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.

Since 2015, the number of recipients of social welfare in Sweden has decreased steadily. Whereas more than 415,000 people received social welfare in Sweden in 2015, it had sunk below 300,000 in 2022. However, even though the total number of recipients has decreased, the value of the total benefits has increased since 2017.

To help people reach a reasonable standard of living

The social welfare benefits in Sweden are administered by the National Board of Health and Welfare (Socialstyrelsen in Swedish). The aim of the benefits is to help people in need to reach a reasonable standard of living through monthly benefits. The amount of the average monthly payment was around 9,100 Swedish kronor in 2022.

 Benefits in foreign and Swedish households

Looking at households with Swedish-born and foreign-born citizens, the most common group of recipients was Swedish-born single men living without children. However, when looking at couples with children, far more foreign-born citizens received social benefits.

This table aims to show the distribution of welfare of persons in the Netherlands, measured by their income. The figures in this table are broken down to different person characteristics.

The population consists of all persons in private households with income on January 1st of the reporting year. In the population for the subject low-income persons, persons in both student households and households with income only for a part of the year have been excluded. The population for the subject economic independence consists of all persons aged from 15 to the OAP-age in private households with income on January 1st of the reporting year, except for students and pupils.

Data available from: 2011

Status of the figures: The figures for 2011 to 2022 are final. The figures for 2023 are preliminary.

Changes as of November 2024: The preliminary figures for 2023 have been added.

When will new figures be published? New figures will be published in the fall of 2025.

The information on the living allowance for low-income elderly in social welfare statistics is presented on the Social Affairs Bureau's website under "Statistical Data" and "Announcement of the release schedule for statistical data."

The Organisation for Economic Co-operation and Development (OECD) Social and Welfare Statistics (previously Social Expenditure Database) available via the UK Data Service includes the following databases:

The OECD Social Expenditure Database (SOCX) has been developed in order to serve a growing need for indicators of social policy. It includes reliable and internationally comparable statistics on public and mandatory and voluntary private social expenditure at programme level. SOCX provides a unique tool for monitoring trends in aggregate social expenditure and analysing changes in its composition. The main social policy areas are as follows: old age, survivors, incapacity-related benefits, health, family, active labour market programmes, unemployment, housing, and other social policy areas.

The Income Distribution database contains comparable data on the distribution of household income, providing both a point of reference for judging the performance of any country and an opportunity to assess the role of common drivers as well as drivers that are country-specific. They also allow governments to draw on the experience of different countries in order to learn "what works best" in narrowing income disparities and poverty. But achieving comparability in this field is also difficult, as national practices differ widely in terms of concepts, measures, and statistical sources.

The Child Wellbeing dataset compare 21 policy-focussed measures of child well-being in six areas, chosen to cover the major aspects of children’s lives: material well being; housing and environment; education; health and safety; risk behaviours; and quality of school life.

The Better Life Index: There is more to life than the cold numbers of GDP and economic statistics. This Index allows you to compare well-being across countries, based on 11 topics the OECD has identified as essential, in the areas of material living conditions and quality of life.

The Social Expenditure data were first provided by the UK Data Service in March 2004.

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.

Employment, economy and welfare including labor force population, labor force participation rate, labor force participation rate - junior high school and below, labor force participation rate - senior high school (vocational), labor force participation rate - college and above, employed population, unemployment rate, unemployment rate - junior high school and below, unemployment rate - senior high school (vocational), unemployment rate - college and above, number of registered companies (gender of responsible person), number of foreign workers in industry and social welfare, number of low-income households - population, number of low-income households - households (gender of household head), number of low-income indigenous households - population, number of low-income indigenous households - households (gender of household head), number of people with disabilities, ratio of people with disabilities to the total population, number of solitary elderly people in need of care, number of insured persons under agricultural health insurance, number of insured persons under labor insurance, number of elderly farmers receiving welfare subsidies, number of actually employed persons with disabilities through quota employment, number of living allowances for people with disabilities, number of students with disabilities receiving educational subsidies, number of beneficiaries of living allowances for elderly with middle and low income, number of recipients of special care allowances for elderly with middle and low income, number of households in special circumstances (gender of parents), number of volunteers in social welfare services, registered homeless population, number of profit-making enterprises - by gender of responsible person, representative or manager, number of union members, number of first-time recipients of parental leave allowances for child care.

recipients sex social-protection social-protection-benefits social-protection-payments social-protection-schemes social-welfare social-welfare-benefits social-welfare-payments social-welfare-schemes

Graph and download economic data for SNAP Benefits Recipients in Los Angeles County, CA (CBR06037CAA647NCEN) from 1989 to 2022 about Los Angeles County, CA; SNAP; nutrition; food stamps; Los Angeles; benefits; food; CA; and USA.

Welfare recipients by scheme and age band. Published by Department of Social Protection. Available under the license Creative Commons Attribution 4.0 (CC-BY-4.0).Quarterly data on recipients of selected social protection schemes....

This report provides information about the demographics of children and parents at steps in the child welfare system. It is produced in compliance with Local Law 132 of 2022.

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.

Weekly recipient numbers for the Pandemic Unemployment Payment (PUP). The PUP is a weekly payment for employees and the self-employed who lost employment due to the COVID-19 public health emergency. Figures are updated on a weekly basis (Wednesdays at 11am). The figures Refer to the number of persons receiving a PUP each week. Arrears payments may be due in some cases; recipient numbers reflect the week of the Entitlement period, rather than the week of payment. The EUR 203 rate of payment increased to EUR 208 in the first week of January 2022, in line with Budget 2022. The age band refers to the age band of the recipient as of 31st December in the year the payment issued.

In 2023 there were approximately **** million male retirees receiving social security benefits, compared with about **** million female recipients. The number of female recipients surpassed that of male retirees for the first time in 2016.In the United States, Social Security benefits can be paid to eligible retirees, widowers, disabled workers, and their families.

The number of people receiving social benefits in Denmark decreased from 2013. Moreover, there were significantly more people from non-western countries than people from western countries who received social benefits between 2012 and 2022. In 2022, ****** people with a non-western origin and around ***** with a western origin received social benefits in Denmark. The majority of social benefits recipients had Danish origin though. The Danish government implemented a reform in 2014 that tightened the conditions for receiving social benefits.

This table aims to show the distribution of welfare of private households, measured by their income, expenditures and wealth. The figures in this table are broken down to different household characteristics.

The population consists of all private households with income on January 1st of the reporting year. In the population for the subject low-income households, both student households and households with income only for a part of the year have been excluded.

Data available from: 2011

Status of the figures: The figures for 2011 to 2022 are final. The figures for 2023 are preliminary.

Changes as of 1 November 2024: Figures for 2022 are finalized. Preliminary figures for 2023 are added.

Changes as of 9 February 2022: The preliminary figures for 2020 concerning ‘Mean expenditures’ have been added. The topic 'Mean expenditures' only contains 5-annual data, for 2015 and 2020. The data for 2015 for this topic were still preliminary and are now final.

When will new figures be published? New figures will be published in the fall of 2025.

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

The dataset collection provides information on Child Welfare Clients in Open Care aged 0-17 as a percentage of the total population of the same age in Finland. The collection includes a table named 'Child Welfare Clients in Open Care Aged 0-17 as % of Total Population of Same Age in Finland'. The tables are sourced from the Sotkanet website in Finland.

What are the relative contributions of stereotypes about the race and deservingness of welfare recipients to Americans’ opinions on welfare? A recent study employing a conjoint-experimental method finds that Americans’ stereotypes of welfare recipients as undeserving drive negative attitudes towards welfare, while stereotypes of welfare recipients as Black have little effect. However, this finding may be produced by the measure of welfare attitudes that includes questions implicating deservingness. We implement a conceptual replication of that study using different measures of welfare policy opinions that directly ask respondents about spending, both on welfare generally and on specific welfare programs. We show that when support for welfare is measured using the spending questions, stereotypes about race are significantly associated with opposition to welfare. These results have important implications for the debate on Americans’ opposition to welfare programs, as well as for the measurement of policy opinions in surveys.

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.