68 datasets found
  1. F

    Real Disposable Personal Income

    • fred.stlouisfed.org
    json
    Updated Sep 26, 2025
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    (2025). Real Disposable Personal Income [Dataset]. https://fred.stlouisfed.org/series/DSPIC96
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    jsonAvailable download formats
    Dataset updated
    Sep 26, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Description

    Graph and download economic data for Real Disposable Personal Income (DSPIC96) from Jan 1959 to Aug 2025 about disposable, personal income, personal, income, real, and USA.

  2. T

    United States Personal Income

    • tradingeconomics.com
    • tr.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Sep 26, 2025
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    TRADING ECONOMICS (2025). United States Personal Income [Dataset]. https://tradingeconomics.com/united-states/personal-income
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    csv, json, xml, excelAvailable download formats
    Dataset updated
    Sep 26, 2025
    Dataset authored and provided by
    TRADING ECONOMICS
    License

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

    Time period covered
    Feb 28, 1959 - Aug 31, 2025
    Area covered
    United States
    Description

    Personal Income in the United States increased 0.40 percent in August of 2025 over the previous month. This dataset provides the latest reported value for - United States Personal Income - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

  3. F

    Real Disposable Personal Income: Per Capita

    • fred.stlouisfed.org
    json
    Updated Sep 26, 2025
    + more versions
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    (2025). Real Disposable Personal Income: Per Capita [Dataset]. https://fred.stlouisfed.org/series/A229RX0
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Sep 26, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Description

    Graph and download economic data for Real Disposable Personal Income: Per Capita (A229RX0) from Jan 1959 to Aug 2025 about disposable, personal income, per capita, personal, income, real, and USA.

  4. F

    Median Household Income in the United States

    • fred.stlouisfed.org
    json
    Updated Sep 9, 2025
    + more versions
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    (2025). Median Household Income in the United States [Dataset]. https://fred.stlouisfed.org/series/MEHOINUSA646N
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    jsonAvailable download formats
    Dataset updated
    Sep 9, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Area covered
    United States
    Description

    Graph and download economic data for Median Household Income in the United States (MEHOINUSA646N) from 1984 to 2024 about households, median, income, and USA.

  5. Disposable income growth forecast UK 2019-2030

    • statista.com
    • tokrwards.com
    Updated Oct 8, 2025
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    Statista (2025). Disposable income growth forecast UK 2019-2030 [Dataset]. https://www.statista.com/statistics/1070120/real-household-disposable-income-per-capita-change-forecast-united-kingdom/
    Explore at:
    Dataset updated
    Oct 8, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United Kingdom
    Description

    Real household disposable income per person in the United Kingdom is expected to grow by *** percent in 2024/25, with disposable income growth slowing from that point onwards. In 2022/23, disposable income fell by *** percent, after falling by *** percent in 2021/22, and *** percent in 2020/21.

  6. U.S household income shares of quintiles 1970-2023

    • statista.com
    • tokrwards.com
    Updated Sep 17, 2024
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    Statista (2024). U.S household income shares of quintiles 1970-2023 [Dataset]. https://www.statista.com/statistics/203247/shares-of-household-income-of-quintiles-in-the-us/
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    Dataset updated
    Sep 17, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    About 50.4 percent of the household income of private households in the U.S. were earned by the highest quintile in 2023, which are the upper 20 percent of the workers. In contrast to that, in the same year, only 3.5 percent of the household income was earned by the lowest quintile. This relation between the quintiles is indicative of the level of income inequality in the United States. Income inequalityIncome inequality is a big topic for public discussion in the United States. About 65 percent of U.S. Americans think that the gap between the rich and the poor has gotten larger in the past ten years. This impression is backed up by U.S. census data showing that the Gini-coefficient for income distribution in the United States has been increasing constantly over the past decades for individuals and households. The Gini coefficient for individual earnings of full-time, year round workers has increased between 1990 and 2020 from 0.36 to 0.42, for example. This indicates an increase in concentration of income. In general, 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. Income distribution is also affected by region. The state of New York had the widest gap between rich and poor people in the United States, with a Gini coefficient of 0.51, as of 2019. In global comparison, South Africa led the ranking of the 20 countries with the biggest inequality in income distribution in 2018. South Africa had a score of 63 points, based on the Gini coefficient. On the other hand, the Gini coefficient stood at 16.6 in Azerbaijan, indicating that income is widely spread among the population and not concentrated on a few rich individuals or families. Slovenia led the ranking of the 20 countries with the greatest income distribution equality in 2018.

  7. Per capita disposable income of households in China 1990-2024

    • statista.com
    • tokrwards.com
    Updated Jan 21, 2025
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    Statista (2025). Per capita disposable income of households in China 1990-2024 [Dataset]. https://www.statista.com/statistics/278698/annual-per-capita-income-of-households-in-china/
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    Dataset updated
    Jan 21, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    China
    Description

    In 2024, the average annual per capita disposable income of households in China amounted to approximately 41,300 yuan. Annual per capita income in Chinese saw a significant rise over the last decades and is still rising at a high pace. During the last ten years, per capita disposable income roughly doubled in China. Income distribution in China As an emerging economy, China faces a large number of development challenges, one of the most pressing issues being income inequality. The income gap between rural and urban areas has been stirring social unrest in China and poses a serious threat to the dogma of a “harmonious society” proclaimed by the communist party. In contrast to the disposable income of urban households, which reached around 54,200 yuan in 2024, that of rural households only amounted to around 23,100 yuan. Coinciding with the urban-rural income gap, income disparities between coastal and western regions in China have become apparent. As of 2023, households in Shanghai and Beijing displayed the highest average annual income of around 84,800 and 81,900 yuan respectively, followed by Zhejiang province with 63,800 yuan. Gansu, a province located in the West of China, had the lowest average annual per capita household income in China with merely 25,000 yuan. Income inequality in China The Gini coefficient is the most commonly used measure of income inequality. For China, the official Gini coefficient also indicates the astonishing inequality of income distribution in the country. Although the Gini coefficient has dropped from its high in 2008 at 49.1 points, it still ranged at a score of 46.5 points in 2023. The United Nations have set an index value of 40 as a warning level for serious inequality in a society.

  8. F

    Employed full time: Median usual weekly real earnings: Wage and salary...

    • fred.stlouisfed.org
    json
    Updated Jul 22, 2025
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    (2025). Employed full time: Median usual weekly real earnings: Wage and salary workers: 16 years and over [Dataset]. https://fred.stlouisfed.org/series/LES1252881600Q
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    jsonAvailable download formats
    Dataset updated
    Jul 22, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Description

    Graph and download economic data for Employed full time: Median usual weekly real earnings: Wage and salary workers: 16 years and over (LES1252881600Q) from Q1 1979 to Q2 2025 about full-time, salaries, workers, earnings, 16 years +, wages, median, employment, real, and USA.

  9. U

    United States Monthly Earnings

    • ceicdata.com
    Updated Mar 21, 2025
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    CEICdata.com (2025). United States Monthly Earnings [Dataset]. https://www.ceicdata.com/en/indicator/united-states/monthly-earnings
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    Dataset updated
    Mar 21, 2025
    Dataset provided by
    CEICdata.com
    License

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

    Time period covered
    Mar 1, 2024 - Feb 1, 2025
    Area covered
    United States
    Description

    Key information about United States Monthly Earnings

    • United States Monthly Earnings stood at 4,901 USD in Feb 2025, compared with the previous figure of 4,887 USD in Jan 2025
    • US Monthly Earnings data is updated monthly, available from Mar 2006 to Feb 2025, with an average number of 3,469 USD
    • The data reached the an all-time high of 4,901 USD in Feb 2025 and a record low of 2,743 USD in Mar 2006

    CEIC calculates Monthly Earnings from Average Weekly Earnings multiplied by 4. U.S. Bureau of Labor Statistics provides Average Weekly Earnings in USD. Monthly Earnings include Private Non Agricultural sector only.


    Further information about United States Monthly Earnings

    • In the latest reports, US Population reached 341 million people in Dec 2024
    • Unemployment Rate of US increased to 4 % in Feb 2025
    • The country's Labour Force Participation Rate remained the same rate at 62 % in Feb 2025

  10. Per capita national income in India FY 2015-2025

    • statista.com
    • thefarmdosupply.com
    • +1more
    Updated Jun 23, 2025
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    Statista (2025). Per capita national income in India FY 2015-2025 [Dataset]. https://www.statista.com/statistics/802122/india-net-national-income-per-capita/
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    Dataset updated
    Jun 23, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    India
    Description

    India’s per capita net national income or NNI was around *** thousand rupees in financial year 2025. The annual growth rate was *** percent as compared to the previous year. National income indicators   While GNI (Gross National Income) and NNI are both indicators for a country’s economic performance and welfare, the GNI is related to the GDP plus the net receipts from abroad, including wages and salaries, property income, net taxes and subsidies receivable from abroad. On the other hand, the NNI of a country is equal to its GNI net of depreciation. In 2020, India ranked second amongst the Asia Pacific countries in terms of its gross national income. This has been possible due to a favorable GDP growth in India. Measuring wealth versus welfare   National income per person or per capita is often used as an indicator of people's standard of living and welfare. However, critics object to this by citing that since it is a mean value, it does not reflect the real income distribution. In other words, a small wealthy class of people in the country can skew the per capita income substantially, even though the average population has no change in income. This is exemplified by the fact that in India, the top one percent of people, control over 40 percent of the country’s wealth.

  11. F

    Personal Income

    • fred.stlouisfed.org
    json
    Updated Sep 26, 2025
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    (2025). Personal Income [Dataset]. https://fred.stlouisfed.org/series/PI
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Sep 26, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Description

    Graph and download economic data for Personal Income (PI) from Jan 1959 to Aug 2025 about headline figure, personal income, personal, income, and USA.

  12. Average monthly income per capita in Vietnam 2012-2024

    • statista.com
    • tokrwards.com
    Updated Sep 23, 2023
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    Statista (2023). Average monthly income per capita in Vietnam 2012-2024 [Dataset]. https://www.statista.com/statistics/1021888/vietnam-average-monthly-income-per-capita/
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    Dataset updated
    Sep 23, 2023
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Vietnam
    Description

    In 2024, the average monthly income per capita in Vietnam reached approximately *** million Vietnamese dong, indicating a slight increase from the previous year. 2020 and 2021 were particularly difficult years for the country’s population when per capita income decreased due to the negative impacts of the COVID-19 epidemic. Income distribution in Vietnam As a rapidly developing country in Southeast Asia, Vietnam has made significant efforts to improve income distribution among its population. One of the key factors contributing to a more balanced income distribution is Vietnam’s robust economic growth. Although the COVID-19 pandemic posed challenges to the country’s economy, Vietnam has been enjoying gradual GDP growth over the past few years, which explains the increase in job opportunities and higher wages for many Vietnamese citizens. Over the years, the Vietnamese government has implemented various policies and strategies to reduce the poverty rate and narrow the income gap in the country. However, the difference in income between urban and rural areas is inevitable. According to a governmental report in 2022, earnings per capita improved steadily across the whole country regardless of area; nonetheless, the monthly average income in urban areas was 1.5 times higher than that of their rural counterparts. Among the five major cities, Ha Noi and Ho Chi Minh City recorded the highest income per capita due to their higher living expenses compared to other areas. Monthly household expenditures in Vietnam While Vietnam has made noticeable progress in reducing poverty and improving income distribution, challenges remain in shaping the overall living standard for the population. The cost of living varies across different regions, with urban areas generally having higher expenses compared to rural areas. The largest portions of household expenditures are mainly used for nutrition, followed by housing, transportation, and healthcare. Education and entertainment also contributed to the monthly expenses, especially after the COVID-19 pandemic recovery and many restrictions were lifted in the country.

  13. g

    German Internet Panel, Welle 9 (Januar 2014)

    • search.gesis.org
    • pollux-fid.de
    Updated Aug 23, 2016
    + more versions
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    Blom, Annelies G.; Bossert, Dayana; Gebhard, Franziska; Herzing, Jessica; Krieger, Ulrich; SFB 884 ´Political Economy of Reforms´ (2016). German Internet Panel, Welle 9 (Januar 2014) [Dataset]. http://doi.org/10.4232/1.12615
    Explore at:
    (33948), (47836)Available download formats
    Dataset updated
    Aug 23, 2016
    Dataset provided by
    GESIS Data Archive
    GESIS search
    Authors
    Blom, Annelies G.; Bossert, Dayana; Gebhard, Franziska; Herzing, Jessica; Krieger, Ulrich; SFB 884 ´Political Economy of Reforms´
    License

    https://www.gesis.org/en/institute/data-usage-termshttps://www.gesis.org/en/institute/data-usage-terms

    Time period covered
    Jan 1, 2014 - Jan 2, 2014
    Area covered
    Germany
    Description

    The German Internet Panel (GIP) is an infrastructure project. The GIP serves to collect data about individual attitudes and preferences which are relevant for political and economic decision-making processes.

    Experimental variations in the instruments were used. The questionnaire contains numerous randomizations (e.g. order of option A and B) as well as a cross-questionnaire experiment.

    Topics: 1. Political attitudes: preferred sole governments or government coalitions; preference for a government coalition of CDU/CSU and FDP or for a coalition of SPD and Bündnis90/Die Grünen; maximum monthly amount the respondent would be willing to pay for the realization of the desired coalition; support for nuclear phase-out; maximum monthly amount the respondent would be willing to pay for the implementation of the desired nuclear phase-out and anticipated maximum amount of other supporters; unemployment benefit ALG II: preference for the current or amended ALG II scheme in terms of standard rates and additional earnings limits; expected impact of the amended ALG II scheme on the proportion of ALG II recipients seeking work; expected impact of the amended ALG II scheme on the financial situation of selected groups (unemployed, low-income and high-income workers respectively enterprises); expected impact of the amended ALG II scheme on the personal financial situation, the likelihood of own unemployment and personal living standards; expected effect of an anticipated general wage cut of three per cent on labour demand; estimated percentage by which labour demand would increase or decrease.

    1. Preferences and interests in terms of working life: in relation to current and last occupation: actual weekly working hours including overtime; preferred weekly working hours; monthly net wage (classified); year of last wage payment; preferences for selected options in various decision-making situations regarding weekly working hours, monthly net earnings and income from other sources; self-assessment of risk appetite (scalometer); impact of income tax reform on preferred weekly working hours: preferences for selected options in various decision-making situations (permanent increase or decrease in income tax, partial suspension or one-off increase in income tax).

    2. Opinion on the emotional suitability of women for politics; policy competence: complexity of politics and government; opinion on freedom of speech; climate change: knowledge of global changes in average temperatures; general personal confidence; expected persistence of inequality due to benefits for the rich and powerful.

    3. Estimate of the likelihood of selected future events occurring in the next 12 months (in percent): job loss, finding a new job, rising cost of living; lowest or highest net monthly wage on a new job (in euros); estimate of the likelihood (in percent) that the monthly wage on a new job is at least sum x.

    Demography: sex; citizenship; year of birth (categorised); highest school leaving certificate; highest professional qualification; marital status; household size; employment status; private internet use; federal state.

    Additionally coded was: interview date; questionnaire evaluation; assessment of the survey as a whole; unique ID, household ID and person ID within the household.

  14. U.S. median household income 2023, by education of householder

    • statista.com
    • tokrwards.com
    Updated Sep 17, 2024
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    Statista (2024). U.S. median household income 2023, by education of householder [Dataset]. https://www.statista.com/statistics/233301/median-household-income-in-the-united-states-by-education/
    Explore at:
    Dataset updated
    Sep 17, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2023
    Area covered
    United States
    Description

    U.S. citizens with a professional degree had the highest median household income in 2023, at 172,100 U.S. dollars. In comparison, those with less than a 9th grade education made significantly less money, at 35,690 U.S. dollars. Household income The median household income in the United States has fluctuated since 1990, but rose to around 70,000 U.S. dollars in 2021. Maryland had the highest median household income in the United States in 2021. Maryland’s high levels of wealth is due to several reasons, and includes the state's proximity to the nation's capital. Household income and ethnicity The median income of white non-Hispanic households in the United States had been on the rise since 1990, but declining since 2019. While income has also been on the rise, the median income of Hispanic households was much lower than those of white, non-Hispanic private households. However, the median income of Black households is even lower than Hispanic households. Income inequality is a problem without an easy solution in the United States, especially since ethnicity is a contributing factor. Systemic racism contributes to the non-White population suffering from income inequality, which causes the opportunity for growth to stagnate.

  15. Average nominal wage per month in Russia 1995-2024

    • statista.com
    • tokrwards.com
    Updated Jun 19, 2025
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    Statista (2025). Average nominal wage per month in Russia 1995-2024 [Dataset]. https://www.statista.com/statistics/1010660/russia-average-monthly-nominal-wage/
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    Dataset updated
    Jun 19, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Russia
    Description

    The average nominal salary in Russia was measured at ****** Russian rubles per month in 2024, marking an increase of roughly ****** Russian rubles compared to the previous year. After the currency redenomination and the financial default in 1998, the average wage levels in the country have grown exponentially. Who gets paid more in Russia? The Russian oil and gas industry paid the highest average wage to their employees, at ******* Russian rubles between January and September 2021. Salaries in management and management consulting were the second-highest, followed by air transportation and software development. On average, men earned more than women across all industries in the country. For example, in the information and communications sector, the average wage of a male worker amounted to nearly ******* Russian rubles, compared to under ****** Russian rubles for a female worker. Economic inequality in Russia The national income distribution of Russian households shows a high concentration of income and wealth in the hands of few individuals. In 2021, the mean income of the top one percent exceeded ******* euros before income tax, compared to ***** euros earned by the bottom 50 percent of the population. Furthermore, the richest one percent in Russia held an average wealth of over *** billion euros, whereas the personal wealth of the bottom 50 percent was measured at ***** euros in the same year. However, the income gap was forecast to decrease in Russia, with the Gini index expected to decline to **** by 2029.

  16. Adjusted household disposable income, Canada, provinces and territories,...

    • www150.statcan.gc.ca
    Updated Apr 14, 2025
    + more versions
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    Government of Canada, Statistics Canada (2025). Adjusted household disposable income, Canada, provinces and territories, annual (x 1,000,000) [Dataset]. http://doi.org/10.25318/3610061201-eng
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    Dataset updated
    Apr 14, 2025
    Dataset provided by
    Statistics Canadahttps://statcan.gc.ca/en
    Area covered
    Canada
    Description

    Annual adjusted household disposable income including social transfers in kind.

  17. Average monthly income per household Thailand 2009-2023

    • statista.com
    • tokrwards.com
    Updated Aug 8, 2025
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    Statista (2025). Average monthly income per household Thailand 2009-2023 [Dataset]. https://www.statista.com/statistics/1030185/thailand-average-monthly-income-per-household/
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    Dataset updated
    Aug 8, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Thailand
    Description

    In 2023, the average monthly income per household in Thailand amounted to over ****** Thai baht, which was an increase compared to the previous year. The figures show a gradual increase in monthly income throughout the years, with some slight fluctuations.

  18. Table 3.1a Percentile points from 1 to 99 for total income before and after...

    • gov.uk
    Updated Mar 12, 2025
    + more versions
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    HM Revenue & Customs (2025). Table 3.1a Percentile points from 1 to 99 for total income before and after tax [Dataset]. https://www.gov.uk/government/statistics/percentile-points-from-1-to-99-for-total-income-before-and-after-tax
    Explore at:
    Dataset updated
    Mar 12, 2025
    Dataset provided by
    GOV.UKhttp://gov.uk/
    Authors
    HM Revenue & Customs
    Description

    The table only covers individuals who have some liability to Income Tax. The percentile points have been independently calculated on total income before tax and total income after tax.

    These statistics are classified as accredited official statistics.

    You can find more information about these statistics and collated tables for the latest and previous tax years on the Statistics about personal incomes page.

    Supporting documentation on the methodology used to produce these statistics is available in the release for each tax year.

    Note: comparisons over time may be affected by changes in methodology. Notably, there was a revision to the grossing factors in the 2018 to 2019 publication, which is discussed in the commentary and supporting documentation for that tax year. Further details, including a summary of significant methodological changes over time, data suitability and coverage, are included in the Background Quality Report.

  19. F

    Households; Net Worth, Level

    • fred.stlouisfed.org
    json
    Updated Sep 11, 2025
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    (2025). Households; Net Worth, Level [Dataset]. https://fred.stlouisfed.org/series/BOGZ1FL192090005Q
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    jsonAvailable download formats
    Dataset updated
    Sep 11, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Description

    Graph and download economic data for Households; Net Worth, Level (BOGZ1FL192090005Q) from Q4 1987 to Q2 2025 about net worth, Net, households, and USA.

  20. e

    Change and Development of Ways of Family Life - 2nd Wave (Survey of...

    • b2find.eudat.eu
    Updated Mar 22, 2009
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    (2009). Change and Development of Ways of Family Life - 2nd Wave (Survey of Families) - Dataset - B2FIND [Dataset]. https://b2find.eudat.eu/dataset/b354be3f-5bf1-5798-920e-ede4b56e5727
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    Dataset updated
    Mar 22, 2009
    Description

    Current situation in life and ways of life. Social relations and courses of life. Topics: 1. Children: number of siblings; position in sibling sequence; sex of siblings; growing up with both parents or with single-parent; divorce or other reasons for separation of parents; social origins; educational goals; detailed information for every child on date of birth, sex, status, place of stay, school attendance, attendance at a kindergarten, vocational training and child care after school; desired number of children; living together with a partner; living separately; year of separation; right to support or personal obligation to pay; regularity of payments deposited. 2. Partner biography: steady partnership; detailed information for every partnership regarding: time of getting to know each other, start of actual partnership, start of living together in a residence, number of common children, age difference of partners, original marital status and school degree of partner, differences in nationality, date of marriage and continued existence of partner relation as well as point in time and manner of termination of the relation; difficulties in the partnership; thoughts of divorce; conversation with friends or partner as well as a lawyer about a possible divorce. 3. Questions on social net: person to confide in; persons with whom meals are regularly eaten and to whom emotional relations exist; persons from whom financial support is received or to whom it is given; leisure partner; sex, type of relation, distance to residence and frequency of contact with persons of one´s social surroundings; relation with friends and acquaintances (scale); number of living grandparents. 4. School, training and employment: year of starting school; year of school degree; time of first taking up an occupational activity and complete specification of professional career; current employment status; number of hours each week; temporary employment; work orientation (scale); raising children and employment; information on number of siblings, number of grandchildren, number of grandparents, employment, professional position and number of hours each week of spouse; division of tasks in the partnership; attitude to marriage (scale); estimated weekly effort for activities for family and household; attitude to children (scale); religiousness; postmaterialism; residential status; inheritance or purchase of real estate; gift received to acquire real estate; monthly rent or housing costs; floor space; number of rooms; number of children´s rooms; age at leaving parental home; length of residence; state of parental home; information on infrastructure available in one´s residential area and use of these facilities; presence and use of facilities for children in the immediate vicinity of one´s residence; members of household as recipients of government transfer payments such as earnings-related unemployment benefit, housing benefit or child benefit; household income; regular savings amount; annual construction savings amount; having debts and amount of debt; right to support for children; regularity of payments to child; utilization of social aid and counseling measures; looking after persons in need of care in household; family relation with these persons and weekly number of hours expended for this; support in care by social services or further persons; care activities besides housekeeping and employment; self-assessment of condition of health. Aktuelle Lebenssituation und Lebensformen. Soziale Beziehungen und Lebensverläufe. Themen: 1. Kinder: Geschwisterzahl; Stellung in der Geschwisterfolge; Geschlecht der Geschwister; Aufwachsen bei beiden Elternteilen oder bei alleinerziehenden Elternteilen; Scheidung oder andere Gründe für die Trennung der Eltern; soziale Herkunft; Erziehungsziele; detaillierte Angaben über das Geburtsdatum, das Geschlecht, den Status, den Aufenthaltsort, den Schulbesuch, den Kindergartenbesuch, die Berufsausbildung und die Kinderbetreuung nach der Schule für jedes Kind; gewünschte Kinderzahl; Zusammenleben mit einem Partner; getrenntlebend; Jahr der Trennung; Anspruch auf Unterhaltsgeld oder eigene Zahlungsverpflichtungen; Regelmäßigkeit der eingehenden Zahlungen. 2. Partnerbiographie: Feste Partnerschaft; detaillierte Angaben für jede Partnerschaft bezüglich: Zeitpunkt des Kennenlernens, Beginn der eigentlichen Partnerschaft, Beginn des Zusammenlebens in einer Wohnung, Anzahl der gemeinsamen Kinder, Altersabstand der Partner, ursprünglicher Familienstand und Schulabschluß des Partners, Unterschiede in der Staatsangehörigkeit, Heiratsdatum und Fortbestand der Partnerbeziehung sowie Zeitpunkt und Art der Beendigung der Beziehung; Schwierigkeiten in der Partnerschaft; Gedanken an Scheidung; Gespräch mit Freunden oder dem Partner sowie einem Anwalt über eine mögliche Scheidung. 3. Fragen zum sozialen Netz: Vertrauensperson; Personen, mit denen regelmäßig Mahlzeiten eingenommen werden und zu denen gefühlsmäßige Beziehungen bestehen; Personen, von denen eine finanzielle Unterstützung erhalten bzw. an die eine solche gegeben wird; Freizeitpartner; Geschlecht, Art der Beziehung, Wohndistanz und Kontakthäufigkeit zu den Personen des sozialen Umfelds; Beziehung zu Freunden und Bekannten (Skala); Anzahl der lebenden Großeltern. 4. Schule, Ausbildung und Erwerbstätigkeit: Einschulungsjahr; Jahr des Schulabschlusses; Zeitpunkt der ersten Aufnahme einer beruflichen Tätigkeit und lückenlose Angabe der beruflichen Karriere; derzeitiger Erwerbsstatus; Wochenstundenzahl; befristetes Arbeitsverhältnis; Arbeitsorientierung (Skala); Kindererziehung und Berufstätigkeit; Angaben über die Geschwisterzahl, Enkelzahl, Großelternzahl, Erwerbstätigkeit, berufliche Position und Wochenstundenzahl des Ehepartners; Aufgabenteilung in der Partnerschaft; Einstellung zur Ehe (Skala); geschätzter wöchentlicher Aufwand für Familien- und Haushaltstätigkeiten; Einstellung zu Kindern (Skala); Religiosität; Postmaterialismus; Wohnstatus; Erbschaft oder Kauf von Immobilien; erhaltene Schenkung zum Erwerb einer Immobilie; monatliche Miet- bzw. Wohnungskosten; Wohnfläche; Zimmerzahl; Anzahl der Kinderzimmer; Alter beim Auszug aus der elterlichen Wohnung; Wohndauer; Bundesland der elterlichen Wohnung; Angaben über die Infrastrukturversorgung der Wohngegend und Nutzung dieser Einrichtungen; Vorhandensein und Nutzung von Einrichtungen für Kinder in der näheren Umgebung der Wohnung; Haushaltsmitglieder als Empfänger von staatlichen Transferleistungen wie Arbeitslosengeld, Wohngeld oder Erziehungsgeld; Haushaltseinkommen; regelmäßiger Sparbetrag; jährlicher Bausparbetrag; Schuldenbesitz und Schuldenhöhe; Unterhaltsansprüche für Kinder; Regelmäßigkeit der Zahlungen an das Kind; Inanspruchnahme von sozialen Hilfs- und Beratungsmaßnahmen; Betreuung pflegebedürftiger Personen im Haushalt; Verwandtschaftsbeziehung zu diesen Personen und dabei aufgewandte wöchentliche Stundenzahl; Unterstützung bei der Betreuung durch soziale Dienste oder weitere Personen; Betreuungstätigkeiten neben der Haushaltsführung und Erwerbstätigkeit; Selbsteinschätzung des Gesundheitszustands.

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(2025). Real Disposable Personal Income [Dataset]. https://fred.stlouisfed.org/series/DSPIC96

Real Disposable Personal Income

DSPIC96

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27 scholarly articles cite this dataset (View in Google Scholar)
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Dataset updated
Sep 26, 2025
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Graph and download economic data for Real Disposable Personal Income (DSPIC96) from Jan 1959 to Aug 2025 about disposable, personal income, personal, income, real, and USA.

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