81 datasets found
  1. f

    Global Welfare Dataset (GLOW)

    • figshare.com
    xlsx
    Updated Nov 11, 2020
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    Emerging Welfare Markets Project (2020). Global Welfare Dataset (GLOW) [Dataset]. http://doi.org/10.6084/m9.figshare.13220807.v1
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    xlsxAvailable download formats
    Dataset updated
    Nov 11, 2020
    Dataset provided by
    figshare
    Authors
    Emerging Welfare Markets Project
    License

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

    Description

    The Global Welfare Dataset (GLOW) is a cross-national panel dataset that aims at facilitating comparative social policy research on the Global North and Global South. The database includes 381 variables on 61 countries from years between 1989 and 2015. The database has four main categories of data: welfare, development, economy and politics.The data is the result of an original data compilation assembled by using information from several international and domestic sources. Missing data was supplemented by domestic sources where available. We sourced data primarily from these international databases:Atlas of Social Protection Indicators of Resilience and Equity – ASPIRE (World Bank)Government Finance Statistics (International Monetary Fund)Social Expenditure Database – SOCX (Organisation for Economic Co-operation and Development)Social Protection Statistics – ESPROSS (Eurostat)Social Security Inquiry (International Labour Organization)Social Security Programs Throughout the World (Social Security Administration)Statistics on Income and Living Conditions – EU-SILC (European Union)World Development Indicators (World Bank)However, much of the welfare data from these sources are not compatible between all country cases. We conducted an extensive review of the compatibility of the data and computed compatible figures where possible. Since the heart of this database is the provision of social assistance across a global sample, we applied the ASPIRE methodology in order to build comparable indicators across European and Emerging Market economies. Specifically, we constructed indicators of average per capita transfers and coverage rates for social assistance programs for all the country cases not included in the World Bank’s ASPIRE dataset (Austria, Belgium, Bulgaria, Czech Republic, Denmark, Estonia, Finland, France, Germany, Greece, Hungary, Iceland, Ireland, Italy, Latvia, Luxembourg, Netherlands, Norway, Poland, Portugal, Romania, Slovak Republic, Slovenia, Spain, Sweden, Switzerland, and United Kingdom.)For details, please see:https://glow.ku.edu.tr/about

  2. U.S. number of individuals receiving Social Security benefits in the...

    • statista.com
    Updated Jul 11, 2025
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    U.S. number of individuals receiving Social Security benefits in the 1967-2023 [Dataset]. https://www.statista.com/statistics/1312640/number-of-social-security-recipients-us/
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    Dataset updated
    Jul 11, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    In 2023, there were an average of ** million monthly recipients of social security benefits in the United States. This is an increase since 2022, and an increase of nearly *** million in the last ten years.In the United States, Social Security benefits can be paid to eligible retirees, widowers, disabled workers, and their families.

  3. Percentage of U.S. state population receiving SNAP benefits (Food Stamps)...

    • statista.com
    Updated Jan 19, 2012
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    Statista (2012). Percentage of U.S. state population receiving SNAP benefits (Food Stamps) 2011 [Dataset]. https://www.statista.com/statistics/223066/percentage-of-us-state-population-receiving-snap-benefits/
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    Dataset updated
    Jan 19, 2012
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2010
    Area covered
    United States
    Description

    The statistic shows the percentage of U.S. population receiving benefits through the Supplemental Nutrition Assistance Program (SNAP, formerly called Food Stamps) in 2011, by state. About 20 percent of the population in Oregon is receiving benefits through the Supplemental Nutrition Assistance Program.

  4. County Statistics File 2 (CO-STAT 2): [United States]

    • icpsr.umich.edu
    • datamed.org
    ascii
    Updated Feb 16, 1992
    + more versions
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    United States. Bureau of the Census (1992). County Statistics File 2 (CO-STAT 2): [United States] [Dataset]. http://doi.org/10.3886/ICPSR08662.v1
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    asciiAvailable download formats
    Dataset updated
    Feb 16, 1992
    Dataset provided by
    Inter-university Consortium for Political and Social Researchhttps://www.icpsr.umich.edu/web/pages/
    Authors
    United States. Bureau of the Census
    License

    https://www.icpsr.umich.edu/web/ICPSR/studies/8662/termshttps://www.icpsr.umich.edu/web/ICPSR/studies/8662/terms

    Area covered
    Washington, New York (state), Alabama, South Dakota, United States, Montana, Mississippi, Missouri, Maryland, Nebraska
    Description

    This compilation of data, which was gathered from a variety of federal agencies and private organizations, provides information for the United States as a whole, the 50 states and the District of Columbia, and all 3,139 counties and county equivalents (defined as of January 1, 1983). Data are included for the following general areas: age, ancestry, agriculture, banking, business, construction, crime, education, elections, government, health, households, housing, labor, land area, manufactures, money income, personal income, population, poverty, retail trade, service industries, social insurance and human services, veterans, vital statistics, wholesale trade, and journey to work.

  5. County Statistics File 1 (CO-STAT): [United States]

    • icpsr.umich.edu
    ascii
    Updated Jan 18, 2006
    + more versions
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    United States. Bureau of the Census (2006). County Statistics File 1 (CO-STAT): [United States] [Dataset]. http://doi.org/10.3886/ICPSR08314.v1
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    asciiAvailable download formats
    Dataset updated
    Jan 18, 2006
    Dataset provided by
    Inter-university Consortium for Political and Social Researchhttps://www.icpsr.umich.edu/web/pages/
    Authors
    United States. Bureau of the Census
    License

    https://www.icpsr.umich.edu/web/ICPSR/studies/8314/termshttps://www.icpsr.umich.edu/web/ICPSR/studies/8314/terms

    Area covered
    Nebraska, Missouri, Hawaii, South Dakota, New Hampshire, Tennessee, New York (state), Nevada, Montana, Arizona
    Description

    Data gathered from a variety of federal agencies and private organizations are contained in this collection which provides county statistics. Included in CO_STAT 1 are all data for counties published in the 1983 County and City Data Book and the 1982 State and Metropolitan Area Data Book, as well as a number of statistics not previously published. There are several levels of data (e.g., persons, housing units, and local governments). The collection supplies information on the following general areas: agriculture, banking, crime, education, elections, government, households, health, housing, labor, land area, manufactures, money income, personal income, population, poverty, retail trade, service industries, social insurance and human services, savings and loan associations, veterans, vital statistics, wholesale trade, and journey to work. Records are included for each of the fifty states and the District of Columbia as well as 3,137 counties or county equivalents.

  6. Social benefits as a share of national income Japan FY 2013-2022

    • statista.com
    Updated Aug 1, 2024
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    Statista (2024). Social benefits as a share of national income Japan FY 2013-2022 [Dataset]. https://www.statista.com/statistics/1477879/japan-total-social-benefits-as-a-share-of-national-income/
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    Dataset updated
    Aug 1, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Japan
    Description

    In the fiscal year 2022, total social benefits in Japan accounted for 33.7 percent of the national income. In the fiscal year 2020, the figure saw a sudden increase of over four percentage points.

  7. National burden rate Japan FY 1990-2025, by type

    • statista.com
    • ai-chatbox.pro
    Updated Mar 10, 2025
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    Statista (2025). National burden rate Japan FY 1990-2025, by type [Dataset]. https://www.statista.com/statistics/1461181/japan-national-burden-rate-by-type/
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    Dataset updated
    Mar 10, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Japan
    Description

    For the fiscal year 2025, the national burden rate in Japan was projected to be 46.2 percent. The national burden rate is the sum of social security contributions as a percentage of the national income and total taxes as a share of the national income. Taxation burden was forecast to reach 28.2 percent of the national income.

  8. w

    Percent of Welfare-to-Work families meeting requirements in WPR based on...

    • data.wu.ac.at
    csv, json, xml
    Updated Dec 16, 2016
    + more versions
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    Human Services Agency, County of San Mateo (2016). Percent of Welfare-to-Work families meeting requirements in WPR based on State measurement - VIZ [Dataset]. https://data.wu.ac.at/schema/performance_smcgov_org/YWZ5cy1hY3pp
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    csv, xml, jsonAvailable download formats
    Dataset updated
    Dec 16, 2016
    Dataset provided by
    Human Services Agency, County of San Mateo
    License

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

    Description

    Percent of mandatory Welfare-to-Work families meeting requirements in federal Work Participation Rate (WPR) based on State measurement. Human Services Agency performance measure 7320P ID 312.

  9. Data from: Reassessing the "Race to the Bottom" in State Welfare Policy

    • doi.org
    • icpsr.umich.edu
    Updated Mar 26, 2008
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    Berry, William D.; Fording, Richard C.; Hanson, Russell L. (2008). Reassessing the "Race to the Bottom" in State Welfare Policy [Dataset]. http://doi.org/10.3886/ICPSR01294.v1
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    Dataset updated
    Mar 26, 2008
    Dataset provided by
    Inter-university Consortium for Political and Social Researchhttps://www.icpsr.umich.edu/web/pages/
    Authors
    Berry, William D.; Fording, Richard C.; Hanson, Russell L.
    License

    https://www.icpsr.umich.edu/web/ICPSR/studies/1294/termshttps://www.icpsr.umich.edu/web/ICPSR/studies/1294/terms

    Area covered
    United States
    Dataset funded by
    National Science Foundation
    Description

    On the assumption that poor people migrate to obtain better welfare benefits, the magnet hypothesis predicts that a state's poverty rate increases when its welfare benefit rises faster than benefits in surrounding states. The benefit competition hypothesis proposes that states lower welfare benefits to avoid attracting the poor from neighboring states. Previous investigations, which yield support for these propositions, suffer from weaknesses in model specification and methodology. We correct these deficiencies in a simultaneous equation model including a state's poverty rate and its benefit level for AFDC (Aid to Families with Dependent Children) as endogenous variables. We estimate the model using pooled annual data for the American states from 1960 to 1990, and find that a state's poverty rate does not jump significantly when its welfare payments outpace benefits in neighboring states. Neither is there any evidence of vigorous benefit competition among states. States respond to decreases in neighboring states.

  10. s

    State support

    • ethnicity-facts-figures.service.gov.uk
    csv
    Updated Jul 12, 2022
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    Race Disparity Unit (2022). State support [Dataset]. https://www.ethnicity-facts-figures.service.gov.uk/work-pay-and-benefits/benefits/state-support/latest
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    csv(256 KB)Available download formats
    Dataset updated
    Jul 12, 2022
    Dataset authored and provided by
    Race Disparity Unit
    License

    Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
    License information was derived automatically

    Area covered
    United Kingdom
    Description

    In the 3 years to March 2021, white British families were the most likely to receive a type of state support.

  11. H

    Replication Data for: Just Say No: The Diffusion of Drug Testing for Welfare...

    • dataverse.harvard.edu
    Updated Feb 11, 2025
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    Liza Gordon-Rogers (2025). Replication Data for: Just Say No: The Diffusion of Drug Testing for Welfare Proposals Across US States [Dataset]. http://doi.org/10.7910/DVN/DLORKM
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Feb 11, 2025
    Dataset provided by
    Harvard Dataverse
    Authors
    Liza Gordon-Rogers
    License

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

    Area covered
    United States
    Description

    Existing research shows a significant relationship between state racial minority population, the proportion of racial minority welfare recipients, and state levels of racial resentment with the proposal and adoption of punitive welfare policies (Soss et al. 2001; Fellowes and Rowe 2004; Volden 2006, Ledford 2018, etc.). This paper contributes to the extant literature by expanding on Ledford’s (2018) 2008-2014 analysis of state drug testing proposals by evaluating state-level racial factors and the diffusion of drug testing proposals from 2009 to 2018. Moreover, I account for the potential influence of drug-related variables on the probability of proposal by including variables measuring opioid overdose deaths and illicit drug use estimates. Event history analyses do not find that the size of a state’s Black population or percentage or proportion of Black welfare recipients have a significant effect on proposal. However, higher estimates of state-level racial resentment increase the likelihood of proposing drug testing for welfare legislation, supporting Ledford’s (2018) conclusion that racial biases matter in the diffusion of these policies. I find evidence that while opioid overdoses are negatively associated with the likelihood of proposal, estimates of illicit drug use have the opposite effect. Finally, analyses suggest that liberalism in state governments actually increases the probability of proposal.

  12. U

    United States US: Survey Mean Consumption or Income per Capita: Bottom 40%...

    • ceicdata.com
    Updated Mar 15, 2023
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    CEICdata.com (2023). United States US: Survey Mean Consumption or Income per Capita: Bottom 40% of Population: Annualized Average Growth Rate [Dataset]. https://www.ceicdata.com/en/united-states/poverty/us-survey-mean-consumption-or-income-per-capita-bottom-40-of-population-annualized-average-growth-rate
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    Dataset updated
    Mar 15, 2023
    Dataset provided by
    CEICdata.com
    License

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

    Time period covered
    Dec 1, 2016
    Area covered
    United States
    Description

    United States US: Survey Mean Consumption or Income per Capita: Bottom 40% of Population: Annualized Average Growth Rate data was reported at 1.310 % in 2016. United States US: Survey Mean Consumption or Income per Capita: Bottom 40% of Population: Annualized Average Growth Rate data is updated yearly, averaging 1.310 % from Dec 2016 (Median) to 2016, with 1 observations. United States US: Survey Mean Consumption or Income per Capita: Bottom 40% of Population: Annualized Average Growth Rate data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s United States – Table US.World Bank.WDI: Poverty. The growth rate in the welfare aggregate of the bottom 40% is computed as the annualized average growth rate in per capita real consumption or income of the bottom 40% of the population in the income distribution in a country from household surveys over a roughly 5-year period. Mean per capita real consumption or income is measured at 2011 Purchasing Power Parity (PPP) using the PovcalNet (http://iresearch.worldbank.org/PovcalNet). For some countries means are not reported due to grouped and/or confidential data. The annualized growth rate is computed as (Mean in final year/Mean in initial year)^(1/(Final year - Initial year)) - 1. The reference year is the year in which the underlying household survey data was collected. In cases for which the data collection period bridged two calendar years, the first year in which data were collected is reported. The initial year refers to the nearest survey collected 5 years before the most recent survey available, only surveys collected between 3 and 7 years before the most recent survey are considered. The final year refers to the most recent survey available between 2011 and 2015. Growth rates for Iraq are based on survey means of 2005 PPP$. The coverage and quality of the 2011 PPP price data for Iraq and most other North African and Middle Eastern countries were hindered by the exceptional period of instability they faced at the time of the 2011 exercise of the International Comparison Program. See PovcalNet for detailed explanations.; ; World Bank, Global Database of Shared Prosperity (GDSP) circa 2010-2015 (http://www.worldbank.org/en/topic/poverty/brief/global-database-of-shared-prosperity).; ; The comparability of welfare aggregates (consumption or income) for the chosen years T0 and T1 is assessed for every country. If comparability across the two surveys is a major concern for a country, the selection criteria are re-applied to select the next best survey year(s). Annualized growth rates are calculated between the survey years, using a compound growth formula. The survey years defining the period for which growth rates are calculated and the type of welfare aggregate used to calculate the growth rates are noted in the footnotes.

  13. F

    SNAP Benefits Recipients in Cook County, IL

    • fred.stlouisfed.org
    json
    Updated Dec 20, 2024
    + more versions
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    (2024). SNAP Benefits Recipients in Cook County, IL [Dataset]. https://fred.stlouisfed.org/series/CBR17031ILA647NCEN
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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
    Cook County, Illinois
    Description

    Graph and download economic data for SNAP Benefits Recipients in Cook County, IL (CBR17031ILA647NCEN) from 1989 to 2022 about Cook County, IL; Chicago; SNAP; nutrition; food stamps; benefits; IL; food; and USA.

  14. H

    Replication Data for: How Credit Markets Substitute for Welfare States and...

    • dataverse.harvard.edu
    Updated Mar 7, 2021
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    Harvard Dataverse (2021). Replication Data for: How Credit Markets Substitute for Welfare States and Influence Social Policy Preferences. Evidence from U.S. States [Dataset]. http://doi.org/10.7910/DVN/IGMSA4
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    application/x-rlang-transport(50933), txt(4600), type/x-r-syntax(50926), application/x-rlang-transport(9496137), type/x-r-syntax(22674), application/x-rlang-transport(98845), application/x-rlang-transport(196742)Available download formats
    Dataset updated
    Mar 7, 2021
    Dataset provided by
    Harvard Dataverse
    License

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

    Area covered
    United States
    Description

    What is the relationship between debt and the welfare state? Recent arguments suggest that credit markets fill gaps left by limited social benefits but often rest on thin empirical grounds. This article makes two contributions to this debate by using micro-level panel data and leveraging variation in welfare state generosity across US states and over time. First, it shows that households that experience unemployment borrow significantly more in states where unemployment benefits are low compared to states where benefits are high. A 10-percentage-point decrease in unemployment replacement rates increases debt levels by about 30 per cent, or $5,300. Secondly, the article documents that rising indebtedness in the context of weak social policies has political consequences and increases support for a stronger safety net. One explanation is that voters seek social protection against downstream debt-induced economic risks. These findings suggest that welfare states can play a critical role in mitigating growing indebtedness.

  15. Social security contributions as a percentage of national income Japan FY...

    • statista.com
    Updated Jul 11, 2025
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    Statista (2025). Social security contributions as a percentage of national income Japan FY 1990-2025 [Dataset]. https://www.statista.com/statistics/1479467/japan-social-security-contributions-as-a-share-of-national-income/
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    Dataset updated
    Jul 11, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Japan
    Description

    For the fiscal year 2025, the social security contributions in Japan were projected to account for ** percent of the national income. Social security premiums as a share of the national income were forecast to decline from **** percent in the previous year.

  16. f

    Percentage of variance and ANOVA results of the first three principal...

    • plos.figshare.com
    xls
    Updated May 30, 2023
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    Emilie Sénèque; Clémence Lesimple; Stéphane Morisset; Martine Hausberger (2023). Percentage of variance and ANOVA results of the first three principal components (PCs) of the landmarks configuration PCA of SSL and mixed method on the dorsum without neck rotation. [Dataset]. http://doi.org/10.1371/journal.pone.0211852.t002
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    xlsAvailable download formats
    Dataset updated
    May 30, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Emilie Sénèque; Clémence Lesimple; Stéphane Morisset; Martine Hausberger
    License

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

    Description

    Percentage of variance and ANOVA results of the first three principal components (PCs) of the landmarks configuration PCA of SSL and mixed method on the dorsum without neck rotation.

  17. Participation in U.S. public assistance programs by education level 2018

    • statista.com
    Updated Jul 5, 2024
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    Statista (2024). Participation in U.S. public assistance programs by education level 2018 [Dataset]. https://www.statista.com/statistics/234534/participation-in-us-public-assistance-programs-by-education-level/
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    Dataset updated
    Jul 5, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2018
    Area covered
    United States
    Description

    This statistic shows the percentage of the population aged 25 and over living in households that participated in different public assistance programs offered in the United States in 2018. Programs included here are Medicaid, School Lunch and the Food Stamps program. 46 percent of individuals with no high school diploma lived in households that had participated in Medicaid as of 2018.

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

    • data.ny.gov
    • datasets.ai
    • +3more
    application/rdfxml +5
    Updated Jun 30, 2025
    + more versions
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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
    Jun 30, 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.

  19. Health & Welfare Funds in the US

    • ibisworld.com
    Updated Jun 15, 2025
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    IBISWorld (2025). Health & Welfare Funds in the US [Dataset]. https://www.ibisworld.com/united-states/market-size/health-welfare-funds/1339/
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    Dataset updated
    Jun 15, 2025
    Dataset authored and provided by
    IBISWorld
    License

    https://www.ibisworld.com/about/termsofuse/https://www.ibisworld.com/about/termsofuse/

    Time period covered
    2003 - 2031
    Description

    Market Size statistics on the Health & Welfare Funds industry in the US

  20. Adoption & Child Welfare Services in the US

    • ibisworld.com
    • img3.ibisworld.com
    Updated Jun 15, 2025
    + more versions
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    IBISWorld (2025). Adoption & Child Welfare Services in the US [Dataset]. https://www.ibisworld.com/industry-statistics/employment/adoption-child-welfare-services-united-states/
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    Dataset updated
    Jun 15, 2025
    Dataset authored and provided by
    IBISWorld
    License

    https://www.ibisworld.com/about/termsofuse/https://www.ibisworld.com/about/termsofuse/

    Time period covered
    2006 - 2031
    Area covered
    United States
    Description

    Employment statistics on the Adoption & Child Welfare Services industry in the US

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Emerging Welfare Markets Project (2020). Global Welfare Dataset (GLOW) [Dataset]. http://doi.org/10.6084/m9.figshare.13220807.v1

Global Welfare Dataset (GLOW)

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8 scholarly articles cite this dataset (View in Google Scholar)
xlsxAvailable download formats
Dataset updated
Nov 11, 2020
Dataset provided by
figshare
Authors
Emerging Welfare Markets Project
License

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

Description

The Global Welfare Dataset (GLOW) is a cross-national panel dataset that aims at facilitating comparative social policy research on the Global North and Global South. The database includes 381 variables on 61 countries from years between 1989 and 2015. The database has four main categories of data: welfare, development, economy and politics.The data is the result of an original data compilation assembled by using information from several international and domestic sources. Missing data was supplemented by domestic sources where available. We sourced data primarily from these international databases:Atlas of Social Protection Indicators of Resilience and Equity – ASPIRE (World Bank)Government Finance Statistics (International Monetary Fund)Social Expenditure Database – SOCX (Organisation for Economic Co-operation and Development)Social Protection Statistics – ESPROSS (Eurostat)Social Security Inquiry (International Labour Organization)Social Security Programs Throughout the World (Social Security Administration)Statistics on Income and Living Conditions – EU-SILC (European Union)World Development Indicators (World Bank)However, much of the welfare data from these sources are not compatible between all country cases. We conducted an extensive review of the compatibility of the data and computed compatible figures where possible. Since the heart of this database is the provision of social assistance across a global sample, we applied the ASPIRE methodology in order to build comparable indicators across European and Emerging Market economies. Specifically, we constructed indicators of average per capita transfers and coverage rates for social assistance programs for all the country cases not included in the World Bank’s ASPIRE dataset (Austria, Belgium, Bulgaria, Czech Republic, Denmark, Estonia, Finland, France, Germany, Greece, Hungary, Iceland, Ireland, Italy, Latvia, Luxembourg, Netherlands, Norway, Poland, Portugal, Romania, Slovak Republic, Slovenia, Spain, Sweden, Switzerland, and United Kingdom.)For details, please see:https://glow.ku.edu.tr/about

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