This statistic shows the homeless people's major income sources in South Korea as of *************. During the surveyed time period, **** percent of the interviewed homeless people answered that they had earned wages or salaries from work.

The study charted Finnish opinions on and experiences of welfare and inequality as well as feelings of satisfaction and happiness. TThe study was as part of a project entitled Tackling Inequalities in Time of Austerity (TITA) funded by the Strategic Research Council of the Academy of Finland (decision number: 293103). First, the respondents were asked about their life satisfaction, mood, ability to achieve things, perceived status in society and satisfaction with the status. Regarding income and personal finance, net income of the household and the ease of covering usual expenses with the income was surveyed as well as the monthly costs incurred by debt. The respondents were asked whether their parents had been unemployed or received social security benefits when they were in their teens and whether the respondents themselves had received social assistance in the previous year. Feelings of loneliness, depression, failure and happiness in the previous 12 months were charted. The respondents were asked how often they did things they enjoyed, how well they took care of their health, how much they were able to spend time with people they liked and how satisfied they were with their neighbourhood in terms of built and natural environment and access to services. The respondents were asked how much they cared about the well-being of different groups (e.g. the homeless, immigrants, refugees and asylum-seekers, children in poor families, the elderly) and whether they, a family member or a friend had experienced challenging life circumstances (e.g. homelessness, substance abuse, over-indebtedness, disability). Trust in other people was charted. Finally, the respondents were presented statements about whether the differences in income, health, neighbourhoods and education were too high in Finland. Two statements about social security benefits were also presented, and the respondents were asked how well they had achieved the things they had wanted to achieve. Background variables included the respondent's gender, year of birth, household composition, housing tenure, education, economic activity and choice of political party.

This dataset, released June 2017, contains statistics relating to the income support recipients of Age pensioners, June 2016; Disability support pensioners, June 2016; Female sole parent pensioners, June 2016; People receiving an unemployment benefit, June 2016; People receiving an unemployment benefit long-term, June 2016; Young people aged 16 to 24 receiving an unemployment benefit, June 2016; Low income, welfare-dependent families (with children), June 2016; Children in low income, welfare-dependent families, June 2016; Health Care Card holders, June 2016; Pensioner Concession Card holders, June 2016; Seniors Health Card holders, June 2016. The data is by Primary Health Network (PHN) 2017 geographic boundaries based on the 2016 Australian Statistical Geography Standard (ASGS). There are 31 PHNs set up by the Australian Government. Each network is controlled by a board of medical professionals and advised by a clinical council and community advisory committee. The boundaries of the PHNs closely align with the Local Hospital Networks where possible. For more information please see the data source notes on the data. Source: Compiled by PHIDU based on data from the Department of Social Services, June 2016; the ABS Estimated Resident Population, 30 June 2015; and the ABS Census 2011. 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.

The sociobarometer is a wide-ranging survey charting expert opinion on the welfare of Finnish citizens and the present state of welfare services in Finland. Collection rounds were planned to have been conducted less frequently after the 2015 sociobarometer, but the Social Insurance Institution of Finland (Kela) made the initiative that the barometer charts, for three subsequent years, the effect of the 2017 reform where responsibility for granting basic social assistance was transferred to Kela from municipal social welfare offices. Because of this, between the more extensive biennial sociobarometers, these special sociobarometer surveys are conducted, of which the 2016 sociobarometer is the first. The respondents were managers of municipal health and social service offices, select staff at Kela who were relevant for the survey in terms of social assistance, and social workers in social assistance and adult social work. The study was funded by the Social Insurance Institution of Finland (Kela) and Finland's Slot Machine Association (RAY). The first questions surveyed the transfer of the responsibility for granting basic social assistance from municipal social welfare offices to Kela. The respondents were asked whether they thought it was the right call to transfer the responsibility to Kela for granting and paying basic social assistance. They were asked to evaluate the likeliness of a variety of effects caused by the transfer (e.g. whether the transfer would increase/decrease administrative costs, lower the threshold of applying for social assistance, speed up getting a decision for social assistance, or reduce bureaucracy). The respondents were also asked to what extent they agreed on a set of statements regarding the implementation of the transfer (e.g. whether the respondent's own organisation had informed people sufficiently about changes, whether preparations had been sufficient, and whether employees knew how their work would change). Opinions on the efficiency of cooperation between Kela and the social services were also charted, as well as opinions on the current level of basic social security in Finland and possible development needs. The study also surveyed the respondents' opinions about a system that would guarantee universal basic income for all persons permanently residing in Finland, and they were asked to evaluate suggestions for a model of universal basic income. Managers of municipal health and social service offices and social workers were also asked about housing costs, homelessness and whether there was a sufficient number of moderately priced rental apartments available in the area. Finally, the survey covered the health and social services reform ('Sote reform') with questions that were only presented to managers of municipal health and social service offices. They were asked to evaluate the reform in general as well as how well the implementation of the reform had succeeded and what factors had affected the success of the implementation. The survey also examined the managers' views on how costs of the reform could be kept down in the long run, and what effects the so-called freedom of choice for customers would have on e.g. the availability and quality of services. Depending on the respondent group, background variables included educational background, job title, qualification, major region (NUTS2), number of inhabitants in the municipality, statistical grouping of municipalities.

Incidence of income support interventions (calculated as the number of assisted persons per 1000 residents of the same social category) per district and social welfare district, for the year 2016.

This table provides insight into the number of people with a social security benefit per municipality, district and neighborhood (classification 2016). It concerns people with a benefit for disability, unemployment, old age and social assistance. It is possible for a person to claim more than one benefit. These may be benefits of the same type (for example, two benefits under the Disability Insurance Act (WAO)) or two benefits of different types (such as a benefit under the Unemployment Insurance Act and a social assistance benefit). In the latter case, the person is included in both types of benefits, in the first case only once (in the WAO). In the category of people on benefits (total), the person is of course only counted once. The figures on the number of people receiving benefits per neighbourhood, district or municipality may deviate slightly from figures published elsewhere on StatLine, because use is made of the most recent data from the municipal population registers. Because different StatLine tables are updated at different times, it is possible that a different version of the population registers is used for one table than for another table. In that case, the most recently published figures are the most accurate. Data available from: March 2016 Status of the figures: The figures for 2016 are final. Changes as of: August 16, 2021 The explanatory notes and definitions incorrectly stated that the figures also related to persons receiving social assistance benefits. This text has expired. When will new numbers come out? Not applicable anymore.

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.

Ecuador EC: Adequacy: Social Safety Net Programs: % of Total Welfare of Beneficiary Households data was reported at 12.567 % in 2016. This records an increase from the previous number of 10.417 % for 2012. Ecuador EC: Adequacy: Social Safety Net Programs: % of Total Welfare of Beneficiary Households data is updated yearly, averaging 11.425 % from Dec 2008 (Median) to 2016, with 5 observations. The data reached an all-time high of 12.567 % in 2016 and a record low of 10.417 % in 2012. Ecuador EC: 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 Ecuador – Table EC.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;

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.

This feature layer represents SDG 1.3.1 ‘Proportion of the Population Receiving Social Welfare Payments by Scheme' for Ireland. Attributes include a breakdown by scheme i.e. Job-seeker's Allowance, One-Parent Family Payment, Family Income Supplement, Respite Care Grant and State Pensions and a breakdown by year (2007, 2010, 2013 and 2016 with 2019 data also available for Contributory State Pension). Social Welfare Payments data produced by the Department of Employment Affairs and Social Protection and County boundary data produced by Tailte Éireann were used to create this feature layer. In 2015 UN countries adopted a set of 17 goals to end poverty, protect the planet and ensure prosperity for all as part of a new sustainable development agenda. Each goal has specific targets to help achieve the goals set out in the agenda by 2030. Governments are committed to establishing national frameworks for the achievement of the 17 Goals and to review progress using accessible quality data. With these goals in mind the CSO and Tailte Éireann are working together to link geography and statistics to produce indicators that help communicate and monitor Ireland’s performance in relation to achieving the 17 sustainable development goals.The indicator displayed supports the efforts to achieve goal number 1 which aims to end poverty in all its forms everywhere.

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 in this table for 2011 to 2016 are final. The figures for 2017 are preliminary.

Changes as of 19 December 2018: Figures for 2016 are finalized. Preliminary figures for 2017 are added.

Changes as of 7 February 2018: Figures for 2011 to 2015 are finalized. Figures for 2016 are added.

When will new figures be published? New figures, final figures for 2017 and preliminary figures for 2018, will be published in the fall of 2019.

This dataset contains the percentage of population using Cellular Phones by province, 2015-2016. This data, derived from the National Socio-Economic Survey (SUSENAS March) that published through the People’s Welfare Statistic report by BPS. The data is available at province level (Admin 1) and downloadable in MS. Excel (XLS) format: https://www.bps.go.id/dynamictable/2018/05/21/1348/proporsi-individu-yang-menggunakan-telepon-genggam-2015---2016.html

The data consist of three surveys aimed at the long-term unemployed. The surveys charted the unemployed persons' social participation, mental and physical well-being, work motivation, and use of social and health services. Main themes in the surveys included, among others, living conditions, quality of life, social relationships, use of social and health services, and lifestyle. The baseline survey was conducted at the beginning of the research and the two follow-up surveys three and six months after the baseline survey. The data were collected as part of the Inclusive Promotion of Health and Wellbeing (PROMEQ 2016-2019) research project, which studied population groups that need special support. The aim of the PROMEQ project was to develop and demonstrate novel models of promotion of health and wellbeing. Survey data from the other target groups of the project as well as combined data from all surveys are also available at FSD (FSD3433-FSD3436). The surveys included many scales and questions used in other studies. Questions were selected, for instance, from the Finnish Youth Surveys, as well as the Regional Health and Well-being Study (ATH) and Welfare and Services in Finland (HYPA) surveys conducted by the Finnish Institute for Health and Welfare (THL). Most questions included in the baseline survey were repeated in the follow-up surveys. First, the surveys charted the respondents' living conditions, income, loans and need for financial aid or food assistance. The respondents' health, well-being and quality of life was examined with questions on, for example, how satisfied the respondents were with their health, how much they had enjoyed life in the past two weeks, how safe and secure they felt in their everyday life, and whether they had enough energy and drive for their daily life. Satisfaction with different spheres of life was also surveyed with questions regarding, for example, quality of sleep, capacity to work, relationships, and support received from friends. Social relationships and trust were examined next. The respondents were asked whether they often felt lonely and whether they had ever been discriminated based on factors such as age, gender, ethnicity, or financial situation. Questions also focused on the respondents' sociability and feelings of belonging (e.g. whether they felt they were a part of a friend group, had much in common with people around them, and could find company when they wanted to, or whether they felt left out and isolated). The respondents' participation in group activities was charted, and trust in other people and various institutions, such as public health care, the judicial system, and municipal decision-making, was examined. The respondents' opinions on their own opportunities in life were also surveyed (e.g. whether they thought they had good or bad opportunities to strive for happiness in their life and to act according to their conscience). Next, the respondents were asked about work, unemployment and their plans for the future. Work motivation was examined with questions on, for example, how many times the respondents had applied for a job in the last six months and how willing they were at present to work full-time or part-time or set up their own company. Views on employment were investigated with questions on, for example, whether the respondents found it important to be employed and whether they thought they needed more training to become employed again. The respondents were also asked to evaluate their own capacity to work and study. Future plans were surveyed with questions focusing on the respondents' dreams, hopes and goals for their future. Finally, the respondents' use of social and health services was surveyed. The respondents were asked whether they had visited a doctor or other health or social services professional or received services that promote employment in the past 12 months (6 months in the follow-up survey). Additionally, the respondents were asked whether they had bought medication or been in contact with an employment services employee or other social or health care employee in the past 12 months. Questions also focused on basic social assistance, the respondents' satisfaction with the availability of various social and public services (e.g. library, indoor exercise and youth services), and their participation in group activities promoting health and well-being (e.g. weight management groups, AA, NA). The respondents' lifestyle was also examined with questions on their exercise, eating and drinking habits. Background variables included, among others, the respondent's gender, year of birth, marital status, household composition, housing tenure, highest level of education, economic activity and occupational status, and household income. Additionally, the background information collected included whether the respondent belonged to the control or test group as well as their matched pair number.

Ecuador EC: Adequacy: Social Insurance Programs: % of Total Welfare of Beneficiary Households data was reported at 41.768 % in 2016. This records an increase from the previous number of 39.959 % for 2012. Ecuador EC: Adequacy: Social Insurance Programs: % of Total Welfare of Beneficiary Households data is updated yearly, averaging 39.959 % from Dec 2008 (Median) to 2016, with 5 observations. The data reached an all-time high of 41.768 % in 2016 and a record low of 34.198 % in 2008. Ecuador EC: Adequacy: Social Insurance 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 Ecuador – Table EC.World Bank.WDI: Social Protection. Adequacy of social insurance programs is measured by the total transfer amount received by the population participating in social insurance programs as a share of their total welfare. Welfare is defined as the total income or total expenditure of beneficiary households. Social insurance programs include old age contributory pensions (including survivors and disability) and social security and health insurance benefits (including occupational injury benefits, paid sick leave, maternity and other social insurance). 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;

This table contains figures on the benefit position of young people aged 15 to 27 who were resident in the Netherlands on 31 December of the reference year by gender, age, migration background and living situation. The benefit position of young people is divided into whether or not they receive benefits. The types of benefit are also included in relation to unemployment, disability and social assistance and social assistance-related benefits. The total number of young people on benefits in this table is lower than in regular StatLine tables on people on benefits because young people who do not live in the Netherlands or whose place of residence is unknown are not included in this table. The number of young people receiving benefits in this table is also lower than in the table Labor market situation for young people (15 to 27 years); region 2018. This is mainly because an exact reference date has been chosen in this table (31 December) while in the table Labor market situation young people (15 to 27 years); In the 2018 region, it was checked whether someone received a benefit somewhere in the month of October. See paragraph 3 for the above tables. A young person can claim several benefits. These can be benefits of the same type, for example two benefits in the context of disability, or benefits of different types, such as one benefit in the context of unemployment and social assistance. In the latter case, the young person is included in both types of benefits. In the first case, only once for disability benefits. In the total counts, the person is counted once. As a result, the sum of the categories is not equal to the total number of young people on benefits. Data available from: 2007 Status of the figures: These are definitive figures. Changes as of July 29, 2022: The figures for 2021 have been added. Changes as of December 8, 2021: The figures for 2020 have been added. To mitigate the consequences of the corona crisis, the Temporary bridging scheme for self-employed entrepreneurs (Tozo) has been in force since 1 March 2020. The Temporary Bridging Scheme for Self-Employed Entrepreneurs (Tozo) provides independent entrepreneurs with an additional payment for living expenses or a loan for working capital to deal with liquidity problems as a result of the corona crisis. Self-employed entrepreneurs can receive an amount from this scheme to supplement their income up to the social minimum. The first part of the Tozo expired at the end of May 2020, but due to an extension, the scheme was still in force at the end of 2020. The Tozo is regarded as a social assistance-related benefit, which means that the number of people receiving a social assistance benefit increased sharply in 2020. Changes as of December 13, 2019: The figures for 2018 have been added. For 2016, an earlier version incorrectly included young people who had died on December 31 of the year. As a result, the figures on the total number of young people and young people without social security benefits have been corrected. For 2017, the figures for AO benefits for the months of January to March were based on estimates. These were corrected after delivery of the correct sender files. Furthermore, the underlying codes of the classifications used in this table have been adjusted. These are now in line with the standard coding established by Statistics Netherlands. The structure of the table has not been changed. Changes as of October 30, 2018: For 2017, the figures of young people aged 15 to 27 for the benefit positions 'Unemployment', 'Social assistance and social assistance related', 'Incapacity for work; incl. Wajong', 'Wajong' and 'No benefit' corrected. The numbers were interchanged. The same applies to the figures of young people aged 15 to 27 (relatively). Changes as of 7 May 2018: Due to an improvement in the method, the figures of young people receiving disability benefits have been recalculated for the years 2013 to 2015. In addition, from 2015, the figures of the new Wajong 2015 scheme have been included. The revision has no consequences for the other figures of young people on benefits, but it does affect the total number of young people on benefits. Figures for 2016 have also been added. When will new numbers come out? The figures for 2022 will be published in the spring of 2023.

Food banks – charitable projects providing free parcels of food for people in need to take away, prepare and eat - have existed in high-income countries for decades, but their spread in the UK is generally linked to the establishment and growth of The Trussell Trust’s member-based food bank network. Since 2011, The Trussell Trust has been publishing data on the volume of food bank use across their network, made available from their standardised data collection system. These data have almost exclusively been the source of information on food bank use for the UK and, in the absence of national food insecurity monitoring before 2016, have typically been used as a barometer for food insecurity. The Trussell Trust’s model for food banks is also well-established, involving establishing relationships with third-party local social and health service agencies who provide referrals; requiring that people in need of assistance have a referral for use; collecting data through the referral system; and guiding their member food banks to follow-up with referral agencies if they provide more than three referrals to a single client in a 6-month period.

There is, however, increasing recognition of a much larger landscape of food parcel distribution through independent food banks not affiliated with The Trussell Trust. Research conducted by various researchers over 2014 to 2016 in England, Wales and Scotland found that in some places where no Trussell Trust food banks existed, there were well-established independent food banks operating. In other places, both Trussell Trust and independent food banks were operating. In 2017, Sabine Goodwin on behalf of the Independent Food Aid Network, identified over 500 food parcel distribution projects or food banks (for ease, referred to as food banks going forward) operating outside of The Trussell Trust’s food bank network.

Although it has been evident that there are a large number of independent organisations and charities distributing food parcels, little has been known about when or why they were established, how they operate, and whom they serve. This lack of insight stands in contrast with research produced about, and from, The Trussell Trust, which includes numerous studies on the characteristics of people using their food banks and ways of operating, and qualitative studies of the user experience.

To begin to fill these gaps, this survey of independent food banks was undertaken to build understanding of independent food parcel distribution projects operating outside of The Trussell Trust in England over 2018 to 2019.

The aim of this research was to understand the role independent food banks have in responding to hunger and food poverty in the UK.

The specific topics explored in this survey were: • Independent food banks' aims, services offered, and other activities engaged in both locally and nationally related to food poverty; • The operational characteristics of independent food banks including when they opened, how they are staffed, opening times, how data is collected, and how food parcels are made up. The potential factors that influence these, including funding, space availability, and influence of other organisations, were also explored. • Groups independent food banks serve and how people access their services; and • How independent food banks experience and respond to changes in demand, and opinions about how food bank usage could be reduced.

Nearly unheard of before 2010, in 2014/15 the UK's largest network of food banks, the Trussell Trust, distributed over one million food parcels, over sixteen-times the number distributed in 2010/11.

In light of rising food bank use, the issue of hunger is at the forefront of domestic political debate in the UK. Have welfare reforms caused rising hunger or are people just taking advantage of newly available free food? Are people really struggling to afford enough food or is this a problem of lack of food skills? These debates have revealed the limited evidence on the scope and causes of insecure access to food in the UK, impeding development of appropriate policy and practice responses.

This project was part of a wider study that explored food insecurity in the UK. The aims of this aspect of the project were to gather data on food banks operating independently of the Trussell Trust to understand when they started operating, their reasons for doing so, dynamics of their operations in relation to need, and the constraints on their services that might influence the numbers of people who receive food from them. Gathering this information provided critical information for understanding trends of rising food bank use since 2010.

Dominican Republic DO: Survey Mean Consumption or Income per Capita: Bottom 40% of Population: 2011 PPP per day data was reported at 5.240 Intl $/Day in 2016. This records an increase from the previous number of 4.220 Intl $/Day for 2011. Dominican Republic DO: Survey Mean Consumption or Income per Capita: Bottom 40% of Population: 2011 PPP per day data is updated yearly, averaging 4.730 Intl $/Day from Dec 2011 (Median) to 2016, with 2 observations. The data reached an all-time high of 5.240 Intl $/Day in 2016 and a record low of 4.220 Intl $/Day in 2011. Dominican Republic DO: Survey Mean Consumption or Income per Capita: Bottom 40% of Population: 2011 PPP per day data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Dominican Republic – Table DO.World Bank: Poverty. Mean consumption or income per capita (2011 PPP $ per day) used in calculating the growth rate in the welfare aggregate of the bottom 40% of the population in the income distribution in a country.; ; 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 choice of consumption or income for a country is made according to which welfare aggregate is used to estimate extreme poverty in PovcalNet. The practice adopted by the World Bank for estimating global and regional poverty is, in principle, to use per capita consumption expenditure as the welfare measure wherever available; and to use income as the welfare measure for countries for which consumption is unavailable. However, in some cases data on consumption may be available but are outdated or not shared with the World Bank for recent survey years. In these cases, if data on income are available, income is used. Whether data are for consumption or income per capita is noted in the footnotes. Because household surveys are infrequent in most countries and are not aligned across countries, comparisons across countries or over time should be made with a high degree of caution.

Compilation of various indicators for serving the elderly living alone in the 113th year (new regulations for the 113th year)

Abstract The study explores the distribution of AIDS through sociodemographic variables, within the scope of Brazilian social security and social assistance. Twenty-seven federal units were used for data spatialization and analysis. Data were stratified according to gender, age group, area of residence, social welfare membership, type of benefit received and grant method for the beneficiaries. Benefits were classified as social security (71,939, 72.4%), social assistance (26,302, 26.5%) and accident benefits (1,128, 1.1%), a large proportion of which were granted to males (64,654, 65.1%). The unemployed (50,404, 50.7%), who lived in urban areas (96,767, 97.4%), were aged between 20 and 39 years (49,508, 49.8%) and who received benefits based on article 27 of Decree Nº 3048/99 (51,985, 52.3%) were the most incident. The results show that more than half of the benefits granted were for unemployed individuals or those without job stability and, thus, did not contribute to social security for continuous periods. This fact reaffirms the segregation in the labor market to which these individuals are subjected. Also, it is noted that AIDS persists at high levels at the most productive stage of life.