18 datasets found
  1. U.S. median household income 1990-2023

    • statista.com
    Updated Sep 16, 2024
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    Statista (2024). U.S. median household income 1990-2023 [Dataset]. https://www.statista.com/statistics/200838/median-household-income-in-the-united-states/
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    Dataset updated
    Sep 16, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    This statistic shows the median household income in the United States from 1990 to 2023 in 2023 U.S. dollars. The median household income was 80,610 U.S. dollars in 2023, an increase from the previous year. Household incomeThe median household income depicts the income of households, including the income of the householder and all other individuals aged 15 years or over living in the household. Income includes wages and salaries, unemployment insurance, disability payments, child support payments received, regular rental receipts, as well as any personal business, investment, or other kinds of income received routinely. The median household income in the United States varies from state to state. In 2020, the median household income was 86,725 U.S. dollars in Massachusetts, while the median household income in Mississippi was approximately 44,966 U.S. dollars at that time. Household income is also used to determine the poverty line in the United States. In 2021, about 11.6 percent of the U.S. population was living in poverty. The child poverty rate, which represents people under the age of 18 living in poverty, has been growing steadily over the first decade since the turn of the century, from 16.2 percent of the children living below the poverty line in year 2000 to 22 percent in 2010. In 2021, it had lowered to 15.3 percent. The state with the widest gap between the rich and the poor was New York, with a Gini coefficient score of 0.51 in 2019. The Gini coefficient is calculated by looking at average income rates. A score of zero would reflect perfect income equality and a score of one indicates a society where one person would have all the money and all other people have nothing.

  2. U.S. median family income 1990-2023

    • statista.com
    Updated Sep 17, 2024
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    Statista (2024). U.S. median family income 1990-2023 [Dataset]. https://www.statista.com/statistics/236765/median-annual-family-income-in-the-united-states-from-1990/
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    Dataset updated
    Sep 17, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    The median family income in the United States grew to 100,800 U.S. dollars in 2023, an increase on the previous year. Family income is the total income earned by all family members who have been living in the household for at least one year and are at least 14 years old.

  3. Living Wage

    • data.ca.gov
    • data.chhs.ca.gov
    • +1more
    pdf, xlsx, zip
    Updated Aug 29, 2024
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    California Department of Public Health (2024). Living Wage [Dataset]. https://data.ca.gov/dataset/living-wage
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    zip, xlsx, pdfAvailable download formats
    Dataset updated
    Aug 29, 2024
    Dataset authored and provided by
    California Department of Public Healthhttps://www.cdph.ca.gov/
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    This table contains data on the living wage and the percent of families with incomes below the living wage for California, its counties, regions and cities/towns. Living wage is the wage needed to cover basic family expenses (basic needs budget) plus all relevant taxes; it does not include publicly provided income or housing assistance. The percent of families below the living wage was calculated using data from the Living Wage Calculator and the U.S. Census Bureau, American Community Survey. The table is part of a series of indicators in the Healthy Communities Data and Indicators Project of the Office of Health Equity. The living wage is the wage or annual income that covers the cost of the bare necessities of life for a worker and his/her family. These necessities include housing, transportation, food, childcare, health care, and payment of taxes. Low income populations and non-white race/ethnic have disproportionately lower wages, poorer housing, and higher levels of food insecurity. More information about the data table and a data dictionary can be found in the About/Attachments section.

  4. Single-earner and dual-earner census families by number of children

    • www150.statcan.gc.ca
    • ouvert.canada.ca
    • +2more
    Updated Jul 18, 2025
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    Government of Canada, Statistics Canada (2025). Single-earner and dual-earner census families by number of children [Dataset]. http://doi.org/10.25318/1110002801-eng
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    Dataset updated
    Jul 18, 2025
    Dataset provided by
    Statistics Canadahttps://statcan.gc.ca/en
    Area covered
    Canada
    Description

    Families of tax filers; Single-earner and dual-earner census families by number of children (final T1 Family File; T1FF).

  5. s

    Household income

    • ethnicity-facts-figures.service.gov.uk
    csv
    Updated Sep 5, 2022
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    Race Disparity Unit (2022). Household income [Dataset]. https://www.ethnicity-facts-figures.service.gov.uk/work-pay-and-benefits/pay-and-income/household-income/latest
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    csv(261 KB)Available download formats
    Dataset updated
    Sep 5, 2022
    Dataset authored and provided by
    Race Disparity Unit
    License

    Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
    License information was derived automatically

    Area covered
    United Kingdom
    Description

    In the 3 years to March 2021, black households were most likely out of all ethnic groups to have a weekly income of under £600.

  6. s

    People in low income households

    • ethnicity-facts-figures.service.gov.uk
    csv
    Updated Jul 9, 2025
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    Race Disparity Unit (2025). People in low income households [Dataset]. https://www.ethnicity-facts-figures.service.gov.uk/work-pay-and-benefits/pay-and-income/people-in-low-income-households/latest
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    csv(413 KB)Available download formats
    Dataset updated
    Jul 9, 2025
    Dataset authored and provided by
    Race Disparity Unit
    License

    Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
    License information was derived automatically

    Area covered
    United Kingdom
    Description

    Between April 2008 and March 2024, households from the Pakistani and Bangladeshi ethnic groups were the most likely to live in low income out of all ethnic groups, before and after housing costs.

  7. Income needed to afford to buy a home in Canada 2023, by city

    • statista.com
    Updated Jul 9, 2025
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    Statista (2025). Income needed to afford to buy a home in Canada 2023, by city [Dataset]. https://www.statista.com/statistics/1287002/income-needed-to-buy-a-home-canada/
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    Dataset updated
    Jul 9, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Dec 2023
    Area covered
    Canada
    Description

    Prospective homebuyers in Vancouver, British Columbia, and Toronto, Ontario, needed an annual income of over ******* Canadian dollars in 2023 to qualify for the average priced home. In Vancouver, this figure was approximately ******* Canadian dollars. British Columbia and Ontario, are Canada's most expensive provinces for housing. According to a January 2023 forecast by the Canadian Real Estate Association (CREA), the housing market is expected to cool down in the next two years, which is likely to improve home affordability.

  8. c

    People with Low Income (July 2024)

    • datacatalogue.cessda.eu
    Updated Feb 28, 2025
    + more versions
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    Presse- und Informationsamt der Bundesregierung (2025). People with Low Income (July 2024) [Dataset]. http://doi.org/10.4232/1.14474
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    Dataset updated
    Feb 28, 2025
    Dataset provided by
    Berlin
    Authors
    Presse- und Informationsamt der Bundesregierung
    Time period covered
    Jul 4, 2024 - Jul 15, 2024
    Area covered
    Germany
    Measurement technique
    Self-administered questionnaire: Web-based (CAWI)
    Description

    The study on people with low incomes was conducted by Veian on behalf of the Press and Information Office of the Federal Government. In the survey period from 4 July 2024 to 15 July 2024, 1,019 German-speaking people aged 18 and over with a needs-weighted monthly net income of up to EUR 1,500 in Germany (low-income earners) were surveyed in online interviews (CAWI) on the following topics: Burden of inflation and future prospects, ideas of justice, insecurities, financial situation, awareness of reforms of social benefits, assessment of relief measures, use of social benefits and assessment of the new regulations on the Citizen´s Income. The respondents were selected using a quota sample from an online access panel.
    Concerns about inflation: extent of the impact of general price increases. Block A - Future prospects: Confidence vs. worries with regard to personal future in the following areas: financial situation, housing situation, health, old-age provision and career prospects; assessment of own children´s future prospects.

    Block B - Ideas of justice: Importance of different aspects of justice (intergenerational justice; performance justice, opportunity justice, family justice, distributive justice and needs justice); most important aspects of justice (order).

    Block C - (In)certainties: Agreement with statements on own lifeworld (changes in society frighten me, I feel left alone by the state, I have good friends who support me, I am flexible enough to be able to adapt to difficult situations, I can largely determine my own life, in financial emergencies I can rely on the financial support of my parents/siblings or other relatives, I perceive life as a constant struggle, I feel marginalized in society, within the scope of my possibilities I support my friends and family when necessary).

    Block D - Financial situation: Change in financial situation in recent years; perceived burden of current price increases in various areas (fuel, purchase of food, costs for craftsmen, heating, electricity, costs for public transport, restaurant visits, visits to events, leisure activities, clothing purchases, costs for hobbies, costs for vacations, travel, hotels, purchase of household items such as furniture, household appliances, rental costs); changes in everyday behavior due to higher prices (I drive less, I heat my home more conservatively, I set the temperature at home lower than usual, I pay more attention to the price when shopping, I only buy food and everyday products that I really need, I buy more expensive products in installments, I make sure I use less hot water, I do without certain leisure activities, I make sure I save electricity, I now use public transport more often, I have postponed larger purchases for the time being, I do without vacation trips, I have canceled memberships and subscriptions, I meet fewer people than before, as joint activities are often associated with additional costs); characterization of the household´s financial situation (my household can usually put some money aside at the end of the month, my household cannot put any money aside at the end of the month, but the money is enough to cover running costs, my household currently has to draw on savings to cover running costs, my household uses credit (consumer credit, instalment credit, overdraft/overdraft facility); use of state benefits by persons in my own household (parental allowance, child benefit, advance maintenance payments, reductions via a social or family pass, unemployment benefit, citizen´s allowance, housing benefit/ Housing Benefit Plus, certificate of eligibility for social housing, education grant/ BAföG); reasons for not claiming the above-mentioned state benefits (because I am not entitled to the benefit, because I do not know whether I am entitled or not, because I do not know who to contact, because I do not feel comfortable applying for such benefits, because I do not want to be dependent on the state).

    Block E - Expectations of politics and the welfare state: strength of state support for the household; need for further state support measures; information about state social benefits (I actively inform myself about state social benefits, i.e. I specifically look for information about them, I tend to get information about state social benefits by chance, e.g. via my normal media consumption, neither, both); level of information about state social benefits; awareness of various reforms of social benefits that have already been decided or are planned (introduction of the citizen´s income (abolition of Hartz IV), increase in unemployment benefit, introduction of a basic child benefit, increase in the minimum wage, guarantee of a minimum pension level, increase in child benefit, increase in care allowance for people in need of care, increase in housing benefit and expansion of the group of people entitled to it, increase in contributions to be paid into the pension insurance scheme); evaluation of these...

  9. High income tax filers in Canada, specific geographic area thresholds

    • www150.statcan.gc.ca
    • open.canada.ca
    Updated Oct 28, 2024
    + more versions
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    Government of Canada, Statistics Canada (2024). High income tax filers in Canada, specific geographic area thresholds [Dataset]. http://doi.org/10.25318/1110005601-eng
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    Dataset updated
    Oct 28, 2024
    Dataset provided by
    Statistics Canadahttps://statcan.gc.ca/en
    Area covered
    Canada
    Description

    This table presents income shares, thresholds, tax shares, and total counts of individual Canadian tax filers, with a focus on high income individuals (95% income threshold, 99% threshold, etc.). Income thresholds are geography-specific; for example, the number of Nova Scotians in the top 1% will be calculated as the number of taxfiling Nova Scotians whose total income exceeded the 99% income threshold of Nova Scotian tax filers. Different definitions of income are available in the table namely market, total, and after-tax income, both with and without capital gains.

  10. Monthly living wage for individuals and families in Nigeria 2020

    • statista.com
    • ai-chatbox.pro
    Updated Jun 24, 2025
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    Statista (2025). Monthly living wage for individuals and families in Nigeria 2020 [Dataset]. https://www.statista.com/statistics/1119087/monthly-living-wage-in-nigeria/
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    Dataset updated
    Jun 24, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2020
    Area covered
    Nigeria
    Description

    On average, the monthly cost of living for an individual in Nigeria amounted to ****** Nigerian Naira, which equaled roughly *** U.S. dollars. On the other hand, this figure added up to ******* Naira for a family, about *** U.S. dollars. In 2020, the minimum wage in Nigeria reached ****** Naira.

  11. c

    World Vision Children Study 2013

    • datacatalogue.cessda.eu
    • da-ra.de
    Updated Mar 15, 2023
    + more versions
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    Andresen, Sabine; Hurrelmann, Klaus (2023). World Vision Children Study 2013 [Dataset]. http://doi.org/10.4232/1.12578
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    Dataset updated
    Mar 15, 2023
    Dataset provided by
    Universität Frankfurt
    Hertie School of Governance, Berlin
    Authors
    Andresen, Sabine; Hurrelmann, Klaus
    Time period covered
    Jan 2013 - Feb 2013
    Area covered
    Germany
    Measurement technique
    Face-to-face interview: Computer-assisted (CAPI/CAMI), Self-administered questionnaire: Paper, Children: Face-to-face interview: CAPI (Computer Assisted Personal Interview)Parents:Self-administered questionnaire: Paper
    Description

    Life situation, wishes, needs and interests of children. Feelings of justice and fears.

    I. Children´s questionnaire:

    Topics: 1. Colloquial language at home; evaluation of the time available from mother and father or of their new life partners for the child; satisfaction with the care of parents; praying at home; regular attendance at church; number of books in the household; own or shared children´s room; media equipment of the children´s room; experiencing restrictions or poverty (scale); satisfaction with the freedoms granted by parents; sense of justice (rich parents should pay more for the journey of a care group than parents of poorer children, some families have little, some very much money, adults decide on the construction of children´s playgrounds, foreign children may only speak German during breaks); sense of justice in the family, at school, with friends, in Germany and all over the world; fair treatment in Germany with the following groups: children or young people, old people, foreigners, disabled people, poor people; frequency of perceived disadvantages due to age, gender, appearance, poverty of the parental home, foreign origin of a parent.

    1. School/ Institutions: school class attended; satisfaction with school; self-assessment of school performance; attending a half-day or full-day school; preference for half-day school; forms of co-determination at school (classroom design, choice of bank neighbour, arrangement of tables, school excursion goals, project topics, design of class rules and school festivals); regular use of after-school care (lunchtime care at the school, after-school care centre, other facility or group for afternoon care); satisfaction with afternoon care; private tutoring; targeted secondary school; targeted school leaving certificate.

    2. Leisure time, media use and friendships: frequency of selected leisure activities; satisfaction with leisure time; reading frequency; television consumption per day; frequency of computer games; computer play time per day; own mobile phone; Internet access; regular Internet use; number of hours per week on the Internet; preferred activities on the Internet; number of friends; number of really good friends; easy or difficult to make friends; frequency of contact with friends at school, at lunchtime, outdoors, at home, with friends at their home, at the club and online; satisfaction with the circle of friends; feeling comfortable in the neighbourhood (only a few public transport, scolding neighbours, enough play friends in the neighbourhood, too much traffic in the street, fear of aggressive young people and adults from the neighbourhood, playground or free meadow within walking distance); satisfaction with one´s own body weight.

    3. Attitudes and participation in everyday life: parents´ permission to make own decisions in various areas (e.g. what friends and clothes, pocket money, leisure activities, etc.); co-determination in the family with regard to leisure activities; importance of one´s own opinion among selected persons; frequency of fears in selected areas (bad marks, unemployment of parents, being threatened or beaten, environmental pollution, more poor people, outbreak of war, migration of foreigners to Germany); political interest; politicians think about the well-being of children; life satisfaction.

    Demography: sex; age; household size; relationship to persons living in the household (household composition); siblings; number of younger and older brothers and sisters; country of birth of parents (migration background).

    Additionally coded: respondent-ID; year of the survey; willingness of the respondent to cooperate; survey in the presence of third parties; degree of relationship to persons present; intervention of persons in the course of the interview.

    II Parent Questionnaire:

    The parents were asked for themselves and their partner: mother or father of the child; family situation; age; highest school leaving certificate; employment situation; professional position; unemployment; desire for more or less work (only employed persons); desire for gainful employment (not employed persons); country of birth; nationality; religion; nationality of the child (German, non-German, dual nationality); type of school attended by the child; association membership of the child; child has attended a kindergarten; age of the child at the time of first attendance of a kindergarten; type of house; residential status; adequate household income to make a living; assessment of the compatibility of family and career.

    Additional variables and indicators: age groups (children); state; town size (BIK); settlement structure (BIK); area (West incl. Berlin/W, East incl. Berlin/O); West/East; (educational) class; siblings; number of siblings in the household; family form; employment status (information provider and partner); employment arrangement; experience of unemployment in the last 2 years; nationality (parental information); migration...

  12. D

    Culturele Veranderingen in Nederland 1979 - CV'79

    • ssh.datastations.nl
    • datacatalogue.cessda.eu
    bin, c, pdf +4
    Updated Apr 24, 2024
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    J.W. Becker; J.W. Becker (2024). Culturele Veranderingen in Nederland 1979 - CV'79 [Dataset]. http://doi.org/10.17026/DANS-X9N-VHT6
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    c(130034), zip(32642), bin(276825), tsv(1369604), text/x-fixed-field(1259706), pdf(1258087), bin(72635), xml(2147)Available download formats
    Dataset updated
    Apr 24, 2024
    Dataset provided by
    DANS Data Station Social Sciences and Humanities
    Authors
    J.W. Becker; J.W. Becker
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Netherlands
    Description

    Trend study of changes in general opinions and attitudes of ( parts of ) the Dutch population / willingness to offer income for a shorter working week / job satisfaction, worries, future/ satisfaction with education / satisfaction with present life / importance of and satisfaction with work and leisure / media exposure concerning news and politics / average time of watching tv / subscription to a national newspaper / idea of what welfare means / present welfare in the Netherlands and in own family / opinion about borrowing money from a bank and about payment by instalments / satisfaction with present society in the Netherlands / government should have more or less money to finance public facilities / measures of government concerning facilities for pupils who have difficulties making their homework at home/ study grants for children from low income groups / good and cheap housing / minimum wages / free education until 18 / pollution / compulsory education until 18 / subsidies for art / day nurseries for children from working mothers / various taxes / government spendings should increase or decrease / personal life worries/ fears/ enough leisure/ feelings of loneliness and senselessness / measures for commercial organizations making losses / firing personnel/ firing management/ cutting down wages/ state aid / satisfaction with housing/ health/ happiness/ marriage/ education/ income/ social securities / opinions about maximum wages/ abuse of social benefits/ income differences/ property differences/ participation of labourers in management / not being entitled to financial aid/ work with future/ as much education as wanted/ comfortable housing situation / one has to be free to demonstrate/ criticize royal family/ strike for wages/ refuse military service/ squat buildings for a just cause/ freedom of speech and press / view of life / religion and political and social organizations / most important things in life / society transparency/ information about duties and rights/ just treatment / most important problems in society / energy problem and measures for economization / participation in educational system and in local and provincial politics / opinions on differences in social status/ emancipation of labour class/ abortion/ emancipation of women/ work, leisure/ forced measures of government concerning energy economization/ taxes/ ways of protesting / type of person that should get a house first, should be fired first, should be promoted first: married, unmarried/ foreigner, Dutch/ young, old/ man, woman/ someone from Surinam or Holland/ white, non-white/ big family, small family / attitudes on man and society / political interest, preference, participation / membership of union / working mothers / euthanasia / non-whites as neighbours / politics mainly a man's business / again personal feelings and behaviour worries, happiness, temper, nightmares, coping with problems, decision making/ boasting, being polite, gossiping, talking about something without knowledge, opinions about other people, answering personal letters, declaring goods at border. Background variables: basic characteristics/ place of birth/ residence/ household characteristics/ occupation/employment/ income/capital assets/ education/ social class/ politics/ religion/ readership, mass media, and 'cultural' exposure/ organizational membership.The data- and documentation files of this dataset can be downloaded via the option Data Files.

  13. U.S. median household income 1967-2023, by race and ethnicity

    • statista.com
    Updated Oct 28, 2024
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    Statista (2024). U.S. median household income 1967-2023, by race and ethnicity [Dataset]. https://www.statista.com/statistics/1086359/median-household-income-race-us/
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    Dataset updated
    Oct 28, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    In the U.S., median household income rose from 51,570 U.S. dollars in 1967 to 80,610 dollars in 2023. In terms of broad ethnic groups, Black Americans have consistently had the lowest median income in the given years, while Asian Americans have the highest; median income in Asian American households has typically been around double that of Black Americans.

  14. U.S. monthly average hourly earnings nonfarm payroll employees 2022-2024

    • statista.com
    Updated Jul 3, 2024
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    Abigail Tierney (2024). U.S. monthly average hourly earnings nonfarm payroll employees 2022-2024 [Dataset]. https://www.statista.com/topics/789/wages-and-salary/
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    Dataset updated
    Jul 3, 2024
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Abigail Tierney
    Area covered
    United States
    Description

    In October 2024, the average hourly earnings for all employees on private nonfarm payrolls in the United States stood at 35.46 U.S. dollars. The data have been seasonally adjusted. Employed persons are employees on nonfarm payrolls and consist of: persons who did any work for pay or profit during the survey reference week; persons who did at least 15 hours of unpaid work in a family-operated enterprise; and persons who were temporarily absent from their regular jobs because of illness, vacation, bad weather, industrial dispute, or various personal reasons.

  15. Average annual earnings for full-time employees in the UK 2024, by region

    • statista.com
    • ai-chatbox.pro
    Updated May 21, 2025
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    Statista (2025). Average annual earnings for full-time employees in the UK 2024, by region [Dataset]. https://www.statista.com/statistics/416139/full-time-annual-salary-in-the-uk-by-region/
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    Dataset updated
    May 21, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2024
    Area covered
    United Kingdom
    Description

    The median annual earnings in the United Kingdom was 37,430 British pounds per year in 2024. Annual earnings varied significantly by region, ranging from 47,455 pounds in London to 32,960 pounds in the North East. Along with London, two other areas of the UK had median annual earnings above the UK average; South East England, and Scotland, at 39,038 pounds and 38,315 pounds respectively. Regional Inequality in the UK Various other indicators highlight the degree of regional inequality in the UK, especially between London and the rest of the country. Productivity in London, as measured by output per hour, was 26.2 percent higher than the UK average. By comparison, every other UK region, except the South East, fell below the UK average for productivity. In gross domestic product per head, London was also an outlier. The average GDP per head in the UK was just over 37,000 pounds in 2023, but for London it was almost 64,000 pounds. Again, the South East's GDP per head was slightly above the UK average, with every other region below it. Within London itself, there is also a great degree of inequality. In 2023, for example, the average earnings in Kensington and Chelsea were 964 pounds per week, compared with 675 pounds in Barking and Dagenham. Wages continue to grow in 2025 In March 2025, weekly wages in the UK were growing by around 5.6 percent, or 1.8 percent when adjusted for inflation. For almost two years, wages have grown faster than inflation after a long period where prices were rising faster than wages between 2021 and 2023. This was due to a sustained period of high inflation in the UK, which peaked in October 2022 at 11.1 percent. Although inflation started to slow the following month, it wasn't until June 2023 that wages started to outpace inflation. By this point, the damage caused by high energy and food inflation had led to the the worst Cost of Living Crisis in the UK for a generation.

  16. Average salary in Venezuela 2022-2024

    • statista.com
    Updated Jun 19, 2025
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    Statista (2025). Average salary in Venezuela 2022-2024 [Dataset]. https://www.statista.com/statistics/1416427/average-salary-venezuela/
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    Dataset updated
    Jun 19, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 2021 - Jul 2024
    Area covered
    Venezuela
    Description

    In the timeframe presented, there has been a general uptick in the average monthly salary for Venezuelan employees, peaking at ******* USD in July 2024.

  17. Average annual gross salary in Italy 2024, by region

    • statista.com
    • ai-chatbox.pro
    Updated May 27, 2025
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    Statista (2025). Average annual gross salary in Italy 2024, by region [Dataset]. https://www.statista.com/statistics/708972/average-annual-nominal-wages-of-employees-italy-by-region/
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    Dataset updated
    May 27, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Italy
    Description

    Located in the north of the country, Lombardy had the highest mean gross salary in 2024, while workers in Basilicata earned the lowest average wages nationwide. The figure for Lombardy amounted to ****** euros, around *** euros more than in Lazio, where the capital Rome is situated, as reported by Job Pricing. Trentino-South Tyrol was the region with the second-highest average gross salary, ****** euros per year. The last positions of the raking were occupied by the southern regions, with an average wage of ****** euros. High wages and large pay gap  According to the same source, employees working in banking and financial services had some of the largest salaries in Italy. However, men earned roughly ** percent more than women (****** euros versus ****** euros). Similarly, the annual gross salary in the insurance industry was ** percent higher in favor of men. Low-wage workers The south of Italy was also the place registering the highest percentage of low paid employees. These are employees with an hourly salary of less than ********** of the median salary over the total number of employees. More specifically, in the south and on the islands, the share of low-wage employees was **** and **** percent, respectively. In the northern regions, the share amounted to only *** percent.

  18. D

    Children Dining Chairs Market Report | Global Forecast From 2025 To 2033

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    Updated Jan 7, 2025
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    Dataintelo (2025). Children Dining Chairs Market Report | Global Forecast From 2025 To 2033 [Dataset]. https://dataintelo.com/report/global-children-dining-chairs-market
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    pptx, pdf, csvAvailable download formats
    Dataset updated
    Jan 7, 2025
    Authors
    Dataintelo
    License

    https://dataintelo.com/privacy-and-policyhttps://dataintelo.com/privacy-and-policy

    Time period covered
    2024 - 2032
    Area covered
    Global
    Description

    Children Dining Chairs Market Outlook



    The global children dining chairs market size is expected to reach USD 2.5 billion by 2032, growing at a compound annual growth rate (CAGR) of 4.8% from USD 1.6 billion in 2023. The significant growth of this market is primarily driven by rising concerns among parents regarding child safety and comfort during meal times, coupled with the increasing disposable income of families worldwide. Additionally, the growing emphasis on ergonomic designs and multifunctional furniture is expected to further propel market growth.



    One of the primary growth factors for the children dining chairs market is the increasing awareness among parents about the importance of proper seating arrangements for their children during meals. This awareness is being supported by pediatricians and child care experts who advocate for ergonomically designed chairs that ensure proper posture and safety. Furthermore, the proliferation of nuclear families and the increasing trend of dual-income households have led to higher spending capabilities, enabling parents to invest in quality and branded children dining chairs. This trend is further amplified by the growing online presence of baby product retailers, making it easier for parents to access and buy diverse product ranges.



    Technological advancements and innovations in the design and functionality of children dining chairs are also contributing significantly to market growth. Manufacturers are increasingly focusing on creating chairs that are not only safe and comfortable but also versatile and aesthetically pleasing. Convertible chairs that can adapt to the growing needs of children are gaining substantial traction in the market. Additionally, the integration of sustainable and eco-friendly materials in production is attracting environmentally conscious consumers, further driving the demand for children dining chairs.



    The increasing urbanization and the burgeoning middle-class population in emerging economies are also playing a pivotal role in the expansion of the children dining chairs market. As urban areas continue to grow, the demand for compact and multifunctional furniture that can fit into smaller living spaces is rising. Moreover, the expanding retail sector in these regions, characterized by the growth of supermarkets/hypermarkets and specialized baby product stores, is making it easier for consumers to access a wide variety of children dining chairs.



    In parallel with the children dining chairs market, the demand for Nursing Chairs And Gliders is also witnessing a notable rise. These chairs are specifically designed to provide comfort and support to nursing mothers, making them an essential addition to nurseries. The ergonomic design of nursing chairs and gliders ensures that mothers can maintain a comfortable posture while feeding their infants, reducing the risk of back and neck strain. Additionally, the gentle rocking motion of gliders offers a soothing experience, helping to calm both the mother and the baby. As more parents prioritize comfort and functionality in their nursery furniture, the market for nursing chairs and gliders continues to expand, driven by innovations in design and materials.



    Regionally, North America has traditionally been a significant market for children dining chairs, owing to high disposable incomes and a strong emphasis on child safety products. However, the Asia Pacific region is expected to witness the highest growth during the forecast period, driven by rapid urbanization, rising disposable incomes, and increasing awareness about child safety. Countries like China and India are anticipated to be the key growth contributors, supported by their large populations and expanding middle-class demographics.



    Product Type Analysis



    In the children dining chairs market, product types play a crucial role in determining consumer preferences and buying behavior. High chairs, the most traditional and commonly used type, continue to dominate the market due to their stability and safety features. These chairs are typically designed with a wide base to prevent tipping over and come equipped with safety harnesses to secure the child. Parents particularly appreciate the high vantage point that allows children to sit at the same level as adults during meals, fostering family bonding and interaction. The durability and long lifespan of high chairs also make them a preferred choice for many families.



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Statista (2024). U.S. median household income 1990-2023 [Dataset]. https://www.statista.com/statistics/200838/median-household-income-in-the-united-states/
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U.S. median household income 1990-2023

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22 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
Sep 16, 2024
Dataset authored and provided by
Statistahttp://statista.com/
Area covered
United States
Description

This statistic shows the median household income in the United States from 1990 to 2023 in 2023 U.S. dollars. The median household income was 80,610 U.S. dollars in 2023, an increase from the previous year. Household incomeThe median household income depicts the income of households, including the income of the householder and all other individuals aged 15 years or over living in the household. Income includes wages and salaries, unemployment insurance, disability payments, child support payments received, regular rental receipts, as well as any personal business, investment, or other kinds of income received routinely. The median household income in the United States varies from state to state. In 2020, the median household income was 86,725 U.S. dollars in Massachusetts, while the median household income in Mississippi was approximately 44,966 U.S. dollars at that time. Household income is also used to determine the poverty line in the United States. In 2021, about 11.6 percent of the U.S. population was living in poverty. The child poverty rate, which represents people under the age of 18 living in poverty, has been growing steadily over the first decade since the turn of the century, from 16.2 percent of the children living below the poverty line in year 2000 to 22 percent in 2010. In 2021, it had lowered to 15.3 percent. The state with the widest gap between the rich and the poor was New York, with a Gini coefficient score of 0.51 in 2019. The Gini coefficient is calculated by looking at average income rates. A score of zero would reflect perfect income equality and a score of one indicates a society where one person would have all the money and all other people have nothing.

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