61 datasets found
  1. d

    Iowa Food Assistance Program Statistics by Month and County

    • catalog.data.gov
    • datasets.ai
    • +3more
    Updated Mar 7, 2025
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    data.iowa.gov (2025). Iowa Food Assistance Program Statistics by Month and County [Dataset]. https://catalog.data.gov/dataset/iowa-food-assistance-program-statistics-by-month-and-county
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    Dataset updated
    Mar 7, 2025
    Dataset provided by
    data.iowa.gov
    Area covered
    Iowa
    Description

    The Food Assistance Program provides Electronic Benefit Transfer (EBT) cards that can be used to buy groceries at supermarkets, grocery stores and some Farmers Markets. This dataset provides data on the number of households, recipients and cash assistance provided through the Food Assistance Program participation in Iowa by month and county starting in January 2011 and updated monthly. Beginning January 2017, the method used to identify households is based on the following: 1. If one or more individuals receiving Food Assistance also receives FIP, the household is categorized as FA/FIP. 2. If no one receives FIP, but at least one individual also receives Medical Assistance, the household is categorized as FA/Medical Assistance. 3. If no one receives FIP or Medical Assistance, but at least one individual receives Healthy and Well Kids in Iowa or hawk-i benefits, the household is categorized as FA/hawk-i. 4. If no one receives FIP, Medical Assistance or hawk-i , the household is categorized as FA Only. Changes have also been made to reflect more accurate identification of individuals. The same categories from above are used in identifying an individual's circumstances. Previously, the household category was assigned to all individuals of the Food Assistance household, regardless of individual status. This change in how individuals are categorized provides a more accurate count of individual categories. Timing of when the report is run also changed starting January 2017. Reports were previously ran on the 1st, but changed to the 17th to better capture Food Assistance households that received benefits for the prior month. This may give the impression that caseloads have increased when in reality, under the previous approach, cases were missed.

  2. Supplemental Nutrition Assistance Program (SNAP) Caseloads and Expenditures:...

    • data.ny.gov
    • datasets.ai
    • +3more
    application/rdfxml +5
    Updated Jan 6, 2025
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    New York State Office of Temporary and Disability Assistance (2025). Supplemental Nutrition Assistance Program (SNAP) Caseloads and Expenditures: Beginning 2002 [Dataset]. https://data.ny.gov/Human-Services/Supplemental-Nutrition-Assistance-Program-SNAP-Cas/dq6j-8u8z
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    csv, application/rssxml, tsv, xml, json, application/rdfxmlAvailable download formats
    Dataset updated
    Jan 6, 2025
    Dataset authored and provided by
    New York State Office of Temporary and Disability Assistance
    Description

    These data are monthly listings of households, recipients and expenditures for the Supplemental Nutrition Assistance Program.

  3. Supplemental Nutrition Assistance Program (SNAP) Data System

    • catalog.data.gov
    Updated May 17, 2021
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    Economic Research Service, Department of Agriculture (2021). Supplemental Nutrition Assistance Program (SNAP) Data System [Dataset]. https://catalog.data.gov/dataset/supplemental-nutrition-assistance-program-snap-data-system
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    Dataset updated
    May 17, 2021
    Dataset provided by
    Economic Research Servicehttp://www.ers.usda.gov/
    Description

    Note: The Food Environment Atlas contains ERS's most recent and reliable data on food assistance programs, including participants in the SNAP Program. The Supplemental Nutrition Assistance Program (SNAP) Data System is no longer being updated due to inconsistencies and reliability issues in the source data. The Supplemental Nutrition Assistance Program (SNAP) Data System provides time-series data on State and county-level estimates of SNAP participation and benefit levels, combined with area estimates of total population and the number of persons in poverty.

  4. u

    Data from: Fiscal Year 2022 Supplemental Nutrition Assistance Program...

    • agdatacommons.nal.usda.gov
    zip
    Updated Jul 8, 2024
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    Mia Monkovic; Joshua Leftin; Alma Vigil; Francisco Yang; Nima Rahimi; Andrew Wen (2024). Fiscal Year 2022 Supplemental Nutrition Assistance Program Quality Control Database [Dataset]. http://doi.org/10.15482/USDA.ADC/26111980.v1
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    zipAvailable download formats
    Dataset updated
    Jul 8, 2024
    Dataset provided by
    Ag Data Commons
    Authors
    Mia Monkovic; Joshua Leftin; Alma Vigil; Francisco Yang; Nima Rahimi; Andrew Wen
    License

    U.S. Government Workshttps://www.usa.gov/government-works
    License information was derived automatically

    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). SNAP provides millions of Americans with the means to purchase food for a nutritious diet. During fiscal year (FY) 2022, SNAP served an average of 41.2 million people monthly and paid out $114 billion in benefits, including emergency allotments to supplement SNAP benefits due to the COVID-19 public health emergency.The characteristics of SNAP participants and households and the size of the SNAP caseload change over time in response to changes in program rules as well as economic and demographic trends. 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 that are conducted by State SNAP agencies to assess the accuracy of eligibility determinations and benefit calculations for their SNAP caseloads. These data cover FY 2022.

  5. DFA256 - Food Stamp Program Participation and Benefit Issuance Report

    • data.chhs.ca.gov
    • data.ca.gov
    • +3more
    csv, pdf, zip
    Updated Aug 28, 2024
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    California Department of Social Services (2024). DFA256 - Food Stamp Program Participation and Benefit Issuance Report [Dataset]. https://data.chhs.ca.gov/dataset/calfresh-household-and-person-counts-by-county
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    pdf, csv, zipAvailable download formats
    Dataset updated
    Aug 28, 2024
    Dataset authored and provided by
    California Department of Social Serviceshttp://www.cdss.ca.gov/
    Description

    This report provides information on the number of persons and households participating in the Supplemental Nutrition Assistance Program (SNAP) - known as CalFresh in California - on a monthly basis, by county. Caseload figures are broken out by public assistance/non-public assistance status as well as federal/state funding status. Benefit issuance dollar amounts are also provided.

  6. V

    Virginia SNAP Participation and Expenditures 2012-2021 - Statewide

    • data.virginia.gov
    csv
    Updated Feb 3, 2024
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    Other (2024). Virginia SNAP Participation and Expenditures 2012-2021 - Statewide [Dataset]. https://data.virginia.gov/dataset/virginia-snap-participation-and-expenditures-2012-2021-statewide
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    csvAvailable download formats
    Dataset updated
    Feb 3, 2024
    Dataset authored and provided by
    Other
    Area covered
    Virginia
    Description

    This dataset provides monthly statistics for Supplemental Nutrition Assistance Program (SNAP) participation in Virginia by month for the period 2012-2021.

  7. SNAP Distribution Policy Database

    • johnsnowlabs.com
    csv
    Updated Jan 20, 2021
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    John Snow Labs (2021). SNAP Distribution Policy Database [Dataset]. https://www.johnsnowlabs.com/marketplace/snap-distribution-policy-database/
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    csvAvailable download formats
    Dataset updated
    Jan 20, 2021
    Dataset authored and provided by
    John Snow Labs
    Area covered
    United States
    Description

    This dataset provides a central data source for information on State policy options in the Supplemental Nutrition Assistance Program (SNAP). SNAP (Supplemental Nutrition Assistance Program) offers nutrition assistance to millions of eligible, low-income individuals and families and provides economic benefits to communities. FNS (Food and Nutrition Service) also works with State partners and the retail community to improve program administration and ensure program integrity.

  8. A

    SNAP Vendor List

    • data.amerigeoss.org
    • data.providenceri.gov
    • +4more
    csv, json, rdf, xml
    Updated Jul 25, 2019
    + more versions
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    United States[old] (2019). SNAP Vendor List [Dataset]. https://data.amerigeoss.org/dataset/snap-vendor-list
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    rdf, csv, xml, jsonAvailable download formats
    Dataset updated
    Jul 25, 2019
    Dataset provided by
    United States[old]
    Description

    Supplemental Nutrition Assistance Program (SNAP) offers nutrition assistance to millions of eligible, low-income individuals and families and provides economic benefits to communities. SNAP is the largest program in the domestic hunger safety net. The Food and Nutrition Service works with State agencies, nutrition educators, and neighborhood and faith-based organizations to ensure that those eligible for nutrition assistance can make informed decisions about applying for the program and can access benefits. FNS also works with State partners and the retail community to improve program administration and ensure program integrity. Data collected as of July, 2013.

  9. V

    USDA FoodEnvironmentAtlas - Food Assistance

    • data.virginia.gov
    csv
    Updated Feb 3, 2024
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    Other (2024). USDA FoodEnvironmentAtlas - Food Assistance [Dataset]. https://data.virginia.gov/dataset/usda-foodenvironmentatlas-food-assistance
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    csvAvailable download formats
    Dataset updated
    Feb 3, 2024
    Dataset authored and provided by
    Other
    Description

    This dataset contains Food Assistance metrics displayed in the U.S. Department of Agriculture (USDA) Food Environment Atlas website, including statistics for SNAP, National School Lunch Program, School Breakfast Program, Summer Food Service Program, WIC, FDPIR, and food banks. USDA's domestic food and nutrition assistance programs affect the daily lives of millions of people, with about one in four Americans participating in at least one program at some point during a given year. These programs represent a significant investment, accounting for over two-thirds of USDA's annual budget.

    Data was last updated on the USDA website in September 2020.

    Any data elements with numerical values reflect figures at the locality-level unless otherwise specified with an asterisk (*). See column descriptions for details. For more information on all metrics in this dataset, see the Food Environment Atlas Food Assistance documentation.

  10. c

    SNAP Participation Rate

    • data.ccrpc.org
    csv
    Updated Oct 17, 2024
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    SNAP Participation Rate [Dataset]. https://data.ccrpc.org/dataset/snap-participation-rate
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    csv(974)Available download formats
    Dataset updated
    Oct 17, 2024
    Dataset provided by
    Champaign County Regional Planning Commission
    Description

    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).

  11. a

    % Eligible not Receiving SNAP 2017

    • hub.arcgis.com
    Updated Jan 16, 2019
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    JHU_CLF (2019). % Eligible not Receiving SNAP 2017 [Dataset]. https://hub.arcgis.com/datasets/03ea2e91b46740d284dd16675196074d_256/geoservice
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    Dataset updated
    Jan 16, 2019
    Dataset authored and provided by
    JHU_CLF
    Area covered
    Description

    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

  12. Number of people reached with food assistance in emergency settings

    • data.humdata.org
    • data.wu.ac.at
    xlsx
    Updated Aug 14, 2023
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    WFP - World Food Programme (2023). Number of people reached with food assistance in emergency settings [Dataset]. https://data.humdata.org/dataset/number-of-people-reached-with-food-assistance-in-emergency-settings
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    xlsx(18549), xlsx(17785)Available download formats
    Dataset updated
    Aug 14, 2023
    Dataset provided by
    World Food Programmehttp://da.wfp.org/
    License

    Attribution 3.0 (CC BY 3.0)https://creativecommons.org/licenses/by/3.0/
    License information was derived automatically

    Description

    This dataset contains data about the number of people reached with food assistance in emergency settings. The data is collected from external WFP situation reports and emergency dashboards.

  13. Dynamics and Determinants of Supplemental Nutrition Assistance Program...

    • catalog.data.gov
    • datasets.ai
    • +1more
    Updated Nov 10, 2020
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    Food and Nutrition Service (2020). Dynamics and Determinants of Supplemental Nutrition Assistance Program Participation from 2008-2012 [Dataset]. https://catalog.data.gov/dataset/dynamics-and-determinants-of-supplemental-nutrition-assistance-program-participation-2008-
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    Dataset updated
    Nov 10, 2020
    Dataset provided by
    Food and Nutrition Servicehttps://www.fns.usda.gov/
    Description

    This report describes the dynamics of the Supplemental Nutrition Assistance Program participation from 2008-2012. It describe individuals’ patterns of SNAP participation and analyze which factors were associated with their decisions to enter or exit the program. It uses data from the U.S. Census Bureau’s Survey of Income and Program Participation covering the period from 2008 to 2012.

  14. w

    SNAP Enrollment for Travis County

    • data.wu.ac.at
    • catalog.data.gov
    • +1more
    application/excel +5
    Updated Aug 8, 2018
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    Stefan Wray (2018). SNAP Enrollment for Travis County [Dataset]. https://data.wu.ac.at/schema/data_austintexas_gov/cTNici1kNnV1
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    application/excel, xlsx, xml, csv, json, application/xml+rdfAvailable download formats
    Dataset updated
    Aug 8, 2018
    Dataset provided by
    Stefan Wray
    Description

    The Supplemental Nutrition Assistance Program, commonly known as SNAP, is a federal benefits program administered through the Food and Nutrition Service. A part of what is termed the “domestic hunger safety net,” the program aims to provide eligible recipients with benefits, including food assistance.

    This dataset was derived from Excel spreadsheets on the Texas HHS Data and Statistics site, with each sheet containing the SNAP enrollment data for all Texas counties separated by month. This dataset contains the monthly SNAP data since January 2014 relevant to Travis County.

  15. F

    SNAP Benefits Recipients in Hawaii

    • fred.stlouisfed.org
    json
    Updated Dec 20, 2024
    + more versions
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    (2024). SNAP Benefits Recipients in Hawaii [Dataset]. https://fred.stlouisfed.org/series/BR15000HIA647NCEN
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    jsonAvailable download formats
    Dataset updated
    Dec 20, 2024
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Area covered
    Hawaii
    Description

    Graph and download economic data for SNAP Benefits Recipients in Hawaii (BR15000HIA647NCEN) from 1989 to 2022 about HI, SNAP, nutrition, food stamps, benefits, food, and USA.

  16. f

    SNAP Retailer Locations

    • data.ferndalemi.gov
    • detroitdata.org
    • +1more
    Updated Sep 10, 2024
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    City of Detroit (2024). SNAP Retailer Locations [Dataset]. https://data.ferndalemi.gov/datasets/detroitmi::snap-retailer-locations
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    Dataset updated
    Sep 10, 2024
    Dataset authored and provided by
    City of Detroit
    Area covered
    Description

    The Supplemental Nutrition Assistance Program (SNAP) is a United States Department of Agriculture (USDA) Food and Nutrition Service (FNS) program that helps low-income families and individuals buy healthy food. In Michigan, SNAP benefits are available through the Food Assistance Program (FAP), which is administered by the Michigan Department of Health and Human Services (MDHHS) and through MI Bridges. Participants in the program receive SNAP funds on an Electronic Benefits Transfer (EBT) card known as the "Michigan Bridge card", which works like a debit card. SNAP funds can be used to purchase nutritious fruit, vegetables, meat, dairy, bread and other products from participating retailers. Many different types of retailers accept the MI Bridges card, including grocery stores, convenience stores, farmers' markets, and more. Please see the MDHHS Food Assistance webpage or log into MI Bridges to learn about eligibility and to apply for the program.This SNAP Retailer dataset includes records from the USDA SNAP Retailer Location dataset that have geographical latitude and longitude coordinates located within the City of Detroit Boundary. A few retailers located outside of Detroit may be included in this dataset if the latitude and longitudinal coordinates provided in the USDA dataset fall within the City of Detroit Boundary. The data is updated every 2 weeks. Each record in the dataset contains data about a retail location, including the retailer's name, address, and whether they participate in the SNAP Healthy Incentive program. Retailer Type definitions are available from the USDA SNAP Store Type Definitions webpage and include convenience stores, farmers and markets, grocery stores, specialty stores, super stores, supermarkets, and restaurant meals programs. Information about the federal program and data is available from the USDA/FNS at the Supplemental Nutrition Assistance Program (SNAP) website and the SNAP Retailer Data webpage.

  17. School Neighborhood Poverty Estimates, 2020-21

    • s.cnmilf.com
    • gimi9.com
    • +1more
    Updated Oct 21, 2024
    + more versions
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    National Center for Education Statistics (NCES) (2024). School Neighborhood Poverty Estimates, 2020-21 [Dataset]. https://s.cnmilf.com/user74170196/https/catalog.data.gov/dataset/school-neighborhood-poverty-estimates-2020-21
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    Dataset updated
    Oct 21, 2024
    Dataset provided by
    National Center for Education Statisticshttps://nces.ed.gov/
    Description

    The 2020-2021 School Neighborhood Poverty Estimates are based on school locations from the 2020-2021 Common Core of Data (CCD) school file and income data from families with children ages 5 to 17 in the U.S. Census Bureau’s 2017-2021 American Community Survey (ACS) 5-year collection. The ACS is a continuous household survey that collects social, demographic, economic, and housing information from the population in the United States each month. The Census Bureau calculates the income-to-poverty ratio (IPR) based on money income reported for families relative to the poverty thresholds, which are determined based on the family size and structure. Noncash benefits (such as food stamps and housing subsidies) are excluded, as are capital gains and losses. The IPR is the percentage of family income that is above or below the federal poverty level. The IPR indicator ranges from 0 to a top-coded value of 999. A family with income at the poverty threshold has an IPR value of 100. The estimates in this file reflect the IPR for the neighborhoods around schools which may be different from the neighborhood conditions of students enrolled in schools.All information contained in this file is in the public _domain. Data users are advised to review NCES program documentation and feature class metadata to understand the limitations and appropriate use of these data.

  18. O

    Strategic Measure_Percentage of residents eligible for federal food...

    • data.austintexas.gov
    • gimi9.com
    • +1more
    application/rdfxml +5
    Updated Jul 19, 2021
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    City of Austin, Texas - data.austintexas.gov (2021). Strategic Measure_Percentage of residents eligible for federal food assistance programs and who are currently enrolled [Dataset]. https://data.austintexas.gov/Health-and-Community-Services/Strategic-Measure_Percentage-of-residents-eligible/xkf7-f9dv
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    application/rssxml, csv, json, xml, application/rdfxml, tsvAvailable download formats
    Dataset updated
    Jul 19, 2021
    Dataset authored and provided by
    City of Austin, Texas - data.austintexas.gov
    License

    U.S. Government Workshttps://www.usa.gov/government-works
    License information was derived automatically

    Description

    The City of Austin, using Texas Health and Human Services data, measures the number and percentage of residents eligible for federal food assistance programs and determines who is currently enrolled in food assistance programs. For this dataset, the food assistance program being examined is the Women, Infants, and Children (WIC) program. This data comes from Texas Health and Human Services. The city uses this information for performance measurement. This is a small portion of the full dataset that can be found here: https://hhs.texas.gov/doing-business-hhs/provider-portals/wic-providers/wic-general-information. This data set is intended to power visualizations for related measures in the strategic plan.

    One strategic measure is reported using this data set.

    View more details and insights related to this data set on the story page: https://data.austintexas.gov/stories/s/Percentage-of-residents-eligible-for-federal-food-/4qfm-q6mp/

  19. The Emergency Food Assistance Program (TEFAP): Total Food Cost

    • catalog.data.gov
    • datasets.ai
    • +3more
    Updated Jan 3, 2024
    + more versions
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    Food and Nutrition Service (2024). The Emergency Food Assistance Program (TEFAP): Total Food Cost [Dataset]. https://catalog.data.gov/dataset/the-emergency-food-assistance-program-tefap-total-food-cost
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    Dataset updated
    Jan 3, 2024
    Dataset provided by
    Food and Nutrition Servicehttps://www.fns.usda.gov/
    Description

    Provide total food cost of the Emergency Food Assistance Program on State level.

  20. Trends in SNAP Rates: Fiscal Year 2010 to Fiscal Year 2012 Report

    • catalog.data.gov
    • datadiscoverystudio.org
    • +4more
    Updated Jan 3, 2024
    + more versions
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    Food and Nutrition Service (2024). Trends in SNAP Rates: Fiscal Year 2010 to Fiscal Year 2012 Report [Dataset]. https://catalog.data.gov/dataset/trends-in-snap-rates-fiscal-year-2010-to-fiscal-year-2012-report
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    Dataset updated
    Jan 3, 2024
    Dataset provided by
    Food and Nutrition Servicehttps://www.fns.usda.gov/
    Description

    This report presents the estimated percentage of individuals eligible under federal SNAP income and asset rules who choose to participate in the program

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data.iowa.gov (2025). Iowa Food Assistance Program Statistics by Month and County [Dataset]. https://catalog.data.gov/dataset/iowa-food-assistance-program-statistics-by-month-and-county

Iowa Food Assistance Program Statistics by Month and County

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Dataset updated
Mar 7, 2025
Dataset provided by
data.iowa.gov
Area covered
Iowa
Description

The Food Assistance Program provides Electronic Benefit Transfer (EBT) cards that can be used to buy groceries at supermarkets, grocery stores and some Farmers Markets. This dataset provides data on the number of households, recipients and cash assistance provided through the Food Assistance Program participation in Iowa by month and county starting in January 2011 and updated monthly. Beginning January 2017, the method used to identify households is based on the following: 1. If one or more individuals receiving Food Assistance also receives FIP, the household is categorized as FA/FIP. 2. If no one receives FIP, but at least one individual also receives Medical Assistance, the household is categorized as FA/Medical Assistance. 3. If no one receives FIP or Medical Assistance, but at least one individual receives Healthy and Well Kids in Iowa or hawk-i benefits, the household is categorized as FA/hawk-i. 4. If no one receives FIP, Medical Assistance or hawk-i , the household is categorized as FA Only. Changes have also been made to reflect more accurate identification of individuals. The same categories from above are used in identifying an individual's circumstances. Previously, the household category was assigned to all individuals of the Food Assistance household, regardless of individual status. This change in how individuals are categorized provides a more accurate count of individual categories. Timing of when the report is run also changed starting January 2017. Reports were previously ran on the 1st, but changed to the 17th to better capture Food Assistance households that received benefits for the prior month. This may give the impression that caseloads have increased when in reality, under the previous approach, cases were missed.

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