Finance:List of countries by GDP (nominal)

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<timeline>

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bar:US from:start till:26.85
bar:China from:start till:19.37
bar:Japan from:start till:4.40
bar:Germany from:start till:4.30
bar:India from:start till:3.73
bar:UK from:start till:3.15
bar:France from:start till:2.93
bar:Italy from:start till:2.16
bar:Canada from:start till:2.08
bar:Brazil from:start till:2.08

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bar:China at:20.37 fontsize:S text: 19.37 shift:(-12,0)
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bar:India at:4.37 fontsize:S text: 3.73 shift:(-9,0)
bar:UK at:4.15 fontsize:S text: 3.15 shift:(-9,0)
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bar:Italy at:3.16 fontsize:S text: 2.16 shift:(-9,0)
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</timeline>

Largest economies in the world by GDP (nominal) in 2023
according to International Monetary Fund estimates[n 1][1]
Countries by nominal GDP in 2019[n 2]
  > $20 trillion
  $10–20 trillion
  $5–10 trillion
  $1–5 trillion
  $750 billion – $1 trillion
  $500–750 billion
  $250–500 billion
  $100–250 billion
  $50–100 billion
  $25–50 billion
  $5–25 billion
  < $5 billion

Gross domestic product (GDP) is the market value of all final goods and services from a nation in a given year.[2] Countries are sorted by nominal GDP estimates from financial and statistical institutions, which are calculated at market or government official exchange rates. Nominal GDP does not take into account differences in the cost of living in different countries, and the results can vary greatly from one year to another based on fluctuations in the exchange rates of the country's currency.[3] Such fluctuations may change a country's ranking from one year to the next, even though they often make little or no difference in the standard of living of its population.[4]

Comparisons of national wealth are also frequently made on the basis of purchasing power parity (PPP), to adjust for differences in the cost of living in different countries. Other metrics, nominal GDP per capita and a corresponding GDP (PPP) per capita are used for comparing national standard of living. On the whole, PPP per capita figures are less spread than nominal GDP per capita figures.[5]

The rankings of national economies over time have changed considerably; the United States surpassed the British Empire's output around 1916,[6] which in turn had surpassed the Qing dynasty in aggregate output decades earlier.[7][8] Since China's transition to a socialist market economy through controlled privatisation and deregulation,[9][10] the country has seen its ranking increase from ninth in 1978, to second in 2010; China's economic growth accelerated during this period and its share of global nominal GDP surged from 2% in 1980 to 18% in 2021.[8][1][11] Among others, India has also experienced an economic boom since the implementation of economic liberalisation in the early 1990s.[12]

The first list includes estimates compiled by the International Monetary Fund's World Economic Outlook, the second list shows the World Bank's data, and the third list includes data compiled by the United Nations Statistics Division. The IMF definitive data for the past year and estimates for the current year are published twice a year in April and October. Non-sovereign entities (the world, continents, and some dependent territories) and states with limited international recognition (such as Kosovo and Taiwan) are included in the list where they appear in the sources.

Table

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

The links in the "Country/Territory" row of the following table link to the article on the GDP or the economy of the respective country or territory.

|+GDP (USD million) by country ! rowspan=2 | Country/Territory ! rowspan=2 | UN region ! colspan=2 | IMF[1][13] ! colspan=2 | World Bank[14] ! colspan=2 | United Nations [15] ! Estimate !! Year !! Estimate !! Year !! Estimate !! Year | style=text-align:left| World || style=text-align:center| — || <section begin="IMF value"/>105,568,776<section end="IMF value"/> || <section begin="IMF year"/>2023<section end="IMF year"/> || 96,513,077 || 2021 || 85,328,323 || 2020 |- |  United States ||style=text-align:center|Americas || 26,854,599 || 2023 || 22,996,100 || 2021 || 23,315,081 || 2021 |- |  China ||style=text-align:center|Asia || 19,373,586 ||[n 1]2023 || 17,734,063 ||[n 3]2021 || 17,734,131 ||[n 1]2021 |- |  Japan ||style=text-align:center|Asia || 4,409,738 || 2023 || 4,937,422 || 2021 || 4,940,878 || 2021 |- |  Germany ||style=text-align:center|Europe || 4,308,854 || 2023 || 4,223,116 || 2021 || 4,259,935 || 2021 |- |  India ||style=text-align:center|Asia || 3,736,882 || 2023 || 3,173,398 || 2021 || 3,201,471 || 2021 |- |  United Kingdom ||style=text-align:center|Europe || 3,158,938 || 2023 || 3,186,860 || 2021 || 3,131,378 || 2021 |- |  France ||style=text-align:center|Europe || 2,923,489 || 2023 || 2,937,473 || 2021 || 2,957,880 || 2021 |- |  Italy ||style=text-align:center|Europe || 2,169,745 || 2023 || 2,107,703 || 2021 || 2,107,703 || 2021 |- |  Canada ||style=text-align:center|Americas || 2,089,672 || 2023 || 1,988,336 || 2021 || 1,988,336 || 2021 |- |  Brazil ||style=text-align:center|Americas || 2,081,235 || 2023 || 1,608,981 || 2021 || 1,608,981 || 2021 |- |  Russia ||style=text-align:center|Europe || 2,062,649 || 2023 || 1,775,800 || 2021 || 1,778,782 || 2021 |- |  South Korea ||style=text-align:center|Asia || 1,721,909 || 2023 || 1,798,534 || 2021 || 1,810,966 || 2021 |- |  Australia ||style=text-align:center|Oceania || 1,707,548 || 2023 || 1,542,660 || 2021 || 1,734,532|| 2021 |- |  Mexico ||style=text-align:center|Americas || 1,663,164|| 2023 || 1,293,038 || 2021 || 1,272,839 || 2021 |- |  Spain ||style=text-align:center|Europe || 1,492,432 || 2023 || 1,425,277 || 2021 || 1,427,381 || 2021 |- |  Indonesia ||style=text-align:center|Asia || 1,391,778 || 2023 || 1,186,093 || 2021 || 1,186,093 || 2021 |- |  Netherlands ||style=text-align:center|Europe || 1,080,880 || 2023 || 1,018,007 || 2021 || 1,012,847 || 2021 |- |  Saudi Arabia ||style=text-align:center|Asia || 1,061,902 || 2023 || 833,541 || 2021 || 833,541 || 2021 |- |  Turkey ||style=text-align:center|Asia || 1,029,303 || 2023 || 815,272 || 2021 || 819,034 || 2021 |- |  Switzerland ||style=text-align:center|Europe || 869,601 || 2023 || 812,867 || 2021 || 812,867 || 2021 |- |  Taiwan ||style=text-align:center|Asia || 790,728 ||[n 4]2023 || colspan=2 data-sort-value="" style="background: #ececec; color: #2C2C2C; vertical-align: middle; font-size: smaller; text-align: center; " class="table-na" | N/A || 669,324 ||[16]2020 |- |  Poland ||style="text-align:center" |Europe || 748,887 || 2023 || 674,048 || 2021 || 596,618 || 2020 |- |  Argentina ||style=text-align:center|Americas || 641,102 || 2023 || 491,493 || 2021 || 383,067 || 2020 |- |  Belgium ||style="text-align:center" |Europe || 624,248 || 2023 || 599,879 || 2021 || 521,861 || 2020 |- |  Sweden ||style="text-align:center" |Europe || 599,052 || 2023 || 627,438 || 2021 || 541,064 || 2020 |- |  Ireland ||style=text-align:center|Europe || 594,095 || 2023 || 498,560 || 2021 || 425,889 || 2020 |- |  Thailand ||style="text-align:center" |Asia || 574,231 || 2023 || 505,982 || 2021 || 501,795 || 2020 |- |  Norway ||style=text-align:center|Europe || 554,105 || 2023 || 482,437 || 2021 || 362,522 || 2020 |- |  Israel ||style=text-align:center|Asia || 539,223 || 2023 || 481,591 || 2021 || 407,101 || 2020 |- |  Singapore ||style=text-align:center|Asia || 515,548 || 2023 || 396,987 || 2021 || 339,988 || 2020 |- |  Austria ||style=text-align:center|Europe || 515,199 || 2023 || 477,083 || 2021 || 433,258 || 2020 |- |  Nigeria ||style=text-align:center|Africa || 506,601 || 2023 || 440,777 || 2021 || 429,899 || 2020 |- |  United Arab Emirates ||style=text-align:center|Asia || 498,978 || 2023 || 358,869 || 2021 || 358,869 || 2020 |- |  Vietnam ||style=text-align:center|Asia || 449,094 || 2023 || 362,638 || 2021 || 271,158 || 2020 |- |  Malaysia ||style=text-align:center|Asia || 447,026 || 2023 || 372,701 || 2021 || 336,664 || 2020 |- |  Philippines ||style=text-align:center|Asia || 440,901 || 2023 || 394,086 || 2021 || 361,489 || 2020 |- |  Bangladesh ||style=text-align:center|Asia || 420,516 || 2023 || 416,265 || 2021 || 329,484 || 2020 |- |  Denmark ||style=text-align:center|Europe || 405,626 || 2023 || 397,104 || 2021 || 356,085 || 2020 |- |  South Africa ||style=text-align:center|Africa ||399,015 || 2023 || 419,946 || 2021 || 302,141 || 2020 |- |  Hong Kong ||style=text-align:center|Asia || 382,854 ||[n 5]2023 || 368,139 || 2021 || 349,445 || 2020 |- |  Egypt ||style=text-align:center|Africa || 378,110 || 2023 || 404,143 || 2021 || 369,309 || 2020 |- |  Pakistan ||style=text-align:center|Asia || 376,493 || 2022 || 346,343 || 2021 || 257,829 || 2020 |- |  Iran ||style=text-align:center|Asia || 367,970 || 2023 || 359,713 || 2021 || 594,892 || 2021 |- |  Chile ||style=text-align:center|Americas || 358,557 || 2023 || 317,059 || 2021 || 252,940 || 2020 |- |  Romania ||style=text-align:center|Europe || 348,902 || 2023 || 284,088 || 2021 || 248,716 || 2020 |- |  Colombia ||style=text-align:center|Americas || 334,689 || 2023 || 314,323 || 2021 || 271,347 || 2020 |- |  Czech Republic ||style=text-align:center|Europe || 330,483 || 2023 || 282,341 || 2021 || 245,349 || 2020 |- |  Finland ||style=text-align:center|Europe || 301,670 || 2023 || 299,155 || 2021 || 269,751 || 2020 |- |  Peru ||style=text-align:center|Americas || 268,235 || 2023 || 223,250 || 2021 || 203,196 || 2020 |- |  Iraq ||style=text-align:center|Asia || 267,893 || 2023 || 207,889 || 2021 || 166,757 || 2020 |- |  Portugal ||style=text-align:center|Europe || 267,721 || 2023 || 249,887 || 2021 || 228,539 || 2020 |- |  New Zealand ||style=text-align:center|Oceania || 251,969 || 2023 || 249,992 || 2021 || 212,044 || 2020 |- |  Kazakhstan ||style=text-align:center|Asia || 245,695 || 2023 || 190,814 || 2021 || 171,082 || 2020 |- |  Greece ||style=text-align:center|Europe || 239,300 || 2023 || 216,241 || 2021 || 188,835 || 2020 |- |  Qatar ||style=text-align:center|Asia || 219,570 || 2023 || 179,571 || 2021 || 146,401 || 2020 |- |  Algeria ||style=text-align:center|Africa || 206,007 || 2023 || 167,983 || 2021 || 147,689 || 2020 |- |  Hungary ||style=text-align:center|Europe || 188,505 || 2023 || 182,281 || 2021 || 155,808 || 2020 |- |  Kuwait ||style=text-align:center|Asia || 164,713 || 2023 || 105,960 || 2020 || 105,949 || 2020 |- |  Ethiopia ||style=text-align:center|Africa || 156,083 || 2023 || 111,271 || 2021 || 96,611 || 2020 |- |  Ukraine ||style=text-align:center|Europe || 148,712 ||[n 6]2023 || 200,086 ||[n 6]2021 || 155,582 ||[n 6]2020 |- |  Morocco ||style=text-align:center|Africa || 138,781 || 2023 || 132,725 || 2021 || 114,724 ||[n 7]2020 |- |  Slovakia ||style=text-align:center|Europe || 127,533 || 2023 || 114,871 || 2021 || 105,173 || 2020 |- |  Ecuador ||style=text-align:center|Americas || 121,291 || 2023 || 106,166 || 2021 || 98,808 || 2020 |- |  Dominican Republic ||style=text-align:center|Americas || 121,289 || 2023 || 94,244 || 2021 || 78,845 || 2020 |- |  Puerto Rico ||style=text-align:center|Americas || 120,838 || 2023 || 106,526 || 2021 || 103,138 || 2020 |- |  Kenya ||style=text-align:center|Africa || 118,130 || 2023 || 110,347 || 2021 || 101,014 || 2020 |- |  Angola ||style=text-align:center|Africa || 117,877 || 2023 || 72,547 || 2021 || 62,307 || 2020 |- |  Cuba ||style=text-align:center|Americas || colspan=2 data-sort-value="" style="background: #ececec; color: #2C2C2C; vertical-align: middle; font-size: smaller; text-align: center; " class="table-na" | N/A || 107,352 || 2020 || 107,352 || 2020 |- |  Oman ||style=text-align:center|Asia || 104,902 || 2023 || 85,869 || 2021 || 63,368 || 2020 |- |  Guatemala ||style=text-align:center|Americas || 102,309 || 2023 || 85,986 || 2021 || 77,605 || 2020 |- |  Bulgaria ||style=text-align:center|Europe || 100,635 || 2023 || 80,271 || 2021 || 69,888 || 2020 |- |  Venezuela ||style=text-align:center|Americas || 96,628 || 2023 || 482,359 || 2014 || 106,359 || 2020 |- |  Uzbekistan ||style=text-align:center|Asia || 92,332 || 2023 || 69,239 || 2021 || 57,707 || 2020 |- |  Luxembourg ||style=text-align:center|Europe || 86,971 || 2023 || 86,711 || 2021 || 73,353 || 2020 |- |  Tanzania ||style=text-align:center|Africa || 85,421 || 2023 || 67,775 || 2021 || 64,740 ||[n 8]2020 |- |  Turkmenistan ||style=text-align:center|Asia || 82,649 || 2023 || 45,231 || 2019 || 42,845 || 2020 |- |  Croatia ||style=text-align:center|Europe || 78,881 || 2023 || 67,838 || 2021 || 57,204 || 2020 |- |  Lithuania ||style=text-align:center|Europe || 78,346 || 2023 || 65,504 || 2021 || 56,547 || 2020 |- |  Costa Rica ||style=text-align:center|Americas || 77,777 || 2023 || 64,282 || 2021 || 61,521 || 2020 |- |  Uruguay ||style=text-align:center|Americas || 77,313 || 2023 || 59,320 || 2021 || 53,629 || 2020 |- |  Panama ||style=text-align:center|Americas || 77,257 || 2023 || 63,605 || 2021 || 52,938 || 2020 |- |  Ivory Coast ||style=text-align:center|Africa || 77,047 || 2023 || 69,765 || 2021 || 61,143 || 2020 |- |  Sri Lanka ||style=text-align:center|Asia || 75,296 || 2022 || 84,519 || 2021 || 80,677 || 2020 |- |  Serbia ||style=text-align:center|Europe || 73,961 || 2023 || 63,068 || 2021 || 53,335 || 2020 |- |  Belarus ||style=text-align:center|Europe || 73,543 || 2023 || 68,219 || 2021 || 60,259 || 2020 |- |  Azerbaijan ||style=text-align:center|Asia || 70,030 || 2023 || 54,622 || 2021 || 42,607 || 2020 |- |  Democratic Republic of the Congo ||style=text-align:center|Africa || 69,474 || 2023 || 53,959 || 2021 || 45,308 || 2020 |- |  Slovenia ||style=text-align:center|Europe || 68,108 || 2023 || 61,526 || 2021 || 53,590 || 2020 |- |  Ghana ||style=text-align:center|Africa || 66,622 || 2023 || 77,594 || 2021 || 68,532 || 2020 |- |  Myanmar ||style=text-align:center|Asia || 63,988 || 2023 || 65,068 || 2021 || 70,284 || 2020 |- |  Jordan ||style=text-align:center|Asia || 52,061 || 2023 || 45,244 || 2021 || 43,697 || 2020 |- |  Tunisia ||style=text-align:center|Africa || 49,815 || 2023 || 46,840 || 2021 || 39,218 || 2020 |- |  Uganda ||style=text-align:center|Africa || 49,792 || 2023 || 40,435 || 2021 || 38,702 || 2020 |- |  Cameroon ||style=text-align:center|Africa || 48,625 || 2023 || 45,239 || 2021 || 39,881 || 2020 |- |  Latvia ||style=text-align:center|Europe || 47,398 || 2023 || 38,873 || 2021 || 33,707 || 2020 |- |  Sudan ||style=text-align:center|Africa || 46,705 || 2023 || 34,326 || 2021 || 62,057 || 2020 |- |  Libya ||style=text-align:center|Africa || 46,297 || 2023 || 41,880 || 2021 || 29,153 || 2020 |- |  Bolivia ||style=text-align:center|Americas || 46,097 || 2023 || 40,408 || 2021 || 36,573 || 2020 |- |  Bahrain ||style=text-align:center|Asia || 44,870 || 2023 || 38,869 || 2021 || 33,904 || 2020 |- |  Paraguay ||style=text-align:center|Americas || 42,820 || 2023 || 38,987 || 2021 || 35,304 || 2020 |- | Lua error in mw.title.lua at line 209: too many expensive function calls. ||style=text-align:center|Asia || 42,097 || 2023 || 36,289 || 2021 || 33,079 || 2020 |- | Lua error in mw.title.lua at line 209: too many expensive function calls. ||style=text-align:center|Europe || 41,551 || 2023 || 36,263 || 2021 || 30,650 || 2020 |- | Lua error in mw.title.lua at line 209: too many expensive function calls. ||style=text-align:center|Asia || 35,841 ||[n 9]2023 || 29,905 || 2021 || 24,333 || 2020 |- | Lua error in mw.title.lua at line 209: too many expensive function calls. ||style=text-align:center|Americas || 33,752 || 2023 || 28,737 || 2021 || 24,639 || 2020 |- | Lua error in mw.title.lua at line 209: too many expensive function calls. ||style=text-align:center|Americas || 32,860 || 2023 || 28,489 || 2021 || 23,828 || 2020 |- | Lua error in mw.title.lua at line 209: too many expensive function calls. ||style=text-align:center|Oceania || 31,362 || 2023 || 26,594 || 2021 || 23,619 || 2020 |- | Lua error in mw.title.lua at line 209: too many expensive function calls. ||style=text-align:center|Africa || 31,221 || 2023 || 27,625 || 2021 || 24,412 || 2020 |- | Lua error in mw.title.lua at line 209: too many expensive function calls. ||style=text-align:center|Asia || 30,864 ||[n 10]2023 || 27,719 ||[n 10]2021 || 24,612 ||[n 10]2020 |- | Lua error in mw.title.lua at line 209: too many expensive function calls. ||style=text-align:center|Asia || 30,628 || 2023 || 26,961 || 2021 || 25,291 || 2020 |- | Lua error in mw.title.lua at line 209: too many expensive function calls. ||style=text-align:center|Africa || 29,931 || 2023 || 26,218 || 2021 || 21,787 || 2020 |- | Lua error in mw.title.lua at line 209: too many expensive function calls. ||style=text-align:center|Africa || 29,272 || 2023 || 21,203 || 2021 || 18,111 || 2020 |- | Lua error in mw.title.lua at line 209: too many expensive function calls. ||style=text-align:center|Europe || 28,625 || 2023 || 25,459 || 2021 || 21,718 || 2020 |- | Lua error in mw.title.lua at line 209: too many expensive function calls. ||style=text-align:center|Europe || 28,488 || 2023 || 22,572 || 2021 || 19,801 || 2020 |- | Lua error in mw.title.lua at line 209: too many expensive function calls. ||style=text-align:center|Americas || 28,223 || 2023 || 21,392 || 2021 || 21,393 || 2020 |- | Lua error in mw.title.lua at line 209: too many expensive function calls. ||style=text-align:center|Europe || 27,947 ||[n 11]2023 || 18,700 ||[n 11]2021 || 15,892 ||[n 11]2020 |- | Lua error in mw.title.lua at line 209: too many expensive function calls. ||style=text-align:center|Americas || 26,580 || 2023 || 20,944 || 2021 || 15,505 || 2020 |- | Lua error in mw.title.lua at line 209: too many expensive function calls. ||style=text-align:center|Asia || 24,494 || 2020 || 18,077 || 2021 || 63,546 || 2020 |- | Lua error in mw.title.lua at line 209: too many expensive function calls. ||style=text-align:center|Asia || 23,725 || 2023 || 13,861 || 2021 || 12,641 || 2020 |- | Lua error in mw.title.lua at line 209: too many expensive function calls. ||style=text-align:center|Africa || 23,330 || 2023 || 15,851 || 2021 || 15,490 || 2020 |- | Lua error in mw.title.lua at line 209: too many expensive function calls. ||style=text-align:center|Africa || 21,076 || 2023 || 19,738 || 2021 || 17,369 || 2020 |- | Lua error in mw.title.lua at line 209: too many expensive function calls. ||style=text-align:center|Africa || 20,776 || 2023 || 19,144 || 2021 || 17,332 || 2020 |- | Lua error in mw.title.lua at line 209: too many expensive function calls. ||style=text-align:center|Africa || 20,330 || 2023 || 18,269 || 2021 || 15,111 || 2020 |- | Lua error in mw.title.lua at line 209: too many expensive function calls. ||style=text-align:center|Europe || 20,177 || 2023 || 18,260 || 2021 || 14,910 || 2020 |- | Lua error in mw.title.lua at line 209: too many expensive function calls. ||style=text-align:center|Asia || 20,136 || 2020 || 14,787 || 2021 || 19,793 || 2020 |- | Lua error in mw.title.lua at line 209: too many expensive function calls. ||style=text-align:center|Africa || 19,909 || 2023 || 16,096 || 2021 || 14,029 || 2020 |- | Lua error in mw.title.lua at line 209: too many expensive function calls. ||style=text-align:center|Asia || 19,698 ||[n 12]2022 || 18,037 ||[n 12]2021 || 15,561 ||[n 13]2020 |- | Lua error in mw.title.lua at line 209: too many expensive function calls. ||style=text-align:center|Africa || 19,572 || 2023 || 17,614 || 2021 || 15,782 || 2020 |- | Lua error in mw.title.lua at line 209: too many expensive function calls. ||style=text-align:center|Asia || 19,529 || 2023 || 21,062 || 2021 || 27,958 || 2020 |- | Lua error in mw.title.lua at line 209: too many expensive function calls. ||style=text-align:center|Europe || 19,405 || 2023 || 17,190 || 2021 || 14,911 || 2020 |- | Lua error in mw.title.lua at line 209: too many expensive function calls. ||style=text-align:center|Africa || 19,236 || 2023 || 17,786 || 2021 || 15,205 || 2020 |- | Lua error in mw.title.lua at line 209: too many expensive function calls. ||style=text-align:center|Americas || 17,287 || 2023 || 14,013 || 2021 || 12,621 || 2020 |- | Lua error in mw.title.lua at line 209: too many expensive function calls. ||style=text-align:center|Americas || 17,254 || 2023 || 13,638 || 2021 || 13,812 || 2020 |- | Lua error in mw.title.lua at line 209: too many expensive function calls. ||style=text-align:center|Asia || 16,908 || 2023 || 15,098 || 2021 || 13,137 || 2020 |- | Lua error in mw.title.lua at line 209: too many expensive function calls. ||style=text-align:center|Africa || 16,617 || 2023 || 14,951 || 2021 || 13,741 || 2020 |- | Lua error in mw.title.lua at line 209: too many expensive function calls. ||style=text-align:center|Americas || 16,309 || 2023 || 7,409 || 2021 || 5,471 || 2020 |- | Lua error in mw.title.lua at line 209: too many expensive function calls. ||style=text-align:center|Asia || 15,988 || 2023 || 14,007 || 2021 || 12,003 || 2020 |- | Lua error in mw.title.lua at line 209: too many expensive function calls. ||style=text-align:center|Africa || 15,969 || 2023 || 14,637 || 2021 || 13,008 || 2020 |- | Lua error in mw.title.lua at line 209: too many expensive function calls. ||style=text-align:center|Asia || colspan=2 data-sort-value="" style="background: #ececec; color: #2C2C2C; vertical-align: middle; font-size: smaller; text-align: center; " class="table-na" | N/A || colspan=2 data-sort-value="" style="background: #ececec; color: #2C2C2C; vertical-align: middle; font-size: smaller; text-align: center; " class="table-na" | N/A || 15,847 || 2020 |- | Lua error in mw.title.lua at line 209: too many expensive function calls. ||style=text-align:center|Europe || 15,829 ||[n 14]2023 || 13,679 ||[n 14]2021 || 11,914 ||[n 14]2020 |- | Lua error in mw.title.lua at line 209: too many expensive function calls. ||style=text-align:center|Asia || colspan=2 data-sort-value="" style="background: #ececec; color: #2C2C2C; vertical-align: middle; font-size: smaller; text-align: center; " class="table-na" | N/A || 11,080 || 2020 || 15,572 || 2020 |- | Lua error in mw.title.lua at line 209: too many expensive function calls. ||style=text-align:center|Europe || 15,278 || 2023 || 13,879 || 2021 || 12,264 || 2020 |- | Lua error in mw.title.lua at line 209: too many expensive function calls. ||style=text-align:center|Africa || 15,099 || 2023 || 12,269 || 2021 || 10,022 || 2020 |- | Lua error in mw.title.lua at line 209: too many expensive function calls. ||style=text-align:center|Africa || 14,570 || 2023 || 11,157 || 2021 || 10,921 || 2020 |- | Lua error in mw.title.lua at line 209: too many expensive function calls. ||style=text-align:center|Americas || 14,114 || 2023 || 11,209 || 2021 || 9,908 || 2020 |- | Lua error in mw.title.lua at line 209: too many expensive function calls. ||style=text-align:center|Asia || 14,091 || 2023 || 18,827 || 2021 || 19,082 || 2020 |- | Lua error in mw.title.lua at line 209: too many expensive function calls. ||style=text-align:center|Africa || 13,486 || 2023 || 12,236 || 2021 || 10,710 || 2020 |- | Lua error in mw.title.lua at line 209: too many expensive function calls. ||style=text-align:center|Africa || 13,149 || 2023 || 11,070 || 2021 || 10,332 || 2020 |- | Lua error in mw.title.lua at line 209: too many expensive function calls. ||style=text-align:center|Africa || 13,031 || 2023 || 12,524 || 2021 || 10,100 || 2020 |- | Lua error in mw.title.lua at line 209: too many expensive function calls. ||style=text-align:center|Asia || 12,796 || 2023 || 8,746 || 2021 || 7,997 || 2020 |- | Lua error in mw.title.lua at line 209: too many expensive function calls. ||style=text-align:center|Asia || 12,309 || 2023 || 8,543 || 2021 || 7,736 || 2020 |- | Lua error in mw.title.lua at line 209: too many expensive function calls. ||style=text-align:center|Africa || 11,962 || 2023 || 11,780 || 2021 || 11,154 || 2020 |- | Lua error in mw.title.lua at line 209: too many expensive function calls. ||style=text-align:center|Africa || 11,277 || 2023 || 12,627 || 2021 || 11,762 || 2020 |- | Lua error in mw.title.lua at line 209: too many expensive function calls. ||style=text-align:center|Africa || 10,966 || 2023 || 8,228 || 2021 || 7,916 || 2020 |- | Lua error in mw.title.lua at line 209: too many expensive function calls. ||style=text-align:center|Oceania || colspan=2 data-sort-value="" style="background: #ececec; color: #2C2C2C; vertical-align: middle; font-size: smaller; text-align: center; " class="table-na" | N/A || 10,071 || 2021 || 9,709 || 2020 |- | Lua error in mw.title.lua at line 209: too many expensive function calls. ||style=text-align:center|Europe || 9,990 || 2023 || 9,007 || 2021 || 7,734 || 2020 |- | Lua error in mw.title.lua at line 209: too many expensive function calls. ||style=text-align:center|Africa || 9,001 || 2023 || 8,413 || 2021 || 7,146 || 2020 |- | Lua error in mw.title.lua at line 209: too many expensive function calls. ||style=text-align:center|Africa || 8,738 || 2023 || 7,293 || 2021 || 1,873 || 2020 |- | Lua error in mw.title.lua at line 209: too many expensive function calls. ||style=text-align:center|Europe || colspan=2 data-sort-value="" style="background: #ececec; color: #2C2C2C; vertical-align: middle; font-size: smaller; text-align: center; " class="table-na" | N/A || 8,596 || 2021 || 6,816 || 2020 |- | Lua error in mw.title.lua at line 209: too many expensive function calls. ||style=text-align:center|Americas || colspan=2 data-sort-value="" style="background: #ececec; color: #2C2C2C; vertical-align: middle; font-size: smaller; text-align: center; " class="table-na" | N/A || 7,081 || 2021 || 7,719 || 2020 |- | Lua error in mw.title.lua at line 209: too many expensive function calls. ||style=text-align:center|Europe || 7,027 || 2023 || 5,809 || 2021 || 4,789 || 2020 |- | Lua error in mw.title.lua at line 209: too many expensive function calls. ||style=text-align:center|Africa || 7,012 || 2023 || 11,998 || 2015 || 15,903 || 2020 |- | Lua error in mw.title.lua at line 209: too many expensive function calls. ||style=text-align:center|Asia || 7,004 || 2023 || 4,890 || 2021 || 3,743 || 2020 |- | Lua error in mw.title.lua at line 209: too many expensive function calls. ||style=text-align:center|Europe || colspan=2 data-sort-value="" style="background: #ececec; color: #2C2C2C; vertical-align: middle; font-size: smaller; text-align: center; " class="table-na" | N/A || 6,114 || 2020 || 6,872 || 2020 |- | Lua error in mw.title.lua at line 209: too many expensive function calls. ||style=text-align:center|Oceania || colspan=2 data-sort-value="" style="background: #ececec; color: #2C2C2C; vertical-align: middle; font-size: smaller; text-align: center; " class="table-na" | N/A || 6,123 || 2021 || colspan=2 data-sort-value="" style="background: #ececec; color: #2C2C2C; vertical-align: middle; font-size: smaller; text-align: center; " class="table-na" | N/A |- | Lua error in mw.title.lua at line 209: too many expensive function calls. ||style=text-align:center|Americas || 6,117 || 2023 || 4,901 || 2021 || 4,440 || 2020 |- | Lua error in mw.title.lua at line 209: too many expensive function calls. ||style=text-align:center|Oceania || colspan=2 data-sort-value="" style="background: #ececec; color: #2C2C2C; vertical-align: middle; font-size: smaller; text-align: center; " class="table-na" | N/A || 6,055 || 2021 || 5,817 || 2020 |- | Lua error in mw.title.lua at line 209: too many expensive function calls. ||style=text-align:center|Americas || colspan=2 data-sort-value="" style="background: #ececec; color: #2C2C2C; vertical-align: middle; font-size: smaller; text-align: center; " class="table-na" | N/A || 5,898 || 2021 || 6,256 || 2020 |- | Lua error in mw.title.lua at line 209: too many expensive function calls. ||style=text-align:center|Oceania || 5,385 || 2023 || 4,592 || 2021 || 4,494 || 2020 |- | Lua error in mw.title.lua at line 209: too many expensive function calls. ||style=text-align:center|Africa || 4,824 || 2023 || 4,941 || 2021 || 3,835 || 2020 |- | Lua error in mw.title.lua at line 209: too many expensive function calls. ||style=text-align:center|Africa || 4,375 || 2023 || 3,487 || 2021 || 2,481 || 2020 |- | Lua error in mw.title.lua at line 209: too many expensive function calls. ||style=text-align:center|Africa || 3,916 || 2023 || 3,371 || 2021 || 3,423 || 2020 |- | Lua error in mw.title.lua at line 209: too many expensive function calls. ||style=text-align:center|Europe || 3,669 || 2023 || 3,330 || 2021 || 2,864 || 2020 |- | Lua error in mw.title.lua at line 209: too many expensive function calls. ||style=text-align:center|Americas || 3,633 || 2023 || 3,126 || 2021 || 2,497 || 2020 |- | Lua error in mw.title.lua at line 209: too many expensive function calls. ||style=text-align:center|Africa || 3,520 || 2023 || 4,200 || 2021 || 3,787 || 2020 |- | Lua error in mw.title.lua at line 209: too many expensive function calls. ||style=text-align:center|Americas || 3,470 || 2023 || 2,862 || 2021 || 4,120 || 2020 |- | Lua error in mw.title.lua at line 209: too many expensive function calls. ||style=text-align:center|Africa || 3,234 || 2023 || 2,902 || 2021 || 3,399 || 2020 |- | Lua error in mw.title.lua at line 209: too many expensive function calls. ||style=text-align:center|Americas || 3,162 || 2023 || 1,790 || 2021 || 1,586 || 2020 |- | Lua error in mw.title.lua at line 209: too many expensive function calls. ||style=text-align:center|Americas || colspan=2 data-sort-value="" style="background: #ececec; color: #2C2C2C; vertical-align: middle; font-size: smaller; text-align: center; " class="table-na" | N/A || 3,076 || 2020 || 3,130 || 2020 |- | Lua error in mw.title.lua at line 209: too many expensive function calls. ||style=text-align:center|Africa || 2,736 || 2023 || 2,517 || 2021 || 2,323 || 2020 |- | Lua error in mw.title.lua at line 209: too many expensive function calls. ||style=text-align:center|Americas || colspan=2 data-sort-value="" style="background: #ececec; color: #2C2C2C; vertical-align: middle; font-size: smaller; text-align: center; " class="table-na" | N/A || 2,700 || 2021 || 2,596 || 2020 |- | Lua error in mw.title.lua at line 209: too many expensive function calls. ||style=text-align:center|Asia || 2,683 || 2023 || 2,540|| 2021 || 2,483 || 2020 |- | Lua error in mw.title.lua at line 209: too many expensive function calls. ||style=text-align:center|Africa || 2,666 || 2023 || 2,065 || 2011 || 2,084 || 2020 |- | Lua error in mw.title.lua at line 209: too many expensive function calls. ||style=text-align:center|Africa || 2,584 || 2023 || 2,519 || 2021 || 2,273 || 2020 |- | Lua error in mw.title.lua at line 209: too many expensive function calls. ||style=text-align:center|Africa || 2,468 || 2023 || 1,936 || 2021 || 1,704 || 2020 |- | Lua error in mw.title.lua at line 209: too many expensive function calls. ||style=text-align:center|Africa || 2,277 || 2023 || 2,078 || 2021 || 1,830 || 2020 |- | Lua error in mw.title.lua at line 209: too many expensive function calls. ||style=text-align:center|Americas || 2,262 || 2023 || 1,765 || 2021 || 1,617 || 2020 |- | Lua error in mw.title.lua at line 209: too many expensive function calls. ||style=text-align:center|Asia || 1,988 || 2023 || 1,959 || 2021 || 1,902 || 2020 |- | Lua error in mw.title.lua at line 209: too many expensive function calls. ||style=text-align:center|Africa || 1,950 || 2023 || 1,320 || 2021 || 1,059 || 2020 |- | Lua error in mw.title.lua at line 209: too many expensive function calls. ||style=text-align:center|Africa || 1,887 || 2023 || 1,639 || 2021 || 1,315 || 2020 |- | Lua error in mw.title.lua at line 209: too many expensive function calls. ||style=text-align:center|Americas || 1,864 || 2023 || 1,471 || 2021 || 1,370 || 2020 |- | Lua error in mw.title.lua at line 209: too many expensive function calls. ||style=text-align:center|Europe || 1,807 || 2023 || 1,545 || 2020 || 1,555 || 2020 |- | Lua error in mw.title.lua at line 209: too many expensive function calls. ||style=text-align:center|Africa || colspan=2 data-sort-value="" style="background: #ececec; color: #2C2C2C; vertical-align: middle; font-size: smaller; text-align: center; " class="table-na" | N/A || colspan=2 data-sort-value="" style="background: #ececec; color: #2C2C2C; vertical-align: middle; font-size: smaller; text-align: center; " class="table-na" | N/A || 1,724 || 2020 |- | Lua error in mw.title.lua at line 209: too many expensive function calls. ||style=text-align:center|Oceania || 1,701 || 2023 || 1,645 || 2021 || 1,546 || 2020 |- | Lua error in mw.title.lua at line 209: too many expensive function calls. ||style=text-align:center|Americas || colspan=2 data-sort-value="" style="background: #ececec; color: #2C2C2C; vertical-align: middle; font-size: smaller; text-align: center; " class="table-na" | N/A || colspan=2 data-sort-value="" style="background: #ececec; color: #2C2C2C; vertical-align: middle; font-size: smaller; text-align: center; " class="table-na" | N/A || 1,492 || 2020 |- | Lua error in mw.title.lua at line 209: too many expensive function calls. ||style=text-align:center|Africa || 1,348 || 2023 || 1,328 || 2021 || 1,235 || 2020 |- | Lua error in mw.title.lua at line 209: too many expensive function calls. ||style=text-align:center|Americas || 1,274 || 2023 || 1,122 || 2021 || 1,043 || 2020 |- | Lua error in mw.title.lua at line 209: too many expensive function calls. ||style=text-align:center|Oceania || colspan=2 data-sort-value="" style="background: #ececec; color: #2C2C2C; vertical-align: middle; font-size: smaller; text-align: center; " class="table-na" | N/A || 1,182 || 2019 || colspan=2 data-sort-value="" style="background: #ececec; color: #2C2C2C; vertical-align: middle; font-size: smaller; text-align: center; " class="table-na" | N/A |- | Lua error in mw.title.lua at line 209: too many expensive function calls. ||style=text-align:center|Oceania || 1,064 || 2023 || 984 || 2021 || 855 || 2020 |- | Lua error in mw.title.lua at line 209: too many expensive function calls. ||style=text-align:center|Americas || 1,052 || 2023 || 976 || 2021 || 927 || 2020 |- | Lua error in mw.title.lua at line 209: too many expensive function calls. ||style=text-align:center|Americas || 1,039 || 2023 || 890 || 2021 || 810 || 2020 |- | Lua error in mw.title.lua at line 209: too many expensive function calls. ||style=text-align:center|Americas || colspan=2 data-sort-value="" style="background: #ececec; color: #2C2C2C; vertical-align: middle; font-size: smaller; text-align: center; " class="table-na" | N/A || 943 || 2021 || 925 || 2020 |- | Lua error in mw.title.lua at line 209: too many expensive function calls. ||style=text-align:center|Oceania || 898 || 2023 || 788 || 2021 || 772 || 2020 |- | Lua error in mw.title.lua at line 209: too many expensive function calls. ||style=text-align:center|Americas || colspan=2 data-sort-value="" style="background: #ececec; color: #2C2C2C; vertical-align: middle; font-size: smaller; text-align: center; " class="table-na" | N/A || 1,186 || 2018 || 857 || 2020 |- | Lua error in mw.title.lua at line 209: too many expensive function calls. ||style=text-align:center|Oceania || colspan=2 data-sort-value="" style="background: #ececec; color: #2C2C2C; vertical-align: middle; font-size: smaller; text-align: center; " class="table-na" | N/A || 709 || 2021 || colspan=2 data-sort-value="" style="background: #ececec; color: #2C2C2C; vertical-align: middle; font-size: smaller; text-align: center; " class="table-na" | N/A |- | Lua error in mw.title.lua at line 209: too many expensive function calls. ||style=text-align:center|Americas || 681 || 2023 || 546 || 2021 || 507 || 2020 |- | Lua error in mw.title.lua at line 209: too many expensive function calls. ||style=text-align:center|Africa || 625 || 2023 || 547 || 2021 || 476 || 2020 |- | Lua error in mw.title.lua at line 209: too many expensive function calls. ||style=text-align:center|Oceania || 541 || 2023 || 469 || 2021 || 491 || 2020 |- | Lua error in mw.title.lua at line 209: too many expensive function calls. ||style=text-align:center|Oceania || 456 || 2023 || 404 || 2021 || 403 || 2020 |- | Lua error in mw.title.lua at line 209: too many expensive function calls. ||style=text-align:center|Oceania || 291 || 2023 || 249 || 2021 || 244 || 2020 |- | Lua error in mw.title.lua at line 209: too many expensive function calls. ||style=text-align:center|Oceania || colspan=2 data-sort-value="" style="background: #ececec; color: #2C2C2C; vertical-align: middle; font-size: smaller; text-align: center; " class="table-na" | N/A || colspan=2 data-sort-value="" style="background: #ececec; color: #2C2C2C; vertical-align: middle; font-size: smaller; text-align: center; " class="table-na" | N/A || 283 || 2020 |- | Lua error in mw.title.lua at line 209: too many expensive function calls. ||style=text-align:center|Oceania || 262 || 2023 || 218 || 2021 || 264 || 2020 |- | Lua error in mw.title.lua at line 209: too many expensive function calls. ||style=text-align:center|Americas || colspan=2 data-sort-value="" style="background: #ececec; color: #2C2C2C; vertical-align: middle; font-size: smaller; text-align: center; " class="table-na" | N/A || colspan=2 data-sort-value="" style="background: #ececec; color: #2C2C2C; vertical-align: middle; font-size: smaller; text-align: center; " class="table-na" | N/A || 258 || 2020 |- | Lua error in mw.title.lua at line 209: too many expensive function calls. ||style=text-align:center|Oceania || 248 || 2023 || 207 || 2021 || 181 || 2020 |- | Lua error in mw.title.lua at line 209: too many expensive function calls. ||style=text-align:center|Oceania || 151 || 2023 || 133 || 2021 || 135 || 2020 |- | Lua error in mw.title.lua at line 209: too many expensive function calls. ||style=text-align:center|Americas || colspan=2 data-sort-value="" style="background: #ececec; color: #2C2C2C; vertical-align: middle; font-size: smaller; text-align: center; " class="table-na" | N/A || colspan=2 data-sort-value="" style="background: #ececec; color: #2C2C2C; vertical-align: middle; font-size: smaller; text-align: center; " class="table-na" | N/A || 68 || 2020 |- | Lua error in mw.title.lua at line 209: too many expensive function calls. ||style=text-align:center|Oceania || 65 || 2023 || 63 || 2021 || 55 || 2020 |}

See also

Countries:

  • List of countries by GDP (nominal) per capita
  • List of countries by GDP (PPP)
  • List of countries by GDP (PPP) per capita
  • List of countries by past and projected GDP (nominal)
  • List of countries by past and projected GDP (PPP)

Other entities:

Notes

  1. ↑ 1.0 1.1 1.2 Figures for China exclude Taiwan, and the special administrative regions of Hong Kong and Macau.
  2. ↑ Based on IMF data. If no data is available for a country from the IMF, then data from the United Nations is used.
  3. ↑ Figures exclude the special administrative regions of Hong Kong and Macau.
  4. ↑ The name used in the IMF report is "Taiwan Province of China".
  5. ↑ The name used in the IMF report is "Hong Kong SAR".
  6. ↑ 6.0 6.1 6.2 Figures exclude the Republic of Crimea and Sevastopol.
  7. ↑ Includes Western Sahara.
  8. ↑ The UN figure excludes the autonomous region of Zanzibar.
  9. ↑ The name used in the IMF report is "Macao SAR".
  10. ↑ 10.0 10.1 10.2 Data are for the area controlled by the Government of the Republic of Cyprus.
  11. ↑ 11.0 11.1 11.2 Excludes Abkhazia and South Ossetia.
  12. ↑ 12.0 12.1 The name used in the IMF and World Bank reports is "West Bank and Gaza".
  13. ↑ The name used by UN is "State of Palestine".
  14. ↑ 14.0 14.1 14.2 Excludes data for Transnistria.

References

  1. ↑ 1.0 1.1 1.2 "World Economic Outlook Database, April 2023". International Monetary Fund. 10 April 2023. https://www.imf.org/en/Publications/WEO/weo-database/2023/April/weo-report?c=512,914,612,171,614,311,213,911,314,193,122,912,313,419,513,316,913,124,339,638,514,218,963,616,223,516,918,748,618,624,522,622,156,626,628,228,924,233,632,636,634,238,662,960,423,935,128,611,321,243,248,469,253,642,643,939,734,644,819,172,132,646,648,915,134,652,174,328,258,656,654,336,263,268,532,944,176,534,536,429,433,178,436,136,343,158,439,916,664,826,542,967,443,917,544,941,446,666,668,672,946,137,546,674,676,548,556,678,181,867,682,684,273,868,921,948,943,686,688,518,728,836,558,138,196,278,692,694,962,142,449,564,565,283,853,288,293,566,964,182,359,453,968,922,714,862,135,716,456,722,942,718,724,576,936,961,813,726,199,733,184,524,361,362,364,732,366,144,146,463,528,923,738,578,537,742,866,369,744,186,925,869,746,926,466,112,111,298,927,846,299,582,487,474,754,698,&s=NGDPD,&sy=2021&ey=2028&ssm=0&scsm=1&scc=0&ssd=1&ssc=0&sic=0&sort=country&ds=.&br=1. 
  2. ↑ "What is GDP and why is it so important?". Investopedia. IAC/InterActiveCorp. 26 February 2009. http://www.investopedia.com/ask/answers/199.asp. 
  3. ↑ Moffatt, Mike. "A Beginner's Guide to Purchasing Power Parity Theory". About.com. IAC/InterActiveCorp. http://economics.about.com/cs/money/a/purchasingpower.htm. 
  4. ↑ "Economic Growth and Real Exchange Rate: An Overview of the Balassa-Samuelson Hypothesis in Asia". Changes in Exchange Rates in Rapidly Development Countries: Theory, Practice, and Policy Issues. National Bureau of Economic Research. January 1999. https://www.nber.org/chapters/c8616.pdf. 
  5. ↑ Callen, Tim (28 March 2012). "Gross Domestic Product: An Economy's All". Finance & Development. International Monetary Fund. http://www.imf.org/external/pubs/ft/fandd/basics/gdp.htm. 
  6. ↑ Frum, David (2014-12-24). "The Real Story of How America Became an Economic Superpower" (in en). https://www.theatlantic.com/international/archive/2014/12/the-real-story-of-how-america-became-an-economic-superpower/384034/. 
  7. ↑ Matthews, Chris (5 October 2014). "5 Most Powerful Economic Empires of All Time". Fortune. Time, Inc.. http://fortune.com/2014/10/05/most-powerful-economic-empires-of-all-time/. 
  8. ↑ 8.0 8.1 Kroeber, Arthur R. (2016). China's Economy: What Everyone Needs to Know. New York, United States: Oxford University Press. ISBN 9780190239053. https://books.google.com/books?id=cPa9CwAAQBAJ. Retrieved 28 May 2016. 
  9. ↑ Kau, Michael Ying-mao (30 September 1993). China in the Era of Deng Xiaoping: A Decade of Reform. Taylor & Francis. ISBN 9781563242786. https://books.google.com/books?id=mDS0GW7FH_0C. Retrieved 23 May 2016. 
  10. ↑ "Why Is China Growing So Fast?". Economic Issues. International Monetary Fund. April 1997. https://www.imf.org/EXTERNAL/PUBS/FT/ISSUES8/issue8.pdf. 
  11. ↑ "China GDP growth slows as population crisis, Covid-19 cloud economic outlook" (in en). 2022-01-18. https://www.scmp.com/economy/china-economy/article/3163720/china-gdp-growth-2021-beats-expectations-narrowing-gap-us. 
  12. ↑ Rodrik, Dani (March 2004). "From "Hindu Growth" to Productivity Surge: The Mystery of the Indian Growth Transition". National Bureau of Economic Research. http://www.nber.org/papers/w10376.pdf. 
  13. ↑ "WEO Database, April 2023. Report for Selected Countries and Subjects: World, European Union". International Monetary Fund. 10 April 2023. https://www.imf.org/en/Publications/WEO/weo-database/2023/April/weo-report?a=1&c=001,998,&s=NGDPD,PPPGDP,PPPPC,PPPSH,&sy=2021&ey=2028&ssm=0&scsm=1&scc=0&ssd=1&ssc=0&sic=0&sort=country&ds=.&br=1. 
  14. ↑ "GDP (current US$)". https://data.worldbank.org/indicator/NY.GDP.MKTP.CD?most_recent_value_desc=true&year_high_desc=true. 
  15. ↑ "United Nations Statistics Division - National Accounts". https://unstats.un.org/unsd/snaama/Basic. 
  16. ↑ "GDP: Preliminary Estimate for 2021 Q3, and outlook for 2021-22". Directorate General of Budget, Accounting and Statistics. https://eng.stat.gov.tw/public/data/dgbas03/bs4/ninews_e/11011/enewstotal11011.pdf. 




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