Finance:List of sovereign states by wealth inequality

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A map showing Gini coefficients for Wealth within countries for 2019.[1]

This is a list of countries by distribution of wealth, including Gini coefficients. Wealth distribution can vary greatly from income distribution in a country (see List of countries by income equality).

Higher Gini coefficients signify greater wealth inequality, with 0 being complete equality, whereas a value near 1 can arise if everybody has zero wealth except a very small minority.

Countries that have high-quality wealth taxes and honest reporting from financial institutions, such as the Netherlands and Norway , tend to have more reliable wealth inequality statistics.[2]

List

The table below is for 2008, 2018, 2019 and 2021. The GDP data is based on data from the World Bank.[3] The population data is based on data from the United Nations .[4] The Wealth Gini coefficients from 2008 are based on a working paper published by the National Bureau of Economic Research.[5] The Wealth Gini numbers come from the Global Wealth Databook 2018 by Credit Suisse.[6] Also the Gini Wealth coefficients for 2019[7] and 2021 are shown.[8]

* indicates "Wealth inequality in COUNTRY or TERRITORY" or "Income inequality in COUNTRY or TERRITORY" links.

Country Wealth Gini Population Nominal GDP GDP per capita
2008 2018 2019 2021 % of world (in millions) % of world
 World 0.804 0.904 0.885 0.889 Template:Worldpop 100 101,560,901 100 11,258
 Afghanistan N/A N/A 0.655 0.689 N/A N/A N/A N/A N/A
 Albania 0.642 0.629 0.637 0.686 Template:N+p Template:N+p 5,239
 Algeria 0.67 0.758 0.749 0.848 Template:N+p Template:N+p 4,115
 Angola N/A N/A 0.731 0.814 N/A N/A N/A N/A N/A
 ATG 0.747 0.838 0.823 0.813 Template:N+p Template:N+p 16,732
 Argentina 0.74 0.792 0.768 0.809 Template:N+p Template:N+p 11,719
 Armenia 0.684 0.645 0.663 0.731 Template:N+p Template:N+p 4,212
 Aruba N/A N/A 0.703 0.813 N/A N/A N/A N/A N/A
 Australia 0.622 0.658 0.656 0.662 Template:N+p Template:N+p 57,591
 Austria 0.646 0.764 0.739 0.742 Template:N+p Template:N+p 51,205
 Azerbaijan 0.678 0.643 0.654 0.726 Template:N+p Template:N+p 4,718
 Bahamas N/A N/A 0.828 0.895 N/A N/A N/A N/A N/A
 Bahrain N/A N/A 0.747 0.885 N/A N/A N/A N/A N/A
 BGD 0.66 0.671 0.678 0.754 Template:N+p Template:N+p 1,698
 BRB 0.706 0.788 0.778 0.805 Template:N+p Template:N+p 17,465
 Belarus 0.628 0.614 0.621 0.672 Template:N+p Template:N+p 6,312
 Belgium 0.662 0.659 0.603 0.599 Template:N+p Template:N+p 47,270
 BLZ 0.763 0.815 0.803 0.835 Template:N+p Template:N+p 4,884
 Benin 0.713 0.689 0.707 0.800 Template:N+p Template:N+p 902
 Bolivia 0.762 0.779 0.764 0.808 Template:N+p Template:N+p 3,646
 Bosnia and Herzegovina N/A N/A 0.642 0.692 Template:N+p Template:N+p 6,056
 BWA 0.751 0.783 0.8 0.879 Template:N+p Template:N+p 8,259
 Brazil 0.62 0.823 0.849 0.892 Template:N+p Template:N+p 8,921
 Brunei N/A N/A 0.787 0.897 N/A N/A N/A N/A N/A
 Bulgaria 0.652 0.647 0.659 0.702 Template:N+p Template:N+p 9,237
 BFA 0.728 0.674 0.688 0.790 Template:N+p Template:N+p 715
 BDI 0.699 0.654 0.681 0.703 Template:N+p Template:N+p 272
 KHM 0.714 0.704 0.718 0.783 Template:N+p Template:N+p 1,510
 Cameroon 0.711 0.725 0.743 0.833 Template:N+p Template:N+p 1,534
 Canada 0.688 0.726 0.728 0.726 Template:N+p Template:N+p 46,213
 CAF 0.782 0.768 0.777 0.845 Template:N+p Template:N+p 476
 TCD 0.681 0.715 0.73 0.776 Template:N+p Template:N+p 728
 Chile 0.777 0.773 0.798 0.794 Template:N+p Template:N+p 15,923
 China 0.55 0.714 0.702 0.701 Template:N+p Template:N+p 9,532
 Colombia 0.765 0.807 0.77 0.835 Template:N+p Template:N+p 6,666
 COM 0.711 0.766 0.783 0.861 Template:N+p Template:N+p 1,415
 Congo, Dem. Rep. N/A N/A 0.755 0.830 N/A N/A N/A N/A N/A
 Congo, Rep. N/A N/A 0.769 0.855 N/A N/A N/A N/A N/A
 Costa Rica 0.732 0.769 0.75 0.797 Template:N+p Template:N+p 12,027
 Croatia 0.654 0.631 0.645 0.702 Template:N+p Template:N+p 14,669
 Cyprus N/A N/A 0.801 0.791 N/A N/A N/A N/A N/A
 Czech Republic 0.626 0.758 0.725 0.776 Template:N+p Template:N+p 23,026
 Denmark 0.808 0.835 0.838 0.739 Template:N+p Template:N+p 61,834
 Djibouti N/A N/A 0.729 0.796 N/A N/A N/A N/A N/A
 DMA 0.763 0.84 0.823 0.813 Template:N+p Template:N+p 7,693
 Dominican Republic 0.723 N/A N/A N/A Template:N+p Template:N+p 8,051
 Ecuador 0.76 0.776 0.759 0.801 Template:N+p Template:N+p 6,345
 Egypt 0.689 0.909 0.756 0.793 Template:N+p Template:N+p 2,520
 El Salvador 0.746 0.759 0.743 0.812 Template:N+p Template:N+p 4,058
 GNQ 0.688 0.781 0.793 0.864 Template:N+p Template:N+p 10,262
 Eritrea N/A N/A 0.621 0.763 N/A N/A N/A N/A N/A
 Estonia 0.675 0.715 0.716 0.731 Template:N+p Template:N+p 23,231
 SWZ 0.78 N/A N/A N/A Template:N+p Template:N+p 4,146
 Ethiopia 0.652 0.612 0.62 0.723 Template:N+p Template:N+p 772
 FJI 0.709 0.694 0.702 0.785 Template:N+p Template:N+p 6,267
 Finland 0.615 0.767 0.742 0.744 Template:N+p Template:N+p 50,111
 France 0.73 0.687 0.696 0.702 Template:N+p Template:N+p 42,738
 Gabon 0.784 0.7 0.719 0.797 Template:N+p Template:N+p 7,953
 GMB 0.723 0.755 0.771 0.857 Template:N+p Template:N+p 796
 Georgia 0.725 0.678 0.687 0.817 Template:N+p Template:N+p 4,397
 Germany 0.667 0.816 0.816 0.788 Template:N+p Template:N+p 47,491
 Ghana 0.692 0.682 0.699 0.753 Template:N+p Template:N+p 2,202
 Greece 0.654 0.682 0.654 0.682 Template:N+p Template:N+p 20,721
 GRD 0.763 0.842 0.827 0.682 Template:N+p Template:N+p 10,642
 GTM 0.779 N/A N/A N/A Template:N+p Template:N+p 4,549
 GIN 0.693 0.716 0.741 0.816 Template:N+p Template:N+p 879
 GNB 0.71 0.697 0.712 0.780 Template:N+p Template:N+p 778
 GUY 0.707 0.75 0.734 0.769 Template:N+p Template:N+p 4,979
 HTI 0.755 0.82 0.801 0.799 Template:N+p Template:N+p 868
 HND 0.743 0.804 N/A N/A Template:N+p Template:N+p 2,500
 Hong Kong 0.740 N/A 0.777 0.738 Template:N+p Template:N+p 48,471
 Hungary 0.651 0.662 0.663 0.680 Template:N+p Template:N+p 16,264
 Iceland 0.664 0.731 0.694 0.649 Template:N+p Template:N+p 76,855
 India 0.669 0.854 0.832 0.823 Template:N+p Template:N+p 2,010
 Indonesia 0.764 0.84 0.833 0.782 Template:N+p Template:N+p 3,893
 Iran 0.707 0.705 0.705 0.792 Template:N+p Template:N+p 5,501
 Iraq N/A N/A 0.633 0.710 N/A N/A N/A N/A N/A
 Ireland 0.581 0.83 0.796 0.800 Template:N+p Template:N+p 102,394
 Israel 0.677 0.766 0.777 0.747 Template:N+p Template:N+p 44,215
 Italy 0.609 0.689 0.669 0.672 Template:N+p Template:N+p 34,372
 Ivory Coast 0.712 N/A N/A N/A Template:N+p Template:N+p 1,716
 Jamaica 0.686 0.788 0.775 0.822 Template:N+p Template:N+p 5,354
 Japan 0.547 0.631 0.626 0.647 Template:N+p Template:N+p 39,082
 Jordan 0.678 0.677 0.696 0.767 Template:N+p Template:N+p 4,238
 Kazakhstan 0.655 0.952 0.772 0.776 Template:N+p Template:N+p 9,790
 Kenya 0.699 0.732 0.745 0.826 Template:N+p Template:N+p 1,711
 Kuwait N/A N/A 0.763 0.862 N/A N/A N/A N/A N/A
 Kyrgyzstan 0.68 0.673 0.681 0.752 Template:N+p Template:N+p 1,267
 Laos N/A N/A 0.794 0.883 N/A N/A N/A N/A N/A
 Latvia 0.67 0.788 0.789 0.805 Template:N+p Template:N+p 17,843
 Lebanon 0.762 0.889 0.819 0.802 Template:N+p Template:N+p 8,257
 LSO 0.767 0.795 0.805 0.888 Template:N+p Template:N+p 1,299
 Liberia N/A N/A 0.727 0.806 N/A N/A N/A N/A N/A
 Libya N/A N/A 0.659 0.760 N/A N/A N/A N/A N/A
 Lithuania 0.666 0.655 0.663 0.720 Template:N+p Template:N+p 19,073
 Luxembourg 0.65 0.663 0.67 0.663 Template:N+p Template:N+p 117,312
 Macau 0.58 N/A N/A N/A Template:N+p Template:N+p 82,535
 MDG 0.722 0.702 0.722 0.821 Template:N+p Template:N+p 527
 Malawi 0.736 0.733 0.751 0.845 Template:N+p Template:N+p 389
 Malaysia 0.733 0.82 0.796 0.830 Template:N+p Template:N+p 11,373
Lua error in mw.title.lua at line 209: too many expensive function calls. N/A N/A 0.724 0.808 N/A N/A N/A N/A N/A
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See also

References

  1. ↑ "Global wealth databook 2019". https://www.credit-suisse.com/media/assets/corporate/docs/about-us/research/publications/global-wealth-databook-2019.pdf. 
  2. ↑ Zucman, Gabriel (March 2016). "State of the Union 2016: Wealth Inequality". https://inequality.stanford.edu/sites/default/files/Pathways-SOTU-2016-Wealth-Inequality-3.pdf. "Norway’s data are of the highest quality, as extensive information on most assets is collected for all Norwegians" 
  3. ↑ "Gross Domestic Product 2018". 2018. https://databank.worldbank.org/data/download/GDP.pdf. 
  4. ↑ "World Population Prospects, the 2019 revision". June 2019. https://population.un.org/wpp/Download/Files/1_Indicators%20(Standard)/EXCEL_FILES/1_Population/WPP2,019_POP_F01_1_TOTAL_POPULATION_BOTH_SEXES.xlsx. 
  5. ↑ The Level and Distribution of Global Household Wealth. April 2008. By James B. Davies, Susanna Sandström, Anthony Shorrocks, and Edward N. Wolff.
  6. ↑ "Global Wealth Databook 2018". https://www.credit-suisse.com/media/assets/corporate/docs/about-us/research/publications/global-wealth-databook-2018.pdf. 
  7. ↑ "Global Wealth Databook 2019". https://www.credit-suisse.com/media/assets/corporate/docs/about-us/research/publications/global-wealth-databook-2019.pdf. 
  8. ↑ "Global Wealth Databook 2021". https://www.credit-suisse.com/media/assets/corporate/docs/about-us/research/publications/global-wealth-databook-2022.pdf. 

External links



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