List of countries by wealth per adult

From Justapedia, unleashing the power of collective wisdom
Jump to navigation Jump to search

Countries by mean wealth (US dollars) per adult. From 2021 publication of Credit Suisse.
Countries by median wealth (US dollars) per adult. From 2021 publication of Credit Suisse.

This is a list of countries of the world by wealth per adult or household, from sources such as Credit Suisse's annual Global Wealth Databook[1] and the OECD's Better Life Index.[2] Wealth includes both financial and non-financial assets.

Credit Suisse Global Wealth Databook's list of countries by wealth per adult (USD)

Credit Suisse 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 rise instead. Countries with older populations, like Germany and Italy, would have higher relative wealth, if calculated per capita and not per adult.

Mean wealth is the amount obtained by dividing the total aggregate wealth by the number of adults. Median wealth is the amount that divides the population into two equal groups: half the adults have wealth above the median, and the other half below. In nations where wealth is highly concentrated in a small percentage of people, the mean can be much higher than the median (e.g. the United States). To see this, click on the header of the median wealth column and put it in descending order.

By region

* indicates "Economy of LOCATION" links.

Large areas. Median and mean wealth per adult, in US dollars. Number of adults. Also, total wealth in billion USD. (2022 publication).[1]
Location Adult population Median wealth Mean wealth Total Wealth,
billion USD
Gini %
 
 Northern America 282,072,000 95,255 560,846 158,199 84.2
 China * 1,110,504,000 28,258 76,639 85,107 70.1
 Europe * 589,822,000 26,385 180,275 106,330 81.6
 World * 5,298,564,000 8,360 87,489 463,567 88.9
 Asia-Pacific
 (excl. China and India)
1,256,863,000 5,218 64,700 81,319 88.5
 Latin America * 453,836,000 5,139 27,717 12,579 85.8
 India * 915,667,000 3,457 15,535 14,225 82.3
 Africa * 689,800,000 1,111 8,419 5,808 87.9

By country

Gini: Higher Gini coefficients signify greater inequality in wealth distribution, with 0 being complete equality, whereas a value near 100% can arise in a situation where everybody has zero wealth except a very small minority.

* indicates "Wealth in LOCATION" or "Economy of LOCATION" links.

Median and mean wealth per adult, in US dollars. Wealth Gini.
(2022 publication).[1]
Location Adults Median wealth Mean wealth Gini %
 Afghanistan * 19,045,000 1,028 2,139 68.9
 Albania * 2,196,000 17,613 35,529 68.6
 Algeria * 27,980,000 2,552 10,141 84.8
 Angola * 14,856,000 1,162 3,701 81.4
 Antigua and Barbuda * 71,000 5,962 19,338 81.3
 Argentina * 31,171,000 3,263 10,446 80.9
 Armenia * 2,178,000 8,883 21,802 73.1
 Aruba * 82,000 16,100 52,221 81.3
 Australia * 19,359,000 273,903 550,110 66.2
 Austria * 7,297,000 75,075 250,125 74.2
 Azerbaijan * 7,222,000 6,732 15,953 72.6
 Bahamas * 282,000 7,376 60,263 89.5
 Bahrain * 1,349,000 17,640 98,031 88.5
 Bangladesh * 108,089,000 3,680 9,490 75.4
 Barbados * 222,000 24,653 70,807 80.5
 Belarus * 7,343,000 13,889 26,221 67.2
 Belgium * 9,026,000 267,887 381,114 59.9
 Belize * 252,000 3,017 11,295 83.5
 Benin * 6,025,000 924 2,976 80.0
 Bolivia * 7,242,000 3,928 14,098 80.8
 Bosnia and Herzegovina * 2,632,000 15,938 33,122 69.2
 Botswana * 1,393,000 4,357 19,388 87.9
 Brazil * 155,248,000 3,743 21,429 89.2
 Brunei * 314,000 9,619 57,419 89.7
 Bulgaria * 5,535,000 21,381 43,631 70.2
 Burkina Faso * 9,805,000 521 1,618 79.0
 Burundi * 5,559,000 360 809 70.3
 Cambodia * 10,359,000 2,196 6,270 78.3
 Cameroon * 13,109,000 989 3,490 83.3
 Canada * 30,203,000 151,248 409,297 72.6
 Central African Republic * 2,226,000 277 980 84.5
 Chad * 7,314,000 503 1,372 77.6
 Chile * 14,358,000 18,820 54,639 79.4
 China * 1,110,504,000 28,258 76,639 70.1
 Colombia * 36,094,000 4,866 17,079 83.5
 Comoros * 459,000 1,397 6,062 86.1
 DR Congo * 41,101,000 407 1,438 83.0
 Congo * 2,787,000 447 1,841 85.5
 Costa Rica * 3,746,000 15,957 45,677 79.7
 Croatia * 3,287,000 33,240 68,272 70.2
 Cyprus * 685,000 37,381 149,824 79.1
 Czech Republic * 8,520,000 22,958 82,240 77.6
 Denmark * 4,538,000 171,175 426,494 73.9
 Djibouti * 632,000 1,169 3,755 79.6
 Dominica * 50,000 10,885 35,307 81.3
 Ecuador * 11,578,000 5,979 20,539 80.1
 Egypt * 60,743,000 7,426 23,134 79.3
 El Salvador * 4,254,000 10,122 38,523 81.2
 Equatorial Guinea * 798,000 6,326 24,769 86.4
 Eritrea * 1,761,000 1,199 3,113 76.3
 Estonia * 1,040,000 38,935 77,360 73.1
 Ethiopia * 59,133,000 1,690 3,861 72.3
 Fiji * 569,000 6,630 20,518 78.5
 Finland * 4,387,000 80,152 186,208 74.4
 France * 50,171,000 139,169 322,074 70.2
 Gabon * 1,242,000 6,353 18,647 79.7
 Gambia * 1,151,000 732 2,942 85.7
 Georgia * 2,946,000 4,774 15,673 81.7
 Germany * 68,056,000 60,633 256,985 78.8
 Ghana * 17,054,000 2,962 7,604 75.3
 Greece * 8,440,000 55,016 108,300 68.2
 Grenada * 79,000 16,222 52,618 81.3
 Guinea * 6,302,000 1,221 3,935 81.6
 Guinea-Bissau * 976,000 693 1,896 78.0
 Guyana * 503,000 4,848 14,389 76.9
 Haiti * 6,753,000 483 1,358 79.9
 Hong Kong * 6,315,000 202,376 552,930 73.8
 Hungary * 7,745,000 31,095 70,668 68.0
 Iceland * 257,000 375,735 457,795 64.6
 India * 915,667,000 3,457 15,535 82.3
 Indonesia * 183,735,000 5,030 18,534 78.2
 Iran * 58,631,000 12,968 39,093 79.2
 Iraq * 21,931,000 7,428 16,919 71.0
 Ireland * 3,659,000 91,591 251,337 80.0
 Israel * 5,719,000 92,426 273,417 74.7
 Italy * 49,766,000 112,138 231,323 67.2
 Jamaica * 2,061,000 6,712 21,712 82.2
 Japan * 104,763,000 119,999 245,238 64.7
 Jordan * 5,964,000 11,280 30,814 76.7
 Kazakhstan * 12,300,000 18,321 42,559 77.6
 Kenya * 28,403,000 3,863 12,987 82.6
 South Korea * 42,707,000 93,141 237,644 68.2
 Kuwait * 3,183,000 39,392 171,348 86.2
 Kyrgyzstan * 3,988,000 2,456 6,276 75.2
 Laos * 4,380,000 1,664 7,916 88.3
 Latvia * 1,456,000 41,897 87,270 80.5
 Lebanon * 4,553,000 24,748 75,734 80.2
 Lesotho * 1,259,000 353 1,724 88.8
 Liberia * 2,580,000 1,740 5,259 80.6
 Libya * 4,517,000 3,830 9,732 76.0
 Lithuania * 2,140,000 28,407 63,508 72.0
 Luxembourg * 504,000 350,271 657,564 66.3
 Madagascar * 14,273,000 618 2,118 82.1
 Malawi * 9,209,000 601 2,378 84.5
 Malaysia * 22,727,000 8,023 27,078 83.0
 Maldives * 407,000 6,823 21,459 80.8
 Mali * 8,921,000 862 2,629 80.0
 Malta * 359,000 97,524 162,581 61.1
 Mauritania * 2,443,000 1,127 2,938 75.8
 Mauritius * 976,000 29,296 65,031 71.6
 Mexico * 86,570,000 15,684 48,138 80.4
 Moldova * 3,182,000 9,095 18,392 69.1
 Mongolia * 2,076,000 2,902 7,310 74.2
 Montenegro * 477,000 40,163 75,759 68.1
 Morocco * 24,652,000 4,226 15,164 82.4
 Mozambique * 14,687,000 469 1,117 75.0
 Myanmar * 36,281,000 3,364 7,112 68.0
 Namibia * 1,404,000 5,311 22,369 86.8
 Nepal * 18,548,000 1,448 4,189 78.8
 Netherlands * 13,527,000 142,994 400,828 75.0
 New Zealand * 3,634,000 231,257 472,153 70.0
 Nicaragua * 4,185,000 3,606 13,523 81.3
 Niger * 10,134,000 565 1,420 73.8
 Nigeria * 98,681,000 1,722 7,618 86.0
 Norway * 4,225,000 132,482 334,432 79.4
 Oman * 3,810,000 9,343 40,962 88.0
 Pakistan * 126,601,000 2,518 6,237 74.0
 Panama * 2,900,000 13,556 49,935 81.9
 Papua New Guinea * 5,068,000 2,282 8,449 84.3
 Paraguay * 4,535,000 3,937 12,078 81.5
 Peru * 22,795,000 6,148 20,940 80.0
 Philippines * 68,428,000 2,772 14,502 87.3
 Poland * 30,244,000 16,640 50,426 71.6
 Portugal * 8,338,000 66,029 154,377 70.6
 Qatar * 2,428,000 100,014 183,106 58.6
Lua error in mw.title.lua at line 209: too many expensive function calls. 15,123,000 20,389 42,351 69.6
Lua error in mw.title.lua at line 209: too many expensive function calls. 111,419,000 6,919 34,005 88.0
Lua error in mw.title.lua at line 209: too many expensive function calls. 6,780,000 1,231 4,179 81.8
Lua error in mw.title.lua at line 209: too many expensive function calls. 107,000 6,090 17,396 77.7
Lua error in mw.title.lua at line 209: too many expensive function calls. 107,000 1,987 4,610 73.4
Lua error in mw.title.lua at line 209: too many expensive function calls. 24,558,000 19,323 84,407 86.4
Lua error in mw.title.lua at line 209: too many expensive function calls. 8,231,000 1,675 5,001 79.7
Lua error in mw.title.lua at line 209: too many expensive function calls. 5,466,000 14,877 32,816 71.3
Lua error in mw.title.lua at line 209: too many expensive function calls. 69,000 23,190 57,619 76.0
Lua error in mw.title.lua at line 209: too many expensive function calls. 4,045,000 352 799 73.2
Lua error in mw.title.lua at line 209: too many expensive function calls. 4,932,000 93,133 358,204 78.8
Lua error in mw.title.lua at line 209: too many expensive function calls. 4,344,000 41,935 63,493 50.5
Lua error in mw.title.lua at line 209: too many expensive function calls. 1,670,000 60,956 107,476 65.2
Lua error in mw.title.lua at line 209: too many expensive function calls. 357,000 4,718 15,596 81.4
Lua error in mw.title.lua at line 209: too many expensive function calls. 38,133,000 5,252 24,601 88.6
Lua error in mw.title.lua at line 209: too many expensive function calls. 37,825,000 104,163 222,888 69.1
Lua error in mw.title.lua at line 209: too many expensive function calls. 14,846,000 9,813 27,040 77.0
Lua error in mw.title.lua at line 209: too many expensive function calls. 140,000 8,407 27,268 81.3
Lua error in mw.title.lua at line 209: too many expensive function calls. 79,000 5,823 18,887 81.3
Lua error in mw.title.lua at line 209: too many expensive function calls. 387,000 1,547 8,060 88.6
Lua error in mw.title.lua at line 209: too many expensive function calls. 7,829,000 95,051 381,968 88.1
Lua error in mw.title.lua at line 209: too many expensive function calls. 7,003,000 168,084 696,604 77.2
Lua error in mw.title.lua at line 209: too many expensive function calls. 11,449,000 556 1,562 77.8
Lua error in mw.title.lua at line 209: too many expensive function calls. 19,733,000 113,938 297,864 70.7
Lua error in mw.title.lua at line 209: too many expensive function calls. 5,337,000 1,938 4,597 72.8
Lua error in mw.title.lua at line 209: too many expensive function calls. 28,690,000 1,671 4,260 74.4
Lua error in mw.title.lua at line 209: too many expensive function calls. 54,411,000 8,662 24,638 77.1
Lua error in mw.title.lua at line 209: too many expensive function calls. 708,000 3,257 5,849 62.7
Lua error in mw.title.lua at line 209: too many expensive function calls. 4,207,000 488 1,518 81.5
Lua error in mw.title.lua at line 209: too many expensive function calls. 59,000 15,409 44,014 77.7
Lua error in mw.title.lua at line 209: too many expensive function calls. 1,037,000 21,049 49,567 75.7
Lua error in mw.title.lua at line 209: too many expensive function calls. 8,294,000 7,384 20,981 78.0
Lua error in mw.title.lua at line 209: too many expensive function calls. 58,575,000 5,964 19,496 81.0
Lua error in mw.title.lua at line 209: too many expensive function calls. 3,782,000 9,168 20,588 70.5
Lua error in mw.title.lua at line 209: too many expensive function calls. 20,620,000 664 2,387 82.8
Lua error in mw.title.lua at line 209: too many expensive function calls. 34,382,000 4,987 19,742 83.4
Lua error in mw.title.lua at line 209: too many expensive function calls. 8,092,000 23,055 122,841 88.5
Lua error in mw.title.lua at line 209: too many expensive function calls. 52,562,000 141,552 309,375 70.6
Lua error in mw.title.lua at line 209: too many expensive function calls. 251,779,000 93,271 579,051 85.0
Lua error in mw.title.lua at line 209: too many expensive function calls. 2,545,000 22,519 57,726 77.4
Lua error in mw.title.lua at line 209: too many expensive function calls. 165,000 4,953 16,374 81.4
Lua error in mw.title.lua at line 209: too many expensive function calls. 18,798,000 10,948 28,243 77.8
Lua error in mw.title.lua at line 209: too many expensive function calls. 69,176,000 4,987 14,246 79.7
Lua error in mw.title.lua at line 209: too many expensive function calls. 15,760,000 1,697 7,808 88.3
Lua error in mw.title.lua at line 209: too many expensive function calls. 8,655,000 653 3,084 88.6
Lua error in mw.title.lua at line 209: too many expensive function calls. 7,264,000 3,164 9,791 79.7

More countries. Rough estimates

For some countries, Credit Suisse could not provide mean or median wealth numbers. For those countries they only provide "GDP per adult" numbers.[1]

* indicates "Wealth in LOCATION" or "Economy of LOCATION" links.

GDP per adult, in US dollars. (2022 publication).[1]
Location Region GDP per adult
Lua error in mw.title.lua at line 209: too many expensive function calls. Europe 52,474
Lua error in mw.title.lua at line 209: too many expensive function calls. Latin America 26,510
Lua error in mw.title.lua at line 209: too many expensive function calls. North America 189,744
Lua error in mw.title.lua at line 209: too many expensive function calls. Asia-Pacific 4,696
Lua error in mw.title.lua at line 209: too many expensive function calls. Latin America 76,114
Lua error in mw.title.lua at line 209: too many expensive function calls. Africa 5,380
Lua error in mw.title.lua at line 209: too many expensive function calls. Latin America 145,583
Lua error in mw.title.lua at line 209: too many expensive function calls. Asia-Pacific 26,438
Lua error in mw.title.lua at line 209: too many expensive function calls. Africa 5,296
Lua error in mw.title.lua at line 209: too many expensive function calls. Latin America 12,849
Lua error in mw.title.lua at line 209: too many expensive function calls. Latin America 22,146
Lua error in mw.title.lua at line 209: too many expensive function calls. Latin America 13,374
Lua error in mw.title.lua at line 209: too many expensive function calls. Latin America 25,840
Lua error in mw.title.lua at line 209: too many expensive function calls. Asia-Pacific 29,500
Lua error in mw.title.lua at line 209: too many expensive function calls. North America 83,833
Lua error in mw.title.lua at line 209: too many expensive function calls. Latin America 33,588
Lua error in mw.title.lua at line 209: too many expensive function calls. Latin America 8,198
Lua error in mw.title.lua at line 209: too many expensive function calls. Latin America 4,643
Lua error in mw.title.lua at line 209: too many expensive function calls. Asia-Pacific 3,029
Lua error in mw.title.lua at line 209: too many expensive function calls. Asia-Pacific 931
Lua error in mw.title.lua at line 209: too many expensive function calls. Europe 6,512
Lua error in mw.title.lua at line 209: too many expensive function calls. Europe 252,879
Lua error in mw.title.lua at line 209: too many expensive function calls. Asia-Pacific 52,442
Lua error in mw.title.lua at line 209: too many expensive function calls. Europe 8,624
Lua error in mw.title.lua at line 209: too many expensive function calls. Asia-Pacific 6,693
Lua error in mw.title.lua at line 209: too many expensive function calls. Latin America 32,857
Lua error in mw.title.lua at line 209: too many expensive function calls. Africa 22,557
Lua error in mw.title.lua at line 209: too many expensive function calls. Asia-Pacific 5,726
Lua error in mw.title.lua at line 209: too many expensive function calls. Europe 242,437
Lua error in mw.title.lua at line 209: too many expensive function calls. Latin America 21,123
Lua error in mw.title.lua at line 209: too many expensive function calls. Asia-Pacific 23,398
Lua error in mw.title.lua at line 209: too many expensive function calls. Asia-Pacific 48,630
Lua error in mw.title.lua at line 209: too many expensive function calls. Asia-Pacific 19,451
Lua error in mw.title.lua at line 209: too many expensive function calls. Latin America 48,031
Lua error in mw.title.lua at line 209: too many expensive function calls. Africa 38,036
Lua error in mw.title.lua at line 209: too many expensive function calls. Europe 62,268
Lua error in mw.title.lua at line 209: too many expensive function calls. Africa 280
Lua error in mw.title.lua at line 209: too many expensive function calls. Africa 2,204
Lua error in mw.title.lua at line 209: too many expensive function calls. Latin America 30,547
Lua error in mw.title.lua at line 209: too many expensive function calls. Latin America 24,397
Lua error in mw.title.lua at line 209: too many expensive function calls. Africa 2,802
Lua error in mw.title.lua at line 209: too many expensive function calls. Africa 7,351
Lua error in mw.title.lua at line 209: too many expensive function calls. Latin America 36,448
Lua error in mw.title.lua at line 209: too many expensive function calls. Asia-Pacific 7,780
Lua error in mw.title.lua at line 209: too many expensive function calls. Asia-Pacific 3,063
Lua error in mw.title.lua at line 209: too many expensive function calls. Asia-Pacific 6,465

OECD's list of countries by household wealth (USD)

* indicates "Wealth in LOCATION" or "Economy of LOCATION" links.

Mean net wealth per household, in US dollars
OECD (2022).[2]
Location Net household wealth (USD) Trend since 2005
 Luxembourg * 941,162 +2,1%
Lua error in mw.title.lua at line 209: too many expensive function calls. 862,378
Lua error in mw.title.lua at line 209: too many expensive function calls. 684,500 +2,9%
 Iceland * 602,377
 Australia * 528,578 +3,3%
Lua error in mw.title.lua at line 209: too many expensive function calls. 524,422 +0,9%
 New Zealand * 514,162
 Canada * 478,240 +2,6%
 Belgium * 447,607 -0,6%
Lua error in mw.title.lua at line 209: too many expensive function calls. 435,100
 Ireland * 370,341 +10,9%
Lua error in mw.title.lua at line 209: too many expensive function calls. 366,534 -1,7%
 South Korea * 362,340 +3,5%
 Israel * 345,228
 Austria * 309,637 -2,6%
 Germany * 304,317 +1,8%
 France * 298,639 -0,6%
 Italy * 295,020 -5,2%
 Japan * 294,735
 Norway * 268,358 +4,0%
 Portugal * 255,303 -0,9%
 Netherlands * 248,599 +1,4%
 Finland * 230,032 +1,5%
Lua error in mw.title.lua at line 209: too many expensive function calls. 223,286 +1,2%
 Estonia * 188,627 +2,9%
Lua error in mw.title.lua at line 209: too many expensive function calls. 171,425 +2,5%
 Czech Republic * 152,144
 Hungary * 150,296
 Denmark * 149,864 +1,3%
 Greece * 148,323 -5,6%
 Chile * 135,787 +10,4%
 Poland * 133,221
 Mexico * 121,741
Lua error in mw.title.lua at line 209: too many expensive function calls. 103,017
Lua error in mw.title.lua at line 209: too many expensive function calls. 99,761
 Brazil * 95,092
Lua error in mw.title.lua at line 209: too many expensive function calls. 91,755
 Latvia * 79,245

See also

References

  1. ^ a b c d e "Credit Suisse Global Wealth Databook 2022" (PDF). Credit Suisse. Archived (PDF) from the original on September 23, 2022. See table 3-1 for all countries, on pages 119-122, for mean and median wealth, Gini coefficient, distribution of adults (%) by wealth range, and number of adults. All of that info (except the Gini coefficient) is also in table 2-2 on pages 109-112. See the end of table 2-2 on page 112 for regional numbers. Page 4 mentions "46 countries lacking sufficient suitable data for wealth estimation". Pages 20-24 (table 2-1) then feature estimates for GDP per adult for said countries, with wealth data quality characterized as "n.a." (not available).
  2. ^ a b "OECD Better Life Index Income". stats.oecd.org. Retrieved 2022-07-16."Income in Detail by Country" entries include estimates of mean Household net wealth.

External links

Navigation boxes