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 DSS Payment Demographic data set is made up of:

Selected DSS payment data by

• Geography: state/territory, electorate, postcode, LGA and SA2 (for 2015 onwards)

• Demographic: age, sex and Indigenous/non-Indigenous

• Duration on Payment (Working Age & Pensions)

• Duration on Income Support (Working Age, Carer payment & Disability Support Pension)

• Rate (Working Age & Pensions)

• Earnings (Working Age & Pensions)

• Age Pension assets data

• JobSeeker Payment and Youth Allowance (other) Principal Carers

• Activity Tested Recipients by Partial Capacity to Work (NSA,PPS & YAO)

• Exits within 3, 6 and 12 months (Newstart Allowance/JobSeeker Payment, Parenting Payment, Sickness Allowance & Youth Allowance)

• Disability Support Pension by medical condition

• Care Receiver by medical conditions

• Commonwealth Rent Assistance by Payment type and Income Unit type have been added from March 2017. For further information about Commonwealth Rent Assistance and Income Units see the Data Descriptions and Glossary included in the dataset.

From December 2022, the "DSS Expanded Benefit and Payment Recipient Demographics – quarterly data" publication has introduced expanded reporting populations for income support recipients. As a result, the reporting population for Jobseeker Payment and Special Benefit has changed to include recipients who are current but on zero rate of payment and those who are suspended from payment. The reporting population for ABSTUDY, Austudy, Parenting Payment and Youth Allowance has changed to include those who are suspended from payment. The expanded report will replace the standard report after June 2023.

Additional data for DSS Expanded Benefit and Payment Recipient Demographics – quarterly data includes:

• A new contents page to assist users locate the information within the spreadsheet

• Additional data for the ‘Suspended’ population in the ‘Payment by Rate’ tab to enable users to calculate the old reporting rules.

• Additional information on the Employment Earning by ‘Income Free Area’ tab.

From December 2022, Services Australia have implemented a change in the Centrelink payment system to recognise gender other than the sex assigned at birth or during infancy, or as a gender which is not exclusively male or female. To protect the privacy of individuals and comply with confidentialisation policy, persons identifying as ‘non-binary’ will initially be grouped with ‘females’ in the period immediately following implementation of this change. The Department will monitor the implications of this change and will publish the ‘non-binary’ gender category as soon as privacy and confidentialisation considerations allow.

Local Government Area has been updated to reflect the Australian Statistical Geography Standard (ASGS) 2022 boundaries from June 2023.

Commonwealth Electorate Division has been updated to reflect the Australian Statistical Geography Standard (ASGS) 2021 boundaries from June 2023.

SA2 has been updated to reflect the Australian Statistical Geography Standard (ASGS) 2021 boundaries from June 2023.

From December 2021, the following are included in the report:

• selected payments by work capacity, by various demographic breakdowns

• rental type and homeownership

• Family Tax Benefit recipients and children by payment type

• Commonwealth Rent Assistance by proportion eligible for the maximum rate

• an age breakdown for Age Pension recipients

For further information, please see the Glossary.

From June 2021, data on the Paid Parental Leave Scheme is included yearly in June releases. This includes both Parental Leave Pay and Dad and Partner Pay, across multiple breakdowns. Please see Glossary for further information.

From March 2017 the DSS demographic dataset will include top 25 countries of birth. For further information see the glossary.

From March 2016 machine readable files containing the three geographic breakdowns have also been published for use in National Map, links to these datasets are below:

• Statistical Area 2 - SA2

• Commonwealth Electoral Division - CED

• Local Government Area - LGA

Pre June 2014 Quarter Data contains:

Selected DSS payment data by

• Geography: state/territory; electorate; postcode and LGA

• Demographic: age, sex and Indigenous/non-Indigenous

Note: JobSeeker Payment replaced Newstart Allowance and other working age payments from 20 March 2020, for further details see: https://www.dss.gov.au/benefits-payments/jobseeker-payment

For data on DSS payment demographics as at June 2013 or earlier, the department has published data which was produced annually. Data is provided by payment type containing timeseries’, state, gender, age range, and various other demographics. Links to these publications are below:

• Statistical Paper series

Concession card data in the March and June 2020 quarters have been re-stated to address an over-count in reported cardholder numbers.

28/06/2024 – The March 2024 and December 2023 reports were republished with updated data in the ‘Carer Receivers by Med Condition’ section, updates are exclusive to the ‘Care Receivers of Carer Payment recipients’ table, under ‘Intellectual / Learning’ and ‘Circulatory System’ conditions only.

Approximately ***** thousand people in Japan with disabilities received welfare services of support for continuous employment. The care for daily life was the second most used welfare service among people with disabilities at nearly *** thousand users.

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 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.

In this paper, we use the case of welfare recipients to validate conjoint experiments as a measure of stereotype content. Stereotypes are politically consequential, but their content can be difficult to measure. The conjoint measure of stereotype content, in which respondents see profiles describing hypothetical persons and rate these persons’ degree of belonging to the target group, offers several advantages over existing measures. However, no existing work evaluates the validity of this new measure. We evaluate this measurement technique using the case of welfare recipients. Stereotypes of welfare recipients are politically important and extensively studied, providing strong a priori expectations for portions of the stereotype, especially race, gender, and “deservingness.” At the same time, scholars disagree about the importance of another attribute with important political implications: immigration status. We find that aggregate stereotypes, measured via a conjoint experiment, match the strong a priori expectations: white Americans see welfare recipients as black, female, and violating the norms of work ethic. Individual-level stereotypes also predict welfare policy support—even when other demographic and ideological factors are accounted for. We also find that immigration status is not part of the welfare recipient stereotype for most Americans, but support for welfare is lower among those who do stereotype welfare recipients as undocumented immigrants. Finally, we suggest an improvement in the wording of the conjoint task. Overall, we confirm that conjoint experiments provide a valid measure of stereotypes.

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.

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 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.

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

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.

The project's primary research objective was to assess the degree to which violence, sabotage, and control present obstacles to waged work and job training for women in Allegheny County, Pennsylvania. It sought to develop and assess instruments and generate data to serve as guideposts for policy and service delivery. The study consisted of two parts: (1) a series of interviews with 40 female welfare recipients, and (2) a community literacy project that resulted in a collection of narratives by female welfare recipients. Interviews were conducted with 40 Temporary Assistance to Needy Families (TANF) recipients who were enrolled at the Reemployment Transition Center (RTC) in Allegheny County, Pennsylvania, between May 29, 2001, and June 27, 2001. After explaining the research project to the intake group, the interviewers met in private with interested potential subjects. The interviews consisted of an initial face-to-face retrospective interview (Parts 1 through 5), conducted when subjects enrolled at RTC, and three follow-up interviews designed to be administered quarterly. The first follow-up interview (Part 6) was conducted between October 15, 2001, and May 7, 2002. The second follow-up interview (Part 7) was conducted between March 12, 2002, and May 21, 2002. The final follow-up (Part 8) interview was conducted between July 3, 2002, and November 15, 2002. Follow-up interviews were in person or by telephone (depending on the respondent's preference). A key innovation of this research project was to gather data on school, work, welfare, and relationships with enough precision to trace the complex connections among battering, work, and welfare over the course of poor women's lives (Part 9). To do so, researchers collected data on the start and end dates of each period of education, each job, each period on welfare, and each relationship. These data enabled researchers to compare the number and length of spells at work and on welfare for women who did and women who did not report various obstacles, including battering. Finally, researchers summarized some elements of the longitudinal data such as relationship and employment information into a data file (Part 10). In all, there are 10 quantitative data files encompassing 1,895 variables. In addition to the 10 quantitative data files, there are respondent answers to open text questions (Part 11). Interviewers were able to record field notes, which included observations about the interview context, overall impressions of the process, elaborated answers to open-ended questions, etc. (Part 12). There are also 8 autobiographical narratives to serve as sources of qualitative data on the ways current and former welfare recipients experience and perceive work, welfare, and relationships (including abuse) (Part 13). The Part 1 (Retrospective Demographic and Hardship Data) data file contains demographic information including living arrangements and income. The Part 2 (Retrospective Education Data) data file contains information related to the respondent's prior education. The Part 3 (Retrospective Employment Data) data file contains information related to the respondent's employment history. The Part 4 (Retrospective Welfare Data) contains information related to the respondent's welfare history. The Part 5 (Retrospective Relationship Data) data file contains information related to the Work-Related Control, Abuse, and Sabotage Checklist (WORCASC) and the Work/School Abuse Scale (W/SAS), which asked questions about interference, sabotage, and violence in relationships. The Part 6 (First Follow-Up Interview Data), Part 7 (Second Follow-Up Interview Data), and Part 8 (Final Follow-Up Interview Data) data files include follow-up information to that collected in Parts 1-5. The Part 9 (Date and Spell Data) data file provides data on the start and end dates of each period of education, each job, each period on welfare, and each relationship, and the Part 10 (Summary Longitudinal Data) data file summarizes some elements of the longitudinal data.

Data set of extensive information on the changing circumstances of aged and disabled beneficiaries - Living, noninstitutionalized population of the continental United States from the Social Security Administration''''s Master Benefit Record who were new recipients of Social Security benefits (first payment in mid-1980 through mid-1981) or who had established entitlement to Medicare and were eligible for, but had not received, Social Security benefits as of July 1982. Based initially on a national cross-sectional survey of new beneficiaries in 1982, the original data base was expanded with information from administrative records and a second round of interviews in 1991. Variables measured in the original New Beneficiary Survey (NBS) include demographic characteristics; employment, marital, and childbearing histories; household composition; health; income and assets; program knowledge; and information about the spouses of married respondents. The 1991 New Beneficiary Follow-up (NBF) updated marital status, household composition, and the economic profile and contains additional sections on family contacts, postretirement employment, effects of widowhood and divorce, major reasons for changes in economic status, a more extensive section on health, and information on household moves and reasons for moving. Disabled-worker beneficiaries were also asked about their efforts to return to work, experiences with rehabilitation services, and knowledge of SSA work incentive provisions. The NBDS also links to administrative files of yearly covered earnings from 1951 to 1992, Medicare expenditures from 1984 to 1999, whether an SSI application has ever been made and payment status at five points in time, and dates of death as of spring 2001. For studies of health, the Medicare expenditure variables include inpatient hospital costs, outpatient hospital costs, home health care costs, and physicians'''' charges. The survey data cover functional capacity including ADLs and IADLs. For studies of work in retirement, the survey includes yearly information on extent of work, characteristics of the current or last job, and reasons for working or not working. No other data set has such detailed baseline survey data of a population immediately after retirement or disability, enhanced with subsequent measures over an extended period of time. The data are publicly available through NACDA and the Social Security Administration Website. * Dates of Study: 1982-1991 * Study Features: Longitudinal * Sample Size: ** 18,136 (NBS 1981) ** 12,677 (NBF 1991) Links: * 1982 (ICPSR): http://www.icpsr.umich.edu/icpsrweb/ICPSR/studies/08510 * 1991 (ICPSR): http://www.icpsr.umich.edu/icpsrweb/ICPSR/studies/06118

Peru PE: Adequacy: Social Safety Net Programs: % of Total Welfare of Beneficiary Households data was reported at 7.990 % in 2014. This records a decrease from the previous number of 8.539 % for 2013. Peru PE: Adequacy: Social Safety Net Programs: % of Total Welfare of Beneficiary Households data is updated yearly, averaging 10.108 % from Dec 2008 (Median) to 2014, with 7 observations. The data reached an all-time high of 12.811 % in 2008 and a record low of 7.990 % in 2014. Peru PE: Adequacy: Social Safety Net Programs: % of Total Welfare of Beneficiary Households data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Peru – Table PE.World Bank.WDI: Social Protection. Adequacy of social safety net programs is measured by the total transfer amount received by the population participating in social safety net programs as a share of their total welfare. Welfare is defined as the total income or total expenditure of beneficiary households. Social safety net programs include cash transfers and last resort programs, noncontributory social pensions, other cash transfers programs (child, family and orphan allowances, birth and death grants, disability benefits, and other allowances), conditional cash transfers, in-kind food transfers (food stamps and vouchers, food rations, supplementary feeding, and emergency food distribution), school feeding, other social assistance programs (housing allowances, scholarships, fee waivers, health subsidies, and other social assistance) and public works programs (cash for work and food for work). Estimates include both direct and indirect beneficiaries.; ; ASPIRE: The Atlas of Social Protection - Indicators of Resilience and Equity, The World Bank. Data are based on national representative household surveys. (datatopics.worldbank.org/aspire/); Simple average;

Description of the socio-demographic structure of applicants for welfare. Topics: Sex; age; marital status; education; activity; length of receiving welfare; family members up to and over 15 years; war refugee; nationality. Beschreibung der sozio-demographischen Struktur der Antragsteller auf Sozialhilfe. Themen: Geschlecht; Alter; Familienstand; Ausbildung; Tätigkeit; Dauer des Sozialhilfebezuges; Familienangehörige bis und ab 15 Jahre; Kriegsflüchtling; Nationalität. Stichtagsbezogene Erfassung File analysis Aktenanalyse (ohne Erfassungsbogen)

As of 2019, approximately 18 million South Africans vulnerable to poverty or in need of state support received social grants, relief assistance or social relief paid by the government. The largest group that received social grants were Black and Coloured South Africans.

In 2023, the average monthly payment to Social Security recipients was ***** U.S. dollars, an increase of around ** U.S. dollars compared with 2022.In the United States, Social Security benefits can be paid to eligible retirees, widowers, disabled workers, and their families.

Social and economic figures for 67 large West German cities. The data aggregated at city level have been collected for most topics over several years, but not necessarily over the entire reference time period.

Topics: 1. Situation of the city: surface area of the city; fringe location in the Federal Republic.

1. Residential population: total residential population; German and foreign residential population.

2. Population movement:live births; deaths; influx; departures; birth rate; death rate; population shifts; divorce rate; migration rate; illegitimate births.

3. Education figures: school degrees; occupational degrees; university degrees.

4. Wage and income: number of taxpayers in the various tax classes as well as municipality income tax revenue in the respective classes; calculated income figures, such as e.g. inequality of income distribution, mean income or mean wage of employees as well as standard deviation of these figures; GINI index.

5. Gross domestic product and gross product: gross product altogether; gross product organized according to area of business; gross domestic product; employees in the economic sectors.

6. Taxes and debts: debt per resident; income tax and business tax to which the municipality is entitled; municipality tax potential and indicators for municipality economic strength.

7. Debt repayment and management expenditures: debt repayment, interest expenditures, management expenditures and personnel expenditures.

8. From the ´BUNTE´ City Test of 1979 based on 100 respondents per city averages of satisfaction were calculated. satisfaction with: central location of the city, the number of green areas, historical buildings, the number of high-rises, the variety of the citizens, openness to the world, the dialect spoken, the sociability, the density of the traffic network, the OEPNV prices {local public passenger transport}, the supply of public transportation, provision with culture, the selection for consumers, the climate, clean air, noise pollution, the leisure selection, real estate prices, the supply of residences, one´s own payment, the job market selection, the distance from work, the number of one´s friends, contact opportunities, receptiveness of the neighbors, local recreational areas, sport opportunities and the selection of further education possibilities.

9. Traffic and economy: airport and Intercity connection; number of kilometers of subway available, kilometers of streetcar, and kilometers of bus lines per resident; car rate; index of traffic quality; commuters; property prices; prices for one´s own home; purchasing power.

10. Crime: recorded total crime and classification according to armed robbery, theft from living-rooms, of automobiles as well as from motor vehicles, robberies and purse snatching; classification according to young or adult suspects with these crimes; crime stress figures. 12. Welfare: welfare recipients and social expenditures; proportion of welfare recipients in the total population and classification according to German and foreign recipients; aid with livelihood; expenditures according to the youth welfare law; kindergarten openings; culture expenditures per resident. 13. Foreigners: proportion of foreigners in the residential population.

11. Students: number of German students and total number of students; proportion of students in the residential population.

12. Unemployed: unemployment rate; unemployed according to employment office districts and employment office departments.

13. Places of work: workers employed in companies, organized according to area of business.

14. Government employees: full-time, part-time and total government employees of federal government, states and municipalities as well as differentiated according to workers, employees, civil servants and judges.

15. Employees covered by social security according to education and branch of economy: proportion of various education levels in the individual branches of the economy.

's No. of recipients of welfare pension is 1person which is the 29th highest in Japan (by Prefecture). Transition Graphs and Comparison chart between Saga and Yamanashi(Yamanashi) and Tokushima(Tokushima)(Closest Prefecture in Population) are available. Various data can be downloaded and output in csv format for use in EXCEL free of charge.

Social Welfare Beneficiary Statistics (SHS), Federal Statistical Office; Cantonal population statistics and municipal financial statistics, Office of Data and Statistics BLMethodical Notes The key figures of the social assistance BL are only reported for municipalities with 50 or more supported persons in the survey year. The number of designated municipalities can therefore vary from year to year.Social assistance case/assisted person counts all cases/persons who have received social assistance benefits at least once in the relevant year. A case may include several assisted people. The social assistance rate corresponds to the share of social assistance recipients in the resident population. The reference population for the calculation is the end-of-year stock of the permanent resident population according to STATPOP (Federal Statistical Office; up to 2010 the final population of the residential population last year according to cantonal population statistics).Double censusesA support unit can be supported in several cases per year. For example, if there is a change of residence. In the case of social assistance cases and assisted persons, double counts are excluded in the district and cantonstotal, but not for the new/completed cases and the newly entered/disappeared persons.CompensationsSocial assistance cases are closed if no payment has been made for more than six months. Financial statements of cases for the current year are also counted, which received a last payout in the previous year and were completed in the current year. If an application for social assistance is again submitted after a break of more than six months, a new case will be opened.Net expense from municipal financial statisticsThe net expense (expense) that benefits social assistance recipients “directly” minus the refunds received (revenue). This includes integration measures. On the other hand, the administrative burden (social service and social welfare authority) is not included in the evaluation. The costs of the federally funded asylum system are not included. Thus, the costs of those persons who are kept by the Federal Office of Statistics (SHS) are considered. The net expense will be available from 2014.