List of cities by GDP
Appearance
This is a list of cities and/or their metropolitan areas in the world by Gross domestic product. The methodology may differ between the studies and are widely based on projections and sometimes approximate estimations, notably for cities that are not within the Organisation for Economic Co-operation and Development. Refer to sources for more information. Click on the headers to reorganize columns.
City/Metropolitan area | Country/Region | UNSD sub‑region[1] |
Official est. Nominal GDP ($BN) |
Brookings Institution[2] 2014 est. PPP-adjusted GDP ($BN) |
PwC[3] 2008 est. PPP-adjusted GDP ($BN) |
McKinsey[4] 2010 est. Nominal GDP ($BN) |
Other est. Nominal GDP ($BN) |
---|---|---|---|---|---|---|---|
Aachen-Liège-Maastricht | Germany Belgium Netherlands | Western Europe | 99.7 | ||||
Aberdeen | United Kingdom | Northern Europe | 11.3 (2008)[5] | ||||
Abidjan | Ivory Coast | Africa | 13 | ||||
Abu Dhabi | United Arab Emirates | Western Asia | 119[6] | 178.3 | 67.1 | ||
Addis Ababa | Ethiopia | Africa | 12 | ||||
Adelaide | Australia | Oceania | 59.1 (2015–16)[7] | 47.4 | |||
Ahmedabad | India | South Asia | 59 | 22 | |||
Akron | United States | North America | 37.300 (2016)[8] | 32.8 | |||
Albany | United States | North America | 52.339 (2016)[8] | 58.4 | |||
Albuquerque | United States | North America | 43.250 (2016)[8] | 39.9 | |||
Alexandria | Egypt | Africa | 32.4 | 46 | |||
Algiers | Algeria | Africa | 45 | ||||
Allentown | United States | North America | 42.700 (2016)[8] | 37.3 | |||
Almaty | Kazakhstan | East Asia | 53.1 | ||||
Amsterdam | Netherlands | Western Europe | 154.0 (2015)[9] | 320.6[Note 1] | 47 | ||
Anápolis | Brazil | South America | 6.740 (2011)[10] | ||||
Ankara | Turkey | Western Asia | 104.9 | 58 | 64.9 | ||
Anshan | China | East Asia | 67.4 | ||||
Arnhem-Nijmegen | Netherlands | Western Europe | 27.9 (2016)[9] | 44.4 | |||
Athens | Greece | Southern Europe | 93.7 (2015)[9] | 129.6 | 96 | ||
Atlanta | United States | North America | 385.542 (2017)[8] | 294.4 | 304 | 249.7 | 242.4[11] |
Auckland | New Zealand | Oceania | 49.5 | 55 | |||
Austin | United States | North America | 148.750 (2017)[8] | 107.4 | |||
Bakersfield | United States | North America | 35.162 (2016)[8] | 47.9 | |||
Baghdad | Iraq | Western Asia | 24 | ||||
Baltimore | United States | North America | 192.178 (2017)[8] | 173.7 | 137 | 118.1[11] | |
Bandung | Indonesia | South-East Asia | 20 (2017)[12] | 21 | |||
Bengaluru | India | South Asia | 45.1 | 69 | 28.6 | ||
Bangkok | Thailand | South-East Asia | 306.8 | 119 | 105.0 | ||
Baotou | China | East Asia | 40.8 (2017)[13] | 94.1 | |||
Barcelona | Spain | Southern Europe | 173.315 (2017)[9] | 171.0 | 177 | ||
Basel-Mulhouse | Switzerland France | Western Europe | 56.2 | ||||
Baton Rouge | United States | North America | 51.149 (2014)[8] | 53.5 | |||
Beijing | China | East Asia | 441.4 (2017)[14] | 506.1 | 166 | 206.2 | |
Belfast | United Kingdom | Northern Europe | 25.5 (2015)[9] | ||||
Belgrade | Serbia | Southern Europe | 17.4 (2014)[15] | ||||
Belo Horizonte | Brazil | South America | 54.996 (2011)[10] | 84.7 | 61 | 78.5 | |
Berlin | Germany | Western Europe | 215.2 (2015)[16] | 157.7 | 95 | ||
Bielefeld-Detmold | Germany | Western Europe | 50.5 | ||||
Bilbao | Spain | Southern Europe | 36.9 (2015)[9] | 38.5 | |||
Birmingham | United Kingdom | Northern Europe | 81.8 (2016)[9] | 121.1 | 90 | ||
Birmingham, Alabama | United States | North America | 62.758 (2016)[8] | 54.164 | |||
Bogotá | Colombia | South America | 159.9 | 100 | 221.1 (2015) | ||
Bologna | Italy | Southern Europe | 43.4 (2015)[9] | 36.3 | |||
Bordeaux | France | Western Europe | 55.9 (2015)[9] | 40.2 | |||
Boston | United States | North America | 438.684 (2017)[8] | 360.1 | 363 | 261.1[11] | |
Brasília | Brazil | South America | 164.482 (2011)[10] | 141.9 | 110 | 101.6 | |
Braunschweig-Wolfsburg | Germany | Western Europe | 45.5 | ||||
Bremen | Germany | Western Europe | 30.4 (2015)[16] | 47.9 | |||
Bridgeport | United States | North America | 98.256 (2017)[8] | 70.0 | |||
Brisbane | Australia | Oceania | 120.6 (2015–16)[17] | 96.6 | |||
Bristol | United Kingdom | Northern Europe | 51.5 (2016)[9] | 47.7 | |||
Brussels | Belgium | Western Europe | 144.359 (2016)[9] | 254.3 | 83 | ||
Bucharest | Romania | Southern Europe | 49.407 (2016)[9] | 72.4 | |||
Budapest | Hungary | Central Europe | 58.5 (2016)[9] | 98.0 | 53 | ||
Buenos Aires | Argentina | South America | 315.9 | 362 | 191.7 | ||
Buffalo | United States | North America | 58.062 (2016)[8] | 72.7 | |||
Bursa | Turkey | Western Asia | 80.1 | ||||
Busan | South Korea | East Asia | 296.5 | 121 | |||
Cairo | Egypt | Africa | 102.2 | 145 | |||
Calgary | Canada | North America | 97.9 | ||||
Cambridge | United Kingdom | Northern Europe | 18.6[18] | ||||
Campinas | Brazil | South America | 40.525 (2011)[10] | 59.3 | |||
Campo Grande | Brazil | South America | 9.211 (2011)[10] | ||||
Campos dos Goytacazes | Brazil | South America | 16.174 (2011)[10] | ||||
Cape Town | South Africa | Africa | 58.9 | 103 | |||
Caracas | Venezuela | South America | 51.8 | 41 | 92[19] | ||
Cardiff-Newport | United Kingdom | Northern Europe | 33.7 (2016)[9] | 36.0 | |||
Casablanca | Morocco | Africa | 37.9 | 33 | |||
Changchun | China | East Asia | 96.7 (2017)[13] | 124.5 | 26 | ||
Changsha | China | East Asia | 156.0 (2017)[13] | 186.4 | 40.3 | ||
Changzhou | China | East Asia | 98.1 (2017)[13] | 110.9 | 34.3 | ||
Charlotte | United States | North America | 174.029 (2017)[8] | 126.2 | |||
Chengdu | China | East Asia | 205.7 (2017)[20] | 233.5 | 33 | 57.8 | |
Chennai | India | South Asia | 58.6 | 66 | |||
Chicago | United States | North America | 679.699 (2017)[8] | 563.2 | 574 | 496.4 | 461.4[11] |
Chittagong | Bangladesh | South Asia | 24 | ||||
Chongqing | China | East Asia | 288.8 (2017)[13] | 315.6 | 57 | 88.6 | |
Cincinnati | United States | North America | 138.034 (2017)[8] | 110.9 | |||
Cleveland | United States | North America | 138.980 (2017)[8] | 115.1 | 112 | 99.3[11] | |
Columbia | United States | North America | 40.086 (2016)[8] | 37.2 | |||
Columbus | United States | North America | 136.296 (2017)[8] | 108.9 | |||
Copenhagen | Denmark | Northern Europe | 134.3 (2016)[9] | 127.0[Note 2] | 49 | ||
Cork | Ireland | Northern Europe |
24.0 (2015) /> |
||||
Cracow | Poland | Central Europe | 22.0 (2015)[9] | 33.1 | |||
Coventry | United Kingdom | Northern Europe | 7.4 (2008)[5] | ||||
Curitiba | Brazil | South America | 58.082 (2011)[10] | 57.7 | 44 | ||
Daegu | South Korea | East Asia | 54.5 | 43 | |||
Daejeon | South Korea | East Asia | 39.6 | ||||
Dalian | China | East Asia | 109.1 (2017)[13] | 198.8 | 53.8 | ||
Dallas–Fort Worth | United States | North America | 613.4(2019)[21] | 412.7 | 338 | 324.9 | 315.5[11] |
Daqing | China | East Asia | 39.7 (2017)[13] | 98.5 | |||
Dayton | United States | North America | 40.572 (2016)[8] | 37.5 | |||
Dar es Salaam | Tanzania | Africa | 8 | ||||
Delhi | India | South Asia | 293.6 | 167 | 47.6 | ||
Denver | United States | North America | 208.868 (2017)[8] | 169.7 | 165 | 131.6[11] | |
Des Moines | United States | North America | 50.246 (2016)[8] | 39.5 | |||
Detroit | United States | North America | 260.612 (2017)[8] | 207.5 | 253 | 198.6[11] | |
Dhaka | Bangladesh | South Asia | 78 | 29 | |||
Doha | Qatar | Western Asia | 98.8 | ||||
Dongguan | China | East Asia | 112.3 (2017)[13] | 141.1 | 62.7 | ||
Dongying | China | East Asia | 56.3 (2017)[13] | 83.7 | |||
Dubai | United Arab Emirates | Western Asia | 82.9 | ||||
Dublin | Ireland | Northern Europe | 127.8 (2015)[9] | 90.1 | 61 | ||
Durban | South Africa | Africa | 48.9 | ||||
Durham | United States | North America | 43.908 (2016)[8] | 37.0 | |||
East Rand | South Africa | Africa | 55.3 | 54 | |||
Edinburgh | United Kingdom | Northern Europe | 41.8 (2016)[9] | 32.5 | |||
Edmonton | Canada | North America | 83.0 | ||||
Eindhoven-Den Bosch | Netherlands | Western Europe | 91.5 | ||||
El Paso | United States | North America | 28.644 (2016)[8] | 32.7 | |||
Faisalabad | Pakistan | South Asia | 20.55[22] | 68.05 | |||
Florence | Italy | Southern Europe | 40.1 (2015)[9] | 52.5 | |||
Fortaleza | Brazil | South America | 42.010 (2011)[10] | 35.2 | 25 | ||
Foshan | China | East Asia | 141.4 (2017)[13] | 184.5 | 83.5 | ||
Frankfurt | Germany | Western Europe | 230.0 | ||||
Fresno | United States | North America | 40.465 (2016)[8] | 45.5 | |||
Fukuoka–Kitakyushu | Japan | East Asia | 185 (2013)[23] | 193.3 | 88[Note 3] | 157.3[24] | |
Fuzhou | China | East Asia | 105.2 (2017)[13] | 117.4 | 23.4 | ||
Geneva | Switzerland | Western Europe | 44.0 | ||||
George Town | Malaysia | South-East Asia | 38.0 | ||||
Glasgow | United Kingdom | Northern Europe | 66.4 (2016)[9] | 56.7 | |||
Gothenburg | Sweden | Northern Europe | 84.4 (2016)[9] | 40.0 | |||
Grand Rapids | United States | North America | 58.465 (2016)[8] | 51.6 | |||
Greensboro | United States | North America | 39.944 (2016)[8] | 40.9 | |||
Greenville | United States | North America | 40.693 (2016)[8] | 35.6 | |||
Goiânia | Brazil | South America | 22.763 (2011)[10] | ||||
Guadalajara | Mexico | North America | 80.7 | 81 | |||
Guangzhou | China | East Asia | 341 (2017)[13] | 380.3 | 143 | 146.1 | |
Gujranwala | Pakistan | South Asia | 21 (2017)[13] | 20.3 | 15.36 | 14.1 | |
Gwangju | South Korea | East Asia | 36.7 | ||||
Haifa | Israel | Western Asia | 40.4 | ||||
Hamamatsu | Japan | East Asia | 52.3 | ||||
Hamburg | Germany | Western Europe | 120.1 (2015)[16] | 161.4 | 74 | ||
Hangzhou | China | East Asia | 150.8 (2015)[25] | 219.5 | 70.5 | ||
Hannover | Germany | Western Europe | 51.5 (2015)[16] | 59.6 | |||
Hanoi | Vietnam | South-East Asia | 42 | ||||
Harbin | China | East Asia | 94.1 (2017)[13] | 127.9 | 38.8 | ||
Harrisburg | United States | North America | 35.465 (2016)[8] | 35.1 | |||
Hartford | United States | North America | 90.318 (2017)[8] | 101.2 | |||
Hefei | China | East Asia | 106.8 (2017)[13] | 120.9 | 31.2 | ||
Helsinki | Finland | Northern Europe | 90.8 (2015)[9] | 77.1 | 58 | ||
Hiroshima | Japan | East Asia | 74.9 | ||||
Ho Chi Minh City | Vietnam | South-East Asia | 71.1 | 58 | |||
Hong Kong | Hong Kong | East Asia | 364.8 (2018)[26] | 416.0 | 320 | 224.5 | 258.0[27] |
Honolulu | United States | North America | 64.756 (2016)[8] | 58.6 | |||
Houston | United States | North America | 490.074 (2017)[8] | 483.2 | 297 | 341.1 | 316.3[11] |
Hsinchu | Taiwan | East Asia | 38.4 | ||||
Huhehaote | China | East Asia | 70.1 | ||||
Huntsville | United States | North America | 24.846 (2016)[8] | ||||
Hyderabad | India | South Asia | 40.2 | 59 | |||
Indianapolis | United States | North America | 143.873 (2017)[8] | 113.606 | |||
Islamabad | Pakistan | South Asia | 18.7 | 18 | 28.2 | ||
Istanbul | Turkey | Western Asia | 348.7 | 182 | 188.2 | ||
Izmir | Turkey | Western Asia | 80.1 | 42 | |||
Jacksonville | United States | North America | 71.471 (2016)[8] | 63.8 | |||
Jaipur | India | South Asia | 24 | 20 | |||
Jakarta | Indonesia | South-East Asia | 186 (2018)[28] | 321.3 | 92 | 70.7 | |
Jeddah | Saudi Arabia | Western Asia | 160.6 | 72 | 75.9 | ||
Jerusalem | Israel | Western Asia | 48.0 (2015)[29] | ||||
Jinan | China | East Asia | 106.7 (2017)[13] | 136.8 | 43.2 | ||
Johannesburg | South Africa | Africa | 82.9 | 110 | |||
Jundiaí | Brazil | South America | 20.081 (2011)[10] | ||||
Kabul | Afghanistan | South Asia | 14 | ||||
Kagoshima | Japan | East Asia | 34.3 | ||||
Kano | Nigeria | Africa | 9 | ||||
Kanpur | India | South Asia | 26 | 4 | |||
Kansas City | United States | North America | 131.092 (2017)[8] | 105.9 | 91.2[11] | ||
Kaohsiung | Taiwan | East Asia | 113.647 | 78 | 28 | ||
Karachi | Pakistan | South Asia | 144 (2017) | 78 | 238.36 | ||
Karlsruhe | Germany | Western Europe | 37.6 (2015)[9] | 137.1 | |||
Katowice | Poland | Central Europe | 37.9 (2015)[9] | 122.3 | |||
Kaunas | Lithuania | Northern Europe | 10.0 (2016)[30] | ||||
Khartoum | Sudan | Africa | 35 | ||||
Kiev | Ukraine | Eastern Europe | 20 (2016)[31] | ||||
Kingston-upon-Hull | United Kingdom | Northern Europe | 17.7 (2016)[9] | ||||
Kinshasa | DR Congo | Africa | 17 | ||||
Klaipėda | Lithuania | Northern Europe | 6.0 (2016)[32] | ||||
Knoxville | United States | North America | 39.825 (2016)[8] | 38.3 | |||
Kolkata | India | South Asia | 60.4 | 104 | |||
Kuala Lumpur | Malaysia | South-East Asia | 171.8 | ||||
Kumamoto | Japan | East Asia | 41.8 | ||||
Kunming | China | East Asia | 72.0 (2017)[13] | 88.6 | |||
Kuwait City | Kuwait | Western Asia | 166.5 | 117.5 | |||
Lagos | Nigeria | Africa | 74.67 (2010)[33] | 35 | |||
Lahore | Pakistan | South Asia | 58.14 (2015)[34][35] | 40 | 129.5 | ||
Las Vegas | United States | North America | 112.288 (2017)[8] | 93.9 | |||
Leeds | United Kingdom | Northern Europe | 44.8 (2016)[9] | 74.6[Note 4] | 60 | ||
Leicester | United Kingdom | Northern Europe | 46.8 (2016)[9] | 28.7[36] | |||
Leipzig-Halle | Germany | Western Europe | 33.4 (2015)[9] | 39.6 | |||
Lille | France | Western Europe | 83.3 (2015)[9] | 98.5 | 33 | ||
Lima | Peru | South America | 176.5 | 109 | 77.3 | ||
Linz | Austria | Western Europe | 37.9 (2015)[9] | 44.6 | |||
Lisbon | Portugal | Southern Europe | 72.0 (2015)[9] | 96.3 | 98 | ||
Little Rock | United States | North America | 37.796 (2016)[8] | 40.7 | |||
Liverpool | United Kingdom | Northern Europe | 47.8 (2016)[9] | 65.8 | |||
London | United Kingdom | Northern Europe | 595.7 (2016)[37] | 835.7 | 565 | 751.8 | |
Los Angeles | United States | North America | 1,043.735 (2017)[38] | 860.5 | 792 | 731.8 | 632.4[11] |
Louisville | United States | North America | 74.968 (2016)[8] | 62.397 | |||
Luanda | Angola | Africa | 33 | 38.6 | |||
Lucknow | India | South Asia | 22 | ||||
Luxembourg-Trier | Luxembourg Germany | Western Europe | 62 (2014)[39] | 62 | |||
Luton | United Kingdom | Northern Europe | 7.2[40] | ||||
Lyon | France | Western Europe | 88.2 (2016)[9] | 97.0 | 69 | 197[41] | |
Macau | Macau | East Asia | 53.7 (2018)[42] | 53.9 | |||
Madison | United States | North America | 47.425 (2016)[8] | 41.8 | |||
Madrid | Spain | Southern Europe | 225.9 (2015)[9] | 262.3 | 230 | ||
Manaus | Brazil | South America | 51.025 (2011)[10] | ||||
Manchester | United Kingdom | Northern Europe | 113.7 (2016)[9] | 92.3 | 85 | ||
Manila | Philippines | South-East Asia | 276.4 | 189 | |||
Marseille | France | Western Europe | 104.1 (2015)[9] | 60.3 | |||
Medellín | Colombia | South America | 43.5 | 50 | |||
Medan | Indonesia | South-East Asia | 10 (2017)[43] | 8.09[44] | |||
Melbourne | Australia | Oceania | 229.2 (2015–16)[45] | 178.4 | 172 | 221.4 | |
Memphis | United States | North America | 71.450 (2016)[8] | 65.0 | |||
Mexico City | Mexico | North America | 403.6 | 390 | 255.1 | ||
Miami | United States | North America | 344.882 (2016)[8] | 262.7 | 292 | 235.9 | 231.8[11] |
Milan | Italy | Southern Europe | 671.22 (2018)[9] | 312.1 | 136 | ||
Milwaukee | United States | North America | 105.427 (2017)[8] | 86.5 | |||
Minneapolis/St. Paul | United States | North America | 260.106 (2017)[8] | 211.4 | 194 | 171.6[11] | |
Minsk | Belarus | Eastern Europe | 13.0 (2012)[46] | ||||
Monterrey | Mexico | North America | 122.9 | 102 | |||
Montevideo | Uruguay | South America | 44.0[47][Note 5] | ||||
Montreal | Canada | North America | 155.9 | 148 | |||
Moscow | Russia | Eastern Europe | 225.0 (2015)[48] | 553.3 | 321 | 325.8 | |
Multan | Pakistan | South Asia | 17.425 (2016) | 24.15 | |||
Mumbai | India | South Asia | 150.9 | 209 | 55.9 | ||
Munich | Germany | Western Europe | 190.0 (2016)[9] | 219.9 | 64 | ||
Nagoya | Japan | East Asia | 368 (2013)[49] | 363.8 | 256.3[50] | ||
Nagpur | India | South Asia | 18 | ||||
Nairobi | Kenya | Africa | 12 | ||||
Nanchang | China | East Asia | 74.1 (2017)[13] | 96.0 | |||
Nanjing | China | East Asia | 173.5 (2017) | 202.7 | 68.5 | ||
Nanning | China | East Asia | 61.0 (2017)[13] | 70.3 | |||
Nantes | France | Western Europe | 51.0 (2016)[9] | 32.0 | |||
Nantong | China | East Asia | 114.6 (2017)[13] | 128.3 | |||
Naples | Italy | Southern Europe | 62.8 (2015)[9] | 85.5 | 51 | ||
Nashville | United States | North America | 133.251 (2017)[8] | 95.0 | |||
New Haven | United States | North America | 44.120 (2016)[8] | 53.3 | |||
New Orleans | United States | North America | 77.173 (2016)[8] | 74.2 | |||
New York | United States | North America | 1,717.712 (2017)[38] | 1,403 | 1,406 | 1,180.3 | 1,056.4[11] |
Newcastle | United Kingdom | Northern Europe | 36.0 (2016)[9] | 44.6 | |||
Nice | France | Western Europe | 36.1 (2015)[9] | 46.0 | |||
Niigata | Japan | East Asia | 50.3 | ||||
Ningbo | China | East Asia | 145.8 (2017)[13] | 179.0 | 45.0 | ||
Nottingham-Derby | United Kingdom | Northern Europe | 51.0 | ||||
Nürnberg-Fürth | Germany | Western Europe | 164.6 (2014)[51] | 74.5 | |||
Okayama | Japan | East Asia | 56.8 | ||||
Oklahoma City | United States | North America | 70.235 (2016)[8] | 70.010 | |||
Omaha | United States | North America | 61.289 (2016)[8] | 51.2 | |||
Orlando | United States | North America | 132.448 (2017)[8] | 116.2 | |||
Osaka–Kobe | Japan | East Asia | 681 (2015) | 671.3[Note 6] | 417 | 612.8[52] | |
Oslo | Norway | Northern Europe | 74.0 (2014)[53] | 74.4 | 40 | ||
Ottawa | Canada | North America | 58.2 | ||||
Oxnard | United States | North America | 48.516 (2016)[8] | 46.3 | |||
Paris | France | Western Europe | 724 (2016)[54] | 715.1 | 564 | 764.2 | |
Patna | India | South Asia | 15 | 11 | |||
Perth | Australia | Oceania | 112.2 (2015–16)[55] | 134.0 | |||
Philadelphia | United States | North America | 444.975 (2017)[8] | 346.5 | 388 | 314.5 | 295.2[11] |
Phoenix | United States | North America | 242.951 (2017)[8] | 207.1 | 200 | 181.6 | 160[11] |
Pittsburgh | United States | North America | 147.367 (2017)[8] | 138.4 | 99 | 102.1[11] | |
Portland | United States | North America | 171.772 (2017)[8] | 158.5 | 110 | 95.6[11] | |
Porto | Portugal | Southern Europe | 31.3 (2015)[9] | 43.0 | |||
Porto Alegre | Brazil | South America | 45.506 (2011)[10] | 62.1 | 66 | ||
Portsmouth | United Kingdom | Northern Europe | 25.9 (2016)[9] | 51.6[Note 7] | |||
Prague | Czech Republic | Central Europe | 73.0 (2016)[9] | 89.2 | 49 | ||
Pretoria | South Africa | Africa | 49.9 | ||||
Providence | United States | North America | 80.164 (2016)[8] | 78.114 | |||
Puebla | Mexico | North America | 38.1 | 42 | |||
Pune | India | South Asia | 138 | 89 | 78 | 49 | |
Pyongyang | North Korea | East Asia | 11 | ||||
Qingdao | China | East Asia | 163.5 (2017)[13] | 208.7 | 48.1 | ||
Quebec City | Canada | North America | 33.4 | ||||
Raleigh | United States | North America | 83.288 (2017)[8] | 64.4 | |||
Rangoon | Myanmar | South-East Asia | 24 | ||||
Recife | Brazil | South America | 36.448 (2011)[10] | 40.5 | 35 | ||
Rhine-Ruhr | Germany | Western Europe | 350.30 (2014)[51] | 485.2 | 39[Note 8] | 484.6 | |
Richmond | United States | North America | 80.702 (2016)[8] | 71.589 | |||
Riga | Latvia | Northern Europe | 16.0 (2014)[56] | ||||
Rio de Janeiro | Brazil | South America | 209.366 (2011)[10] | 176.6 | 201 | 180.9 | |
Riyadh | Saudi Arabia | Western Asia | 163.5 | 107 | 122.7 | ||
Rochester | United States | North America | 55.426 (2016)[8] | 67.8 | |||
Rome | Italy | Southern Europe | 166.8 (2015)[9] | 163.2 | 144 | ||
Rotterdam | Netherlands | Western Europe | 69.0 (2015)[9] | 320.6[Note 9] | 46 | ||
Saarbrucken | Germany | Western Europe | 41.7 | ||||
Sacramento | United States | North America | 126.352 (2017)[8] | 127.4 | |||
Salt Lake City | United States | North America | 87.801 (2017)[8] | 73.836 | |||
St. Louis | United States | North America | 161.281 (2017)[8] | 140.6 | 126 | 116.2[11] | |
Saint Petersburg | Russia | Eastern Europe | 63[48] | 119.6 | 91 | ||
Salvador | Brazil | South America | 38.819 (2011)[10] | 38.5 | 10 | ||
San Antonio | United States | North America | 129.298 (2017)[8] | 102.771 | 146.3[11] | ||
San Bernardino-Riverside | United States | North America | 157.931 (2017)[8] | 154.904 | |||
San Diego | United States | North America | 231.845 (2017)[8] | 202.5 | 191 | 172.9 | 146.3[11] |
San Francisco | United States | North America | 500.710 (2017)[8] | 331.0 | 301 | 283.3 | 268.3[11] |
San Jose | United States | North America | 275.293 (2017)[8] | 160.3 | |||
San Juan | Puerto Rico | Caribbean | 42.7 | ||||
Santiago | Chile | South America | 171.4 | 120 | 93.0 | ||
Santos | Brazil | South America | 28.609 (2011)[10] | ||||
São José dos Campos | Brazil | South America | 30.148 (2011)[10] | ||||
São José dos Pinhais | Brazil | South America | 14.726 (2011)[10] | ||||
São Paulo | Brazil | South America | 241.538 (2013)[10][57] | 430.5 | 388 | 437.3 | |
Sapporo | Japan | East Asia | 80.5 | ||||
Seattle | United States | North America | 356.572 (2017)[8] | 267.5 | 235 | 211.0 | 182.2[11] |
Sendai | Japan | East Asia | 75.3 | ||||
Seoul | South Korea | East Asia | 738.6 (2017)[58] | 845.9 | 291 | 233.3 | |
Seville | Spain | Southern Europe | 39.8 (2015)[9] | 35.8 | |||
Shanghai | China | East Asia | 469 (2017)[59] | 594.0 | 233 | 250.7 | 200.0[60] |
Shantou | China | East Asia | 34.8 (2017)[59] | 38.7 | |||
Sheffield | United Kingdom | Northern Europe | 17.4 (2016)[9] | 39.8 | |||
Shenyang | China | East Asia | 86.9 (2017)[59] | 189.3 | 44 | 64.3 | |
Shenzhen | China | East Asia | 338 (2017)[61] | 363.2 | 141.5 | ||
Shijiazhuang | China | East Asia | 95.7 (2017)[59] | 130.5 | |||
Shizuoka | Japan | East Asia | 58.4 | ||||
Singapore | Singapore | South-East Asia | 349.5 (2018)[62][63] | 365.9 | 215 | 222.7 | 267.9[64] |
Sofia | Bulgaria | Southern Europe | 24.0 (2016)[9] | 43.8 | |||
Sorocaba | Brazil | South America | 21.313 (2011)[10] | ||||
Southampton | United Kingdom | Northern Europe | 9.6 (2016)[9] | 51.6[Note 10] | |||
Springfield | United States | North America | 27.333 (2016)[8] | 32.8 | |||
Stockholm | Sweden | Northern Europe | 180[65] | 143.0 | 70 | 208[65] | |
Strasbourg | France | Western Europe | 37.3 | ||||
Stuttgart | Germany | Western Europe | 173.5 (2016)[9] | 157.8 | |||
Surabaya | Indonesia | South-East Asia | 70 (2016)[66] | 102 (2016)[67] | |||
Surat | India | South Asia | 59.8 | 36 | 14 | ||
Suzhou | China | East Asia | 256.5 (2017)[13] | 339.0 | 52.7 | ||
Sydney | Australia | Oceania | 302.7 (2015–16)[68] | 223.4 | 213 | 268.9 | |
Syracuse | United States | North America | 32.683 (2016)[8] | 40.6 | |||
Taichung | Taiwan | East Asia | 114.7 | ||||
Tainan | Taiwan | East Asia | 76.7 | ||||
Taipei | Taiwan | East Asia | 327.3 | 160.3 | 172.5[69] | ||
Taiyuan | China | East Asia | 63.0 | ||||
Tallinn | Estonia | Northern Europe | 16.0 (2014)[70] | ||||
Tampa | United States | North America | 146.349 (2017)[8] | 130.3 | 123 | 101[11] | |
Tangshan | China | East Asia | 105.3 (2017)[59] | 162.3 | 33.6 | ||
Taoyuan | Taiwan | East Asia | 86.8 | ||||
Tbilisi | Georgia | Western Asia | 8.0 (2017)[71] | ||||
Tehran | Iran | South Asia | 127 | ||||
Tel Aviv | Israel | Western Asia | 153.3 | 122 | 114.8 | ||
Thessaloniki | Greece | Southern Europe | 19.8 (2011)[72] | ||||
Tianjin | China | East Asia | 275.4 (2017)[73] | 372.0 | 74 | 128.8 | |
Tokyo | Japan | East Asia | 1,893 (2015)[74] | 1,617 | 1,479 | 1,874.7 | 1,997.5[75] 1,797.9[76] |
Toronto | Canada | North America | 303 (2014)[77] | 276.3 | 253 | 270.0 | |
Toulouse | France | Western Europe | 58.7 (2015)[9] | 47.4 | |||
Tucson | United States | North America | 37.040 (2016)[8] | 41.2 | |||
Tulsa | United States | North America | 58.248 (2016)[8] | 48.6 | 46.4[78] | ||
Turin | Italy | Southern Europe | 76.9 (2015)[9] | 78.8 | 68 | ||
Uberlandia | Brazil | South America | 14.728 (2011)[10] | ||||
Valencia | Spain | Southern Europe | 60.1 (2015)[9] | 52.7 | |||
Vancouver | Canada | North America | 109.8 | 95 | |||
Venice-Padua | Italy | Southern Europe | 62.2 (2015)[9] | 57.3 | |||
Vienna | Austria | Western Europe | 131.9 (2015)[9] | 183.7[Note 11] | 122 | ||
Vilnius | Lithuania | Northern Europe | 20.0 (2016)[32] | ||||
Virginia Beach | United States | North America | 94.855 (2017)[8] | 92.1 | |||
Visakhapatnam | India | South Asia | 43.5 | 6 | |||
Vitória | Brazil | South America | 28.357 (2011)[10] | 35.6 | |||
Warsaw | Poland | Central Europe | 100 (2017)[79] | 141.1 | 68 | ||
Washington, DC | United States | North America | 529.990 (2017)[8] | 442.2 | 375 | 392.2 | |
Wenzhou | China | East Asia | 80.8 (2017)[13] | 101.9 | |||
Winnipeg | Canada | North America | 32.5 | ||||
Worcester | United States | North America | 44.7 | ||||
Wuhan | China | East Asia | 198.6 (2017)[13] | 231.6 | 52 | 82.2 | |
Wulumuqi | China | East Asia | 59.6 | ||||
Wuxi | China | East Asia | 155.7 (2017)[13] | 211.5 | 47.0 | ||
Xiamen | China | East Asia | 64.4 (2017)[13] | 76.1 | 30.4 | ||
Xian | China | East Asia | 110.6 (2017)[13] | 124.2 | 31 | 40.6 | |
Xuzhou | China | East Asia | 97.8 (2017)[13] | 113.2 | 22.4 | ||
Yantai | China | East Asia | 108.7 (2017)[13] | 149.0 | |||
Zhengzhou | China | East Asia | 135.3 (2017)[13] | 156.0 | |||
Zhongshan | China | East Asia | 51.1 (2017)[13] | 68.7 | |||
Zhuhai | China | East Asia | 38.0 (2017)[13] | 41.3 | |||
Zibo | China | East Asia | 70.8 (2017)[13] | 100.3 | |||
Zürich | Switzerland | Western Europe | 109.1 | 52 |
- Notes
- ^ This includes Rotterdam.
- ^ This includes Malmö.
- ^ This includes only Fukuoka.
- ^ This includes Bradford.
- ^ Projection for 2017 based on $33 billion in 2010 and $61 for 2025. ((($61/$33)^(1/15))^7)*$33= $43,956.998 million.
- ^ This includes Kyoto.
- ^ This includes Southampton.
- ^ This includes only Cologne and Bonn in the PwC study.
- ^ This includes Amsterdam.
- ^ This includes Portsmouth.
- ^ This includes Bratislava.
See also
- List of cheapest cities
- List of countries by GDP
- List of metropolitan areas in the European Union by GDP
- List of U.S. metropolitan areas by GDP
- List of most expensive cities for expatriate employees
- List of country subdivisions by GDP over 200 billion USD
References
- ^ "Composition of macro geographical (continental) regions, geographical sub-regions, and selected economic and other groupings". United Nations. Retrieved 23 October 2012.
- ^ "Global city GDP 2014". Brookings Institution. Retrieved 8 May 2015.
- ^ "Global city GDP rankings 2008-2025". Pricewaterhouse Coopers. Archived from the original on 4 May 2011. Retrieved 16 December 2009.
- ^ "The Most Dynamic Cities of 2025". Foreign Policy. Retrieved 24 August 2012.
- ^ a b "2008 estimate" (xls). Office for National Statistics. 6 March 2012. Retrieved 13 August 2013.
- ^ "Abu Dhabi Economic Report" (PDF).
- ^ 2015–16 est. / SGSEP AUD 78,251 million according to the SGS Economics and Planning table, i.e. US$59.1 billion at current exchange rates, using the 8 June 2017 AUD/USD exchange rate used by the IMF
- ^ a b c d e f g h i j k l m n o p q r s t u v w x y z aa ab ac ad ae af ag ah ai aj ak al am an ao ap aq ar as at au av aw ax ay az ba bb bc bd be bf bg bh bi bj bk bl bm bn bo bp bq br bs bt bu bv bw bx by "Gross Domestic Product by Metropolitan Area, 2016". Bureau of Economic Analysis. U.S. Department of Commerce. 20 September 2017. Retrieved 19 February 2018.
- ^ a b c d e f g h i j k l m n o p q r s t u v w x y z aa ab ac ad ae af ag ah ai aj ak al am an ao ap aq ar as at au av aw ax ay az ba bb bc bd be "Eurostat".
- ^ a b c d e f g h i j k l m n o p q r s t u v "Posição ocupada pelos maiores municípios brasileiros em relação ao Produto Interno Bruto, Est. 2013". IBGE. 2013. Archived from the original on 19 February 2016.
- ^ a b c d e f g h i j k l m n o p q r s t u v w x "2005 est. / Metropolitan Area G" (PDF).
- ^ "Badan Pusat Statistik Kota Bandung". bandungkota.bps.go.id. Retrieved 28 February 2019.
- ^ a b c d e f g h i j k l m n o p q r s t u v w x y z aa ab ac ad ae af ag ah "National Bureau of Statistics of China". data.stats.gov.cn. Retrieved 25 August 2017.
- ^ "北京市2017年国民经济和社会发展统计公报". bjstats.gov.cn. Retrieved 18 March 2018.
- ^ Statistical Yearbook of Serbia, pp. 146–47. Statistical Office of Serbia. GDP of Belgrade district in 2014 was 1,514,166 mio RSD x 0.0115 = 17.4 bn USD.
- ^ a b c d Baden-Württemberg, Statistisches Landesamt. "Aktuelle Ergebnisse – VGR dL". www.statistik-bw.de (in German). Retrieved 16 June 2018.
- ^ 2015–16 est. / SGSEP AUD 157,931 million according to the SGS Economics and Planning table, i.e. US$120.6 billion at current exchange rates, using the 8 June 2017 AUD/USD exchange rate used by the IMF
- ^ "Booming city adding £12 billion to GDP". Cambridge News. Archived from the original on 25 November 2011. Retrieved 11 August 2008.
- ^ "Global cities of the future: An interactive map | McKinsey & Company". mckinsey.com. Retrieved 7 January 2017.
- ^ "National Bureau of Statistics of China". data.stats.gov.cn. Retrieved 25 August 2017.
- ^ http://www.usmayors.org/wp-content/uploads/2018/06/Metro-Economies-GMP-June-2018.pdf
- ^ "Punjab At A Glance". Punjab Board of Investment & Trade, Government of The Punjab. 2016. Archived from the original on 16 April 2017. Retrieved 15 April 2017.
- ^ Approx., 2013 est. / GDP of Fukuoka Prefecture is 19.0 trillion yen (approximately US$185 billion). Cabinet Office, Government of Japan. Retrieved 14 August 2016.
- ^ 2010 est. / JPY 13,811 billion according to Urban Employment Area. "Metropolitan Employment Area (MEA) Data". Center for Spatial Information Science, University of Tokyo.
- ^ "National Bureau of Statistics of China". data.stats.gov.cn. Retrieved 25 August 2017.
- ^ "Hong Kong". International Monetary Fund. Retrieved 25 August 2017.
- ^ "2012 est. / CIA World Factbook: Hong Kong". CIA. Archived from the original on 14 May 2009. Retrieved 3 February 2013.
- ^ "BPS Provinsi DKI Jakarta". jakarta.bps.go.id. Retrieved 28 February 2019.
- ^ https://www.lloyds.com/cityriskindex/locations/city/jerusalem
- ^ "Rodiklių duomenų bazė - Oficialiosios statistikos portalas". osp.stat.gov.lt.
- ^ "Головне управління статистики м.Києва - Статистична інформація". kiev.ukrstat.gov.ua.
- ^ a b "Statistinių rodiklių analizė". Osp.stat.gov.lt. Retrieved 1 April 2017.
- ^ "Lagos Gross Domestic Product" (PDF). Lagos State Government. 2010. Archived from the original (PDF) on 25 April 2015. Retrieved 16 March 2015.
- ^ "Lahore Fact Sheet". Lloyd's. Archived from the original on 21 August 2016. Retrieved 19 August 2016.
- ^ "GaWC – The World According to GaWC 2016". lboro.ac.uk. 24 April 2017. Retrieved 30 April 2017.
- ^ "Leicester" (PDF). Leicester and Leicestershire Enterprise Partnership. Autumn 2009. Archived from the original (PDF) on 13 August 2013.
/catid/22/ LLEP
- ^ http://ec.europa.eu/eurostat/documents/2995521/8700651/1-28022018-BP-EN/15f5fd90-ce8b-4927-9a3b-07dc255dc42a 2016 est. / Eurostat] €560 billion according to Eurostat, i.e. US$595.7 using the 2016 euro/dollar exchange rate of 0.940.
- ^ a b "GDP by Metropolitan Area | U.S. Bureau of Economic Analysis (BEA)". www.bea.gov.
- ^ http://www.brookings.edu/research/global-metro-monitor/
- ^ "GDP". Timetric. 1 January 2010.
- ^ "GDP of Lyon". Insee. October 2014.
/catid/22/ LLEP
- ^ "Macau". International Monetary Fund. Retrieved 25 August 2017.
- ^ "Badan Pusat Statistik Kota Medan". medankota.bps.go.id. Retrieved 28 February 2019.
- ^ "Pemerintah Provinsi Sumatera Utara – Perekonomian Daerah". Sumutprov.go.id. Retrieved 1 April 2017.
- ^ 2015–16 est. / SGSEP AUD 303,560 million according to the SGS Economics and Planning table, i.e. US$229.188 billion at current exchange rates, using the 8 June 2017 AUD/USD exchange rate used by the IMF
- ^ http://www.belstat.gov.by/bitrix/urlrewrite.php[permanent dead link ]
- ^ "Global Cities of the Future". McKinsey. Retrieved 19 January 2016.
{{cite web}}
: CS1 maint: url-status (link) - ^ a b "Валовой региональный продукт::Мордовиястат". Mrd.gks.ru. Retrieved 1 April 2017.
- ^ Approx., 2013 est. / GDP of Aichi Prefecture is 37.8 trillion yen (approximately US$368 billion). Cabinet Office, Government of Japan. Retrieved 14 August 2016.
- ^ 2010 est. / JPY 22,497 billion according to Urban Employment Area. "Metropolitan Employment Area (MEA) Data". Center for Spatial Information Science, University of Tokyo.
- ^ a b "Bruttoinlandsprodukt in den Metropolregionen in Deutschland 2014 | Statistik". Statista (in German). Retrieved 16 June 2018.
- ^ 2010 est. / JPY 53,790 billion according to Urban Employment Area. "Metropolitan Employment Area (MEA) Data". Center for Spatial Information Science, University of Tokyo.
- ^ Regional Accounts, 2014 – Statistics Norway. National GDP at 2,707.8 bn NOK, Oslo at 17.1 % of the total = 463 bn NOK x 0.16 = 74 bn USD.
- ^ http://ec.europa.eu/eurostat/documents/2995521/8700651/1-28022018-BP-EN/15f5fd90-ce8b-4927-9a3b-07dc255dc42a 2016 est. / Eurostat] €681 billion according to Eurostat, i.e. US$724 using the 2016 euro/dollar exchange rate of 0.940.
- ^ 2015–16 est. / SGSEP AUD 148,674 million according to the SGS Economics and Planning table, i.e. US$112.2 billion at current exchange rates, using the 8 June 2017 AUD/USD exchange rate used by the IMF
- ^ "2.1. Gross Domestic Product | Stratēģijas Uzraudzības Sistēma". www.sus.lv.
- ^ "US DOLLAR RATES FOR 12/31/2013 / BRAZILIAN REAL". EXCHANGE-RATES.ORG. 2013.
- ^ 2017 est. Statistics Korea Seoul Capital Area includes Incheon and Gyeonggi-do, so metro GDP = 372,110+84,059+414,339 = 870,508 billion Won, at 2017 average exchange rate of 1178.585KRW per USD.
- ^ a b c d e "Shanghai first Chinese city to top 3 trillion yuan GDP". China Daily. Retrieved 20 January 2018.
- ^ "2008 est. / Global woes pinch rise in city GDP". ShanghaiDaily. 22 January 2009. Retrieved 25 December 2009.
- ^ "Shenzhen economic expansion dwarfs growth in Hong Kong and Singapore". South China Morning Post. 15 January 2018.
- ^ "2011 est. / Singapore: Economic Indicators". Statistics Singapore. Archived from the original on 21 February 2009. Retrieved 3 February 2013.
- ^ Singapore GDP in 2011 estimate is 326.8 Billion SGD, which is equivalent to 263.6 Billion USD using 3 February 2013 exchange rate
- ^ "2012 est. / CIA World Factbook: Singapore". CIA. Retrieved 3 February 2013.
- ^ a b "Contacts – City of Stockholm". International.stockholm.se. Retrieved 1 April 2017.
- ^ East Java BPS, Statistics Indonesia. "Surabaya Urban Area (Surabaya + Gresik + Sidoarjo)". jatim.bps.go.id (in Indonesian). Retrieved 4 November 2018.[dead link ]
- ^ East Java BPS, Statistics Indonesia. "Gerbangkertosusila - Surabaya Metropolitan Area (Gresik + Bangkalan + Mojokerto city and regency + Surabaya + Sidoarjo + Lamongan)". jatim.bps.go.id (in Indonesian). Retrieved 4 November 2018.[dead link ]
- ^ 2015–16 est. / SGSEP AUD 400,900 million according to the SGS Economics and Planning table, i.e. US$302.7 billion at current exchange rates, using the 8 June 2017 AUD/USD exchange rate used by the IMF
- ^ 2009 est. Taipei city has second-highest per capita GDP in Asia Archived 22 January 2013 at the Wayback Machine
- ^ "Harju County". issuu.
- ^ "საქართველოს სტატისტიკის ეროვნული სამსახური". www.geostat.ge (in Georgian).
- ^ Approx., 2011 est. / Eurostat. Archived 6 October 2014 at the Wayback Machine Retrieved 11 May 2017.
- ^ "National Bureau of Statistics of China". data.stats.gov.cn. Retrieved 25 August 2017.
- ^ "TOKYO STATISTICAL YEARBOOK". www.toukei.metro.tokyo.jp.
- ^ "2009 est. / World's Largest Metropolitan Regions by LRP" (PDF). University of Toronto. Retrieved 1 March 2009.
- ^ 2010 est. / JPY 157,820 billion according to Urban Employment Area. "Metropolitan Employment Area (MEA) Data". Center for Spatial Information Science, University of Tokyo.
- ^ "Economic Indicators" (PDF). www1.toronto.ca. Archived from the original (PDF) on 29 September 2017. Retrieved 28 April 2017. Toronto CMA GDP was 334.1B CAD, converted at the average CAD/USD exchange rate of 1.104 for 2014.
- ^ 2011 est., U.S. Metro Economies Archived 13 August 2012 at the Wayback Machine by IHS Global Insight for The U.S. Conference of Mayors
- ^ https://ec.europa.eu/eurostat/documents/2995521/9618249/1-26022019-AP-EN.pdf/f765d183-c3d2-4e2f-9256-cc6665909c80