100+ datasets found
  1. Distribution of global income ranges in 2035, by region

    • statista.com
    Updated Apr 1, 2015
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    Statista (2015). Distribution of global income ranges in 2035, by region [Dataset]. https://www.statista.com/statistics/677212/distribution-of-global-income-ranges-in-2035-by-region/
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    Dataset updated
    Apr 1, 2015
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2015
    Area covered
    Worldwide
    Description

    This statistic shows the distribution of income worldwide in 2035 by region. By 2035, roughly *** million people in India are projected to earn between zero and ***** U.S. dollars annually.

  2. Global wealth distribution 2023, by region

    • statista.com
    • ai-chatbox.pro
    Updated Jun 16, 2025
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    Global wealth distribution 2023, by region [Dataset]. https://www.statista.com/statistics/1341660/global-wealth-distribution-region/
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    Dataset updated
    Jun 16, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2023
    Area covered
    Worldwide
    Description

    In 2023, the Middle East and North Africa, and Latin America were the regions with the lowest level of distribution of wealth worldwide, with the richest ten percent holding around ** percent of the total wealth. On the other hand, in Europe, the richest ten percent held around ** percent of the wealth. East and South Asia were the regions where the poorest half of the population held the highest share of the wealth, but still only around **** percent, underlining the high levels of wealth inequalities worldwide.

  3. w

    Income Distribution Database

    • data360.worldbank.org
    Updated Apr 18, 2025
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    (2025). Income Distribution Database [Dataset]. https://data360.worldbank.org/en/dataset/OECD_IDD
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    Dataset updated
    Apr 18, 2025
    Time period covered
    1974 - 2023
    Description

    The OECD Income Distribution database (IDD) has been developed to benchmark and monitor countries' performance in the field of income inequality and poverty. It contains a number of standardised indicators based on the central concept of "equivalised household disposable income", i.e. the total income received by the households less the current taxes and transfers they pay, adjusted for household size with an equivalence scale. While household income is only one of the factors shaping people's economic well-being, it is also the one for which comparable data for all OECD countries are most common. Income distribution has a long-standing tradition among household-level statistics, with regular data collections going back to the 1980s (and sometimes earlier) in many OECD countries.

    Achieving comparability in this field is a challenge, as national practices differ widely in terms of concepts, measures, and statistical sources. In order to maximise international comparability as well as inter-temporal consistency of data, the IDD data collection and compilation process is based on a common set of statistical conventions (e.g. on income concepts and components). The information obtained by the OECD through a network of national data providers, via a standardized questionnaire, is based on national sources that are deemed to be most representative for each country.

    Small changes in estimates between years should be treated with caution as they may not be statistically significant.

    Fore more details, please refer to: https://www.oecd.org/els/soc/IDD-Metadata.pdf and https://www.oecd.org/social/income-distribution-database.htm

  4. Replication dataset and calculations for PIIE WP 15-7, The Future of...

    • piie.com
    Updated Apr 1, 2015
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    Tomas Hellebrandt; Paolo Mauro (2015). Replication dataset and calculations for PIIE WP 15-7, The Future of Worldwide Income Distribution, by Tomas Hellebrandt and Paolo Mauro. (2015). [Dataset]. https://www.piie.com/publications/working-papers/future-worldwide-income-distribution
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    Dataset updated
    Apr 1, 2015
    Dataset provided by
    Peterson Institute for International Economicshttp://www.piie.com/
    Authors
    Tomas Hellebrandt; Paolo Mauro
    Description

    This data package includes the underlying data and files to replicate the calculations, charts, and tables presented in The Future of Worldwide Income Distribution, PIIE Working Paper 15-7. If you use the data, please cite as: Hellebrandt, Tomas, and Paolo Mauro. (2015). The Future of Worldwide Income Distribution. PIIE Working Paper 15-7. Peterson Institute for International Economics.

  5. Distribution of the global population by wealth range in 2022

    • statista.com
    • ai-chatbox.pro
    Updated Jun 16, 2025
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    Statista (2025). Distribution of the global population by wealth range in 2022 [Dataset]. https://www.statista.com/statistics/270388/distribution-of-the-global-population-by-wealth-status/
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    Dataset updated
    Jun 16, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2022
    Area covered
    Worldwide
    Description

    The massive wealth inequality in the world is underpinned by this chart: while just above *** percent of the world's population had fortunes of more than one million U.S. dollars in 2022, more than **** of the global population had a total wealth of less than 10,000 U.S. dollars.

  6. Turkey Annual Disposable Income Distribution: HH: CE Anatolia: Qntls: 4th

    • ceicdata.com
    Updated Jan 15, 2025
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    CEICdata.com (2025). Turkey Annual Disposable Income Distribution: HH: CE Anatolia: Qntls: 4th [Dataset]. https://www.ceicdata.com/en/turkey/annual-household-disposable-income-distribution-by-quintiles/annual-disposable-income-distribution-hh-ce-anatolia-qntls-4th
    Explore at:
    Dataset updated
    Jan 15, 2025
    Dataset provided by
    CEIC Data
    License

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

    Time period covered
    Dec 1, 2006 - Dec 1, 2016
    Area covered
    Türkiye
    Variables measured
    Household Income and Expenditure Survey
    Description

    Turkey Annual Disposable Income Distribution: HH: CE Anatolia: Qntls: 4th data was reported at 21.950 % in 2016. This records a decrease from the previous number of 22.900 % for 2015. Turkey Annual Disposable Income Distribution: HH: CE Anatolia: Qntls: 4th data is updated yearly, averaging 22.540 % from Dec 2006 (Median) to 2016, with 11 observations. The data reached an all-time high of 23.000 % in 2013 and a record low of 21.410 % in 2006. Turkey Annual Disposable Income Distribution: HH: CE Anatolia: Qntls: 4th data remains active status in CEIC and is reported by Turkish Statistical Institute. The data is categorized under Global Database’s Turkey – Table TR.H033: Annual Household Disposable Income Distribution: by Quintiles.

  7. United States US: Income Share Held by Highest 10%

    • ceicdata.com
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    CEICdata.com, United States US: Income Share Held by Highest 10% [Dataset]. https://www.ceicdata.com/en/united-states/poverty/us-income-share-held-by-highest-10
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    Dataset provided by
    CEIC Data
    License

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

    Time period covered
    Dec 1, 1979 - Dec 1, 2016
    Area covered
    United States
    Description

    United States US: Income Share Held by Highest 10% data was reported at 30.600 % in 2016. This records an increase from the previous number of 30.100 % for 2013. United States US: Income Share Held by Highest 10% data is updated yearly, averaging 30.100 % from Dec 1979 (Median) to 2016, with 11 observations. The data reached an all-time high of 30.600 % in 2016 and a record low of 25.300 % in 1979. United States US: Income Share Held by Highest 10% 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. Percentage share of income or consumption is the share that accrues to subgroups of population indicated by deciles or quintiles.; ; World Bank, Development Research Group. Data are based on primary household survey data obtained from government statistical agencies and World Bank country departments. Data for high-income economies are from the Luxembourg Income Study database. For more information and methodology, please see PovcalNet (http://iresearch.worldbank.org/PovcalNet/index.htm).; ; The World Bank’s internationally comparable poverty monitoring database now draws on income or detailed consumption data from more than one thousand six hundred household surveys across 164 countries in six regions and 25 other high income countries (industrialized economies). While income distribution data are published for all countries with data available, poverty data are published for low- and middle-income countries and countries eligible to receive loans from the World Bank (such as Chile) and recently graduated countries (such as Estonia) only. See PovcalNet (http://iresearch.worldbank.org/PovcalNet/WhatIsNew.aspx) for definitions of geographical regions and industrialized countries.

  8. N

    Income Distribution by Quintile: Mean Household Income in International...

    • neilsberg.com
    csv, json
    Updated Mar 3, 2025
    + more versions
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    Neilsberg Research (2025). Income Distribution by Quintile: Mean Household Income in International Falls, MN // 2025 Edition [Dataset]. https://www.neilsberg.com/insights/international-falls-mn-median-household-income/
    Explore at:
    json, csvAvailable download formats
    Dataset updated
    Mar 3, 2025
    Dataset authored and provided by
    Neilsberg Research
    License

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

    Area covered
    International Falls, Minnesota
    Variables measured
    Income Level, Mean Household Income
    Measurement technique
    The data presented in this dataset is derived from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. It delineates income distributions across income quintiles (mentioned above) following an initial analysis and categorization. Subsequently, we adjusted these figures for inflation using the Consumer Price Index retroactive series via current methods (R-CPI-U-RS). For additional information about these estimations, please contact us via email at research@neilsberg.com
    Dataset funded by
    Neilsberg Research
    Description
    About this dataset

    Context

    The dataset presents the mean household income for each of the five quintiles in International Falls, MN, as reported by the U.S. Census Bureau. The dataset highlights the variation in mean household income across quintiles, offering valuable insights into income distribution and inequality.

    Key observations

    • Income disparities: The mean income of the lowest quintile (20% of households with the lowest income) is 16,712, while the mean income for the highest quintile (20% of households with the highest income) is 180,382. This indicates that the top earners earn 11 times compared to the lowest earners.
    • *Top 5%: * The mean household income for the wealthiest population (top 5%) is 280,962, which is 155.76% higher compared to the highest quintile, and 1681.20% higher compared to the lowest quintile.
    Content

    When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

    Income Levels:

    • Lowest Quintile
    • Second Quintile
    • Third Quintile
    • Fourth Quintile
    • Highest Quintile
    • Top 5 Percent

    Variables / Data Columns

    • Income Level: This column showcases the income levels (As mentioned above).
    • Mean Household Income: Mean household income, in 2023 inflation-adjusted dollars for the specific income level.

    Good to know

    Margin of Error

    Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

    Custom data

    If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

    Inspiration

    Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

    Recommended for further research

    This dataset is a part of the main dataset for International Falls median household income. You can refer the same here

  9. Turkey Annual Disposable Income Distribution: HH: W Marmara: Qntls: Last

    • ceicdata.com
    • dr.ceicdata.com
    Updated Jan 15, 2025
    + more versions
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    CEICdata.com (2025). Turkey Annual Disposable Income Distribution: HH: W Marmara: Qntls: Last [Dataset]. https://www.ceicdata.com/en/turkey/annual-household-disposable-income-distribution-by-quintiles/annual-disposable-income-distribution-hh-w-marmara-qntls-last
    Explore at:
    Dataset updated
    Jan 15, 2025
    Dataset provided by
    CEIC Data
    License

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

    Time period covered
    Dec 1, 2006 - Dec 1, 2016
    Area covered
    Türkiye
    Variables measured
    Household Income and Expenditure Survey
    Description

    Turkey Annual Disposable Income Distribution: HH: W Marmara: Qntls: Last data was reported at 45.460 % in 2016. This records an increase from the previous number of 44.220 % for 2015. Turkey Annual Disposable Income Distribution: HH: W Marmara: Qntls: Last data is updated yearly, averaging 43.700 % from Dec 2006 (Median) to 2016, with 11 observations. The data reached an all-time high of 45.460 % in 2016 and a record low of 40.610 % in 2007. Turkey Annual Disposable Income Distribution: HH: W Marmara: Qntls: Last data remains active status in CEIC and is reported by Turkish Statistical Institute. The data is categorized under Global Database’s Turkey – Table TR.H033: Annual Household Disposable Income Distribution: by Quintiles.

  10. Worldwide wealth distribution by net worth of individuals 2023

    • statista.com
    Updated Jun 16, 2025
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    Statista (2025). Worldwide wealth distribution by net worth of individuals 2023 [Dataset]. https://www.statista.com/statistics/203930/global-wealth-distribution-by-net-worth/
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    Dataset updated
    Jun 16, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2023
    Area covered
    Worldwide
    Description

    In 2023, roughly 1.49 billion adults worldwide had a net worth of less than 10,000 U.S. dollars. By comparison, 58 million adults had a net worth of more than one million U.S. dollars in the same year. Wealth distribution The distribution of wealth is an indicator of economic inequality. The United Nations says that wealth includes the sum of natural, human, and physical assets. Wealth is not synonymous with income, however, because having a large income can be depleted if one has significant expenses. In 2023, nearly 1,700 billionaires had a total wealth between one to two billion U.S. dollars. Wealth worldwide China had the highest number of billionaires in 2023, with the United States following behind. That same year, New York had the most billionaires worldwide.

  11. World Development Indicators Data Package

    • johnsnowlabs.com
    csv
    Updated Jan 20, 2021
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    John Snow Labs (2021). World Development Indicators Data Package [Dataset]. https://www.johnsnowlabs.com/marketplace/world-development-indicators-data-package/
    Explore at:
    csvAvailable download formats
    Dataset updated
    Jan 20, 2021
    Dataset authored and provided by
    John Snow Labs
    Description

    This data package contains data on World Development Indicators on Population and Economy, Poverty and Shared Prosperity, People, Environment, Economy, States and Markets and Global links.

  12. o

    WPS 9673 - Death and Destitution : The Global Distribution of Welfare Losses...

    • data.opendata.am
    Updated Jul 7, 2023
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    (2023). WPS 9673 - Death and Destitution : The Global Distribution of Welfare Losses from the COVID-19 Pandemic - Dataset - Data Catalog Armenia [Dataset]. https://data.opendata.am/dataset/dcwb0037527
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    Dataset updated
    Jul 7, 2023
    Description

    The COVID-19 pandemic has brought about massive declines in well-being around the world. This paper seeks to quantify and compare two important components of those losses—increased mortality and higher poverty—using years of human life as a common metric. The paper estimates that almost 20 million life-years were lost to COVID-19 by December 2020. Over the same period and by the most conservative definition, more than 120 million additional years were spent in poverty because of the pandemic. The mortality burden, whether estimated in lives or years of life lost, increases sharply with gross domestic product per capita. By contrast, the poverty burden declines with per capita national income when a constant absolute poverty line is used, or is uncorrelated with national income when a more relative approach is taken to poverty lines. In both cases, the poverty burden of the pandemic, relative to the mortality burden, is much higher for poor countries. The distribution of aggregate welfare losses—combining mortality and poverty and expressed in terms of life-years —depends on the choice of poverty line(s) and the relative weights placed on mortality and poverty. With a constant absolute poverty line and a relatively low welfare weight on mortality, poorer countries are found to bear a greater welfare loss from the pandemic. When poverty lines are set differently for poor, middle-income, and high-income countries and/or a greater welfare weight is placed on mortality, upper-middle-income and rich countries suffer the most.

  13. N

    Median Household Income by Racial Categories in International Falls, MN...

    • neilsberg.com
    csv, json
    Updated Jan 3, 2024
    + more versions
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    Neilsberg Research (2024). Median Household Income by Racial Categories in International Falls, MN (2021, in 2022 inflation-adjusted dollars) [Dataset]. https://www.neilsberg.com/research/datasets/35dd371f-8904-11ee-9302-3860777c1fe6/
    Explore at:
    json, csvAvailable download formats
    Dataset updated
    Jan 3, 2024
    Dataset authored and provided by
    Neilsberg Research
    License

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

    Area covered
    International Falls, Minnesota
    Variables measured
    Median Household Income for Asian Population, Median Household Income for Black Population, Median Household Income for White Population, Median Household Income for Some other race Population, Median Household Income for Two or more races Population, Median Household Income for American Indian and Alaska Native Population, Median Household Income for Native Hawaiian and Other Pacific Islander Population
    Measurement technique
    The data presented in this dataset is derived from the latest U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates. To portray the median household income within each racial category idetified by the US Census Bureau, we conducted an initial analysis and categorization of the data. Subsequently, we adjusted these figures for inflation using the Consumer Price Index retroactive series via current methods (R-CPI-U-RS). It is important to note that the median household income estimates exclusively represent the identified racial categories and do not incorporate any ethnicity classifications. Households are categorized, and median incomes are reported based on the self-identified race of the head of the household. For additional information about these estimations, please contact us via email at research@neilsberg.com
    Dataset funded by
    Neilsberg Research
    Description
    About this dataset

    Context

    The dataset presents the median household income across different racial categories in International Falls. It portrays the median household income of the head of household across racial categories (excluding ethnicity) as identified by the Census Bureau. The dataset can be utilized to gain insights into economic disparities and trends and explore the variations in median houshold income for diverse racial categories.

    Key observations

    Based on our analysis of the distribution of International Falls population by race & ethnicity, the population is predominantly White. This particular racial category constitutes the majority, accounting for 93.51% of the total residents in International Falls. Notably, the median household income for White households is $56,123. Interestingly, White is both the largest group and the one with the highest median household income, which stands at $56,123.

    https://i.neilsberg.com/ch/international-falls-mn-median-household-income-by-race.jpeg" alt="International Falls median household income diversity across racial categories">

    Content

    When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

    Racial categories include:

    • White
    • Black or African American
    • American Indian and Alaska Native
    • Asian
    • Native Hawaiian and Other Pacific Islander
    • Some other race
    • Two or more races (multiracial)

    Variables / Data Columns

    • Race of the head of household: This column presents the self-identified race of the household head, encompassing all relevant racial categories (excluding ethnicity) applicable in International Falls.
    • Median household income: Median household income, adjusting for inflation, presented in 2022-inflation-adjusted dollars

    Good to know

    Margin of Error

    Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

    Custom data

    If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

    Inspiration

    Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

    Recommended for further research

    This dataset is a part of the main dataset for International Falls median household income by race. You can refer the same here

  14. GrowthRegimesandGVCs Excel Data file

    • figshare.com
    xlsx
    Updated May 5, 2021
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    Arpan Ganguly (2021). GrowthRegimesandGVCs Excel Data file [Dataset]. http://doi.org/10.6084/m9.figshare.14540928.v1
    Explore at:
    xlsxAvailable download formats
    Dataset updated
    May 5, 2021
    Dataset provided by
    Figsharehttp://figshare.com/
    Authors
    Arpan Ganguly
    License

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

    Description

    Data on value added trade, overall trade, economic growth and demand and distribution variables.

  15. Turkey Annual Disposable Income Distribution: HH: E Marmara: Qntls: 1st

    • ceicdata.com
    Updated Feb 15, 2025
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    CEICdata.com (2025). Turkey Annual Disposable Income Distribution: HH: E Marmara: Qntls: 1st [Dataset]. https://www.ceicdata.com/en/turkey/annual-household-disposable-income-distribution-by-quintiles/annual-disposable-income-distribution-hh-e-marmara-qntls-1st
    Explore at:
    Dataset updated
    Feb 15, 2025
    Dataset provided by
    CEIC Data
    License

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

    Time period covered
    Dec 1, 2006 - Dec 1, 2016
    Area covered
    Türkiye
    Variables measured
    Household Income and Expenditure Survey
    Description

    Turkey Annual Disposable Income Distribution: HH: E Marmara: Qntls: 1st data was reported at 7.250 % in 2017. This records a decrease from the previous number of 7.400 % for 2016. Turkey Annual Disposable Income Distribution: HH: E Marmara: Qntls: 1st data is updated yearly, averaging 7.390 % from Dec 2006 (Median) to 2017, with 12 observations. The data reached an all-time high of 8.200 % in 2011 and a record low of 6.690 % in 2006. Turkey Annual Disposable Income Distribution: HH: E Marmara: Qntls: 1st data remains active status in CEIC and is reported by Turkish Statistical Institute. The data is categorized under Global Database’s Turkey – Table TR.H033: Annual Household Disposable Income Distribution: by Quintiles.

  16. Gini Index - countries with the biggest inequality in income distribution...

    • statista.com
    Updated Jun 16, 2025
    + more versions
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    Statista (2025). Gini Index - countries with the biggest inequality in income distribution 2024 [Dataset]. https://www.statista.com/statistics/264627/ranking-of-the-20-countries-with-the-biggest-inequality-in-income-distribution/
    Explore at:
    Dataset updated
    Jun 16, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Worldwide
    Description

    South Africa had the highest inequality in income distribution in 2024, with a Gini score of **. Its South African neighbor, Namibia, followed in second. The Gini coefficient measures the deviation of income (or consumption) distribution among individuals or households within a country from a perfectly equal distribution. A value of 0 represents absolute equality, and a value of 100 represents absolute inequality. All the 20 most unequal countries in the world were either located in Africa or Latin America & The Caribbean.

  17. Global age distribution of internet users 2024, by country income level

    • statista.com
    • placemorph.top
    Updated Dec 12, 2024
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    Statista (2024). Global age distribution of internet users 2024, by country income level [Dataset]. https://www.statista.com/statistics/209099/internet-usage-age-distribution-global-income-level/
    Explore at:
    Dataset updated
    Dec 12, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2024
    Area covered
    Worldwide
    Description

    As of 2024, 99 percent of young people aged 15-24 living in high-income countries used the internet. Meanwhile, the percentage of internet users among the rest of the population of the countries in the same category was 93 percent. Upper-middle-income economies ranked second by the share of young people using the internet, 97 percent. In markets with low income, the percentage of 15-24 year-olds using the internet was the lowest, 43 percent.

  18. N

    Income Bracket Analysis by Age Group Dataset: Age-Wise Distribution of...

    • neilsberg.com
    csv, json
    Updated Feb 25, 2025
    + more versions
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    Neilsberg Research (2025). Income Bracket Analysis by Age Group Dataset: Age-Wise Distribution of International Falls, MN Household Incomes Across 16 Income Brackets // 2025 Edition [Dataset]. https://www.neilsberg.com/insights/international-falls-mn-median-household-income-by-age/
    Explore at:
    json, csvAvailable download formats
    Dataset updated
    Feb 25, 2025
    Dataset authored and provided by
    Neilsberg Research
    License

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

    Area covered
    International Falls, Minnesota
    Variables measured
    Number of households with income $200,000 or more, Number of households with income less than $10,000, Number of households with income between $15,000 - $19,999, Number of households with income between $20,000 - $24,999, Number of households with income between $25,000 - $29,999, Number of households with income between $30,000 - $34,999, Number of households with income between $35,000 - $39,999, Number of households with income between $40,000 - $44,999, Number of households with income between $45,000 - $49,999, Number of households with income between $50,000 - $59,999, and 6 more
    Measurement technique
    The data presented in this dataset is derived from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. It delineates income distributions across 16 income brackets (mentioned above) following an initial analysis and categorization. Using this dataset, you can find out the total number of households within a specific income bracket along with how many households with that income bracket for each of the 4 age cohorts (Under 25 years, 25-44 years, 45-64 years and 65 years and over). For additional information about these estimations, please contact us via email at research@neilsberg.com
    Dataset funded by
    Neilsberg Research
    Description
    About this dataset

    Context

    The dataset presents the the household distribution across 16 income brackets among four distinct age groups in International Falls: Under 25 years, 25-44 years, 45-64 years, and over 65 years. The dataset highlights the variation in household income, offering valuable insights into economic trends and disparities within different age categories, aiding in data analysis and decision-making..

    Key observations

    • Upon closer examination of the distribution of households among age brackets, it reveals that there are 214(7.54%) households where the householder is under 25 years old, 668(23.52%) households with a householder aged between 25 and 44 years, 967(34.05%) households with a householder aged between 45 and 64 years, and 991(34.89%) households where the householder is over 65 years old.
    • The age group of under 25 years exhibits the highest median household income, while the largest number of households falls within the 65 years and over bracket. This distribution hints at economic disparities within the city of International Falls, showcasing varying income levels among different age demographics.
    Content

    When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

    Income brackets:

    • Less than $10,000
    • $10,000 to $14,999
    • $15,000 to $19,999
    • $20,000 to $24,999
    • $25,000 to $29,999
    • $30,000 to $34,999
    • $35,000 to $39,999
    • $40,000 to $44,999
    • $45,000 to $49,999
    • $50,000 to $59,999
    • $60,000 to $74,999
    • $75,000 to $99,999
    • $100,000 to $124,999
    • $125,000 to $149,999
    • $150,000 to $199,999
    • $200,000 or more

    Variables / Data Columns

    • Household Income: This column showcases 16 income brackets ranging from Under $10,000 to $200,000+ ( As mentioned above).
    • Under 25 years: The count of households led by a head of household under 25 years old with income within a specified income bracket.
    • 25 to 44 years: The count of households led by a head of household 25 to 44 years old with income within a specified income bracket.
    • 45 to 64 years: The count of households led by a head of household 45 to 64 years old with income within a specified income bracket.
    • 65 years and over: The count of households led by a head of household 65 years and over old with income within a specified income bracket.

    Good to know

    Margin of Error

    Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

    Custom data

    If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

    Inspiration

    Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

    Recommended for further research

    This dataset is a part of the main dataset for International Falls median household income by age. You can refer the same here

  19. Turkey Annual Disposable Income Distribution: HH: NE Anatolia: Qntls: 1st

    • ceicdata.com
    Updated Jan 15, 2025
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    CEICdata.com (2025). Turkey Annual Disposable Income Distribution: HH: NE Anatolia: Qntls: 1st [Dataset]. https://www.ceicdata.com/en/turkey/annual-household-disposable-income-distribution-by-quintiles/annual-disposable-income-distribution-hh-ne-anatolia-qntls-1st
    Explore at:
    Dataset updated
    Jan 15, 2025
    Dataset provided by
    CEIC Data
    License

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

    Time period covered
    Dec 1, 2006 - Dec 1, 2016
    Area covered
    Türkiye
    Variables measured
    Household Income and Expenditure Survey
    Description

    Turkey Annual Disposable Income Distribution: HH: NE Anatolia: Qntls: 1st data was reported at 6.940 % in 2016. This records an increase from the previous number of 6.400 % for 2015. Turkey Annual Disposable Income Distribution: HH: NE Anatolia: Qntls: 1st data is updated yearly, averaging 6.400 % from Dec 2006 (Median) to 2016, with 11 observations. The data reached an all-time high of 6.940 % in 2016 and a record low of 5.670 % in 2008. Turkey Annual Disposable Income Distribution: HH: NE Anatolia: Qntls: 1st data remains active status in CEIC and is reported by Turkish Statistical Institute. The data is categorized under Global Database’s Turkey – Table TR.H033: Annual Household Disposable Income Distribution: by Quintiles.

  20. Turkey Annual Disposable Income Distribution: HH: Qntls: 2nd

    • ceicdata.com
    • dr.ceicdata.com
    Updated Jan 15, 2025
    Share
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    Click to copy link
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    CEICdata.com (2025). Turkey Annual Disposable Income Distribution: HH: Qntls: 2nd [Dataset]. https://www.ceicdata.com/en/turkey/annual-household-disposable-income-distribution-by-quintiles/annual-disposable-income-distribution-hh-qntls-2nd
    Explore at:
    Dataset updated
    Jan 15, 2025
    Dataset provided by
    CEIC Data
    License

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

    Time period covered
    Dec 1, 2006 - Dec 1, 2016
    Area covered
    Türkiye
    Variables measured
    Household Income and Expenditure Survey
    Description

    Turkey Annual Disposable Income Distribution: HH: Qntls: 2nd data was reported at 10.630 % in 2016. This records a decrease from the previous number of 10.850 % for 2015. Turkey Annual Disposable Income Distribution: HH: Qntls: 2nd data is updated yearly, averaging 10.900 % from Dec 2006 (Median) to 2016, with 11 observations. The data reached an all-time high of 11.090 % in 2010 and a record low of 10.470 % in 2006. Turkey Annual Disposable Income Distribution: HH: Qntls: 2nd data remains active status in CEIC and is reported by Turkish Statistical Institute. The data is categorized under Global Database’s Turkey – Table TR.H033: Annual Household Disposable Income Distribution: by Quintiles.

Share
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TwitterTwitter
Email
Click to copy link
Link copied
Close
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Statista (2015). Distribution of global income ranges in 2035, by region [Dataset]. https://www.statista.com/statistics/677212/distribution-of-global-income-ranges-in-2035-by-region/
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Distribution of global income ranges in 2035, by region

Explore at:
Dataset updated
Apr 1, 2015
Dataset authored and provided by
Statistahttp://statista.com/
Time period covered
2015
Area covered
Worldwide
Description

This statistic shows the distribution of income worldwide in 2035 by region. By 2035, roughly *** million people in India are projected to earn between zero and ***** U.S. dollars annually.

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