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.
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.
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
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.
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.
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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.
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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.
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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
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
Income Levels:
Variables / Data Columns
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.
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/.
This dataset is a part of the main dataset for International Falls median household income. You can refer the same here
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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.
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.
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.
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.
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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">
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:
Variables / Data Columns
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.
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/.
This dataset is a part of the main dataset for International Falls median household income by race. You can refer the same here
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Data on value added trade, overall trade, economic growth and demand and distribution variables.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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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.
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.
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.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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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
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
Income brackets:
Variables / Data Columns
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.
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/.
This dataset is a part of the main dataset for International Falls median household income by age. You can refer the same here
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
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.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
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.
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.