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 inequality in wealth distribution, with 0 being complete equality, whereas a value near 1 can arise in a situation where everybody has zero wealth except a very small minority.
It is also important to note, however, that Wealth Inequality measurements can greatly vary based on the quality of data presented. 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]
The table below is for 2018. 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 come from the Global Wealth Databook 2018 by Credit Suisse. [6] Also the Gini Wealth coefficients for 2019 are shown. [1]
* 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 | % of world | (in millions) | % of world | |||
World | 0.804 | 0.904 | 0.885 | 7,935,782,000 | 100 | 93,863,851 | 100 | 11,258 |
Afghanistan | N/A | N/A | 0.655 | N/A | N/A | N/A | N/A | N/A |
Albania | 0.642 | 0.629 | 0.637 | 2,882,740 | 0.036 | 15,103 | 0.016 | 5,239 |
Algeria | 0.67 | 0.758 | 0.749 | 42,228,420 | 0.53 | 0.55 | 0 | 4,115 |
Angola | N/A | N/A | 0.731 | N/A | N/A | N/A | N/A | N/A |
Antigua and Barbuda | 0.747 | 0.838 | 0.823 | 96,280 | 0.0012 | 1,611 | 0.0017 | 16,732 |
Argentina * | 0.74 | 0.792 | 0.768 | 44,361,150 | 0.56 | 0.58 | 0 | 11,719 |
Armenia | 0.684 | 0.645 | 0.663 | 2,951,740 | 0.037 | 12,433 | 0.013 | 4,212 |
Aruba | N/A | N/A | 0.703 | N/A | N/A | N/A | N/A | N/A |
Australia | 0.622 | 0.658 | 0.656 | 24,898,150 | 0.31 | 1,433,904 | 1.5 | 57,591 |
Austria | 0.646 | 0.764 | 0.739 | 8,891,380 | 0.11 | 455,286 | 0.49 | 51,205 |
Azerbaijan | 0.678 | 0.643 | 0.654 | 9,949,540 | 0.13 | 46,940 | 0.050 | 4,718 |
Bahamas | N/A | N/A | 0.828 | N/A | N/A | N/A | N/A | N/A |
Bahrain | N/A | N/A | 0.747 | N/A | N/A | N/A | N/A | N/A |
Bangladesh | 0.66 | 0.671 | 0.678 | 161,376,710 | 2.0 | 2.11 | 0 | 1,698 |
Barbados | 0.706 | 0.788 | 0.778 | 285,720 | 0.0036 | 4,990 | 0.0053 | 17,465 |
Belarus | 0.628 | 0.614 | 0.621 | 9,452,620 | 0.12 | 59,662 | 0.064 | 6,312 |
Belgium | 0.662 | 0.659 | 0.603 | 11,482,180 | 0.14 | 542,761 | 0.58 | 47,270 |
Belize | 0.763 | 0.815 | 0.803 | 383,070 | 0.0048 | 1,871 | 0.0020 | 4,884 |
Benin | 0.713 | 0.689 | 0.707 | 11,485,040 | 0.14 | 10,354 | 0.011 | 902 |
Bolivia | 0.762 | 0.779 | 0.764 | 11,050,000 | 0.14 | 40,288 | 0.043 | 3,646 |
Bosnia and Herzegovina | N/A | N/A | 0.642 | 3,301 | 0 | 21,023 | 0.022 | 6,056 |
Botswana | 0.751 | 0.783 | 0.8 | 2,254.07 | 0 | 18,616 | 0.020 | 8,259 |
Brazil * | 0.62 | 0.823 | 0.849 | 209,469,320 | 2.6 | 2.74 | 0 | 8,921 |
Brunei | N/A | N/A | 0.787 | N/A | N/A | N/A | N/A | N/A |
Bulgaria | 0.652 | 0.647 | 0.659 | 7,051,610 | 0.089 | 65,133 | 0.069 | 9,237 |
Burkina Faso | 0.728 | 0.674 | 0.688 | 19,751,470 | 0.25 | 14,125 | 0.015 | 715 |
Burundi | 0.699 | 0.654 | 0.681 | 11,175,380 | 0.14 | 3,037 | 0.0032 | 272 |
Cambodia | 0.714 | 0.704 | 0.718 | 16,249,800 | 0.20 | 24,542 | 0.026 | 1,510 |
Cameroon | 0.711 | 0.725 | 0.743 | 25,216,260 | 0.32 | 38,675 | 0.041 | 1,534 |
Canada | 0.688 | 0.726 | 0.728 | 37,074,560 | 0.47 | 1,713,342 | 1.8 | 46,213 |
Central African Republic | 0.782 | 0.768 | 0.777 | 4,666,380 | 0.059 | 2,220 | 0.0024 | 476 |
Chad | 0.681 | 0.715 | 0.73 | 15,477,730 | 0.20 | 0.2 | 0 | 728 |
Chile | 0.777 | 0.773 | 0.798 | 18,729,170 | 0.24 | 331,250 | 0.35 | 15,923 |
China * | 0.55 | 0.714 | 0.702 | 1,427,647,790 | 18 | 15,710,960 | 17 | 9,532 |
Colombia | 0.765 | 0.807 | 0.77 | 49,661,060 | 0.63 | 0.65 | 0 | 6,666 |
Comoros | 0.711 | 0.766 | 0.783 | 832,320 | 0.010 | 1,178 | 0.0013 | 1,415 |
DR Congo | N/A | N/A | 0.755 | N/A | N/A | N/A | N/A | N/A |
Congo | N/A | N/A | 0.769 | N/A | N/A | N/A | N/A | N/A |
Costa Rica | 0.732 | 0.769 | 0.75 | 4,999,440 | 0.063 | 0.07 | 0 | 12,027 |
Croatia | 0.654 | 0.631 | 0.645 | 4,156,410 | 0.052 | 60,972 | 0.065 | 14,669 |
Cyprus | N/A | N/A | 0.801 | N/A | N/A | N/A | N/A | N/A |
Czech Republic | 0.626 | 0.758 | 0.725 | 10,649,800 | 0.13 | 245,226 | 0.26 | 23,026 |
Denmark * | 0.808 | 0.835 | 0.838 | 5,752,130 | 0.072 | 355,675 | 0.38 | 61,834 |
Djibouti | N/A | N/A | 0.729 | N/A | N/A | N/A | N/A | N/A |
Dominica | 0.763 | 0.84 | 0.823 | 71,630 | 0.00090 | 0 | 0 | 7,693 |
Dominican Republic | 0.723 | N/A | N/A | 10,627.15 | 0.00013 | 85,555 | 0.091 | 8,051 |
Ecuador * | 0.76 | 0.776 | 0.759 | 17,084,360 | 0.22 | 0.22 | 0 | 6,345 |
Egypt | 0.689 | 0.909 | 0.756 | 99,581,200 | 1.3 | 250,895 | 0.27 | 2,520 |
El Salvador | 0.746 | 0.759 | 0.743 | 6,420,740 | 0.081 | 26,057 | 0.028 | 4,058 |
Equatorial Guinea | 0.688 | 0.781 | 0.793 | 1,308,970 | 0.016 | 13,432 | 0.014 | 10,262 |
Eritrea | N/A | N/A | 0.621 | N/A | N/A | N/A | N/A | N/A |
Estonia | 0.675 | 0.715 | 0.716 | 1,322,910 | 0.017 | 30,732 | 0.033 | 23,231 |
Eswatini | 0.78 | N/A | N/A | 1,136.27 | 0 | 4,711 | 0.0050 | 4,146 |
Ethiopia | 0.652 | 0.612 | 0.62 | 109,224,410 | 1.4 | 1.43 | 0 | 772 |
Fiji | 0.709 | 0.694 | 0.702 | 883,490 | 0.011 | 5,537 | 0.0059 | 6,267 |
Finland | 0.615 | 0.767 | 0.742 | 5,522,590 | 0.070 | 276,743 | 0.29 | 50,111 |
France * | 0.73 | 0.687 | 0.696 | 64,990,510 | 0.82 | 3,135,267 | 3.3 | 42,738 |
Gabon | 0.784 | 0.7 | 0.719 | 2,119.28 | 0 | 16,854 | 0.018 | 7,953 |
Gambia | 0.723 | 0.755 | 0.771 | 2,051,360 | 0.026 | 1,633 | 0.0017 | 796 |
Georgia | 0.725 | 0.678 | 0.687 | 4,002,950 | 0.050 | 17,600 | 0.019 | 4,397 |
Germany * | 0.667 | 0.816 | 0.816 | 83,124,410 | 1.0 | 3,947,620 | 4.2 | 47,491 |
Ghana | 0.692 | 0.682 | 0.699 | 29,767,110 | 0.38 | 65,556 | 0.070 | 2,202 |
Greece | 0.654 | 0.682 | 0.654 | 10,522,240 | 0.13 | 218,032 | 0.23 | 20,721 |
Grenada | 0.763 | 0.842 | 0.827 | 111,450 | 0.0014 | 1,186 | 0.0013 | 10,642 |
Guatemala * | 0.779 | N/A | N/A | 17,247.86 | 0.00022 | 78,460 | 0.084 | 4,549 |
Guinea | 0.693 | 0.716 | 0.741 | 12,414,290 | 0.16 | 10,907 | 0.012 | 879 |
Guinea-Bissau | 0.71 | 0.697 | 0.712 | 1,874,300 | 0.024 | 0.02 | 0 | 778 |
Guyana | 0.707 | 0.75 | 0.734 | 779,010 | 0.0098 | 0.01 | 0 | 4,979 |
Haiti | 0.755 | 0.82 | 0.801 | 11,123,180 | 0.14 | 0.15 | 0 | 868 |
Honduras * | 0.743 | 0.804 | N/A | 9,587.52 | 0.00012 | 23,970 | 0.026 | 2,500 |
Hong Kong | 0.740 | N/A | 0.777 | 7,482.5 | 0 | 362,682 | 0.39 | 48,471 |
Hungary * | 0.651 | 0.662 | 0.663 | 9,707,500 | 0.12 | 157,883 | 0.17 | 16,264 |
Iceland | 0.664 | 0.731 | 0.694 | 336,710 | 0.0042 | 25,878 | 0.028 | 76,855 |
India * | 0.669 | 0.854 | 0.832 | 1,352,642,280 | 17 | 2,718,732 | 2.9 | 2,010 |
Indonesia * | 0.764 | 0.84 | 0.833 | 267,670,550 | 3.4 | 3.51 | 0 | 3,893 |
Iran | 0.707 | 0.705 | 0.705 | 82,531,700 | 1.0 | 454,013 | 0.48 | 5,501 |
Iraq | N/A | N/A | 0.633 | N/A | N/A | N/A | N/A | N/A |
Ireland | 0.581 | 0.83 | 0.796 | 4,818,690 | 0.061 | 511,458 | 0.54 | 102,394 |
Israel | 0.677 | 0.766 | 0.777 | 8,381,510 | 0.11 | 370,588 | 0.39 | 44,215 |
Italy | 0.609 | 0.689 | 0.669 | 60,627,290 | 0.76 | 2,083,864 | 2.2 | 34,372 |
Ivory Coast | 0.712 | N/A | N/A | 25,069.23 | 0.00032 | 43,007 | 0.046 | 1,716 |
Jamaica | 0.686 | 0.788 | 0.775 | 2,934,850 | 0.037 | 15,714 | 0.017 | 5,354 |
Japan | 0.547 | 0.631 | 0.626 | 127,202,190 | 1.6 | 4,971,323 | 5.3 | 39,082 |
Jordan | 0.678 | 0.677 | 0.696 | 9,965,320 | 0.13 | 42,231 | 0.045 | 4,238 |
Kazakhstan | 0.655 | 0.952 | 0.772 | 18,319,620 | 0.23 | 179,340 | 0.19 | 9,790 |
Kenya | 0.699 | 0.732 | 0.745 | 51,392,570 | 0.65 | 87,908 | 0.094 | 1,711 |
Kuwait | N/A | N/A | 0.763 | N/A | N/A | N/A | N/A | N/A |
Kyrgyzstan | 0.68 | 0.673 | 0.681 | 6,389,500 | 0.081 | 0.08 | 0 | 1,267 |
Laos | N/A | N/A | 0.794 | N/A | N/A | N/A | N/A | N/A |
Latvia | 0.67 | 0.788 | 0.789 | 1,928,460 | 0.024 | 0.03 | 0 | 17,843 |
Lebanon * | 0.762 | 0.889 | 0.819 | 6,859,410 | 0.086 | 56,639 | 0.060 | 8,257 |
Lesotho | 0.767 | 0.795 | 0.805 | 2,108,330 | 0.027 | 2,739 | 0.0029 | 1,299 |
Liberia | N/A | N/A | 0.727 | N/A | N/A | N/A | N/A | N/A |
Libya | N/A | N/A | 0.659 | N/A | N/A | N/A | N/A | N/A |
Lithuania | 0.666 | 0.655 | 0.663 | 2,801,270 | 0.035 | 53,429 | 0.057 | 19,073 |
Luxembourg | 0.65 | 0.663 | 0.67 | 604,240 | 0.0076 | 0.01 | 0 | 117,312 |
Macau | 0.58 | N/A | N/A | 667.4 | 0 | 55,084 | 0.059 | 82,535 |
Madagascar | 0.722 | 0.702 | 0.722 | 26,262,310 | 0.33 | 13,853 | 0.015 | 527 |
Malawi | 0.736 | 0.733 | 0.751 | 18,143,220 | 0.23 | 7,065 | 0.0075 | 389 |
Malaysia * | 0.733 | 0.82 | 0.796 | 31,528,030 | 0.40 | 0.41 | 0 | 11,373 |
Maldives * | N/A | N/A | 0.724 | N/A | N/A | N/A | N/A | N/A |
Mali | 0.75 | 0.682 | 0.707 | 19,077,760 | 0.24 | 0.25 | 0 | 900 |
Malta | 0.664 | 0.631 | 0.64 | 439,260 | 0.0055 | 0.01 | 0 | 33,131 |
Mauritania | 0.686 | 0.667 | 0.681 | 4,403,310 | 0.055 | 5,235 | 0.0056 | 1,189 |
Mauritius | 0.661 | 0.64 | 0.662 | 1,267,180 | 0.016 | 0.02 | 0 | 11,222 |
Mexico * | 0.749 | 0.8 | 0.777 | 126,190.78 | 0.0016 | 1,220,699 | 1.3 | 9,673 |
Moldova | N/A | N/A | 0.645 | N/A | N/A | N/A | N/A | N/A |
Mongolia | N/A | N/A | 0.668 | N/A | N/A | N/A | N/A | N/A |
Montenegro | N/A | N/A | 0.648 | N/A | N/A | N/A | N/A | N/A |
Morocco | 0.69 | 0.802 | 0.766 | 36,029,090 | 0.45 | 0.47 | 00 | 3,273 |
Mozambique | 0.689 | 0.7 | 0.716 | 29,496 | 0.00037 | 14,717 | 0.016 | 499 |
Myanmar | N/A | N/A | 0.597 | N/A | N/A | N/A | N/A | N/A |
Namibia | 0.847 | 0.776 | 0.788 | 2,448,300 | 0.031 | 14,522 | 0.015 | 5,931 |
Nepal | N/A | N/A | 0.71 | N/A | N/A | N/A | N/A | N/A |
Netherlands * | 0.65 | 0.789 | 0.902 | 17,059,560 | 0.21 | 912,242 | 0.97 | 53,557 |
New Zealand * | 0.651 | 0.708 | 0.672 | 4,743,130 | 0.060 | 204,924 | 0.22 | 43,204 |
Nicaragua | 0.755 | 0.778 | 0.759 | 6,465,500 | 0.081 | 13,118 | 0.014 | 2,029 |
Niger | 0.729 | 0.66 | 0.682 | 22,442,830 | 0.28 | 0.29 | 0 | 414 |
Nigeria | 0.729 | 0.894 | 0.809 | 195,874,690 | 2.5 | 397,270 | 0.42 | 2,028 |
North Macedonia | 0.661 | 0.655 | N/A | 2,082.96 | 0 | 12,672 | 0.014 | 6,084 |
Norway | 0.633 | 0.791 | 0.798 | 5,337,960 | 0.067 | 434,167 | 0.46 | 81,336 |
Oman | N/A | N/A | 0.786 | N/A | N/A | N/A | N/A | N/A |
Pakistan | 0.698 | 0.65 | 0.665 | 212,228,290 | 2.7 | 2.78 | 00 | 1,482 |
Panama | 0.766 | 0.795 | 0.78 | 4,176,870 | 0.053 | 0.05 | 0 | 15,575 |
Papua New Guinea | 0.738 | 0.76 | 0.766 | 8,606,320 | 0.11 | 0.11 | 0 | 2,730 |
Paraguay | 0.766 | 0.785 | 0.768 | 6,956,070 | 0.088 | 40,497 | 0.043 | 5,822 |
Peru | 0.738 | 0.795 | 0.788 | 31,989,270 | 0.40 | 222,045 | 0.24 | 6,941 |
Philippines * | 0.717 | 0.826 | 0.837 | 106,651,390 | 1.3 | 330,910 | 0.35 | 3,103 |
Poland * | 0.657 | 0.722 | 0.677 | 37,921,590 | 0.48 | 585,664 | 0.62 | 15,444 |
Portugal | 0.667 | 0.736 | 0.692 | 10,256,190 | 0.13 | 240,675 | 0.26 | 23,466 |
Puerto Rico | 0.753 | N/A | N/A | 3,039.6 | 0 | 101,131 | 0.11 | 33,271 |
Qatar | N/A | N/A | 0.633 | N/A | N/A | N/A | N/A | N/A |
Romania | 0.651 | 0.728 | 0.647 | 19,506,110 | 0.25 | 239,553 | 0.26 | 12,281 |
Russia * | 0.699 | 0.875 | 0.879 | 146,801,930 | 1.8 | 1,657,555 | 1.8 | 11,291 |
Rwanda | 0.714 | 0.728 | 0.742 | 12,301,970 | 0.16 | 9,509 | 0.010 | 773 |
Samoa | N/A | N/A | 0.747 | N/A | N/A | N/A | N/A | N/A |
São Tomé and Príncipe | N/A | N/A | 0.674 | N/A | N/A | N/A | N/A | N/A |
Saudi Arabia | 0.737 | 0.81 | 0.834 | 33,702,760 | 0.42 | 0.44 | 0 | 23,337 |
Senegal | 0.697 | 0.705 | 0.726 | 15,854,320 | 0.20 | 24,130 | 0.026 | 1,522 |
Serbia | N/A | N/A | 0.676 | 6,963.76 | 0 | 55,437 | 0.059 | 7,992 |
Seychelles | 0.76 | 0.679 | 0.704 | 97,090 | 0.0012 | 0 | 0 | 16,376 |
Sierra Leone | 0.687 | 0.671 | 0.694 | 7,650,150 | 0.096 | 4,085 | 0.0044 | 534 |
Singapore * | 0.689 | 0.758 | 0.757 | 5,757,500 | 0.073 | 364,157 | 0.39 | 63,249 |
Slovakia | 0.629 | 0.498 | 0.498 | 5,453,020 | 0.069 | 105,905 | 0.11 | 19,421 |
Slovenia | 0.626 | 0.646 | 0.662 | 2,077,840 | 0.026 | 54,008 | 0.058 | 25,992 |
Solomon Islands | N/A | N/A | 0.7 | N/A | N/A | N/A | N/A | N/A |
South Africa * | 0.763 | 0.806 | 0.806 | 57,792,520 | 0.73 | 368,289 | 0.39 | 6,373 |
South Korea * | 0.579 | 0.67 | 0.606 | 51,709,100 | 0.65 | 1,823,852 | 1.9 | 35,196 |
Spain | 0.57 | 0.697 | 0.694 | 46,692,860 | 0.59 | 0.61 | 0 | 30,391 |
Sri Lanka | 0.665 | 0.687 | 0.7 | 21,228.76 | 0.00027 | 88,901 | 0.095 | 4,188 |
Saint Lucia | N/A | N/A | 0.728 | N/A | N/A | N/A | N/A | N/A |
Saint Vincent and the Grenadines | N/A | N/A | 0.818 | N/A | N/A | N/A | N/A | N/A |
Sudan | N/A | N/A | 0.687 | N/A | N/A | N/A | N/A | N/A |
Suriname | N/A | N/A | 0.832 | N/A | N/A | N/A | N/A | N/A |
Sweden * | 0.742 | 0.865 | 0.867 | 9,971,630 | 0.13 | 556,086 | 0.59 | 55,767 |
Switzerland | 0.803 | 0.741 | 0.705 | 8,570,150 | 0.11 | 705,140 | 0.75 | 82,279 |
Syria | N/A | N/A | 0.699 | N/A | N/A | N/A | N/A | N/A |
Taiwan | N/A | N/A | 0.751 | N/A | N/A | N/A | N/A | N/A |
Tajikistan | N/A | N/A | 0.656 | N/A | N/A | N/A | N/A | N/A |
Tanzania | 0.676 | 0.65 | 0.661 | 56,313,440 | 0.71 | 0.74 | 0 | 1,030 |
Thailand | 0.71 | 0.902 | 0.846 | 69,428,450 | 0.87 | 0.91 | 0 | 7,274 |
East Timor | N/A | N/A | 0.565 | N/A | N/A | N/A | N/A | N/A |
Togo | 0.711 | 0.719 | 0.734 | 7,889,100 | 0.099 | 5,359 | 0.0057 | 679 |
Tonga | N/A | N/A | 0.682 | N/A | N/A | N/A | N/A | N/A |
Trinidad and Tobago | 0.689 | 0.748 | 0.732 | 1,389,840 | 0.018 | 23,808 | 0.025 | 17,130 |
Tunisia | 0.693 | 0.683 | 0.705 | 11,565,200 | 0.15 | 39,871 | 0.042 | 3,447 |
Turkey | 0.718 | 0.871 | 0.794 | 82,340,090 | 1.0 | 771,350 | 0.82 | 9,368 |
Turkmenistan | N/A | N/A | 0.63 | N/A | N/A | N/A | N/A | N/A |
Uganda | 0.723 | 0.714 | 0.729 | 42,729,030 | 0.54 | 27,461 | 0.029 | 643 |
Ukraine | 0.667 | 0.955 | 0.847 | 44,246,160 | 0.56 | 130,832 | 0.14 | 2,957 |
United Arab Emirates | N/A | N/A | 0.796 | N/A | N/A | N/A | N/A | N/A |
United Kingdom | 0.697 | 0.747 | 0.746 | 67,141,680 | 0.85 | 2,855,297 | 3.0 | 42,526 |
United States * | 0.801 | 0.852 | 0.852 | 327,096,260 | 4.1 | 20,544,343 | 22 | 62,808 |
Uruguay | 0.708 | 0.741 | 0.721 | 3,449,290 | 0.043 | 59,597 | 0.063 | 17,278 |
Vanuatu | N/A | N/A | 0.688 | N/A | N/A | N/A | N/A | N/A |
Venezuela | N/A | N/A | 0.743 | N/A | N/A | N/A | N/A | N/A |
Vietnam | 0.682 | 0.708 | 0.761 | 95,545,960 | 1.2 | 245,214 | 0.26 | 2,566 |
Yemen | 0.613 | 0.801 | 0.798 | 28,498,680 | 0.36 | 26,914 | 0.029 | 944 |
Zambia | 0.766 | 0.787 | 0.798 | 17,351,710 | 0.22 | 26,720 | 0.028 | 1,540 |
Zimbabwe | 0.845 | 0.707 | 0.719 | 14,438,810 | 0.18 | 31,001 | 0.033 | 2,147 |
In economics, the Gini coefficient, also the Gini index and the Gini ratio, is a measure of statistical dispersion intended to represent the income inequality or the wealth inequality within a nation or a social group. The Gini coefficient was developed by 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. An individual possessing a substantial net worth is known as wealthy. Net worth is defined as the current value of one's assets less liabilities.
There are wide varieties of economic inequality, most notably measured using the distribution of income and the distribution of wealth. Besides economic inequality between countries or states, there are important types of economic inequality between different groups of people.
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. Classical economists such as Adam Smith (1723–1790), Thomas Malthus (1766–1834), and David Ricardo (1772–1823) concentrated their attention on factor income-distribution, that is, the distribution of income between the primary factors of production. Modern economists have also addressed issues of income distribution, but have focused more on the distribution of income across individuals and households. Important theoretical and policy concerns include the balance between income inequality and economic growth, and their often inverse relationship.
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 in the United States is the extent to which income is distributed in differing amounts among the American population. It has fluctuated considerably 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 135 thousand rupees in 2020. 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, GNI 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 in a given society are distributed unevenly, typically through norms of allocation, that engender specific patterns along lines of socially defined categories of persons. It is the differentiation preference of access of social goods in the society brought about by power, religion, kinship, prestige, race, ethnicity, gender, age, sexual orientation, and class. Social inequality usually implies the lack of equality of outcome, but may alternatively be conceptualized in terms of the lack of equality of access to opportunity. The social rights include labor market, the source of income, health care, and freedom of speech, education, political representation, and participation.
Wealth inequality in the United States, also known as the wealth gap, is the unequal distribution of assets among residents of the United States. Wealth commonly includes the values of any homes, automobiles, personal valuables, businesses, savings, and investments, as well as any associated debts. As of Q3 2019, the top 10% of households in the United States held 70% of the country's wealth, while the bottom 50% held 2%. Wealth commonly includes the values of any homes, automobiles, personal valuables, businesses, savings, and investments, as well as any associated debts. From an international perspective, the difference in US median and mean wealth per adult is over 600%. A 2011 study found that US citizens across the political spectrum dramatically underestimate the current level of wealth inequality in the US, and would prefer a far more egalitarian distribution of wealth.
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.
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.
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