition Assistance Program (SNAP) (TRP6001A027NBEA) from 1961 to 2023 about assistance, social assistance, nutrition, food stamps, benefits, food, federal, government, GDP, and USA.

The statistic shows total U.S. government spending for the Supplemental Nutrition Assistance Program (SNAP, formerly called Food Stamps) from 1995 to 2020. In 2010, about 70 billion U.S. dollars were spent for the Supplemental Nutrition Assistance Program.

The Supplemental Nutrition Assistance Program (SNAP) is the largest of the domestic nutrition assistance programs administered by the Food and Nutrition Service (FNS) of the U.S. Department of Agriculture (USDA), providing millions of Americans with the means to purchase food for a nutritious diet. During fiscal year (FY) 2020, SNAP served an average of 39.9 million people monthly and paid out $74.2 billion in benefits, which includes the cost of emergency allotments to supplement SNAP benefits due to the COVID-19 public health emergency. In response to legislative adjustments to program rules and changes in economic and demographic trends, the characteristics of SNAP participants and households and the size of the SNAP caseload change over time. To quantify these changes or estimate the effect of adjustments to program rules on the current SNAP caseload, FNS relies on data from the SNAP Quality Control (QC) database. This database is an edited version of the raw data file of monthly case reviews conducted by State SNAP agencies to assess the accuracy of eligibility determinations and benefit calculations for each State’s SNAP caseload. The COVID-19 public health emergency resulted in an incomplete FY 2020 sample in the raw data file. FNS granted States temporary waivers on conducting QC reviews starting in March 2020. Very few States collected QC data from March 2020 through May 2020. Most States opted to conduct QC reviews from June 2020 through September 2020, although FNS was unable to provide its usual level of oversight of the sampling procedures. Furthermore, monthly State samples for this time period were often smaller than usual. This dataset includes separate SNAP QC files for FY 2020. The first covers the “pre-pandemic” period of October 2019 through February 2020. The second covers the “waiver” period of June 2020 through September 2020 for the 47 States and territories that provided sufficient data for at least one of those months. Resources in this dataset:Resource Title: Fiscal Year 2020 Supplemental Nutrition Assistance Program Quality Control Database (Period 2). File Name: qc_pub_fy2020_per2.csvResource Description: The Supplemental Nutrition Assistance Program (SNAP) is the largest of the domestic nutrition assistance programs administered by the Food and Nutrition Service (FNS) of the U.S. Department of Agriculture (USDA), providing millions of Americans with the means to purchase food for a nutritious diet. During fiscal year (FY) 2020, SNAP served an average of 39.9 million people monthly and paid out $74.2 billion in benefits, which includes the cost of emergency allotments to supplement SNAP benefits due to the COVID-19 public health emergency. In response to legislative adjustments to program rules and changes in economic and demographic trends, the characteristics of SNAP participants and households and the size of the SNAP caseload change over time. To quantify these changes or estimate the effect of adjustments to program rules on the current SNAP caseload, FNS relies on data from the SNAP Quality Control (QC) database. This database is an edited version of the raw data file of monthly case reviews conducted by State SNAP agencies to assess the accuracy of eligibility determinations and benefit calculations for each State’s SNAP caseload.

The COVID-19 public health emergency resulted in an incomplete FY 2020 sample in the raw data file. FNS granted States temporary waivers on conducting QC reviews starting in March 2020. Very few States collected QC data from March 2020 through May 2020. Most States opted to conduct QC reviews from June 2020 through September 2020, although FNS was unable to provide its usual level of oversight of the sampling procedures. Furthermore, monthly State samples for this time period were often smaller than usual.

There are separate SNAP QC databases for FY 2020. The first covers the “pre-pandemic” period of October 2019 through February 2020. The second covers the “waiver” period of June 2020 through September 2020 for the 47 States and territories that provided sufficient data for at least one of those months.Resource Title: Fiscal Year 2020 Supplemental Nutrition Assistance Program Quality Control Database (Period 1). File Name: qc_pub_fy2020_per1.csvResource Description: The Supplemental Nutrition Assistance Program (SNAP) is the largest of the domestic nutrition assistance programs administered by the Food and Nutrition Service (FNS) of the U.S. Department of Agriculture (USDA), providing millions of Americans with the means to purchase food for a nutritious diet. During fiscal year (FY) 2020, SNAP served an average of 39.9 million people monthly and paid out $74.2 billion in benefits, which includes the cost of emergency allotments to supplement SNAP benefits due to the COVID-19 public health emergency. In response to legislative adjustments to program rules and changes in economic and demographic trends, the characteristics of SNAP participants and households and the size of the SNAP caseload change over time. To quantify these changes or estimate the effect of adjustments to program rules on the current SNAP caseload, FNS relies on data from the SNAP Quality Control (QC) database. This database is an edited version of the raw data file of monthly case reviews conducted by State SNAP agencies to assess the accuracy of eligibility determinations and benefit calculations for each State’s SNAP caseload.

The COVID-19 public health emergency resulted in an incomplete FY 2020 sample in the raw data file. FNS granted States temporary waivers on conducting QC reviews starting in March 2020. Very few States collected QC data from March 2020 through May 2020. Most States opted to conduct QC reviews from June 2020 through September 2020, although FNS was unable to provide its usual level of oversight of the sampling procedures. Furthermore, monthly State samples for this time period were often smaller than usual.

There are separate SNAP QC databases for FY 2020. The first covers the “pre-pandemic” period of October 2019 through February 2020. The second covers the “waiver” period of June 2020 through September 2020 for the 47 States and territories that provided sufficient data for at least one of those months.Resource Title: Technical Documentation for the Fiscal Year 2020 Supplemental Nutrition Assistance Program Quality Control Database and the QC Minimodel. File Name: FY2020TechDoc.pdfResource Description: The Supplemental Nutrition Assistance Program (SNAP) is the largest of the domestic nutrition assistance programs administered by the Food and Nutrition Service (FNS) of the U.S. Department of Agriculture (USDA), providing millions of Americans with the means to purchase food for a nutritious diet. During fiscal year (FY) 2020, SNAP served an average of 39.9 million people monthly and paid out $74.2 billion in benefits, which includes the cost of emergency allotments to supplement SNAP benefits due to the COVID-19 public health emergency. In response to legislative adjustments to program rules and changes in economic and demographic trends, the characteristics of SNAP participants and households and the size of the SNAP caseload change over time. To quantify these changes or estimate the effect of adjustments to program rules on the current SNAP caseload, FNS relies on data from the SNAP Quality Control (QC) database. This database is an edited version of the raw data file of monthly case reviews conducted by State SNAP agencies to assess the accuracy of eligibility determinations and benefit calculations for each State’s SNAP caseload.

The COVID-19 public health emergency resulted in an incomplete FY 2020 sample in the raw data file. FNS granted States temporary waivers on conducting QC reviews starting in March 2020. Very few States collected QC data from March 2020 through May 2020. Most States opted to conduct QC reviews from June 2020 through September 2020, although FNS was unable to provide its usual level of oversight of the sampling procedures. Furthermore, monthly State samples for this time period were often smaller than usual.

There are separate SNAP QC databases for FY 2020. The first covers the “pre-pandemic” period of October 2019 through February 2020. The second covers the “waiver” period of June 2020 through September 2020 for the 47 States and territories that provided sufficient data for at least one of those months.

The SNAP participation rate shows how many households in Champaign County receive SNAP benefits, as a percentage of the total number of households in the county. The SNAP participation rate can serve as an indicator of poverty and need in the area, as income-based thresholds establish SNAP eligibility. However, not every household in poverty receives SNAP benefits, as can be determined by comparing the poverty rate between 2005 and 2023 and the percentage of households receiving SNAP benefits between 2005 and 2023.

The number of households and the percentage of households receiving SNAP benefits was higher in 2023 than in 2005, but we cannot establish a trend based on year-to-year changes, as in many years these changes are not statistically significant.

SNAP participation data was sourced from the U.S. Census Bureau’s American Community Survey (ACS) 1-Year Estimates, which are released annually.

As with any datasets that are estimates rather than exact counts, it is important to take into account the margins of error (listed in the column beside each figure) when drawing conclusions from the data.

Due to the impact of the COVID-19 pandemic, instead of providing the standard 1-year data products, the Census Bureau released experimental estimates from the 1-year data in 2020. This includes a limited number of data tables for the nation, states, and the District of Columbia. The Census Bureau states that the 2020 ACS 1-year experimental tables use an experimental estimation methodology and should not be compared with other ACS data. For these reasons, and because data is not available for Champaign County, no data for 2020 is included in this Indicator.

For interested data users, the 2020 ACS 1-Year Experimental data release includes a dataset on Receipt of Food Stamps/SNAP in the Past 12 Months by Presence of Children Under 18 Years for Households.

Sources: U.S. Census Bureau; American Community Survey, 2023 American Community Survey 1-Year Estimates, Table S2201; generated by CCRPC staff; using data.census.gov; (17 October 2024).; U.S. Census Bureau; American Community Survey, 2022 American Community Survey 1-Year Estimates, Table S2201; generated by CCRPC staff; using data.census.gov; (26 September 2023).; U.S. Census Bureau; American Community Survey, 2021 American Community Survey 1-Year Estimates, Table S2201; generated by CCRPC staff; using data.census.gov; (5 October 2022).; U.S. Census Bureau; American Community Survey, 2019 American Community Survey 1-Year Estimates, Table S2201; generated by CCRPC staff; using data.census.gov; (8 June 2021).; U.S. Census Bureau; American Community Survey, 2018 American Community Survey 1-Year Estimates, Table S2201; generated by CCRPC staff; using data.census.gov; (8 June 2021).; U.S. Census Bureau; American Community Survey, 2017 American Community Survey 1-Year Estimates, Table S2201; generated by CCRPC staff; using American FactFinder; (13 September 2018).; U.S. Census Bureau; American Community Survey, 2016 American Community Survey 1-Year Estimates, Table S2201; generated by CCRPC staff; using American FactFinder; (14 September 2017).; U.S. Census Bureau; American Community Survey, 2015 American Community Survey 1-Year Estimates, Table S2201; generated by CCRPC staff; using American FactFinder; (19 September 2016).; U.S. Census Bureau; American Community Survey, 2014 American Community Survey 1-Year Estimates, Table S2201; generated by CCRPC staff; using American FactFinder; (16 March 2016).; U.S. Census Bureau; American Community Survey, 2013 American Community Survey 1-Year Estimates, Table S2201; generated by CCRPC staff; using American FactFinder; (16 March 2016).; U.S. Census Bureau; American Community Survey, 2012 American Community Survey 1-Year Estimates, Table S2201; generated by CCRPC staff; using American FactFinder; (16 March 2016).; U.S. Census Bureau; American Community Survey, 2011 American Community Survey 1-Year Estimates, Table S2201; generated by CCRPC staff; using American FactFinder; (16 March 2016).; U.S. Census Bureau; American Community Survey, 2010 American Community Survey 1-Year Estimates, Table S2201; generated by CCRPC staff; using American FactFinder; (16 March 2016).; U.S. Census Bureau; American Community Survey, 2009 American Community Survey 1-Year Estimates, Table S2201; generated by CCRPC staff; using American FactFinder; (16 March 2016).; U.S. Census Bureau; American Community Survey, 2008 American Community Survey 1-Year Estimates, Table S2201; generated by CCRPC staff; using American FactFinder; (16 March 2016).; U.S. Census Bureau; American Community Survey, 2007 American Community Survey 1-Year Estimates, Table S2201; generated by CCRPC staff; using American FactFinder; (16 March 2016).; U.S. Census Bureau; American Community Survey, 2006 American Community Survey 1-Year Estimates, Table S2201; generated by CCRPC staff; using American FactFinder; (16 March 2016).; U.S. Census Bureau; American Community Survey, 2005 American Community Survey 1-Year Estimates, Table S2201; generated by CCRPC staff; using American FactFinder; (16 March 2016).

United States SNAP: Food Stamps: Benefit: Costs data was reported at 4.797 USD bn in Aug 2018. This records a decrease from the previous number of 4.798 USD bn for Jul 2018. United States SNAP: Food Stamps: Benefit: Costs data is updated monthly, averaging 2.041 USD bn from Oct 1989 (Median) to Aug 2018, with 347 observations. The data reached an all-time high of 6,471.723 USD bn in Nov 2012 and a record low of 1.144 USD bn in Nov 1989. United States SNAP: Food Stamps: Benefit: Costs data remains active status in CEIC and is reported by Food and Nutrition Service. The data is categorized under Global Database’s United States – Table US.G086: Supplemental Nutrition Assistance Program.

This report contains key data regarding the cost of FNS' food assistance programs. The report summarizes data submitted by various reporting agencies for the United States during fiscal year 2013 and fiscal year 2014.

This report describes "churning" as a policy concern in regards to the Supplemental Nutrition Assistance Program (SNAP). “Churning” in the Supplemental Nutrition Assistance Program (SNAP) is defined as when a household exits SNAP and then re-enters the program within 4 months. Churning is a policy concern due to the financial and administrative burden incurred by both SNAP households and State agencies that administer SNAP. This study explores the circumstances of churning in SNAP by determining the rates and patterns of churn, examining the causes of caseload churn, and calculating costs of churn to both participants and administering agencies in six States.

Graph and download economic data for SNAP Benefits Recipients in Price County, WI (CBR55099WIA647NCEN) from 1989 to 2022 about Price County, WI; SNAP; nutrition; food stamps; benefits; WI; food; and USA.

Comparing US states that implemented policies generating state-specific variation in the take-up rate for food stamps, I find that food stamp eligible households experienced lower inflation and a faster increase in product variety in states with a larger increase in take-up (i.e., with increasing demand from the eligible population). Consistent with a causal interpretation, the effects are driven by food products with strong local brands and there is no comparable pattern for ineligible households across the income distribution. Thus, the long-run supply response to changes in demand from food stamp recipients has a first-order impact on the program's cost-benefit analysis.

This dataset explores the United States Department of Agriculture (USDA) Food and Nutrition Service Program - Food Stamp Program by recording the average monthly participation rate by state for the years 2003 - 2007. * The following outlying areas receive Nutrition Assistance Grants which provide benefits analogous to the Food Stamp Program: Puerto Rico, American Samoa, and the Northern Marianas. The number of persons participating is reported monthly. Annual averages are the sums divided by twelve. All data are subject to revision.

This dataset explores the United States Department of Agriculture (USDA) Food and Nutrition Service Program's "The Emergency Food Assistance Program (TEFAP)" - Total Food Cost by state for the fiscal years 2003-2007. TEFAP is a Federal program that helps supplement the diets of low-income needy persons, including elderly people, by providing them with emergency food and nutrition assistance. *Food costs are the value of entitlement and bonus commodities delivered to State warehouses during the fiscal year. Data are subject to revision.

The percentage of each county population in Maryland that participate in the Supplemental Nutrition Assistance Program (SNAP) (previously known as food stamps), specifically among those that are eligible, i.e. they have an income low enough to qualify for benefits.

The number of eligible people not participating in SNAP in each county in state fiscal year 2017 was generated by comparing the number of people living below 185 percent of the federal poverty level - a proxy for those who are likely eligible for SNAP — to those who are currently participating in the program. Nationally, the eligibility cut-off for SNAP is 130 percent of the federal poverty level, but this dataset uses 185 percent of the federal poverty level due to the high cost of living in Maryland.

Data source: United States Census Bureau, Maryland Department of Human Resources

Date: 2017

The mission of FNS is to provide children and needy families better access to food and a more healthful diet through its food assistance programs and comprehensive nutrition education efforts. These dataset provides a summary of all the FNS School Food Program combined into one dataset. It contains cash payments and commodity costs for the National School Lunch Program, School Breakfast Program and the Special Milk Program. (format: html, xls)

This dataset explores the United States Department of Agriculture (USDA) Food and Nutrition Service Program - Food Stamp Program by recording the benefits each state receives for the years 2003-2007. * The following outlying areas receive Nutrition Assistance Grants which provide benefits analogous to the Food Stamp Program: Puerto Rico, American Samoa, and the Northern Marianas. All data are subject to revision.

This dataset explores the United States Department of Agriculture (USDA) Food and Nutrition Service Program - Food Stamp Program by recording the number of households participating in February 2007, January 2008, February 2008 and then calculates the change over time by state. * The following areas receive Nutrition Assistance Grants which provide benefits analogous to the Food Stamp Program: Puerto Rico, American Samoa, and the Northern Marianas. January and February 2008 data are preliminary and are subject to significant revision.

The Emergency Food Assistance Program (TEFAP) is a U.S. Department of Agriculture (USDA) program that for three decades has helped supplement the diets of low-income Americans, including seniors, by providing them with emergency food and nutrition assistance at no cost. This white paper explains the program and describes some of its key results.

A listing of retailers in Conneticut authorized to accept SNAP EBT benefits. The Supplemental Nutrition Assistance Program (SNAP), formerly known as Food Stamps, helps eligible individuals and families afford the cost of food at supermarkets, grocery stores and farmers’ markets.

This dataset explores the United States Department of Agriculture (USDA) Food and Nutrition Service Program - Food Stamp Program by recording the number of persons participating in February 2007, January 2008 and February 2008. Then, a calculation of change over time is achieved. * The following areas receive Nutrition Assistance Grants which provide benefits analogous to the Food Stamp Program: Puerto Rico, American Samoa, and the Northern Marianas. January and February 2008 data are preliminary and are subject to significant revision.