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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
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This collection resulted from a project entitled ''The Welfare State in Comparative Perspective: Determinants, Program Characteristics, and Outcomes'', directed by Evelyne Huber, Charles Ragin and John Stephens. The data collection has an initial date ranging from 1989 to 1992. The data collection begins at 1960. The original sources of the collection are OECD and ILO. Data are divided into 6 categories: Social Expenditure and Revenue Data, Labor Force Data, Demographic Data, Macroeconomic Da ta: Penn World Tables (PWT), Other Macroeconomic Data, and Political Variables. Countries in the collection are: Australia, Austria, Belgium, Canada, Denmark, Finland, France, West Germany, Ireland, Italy, Japan, Luxembourg, Netherlands, New Zealand, Norway, Sweden, Switzerland, United Kingdom and United States.
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.
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Graph and download economic data for Government current expenditures: State and local: Income security: Welfare and social services (G161141A027NBEA) from 1959 to 2023 about social assistance, state & local, expenditures, government, services, income, GDP, and USA.
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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.
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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.
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United States New Mexico: Gen Exp: Public Welfare data was reported at 5,722,732.000 USD th in 2015. This records an increase from the previous number of 4,324,475.000 USD th for 2014. United States New Mexico: Gen Exp: Public Welfare data is updated yearly, averaging 260,103.000 USD th from Jun 1957 (Median) to 2015, with 57 observations. The data reached an all-time high of 5,722,732.000 USD th in 2015 and a record low of 16,464.000 USD th in 1957. United States New Mexico: Gen Exp: Public Welfare data remains active status in CEIC and is reported by US Census Bureau. The data is categorized under Global Database’s USA – Table US.F040: Revenue & Expenditure: State and Local Government: New Mexico.
Comprehensive dataset of 273 Social welfare centers in United States as of June, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.
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Users can view maps and tables related to child welfare policies in the United States. Background The State Child Welfare Policy Database contains a variety of information related to child welfare policies in each state. Data topics are grouped under three categories: child welfare financing; kinship care policies; older youth in foster care. Child welfare financing provides data on topics such as total expenditures, TANF, Title IV, and medicaid. Kinship care policies includes information on locating kin, guardianship policies, foster care and private kin arrangement s. Older youth in foster care includes information on foster care age limits, placements for older youth, and state-funded independent living transition services. User FunctionalityUsers can search by topic or by state. Data is presented in either a table (for state specific information) or by map (for data topic information). Data is available on a state level. Data tables are available for download in Excel format. Data Notes The data source is clearly labeled, and a link to the data source or to the state's welfare website is provided.
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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.
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United States - Government current expenditures: State and local: Income security: Welfare and social services was 215.14700 Bil. of $ in January of 2023, according to the United States Federal Reserve. Historically, United States - Government current expenditures: State and local: Income security: Welfare and social services reached a record high of 229.75200 in January of 2022 and a record low of 3.93700 in January of 1959. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Government current expenditures: State and local: Income security: Welfare and social services - last updated from the United States Federal Reserve on July of 2025.
Statistics of State of the Nation's Children from www.statcentral.ie under the theme People and Society - Social Conditions from the Office of the Minister for Children and Youth Affairs
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Comprehensive dataset of 2 Social welfare centers in New Hampshire, United States as of July, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.
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United States North Carolina: Gen Exp: Public Welfare data was reported at 13,730,562.000 USD th in 2015. This records an increase from the previous number of 12,786,380.000 USD th for 2014. United States North Carolina: Gen Exp: Public Welfare data is updated yearly, averaging 1,003,864.000 USD th from Jun 1957 (Median) to 2015, with 57 observations. The data reached an all-time high of 13,730,562.000 USD th in 2015 and a record low of 52,944.000 USD th in 1957. United States North Carolina: Gen Exp: Public Welfare data remains active status in CEIC and is reported by US Census Bureau. The data is categorized under Global Database’s USA – Table US.F042: Revenue & Expenditure: State and Local Government: North Carolina.
Financial overview and grant giving statistics of Ironworkers Tri State Welfare Plan
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In this paper we explore the relationship between Americans’ attitudes toward immigrants and immigration and their attitudes toward welfare. Using data from the Cumulative American National Election Study (CANES) from 1992-2012, we find ample evidence of the influence of immigration attitudes on both individuals’ attitudes toward welfare recipients and their attitudes toward increased welfare spending. These immigration effects persist even in face of statistical controls for attitudes toward African Americans and attitudes toward the poor; indeed, in our models the magnitude of the effects of immigration attitudes surpasses the magnitude of effects of attitudes toward blacks. Further, our findings of immigration effects withstand a range of robustness tests. Our results point to the possible "immigrationalization" of Americans’ welfare attitudes and provide strong evidence that how Americans think about immigration and immigrants is a major factor in how they think about welfare.
Included in this data set are data elements that will help the public identify all the programs currently funded by the New York State Office of Children and Family Services' (OCFS) Division of Child Welfare and Community Services (CWCS). Data elements include the name of the provider agency, the business address and phone number, the county served, type of program, funding source, description of services, contract dates, contract number, funding level and the agencies website, where available
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Graph and download economic data for Federal grants-in-aid to state and local governments: Income security: Welfare and social services (G170731A027NBEA) from 1959 to 2023 about grants, social assistance, state & local, federal, government, services, income, GDP, and USA.
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Debt has become an essential part of many people's daily lives. This paper develops a new comparative political economy perspective on the relationship between welfare states and household borrowing. I argue that the ways in which welfare states distribute benefits and credit regimes provide access to credit affect how individuals address social risks and, as a consequence, shape patterns of indebtedness. Permissive credit regimes substitute for social policies in limited welfare states, pushing economically disadvantaged groups into debt. Alternatively, credit markets complement social policies in the provision of financial liquidity in comprehensive welfare states, protecting vulnerable groups through government benefits while allowing less-protected affluent groups to borrow money. In restrictive regimes, people instead rely on savings, expenditure cuts, and family support. I test these arguments using an original measure of credit regime permissiveness, cross-national survey data, and full-population administrative records from Denmark and panel data from the United States.
Comprehensive dataset of 3 Social welfare centers in Mississippi, United States as of June, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.
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