GDP per capita, PPP - Country rankings
* indicates monthly or quarterly data series
GDP per capita, Purchasing Power Parity, 2023:
The average for 2023 based on 178 countries was 25727 U.S. dollars. The highest value was in Luxembourg: 132414 U.S. dollars and the lowest value was in Burundi: 857 U.S. dollars. The indicator is available from 1990 to 2023. Below is a chart for all countries where data are available.Measure: U.S. dollars; Source: The World Bank
Select indicator
* indicates monthly or quarterly data series
Countries | GDP per capita, PPP, 2023 | Global rank | Available data |
---|---|---|---|
Luxembourg | 132414 | 1 | 1990 - 2023 |
Singapore | 127544 | 2 | 1990 - 2023 |
Ireland | 115625 | 3 | 1990 - 2023 |
Macao | 102020 | 4 | 1990 - 2023 |
Norway | 90501 | 5 | 1990 - 2023 |
Switzerland | 82914 | 6 | 1990 - 2023 |
Brunei | 77919 | 7 | 1990 - 2023 |
UA Emirates | 75627 | 8 | 1990 - 2023 |
USA | 73637 | 9 | 1990 - 2023 |
Denmark | 72034 | 10 | 1990 - 2023 |
Netherlands | 69336 | 11 | 1990 - 2023 |
Iceland | 66451 | 12 | 1990 - 2023 |
Austria | 64644 | 13 | 1990 - 2023 |
Andorra | 64527 | 14 | 1990 - 2023 |
Hong Kong | 64431 | 15 | 1990 - 2023 |
Sweden | 64191 | 16 | 1990 - 2023 |
Belgium | 63572 | 17 | 1990 - 2023 |
Germany | 61909 | 18 | 1990 - 2023 |
Australia | 59456 | 19 | 1990 - 2023 |
Bahrain | 57550 | 20 | 1990 - 2023 |
Finland | 57506 | 21 | 1990 - 2023 |
Malta | 57230 | 22 | 1990 - 2023 |
Canada | 55818 | 23 | 1990 - 2023 |
France | 55214 | 24 | 1990 - 2023 |
UK | 54126 | 25 | 1990 - 2023 |
Italy | 52700 | 26 | 1990 - 2023 |
Kuwait | 50825 | 27 | 1990 - 2023 |
Cyprus | 50578 | 28 | 1990 - 2023 |
South Korea | 50572 | 29 | 1990 - 2023 |
Guyana | 49812 | 30 | 1990 - 2023 |
Saudi Arabia | 49568 | 31 | 1990 - 2023 |
New Zealand | 48778 | 32 | 1990 - 2023 |
Israel | 48278 | 33 | 1990 - 2023 |
Slovenia | 48109 | 34 | 1990 - 2023 |
Czechia | 47731 | 35 | 1990 - 2023 |
Spain | 46357 | 36 | 1990 - 2023 |
Japan | 46268 | 37 | 1990 - 2023 |
Lithuania | 46210 | 38 | 1990 - 2023 |
Poland | 44051 | 39 | 1990 - 2023 |
Puerto Rico | 42995 | 40 | 1990 - 2023 |
Estonia | 41998 | 41 | 1990 - 2023 |
Portugal | 41710 | 42 | 1990 - 2023 |
Croatia | 41344 | 43 | 1990 - 2023 |
Hungary | 40554 | 44 | 1990 - 2023 |
Romania | 40518 | 45 | 1990 - 2023 |
Oman | 40040 | 46 | 1990 - 2023 |
Russia | 39753 | 47 | 1990 - 2023 |
Slovakia | 39260 | 48 | 1990 - 2023 |
Latvia | 37813 | 49 | 1990 - 2023 |
Greece | 36268 | 50 | 1990 - 2023 |
Panama | 35780 | 51 | 1990 - 2023 |
Kazakhstan | 35453 | 52 | 1990 - 2023 |
Turkey | 34414 | 53 | 1990 - 2023 |
Malaysia | 33574 | 54 | 1990 - 2023 |
Bulgaria | 33289 | 55 | 1990 - 2023 |
Bahamas | 32048 | 56 | 1990 - 2023 |
Uruguay | 30702 | 57 | 1990 - 2023 |
Chile | 29507 | 58 | 1990 - 2023 |
Seychelles | 29469 | 59 | 1990 - 2023 |
Ant.& Barb. | 28666 | 60 | 1990 - 2023 |
Tr.&Tobago | 28458 | 61 | 1990 - 2023 |
Montenegro | 27776 | 62 | 1997 - 2023 |
Belarus | 27718 | 63 | 1990 - 2023 |
Mauritius | 26589 | 64 | 1990 - 2023 |
Argentina | 26467 | 65 | 1990 - 2023 |
Costa Rica | 25755 | 66 | 1990 - 2023 |
Serbia | 24511 | 67 | 1995 - 2023 |
North Macedonia | 23424 | 68 | 1990 - 2023 |
Domin. Rep. | 23084 | 69 | 1990 - 2023 |
Saint Lucia | 22650 | 70 | 1990 - 2023 |
Mexico | 22367 | 71 | 1990 - 2023 |
Maldives | 22362 | 72 | 1990 - 2023 |
Georgia | 22247 | 73 | 1990 - 2023 |
China | 22135 | 74 | 1990 - 2023 |
Azerbaijan | 21349 | 75 | 1990 - 2023 |
Thailand | 21113 | 76 | 1990 - 2023 |
Armenia | 20781 | 77 | 1990 - 2023 |
Bosnia & Herz. | 19860 | 78 | 1990 - 2023 |
Gabon | 19782 | 79 | 1990 - 2023 |
Suriname | 18971 | 80 | 1990 - 2023 |
Colombia | 18777 | 81 | 1990 - 2023 |
Brazil | 18554 | 82 | 1990 - 2023 |
Albania | 18060 | 83 | 1990 - 2023 |
St. Vincent & ... | 17915 | 84 | 1990 - 2023 |
Libya | 17704 | 85 | 1990 - 2023 |
Botswana | 17471 | 86 | 1990 - 2023 |
Barbados | 17448 | 87 | 1990 - 2023 |
Egypt | 16961 | 88 | 1990 - 2023 |
Eq. Guinea | 16877 | 89 | 1990 - 2023 |
Mongolia | 16322 | 90 | 1990 - 2023 |
Ukraine | 16231 | 91 | 1990 - 2023 |
Iran | 16154 | 92 | 1990 - 2023 |
Grenada | 15913 | 93 | 1990 - 2023 |
Dominica | 15863 | 94 | 1990 - 2023 |
Palau | 15766 | 95 | 1990 - 2023 |
Paraguay | 15743 | 96 | 1990 - 2023 |
Moldova | 15670 | 97 | 1990 - 2023 |
Algeria | 15348 | 98 | 1990 - 2023 |
Peru | 15068 | 99 | 1990 - 2023 |
Ecuador | 14305 | 100 | 1990 - 2023 |
South Africa | 14284 | 101 | 1990 - 2023 |
Indonesia | 14073 | 102 | 1990 - 2023 |
Vietnam | 13696 | 103 | 1990 - 2023 |
Fiji | 13562 | 104 | 1990 - 2023 |
Sri Lanka | 13030 | 105 | 1990 - 2023 |
Belize | 12795 | 106 | 1990 - 2023 |
Guatemala | 12679 | 107 | 1990 - 2023 |
Iraq | 12591 | 108 | 1990 - 2023 |
Tunisia | 12332 | 109 | 1990 - 2023 |
Lebanon | 12293 | 110 | 1990 - 2023 |
Namibia | 11498 | 111 | 1990 - 2023 |
El Salvador | 11305 | 112 | 1990 - 2023 |
Swaziland | 10583 | 113 | 1990 - 2023 |
Jamaica | 10343 | 114 | 1990 - 2023 |
Philippines | 9695 | 115 | 1990 - 2023 |
Bolivia | 9669 | 116 | 1990 - 2023 |
Jordan | 9421 | 117 | 1990 - 2023 |
India | 9172 | 118 | 1990 - 2023 |
Morocco | 8782 | 119 | 1990 - 2023 |
Uzbekistan | 8766 | 120 | 1990 - 2023 |
Laos | 8406 | 121 | 1990 - 2023 |
Cape Verde | 8190 | 122 | 1990 - 2023 |
Bangladesh | 8172 | 123 | 1990 - 2023 |
Nicaragua | 7250 | 124 | 1990 - 2023 |
Angola | 7247 | 125 | 1990 - 2023 |
Ivory Coast | 7022 | 126 | 1990 - 2023 |
Ghana | 6730 | 127 | 1990 - 2023 |
Honduras | 6499 | 128 | 1990 - 2023 |
Djibouti | 6493 | 129 | 2013 - 2023 |
Kyrgyzstan | 6402 | 130 | 1990 - 2023 |
Mauritania | 6250 | 131 | 1990 - 2023 |
R. of Congo | 6249 | 132 | 1990 - 2023 |
Samoa | 6022 | 133 | 1990 - 2023 |
Kenya | 5700 | 134 | 1990 - 2023 |
Nigeria | 5695 | 135 | 1990 - 2023 |
Pakistan | 5599 | 136 | 1990 - 2023 |
S.T.&Principe | 5466 | 137 | 1990 - 2023 |
Burma | 5323 | 138 | 1990 - 2023 |
Palestine | 5308 | 139 | 1994 - 2023 |
Tuvalu | 5195 | 140 | 1990 - 2023 |
Cambodia | 5069 | 141 | 1990 - 2023 |
Cameroon | 4849 | 142 | 1990 - 2023 |
Nepal | 4671 | 143 | 1990 - 2023 |
Tajikistan | 4581 | 144 | 1990 - 2023 |
Senegal | 4356 | 145 | 1990 - 2023 |
Papua N.G. | 4153 | 146 | 1990 - 2023 |
Guinea | 3992 | 147 | 1990 - 2023 |
Benin | 3829 | 148 | 1990 - 2023 |
Micronesia | 3801 | 149 | 1990 - 2023 |
Zambia | 3719 | 150 | 1990 - 2023 |
Tanzania | 3581 | 151 | 1990 - 2023 |
Zimbabwe | 3515 | 152 | 1990 - 2023 |
Comoros | 3475 | 153 | 1990 - 2023 |
Kiribati | 3174 | 154 | 1990 - 2023 |
Rwanda | 3030 | 155 | 1990 - 2023 |
Vanuatu | 2988 | 156 | 1990 - 2023 |
Haiti | 2934 | 157 | 1990 - 2023 |
Gambia | 2851 | 158 | 1990 - 2023 |
Togo | 2844 | 159 | 1990 - 2023 |
Sudan | 2828 | 160 | 1990 - 2023 |
Ethiopia | 2803 | 161 | 1990 - 2023 |
Uganda | 2793 | 162 | 1990 - 2023 |
Solomon Isl. | 2736 | 163 | 1990 - 2023 |
Lesotho | 2518 | 164 | 1990 - 2023 |
Burkina Faso | 2458 | 165 | 1990 - 2023 |
Mali | 2457 | 166 | 1990 - 2023 |
G.-Bissau | 2371 | 167 | 1990 - 2023 |
Chad | 1775 | 168 | 1990 - 2023 |
Madagascar | 1690 | 169 | 1990 - 2023 |
Malawi | 1683 | 170 | 1990 - 2023 |
Sierra Leone | 1665 | 171 | 1990 - 2023 |
Liberia | 1640 | 172 | 1990 - 2023 |
Niger | 1638 | 173 | 1990 - 2023 |
DR Congo | 1506 | 174 | 1990 - 2023 |
Mozambique | 1494 | 175 | 1990 - 2023 |
Somalia | 1452 | 176 | 1991 - 2023 |
C.A. Republic | 1019 | 177 | 1990 - 2023 |
Burundi | 857 | 178 | 1990 - 2023 |
Definition: GDP per capita based on purchasing power parity (PPP). PPP GDP is gross domestic product converted to international dollars using purchasing power parity rates. An international dollar has the same purchasing power over GDP as the U.S. dollar has in the United States. GDP at purchaser's prices is the sum of gross value added by all resident producers in the economy plus any product taxes and minus any subsidies not included in the value of the products. It is calculated without making deductions for depreciation of fabricated assets or for depletion and degradation of natural resources. Data are in constant 2011 international dollars.
Is the world income inequality getting smaller?
If poor countries grow faster than rich countries, over time they will catch up in terms of their level of income measured by GDP per capita in PPP terms. This process is called income convergence. Alternatively, incomes would diverge if the rich countries grow more rapidly than poor countries. If economic growth is the same everywhere, then the differences in income across countries would remain the same. There are two main reasons for why incomes across countries might converge over time.
Technology spillover. One reason is that innovations and technologies that are developed in the rich countries soon become available in the poor countries. That happens, for example, through foreign direct investment as companies from the rich countries bring new technologies to the poor countries. When the same technology is available everywhere, then incomes would also tend to become equal over time because technology is an important ingredient of economic development.
Based on that argument, incomes would converge faster if a poor country is ready to use the advanced technology. If it has an educated work force and stable political and economic conditions, the technological spillover is more likely to occur. Conversely, if its education system and institutions are not well developed, the new technology cannot be adopted. The income of the country will lag behind the income of countries with better education and institutions.
Diminishing returns. The second reason is that investments in the rich countries are less profitable than investments in the poor countries. Think of it as follows. If an accounting firm (in a rich country) has 10 computers, one more computer will make little difference. If an accounting firm (in a poor country) has no computers at all, then buying one computer would make a big difference. The investment in that first computer would pay off handsomely. Therefore, international investment would flow primarily from the rich countries to the poor countries where profits are greater. This inflow of investment will make poor countries richer.
However, returns could also be increasing, instead of diminishing. In the example above, if the firm has many computers and much experience using them, an additional computer will be put to good use. If it has only one computer, then it may not know what to do with it. In that version of the story, adding investments to already rich firms or countries is more profitable. Then, investment flows to them and makes them even richer. Incomes around the world diverge instead of converging.
What is the evidence? There is income convergence across countries that are already fairly affluent. For example, incomes have converged significantly in the European Union and other rich countries in North America and elsewhere. Looking more broadly, there is no evidence that the incomes of poor countries in Africa, Latin America and elsewhere have gained relative to the rich countries. In fact, when it comes to the poorest countries, there has even been some income divergence.
Selected articles from our guide:
The unholy trinity of international finance
Most commonly used measures of corruption
All articles
If poor countries grow faster than rich countries, over time they will catch up in terms of their level of income measured by GDP per capita in PPP terms. This process is called income convergence. Alternatively, incomes would diverge if the rich countries grow more rapidly than poor countries. If economic growth is the same everywhere, then the differences in income across countries would remain the same. There are two main reasons for why incomes across countries might converge over time.
Technology spillover. One reason is that innovations and technologies that are developed in the rich countries soon become available in the poor countries. That happens, for example, through foreign direct investment as companies from the rich countries bring new technologies to the poor countries. When the same technology is available everywhere, then incomes would also tend to become equal over time because technology is an important ingredient of economic development.
Based on that argument, incomes would converge faster if a poor country is ready to use the advanced technology. If it has an educated work force and stable political and economic conditions, the technological spillover is more likely to occur. Conversely, if its education system and institutions are not well developed, the new technology cannot be adopted. The income of the country will lag behind the income of countries with better education and institutions.
Diminishing returns. The second reason is that investments in the rich countries are less profitable than investments in the poor countries. Think of it as follows. If an accounting firm (in a rich country) has 10 computers, one more computer will make little difference. If an accounting firm (in a poor country) has no computers at all, then buying one computer would make a big difference. The investment in that first computer would pay off handsomely. Therefore, international investment would flow primarily from the rich countries to the poor countries where profits are greater. This inflow of investment will make poor countries richer.
However, returns could also be increasing, instead of diminishing. In the example above, if the firm has many computers and much experience using them, an additional computer will be put to good use. If it has only one computer, then it may not know what to do with it. In that version of the story, adding investments to already rich firms or countries is more profitable. Then, investment flows to them and makes them even richer. Incomes around the world diverge instead of converging.
What is the evidence? There is income convergence across countries that are already fairly affluent. For example, incomes have converged significantly in the European Union and other rich countries in North America and elsewhere. Looking more broadly, there is no evidence that the incomes of poor countries in Africa, Latin America and elsewhere have gained relative to the rich countries. In fact, when it comes to the poorest countries, there has even been some income divergence.
132414
127544
115625
102020
90501
82914
77919
75627
73637
72034
69336
66451
64644
64527
64431
64191
63572
61909
59456
57550
57506
57230
55818
55214
54126
52700
50825
50578
50572
49812
49568
48778
48278
48109
47731
46357
46268
46210
44051
42995
41998
41710
41344
40554
40518
40040
39753
39260
37813
36268
35780
35453
34414
33574
33289
32048
30702
29507
29469
28666
28458
27776
27718
26589
26467
25755
24511
23424
23084
22650
22367
22362
22247
22135
21349
21113
20781
19860
19782
18971
18777
18554
18060
17915
17704
17471
17448
16961
16877
16322
16231
16154
15913
15863
15766
15743
15670
15348
15068
14305
14284
14073
13696
13562
13030
12795
12679
12591
12332
12293
11498
11305
10583
10343
9695
9669
9421
9172
8782
8766
8406
8190
8172
7250
7247
7022
6730
6499
6493
6402
6250
6249
6022
5700
5695
5599
5466
5323
5308
5195
5069
4849
4671
4581
4356
4153
3992
3829
3801
3719
3581
3515
3475
3174
3030
2988
2934
2851
2844
2828
2803
2793
2736
2518
2458
2457
2371
1775
1690
1683
1665
1640
1638
1506
1494
1452
1019
857
0
33103.5
66207
99310.5
132414
GDP per capita, PPP in Europe GDP per capita, PPP in Asia GDP per capita, PPP in Africa GDP per capita, PPP in North America GDP per capita, PPP in South America GDP per capita, PPP in Australia/Oceania GDP per capita, PPP in the European union GDP per capita, PPP in Sub Sahara Africa GDP per capita, PPP in MENA GDP per capita, PPP in South East Asia GDP per capita, PPP in Latin America