This is a list of countries of the world by wealth per adult, from UBS's Global Wealth Databook. [1] [2] Wealth includes both financial and non-financial assets.
UBS publishes various statistics relevant for calculating net wealth. These figures are influenced by real estate prices, equity market prices, exchange rates, liabilities, debts, adult percentage of the population, human resources, natural resources and capital and technological advancements, which may create new assets or render others worthless in the future.
During periods of equity market growth, the relative national and per capita wealth of countries where people are more exposed to those markets, such as the United States and the United Kingdom, tends to rise. But when equity markets are down, the relative wealth of countries where people invest more in real estate or bonds, such as France and Italy, tends to drop instead. Countries with older populations, like Germany and Italy, would have higher relative wealth, if calculated per capita and not per adult.
In nations where wealth is highly concentrated in a small percentage of people (a higher Gini % in the tables below), the mean (obtained by dividing the total aggregate wealth by the number of adults) can be much higher than the median (the amount that divides the population into two equal groups).[ citation needed ]
Location links are "Economy of LOCATION" links.
Location | Adults | Median wealth | Mean wealth | Total Wealth (billion USD) | Gini % |
---|---|---|---|---|---|
North America | 284,248,000 | 108,918 | 531,286 | 151,170 | 82.3 |
Europe | 589,291,000 | 28,611 | 177,179 | 104,410 | 80.9 |
China | 1,115,602,000 | 27,273 | 75,731 | 84,485 | 70.9 |
World | 5,363,519,000 | 8,654 | 84,718 | 454,385 | 88.3 |
Latin America | 460,054,000 | 6,341 | 32,760 | 15,071 | 85.4 |
Asia-Pacific (excluding China and India) | 1,275,041,000 | 5,176 | 61,154 | 77,974 | 88.1 |
India | 931,224,000 | 3,755 | 16,500 | 15,365 | 82.5 |
Africa | 708,059,000 | 1,242 | 8,345 | 5,909 | 87.1 |
Gini: Higher Gini coefficients signify greater inequality in wealth distribution. A Gini coefficient of 0 reflects perfect wealth equality, where all wealth values are the same, while a Gini coefficient of 1 (or 100%) reflects maximal wealth inequality, a situation where a single individual has all the wealth while all others have none.
Location links are "Wealth in LOCATION" or "Economy of LOCATION" links. See categories: Wealth by country. And: Economies by country.
Location | Adults | Median | Mean | Gini % |
---|---|---|---|---|
Albania | 2,200,000 | 17,280 | 34,839 | 68.6 |
Algeria | 28,349,000 | 3,226 | 12,491 | 85.2 |
Angola | 15,394,000 | 1,716 | 5,418 | 81.2 |
Antigua and Barbuda | 71,000 | 8,916 | 30,634 | 82.5 |
Argentina | 31,540,000 | 4,354 | 13,323 | 80.0 |
Armenia | 2,179,000 | 14,215 | 34,988 | 73.2 |
Aruba | 82,000 | 18,428 | 61,622 | 81.9 |
Australia | 19,564,000 | 261,805 | 546,184 | 66.3 |
Austria | 7,314,000 | 68,492 | 255,689 | 76.1 |
Azerbaijan | 7,278,000 | 9,209 | 21,578 | 72.3 |
Bahamas | 287,000 | 10,885 | 72,971 | 88.9 |
Bahrain | 1,376,000 | 13,904 | 84,313 | 89.7 |
Bangladesh | 110,099,000 | 3,842 | 9,796 | 75.0 |
Barbados | 223,000 | 31,436 | 91,291 | 80.9 |
Belarus | 7,312,000 | 18,466 | 34,835 | 67.1 |
Belgium | 9,055,000 | 256,185 | 362,408 | 59.6 |
Belize | 259,000 | 3,928 | 14,966 | 83.4 |
Benin | 6,218,000 | 922 | 2,823 | 79.8 |
Bolivia | 7,395,000 | 4,913 | 14,222 | 80.6 |
Bosnia and Herzegovina | 2,627,000 | 16,484 | 33,593 | 69.0 |
Botswana | 1,427,000 | 3,591 | 16,567 | 88.5 |
Brazil | 157,120,000 | 5,702 | 29,452 | 88.4 |
Brunei | 318,000 | 6,983 | 39,908 | 89.0 |
Bulgaria | 5,487,000 | 22,759 | 47,074 | 70.6 |
Burkina Faso | 10,144,000 | 563 | 1,713 | 79.6 |
Burundi | 5,741,000 | 453 | 947 | 70.2 |
Cambodia | 10,532,000 | 2,185 | 6,036 | 77.5 |
Cameroon | 13,517,000 | 910 | 3,271 | 83.7 |
Canada | 30,474,000 | 142,587 | 375,800 | 72.3 |
Central African Republic | 2,296,000 | 260 | 952 | 85.3 |
Chad | 7,581,000 | 483 | 1,297 | 77.2 |
Chile | 14,409,000 | 19,544 | 54,082 | 78.8 |
China | 1,115,602,000 | 27,273 | 75,731 | 70.9 |
Colombia | 36,500,000 | 4,450 | 15,464 | 83.1 |
Comoros | 471,000 | 1,256 | 5,285 | 86.2 |
DR Congo | 42,527,000 | 492 | 1,662 | 83.0 |
Congo | 2,868,000 | 380 | 1,465 | 85.4 |
Costa Rica | 3,795,000 | 19,356 | 55,545 | 79.7 |
Croatia | 3,270,000 | 34,837 | 70,461 | 69.6 |
Cyprus | 691,000 | 40,957 | 158,321 | 78.4 |
Czech Republic | 8,519,000 | 23,502 | 90,393 | 78.5 |
Denmark | 4,559,000 | 193,669 | 448,802 | 73.6 |
Djibouti | 645,000 | 1,285 | 3,853 | 78.4 |
Dominica | 50,000 | 13,789 | 44,406 | 81.1 |
Ecuador | 11,782,000 | 7,610 | 21,650 | 80.3 |
Egypt | 61,853,000 | 6,656 | 20,195 | 79.2 |
El Salvador | 4,304,000 | 15,049 | 47,422 | 81.7 |
Equatorial Guinea | 821,000 | 7,501 | 30,333 | 87.1 |
Eritrea | 1,802,000 | 1,431 | 3,688 | 76.0 |
Estonia | 1,035,000 | 39,586 | 78,777 | 73.1 |
Ethiopia | 61,191,000 | 2,124 | 4,905 | 72.5 |
European Union | 355,665,000 | 77,515 (est.) | 213,429 | |
Fiji | 574,000 | 5,950 | 17,998 | 78.5 |
Finland | 4,399,000 | 87,878 | 179,986 | 72.4 |
France | 50,368,000 | 140,593 | 329,122 | 70.3 |
Gabon | 1,270,000 | 5,487 | 16,217 | 79.8 |
Gambia | 1,189,000 | 735 | 2,986 | 86.0 |
Georgia | 2,930,000 | 9,451 | 28,169 | 79.7 |
Germany | 68,024,000 | 66,735 | 264,789 | 77.2 |
Ghana | 17,493,000 | 2,622 | 6,423 | 75.3 |
Greece | 8,421,000 | 53,501 | 105,724 | 68.1 |
Grenada | 79,000 | 19,736 | 64,092 | 81.3 |
Guinea | 6,533,000 | 2,060 | 6,638 | 81.6 |
Guinea-Bissau | 1,004,000 | 664 | 1,791 | 77.6 |
Guyana | 509,000 | 6,896 | 18,587 | 76.8 |
Haiti | 6,885,000 | 207 | 626 | 81.3 |
Hong Kong | 6,338,000 | 206,859 | 582,000 | 73.7 |
Hungary | 7,725,000 | 26,416 | 59,348 | 67.7 |
Iceland | 259,000 | 413,193 | 498,290 | 64.5 |
India | 931,224,000 | 3,755 | 16,500 | 82.5 |
Indonesia | 186,544,000 | 4,819 | 17,457 | 78.0 |
Iran | 59,323,000 | 17,341 | 51,147 | 78.8 |
Ireland | 3,695,000 | 95,459 | 249,918 | 79.9 |
Israel | 5,812,000 | 77,604 | 260,567 | 74.9 |
Italy | 49,781,000 | 113,754 | 220,216 | 67.8 |
Jamaica | 2,078,000 | 7,529 | 24,547 | 82.4 |
Japan | 104,511,000 | 106,999 | 220,371 | 65.0 |
Jordan | 6,041,000 | 14,219 | 38,923 | 76.7 |
Kazakhstan | 12,373,000 | 25,225 | 58,205 | 77.4 |
Kenya | 29,346,000 | 4,356 | 14,829 | 82.8 |
South Korea | 42,859,000 | 95,872 | 245,298 | 67.9 |
Kuwait | 3,224,000 | 41,605 | 175,072 | 85.4 |
Kyrgyzstan | 4,040,000 | 3,398 | 8,542 | 74.8 |
Laos | 4,472,000 | 1,366 | 6,191 | 87.3 |
Latvia | 1,441,000 | 46,899 | 97,583 | 80.4 |
Lesotho | 1,276,000 | 266 | 1,531 | 91.1 |
Liberia | 2,661,000 | 1,977 | 5,886 | 80.1 |
Libya | 4,590,000 | 5,223 | 13,420 | 76.2 |
Lithuania | 2,115,000 | 32,385 | 69,541 | 70.6 |
Luxembourg | 510,000 | 372,258 | 607,524 | 64.8 |
Madagascar | 14,747,000 | 658 | 2,257 | 82.2 |
Malawi | 9,542,000 | 620 | 2,415 | 85.1 |
Malaysia | 23,130,000 | 8,523 | 29,314 | 83.1 |
Maldives | 401,000 | 7,970 | 25,187 | 81.3 |
Mali | 9,235,000 | 863 | 2,658 | 80.2 |
Malta | 360,000 | 102,451 | 160,265 | 60.9 |
Mauritania | 2,518,000 | 1,125 | 3,013 | 76.4 |
Mauritius | 984,000 | 31,103 | 68,846 | 71.4 |
Mexico | 87,983,000 | 18,920 | 55,274 | 79.3 |
Moldova | 3,173,000 | 10,131 | 20,590 | 69.3 |
Mongolia | 2,097,000 | 3,003 | 7,578 | 74.2 |
Montenegro | 477,000 | 43,438 | 81,900 | 69.3 |
Morocco | 25,026,000 | 3,896 | 13,862 | 82.3 |
Mozambique | 15,210,000 | 570 | 1,353 | 74.9 |
Myanmar | 36,861,000 | 3,636 | 7,670 | 68.0 |
Namibia | 1,432,000 | 4,832 | 20,690 | 87.0 |
Nepal | 19,193,000 | 1,685 | 4,672 | 77.6 |
Netherlands | 13,591,000 | 116,948 | 361,759 | 78.8 |
New Zealand | 3,668,000 | 202,525 | 408,231 | 69.9 |
Nicaragua | 4,263,000 | 5,133 | 16,083 | 81.6 |
Niger | 10,550,000 | 599 | 1,436 | 73.9 |
Nigeria | 101,545,000 | 1,507 | 6,879 | 86.5 |
Norway | 4,267,000 | 152,233 | 382,575 | 76.9 |
Oman | 3,858,000 | 11,377 | 48,951 | 87.5 |
Pakistan | 129,747,000 | 2,076 | 5,226 | 74.4 |
Panama | 2,955,000 | 15,724 | 50,917 | 82.5 |
Papua New Guinea | 5,197,000 | 1,828 | 8,606 | 88.6 |
Paraguay | 4,616,000 | 4,930 | 14,809 | 81.0 |
Peru | 23,041,000 | 7,555 | 22,514 | 80.1 |
Philippines | 69,804,000 | 3,155 | 14,486 | 87.3 |
Poland | 30,181,000 | 20,263 | 52,741 | 68.4 |
Portugal | 8,337,000 | 70,409 | 158,840 | 70.3 |
Qatar | 2,465,000 | 92,789 | 199,430 | 58.6 |
Romania | 15,057,000 | 21,545 | 44,320 | 69.3 |
Russia | 110,998,000 | 8,595 | 39,514 | 86.9 |
Rwanda | 6,990,000 | 1,711 | 5,561 | 82.0 |
Samoa | 109,000 | 4,150 | 11,929 | 77.7 |
São Tomé and Príncipe | 110,000 | 1,775 | 4,162 | 73.7 |
Saudi Arabia | 24,925,000 | 20,701 | 90,975 | 86.7 |
Senegal | 8,492,000 | 1,664 | 5,009 | 79.8 |
Serbia | 5,451,000 | 16,462 | 34,080 | 69.9 |
Seychelles | 69,000 | 37,787 | 94,620 | 76.2 |
Sierra Leone | 4,158,000 | 329 | 749 | 73.3 |
Singapore | 4,977,000 | 104,959 | 397,708 | 78.8 |
Slovakia | 4,341,000 | 40,703 | 62,125 | 50.8 |
Slovenia | 1,668,000 | 81,195 | 112,526 | 64.4 |
Solomon Islands | 367,000 | 3,429 | 11,660 | 82.0 |
South Africa | 38,667,000 | 5,141 | 23,956 | 88.8 |
Spain | 37,855,000 | 111,270 | 225,675 | 68.3 |
Sri Lanka | 14,966,000 | 8,615 | 23,991 | 77.2 |
Saint Lucia | 141,000 | 12,454 | 42,301 | 82.7 |
Saint Vincent and the Grenadines | 79,000 | 7,357 | 23,728 | 81.1 |
Suriname | 392,000 | 1,444 | 7,885 | 89.2 |
Sweden | 7,866,000 | 82,864 | 319,289 | 87.4 |
Switzerland | 7,047,000 | 171,035 | 709,612 | 77.2 |
Syria | 12,229,000 | 680 | 1,911 | 77.8 |
Taiwan | 19,803,000 | 110,521 | 302,551 | 69.8 |
Tajikistan | 5,442,000 | 1,863 | 4,592 | 73.8 |
Tanzania | 29,686,000 | 2,005 | 4,869 | 74.7 |
Thailand | 54,741,000 | 9,602 | 25,956 | 76.0 |
Togo | 4,336,000 | 488 | 1,520 | 81.5 |
Tonga | 60,000 | 20,960 | 55,898 | 77.7 |
Trinidad and Tobago | 1,042,000 | 20,960 | 55,939 | 75.9 |
Tunisia | 8,372,000 | 7,298 | 21,087 | 78.4 |
Turkey | 59,247,000 | 5,488 | 17,578 | 80.2 |
Uganda | 21,416,000 | 798 | 2,780 | 83.0 |
United Arab Emirates | 8,138,000 | 31,761 | 152,556 | 86.9 |
United Kingdom | 52,752,000 | 163,515 | 350,264 | 70.2 |
United States | 253,681,000 | 112,157 | 564,862 | 83.0 |
Uruguay | 2,560,000 | 33,522 | 84,778 | 77.2 |
Vanuatu | 170,000 | 5,276 | 16,347 | 79.9 |
Venezuela | 19,373,000 | 12,955 | 33,420 | 77.8 |
Vietnam | 69,792,000 | 5,309 | 14,569 | 78.8 |
Yemen | 16,241,000 | 1,406 | 6,492 | 88.4 |
Zambia | 8,987,000 | 774 | 3,761 | 89.0 |
For some countries, Credit Suisse could not provide mean or median wealth numbers. For those countries they only provide "GDP per adult" numbers. [3]
Asterisk (*) indicates "Wealth in LOCATION" or "Economy of LOCATION" links.
Location | Region | GDP per adult |
---|---|---|
Andorra * | Europe | 52,474 |
Anguilla * | Latin America | 26,510 |
Bermuda * | North America | 189,744 |
Bhutan * | Asia-Pacific | 4,696 |
British Virgin Islands * | Latin America | 76,114 |
Cape Verde * | Africa | 5,380 |
Cayman Islands * | Latin America | 145,583 |
Cook Islands * | Asia-Pacific | 26,438 |
Ivory Coast * | Africa | 5,296 |
Cuba * | Latin America | 12,849 |
Curaçao * | Latin America | 22,146 |
Dominican Republic * | Latin America | 13,374 |
French Guiana * | Latin America | 25,840 |
French Polynesia * | Asia-Pacific | 29,500 |
Greenland * | North America | 83,833 |
Guadeloupe * | Latin America | 33,588 |
Guatemala * | Latin America | 8,198 |
Honduras * | Latin America | 4,643 |
Kiribati * | Asia-Pacific | 3,029 |
North Korea * | Asia-Pacific | 931 |
Kosovo * | Europe | 6,512 |
Liechtenstein * | Europe | 252,879 |
Macau * | Asia-Pacific | 52,442 |
Macedonia * | Europe | 8,624 |
Marshall Islands * | Asia-Pacific | 6,693 |
Martinique * | Latin America | 32,857 |
Mayotte * | Africa | 22,557 |
Micronesia * | Asia-Pacific | 5,726 |
Monaco * | Europe | 242,437 |
Montserrat * | Latin America | 21,123 |
Nauru * | Asia-Pacific | 23,398 |
New Caledonia * | Asia-Pacific | 48,630 |
Palau * | Asia-Pacific | 19,451 |
Palestine * | Asia-Pacific | 6,465 |
Puerto Rico * | Latin America | 48,031 |
Réunion * | Africa | 38,036 |
San Marino * | Europe | 62,268 |
Somalia * | Africa | 280 |
South Sudan * | Africa | 2,204 |
Sint Maarten * | Latin America | 30,547 |
Saint Kitts and Nevis * | Latin America | 24,397 |
Sudan * | Africa | 2,802 |
Swaziland * | Africa | 7,351 |
Turks and Caicos Islands | Latin America | 36,448 |
Tuvalu * | Asia-Pacific | 7,780 |
Uzbekistan * | Asia-Pacific | 3,063 |
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.
A variety of measures of national income and output are used in economics to estimate total economic activity in a country or region, including gross domestic product (GDP), Gross national income (GNI), net national income (NNI), and adjusted national income. All are specially concerned with counting the total amount of goods and services produced within the economy and by various sectors. The boundary is usually defined by geography or citizenship, and it is also defined as the total income of the nation and also restrict the goods and services that are counted. For instance, some measures count only goods & services that are exchanged for money, excluding bartered goods, while other measures may attempt to include bartered goods by imputing monetary values to them.
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.
The median income is the income amount that divides a population into two groups, half having an income above that amount, and half having an income below that amount. It may differ from the mean income. Both of these are ways of understanding income distribution.
Household income is an economic standard that can be applied to one household, or aggregated across a large group such as a county, city, or the whole country. It is commonly used by the United States government and private institutions to describe a household's economic status or to track economic trends in the US.
Income in India discusses the financial state in India. With rising economic growth and 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. According to a 2021 report by the Pew Research Center, India has roughly 1.2 billion lower-income individuals, 66 million middle-income individuals, 16 million upper-middle-income individuals, and barely 2 million in the high-income group. According to The Economist, 78 million of India's population are considered middle class as of 2017, if defined using the cutoff of those making more than $10 per day, a standard used by the India's National Council of Applied Economic Research. According to the World Bank, 93% of India's population lived on less than $10 per day, and 99% lived on less than $20 per day in 2021.
Poverty in Switzerland refers to people who are living in relative poverty in Switzerland. In 2018, 7.9% of the population or some 660,000 people in Switzerland were affected by income poverty. Switzerland has also a significant number of working poor, estimated at 145,000 in 2015.
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.
Median household disposable income in the UK was £29,400 in the financial year ending (FYE) 2019, up 1.4% (£400) compared with growth over recent years; median income grew by an average of 0.7% per year between FYE 2017 and FYE 2019, compared with 2.8% between FYE 2013 and FYE 2017.
Redistribution of income and wealth is the transfer of income and wealth from some individuals to others through a social mechanism such as taxation, welfare, public services, land reform, monetary policies, confiscation, divorce or tort law. The term typically refers to redistribution on an economy-wide basis rather than between selected individuals.
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.
The Galor-Zeira model, established by Oded Galor and Joseph Zeira in 1988, is the first macroeconomic model to examine the influence of economic inequality on macroeconomic dynamics. The model disputes the previously prevalent view, held by the representative agent approach in macroeconomics till the early 1990s, that economic inequality has no effect on macroeconomic activity. It posits that when there are imperfections in capital markets and indivisibilities in investment in the production of human capital, the distribution of wealth can impact both the long-term per capita income and the process of economic growth. This model was published in the paper “Income Distribution and Macroeconomics”, 1993.
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.