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]
This section's factual accuracy is disputed .(February 2024) |
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 UN. [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 for 2018, 2019, and 2021 come from the Global Wealth Databook by Credit Suisse. [6] [7] [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 | 8,120,049,000 | 100 | 101,560,901 | 100 | 11,258 |
Afghanistan | — | — | 0.655 | 0.689 | — | — | — | — | — |
Albania | 0.642 | 0.629 | 0.637 | 0.686 | 2,882,740 | 0.036 | 15,103 | 0.014 | 5,239 |
Algeria | 0.67 | 0.758 | 0.749 | 0.848 | 42,228,420 | 0.52 | 0.55 | 00 | 4,115 |
Angola | — | — | 0.731 | 0.814 | — | — | — | — | — |
Antigua and Barbuda | 0.747 | 0.838 | 0.823 | 0.813 | 96,280 | 0.0012 | 1,611 | 0.0015 | 16,732 |
Argentina * | 0.74 | 0.792 | 0.768 | 0.809 | 44,361,150 | 0.55 | 0.58 | 0 | 11,719 |
Armenia | 0.684 | 0.645 | 0.663 | 0.731 | 2,951,740 | 0.036 | 12,433 | 0.011 | 4,212 |
Aruba | — | — | 0.703 | 0.813 | — | — | — | — | — |
Australia | 0.622 | 0.658 | 0.656 | 0.662 | 24,898,150 | 0.31 | 1,433,904 | 1.3 | 57,591 |
Austria | 0.646 | 0.764 | 0.739 | 0.742 | 8,891,380 | 0.11 | 455,286 | 0.42 | 51,205 |
Azerbaijan | 0.678 | 0.643 | 0.654 | 0.726 | 9,949,540 | 0.12 | 46,940 | 0.043 | 4,718 |
Bahamas | — | — | 0.828 | 0.895 | — | — | — | — | — |
Bahrain | — | — | 0.747 | 0.885 | — | — | — | — | — |
Bangladesh | 0.66 | 0.671 | 0.678 | 0.754 | 161,376,710 | 2.0 | 416,300 | 0.38 | 1,698 |
Barbados | 0.706 | 0.788 | 0.778 | 0.805 | 285,720 | 0.0035 | 4,990 | 0.0046 | 17,465 |
Belarus | 0.628 | 0.614 | 0.621 | 0.672 | 9,452,620 | 0.12 | 59,662 | 0.054 | 6,312 |
Belgium | 0.662 | 0.659 | 0.603 | 0.599 | 11,482,180 | 0.14 | 542,761 | 0.50 | 47,270 |
Belize | 0.763 | 0.815 | 0.803 | 0.835 | 383,070 | 0.0047 | 1,871 | 0.0017 | 4,884 |
Benin | 0.713 | 0.689 | 0.707 | 0.800 | 11,485,040 | 0.14 | 10,354 | 0.0095 | 902 |
Bolivia | 0.762 | 0.779 | 0.764 | 0.808 | 11,050,000 | 0.14 | 40,288 | 0.037 | 3,646 |
Bosnia and Herzegovina | — | — | 0.642 | 0.692 | 3,301 | 0 | 21,023 | 0.019 | 6,056 |
Botswana | 0.751 | 0.783 | 0.8 | 0.879 | 2,254.07 | 0 | 18,616 | 0.017 | 8,259 |
Brazil * | 0.62 | 0.823 | 0.849 | 0.892 | 209,469,320 | 2.6 | 2.74 | 0 | 8,921 |
Brunei | — | — | 0.787 | 0.897 | — | — | — | — | — |
Bulgaria | 0.652 | 0.647 | 0.659 | 0.702 | 7,051,610 | 0.087 | 65,133 | 0.059 | 9,237 |
Burkina Faso | 0.728 | 0.674 | 0.688 | 0.790 | 19,751,470 | 0.24 | 14,125 | 0.013 | 715 |
Burundi | 0.699 | 0.654 | 0.681 | 0.703 | 11,175,380 | 0.14 | 3,037 | 0.0028 | 272 |
Cambodia | 0.714 | 0.704 | 0.718 | 0.783 | 16,249,800 | 0.20 | 24,542 | 0.022 | 1,510 |
Cameroon | 0.711 | 0.725 | 0.743 | 0.833 | 25,216,260 | 0.31 | 38,675 | 0.035 | 1,534 |
Canada | 0.688 | 0.726 | 0.728 | 0.726 | 37,074,560 | 0.46 | 1,713,342 | 1.6 | 46,213 |
Central African Republic | 0.782 | 0.768 | 0.777 | 0.845 | 4,666,380 | 0.057 | 2,220 | 0.0020 | 476 |
Chad | 0.681 | 0.715 | 0.73 | 0.776 | 15,477,730 | 0.19 | 0.2 | 0 | 728 |
Chile | 0.777 | 0.773 | 0.798 | 0.794 | 18,729,170 | 0.23 | 331,250 | 0.30 | 15,923 |
China * | 0.55 | 0.714 | 0.702 | 0.701 | 1,427,647,790 | 18 | 15,710,960 | 14 | 9,532 |
Colombia * | 0.765 | 0.807 | 0.77 | 0.835 | 49,661,060 | 0.61 | 0.65 | 0 | 6,666 |
Comoros | 0.711 | 0.766 | 0.783 | 0.861 | 832,320 | 0.010 | 1,178 | 0.0011 | 1,415 |
DR Congo | — | — | 0.755 | 0.830 | — | — | — | — | — |
Congo | — | — | 0.769 | 0.855 | — | — | — | — | — |
Costa Rica | 0.732 | 0.769 | 0.75 | 0.797 | 4,999,440 | 0.062 | 0.07 | 0 | 12,027 |
Croatia | 0.654 | 0.631 | 0.645 | 0.702 | 4,156,410 | 0.051 | 60,972 | 0.056 | 14,669 |
Cyprus | — | — | 0.801 | 0.791 | — | — | — | — | — |
Czech Republic | 0.626 | 0.758 | 0.725 | 0.776 | 10,649,800 | 0.13 | 245,226 | 0.22 | 23,026 |
Denmark * | 0.808 | 0.835 | 0.838 | 0.739 | 5,752,130 | 0.071 | 355,675 | 0.32 | 61,834 |
Djibouti | — | — | 0.729 | 0.796 | — | — | — | — | — |
Dominica | 0.763 | 0.84 | 0.823 | 0.813 | 71,630 | 0.00088 | 0 | 0 | 7,693 |
Dominican Republic | 0.723 | — | — | — | 10,627.15 | 0.00013 | 85,555 | 0.078 | 8,051 |
Ecuador * | 0.76 | 0.776 | 0.759 | 0.801 | 17,084,360 | 0.21 | 0.22 | 00 | 6,345 |
Egypt | 0.689 | 0.909 | 0.756 | 0.793 | 99,581,200 | 1.2 | 250,895 | 0.23 | 2,520 |
El Salvador | 0.746 | 0.759 | 0.743 | 0.812 | 6,420,740 | 0.079 | 26,057 | 0.024 | 4,058 |
Equatorial Guinea | 0.688 | 0.781 | 0.793 | 0.864 | 1,308,970 | 0.016 | 13,432 | 0.012 | 10,262 |
Eritrea | — | — | 0.621 | 0.763 | — | — | — | — | — |
Estonia | 0.675 | 0.715 | 0.716 | 0.731 | 1,322,910 | 0.016 | 30,732 | 0.028 | 23,231 |
Eswatini | 0.78 | — | — | — | 1,136.27 | 0 | 4,711 | 0.0043 | 4,146 |
Ethiopia | 0.652 | 0.612 | 0.62 | 0.723 | 109,224,410 | 1.3 | 1.43 | 0 | 772 |
Fiji | 0.709 | 0.694 | 0.702 | 0.785 | 883,490 | 0.011 | 5,537 | 0.0051 | 6,267 |
Finland | 0.615 | 0.767 | 0.742 | 0.744 | 5,522,590 | 0.068 | 276,743 | 0.25 | 50,111 |
France * | 0.73 | 0.687 | 0.696 | 0.702 | 64,990,510 | 0.80 | 3,135,267 | 2.9 | 42,738 |
Gabon | 0.784 | 0.7 | 0.719 | 0.797 | 2,119.28 | 0 | 16,854 | 0.015 | 7,953 |
Gambia | 0.723 | 0.755 | 0.771 | 0.857 | 2,051,360 | 0.025 | 1,633 | 0.0015 | 796 |
Georgia | 0.725 | 0.678 | 0.687 | 0.817 | 4,002,950 | 0.049 | 17,600 | 0.016 | 4,397 |
Germany * | 0.667 | 0.816 | 0.816 | 0.788 | 83,124,410 | 1.0 | 3,947,620 | 3.6 | 47,491 |
Ghana | 0.692 | 0.682 | 0.699 | 0.753 | 29,767,110 | 0.37 | 65,556 | 0.060 | 2,202 |
Greece | 0.654 | 0.682 | 0.654 | 0.682 | 10,522,240 | 0.13 | 218,032 | 0.20 | 20,721 |
Grenada | 0.763 | 0.842 | 0.827 | 0.682 | 111,450 | 0.0014 | 1,186 | 0.0011 | 10,642 |
Guatemala * | 0.779 | — | — | — | 17,247.86 | 0.00021 | 78,460 | 0.072 | 4,549 |
Guinea | 0.693 | 0.716 | 0.741 | 0.816 | 12,414,290 | 0.15 | 10,907 | 0.0100 | 879 |
Guinea-Bissau | 0.71 | 0.697 | 0.712 | 0.780 | 1,874,300 | 0.023 | 0.02 | 0 | 778 |
Guyana | 0.707 | 0.75 | 0.734 | 0.769 | 779,010 | 0.0096 | 0.01 | 9.1×10−9 | 4,979 |
Haiti | 0.755 | 0.82 | 0.801 | 0.799 | 11,123,180 | 0.14 | 0.15 | 0 | 868 |
Honduras * | 0.743 | 0.804 | — | — | 9,587.52 | 0.00012 | 23,970 | 0.022 | 2,500 |
Hong Kong | 0.740 | — | 0.777 | 0.738 | 7,482.5 | 0 | 362,682 | 0.33 | 48,471 |
Hungary * | 0.651 | 0.662 | 0.663 | 0.680 | 9,707,500 | 0.12 | 157,883 | 0.14 | 16,264 |
Iceland | 0.664 | 0.731 | 0.694 | 0.649 | 336,710 | 0.0041 | 25,878 | 0.024 | 76,855 |
India * | 0.669 | 0.854 | 0.832 | 0.823 | 1,352,642,280 | 17 | 2,718,732 | 2.5 | 2,010 |
Indonesia * | 0.764 | 0.84 | 0.833 | 0.782 | 267,670,550 | 3.3 | 3.51 | 0 | 3,893 |
Iran | 0.707 | 0.705 | 0.705 | 0.792 | 82,531,700 | 1.0 | 454,013 | 0.41 | 5,501 |
Iraq | — | — | 0.633 | 0.710 | — | — | — | — | — |
Ireland | 0.581 | 0.83 | 0.796 | 0.800 | 4,818,690 | 0.059 | 511,458 | 0.47 | 102,394 |
Israel | 0.677 | 0.766 | 0.777 | 0.747 | 8,381,510 | 0.10 | 370,588 | 0.34 | 44,215 |
Italy | 0.609 | 0.689 | 0.669 | 0.672 | 60,627,290 | 0.75 | 2,083,864 | 1.9 | 34,372 |
Ivory Coast | 0.712 | — | — | — | 25,069.23 | 0.00031 | 43,007 | 0.039 | 1,716 |
Jamaica | 0.686 | 0.788 | 0.775 | 0.822 | 2,934,850 | 0.036 | 15,714 | 0.014 | 5,354 |
Japan | 0.547 | 0.631 | 0.626 | 0.647 | 127,202,190 | 1.6 | 4,971,323 | 4.5 | 39,082 |
Jordan | 0.678 | 0.677 | 0.696 | 0.767 | 9,965,320 | 0.12 | 42,231 | 0.039 | 4,238 |
Kazakhstan | 0.655 | 0.952 | 0.772 | 0.776 | 18,319,620 | 0.23 | 179,340 | 0.16 | 9,790 |
Kenya | 0.699 | 0.732 | 0.745 | 0.826 | 51,392,570 | 0.63 | 87,908 | 0.080 | 1,711 |
Kuwait | — | — | 0.763 | 0.862 | — | — | — | — | — |
Kyrgyzstan | 0.68 | 0.673 | 0.681 | 0.752 | 6,389,500 | 0.079 | 0.08 | 0 | 1,267 |
Laos | — | — | 0.794 | 0.883 | — | — | — | — | — |
Latvia | 0.67 | 0.788 | 0.789 | 0.805 | 1,928,460 | 0.024 | 0.03 | 0 | 17,843 |
Lebanon * | 0.762 | 0.889 | 0.819 | 0.802 | 6,859,410 | 0.084 | 56,639 | 0.052 | 8,257 |
Lesotho | 0.767 | 0.795 | 0.805 | 0.888 | 2,108,330 | 0.026 | 2,739 | 0.0025 | 1,299 |
Liberia | — | — | 0.727 | 0.806 | — | — | — | — | — |
Libya | — | — | 0.659 | 0.760 | — | — | — | — | — |
Lithuania | 0.666 | 0.655 | 0.663 | 0.720 | 2,801,270 | 0.034 | 53,429 | 0.049 | 19,073 |
Luxembourg | 0.65 | 0.663 | 0.67 | 0.663 | 604,240 | 0.0074 | 0.01 | 9.1×10−9 | 117,312 |
Macau | 0.58 | — | — | — | 667.4 | 0 | 55,084 | 0.050 | 82,535 |
Madagascar | 0.722 | 0.702 | 0.722 | 0.821 | 26,262,310 | 0.32 | 13,853 | 0.013 | 527 |
Malawi | 0.736 | 0.733 | 0.751 | 0.845 | 18,143,220 | 0.22 | 7,065 | 0.0065 | 389 |
Malaysia * | 0.733 | 0.82 | 0.796 | 0.830 | 31,528,030 | 0.39 | 0.41 | 0 | 11,373 |
Maldives * | — | — | 0.724 | 0.808 | — | — | — | — | — |
Mali | 0.75 | 0.682 | 0.707 | 0.800 | 19,077,760 | 0.23 | 0.25 | 0 | 900 |
Malta | 0.664 | 0.631 | 0.64 | 0.611 | 439,260 | 0.0054 | 20,331 | 0.019 | 33,131 |
Mauritania | 0.686 | 0.667 | 0.681 | 0.758 | 4,403,310 | 0.054 | 5,235 | 0.0048 | 1,189 |
Mauritius | 0.661 | 0.64 | 0.662 | 0.716 | 1,267,180 | 0.016 | 0.02 | 0 | 11,222 |
Mexico * | 0.749 | 0.8 | 0.777 | 0.804 | 126,190.78 | 0.0016 | 1,220,699 | 1.1 | 9,673 |
Moldova | — | — | 0.645 | 0.691 | — | — | — | — | — |
Mongolia | — | — | 0.668 | 0.742 | — | — | — | — | — |
Montenegro | — | — | 0.648 | 0.681 | — | — | — | — | — |
Morocco | 0.69 | 0.802 | 0.766 | 0.824 | 36,029,090 | 0.44 | 0.47 | 0 | 3,273 |
Mozambique | 0.689 | 0.7 | 0.716 | 0.750 | 29,496 | 0.00036 | 14,717 | 0.013 | 499 |
Myanmar | — | — | 0.597 | 0.680 | — | — | — | — | — |
Namibia | 0.847 | 0.776 | 0.788 | 0.868 | 2,448,300 | 0.030 | 14,522 | 0.013 | 5,931 |
Nepal | — | — | 0.71 | 0.788 | — | — | — | — | — |
Netherlands * | 0.65 | 0.789 | 0.902 | 0.750 | 17,059,560 | 0.21 | 912,242 | 0.83 | 53,557 |
New Zealand * | 0.651 | 0.708 | 0.672 | 0.700 | 4,743,130 | 0.058 | 204,924 | 0.19 | 43,204 |
Nicaragua | 0.755 | 0.778 | 0.759 | 0.813 | 6,465,500 | 0.080 | 13,118 | 0.012 | 2,029 |
Niger | 0.729 | 0.66 | 0.682 | 0.738 | 22,442,830 | 0.28 | 0.29 | 0 | 414 |
Nigeria | 0.729 | 0.894 | 0.809 | 0.860 | 195,874,690 | 2.4 | 397,270 | 0.36 | 2,028 |
North Macedonia | 0.661 | 0.655 | — | — | 2,082.96 | 0 | 12,672 | 0.012 | 6,084 |
Norway | 0.633 | 0.791 | 0.798 | 0.794 | 5,337,960 | 0.066 | 434,167 | 0.40 | 81,336 |
Oman | — | — | 0.786 | 0.880 | — | — | — | — | — |
Pakistan | 0.698 | 0.65 | 0.665 | 0.740 | 212,228,290 | 2.6 | 2.78 | 0 | 1,482 |
Panama | 0.766 | 0.795 | 0.78 | 0.819 | 4,176,870 | 0.051 | 0.05 | 0 | 15,575 |
Papua New Guinea | 0.738 | 0.76 | 0.766 | 0.843 | 8,606,320 | 0.11 | 0.11 | 00 | 2,730 |
Paraguay | 0.766 | 0.785 | 0.768 | 0.815 | 6,956,070 | 0.086 | 40,497 | 0.037 | 5,822 |
Peru | 0.738 | 0.795 | 0.788 | 0.800 | 31,989,270 | 0.39 | 222,045 | 0.20 | 6,941 |
Philippines * | 0.717 | 0.826 | 0.837 | 0.873 | 106,651,390 | 1.3 | 330,910 | 0.30 | 3,103 |
Poland * | 0.657 | 0.722 | 0.677 | 0.716 | 37,921,590 | 0.47 | 585,664 | 0.53 | 15,444 |
Portugal | 0.667 | 0.736 | 0.692 | 0.706 | 10,256,190 | 0.13 | 240,675 | 0.22 | 23,466 |
Puerto Rico | 0.753 | — | — | — | 3,039.6 | 0 | 101,131 | 0.092 | 33,271 |
Qatar | — | — | 0.633 | 0.586 | — | — | — | — | — |
Romania | 0.651 | 0.728 | 0.647 | 0.696 | 19,506,110 | 0.24 | 239,553 | 0.22 | 12,281 |
Russia * | 0.699 | 0.875 | 0.879 | 0.880 | 146,801,930 | 1.8 | 1,657,555 | 1.5 | 11,291 |
Rwanda | 0.714 | 0.728 | 0.742 | 0.818 | 12,301,970 | 0.15 | 9,509 | 0.0087 | 773 |
Samoa | — | — | 0.747 | 0.777 | — | — | — | — | — |
São Tomé and Príncipe | — | — | 0.674 | 0.734 | — | — | — | — | — |
Saudi Arabia | 0.737 | 0.81 | 0.834 | 0.864 | 33,702,760 | 0.42 | 0.44 | 00 | 23,337 |
Senegal | 0.697 | 0.705 | 0.726 | 0.797 | 15,854,320 | 0.20 | 24,130 | 0.022 | 1,522 |
Serbia | — | — | 0.676 | 0.713 | 6,963.76 | 0 | 55,437 | 0.051 | 7,992 |
Seychelles | 0.76 | 0.679 | 0.704 | 0.760 | 97,090 | 0.0012 | 0 | 0 | 16,376 |
Sierra Leone | 0.687 | 0.671 | 0.694 | 0.732 | 7,650,150 | 0.094 | 4,085 | 0.0037 | 534 |
Singapore * | 0.689 | 0.758 | 0.757 | 0.788 | 5,757,500 | 0.071 | 364,157 | 0.33 | 63,249 |
Slovakia | 0.629 | 0.498 | 0.498 | 0.505 | 5,453,020 | 0.067 | 105,905 | 0.097 | 19,421 |
Slovenia | 0.626 | 0.646 | 0.662 | 0.652 | 2,077,840 | 0.026 | 54,008 | 0.049 | 25,992 |
Solomon Islands | — | — | 0.7 | 0.814 | — | — | — | — | — |
South Africa * | 0.763 | 0.806 | 0.806 | 0.886 | 57,792,520 | 0.71 | 368,289 | 0.34 | 6,373 |
South Korea * | 0.579 | 0.67 | 0.606 | 0.682 | 51,709,100 | 0.64 | 1,823,852 | 1.7 | 35,196 |
Spain | 0.57 | 0.697 | 0.694 | 0.691 | 46,692,860 | 0.58 | 0.61 | 0 | 30,391 |
Sri Lanka | 0.665 | 0.687 | 0.7 | 0.770 | 21,228.76 | 0.00026 | 88,901 | 0.081 | 4,188 |
Saint Lucia | — | — | 0.728 | 0.813 | — | — | — | — | — |
Saint Vincent and the Grenadines | — | — | 0.818 | 0.813 | — | — | — | — | — |
Sudan | — | — | 0.687 | — | — | — | — | — | — |
Suriname | — | — | 0.832 | 0.886 | — | — | — | — | — |
Sweden * | 0.742 | 0.865 | 0.867 | 0.881 | 9,971,630 | 0.12 | 556,086 | 0.51 | 55,767 |
Switzerland | 0.803 | 0.741 | 0.705 | 0.772 | 8,570,150 | 0.11 | 705,140 | 0.64 | 82,279 |
Syria | — | — | 0.699 | 0.778 | — | — | — | — | — |
Taiwan | — | — | 0.751 | 0.707 | — | — | — | — | — |
Tajikistan | — | — | 0.656 | 0.728 | — | — | — | — | — |
Tanzania | 0.676 | 0.65 | 0.661 | 0.744 | 56,313,440 | 0.69 | 0.74 | 0 | 1,030 |
Thailand * | 0.71 | 0.902 | 0.846 | 0.771 | 69,428,450 | 0.86 | 0.91 | 0 | 7,274 |
East Timor | — | — | 0.565 | 0.627 | — | — | — | — | — |
Togo | 0.711 | 0.719 | 0.734 | 0.815 | 7,889,100 | 0.097 | 5,359 | 0.0049 | 679 |
Tonga | — | — | 0.682 | 0.777 | — | — | — | — | — |
Trinidad and Tobago | 0.689 | 0.748 | 0.732 | 0.757 | 1,389,840 | 0.017 | 23,808 | 0.022 | 17,130 |
Tunisia | 0.693 | 0.683 | 0.705 | 0.780 | 11,565,200 | 0.14 | 39,871 | 0.036 | 3,447 |
Turkey | 0.718 | 0.871 | 0.794 | 0.810 | 82,340,090 | 1.0 | 771,350 | 0.70 | 9,368 |
Turkmenistan | — | — | 0.63 | 0.705 | — | — | — | — | — |
Uganda | 0.723 | 0.714 | 0.729 | 0.828 | 42,729,030 | 0.53 | 27,461 | 0.025 | 643 |
Ukraine | 0.667 | 0.955 | 0.847 | 0.834 | 44,246,160 | 0.54 | 130,832 | 0.12 | 2,957 |
United Arab Emirates | — | — | 0.796 | 0.885 | — | — | — | — | — |
United Kingdom * | 0.697 | 0.747 | 0.746 | 0.706 | 67,141,680 | 0.83 | 2,855,297 | 2.6 | 42,526 |
United States * | 0.801 | 0.852 | 0.852 | 0.850 | 327,096,260 | 4.0 | 20,544,343 | 19 | 62,808 |
Uruguay | 0.708 | 0.741 | 0.721 | 0.774 | 3,449,290 | 0.042 | 59,597 | 0.054 | 17,278 |
Vanuatu | — | — | 0.688 | 0.814 | — | — | — | — | — |
Venezuela | — | — | 0.743 | 0.778 | — | — | — | — | — |
Vietnam | 0.682 | 0.708 | 0.761 | 0.797 | 95,545,960 | 1.2 | 245,214 | 0.22 | 2,566 |
Yemen | 0.613 | 0.801 | 0.798 | 0.883 | 28,498,680 | 0.35 | 26,914 | 0.025 | 944 |
Zambia | 0.766 | 0.787 | 0.798 | 0.886 | 17,351,710 | 0.21 | 26,720 | 0.024 | 1,540 |
Zimbabwe | 0.845 | 0.707 | 0.719 | 0.797 | 14,438,810 | 0.18 | 31,001 | 0.028 | 2,147 |
In economics, the Gini coefficient, also known as the Gini index or Gini ratio, is a measure of statistical dispersion intended to represent the income inequality, the wealth inequality, or the consumption inequality within a nation or a social group. It was developed by Italian statistician and sociologist Corrado Gini.
In economics, the Lorenz curve is a graphical representation of the distribution of income or of wealth. It was developed by Max O. Lorenz in 1905 for representing inequality of the wealth distribution.
Wealth is the abundance of valuable financial assets or physical possessions which can be converted into a form that can be used for transactions. This includes the core meaning as held in the originating Old English word weal, which is from an Indo-European word stem. The modern concept of wealth is of significance in all areas of economics, and clearly so for growth economics and development economics, yet the meaning of wealth is context-dependent. A person possessing a substantial net worth is known as wealthy. Net worth is defined as the current value of one's assets less liabilities.
In economics, income distribution covers how a country's total GDP is distributed amongst its population. Economic theory and economic policy have long seen income and its distribution as a central concern. Unequal distribution of income causes economic inequality which is a concern in almost all countries around the world.
Income inequality metrics or income distribution metrics are used by social scientists to measure the distribution of income and economic inequality among the participants in a particular economy, such as that of a specific country or of the world in general. While different theories may try to explain how income inequality comes about, income inequality metrics simply provide a system of measurement used to determine the dispersion of incomes. The concept of inequality is distinct from poverty and fairness.
The distribution of wealth is a comparison of the wealth of various members or groups in a society. It shows one aspect of economic inequality or economic heterogeneity.
International inequality refers to inequality between countries, as compared to global inequality, which is inequality between people across countries. International inequality research has primarily been concentrated on the rise of international income inequality, but other aspects include educational and health inequality, as well as differences in medical access. Reducing inequality within and among countries is the 10th goal of the UN Sustainable Development Goals and ensuring that no one is left behind is central to achieving them. Inequality can be measured by metrics such as the Gini coefficient.
Income inequality has fluctuated considerably in the United States since measurements began around 1915, moving in an arc between peaks in the 1920s and 2000s, with a 30-year period of relatively lower inequality between 1950 and 1980.
Income in India discusses the financial state in India. With rising economic growth and prosperity, India's income is also rising rapidly. As an overview, India's per capita net national income or NNI was around Rs. 98,374 in 2022-23. The per-capita income is a crude indicator of the prosperity of a country. In contrast, the gross national income at constant prices stood at over 128 trillion rupees. The same year, GRI growth rate at constant prices was around 6.6 percent. While GNI and NNI are both indicators for a country's economic performance and welfare, the GNI is related to the GDP or the Gross Domestic Product 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.
Social inequality occurs when resources within a society are distributed unevenly, often as a result of inequitable allocation practices that create distinct unequal patterns based on socially defined categories of people. Differences in accessing social goods within society are influenced by factors like power, religion, kinship, prestige, race, ethnicity, gender, age, sexual orientation, intelligence and class. Social inequality usually implies the lack of equality of outcome, but may alternatively be conceptualized as a lack of equality in access to opportunity.
The inequality of wealth has substantially increased in the United States in recent decades. Wealth commonly includes the values of any homes, automobiles, personal valuables, businesses, savings, and investments, as well as any associated debts.
World distribution of wealth is the distribution of how wealth is distributed around the world. The guideline for categorizing the data is to organize it based on the continent on which the people with wealth reside.
Anthony F. Shorrocks is a British development economist.
Income inequality in India refers to the unequal distribution of wealth and income among its citizens. According to the CIA World Factbook, the Gini coefficient of India, which is a measure of income distribution inequality, was 35.2 in 2011, ranking 95th out of 157. Wealth distribution is also uneven, with one report estimating that 54% of the country's wealth is controlled by millionaires, the second highest after Russia, as of November 2016. The richest 1% of Indians own 58% of wealth, while the richest 10% of Indians own 80% of the wealth. This trend has consistently increased, meaning the rich are getting richer much faster than the poor, widening the income gap. Inequality worsened since the establishment of income tax in 1922, overtaking the British Raj's record of the share of the top 1% in national income, which was 20.7% in 1939–40. According to Oxfam India's report of 2023, "Survival of the Richest: India Story," just 5 per cent of Indians own more than 60 per cent of the country's wealth, while the bottom 50 per cent of the population possess only 3 per cent of the wealth. It also says that between 2012 and 2021, 40% of wealth generated in India has gone to just 1% of the total population and 3% of the wealth has gone to bottom 50%. The number of hungry Indians increased to 350 million in 2022 from 190 million in 2018, while the number of billionaires has increased from 102 in 2020 to 166 in 2022. The covid pandemic reduced the income of the poor, but the wealthy did well. The combined wealth of India's 100 richest is now above $600 billion, which is equivalent to India's Union Budget for 18 months. According to Union Government 's own submission to Supreme Court of India, widespread hunger has caused 65% of deaths of children under the age of 5 in 2022. Saurabh Mukherjee, the founder and CIO of Marcellus Investment Managers, along with his colleague Nandita Rajhansa, has coined the term "Octopus Class" to depict 2 lakh families or around 1 million people in India who control 80% of India's wealth. This class has consolidated financial, social and political power and has continuously pushed its 'tentacles' in every profitable activity they are interested in, aided by liberalisation and consequent growth of globalised economy since 1991.
Wealth is the total sum value of monetary assets and valuable material possessions owned by an individual, minus private debt, at a set point in time.
Norway's data are of the highest quality, as extensive information on most assets is collected for all Norwegians