List of countries by GDP (nominal) per capita

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Countries or territories by GDP (nominal) per capita in 2023

>$60,000

$50,000 - $60,000

$40,000 - $50,000

$30,000 - $40,000

$20,000 - $30,000

$10,000 - $20,000

$5,000 - $10,000

$2,500 - $5,000

$1,000 - $2,500

$500 - $1,000

<$500

No data

The figures presented here do not take into account differences in the cost of living in different countries, and the results vary greatly from one year to another based on fluctuations in the exchange rates of the country's currency. Such fluctuations change a country's ranking from one year to the next, even though they often make little or no difference to the standard of living of its population.

GDP per capita is often considered an indicator of a country's standard of living;^[1]^[2] however, this is inaccurate because GDP per capita is not a measure of personal income.

Comparisons of national income are also frequently made on the basis of purchasing power parity (PPP), to adjust for differences in the cost of living in different countries. (see List of countries by GDP (PPP) per capita). PPP largely removes the exchange rate problem but not others; it does not reflect the value of economic output in international trade, and it also requires more estimation than GDP per capita. On the whole, PPP per capita figures are more narrowly spread than nominal GDP per capita figures.

Non-sovereign entities (the world, continents, and some dependent territories) and states with limited international recognition (such as Kosovo, Palestine, and Taiwan) are included in the list in cases in which they appear in the sources. These economies are not ranked in the charts here, but are listed in sequence by GDP for comparison. In addition, non-sovereign entities are marked in italics.

Note that several leading GDP-per-capita (nominal) jurisdictions may be considered tax havens, and their GDP data subject to material distortion by tax planning activities. Examples include Bermuda, the Cayman Islands, Ireland, and Luxembourg.^[3]

All data are in current United States dollars. Historical data can be found here.

Table[edit]

The table initially ranks each country or territory with their latest available estimates, and can be reranked by either of the sources.

GDP (in USD) per capita by country (including territories, and countries not included in the IMF report )
Country/Territory	UN Region	IMF^[4]^[5]		World Bank^[6]		United Nations^[7]
Country/Territory	UN Region	Estimate	Year	Estimate	Year	Estimate	Year

Monaco	Europe	N/A		234,316	2021	234,317	2021
Liechtenstein	Europe	N/A		157,755	2020	169,260	2021
Luxembourg	Europe	132,372	2023	133,590	2021	133,745	2021
Ireland	Europe	114,581	2023	100,172	2021	101,109	2021
Bermuda	Americas	N/A		114,090	2021	112,653	2021
Norway	Europe	101,103	2023	89,154	2021	89,242	2021
Switzerland	Europe	98,767	2023	91,992	2021	93,525	2021
Singapore	Asia	91,100	2023	72,794	2021	66,822	2021
Isle of Man	Europe	N/A		87,158	2019	N/A
Cayman Islands	Americas	N/A		86,569	2021	85,250	2021
Qatar	Asia	83,891	2023	66,838	2021	66,799	2021
United States	Americas	80,034	2023	70,249	2021	69,185	2021
Iceland	Europe	75,180	2023	68,728	2021	69,133	2021
Channel Islands	Europe	N/A		75,153	2007	N/A
Faroe Islands	Europe	N/A		69,010	2021	N/A
Denmark	Europe	68,827	2023	68,008	2021	68,037	2021
Australia	Oceania	64,964	2023	60,443	2021	66,916	2021
Netherlands	Europe	61,098	2023	57,768	2021	57,871	2021
Greenland	Americas	N/A		54,571	2020	58,185	2021
Austria	Europe	56,802	2023	53,638	2021	53,840	2021
Israel	Asia	55,535	2023	52,171	2021	54,111	2021
Sweden	Europe	55,395	2023	61,029	2021	60,730	2021
Finland	Europe	54,351	2023	53,655	2021	53,703	2021
Belgium	Europe	53,377	2023	51,247	2021	51,166	2021
San Marino	Europe	52,949	2023	45,320	2020	50,425	2021
Canada	Americas	52,722	2023	51,988	2021	52,112	2021
Hong Kong	Asia	52,429	2023	49,801	2021	49,259	2021
Germany	Europe	51,383	2023	51,204	2021	51,073	2021
Macau	Asia	50,571	2023	43,874	2021	43,555	2021
United Arab Emirates	Asia	49,451	2023	44,316	2021	43,295	2021
British Virgin Islands	Americas	N/A		N/A		49,444	2021
New Zealand	Oceania	48,826	2023	48,781	2021	48,824	2021
United Kingdom	Europe	46,371	2023	46,510	2021	46,542	2021
France	Europe	44,408	2023	43,659	2021	44,229	2021
Andorra	Europe	44,387	2023	42,137	2021	42,066	2021
European Union^{[n 1]}	Europe	39,940	2023	38,411	2021	31,875	^[8]2021
US Virgin Islands	Americas	N/A		39,552	2020	N/A
Puerto Rico	Americas	38,567	2023	32,641	2021	32,716	2021
New Caledonia	Oceania	N/A		37,160	2021	34,994	2021
Malta	Europe	36,989	2023	33,487	2021	33,642	2021
Italy	Europe	36,812	2023	35,658	2021	35,579	2021
Guam	Oceania	N/A		35,905	2021	N/A
Bahamas	Americas	35,458	2023	27,478	2021	27,478	2021
Japan	Asia	35,385	2023	39,313	2021	39,650	2021
Brunei	Asia	35,103	2023	31,449	2021	31,449	2021
Taiwan	Asia	33,907	^{[n 2]}2023	N/A		N/A
Cyprus	Asia	33,807	^{[n 3]}2023	31,552	^{[n 3]}2021	32,281	^{[n 3]}2021
Kuwait	Asia	33,646	2023	24,300	2020	32,150	2021
South Korea	Asia	33,393	2023	34,998	2021	34,940	2021
Lua error: too many expensive function calls.	Americas	33,094	2023	29,342	2021	29,342	2021
Lua error: too many expensive function calls.	Europe	32,214	2023	29,291	2021	29,135	2021
Lua error: too many expensive function calls.	Europe	31,368	2023	26,821	2021	26,809	2021
Lua error: too many expensive function calls.	Europe	31,223	2023	30,104	2021	30,058	2021
Lua error: too many expensive function calls.	Europe	31,209	2023	27,944	2021	27,991	2021
Lua error: too many expensive function calls.	Asia	29,922	2023	23,186	2021	23,186	2021
Lua error: too many expensive function calls.	Asia	28,385	2023	26,563	2021	26,563	2021
Lua error: too many expensive function calls.	Europe	28,094	2023	23,723	2021	23,844	2021
Lua error: too many expensive function calls.	Americas	N/A		28,988	2018	26,199	2021
Lua error: too many expensive function calls.	Europe	26,012	2023	24,568	2021	24,651	2021
Lua error: too many expensive function calls.	Europe	25,136	2023	21,148	2021	21,267	2021
Lua error: too many expensive function calls.	Oceania	N/A		23,707	2019	N/A
Lua error: too many expensive function calls.	Europe	23,457	2023	21,392	2021	21,390	2021
Lua error: too many expensive function calls.	Europe	22,595	2023	20,193	2021	20,571	2021
Lua error: too many expensive function calls.	Asia	21,960	2023	19,510	2021	19,509	2021
Lua error: too many expensive function calls.	Americas	N/A		21,921	2014	N/A
Lua error: too many expensive function calls.	Americas	21,677	2023	17,313	2021	17,313	2021
Lua error: too many expensive function calls.	Americas	21,085	2023	17,226	2021	17,225	2021
Lua error: too many expensive function calls.	Americas	N/A		20,909	2021	20,909	2021
Lua error: too many expensive function calls.	Americas	20,539	2023	9,999	2021	9,999	2021
Lua error: too many expensive function calls.	Europe	20,537	2023	17,685	2021	16,983	2021
Lua error: too many expensive function calls.	Oceania	N/A		19,915	2021	19,915	2021
Lua error: too many expensive function calls.	Europe	19,912	2023	18,000	2021	17,736	2021
Lua error: too many expensive function calls.	Americas	19,858	2023	16,033	2021	16,033	2021
Lua error: too many expensive function calls.	Africa	19,536	2023	14,653	2021	12,085	2021
Lua error: too many expensive function calls.	Europe	19,385	2023	18,728	2021	18,728	2021
Lua error: too many expensive function calls.	Oceania	N/A		N/A		19,264	2021
Lua error: too many expensive function calls.	Americas	N/A		N/A		19,216	2021
Lua error: too many expensive function calls.	Europe	18,530	2023	14,858	2021	14,698	2021
Lua error: too many expensive function calls.	Americas	18,244	2023	15,781	2021	15,246	2021
Lua error: too many expensive function calls.	Americas	17,856	2023	18,083	2021	18,083	2021
Lua error: too many expensive function calls.	Americas	17,827	2023	16,265	2021	16,265	2021
Lua error: too many expensive function calls.	Americas	N/A		17,718	2021	14,183	2021
Lua error: too many expensive function calls.	Asia	17,626	2023	10,366	2021	10,366	2021
Lua error: too many expensive function calls.	Americas	17,350	2023	14,618	2021	14,618	2021
Lua error: too many expensive function calls.	Americas	N/A		N/A		16,199	2021
Lua error: too many expensive function calls.	Oceania	N/A		15,743	2021	N/A
Lua error: too many expensive function calls.	Europe	14,893	2023	12,222	2021	12,207	2021
Lua error: too many expensive function calls.	Oceania	14,804	2023	12,084	2021	12,084	2021
Lua error: too many expensive function calls.	Americas	14,733	2023	12,472	2021	12,472	2021
Lua error: too many expensive function calls.	Europe	14,403	2023	12,195	2021	12,259	2021
Lua error: too many expensive function calls.	Asia	13,721	^{[n 4]}2023	12,556	^{[n 5]}2021	12,437	^{[n 4]}2021
Lua error: too many expensive function calls.	Americas	13,709	2023	10,636	2021	10,761	2021
World		13,440	2023	12,235	2021	12,230	2021
Lua error: too many expensive function calls.	Asia	13,382	2023	11,109	2021	11,101	2021
Lua error: too many expensive function calls.	Asia	13,065	2023	7,345	2019	8,508	2021
Lua error: too many expensive function calls.	Americas	12,673	2023	10,046	2021	10,046	2021
Lua error: too many expensive function calls.	Asia	12,306	2023	10,374	2021	10,055	2021
Lua error: too many expensive function calls.	Americas	12,264	2023	9,414	2021	9,824	2021
Lua error: too many expensive function calls.	Asia	11,931	2023	9,661	2021	9,661	2021
Lua error: too many expensive function calls.	Oceania	11,825	2023	10,648	2021	12,390	2021
Lua error: too many expensive function calls.	Africa	11,548	2023	9,106	2021	8,873	2021
Lua error: too many expensive function calls.	Americas	11,308	2023	8,477	2021	8,477	2021
Lua error: too many expensive function calls.	Europe	11,289	2023	9,466	2021	9,252	2021
Lua error: too many expensive function calls.	Americas	N/A		9,499	2020	11,255	2021
Lua error: too many expensive function calls.	Americas	11,137	2023	9,011	2021	8,950	2021
Lua error: too many expensive function calls.	Europe	10,849	2023	9,230	2021	8,643	2021
Lua error: too many expensive function calls.	Africa	9,777	2023	7,507	2021	7,605	2021
Lua error: too many expensive function calls.	Americas	9,673	2023	7,507	2021	7,507	2021
Lua error: too many expensive function calls.	Americas	9,359	2023	8,666	2021	8,440	2021
Lua error: too many expensive function calls.	Africa	9,294	2023	8,635	2021	7,911	2021
Lua error: too many expensive function calls.	Americas	9,144	2023	7,653	2021	7,571	2021
Lua error: too many expensive function calls.	Europe	8,223	2023	7,143	2021	7,143	2021
Lua error: too many expensive function calls.	Asia	8,181	2023	7,066	2021	7,067	2021
Lua error: too many expensive function calls.	Asia	8,007	2023	4,967	2021	4,967	2021
Lua error: too many expensive function calls.	Europe	7,944	2023	7,302	2021	7,121	2021
Lua error: too many expensive function calls.	Americas	7,772	2023	6,622	2021	6,622	2021
Lua error: too many expensive function calls.	Asia	7,600	^{[n 6]}2023	5,023	^{[n 6]}2021	4,975	^{[n 6]}2021
Lua error: too many expensive function calls.	Europe	7,384	2023	6,695	2021	6,600	2021
Lua error: too many expensive function calls.	Africa	7,270	2023	6,805	2021	6,805	2021
Lua error: too many expensive function calls.	Europe	7,058	2023	6,493	2021	6,396	2021
Lua error: too many expensive function calls.	Americas	7,017	2023	6,228	2021	6,229	2021
Lua error: too many expensive function calls.	Africa	6,763	2023	6,357	2021	5,791	2021
Lua error: too many expensive function calls.	Asia	6,757	2023	5,388	2021	5,296	2021
Lua error: too many expensive function calls.	Americas	6,642	2023	5,965	2021	5,965	2021
Lua error: too many expensive function calls.	Africa	6,485	2023	7,055	2021	7,055	2021
Lua error: too many expensive function calls.	Americas	6,417	2023	6,104	2021	6,104	2021
Lua error: too many expensive function calls.	Europe	6,342	^{[n 7]}2023	5,231	^{[n 7]}2021	4,468	^{[n 7]}2021
Lua error: too many expensive function calls.	Americas	6,282	2023	5,184	2021	5,184	2021
Lua error: too many expensive function calls.	Asia	6,180	2023	4,775	2021	4,686	2021
Lua error: too many expensive function calls.	Oceania	6,007	2023	5,632	2021	5,370	2021
Lua error: too many expensive function calls.	Oceania	5,887	2023	4,647	2021	4,647	2021
Lua error: too many expensive function calls.	Americas	5,667	2023	5,892	2021	6,035	2021
Lua error: too many expensive function calls.	Europe	5,641	2023	5,270	2021	5,663	2021
Lua error: too many expensive function calls.	Americas	5,556	2023	4,869	2021	5,259	2021
Lua error: too many expensive function calls.	Oceania	5,421	2023	4,426	2021	4,451	2021
Lua error: too many expensive function calls.	Americas	5,358	2023	5,026	2021	4,883	2021
Lua error: too many expensive function calls.	Americas	5,308	2023	4,551	2021	4,551	2021
Lua error: too many expensive function calls.	Oceania	5,164	2023	6,172	2021	6,111	2021
Lua error: too many expensive function calls.	Africa	5,100	2023	4,866	2021	4,836	2021
Lua error: too many expensive function calls.	Asia	5,048	2023	4,103	2021	4,058	2021
Lua error: too many expensive function calls.	Asia	5,016	2023	4,333	2021	4,333	2021
Lua error: too many expensive function calls.	Asia	4,814	2023	4,566	2021	4,510	2021
Lua error: too many expensive function calls.	Europe	4,654	^{[n 8]}2023	4,836	^{[n 8]}2021	4,596	^{[n 8]}2021
Lua error: too many expensive function calls.	Africa	4,481	2023	3,691	2021	3,700	2021
Lua error: too many expensive function calls.	Asia	4,475	2023	3,757	2021	3,756	2021
Lua error: too many expensive function calls.	Oceania	4,436	2023	3,857	2021	3,919	2021
Lua error: too many expensive function calls.	Oceania	4,336	2023	3,571	2021	3,573	2021
Lua error: too many expensive function calls.	Africa	4,278	2023	3,293	2021	3,293	2021
Lua error: too many expensive function calls.	Asia	4,251	2023	4,091	2021	6,766	2021
Lua error: too many expensive function calls.	Africa	4,146	2023	3,978	2021	3,969	2021
Lua error: too many expensive function calls.	Asia	3,589	2020	4,136	2021	6,785	2021
Lua error: too many expensive function calls.	Africa	4,071	2023	3,807	2021	3,807	2021
Lua error: too many expensive function calls.	Asia	3,905	2023	3,461	2021	3,461	2021
Lua error: too many expensive function calls.	Africa	3,802	2023	3,150	2021	3,348	2021
Lua error: too many expensive function calls.	Americas	3,800	2023	3,345	2021	3,345	2021
Lua error: too many expensive function calls.	Africa	3,748	2023	3,795	2021	3,853	2021
Lua error: too many expensive function calls.	Africa	3,644	2023	3,699	2021	3,898	2021
Lua error: too many expensive function calls.	Americas	3,640	2023	15,976	2014	3,965	2021
Lua error: too many expensive function calls.	Oceania	3,517	2023	2,673	2021	2,673	2021
Lua error: too many expensive function calls.	Asia	3,506	^{[n 9]}2023	3,664	^{[n 9]}2021	3,514	^{[n 10]}2021
Lua error: too many expensive function calls.	Asia	3,497	2023	3,266	2021	3,063	2021
Lua error: too many expensive function calls.	Asia	3,362	2022	4,014	2021	3,918	2021
Lua error: too many expensive function calls.	Americas	3,278	2023	2,772	2021	2,772	2021
Lua error: too many expensive function calls.	Africa	3,204	2023	1,954	2021	2,258	2021
Lua error: too many expensive function calls.	Oceania	3,188	2023	2,997	2021	3,073	2021
Lua error: too many expensive function calls.	Africa	2,695	2023	2,361	2021	2,486	2021
Lua error: too many expensive function calls.	Africa	2,646	2023	2,549	2021	2,539	2021
Lua error: too many expensive function calls.	Asia	2,601	2023	2,257	2021	2,274	2021
Lua error: too many expensive function calls.	Americas	2,589	2023	2,046	2021	2,046	2021
Lua error: too many expensive function calls.	Africa	2,584	2023	2,290	2021	2,200	2021
Lua error: too many expensive function calls.	Asia	2,563	2023	1,983	2021	2,032	2021
Lua error: too many expensive function calls.	Africa	2,475	2023	2,166	2021	2,166	2021
Lua error: too many expensive function calls.	Asia	2,469	2023	2,458	2021	2,450	2021
Lua error: too many expensive function calls.	Oceania	2,299	2023	2,305	2021	2,306	2021
Lua error: too many expensive function calls.	Africa	2,280	2023	2,066	2021	2,019	2021
Lua error: too many expensive function calls.	Africa	2,269	2023	2,082	2021	2,082	2021
Lua error: too many expensive function calls.	Americas	2,173	2023	1,830	2021	1,664	2021
Lua error: too many expensive function calls.	Africa	2,024	2023	2,363	2021	2,409	2021
Lua error: too many expensive function calls.	Oceania	1,989	2023	1,607	2021	1,765	2021
Lua error: too many expensive function calls.	Asia	1,896	2023	1,625	2021	1,608	2021
Lua error: too many expensive function calls.	Asia	1,858	2023	2,536	2021	2,569	2021
Lua error: too many expensive function calls.	Africa	1,851	2023	1,774	2021	1,508	2021
Lua error: too many expensive function calls.	Asia	1,736	2023	1,277	2021	1,339	2021
Lua error: too many expensive function calls.	Africa	1,719	2023	1,637	2021	1,637	2021
Lua error: too many expensive function calls.	Africa	1,699	2023	1,667	2021	1,668	2021
Lua error: too many expensive function calls.	Asia	1,658	2022	1,505	2021	1,480	2021
Lua error: too many expensive function calls.	Africa	1,549	2023	1,189	2021	1,185	2021
Lua error: too many expensive function calls.	Africa	1,475	2023	925	2021	825	2021
Lua error: too many expensive function calls.	Asia	1,425	2023	2,741	2021	1,517	2021
Lua error: too many expensive function calls.	Africa	1,423	2023	1,137	2021	1,095	2021
Lua error: too many expensive function calls.	Africa	1,390	2023	1,319	2021	1,361	2021
Lua error: too many expensive function calls.	Asia	1,377	2023	1,208	2021	1,159	2021
Lua error: too many expensive function calls.	Africa	1,360	2023	1,578	2021	1,631	2021
Lua error: too many expensive function calls.	Africa	1,348	2023	1,099	2021	1,136	^{[n 11]}2021
Lua error: too many expensive function calls.	Asia	1,277	2023	897	2021	897	2021
Lua error: too many expensive function calls.	Africa	N/A		N/A		1,211	2021
Lua error: too many expensive function calls.	Africa	1,208	2023	1,094	2021	1,040	2021
Lua error: too many expensive function calls.	Asia	1,180	2023	1,210	2021	1,089	2021
Lua error: too many expensive function calls.	Africa	1,105	2023	884	2021	930	2021
Lua error: too many expensive function calls.	Africa	990	2023	973	2021	944	2021
Lua error: too many expensive function calls.	Africa	975	2023	752	2021	786	2021
Lua error: too many expensive function calls.	Africa	974	2023	795	2021	759	2021
Lua error: too many expensive function calls.	Africa	970	2023	822	2021	822	2021
Lua error: too many expensive function calls.	Asia	N/A		533	2020	925	2021
Lua error: too many expensive function calls.	Africa	900	2023	893	2021	893	2021
Lua error: too many expensive function calls.	Africa	889	2023	874	2021	875	2021
Lua error: too many expensive function calls.	Africa	861	2023	772	2021	772	2021
Lua error: too many expensive function calls.	Africa	805	2023	676	2021	471	2021
Lua error: too many expensive function calls.	Africa	715	2023	644	2011	623	2021
Lua error: too many expensive function calls.	Africa	695	2023	577	2021	551	2021
Lua error: too many expensive function calls.	Africa	667	2023	686	2021	955	2021
Lua error: too many expensive function calls.	Asia	N/A		N/A		654	2021
Lua error: too many expensive function calls.	Africa	613	2023	591	2021	591	2021
Lua error: too many expensive function calls.	Africa	587	2023	492	2021	492	2021
Lua error: too many expensive function calls.	Asia	573	2023	702	2018	302	2021
Lua error: too many expensive function calls.	Africa	544	2023	447	2021	447	2021
Lua error: too many expensive function calls.	Africa	536	2023	501	2021	500	2021
Lua error: too many expensive function calls.	Africa	534	2023	461	2021	461	2021
Lua error: too many expensive function calls.	Africa	496	2023	635	2021	613	2021
Lua error: too many expensive function calls.	Africa	467	2023	1,072	2015	400	2021
Lua error: too many expensive function calls.	Africa	415	2023	480	2021	505	2021
Lua error: too many expensive function calls.	Asia	611	2020	369	2021	373	2021
Lua error: too many expensive function calls.	Africa	249	2023	222	2021	311	2021

Notes:

Data unavailable for the Falkland Islands, Gibraltar, Guernsey, the Holy See (Vatican City), Jersey, Niue, the Pitcairn Islands, Saint Helena, Ascension and Tristan da Cunha, Tokelau, and Western Sahara.
Nearly all country links in the table (except that of Zanzibar) take to articles titled "Income in country or territory" or to "Economy of country or territory".

Distorted GDP-per-capita for tax havens[edit]

Many of the leading GDP-per-capita (nominal) jurisdictions are tax havens whose economic data is artificially inflated by tax-driven corporate accounting entries.

For instance, the Irish GDP data above is subject to material distortion by the tax planning activities of foreign multinationals in Ireland. To address this, in 2017 the Central Bank of Ireland created "modified GNI" (or GNI*) as a more appropriate statistic, and the OECD and IMF have adopted it for Ireland. 2015 Irish GDP is 143% of 2015 Irish GNI*.

A stunning $12 trillion—almost 40 percent of all foreign direct investment positions globally—is completely artificial: it consists of financial investment passing through empty corporate shells with no real activity. These investments in empty corporate shells almost always pass through well-known tax havens. The eight major pass-through economies—the Netherlands, Luxembourg, Hong Kong SAR, the British Virgin Islands, Bermuda, the Cayman Islands, Ireland, and Singapore—host more than 85 percent of the world’s investment in special purpose entities, which are often set up for tax reasons.
— "Piercing the Veil", International Monetary Fund, June 2018^[9]

Further discussion on this topic can be found in the List of countries by GDP (PPP) per capita article.

Notes[edit]

↑ The European Union is included because it is far more than a free trade association such as ASEAN, NAFTA, or Mercosur. It has certain attributes associated with independent countries: its own flag, anthem, currency (for some members), parliament and other law-making abilities, as well as diplomatic representation and a common foreign and security policy when dealing with external partners. However, because the EU is an organization and not a sovereign state, it does not receive a ranking in this list.
↑ The name used by the IMF is the "Taiwan Province of China".
↑ ^3.0 ^3.1 ^3.2 Data are for the area controlled by the Government of the Republic of Cyprus.
↑ ^4.0 ^4.1 Figures for China exclude Taiwan, and the special administrative regions of Hong Kong and Macau.
↑ Figures exclude special administrative regions of Hong Kong and Macau.
↑ ^6.0 ^6.1 ^6.2 Excludes Abkhazia and South Ossetia.
↑ ^7.0 ^7.1 ^7.2 Excludes data for Transnistria.
↑ ^8.0 ^8.1 ^8.2 Figures exclude the Republic of Crimea and Sevastopol.
↑ ^9.0 ^9.1 The name used by the IMF and World Bank is the "West Bank and Gaza"
↑ The name used by the UN is the "State of Palestine".
↑ The UN figure excludes autonomous region of Zanzibar.

References[edit]

↑ O'Sullivan, Arthur
↑ French President seeks alternatives to GDP, The Guardian 14-09-2009.
"European Parliament, Policy Department Economic and Scientific Policy: Beyond GDP Study" (PDF). (1.47 MB)
↑ Richard Phillips; Matt Gardner; Alexandria Robins; Michelle Surka (2017). "Offshore Shell Games 2017" (PDF). Institute on Taxation and Economic Policy.
↑ "World Economic Outlook Database, April 2023". IMF.org. International Monetary Fund. 10 April 2023. Retrieved 14 April 2023.
↑ "IMF DataMapper / Datasets / World Economic Outlook (April 2023) / GDP per capita, current prices / List (2023) - Analytical group: European Union, World". IMF.org. International Monetary Fund. 10 April 2023. Retrieved 12 April 2023.
↑ "GDP per capita (current US$)". World Development Indicators. The World Bank. Retrieved 14 January 2023.{{cite web}}: CS1 maint: url-status (link)
↑ [1], (Select all countries, "GDP, Per Capita GDP - US Dollars", and "2021" to generate the table), United Nations Statistics Division. Access date: 12 February 2023.
↑ United Nations Statistics Division - National Accounts - Basic Data Selection, unstats.un.org. Manually select the 27 member states, the latest available year (2020) and the parameter "GDP, Per Capita GDP - US Dollars", then press "Send request" to generate the table. Export the table as an Excel file ("Export to .xlsx" button), where you can use the Average formula to determine the GDP per capita at EU level. United Nations. Retrieved 17 November 2022.
↑ "Piercing the Veil, FINANCE & DEVELOPMENT, JUNE 2018, VOL. 55, NO. 2". IMF Finance & Development. June 2018.

External links[edit]

Chart of GDP per capita at current US$ prices by Google, World Bank data
World Map and Chart of GDP per capita at current prices by Lebanese-economy-forum, World Bank data
IMF DataMapper

Template:Global economic classifications

[EU-8] The European Union is included because it is far more than a free trade association such as ASEAN, NAFTA, or Mercosur. It has certain attributes associated with independent countries: its own flag, anthem, currency (for some members), parliament and other law-making abilities, as well as diplomatic representation and a common foreign and security policy when dealing with external partners. However, because the EU is an organization and not a sovereign state, it does not receive a ranking in this list.

[Taiwan-10] The name used by the IMF is the "Taiwan Province of China".

[Cyprus-11] 3.0 ^3.1 ^3.2 Data are for the area controlled by the Government of the Republic of Cyprus.

[China-THM-12] 4.0 ^4.1 Figures for China exclude Taiwan, and the special administrative regions of Hong Kong and Macau.

[China-HM-13] Figures exclude special administrative regions of Hong Kong and Macau.

[Georgia-14] 6.0 ^6.1 ^6.2 Excludes Abkhazia and South Ossetia.

[Moldova-15] 7.0 ^7.1 ^7.2 Excludes data for Transnistria.

[Ukraine-16] 8.0 ^8.1 ^8.2 Figures exclude the Republic of Crimea and Sevastopol.

[WBG-17] 9.0 ^9.1 The name used by the IMF and World Bank is the "West Bank and Gaza"

[Palestine-18] The name used by the UN is the "State of Palestine".

[Tanzania-19] The UN figure excludes autonomous region of Zanzibar.

[1] O'Sullivan, Arthur

[2] French President seeks alternatives to GDP, The Guardian 14-09-2009.
"European Parliament, Policy Department Economic and Scientific Policy: Beyond GDP Study" (PDF). (1.47 MB)

[3] Richard Phillips; Matt Gardner; Alexandria Robins; Michelle Surka (2017). "Offshore Shell Games 2017" (PDF). Institute on Taxation and Economic Policy.

[GDP_IMF-4] "World Economic Outlook Database, April 2023". IMF.org. International Monetary Fund. 10 April 2023. Retrieved 14 April 2023.

[5] "IMF DataMapper / Datasets / World Economic Outlook (April 2023) / GDP per capita, current prices / List (2023) - Analytical group: European Union, World". IMF.org. International Monetary Fund. 10 April 2023. Retrieved 12 April 2023.

[worldbank-6] "GDP per capita (current US$)". World Development Indicators. The World Bank. Retrieved 14 January 2023.{{cite web}}: CS1 maint: url-status (link)

[7] [1], (Select all countries, "GDP, Per Capita GDP - US Dollars", and "2021" to generate the table), United Nations Statistics Division. Access date: 12 February 2023.

[9] United Nations Statistics Division - National Accounts - Basic Data Selection, unstats.un.org. Manually select the 27 member states, the latest available year (2020) and the parameter "GDP, Per Capita GDP - US Dollars", then press "Send request" to generate the table. Export the table as an Excel file ("Export to .xlsx" button), where you can use the Average formula to determine the GDP per capita at EU level. United Nations. Retrieved 17 November 2022.

[imfx-20] "Piercing the Veil, FINANCE & DEVELOPMENT, JUNE 2018, VOL. 55, NO. 2". IMF Finance & Development. June 2018.

[1]

[2]

[3]

[4]

[5]

[6]

[7]

[n 1]

[8]

[n 2]

[n 3]

[n 4]

[n 5]

[n 6]

[n 7]

[n 8]

[n 9]

[n 10]

[n 11]

[9]

v t e Lists of countries by GDP rankings
Nominal	Per capita Past and projected per capita Sector composition
Purchasing power parity (PPP)	Per capita Past per capita Past and projected per capita Private consumption per capita Per person employed Ten largest historically
Growth rate	African countries Asian states European Union member states European countries Latin American and Caribbean countries Oceanian countries Per capita 1980–2010 growth Industrial growth
Gross national income (GNI)	PPP per capita Nominal per capita
Countries by region	Africa PPP nominal Commonwealth of Nations PPP nominal Latin America & Caribbean PPP nominal North America PPP nominal nominal per capita South America PPP Arab League nominal and per capita PPP and per capita ASEAN subdivision Asia Asia & Pacific PPP Former Soviet Republics Europe PPP PPP per capita nominal nominal per capita Oceania PPP PPP per capita nominal nominal per capita
Subnational divisions	Albania Argentina Australia Austria Baltic States Belarus Belgium Brazil Bulgaria Canada Chile per capita China per capita Colombia Croatia Czech Republic Finland France nominal nominal per capita Germany nominal nominal per capita Greece Hungary India PPP per capita Indonesia per capita Cities Italy nominal per capita Japan per capita Kenya Malaysia Mexico per capita Mongolia Netherlands Nigeria Nepal Norway Pakistan Peru Philippines Poland Portugal Romania Russia per capita Serbia Slovakia South Africa per capita South Korea Spain Sweden Switzerland Ukraine United Kingdom nominal nominal per capita United States nominal per capita Taiwan Tanzania Thailand Turkey Vietnam OECD *Top country subdivisions by GDP
Lists of countries by financial rankings List of international rankings Lists by country

v t e Lists of countries by financial rankings
Trade	Account balance % of GDP Exports by product merchandise net per capita service exports Imports Trade-to-GDP ratio Tariff rate Leading trade partners
Investment	FDI received past FDI abroad GFI
Funds	Forex reserves Forex reserves (ex. gold) Gold reserves Sovereign wealth funds Pension funds Creditor nations Debtor nations
Budget and debt	Government budget PPP % of GDP per capita Credit rating External debt Public debt future Household debt Corporate debt
Income and taxes	Tax rates Inheritance tax Tax revenue Wage average median minimum
Bank rates	Central bank interest rate Commercial bank prime lending rate
Currency	Exchange rates to US$ Inflation rate
Other	Financial Development Index Average annual labor hours Corporate governance Development aid Ease of doing business Gross national savings Employment/Unemployment Financial assets Labour productivity Wealth
Lists of countries by GDP rankings List of international rankings Lists by country

Table[edit]

Distorted GDP-per-capita for tax havens[edit]

See also[edit]

Notes[edit]

References[edit]

External links[edit]