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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
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.
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.
https://www.icpsr.umich.edu/web/ICPSR/studies/8662/termshttps://www.icpsr.umich.edu/web/ICPSR/studies/8662/terms
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.
https://www.icpsr.umich.edu/web/ICPSR/studies/8314/termshttps://www.icpsr.umich.edu/web/ICPSR/studies/8314/terms
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.
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.
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.
U.S. Government Workshttps://www.usa.gov/government-works
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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.
https://www.icpsr.umich.edu/web/ICPSR/studies/1294/termshttps://www.icpsr.umich.edu/web/ICPSR/studies/1294/terms
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.
Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
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In the 3 years to March 2021, white British families were the most likely to receive a type of state support.
CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
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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.
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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.
https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain
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.
CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
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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.
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.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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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.
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.
These data are monthly listings of households, recipients and expenditures for the Supplemental Nutrition Assistance Program.
https://www.ibisworld.com/about/termsofuse/https://www.ibisworld.com/about/termsofuse/
Market Size statistics on the Health & Welfare Funds industry in the US
https://www.ibisworld.com/about/termsofuse/https://www.ibisworld.com/about/termsofuse/
Employment statistics on the Adoption & Child Welfare Services industry in the US
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
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