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.

In 2023, there were an average of 67 million monthly recipients of social security benefits in the United States. This is an increase since 2022, and an increase of nearly ten 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.

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.

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 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.

In the fiscal year 2022, the average monthly number of public assistance recipients in Japan accounted for around 1.62 percent of the total population. The number of persons receiving public assistance decreased by 0.7 percent compared to the previous fiscal year.

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, 14,000 people with a non-western origin and around 2,000 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.

The percentage of the population in the poorest quintile covered by social protection and labor programs (SPL). The indicator is estimated by dividing the number of SPL beneficiaries in the poorest quintile by the number of the population in the poorest quintile, multiplied by 100. It includes direct and indirect beneficiaries (all members of the household where at least one member receives an SPL program. The poorest quintile is generated using pretransfer per capita welfare (income or consumption); the pre-transfer welfare is generated by subtracting 50 percent of social insurance and labor market transfers and 100 percent of social assistance transfers. SPL includes social assistance programs (conditional and unconditional cash transfers, social pensions, public works programs, fee waivers and targeted subsidies, school feeding program, in-kind transfers, and other social assistance), social insurance (contributory pensions and other social insurance), and labor market programs (passive and active measures). The indicator is generated by country and then aggregated at the regional and income group levels. The source of the indicator is the Atlas of Social Protection: Indicators of Resilience and Equity (ASPIRE). ASPIRE is the World Bank's premier compilation of indicators to analyze the scope and performance of social protection programs. Developed by the Social Protection and Jobs (SPJ) Global Practice, ASPIRE provides indicators for 129 countries on social assistance, social insurance and labor market programs based on both program-level administrative data and national household survey data. ASPIRE is an ongoing project that aims to improve SPL data quality, comparability, and availability to better inform SPL policies and programs. ASPIRE also produces SPL coverage indicators for the total population and for different population groups (pre- and post-transfer income/consumption quintiles, urban and rural populations, and poor and non-poor defined by the relative and international poverty lines). These indicators are used for each SPL program captured in the survey, and for 12 standardized SPL program categories and three SPL areas. The social protection (SP) coverage indicator has the following features: - It is generated using official nationally representative household surveys. - Its target population is World Bank client countries. - Actual country coverage is 101 countries out of 144 World Bank client countries. - For a country data point, it uses the most recent survey year within a 10-year time window (2013-2022). - The indicators do not rely on imputation for missing values, nor inter- or extrapolation. - It provides the best information available despite caveats.

The Supplemental Nutrition Assistance Program (SNAP), formerly known as Food Stamps, helps low-income households buy the food they need for good health. Source: Maryland Department of Human Resources Years Available: 2019

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.

Graph and download economic data for SNAP Benefits Recipients in Baltimore city, MD (CBR24510MDA647NCEN) from 1989 to 2022 about Baltimore City, MD; Baltimore; SNAP; nutrition; MD; food stamps; benefits; food; and USA.

G0104 - SDG 1.3.1 Proportion of the population receiving Social Welfare Payments by County, Year and Statistic. Published by Central Statistics Office. Available under the license Creative Commons Attribution 4.0 (CC-BY-4.0).SDG 1.3.1 Proportion of the population receiving Social Welfare Payments by County, Year and Statistic...

Graph and download economic data for Income Before Taxes: Public Assistance, Supplemental Security Income, SNAP by Race: White and All Other Races, Not Including Black or African American (CXUWELFARELB0903M) from 2003 to 2023 about supplements, assistance, social assistance, public, SNAP, food stamps, tax, white, food, income, and USA.

Goal 1End poverty in all its forms everywhereTarget 1.1: By 2030, eradicate extreme poverty for all people everywhere, currently measured as people living on less than $1.25 a dayIndicator 1.1.1: Proportion of the population living below the international poverty line by sex, age, employment status and geographic location (urban/rural)SI_POV_DAY1: Proportion of population below international poverty line (%)SI_POV_EMP1: Employed population below international poverty line, by sex and age (%)Target 1.2: By 2030, reduce at least by half the proportion of men, women and children of all ages living in poverty in all its dimensions according to national definitionsIndicator 1.2.1: Proportion of population living below the national poverty line, by sex and ageSI_POV_NAHC: Proportion of population living below the national poverty line (%)Indicator 1.2.2: Proportion of men, women and children of all ages living in poverty in all its dimensions according to national definitionsSD_MDP_MUHC: Proportion of population living in multidimensional poverty (%)SD_MDP_ANDI: Average proportion of deprivations for people multidimensionally poor (%)SD_MDP_MUHHC: Proportion of households living in multidimensional poverty (%)SD_MDP_CSMP: Proportion of children living in child-specific multidimensional poverty (%)Target 1.3: Implement nationally appropriate social protection systems and measures for all, including floors, and by 2030 achieve substantial coverage of the poor and the vulnerableIndicator 1.3.1: Proportion of population covered by social protection floors/systems, by sex, distinguishing children, unemployed persons, older persons, persons with disabilities, pregnant women, newborns, work-injury victims and the poor and the vulnerableSI_COV_MATNL: [ILO] Proportion of mothers with newborns receiving maternity cash benefit (%)SI_COV_POOR: [ILO] Proportion of poor population receiving social assistance cash benefit, by sex (%)SI_COV_SOCAST: [World Bank] Proportion of population covered by social assistance programs (%)SI_COV_SOCINS: [World Bank] Proportion of population covered by social insurance programs (%)SI_COV_CHLD: [ILO] Proportion of children/households receiving child/family cash benefit, by sex (%)SI_COV_UEMP: [ILO] Proportion of unemployed persons receiving unemployment cash benefit, by sex (%)SI_COV_VULN: [ILO] Proportion of vulnerable population receiving social assistance cash benefit, by sex (%)SI_COV_WKINJRY: [ILO] Proportion of employed population covered in the event of work injury, by sex (%)SI_COV_BENFTS: [ILO] Proportion of population covered by at least one social protection benefit, by sex (%)SI_COV_DISAB: [ILO] Proportion of population with severe disabilities receiving disability cash benefit, by sex (%)SI_COV_LMKT: [World Bank] Proportion of population covered by labour market programs (%)SI_COV_PENSN: [ILO] Proportion of population above statutory pensionable age receiving a pension, by sex (%)Target 1.4: By 2030, ensure that all men and women, in particular the poor and the vulnerable, have equal rights to economic resources, as well as access to basic services, ownership and control over land and other forms of property, inheritance, natural resources, appropriate new technology and financial services, including microfinanceIndicator 1.4.1: Proportion of population living in households with access to basic servicesSP_ACS_BSRVH2O: Proportion of population using basic drinking water services, by location (%)SP_ACS_BSRVSAN: Proportion of population using basic sanitation services, by location (%)Indicator 1.4.2: Proportion of total adult population with secure tenure rights to land, (a) with legally recognized documentation, and (b) who perceive their rights to land as secure, by sex and type of tenureSP_LGL_LNDDOC: Proportion of people with legally recognized documentation of their rights to land out of total adult population, by sex (%)SP_LGL_LNDSEC: Proportion of people who perceive their rights to land as secure out of total adult population, by sex (%)SP_LGL_LNDSTR: Proportion of people with secure tenure rights to land out of total adult population, by sex (%)Target 1.5: By 2030, build the resilience of the poor and those in vulnerable situations and reduce their exposure and vulnerability to climate-related extreme events and other economic, social and environmental shocks and disastersIndicator 1.5.1: Number of deaths, missing persons and directly affected persons attributed to disasters per 100,000 populationVC_DSR_MISS: Number of missing persons due to disaster (number)VC_DSR_AFFCT: Number of people affected by disaster (number)VC_DSR_MORT: Number of deaths due to disaster (number)VC_DSR_MTMP: Number of deaths and missing persons attributed to disasters per 100,000 population (number)VC_DSR_MMHN: Number of deaths and missing persons attributed to disasters (number)VC_DSR_DAFF: Number of directly affected persons attributed to disasters per 100,000 population (number)VC_DSR_IJILN: Number of injured or ill people attributed to disasters (number)VC_DSR_PDAN: Number of people whose damaged dwellings were attributed to disasters (number)VC_DSR_PDYN: Number of people whose destroyed dwellings were attributed to disasters (number)VC_DSR_PDLN: Number of people whose livelihoods were disrupted or destroyed, attributed to disasters (number)Indicator 1.5.2: Direct economic loss attributed to disasters in relation to global gross domestic product (GDP)VC_DSR_GDPLS: Direct economic loss attributed to disasters (current United States dollars)VC_DSR_LSGP: Direct economic loss attributed to disasters relative to GDP (%)VC_DSR_AGLH: Direct agriculture loss attributed to disasters (current United States dollars)VC_DSR_HOLH: Direct economic loss in the housing sector attributed to disasters (current United States dollars)VC_DSR_CILN: Direct economic loss resulting from damaged or destroyed critical infrastructure attributed to disasters (current United States dollars)VC_DSR_CHLN: Direct economic loss to cultural heritage damaged or destroyed attributed to disasters (millions of current United States dollars)VC_DSR_DDPA: Direct economic loss to other damaged or destroyed productive assets attributed to disasters (current United States dollars)Indicator 1.5.3: Number of countries that adopt and implement national disaster risk reduction strategies in line with the Sendai Framework for Disaster Risk Reduction 2015–2030SG_DSR_LGRGSR: Score of adoption and implementation of national DRR strategies in line with the Sendai FrameworkSG_DSR_SFDRR: Number of countries that reported having a National DRR Strategy which is aligned to the Sendai FrameworkIndicator 1.5.4: Proportion of local governments that adopt and implement local disaster risk reduction strategies in line with national disaster risk reduction strategiesSG_DSR_SILS: Proportion of local governments that adopt and implement local disaster risk reduction strategies in line with national disaster risk reduction strategies (%)SG_DSR_SILN: Number of local governments that adopt and implement local DRR strategies in line with national strategies (number)SG_GOV_LOGV: Number of local governments (number)Target 1.a: Ensure significant mobilization of resources from a variety of sources, including through enhanced development cooperation, in order to provide adequate and predictable means for developing countries, in particular least developed countries, to implement programmes and policies to end poverty in all its dimensionsIndicator 1.a.1: Total official development assistance grants from all donors that focus on poverty reduction as a share of the recipient country’s gross national incomeDC_ODA_POVLG: Official development assistance grants for poverty reduction, by recipient countries (percentage of GNI)DC_ODA_POVDLG: Official development assistance grants for poverty reduction, by donor countries (percentage of GNI)DC_ODA_POVG: Official development assistance grants for poverty reduction (percentage of GNI)Indicator 1.a.2: Proportion of total government spending on essential services (education, health and social protection)SD_XPD_ESED: Proportion of total government spending on essential services, education (%)Target 1.b: Create sound policy frameworks at the national, regional and international levels, based on pro-poor and gender-sensitive development strategies, to support accelerated investment in poverty eradication actionsIndicator 1.b.1: Pro-poor public social spending

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.

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.

The operation on Structural Indicators takes on several objectives.The first and overall objective lies in achieving, with the highest possible quality, the production of a series of basic or context indicators that serve, or may serve, as a reference.The second objective is to achieve methodological homogeneity and precision in calculation in relation to other international systems of indicators ¿and especially those defined by Eurostat¿ to create and recreate series that add the time perspective.To design and implement dynamic file formats that allow for the organisation and access to all of the information.Ultimately, the specific objective of the operation focuses on the coordination, management, verification and archiving of the system of indicators.

This dataset presents the annual data on monthly average number of recipients of daily unemployment insurance allowances (UI), invalidity insurance pensions (II) and social assistance (SA), in absolute numbers and percentages, by benefit, gender, age group and nationality (Swiss/foreigners), since 2010. Descriptions of the variables in the CSV file are available in the Appendix.

Graph and download economic data for SNAP Benefits Recipients in Philadelphia County/City, PA (CBR42101PAA647NCEN) from 1989 to 2022 about Philadelphia County/City, PA; Philadelphia; SNAP; nutrition; food stamps; benefits; PA; food; and USA.

Graph and download economic data for SNAP Benefits Recipients in Erie County, NY (CBR36029NYA647NCEN) from 1989 to 2022 about Erie County, NY; Buffalo; SNAP; nutrition; food stamps; benefits; NY; food; and USA.