In 2022, welfare expenditure as a share of GDP in Israel reached 12.3 percent. This represented a decline compared to the preceding year, when the share of national expenditure on welfare services reached 13.1 percent. Social spending increased during 2020, as a result of the coronavirus pandemic-related government spending.

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.

China GDP: TI: Health Care, Social Security and Welfare data was reported at 2,751.461 RMB bn in 2021. This records an increase from the previous number of 2,439.612 RMB bn for 2020. China GDP: TI: Health Care, Social Security and Welfare data is updated yearly, averaging 1,002.280 RMB bn from Dec 2004 (Median) to 2021, with 18 observations. The data reached an all-time high of 2,751.461 RMB bn in 2021 and a record low of 262.071 RMB bn in 2004. China GDP: TI: Health Care, Social Security and Welfare data remains active status in CEIC and is reported by National Bureau of Statistics. The data is categorized under China Premium Database’s National Accounts – Table CN.AA: Gross Domestic Product.

As of 2022, the total national expenditure on welfare services in Israel amounted to just over *** billion Israeli shekels, which is equivalent to about to 60 billion U.S. dollars. This represented an increase of *** percent compared to the preceding year.

In a survey from 2020, the largest share of companies in Italy declared to not monitor the social impact of the company's corporate welfare services. On the other hand, some ** percent stated to evaluate the effects that their services had on a social level.

According to a survey published in 2020, the majority of employees in Italy stated that corporate welfare was improving their quality of life. In particular, mostly managers and executives declared to experience a high life quality related to the benefits of corporate welfare. Further data on corporate welfare show that managers and executives represented the largest majority of people working in Italy who were willing to accept an increase in salary or a bonus in form of welfare services.

Graph and download economic data for Government current expenditures: Income security: Welfare and social services (G160371A027NBEA) from 1959 to 2023 about social assistance, expenditures, government, services, income, GDP, and USA.

Social welfare. Aid 2020

South Korea HIES: AS: AME: 2020p: CS: MS: Social Welfare data was reported at 6,410.753 KRW in 2024. This records a decrease from the previous number of 8,039.731 KRW for 2023. South Korea HIES: AS: AME: 2020p: CS: MS: Social Welfare data is updated yearly, averaging 7,286.435 KRW from Dec 2019 (Median) to 2024, with 6 observations. The data reached an all-time high of 9,409.056 KRW in 2019 and a record low of 6,090.702 KRW in 2022. South Korea HIES: AS: AME: 2020p: CS: MS: Social Welfare data remains active status in CEIC and is reported by Statistics Korea. The data is categorized under Global Database’s South Korea – Table KR.H059: 2019 Household Income and Expenditure Survey: 1 or more Members: Salary and Wage Earner Households: Real: 2020p.

Iran Adequacy: Social Safety Net Programs: % of Total Welfare of Beneficiary Households data was reported at 25.779 % in 2020. This records an increase from the previous number of 5.813 % for 2019. Iran Adequacy: Social Safety Net Programs: % of Total Welfare of Beneficiary Households data is updated yearly, averaging 7.140 % from Dec 2017 (Median) to 2020, with 4 observations. The data reached an all-time high of 25.779 % in 2020 and a record low of 5.813 % in 2019. Iran 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 Iran – Table IR.World Bank.WDI: Social: Social Protection and Insurance. 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/);;

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This statistic shows the gross output of social assistance in the United States from 1998 to 2020. In 1998, the gross output of this sector came to around ** billion U.S. dollars. By 2020, the gross output had increased to almost *** billion U.S. dollars.

The Child Care and Development Fund (CCDF) provides federal money to states and territories to provide assistance to low-income families, to obtain quality child care so they can work, attend training, or receive education. Within the broad federal parameters, States and Territories set the detailed policies. Those details determine whether a particular family will or will not be eligible for subsidies, how much the family will have to pay for the care, how families apply for and retain subsidies, the maximum amounts that child care providers will be reimbursed, and the administrative procedures that providers must follow. Thus, while CCDF is a single program from the perspective of federal law, it is in practice a different program in every state and territory. The CCDF Policies Database project is a comprehensive, up-to-date database of CCDF policy information that supports the needs of a variety of audiences through (1) analytic data files, (2) a project website and search tool, and (3) an annual report (Book of Tables). These resources are made available to researchers, administrators, and policymakers with the goal of addressing important questions concerning the effects of child care subsidy policies and practices on the children and families served. A description of the data files, project website and search tool, and Book of Tables is provided below: 1. Detailed, longitudinal analytic data files provide CCDF policy information for all 50 states, the District of Columbia, and the United States territories and outlying areas that capture the policies actually in effect at a point in time, rather than proposals or legislation. They capture changes throughout each year, allowing users to access the policies in place at any point in time between October 2009 and the most recent data release. The data are organized into 32 categories with each category of variables separated into its own dataset. The categories span five general areas of policy including: Eligibility Requirements for Families and Children (Datasets 1-5) Family Application, Terms of Authorization, and Redetermination (Datasets 6-13) Family Payments (Datasets 14-18) Policies for Providers, Including Maximum Reimbursement Rates (Datasets 19-27) Overall Administrative and Quality Information Plans (Datasets 28-32) The information in the data files is based primarily on the documents that caseworkers use as they work with families and providers (often termed "caseworker manuals"). The caseworker manuals generally provide much more detailed information on eligibility, family payments, and provider-related policies than the CCDF Plans submitted by states and territories to the federal government. The caseworker manuals also provide ongoing detail for periods in between CCDF Plan dates. Each dataset contains a series of variables designed to capture the intricacies of the rules covered in the category. The variables include a mix of categorical, numeric, and text variables. Most variables have a corresponding notes field to capture additional details related to that particular variable. In addition, each category has an additional notes field to capture any information regarding the rules that is not already outlined in the category's variables. Beginning with the 2020 files, the analytic data files are supplemented by four additional data files containing select policy information featured in the annual reports (prior to 2020, the full detail of the annual reports was reproduced as data files). The supplemental data files are available as 4 datasets (Datasets 33-36) and present key aspects of the differences in CCDF-funded programs across all states and territories as of October 1 of each year (2009-2022). The files include variables that are calculated using several variables from the analytic data files (Datasets 1-32) (such as copayment amounts for example family situations) and information that is part of the annual project reports (the annual Book of Tables) but not stored in the full database (such as summary market rate survey information from the CCDF plans). 2. The project website and search tool provide access to a point-and-click user interface. Users can select from the full set of public data to create custom tables. The website also provides access to the full range of reports and products released under the CCDF Policies Data

Covid-19 has affected people in various ways, directly through disease and death, and indirectly through disease containment measures. Understanding how the pandemic and countermeasures agaist it impacted quality of life is valuable for policy makers.

To address and compare the various components of quality of life, a suitable framework is needed, which the capability approach provides. This approach measures quality of life as opportunities, compared to traditional welfarist economics that defines wellbeing as utility.

For this study, we used a capability list from a Swedish governmental investigation (SOU 2015:56) that suggested relevant capabilities for the Swedish situation: Financial situation, Social relations, Health, Housing, Living environment, Occupation, Knowledge, Security, Time balance, and Political and civil rights.

The study was performed in June 2020. In an internet-based survey, we quota-sampled 500 Swedish residents from a commercial web-panel, after population proportions of age, region of residence, education, gender.

The survey started with the informed consent statement, followed by questions on participants’ current baseline capability levels in the ten capability dimensions (Low, Medium, Complete). Next followed questions about perceived changes in capability during 2020 in the ten dimensions on a five-item Likert scale (Much less, Less, Equal, Higher, Much higher). The survey ended with a number of background questions on socio-economic and demographic conditions.

Sampling large numbers of participants using a commercial web panel is administratively more feasible and quicker than other sampling methods, such as for example direct sampling from the general population. Also, the response rate may be higher and data handling easier. On the other hand, it is less transparent how recruitment into the study was performed and web panel participants may not be representative of the population. Those limitations should be kept in mind when analysing the data and interpreting results.

Data were collected with a PHP-based web application for surveys (limesurvey version 4.2.2, https://www.limesurvey.org) hosted on a Umeå university server. The data was collected anonymously.

India RA: Disbursements: SS: Social Security and Welfare data was reported at 78,046.800 INR mn in 2020. This records an increase from the previous number of 62,533.100 INR mn for 2019. India RA: Disbursements: SS: Social Security and Welfare data is updated yearly, averaging 28,701.500 INR mn from Mar 1998 (Median) to 2020, with 23 observations. The data reached an all-time high of 201,688.500 INR mn in 2011 and a record low of 7,508.900 INR mn in 2003. India RA: Disbursements: SS: Social Security and Welfare data remains active status in CEIC and is reported by Ministry of Finance. The data is categorized under Global Database’s India – Table IN.FA016: Consolidated Fund of India: Revenue Account: Disbursements.

This dataset, released February 2020, contains the total Population projections for years 2020, 2025 and 2030, by 5-year age groups: 0-14, 15-24, 25-44, 45-64, 65+, 70+, 75+, 85+ years. The data is by Population Health Area (PHA) 2016 geographic boundaries based on the 2016 Australian Statistical Geography Standard (ASGS). Population Health Areas, developed by PHIDU, are comprised of a combination of whole SA2s and multiple (aggregates of) SA2s, where the SA2 is an area in the ABS structure. For more information please see the data source notes on the data. Source: These data are based on customised projections prepared for the Australian Government Department of Health by the Australian Bureau of Statistics and originally published by the Australian Institute of Health and Welfare. PHA data were compiled by PHIDU based on these customised projections for 2020, 2025, and 2030.. AURIN has spatially enabled the original data. Data that was not shown/not applicable/not published/not available for the specific area ('#', '..', '^', 'np, 'n.a.', 'n.y.a.' in original PHIDU data) was removed.It has been replaced by by Blank cells. For other keys and abbreviations refer to PHIDU Keys.

This dataset, released February 2020, contains the female Population projections for years 2020, 2025 and 2030, by 5-year age groups: 0-14, 15-24, 25-44, 45-64, 65+, 70+, 75+, 85+ years. The data is by Population Health Area (PHA) 2016 geographic boundaries based on the 2016 Australian Statistical Geography Standard (ASGS). Population Health Areas, developed by PHIDU, are comprised of a combination of whole SA2s and multiple (aggregates of) SA2s, where the SA2 is an area in the ABS structure. For more information please see the data source notes on the data. Source: These data are based on customised projections prepared for the Australian Government Department of Health by the Australian Bureau of Statistics and originally published by the Australian Institute of Health and Welfare. PHA data were compiled by PHIDU based on these customised projections for 2020, 2025, and 2030.. AURIN has spatially enabled the original data. Data that was not shown/not applicable/not published/not available for the specific area ('#', '..', '^', 'np, 'n.a.', 'n.y.a.' in original PHIDU data) was removed.It has been replaced by by Blank cells. For other keys and abbreviations refer to PHIDU Keys.

Financial variables of NACE, sector Q (human health and social work), compiled for the Netherlands in accordance with the SBS methodology of Eurostat for population of market-oriented units over 2020 on 4th digit level of NACE (results during research trajectory provided to Eurostat conform Eurostat grant 101022410 - 2020-NL-B5640-EBS).

Explore the progression of average salaries for graduates in Silver Care & Health Welfare (Equivalent To Elderly Care And Social Welfare from 2020 to 2023 through this detailed chart. It compares these figures against the national average for all graduates, offering a comprehensive look at the earning potential of Silver Care & Health Welfare (Equivalent To Elderly Care And Social Welfare relative to other fields. This data is essential for students assessing the return on investment of their education in Silver Care & Health Welfare (Equivalent To Elderly Care And Social Welfare, providing a clear picture of financial prospects post-graduation.