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.

Work and situation in life of the American population. Topics: Current employment; time worked each week; hourly wage; frequency of unemployment; attitude to women working, government responsibility for older people and amount of unemployment benefit; possibility of individual planning for the future; expectations of educational opportunities of the children; occupational mobility; achievement motivation; education difference between the spouses; family size; attitudes to the extended family; regional mobility; savings account; assessment of condition of health; party preference. Demography: party preference; age (classified); race; marital status; religious denomination; religiousness; school education; occupation; professional position; employment; head of household; economic area; housing situation; party inclination; party identification; city size; membership. Arbeits- und Lebenssituation der amerikanischen Bevölkerung. Themen: Derzeitige Beschäftigung; wöchentliche Arbeitszeit; Stundenlohn; Häufigkeit von Arbeitslosigkeit; Einstellung zur Frauenarbeit, zur staatlichen Verantwortung für ältere Menschen und zur Höhe der Arbeitslosenunterstützung; Möglichkeit der individuellen Zukunftsplanung; Erwartungen an die Ausbildungschancen der Kinder; Berufsmobilität; Leistungsmotivation; Bildungsdifferenz zwischen den Ehepartnern; Familiengröße; Einstellungen zur Großfamilie; regionale Mobilität; Sparguthaben; Einschätzung des Gesundheitszustands. Demographie: Parteipräferenz; Alter (klassiert); Rasse; Familienstand; Konfession; Religiosität; Schulbildung; Beruf; berufliche Position; Berufstätigkeit; Haushaltungsvorstand; Wirtschaftsraum; Wohnsituation; Parteineigung; Parteiidentifikation; Ortsgröße; Mitgliedschaft. Multi-stage random sample with over-proportional sample Mehrstufige Zufallsauswahl mit überproportionaler Auswahl von Bevölkerungsschichten mit geringem Einkommen Oral survey with standardized questionnaire

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, income, services, GDP, and USA.

The Food Assistance Program provides Electronic Benefit Transfer (EBT) cards that can be used to buy groceries at supermarkets, grocery stores and some Farmers Markets. This dataset provides data on the number of households, recipients and cash assistance provided through the Food Assistance Program participation in Iowa by month and county starting in January 2011 and updated monthly.

Beginning January 2017, the method used to identify households is based on the following: 1. If one or more individuals receiving Food Assistance also receives FIP, the household is categorized as FA/FIP. 2. If no one receives FIP, but at least one individual also receives Medical Assistance, the household is categorized as FA/Medical Assistance. 3. If no one receives FIP or Medical Assistance, but at least one individual receives Healthy and Well Kids in Iowa or hawk-i benefits, the household is categorized as FA/hawk-i. 4. If no one receives FIP, Medical Assistance or hawk-i , the household is categorized as FA Only.

Changes have also been made to reflect more accurate identification of individuals. The same categories from above are used in identifying an individual's circumstances. Previously, the household category was assigned to all individuals of the Food Assistance household, regardless of individual status. This change in how individuals are categorized provides a more accurate count of individual categories.

Timing of when the report is run also changed starting January 2017. Reports were previously ran on the 1st, but changed to the 17th to better capture Food Assistance households that received benefits for the prior month. This may give the impression that caseloads have increased when in reality, under the previous approach, cases were missed.

Social welfare statistics_ Presentation of the application data for the organization of the people's groups is presented in [Social Bureau net People's group service statistical data] group category, number of groups

In this paper we explore the relationship between Americans’ attitudes toward immigrants and immigration and their attitudes toward welfare. Using data from the Cumulative American National Election Study (CANES) from 1992-2012, we find ample evidence of the influence of immigration attitudes on both individuals’ attitudes toward welfare recipients and their attitudes toward increased welfare spending. These immigration effects persist even in face of statistical controls for attitudes toward African Americans and attitudes toward the poor; indeed, in our models the magnitude of the effects of immigration attitudes surpasses the magnitude of effects of attitudes toward blacks. Further, our findings of immigration effects withstand a range of robustness tests. Our results point to the possible "immigrationalization" of Americans’ welfare attitudes and provide strong evidence that how Americans think about immigration and immigrants is a major factor in how they think about welfare.

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

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 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.

This data collection is part of the 1985 Continuing Survey of Food Intakes by Individuals (CSFII) and provides information on 1-day dietary intakes of men 19 to 50 years of age living in the United States in 1985. Two separate population groups of men were surveyed: (1) a sample of men of all incomes drawn from all private households, and (2) a smaller sample of men drawn from households with reported incomes at or below 130 percent of the poverty guidelines. Part 1, Respondent Demographics and Nutrient Intake File, contains demographic information on each respondent in the household selected to be interviewed, as well as the respondent's use of special diets, vitamin and mineral supplements, and a summary of the nutrient content of the foods eaten by that individual. Part 2, Household File, contains information on basic characteristics of the respondent's household, including participation in food welfare programs. Part 3, Detailed Food Intake File, includes information on the type and amount of each food item eaten at home or away, the time of day the food was eaten, and the use of salt and fat in the food preparation. A Food Instruction Booklet, included with the data collection instrument, was used to help respondents describe foods and amounts eaten. Demographic information on respondents include age, race, education level, employment status, occupation, height, weight, and health status. Household characteristics include the age, education level, occupation, and employment status of the male head of the household, the sex and age of household members, household income, tenancy status of the residence, and type of residential area (e.g., urban or rural).

Graph and download economic data for SNAP Benefits Recipients in Cook County, IL (CBR17031ILA647NCEN) from 1989 to 2022 about Cook County, IL; SNAP; nutrition; food stamps; Chicago; benefits; IL; food; and USA.

In 2023, **** percent of Black people living in the United States were living below the poverty line, compared to *** percent of white people. That year, the total poverty rate in the U.S. across all races and ethnicities was **** percent. Poverty in the United States Single people in the United States making less than ****** U.S. dollars a year and families of four making less than ****** U.S. dollars a year are considered to be below the poverty line. Women and children are more likely to suffer from poverty, due to women staying home more often than men to take care of children, and women suffering from the gender wage gap. Not only are women and children more likely to be affected, racial minorities are as well due to the discrimination they face. Poverty data Despite being one of the wealthiest nations in the world, the United States had the third highest poverty rate out of all OECD countries in 2019. However, the United States' poverty rate has been fluctuating since 1990, but has been decreasing since 2014. The average median household income in the U.S. has remained somewhat consistent since 1990, but has recently increased since 2014 until a slight decrease in 2020, potentially due to the pandemic. The state that had the highest number of people living below the poverty line in 2020 was California.

Occupation describes the kind of work a person does on the job. Occupation data were derived from answers to questions 45 and 46 in the 2015 American Community Survey (ACS). Question 45 asks: “What kind of work was this person doing?” Question 46 asks: “What were this person’s most important activities or duties?”

These questions were asked of all people 15 years old and over who had worked in the past 5 years. For employed people, the data refer to the person’s job during the previous week. For those who worked two or more jobs, the data refer to the job where the person worked the greatest number of hours. For unemployed people and people who are not currently employed but report having a job within the last five years, the data refer to their last job.

These questions describe the work activity and occupational experience of the American labor force. Data are used to formulate policy and programs for employment, career development, and training; to provide information on the occupational skills of the labor force in a given area to analyze career trends; and to measure compliance with antidiscrimination policies. Companies use these data to decide where to locate new plants, stores, or offices.

Graph and download economic data for SNAP Benefits Recipients in Massachusetts (BR25000MAA647NCEN) from 1989 to 2022 about MA, SNAP, nutrition, food stamps, benefits, food, and USA.

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.

Poverty and low-income statistics by visible minority group, Indigenous group and immigration status, Canada and provinces.

China Social Assistance: Number of Urban and Rural Poverty-stricken People data was reported at 4,788.000 Unit th in Mar 2025. This records a decrease from the previous number of 4,797.000 Unit th for Dec 2024. China Social Assistance: Number of Urban and Rural Poverty-stricken People data is updated quarterly, averaging 4,673.000 Unit th from Sep 2017 (Median) to Mar 2025, with 31 observations. The data reached an all-time high of 4,797.000 Unit th in Dec 2024 and a record low of 4,374.000 Unit th in Mar 2020. China Social Assistance: Number of Urban and Rural Poverty-stricken People data remains active status in CEIC and is reported by Ministry of Civil Affairs. The data is categorized under China Premium Database’s Socio-Demographic – Table CN.GH: Civil Affairs Statistics.

This data collection is part of a longitudinal survey designed to provide detailed information on the economic situation of households and persons in the United States. These data examine the distribution of income, wealth, and poverty in American society and gauge the effects of federal and state programs on the well-being of families and individuals. There are three basic elements contained in the survey. The first is a control card that records basic social and demographic characteristics for each person in a household, as well as changes in such characteristics over the course of the interviewing period. The second element is the core portion of the questionnaire, with questions repeated at each interview on labor force activity, types and amounts of income, participation in various cash and noncash benefit programs, attendance in post-secondary schools, private health insurance coverage, public or subsidized rental housing, low-income energy assistance, and school breakfast and lunch participation. The third element consists of topical modules, which are a series of supplemental questions asked during selected household visits. Topical modules include some core data to help link individuals to the core files. A topical module was not created for Wave I. The Wave II Topical Module (Part 17) covers recipiency, employment, work disability, education and training, marital status, migration, and fertility histories along with household relationships. The Wave III Topical Module (Part 19) includes data on work schedules, child care, child support agreements, support for nonhousehold members, functional limitations and disability, and utilization of health care services. Data from the Wave IV Topical Module (Part 21) include assets and liabilities, retirement expectations and pension plan coverage, and real estate property and vehicles. The Wave V Topical Module (Part 23) provides data on educational financing and enrollment. The Wave VI Topical Module (Part 25) covers time spent outside the work force, child care, child support agreements, support for nonhousehold members, functional limitations and disability, and utilization of health care services. Data in the Wave VII Topical Module (Part 27) cover selected financial assets, medical expenses and work disability, and real estate, shelter costs, dependent care, and vehicles. Wave VIII Topical Module (Part 29) includes data on annual income and retirement accounts, taxes, and school enrollment and financing. Part 33 of this study is the Wave V Topical Module Research File, an unedited version of Part 23. This research file has not been edited nor imputed but has been topcoded or bottomcoded and recoded if necessary by the Census Bureau to avoid disclosure of individual respondents' identities.

In 2023 the poverty rate in the United States was highest among people between 18 and 24, with a rate of 16 percent for male Americans and a rate of 21 percent for female Americans. The lowest poverty rate for both men and women was for those aged between 45 and 54. What is the poverty line? The poverty line is a metric used by the U.S. Census Bureau to define poverty in the United States. It is a specific income level that is considered to be the bare minimum a person or family needs to meet their basic needs. If a family’s annual pre-tax income is below this income level, then they are considered impoverished. The poverty guideline for a family of four in 2021 was 26,500 U.S. dollars. Living below the poverty line According to the most recent data, almost one-fifth of African Americans in the United States live below the poverty line; the most out of any ethnic group. Additionally, over 7.42 million families in the U.S. live in poverty – a figure that has held mostly steady since 1990, outside the 2008 financial crisis which threw 9.52 million families into poverty by 2012. The poverty gender gap Wage inequality has been an ongoing discussion in U.S. discourse for many years now. The poverty gap for women is most pronounced during their child-bearing years, shrinks, and then grows again in old age. While progress has been made on the gender pay gap over the last 30 years, there are still significant disparities, even in occupations that predominantly employ men. Additionally, women are often having to spend more time attending to child and household duties than men.

Abstract

The recent global economic slowdown, caused by the COVID-19 pandemic, created an urgent need for timely data to monitor the socioeconomic impacts of the pandemic. Tanzania is among other countries in the world which are affected by the recent global economic slowdown, caused by the COVID-19 pandemic. Therefore, there is an urgent need for timely data to monitor and mitigate the socio-economic impacts of the crisis in the country. Responding to this need, the National Bureau of Statistics (NBS) and the Office of the Chief Government Statistician (OCGS), Zanzibar in collaboration with the World Bank and Research on Poverty Alleviation (REPOA) implemented a rapid household telephone survey called the Tanzania High-Frequency Welfare Monitoring Survey (HFWMS).

Thus, the main objective of the survey is to obtain timely data that is critical for evidence-based decision making aimed at mitigating the socio-economic impact of the downturn caused by COVID-19 pandemic by filling critical gaps of information that can be used by the government and stakeholders to help design policies to mitigate the negative impacts on its population.

Geographic coverage

National

Analysis unit

Households Individuals

Universe

The survey covered all de jure households excluding prisons, hospitals, military barracks, and school dormitories.

Kind of data

Sample survey data [ssd]

Sampling procedure

The primary sample for this activity was drawn from the 2014/15 NPS and 2017/18 HBS. Target sample completion each month is estimated at 3000 households. The 2014/15 NPS acted as the primary sample frame, complimented by the 2017/18 HBS.

The sample for the HFWMPS was drawn from the 2014/15 NPS and 2017/18 HBS. Both surveys were conducted over a 12-month period and are nationally representative. During the implementation of the surveys, phone numbers are collected from interviewed households and reference persons who are in close contact with the household in order to assist in locating and interviewing households who may have moved in subsequent waves of the survey. This comprehensive set of phone numbers as well as the already well-established relationship between NBS and these households made this an ideal frame from which to conduct the HFWMS in Tanzania.

To obtain a nationally representative sample for the Tanzania HFWMS, a sample size of approximately 3,000 successfully interviewed households was targeted. However, to reach that target, a larger pool of households needed to be selected from the frame due to non-contact and non-response common for telephone surveys. Thus, about 5,750 households were selected to be contacted.

All 5,750 households were contacted in the baseline round of the phone survey. [Error! Reference source not found. ] presents the interview result for the baseline sample. 49.2 percent of sampled households were successfully contacted. Of those contacted, 96 percent or 2,708 households were fully interviewed. These 2,708 households constitute the final successful sample and will be contacted in subsequent rounds of the survey.

Mode of data collection

Computer Assisted Personal Interview [capi]

Research instrument

Each survey round consists of one questionnaire - a Household Questionnaire administered to all households in the sample.

Baseline The questionnaire gathers information on demographics; employment; education; access to basic services; food security; TASAF; and mental health. The contents of questionnaire are outlined below:

• Cover: Household identifiers and enumerator identifiers.
• Interview Information: Details of call attempts, result and respondent of call attempt, interview consent, date and time of call back, phone numbers called, the information of the person that the listed phone number belongs to.
• Basic Information: Roster of members of the household, relationship to the household head, gender, age, relationship to head, reason for joining the household if new, and reason for leaving the household if left.
• Employment: Status and information of income-generating activities (wage work, family business and farming), reason for stopped working, reason for not able to perform activities as usual, and reason for reduced revenue from family business.
• Education: School attendance, type of school attended, learning activities of children at home, return to school, contact with children’s teachers during school closure.
• Access to Basic Services:Household’s access to staple food (maize grain, cassava, rice, and maize flour), medical treatment, and reasons for not being able to access the services.
• Food Security: Household’s food security status during the last 30 days.
• TASAF: Households access to the TASAF money, use of the money received, challenges encountered in accessing the funds.
• Mental Health: Information on 8 items pertaining to measuring mental health.
• Recontact: Data on how the household can be recontacted in the future.
• Interview Results: Result of interview including observation notes by enumerator regarding the interview, respondent and language of interview.

Round 2 The questionnaire gathers information on demographics; employment; non-farm enterprise; tourism; education; access to health services; and TASAF. The contents of questionnaire are outlined below:

• Cover: Household identifiers and enumerator identifiers.
• Interview Information: Details of call attempts, result and respondent of call attempt, interview consent, date and time of call back, phone numbers called, the information of the person that the listed phone number belongs to.
• Basic Information: Roster of members of the household, relationship to the household head, gender, age, relationship to head, reason for joining the household if new, and reason for leaving the household if left.
• Employment: Status and information of income-generating activities (wage work, family business and farming), reason for stopped working, and reason for not able to perform activities as usual.
• Non-farm Enterprise: Status and information of non-farm income-generating activities, reason for stopped operating, reason for not able to perform activities as usual, and reason for reduced revenue from family business.
• Tourism: Employment of household members in tourism sector, and who benefits from tourism.
• Education (selected members aged 4-18 years): School attendance, reason for not attending, grade attending, type of school, absence and reason for being absent.
• Access to Health Services: Women’s access to pre-natal/post-natal care, household’s access to preventative care and medical treatment, and reasons for not being able to access the services.
• TASAF: Households access to the TASAF money, use of the money received, challenges encountered in accessing the funds.
• Recontact: Data on how the household can be recontacted in the future.
• Interview Results: Result of interview including observation notes by enumerator regarding the interview, respondent and language of interview

Round 3 The questionnaire gathers information on demographics; employment (respondent and other household members); non-farm enterprise; credit; women savings; and shocks and coping. The contents of questionnaire are outlined below:

• Cover: Household identifiers and enumerator identifiers.
• Interview Information: Details of call attempts, result and respondent of call attempt, interview consent, date and time of call back, phone numbers called, the information of the person that the listed phone number belongs to.
• Basic Information: Roster of members of the household, relationship to the household head, gender, age, relationship to head, reason for joining the household if new, and reason for leaving the household if left.
• Employment (respondent): Status and information of income-generating activities (wage work, family business and farming), reason for stopped working, and reason for not able to perform activities as usual.
• Employment (other members): Status in employment (current and 2020), consistency of work in 2020, why currently not working, job search, change in jobs, actual job.
• Non-farm Enterprise: Status and information of non-farm income-generating activities, reason for stopped operating, reason for not able to perform activities as usual, and reason for reduced revenue from family business.
• Credit: Household’s debts status since the beginning of the coronavirus crisis; use of loan, ability to repay loan when their scheduled payment is due.
• Women Savings: Women having bank accounts to financial institutions and changes in their savings since the start of the pandemic.
• Shocks and Coping: Shocks that affected household since the baseline interview and their coping strategies.
• Recontact: Data on how the household can be recontacted in the future.
• Interview Results: Result of interview including observation notes by enumerator regarding the interview, respondent and language of interview.

Round 4 The questionnaire gathers information on demographics; employment; non-farm enterprise; digital technology; and income changes. The contents of questionnaire are outlined below:

• Cover: Household identifiers and enumerator identifiers.
• Interview Information: Details of call attempts, result and respondent of call attempt, interview consent, date and time of call back, phone numbers called, the information of the person that the listed phone number belongs to.
• Basic Information: Roster of members of the household, relationship to the household head, gender, age, relationship to head, reason for joining the household if new, and reason for leaving the household if left.
• Employment (respondent): Status and information of