13 datasets found
  1. F

    Income Before Taxes: Public Assistance, Supplemental Security Income, SNAP...

    • fred.stlouisfed.org
    json
    Updated Sep 25, 2024
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    (2024). Income Before Taxes: Public Assistance, Supplemental Security Income, SNAP by Race: White and All Other Races, Not Including Black or African American [Dataset]. https://fred.stlouisfed.org/series/CXUWELFARELB0903M
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    jsonAvailable download formats
    Dataset updated
    Sep 25, 2024
    License

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

    Area covered
    United States
    Description

    Graph and download economic data for Income Before Taxes: Public Assistance, Supplemental Security Income, SNAP by Race: White and All Other Races, Not Including Black or African American (CXUWELFARELB0903M) from 2003 to 2023 about supplements, assistance, social assistance, public, SNAP, food stamps, tax, white, food, income, and USA.

  2. Snap: U.S. corporate demography 2014-2022, by ethnicity

    • statista.com
    Updated Apr 7, 2025
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    Statista (2025). Snap: U.S. corporate demography 2014-2022, by ethnicity [Dataset]. https://www.statista.com/statistics/1409777/snap-us-corporate-demography-ethnicity/
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    Dataset updated
    Apr 7, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    In 2022, 39.8 percent of Snap's workforce in the United States was Asian, whilst 4.3 percent self-identified were Black. Overall, around one percent of U.S. employees were Indigenous, and 2.6 percent were Middle Eastern, North African, or Arab. Snap Inc. owns mobile photo, video, and messaging app Snapchat.

  3. o

    SNAP Recipiency

    • data.oaklandca.gov
    application/rdfxml +2
    Updated Jul 12, 2018
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    American Community Survey, 1-year PUMS (2018). SNAP Recipiency [Dataset]. https://data.oaklandca.gov/widgets/pnrh-ybpv?mobile_redirect=true
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    csv, xml, application/rdfxmlAvailable download formats
    Dataset updated
    Jul 12, 2018
    Dataset authored and provided by
    American Community Survey, 1-year PUMS
    Description

    This Indicator measures the percent of individuals who live in households in which at least one household member received SNAP (Supplemental Nutrition Assistance Program) benefits in the past 12 months, by race/ethnicity.

  4. Supplemental Nutrition Assistance Program COVID-19 Policy and Enrollment...

    • icpsr.umich.edu
    ascii, delimited +5
    Updated May 29, 2025
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    Pukelis, Kelsey (2025). Supplemental Nutrition Assistance Program COVID-19 Policy and Enrollment Data, United States, 1987-2024 [Dataset]. http://doi.org/10.3886/ICPSR39331.v1
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    spss, qualitative data, r, delimited, stata, ascii, sasAvailable download formats
    Dataset updated
    May 29, 2025
    Dataset provided by
    Inter-university Consortium for Political and Social Researchhttps://www.icpsr.umich.edu/web/pages/
    Authors
    Pukelis, Kelsey
    License

    https://www.icpsr.umich.edu/web/ICPSR/studies/39331/termshttps://www.icpsr.umich.edu/web/ICPSR/studies/39331/terms

    Area covered
    Guam, Virgin Islands of the United States, United States
    Description

    This study features Supplemental Nutrition Assistance Program (SNAP) policy and enrollment data organized in three datasets. The data were originally collected for a companion paper, Pukelis, K. (2024). "SNAP Policies and Enrollment following the COVID-19 Pandemic." The SNAP COVID Policy Data (DS1) provides monthly data on states' adoption of policies to adjust SNAP enrollment requirements and benefits during the COVID-19 federal public health emergency, from March 2020 through June 2023. This dataset features information from all 50 states regarding policy waivers that were requested to simplify SNAP application and recertification requirements, temporarily waive recertification requirements, and provide emergency supplemental benefits. SNAP implementation procedures data from 2019 are also available for comparison. The SNAP County Enrollment Data (DS2) contains county-month level data on SNAP enrollment numbers, total benefits issued, applications, and recertifications, as well as a handful of measures on the Temporary Assistance for Needy Families (TANF) program and Medicaid. The SNAP State Enrollment Detail Data (DS3) includes state-month level data on SNAP enrollment details, including applications, recertifications, enrollment by demographic group, and information about office walk-in visits and calls to the assistance line. TANF and Medicaid state-month level data is also provided. The state enrollment file also features 62 variables detailing Louisiana case closures. County and state enrollment files contain demographic information for a limited number of states, including SNAP, TANF, and Medicaid enrollment by age group, and state-month SNAP enrollment by gender, race, and ethnicity.

  5. Snap: U.S. corporate leadership 2014-2022, by ethnicity

    • statista.com
    Updated Apr 7, 2025
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    Statista (2025). Snap: U.S. corporate leadership 2014-2022, by ethnicity [Dataset]. https://www.statista.com/statistics/1409782/snap-us-corporate-leadership-demography-race-ethnicity/
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    Dataset updated
    Apr 7, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    In 2022, 22.1 percent of Snap Inc. employees in the United States in leadership roles were Asian, and 3.3 percent were Black. Overall, 4.4 percent were Hispanic or Latinx, and just one percent were Indigenous. Snap Inc. owns mobile photo, video, and messaging app Snapchat.

  6. 2007 Census of Agriculture Race, Ethnicity and Gender Profile Data

    • catalog.data.gov
    • datasets.ai
    • +2more
    Updated Apr 21, 2025
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    National Agricultural Statistics Service, Department of Agriculture (2025). 2007 Census of Agriculture Race, Ethnicity and Gender Profile Data [Dataset]. https://catalog.data.gov/dataset/2007-census-of-agriculture-race-ethnicity-and-gender-profile-data
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    Dataset updated
    Apr 21, 2025
    Dataset provided by
    National Agricultural Statistics Servicehttp://www.nass.usda.gov/
    Description

    This file contains data on race, ethnicity, and gender of U.S. farm and ranch operators collected by the 2007 Census of Agriculture.

  7. O

    Connecticut Department of Social Services - People Served - CY 2012-2024

    • data.ct.gov
    • catalog.data.gov
    application/rdfxml +5
    Updated Jan 3, 2019
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    Department of Social Services (2019). Connecticut Department of Social Services - People Served - CY 2012-2024 [Dataset]. https://data.ct.gov/Health-and-Human-Services/Connecticut-Department-of-Social-Services-People-S/928m-memi
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    csv, application/rssxml, tsv, json, xml, application/rdfxmlAvailable download formats
    Dataset updated
    Jan 3, 2019
    Dataset authored and provided by
    Department of Social Services
    License

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

    Area covered
    Connecticut
    Description

    This report provides information at the state and town level of people served by the Connecticut Department of Social Services for the Calendar Years 2012-2024 by demographics (gender, age-groups, race, and ethnicity) at the state and town level by Medical Benefit Plan (Husky A-D, Husky limited benefit, MSP and Other Medical); Assistance Type (Cash, Food, Medical, Other); and Program (CADAP, CHCPE, CHIP, ConnTRANS, Medicaid, Medical, MSP, Refugee Cash, Repatriation, SAGA, SAGA Funeral, SNAP, Social Work Services, State Funded Medical, State Supplement, TFA). NOTE: On March 2020, Connecticut opted to add a new Medicaid coverage group: the COVID-19 Testing Coverage for the Uninsured. Enrollment data on this limited-benefit Medicaid coverage group is being incorporated into Medicaid data effective January 1, 2021. Enrollment data for this coverage group prior to January 1, 2021, was listed under State Funded Medical. Effective January 1, 2021, this coverage group have been separated: (1) the COVID-19 Testing Coverage for the Uninsured is now G06-I and is now listed as a limited benefit plan that rolls up into “Program Name” of Medicaid and “Medical Benefit Plan” of HUSKY Limited Benefit; (2) the emergency medical coverage has been separated into G06-II as a limited benefit plan that rolls up into “Program Name” of Emergency Medical and “Medical Benefit Plan” of Other Medical. NOTE: On April 22, 2019 the methodology for determining HUSKY A Newborn recipients changed, which caused an increase of recipients for that benefit starting in October 2016. We now count recipients recorded in the ImpaCT system as well as in the HIX system for that assistance type, instead using HIX exclusively. Also, the methodology for determining the address of the recipients has changed: 1. The address of a recipient in the ImpaCT system is now correctly determined specific to that month instead of using the address of the most recent month. This resulted in some shuffling of the recipients among townships starting in October 2016. 2. If, in a given month, a recipient has benefit records in both the HIX system and in the ImpaCT system, the address of the recipient is now calculated as follows to resolve conflicts: Use the residential address in ImpaCT if it exists, else use the mailing address in ImpaCT if it exists, else use the address in HIX. This change in methodology causes a reduction in counts for most townships starting in March 2017 because a single address is now used instead of two when the systems do not agree. NOTE: On February 14 2019, the enrollment counts for 2012-2015 across all programs were updated to account for an error in the data integration process. As a result, the count of the number of people served increased by 13% for 2012, 10% for 2013, 8% for 2014 and 4% for 2015. Counts for 2016, 2017 and 2018 remain unchanged.

  8. F

    Income Before Taxes: Public Assistance, Supplemental Security Income, SNAP...

    • fred.stlouisfed.org
    json
    Updated Sep 25, 2024
    + more versions
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    (2024). Income Before Taxes: Public Assistance, Supplemental Security Income, SNAP by Hispanic or Latino Origin: Not Hispanic or Latino: White and All Other Races, Not Including Black or African American [Dataset]. https://fred.stlouisfed.org/series/CXUWELFARELB1004M
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Sep 25, 2024
    License

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

    Area covered
    United States
    Description

    Graph and download economic data for Income Before Taxes: Public Assistance, Supplemental Security Income, SNAP by Hispanic or Latino Origin: Not Hispanic or Latino: White and All Other Races, Not Including Black or African American (CXUWELFARELB1004M) from 2003 to 2023 about supplements, assistance, social assistance, public, SNAP, food stamps, tax, white, food, latino, hispanic, income, and USA.

  9. a

    HealthyJoCo 2024 Food Security Assessment Report

    • healthyjoco-johnsoncounty.hub.arcgis.com
    Updated Sep 6, 2024
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    Johnson County, Iowa Geographic Information System (2024). HealthyJoCo 2024 Food Security Assessment Report [Dataset]. https://healthyjoco-johnsoncounty.hub.arcgis.com/documents/12e06cad20f54fabbf03be2bdcc69770
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    Dataset updated
    Sep 6, 2024
    Dataset authored and provided by
    Johnson County, Iowa Geographic Information System
    Description

    Food insecurity is closely linked to household income and vehicle ownership, with lower-income respondents and those without a household vehicle reporting higher rates of food insecurity. Community feedback also highlighted difficulties in utilizing SNAP benefits as a significant barrier to food access. This assessment seeks to facilitate access to assistance programs by identifying barriers to state and federal food assistance, inform educational initiatives by developing targeted food and nutrition programs, identify and address disparities based on race, ethnicity, education level, and income, allocate resources effectively to areas and populations most affected, and evaluate the impact of current and future interventions to ensure they are evidence-based and responsive to community needs. By conducting this assessment, we aim to create a more food-secure community, where every resident has reliable access to sufficient, nutritious food, throughout the year for many Johnson County residents.

  10. s

    Snapchat Demographics

    • searchlogistics.com
    Updated Apr 1, 2025
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    (2025). Snapchat Demographics [Dataset]. https://www.searchlogistics.com/learn/statistics/social-media-user-statistics/
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    Dataset updated
    Apr 1, 2025
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Snapchat has a reach into 75% of the millenial and Gen Z audience.

  11. s

    Snapchat Users

    • searchlogistics.com
    Updated Apr 1, 2025
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    (2025). Snapchat Users [Dataset]. https://www.searchlogistics.com/learn/statistics/social-media-user-statistics/
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    Dataset updated
    Apr 1, 2025
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Snapchat now boasts over 319 million daily active users. That means it’s one of the most engaging platforms. Snapchat currently has a total user base of 800 million.

  12. s

    Snapchat Usage

    • searchlogistics.com
    Updated Apr 1, 2025
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    (2025). Snapchat Usage [Dataset]. https://www.searchlogistics.com/learn/statistics/social-media-user-statistics/
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    Dataset updated
    Apr 1, 2025
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    The average Snapchat user spends just 3 hours per month on the app.

  13. 2012 Census of Agriculture - Web Maps

    • agdatacommons.nal.usda.gov
    bin
    Updated Feb 9, 2024
    + more versions
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    USDA National Agricultural Statistics Service (2024). 2012 Census of Agriculture - Web Maps [Dataset]. https://agdatacommons.nal.usda.gov/articles/dataset/2012_Census_of_Agriculture_-_Web_Maps/24660828
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    binAvailable download formats
    Dataset updated
    Feb 9, 2024
    Dataset provided by
    National Agricultural Statistics Servicehttp://www.nass.usda.gov/
    Authors
    USDA National Agricultural Statistics Service
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Description

    The Census of Agriculture provides a detailed picture every five years of U.S. farms and ranches and the people who operate them. Conducted by USDA's National Agricultural Statistics Service, the 2012 Census of Agriculture collected more than six million data items directly from farmers. The Ag Census Web Maps application makes this information available at the county level through a few clicks. The maps and accompanying data help users visualize, download, and analyze Census of Agriculture data in a geospatial context. Resources in this dataset:Resource Title: Ag Census Web Maps. File Name: Web Page, url: https://www.nass.usda.gov/Publications/AgCensus/2012/Online_Resources/Ag_Census_Web_Maps/Overview/index.php/ The interactive map application assembles maps and statistics from the 2012 Census of Agriculture in five broad categories:

    Crops and Plants – Data on harvested acreage for major field crops, hay, and other forage crops, as well as acreage data for vegetables, fruits, tree nuts, and berries. Economics – Data on agriculture sales, farm income, government payments from conservation and farm programs, amounts received from loans, a broad range of production expenses, and value of buildings and equipment. Farms – Information on farm size, ownership, and Internet access, as well as data on total land in farms, land use, irrigation, fertilized cropland, and enrollment in crop insurance programs. Livestock and Animals – Statistics on cattle and calves, cows and heifers, milk cows, and other cattle, as well as hogs, sheep, goats, horses, and broilers. Operators – Statistics on hired farm labor, tenure, land rented or leased, primary occupation of farm operator, and demographic characteristics such as age, sex, race/ethnicity, and residence location.

    The Ag Census Web Maps application allows you to:

    Select a map to display from a the above five general categories and associated subcategories. Zoom and pan to a specific area; use the inset buttons to center the map on the continental United States; zoom to a specific state; and show the state mask to fade areas surrounding the state. Create and print maps showing the variation in a single data item across the United States (for example, average value of agricultural products sold per farm). Select a county and view and download the county’s data for a general category. Download the U.S. county-level dataset of mapped values for all categories in Microsoft ® Excel format.

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(2024). Income Before Taxes: Public Assistance, Supplemental Security Income, SNAP by Race: White and All Other Races, Not Including Black or African American [Dataset]. https://fred.stlouisfed.org/series/CXUWELFARELB0903M

Income Before Taxes: Public Assistance, Supplemental Security Income, SNAP by Race: White and All Other Races, Not Including Black or African American

CXUWELFARELB0903M

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jsonAvailable download formats
Dataset updated
Sep 25, 2024
License

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

Area covered
United States
Description

Graph and download economic data for Income Before Taxes: Public Assistance, Supplemental Security Income, SNAP by Race: White and All Other Races, Not Including Black or African American (CXUWELFARELB0903M) from 2003 to 2023 about supplements, assistance, social assistance, public, SNAP, food stamps, tax, white, food, income, and USA.

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