List of cities by GDP
This is a list of cities and/or their metropolitan areas in the world by GDP. The methodology may differ between the studies and are widely based on projections and sometimes approximate estimations, notably for non-OECD cities (refer to sources for more information.)
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 | Western Europe | 99.7 | |||||
Aberdeen | Northern Europe | 11.3 (2008)[5] | |||||
Abidjan | Africa | 13 | |||||
Abu Dhabi | Western Asia | 119[6] | 178.3 | 67.1 | |||
Addis Ababa | Africa | 12 | |||||
Adelaide | Oceania | 59.1 (2015–16)[7] | 47.4 | ||||
Ahmedabad | South Asia | 59 | 22 | ||||
Akron | North America | 37.300 (2016)[8] | 32.8 | ||||
Albany | North America | 52.339 (2016)[8] | 58.4 | ||||
Albuquerque | North America | 43.250 (2016)[8] | 39.9 | ||||
Alexandria | Africa | 32.4 | 46 | ||||
Algiers | Africa | 45 | |||||
Allentown | North America | 42.700 (2016)[8] | 37.3 | ||||
Almaty | East Asia | 53.1 | |||||
Amsterdam | Western Europe | 154.0 (2015)[9] | 320.6[Note 1] | 47 | |||
Anápolis | South America | 6.740 (2011)[10] | |||||
Ankara | Western Asia | 104.9 | 58 | 64.9 | |||
Anshan | East Asia | 67.4 | |||||
Arnhem-Nijmegen | Western Europe | 27.9 (2016)[9] | 44.4 | ||||
Athens | Southern Europe | 93.7 (2015)[9] | 129.6 | 96 | |||
Atlanta | North America | 363.768 (2016)[8] | 294.4 | 304 | 249.7 | 242.4[11] | |
Auckland | Oceania | 49.5 | 55 | ||||
Austin | North America | 135.010 (2016)[8] | 107.4 | ||||
Bakersfield | North America | 35.162 (2016)[8] | 47.9 | ||||
Baghdad | Western Asia | 24 | |||||
Baltimore | North America | 187.395 (2016)[8] | 173.7 | 137 | 118.1[11] | ||
Bandung | South-East Asia | 21 | |||||
Bangalore | South Asia | 45.1 | 69 | 28.6 | |||
Bangkok | South-East Asia | 306.8 | 119 | 105.0 | |||
Baotou | East Asia | 40.8 (2017) [12] | 94.1 | ||||
Barcelona | Southern Europe | 167.8 (2015)[9] | 171.0 | 177 | |||
Basel-Mulhouse | Western Europe | 56.2 | |||||
Baton Rouge | North America | 51.149 (2014)[8] | 53.5 | ||||
Beijing | East Asia | 441.4 (2017)[13] | 506.1 | 166 | 206.2 | ||
Belfast | Northern Europe | 25.5 (2015)[9] | |||||
Belgrade | Southern Europe | 17.4 (2014)[14] | |||||
Belo Horizonte | South America | 54.996 (2011)[10] | 84.7 | 61 | 78.5 | ||
Berlin | Western Europe | 215.2 (2015)[15] | 157.7 | 95 | |||
Bielefeld-Detmold | Western Europe | 50.5 | |||||
Bilbao | Southern Europe | 36.9 (2015)[9] | 38.5 | ||||
Birmingham | Northern Europe | 81.8 (2016)[9] | 121.1 | 90 | |||
Birmingham, Alabama | North America | 62.758 (2016)[8] | 54.164 | ||||
Bogotá | South America | 159.9 | 100 | 221.1 (2015) | |||
Bologna | Southern Europe | 43.4 (2015)[9] | 36.3 | ||||
Bordeaux | Western Europe | 55.9 (2015)[9] | 40.2 | ||||
Boston | North America | 422.660 (2016)[8] | 360.1 | 363 | 261.1[11] | ||
Brasília | South America | 164.482 (2011)[10] | 141.9 | 110 | 101.6 | ||
Braunschweig-Wolfsburg | Western Europe | 45.5 | |||||
Bremen | Western Europe | 30.4 (2015)[15] | 47.9 | ||||
Bridgeport | North America | 102.401 (2016)[8] | 70.0 | ||||
Brisbane | Oceania | 120.6 (2015–16)[16] | 96.6 | ||||
Bristol | Northern Europe | 51.5 (2016)[9] | 47.7 | ||||
Brussels | Western Europe | 144.359 (2016)[9] | 254.3 | 83 | |||
Bucharest | Eastern Europe | 49.407 (2016)[9] | 72.4 | ||||
Budapest | Eastern Europe | 58.5 (2016)[9] | 98.0 | 53 | |||
Buenos Aires | South America | 315.9 | 362 | 191.7 | |||
Buffalo | North America | 58.062 (2016)[8] | 72.7 | ||||
Bursa | Western Asia | 80.1 | |||||
Busan | East Asia | 296.5 | 121 | ||||
Cairo | Africa | 102.2 | 145 | ||||
Calgary | North America | 97.9 | |||||
Cambridge | Northern Europe | 18.6[17] | |||||
Campinas | South America | 40.525 (2011)[10] | 59.3 | ||||
Campo Grande | South America | 9.211 (2011)[10] | |||||
Campos dos Goytacazes | South America | 16.174 (2011)[10] | |||||
Cape Town | Africa | 58.9 | 103 | ||||
Caracas | South America | 51.8 | 41 | 92[18] | |||
Cardiff-Newport | Northern Europe | 33.7 (2016)[9] | 36.0 | ||||
Casablanca | Africa | 37.9 | 33 | ||||
Changchun | East Asia | 96.7 (2017) [12] | 124.5 | 26 | |||
Changsha | East Asia | 156.0 (2017) [12] | 186.4 | 40.3 | |||
Changzhou | East Asia | 98.1 (2017) [12] | 110.9 | 34.3 | |||
Charlotte | North America | 163.637 (2016)[8] | 126.2 | ||||
Chengdu | East Asia | 205.7 (2017) [19] | 233.5 | 33 | 57.8 | ||
Chennai | South Asia | 58.6 | 66 | ||||
Chicago | North America | 651.222 (2016)[8] | 563.2 | 574 | 496.4 | 461.4[11] | |
Chittagong | South Asia | 24 | |||||
Chongqing | East Asia | 288.8 (2017) [12] | 315.6 | 57 | 88.6 | ||
Cincinnati | North America | 132.010 (2016)[8] | 110.9 | ||||
Cleveland | North America | 129.440 (2016)[8] | 115.1 | 112 | 99.3[11] | ||
Columbia | North America | 40.086 (2016)[8] | 37.2 | ||||
Columbus | North America | 130.758 (2016)[8] | 108.9 | ||||
Copenhagen | Northern Europe | 134.3 (2016)[9] | 127.0[Note 2] | 49 | |||
Cracow | Eastern Europe | 22.0 (2015)[9] | 33.1 | ||||
Coventry | Northern Europe | 7.4 (2008)[5] | |||||
Curitiba | South America | 58.082 (2011)[10] | 57.7 | 44 | |||
Daegu | East Asia | 54.5 | 43 | ||||
Daejeon | East Asia | 39.6 | |||||
Dalian | East Asia | 109.1 (2017) [12] | 198.8 | 53.8 | |||
Dallas-Fort Worth-Arlington | North America | 511.606 (2016)[8] | 412.7 | 338 | 324.9 | 315.5[11] | |
Daqing | East Asia | 39.7 (2017) [12] | 98.5 | ||||
Dayton | North America | 40.572 (2016)[8] | 37.5 | ||||
Dar es Salaam | Africa | 8 | |||||
Delhi | South Asia | 293.6 | 167 | 47.6 | |||
Denver | North America | 197.572 (2016)[8] | 169.7 | 165 | 131.6[11] | ||
Des Moines | North America | 50.246 (2016)[8] | 39.5 | ||||
Detroit | North America | 252.691 (2016)[8] | 207.5 | 253 | 198.6[11] | ||
Dhaka | South Asia | 78 | 29 | ||||
Doha | Western Asia | 98.8 | |||||
Dongguan | East Asia | 112.3 (2017) [12] | 141.1 | 62.7 | |||
Dongying | East Asia | 56.3 (2017) [12] | 83.7 | ||||
Dubai | Western Asia | 82.9 | |||||
Dublin | Northern Europe | 127.8 (2015)[9] | 90.1 | 61 | |||
Durban | Africa | 48.9 | |||||
Durham | North America | 43.908 (2016)[8] | 37.0 | ||||
East Rand | Africa | 55.3 | 54 | ||||
Edinburgh | Northern Europe | 41.8 (2016)[9] | 32.5 | ||||
Edmonton | North America | 83.0 | |||||
Eindhoven-Den Bosch | Western Europe | 91.5 | |||||
El Paso | North America | 28.644 (2016)[8] | 32.7 | ||||
Faisalabad | South Asia | 20.55[20] | 14 | ||||
Florence | Southern Europe | 40.1 (2015)[9] | 52.5 | ||||
Fortaleza | South America | 42.010 (2011)[10] | 35.2 | 25 | |||
Foshan | East Asia | 141.4 (2017) [12] | 184.5 | 83.5 | |||
Frankfurt | Western Europe | 230.0 | |||||
Fresno | North America | 40.465 (2016)[8] | 45.5 | ||||
Fukuoka–Kitakyushu | East Asia | 185 (2013)[21] | 193.3 | 88[Note 3] | 157.3[22] | ||
Fuzhou | East Asia | 105.2 (2017) [12] | 117.4 | 23.4 | |||
Geneva | Western Europe | 44.0 | |||||
George Town | South-East Asia | 38.0 | |||||
Glasgow | Northern Europe | 66.4 (2016)[9] | 56.7 | ||||
Gothenburg | Northern Europe | 84.4 (2016)[9] | 40.0 | ||||
Grand Rapids | North America | 58.465 (2016)[8] | 51.6 | ||||
Greensboro | North America | 39.944 (2016)[8] | 40.9 | ||||
Greenville | North America | 40.693 (2016)[8] | 35.6 | ||||
Goiânia | South America | 22.763 (2011)[10] | |||||
Guadalajara | North America | 80.7 | 81 | ||||
Guangzhou | East Asia | 341 (2017) [12] | 380.3 | 143 | 146.1 | ||
Gwangju | East Asia | 36.7 | |||||
Haifa | Western Asia | 40.4 | |||||
Hamamatsu | East Asia | 52.3 | |||||
Hamburg | Western Europe | 120.1 (2015)[15] | 161.4 | 74 | |||
Hangzhou | East Asia | 150.8 (2015) [23] | 219.5 | 70.5 | |||
Hannover | Western Europe | 51.5 (2015)[15] | 59.6 | ||||
Hanoi | South-East Asia | 42 | |||||
Harbin | East Asia | 94.1 (2017) [12] | 127.9 | 38.8 | |||
Harrisburg | North America | 35.465 (2016)[8] | 35.1 | ||||
Hartford | North America | 90.004 (2016)[8] | 101.2 | ||||
Hefei | East Asia | 106.8 (2017) [12] | 120.9 | 31.2 | |||
Helsinki | Northern Europe | 90.8 (2015)[9] | 77.1 | 58 | |||
Hiroshima | East Asia | 74.9 | |||||
Ho Chi Minh City | South-East Asia | 71.1 | 58 | ||||
Hong Kong | East Asia | 364.8 (2018)[24] | 416.0 | 320 | 224.5 | 258.0[25] | |
Honolulu | North America | 64.756 (2016)[8] | 58.6 | ||||
Houston | North America | 478.618 (2016)[8] | 483.2 | 297 | 341.1 | 316.3[11] | |
Hsinchu | East Asia | 38.4 | |||||
Huhehaote | East Asia | 70.1 | |||||
Huntsville | North America | 24.846 (2016)[8] | |||||
Hyderabad | South Asia | 40.2 | 59 | ||||
Indianapolis | North America | 125.864 (2014)[8] | 113.606 | ||||
Islamabad | South Asia | ||||||
Istanbul | Western Asia | 348.7 | 182 | 188.2 | |||
Izmir | Western Asia | 80.1 | 42 | ||||
Jacksonville | North America | 71.471 (2016)[8] | 63.8 | ||||
Jaipur | South Asia | 24 | 20 | ||||
Jakarta | South-East Asia | 321.3 | 92 | 70.7 | |||
Jeddah | Western Asia | 160.6 | 72 | 75.9 | |||
Jerusalem | Western Asia | 48.0 (2015)[26] | |||||
Jinan | East Asia | 106.7 (2017) [12] | 136.8 | 43.2 | |||
Johannesburg | Africa | 82.9 | 110 | ||||
Jundiaí | South America | 20.081 (2011)[10] | |||||
Kabul | South Asia | 14 | |||||
Kagoshima | East Asia | 34.3 | |||||
Kano | Africa | 9 | |||||
Kanpur | South Asia | 26 | 4 | ||||
Kansas City | North America | 129.163 (2016)[8] | 105.9 | 91.2[11] | |||
Kaohsiung | East Asia | 113.647 | 78 | 28 | |||
Karachi | South Asia | 78 | 28 | ||||
Karlsruhe | Western Europe | 37.6 (2015)[9] | 137.1 | ||||
Katowice | Eastern Europe | 37.9 (2015)[9] | 122.3 | ||||
Kaunas | Northern Europe | 10.0 (2016)[27] | |||||
Khartoum | Africa | 35 | |||||
Kiev | Eastern Europe | 35.0 (2012)[28] | |||||
Kingston-upon-Hull | Northern Europe | 17.7 (2016)[9] | |||||
Kinshasa | Africa | 17 | |||||
Klaipėda | Northern Europe | 6.0 (2016)[29] | |||||
Knoxville | North America | 39.825 (2016)[8] | 38.3 | ||||
Kolkata | South Asia | 60.4 | 104 | ||||
Kuala Lumpur | South-East Asia | 171.8 | |||||
Kumamoto | East Asia | 41.8 | |||||
Kunming | East Asia | 72.0 (2017) [12] | 88.6 | ||||
Kuwait City | Western Asia | 166.5 | 117.5 | ||||
Lagos | Africa | 74.67 (2010)[30] | 35 | ||||
Lahore | South Asia | 40 | 13 | ||||
Las Vegas | North America | 111.091 (2016)[8] | 93.9 | ||||
Leeds | Northern Europe | 44.8 (2016)[9] | 74.6[Note 4] | 60 | |||
Leicester | Northern Europe | 46.8 (2016)[9] | 28.7[31] | ||||
Leipzig-Halle | Western Europe | 33.4 (2015)[9] | 39.6 | ||||
Lille | Western Europe | 83.3 (2015)[9] | 98.5 | 33 | |||
Lima | South America | 176.5 | 109 | 77.3 | |||
Linz | Western Europe | 37.9 (2015)[9] | 44.6 | ||||
Lisbon | Southern Europe | 72.0 (2015)[9] | 96.3 | 98 | |||
Little Rock | North America | 37.796 (2016)[8] | 40.7 | ||||
Liverpool | Northern Europe | 47.8 (2016)[9] | 65.8 | ||||
London | Northern Europe | 879.5 (2016)[9] | 835.7 | 565 | 751.8 | ||
Los Angeles | North America | 1,001 (2016)[32] | 860.5 | 792 | 731.8 | 632.4[11] | |
Louisville | North America | 74.968 (2016)[8] | 62.397 | ||||
Luanda | Africa | 33 | 38.6 | ||||
Lucknow | South Asia | 22 | |||||
Luxembourg-Trier | Western Europe | 62 (2014)[33] | 62 | ||||
Luton | Northern Europe | 7.2[34] | |||||
Lyon | Western Europe | 88.2 (2016)[9] | 97.0 | 69 | 197[35] | ||
Macau | East Asia | 53.7 (2018)[36] | 53.9 | ||||
Madison | North America | 47.425 (2016)[8] | 41.8 | ||||
Madrid | Southern Europe | 225.9 (2015)[9] | 262.3 | 230 | |||
Manaus | South America | 51.025 (2011)[10] | |||||
Manchester | Northern Europe | 113.7 (2016)[9] | 92.3 | 85 | |||
Manila | South-East Asia | 182.8 | 149 | ||||
Marseille | Western Europe | 104.1 (2015)[9] | 60.3 | ||||
Medellín | South America | 43.5 | 50 | ||||
Medan | South-East Asia | 8.09[37] | |||||
Melbourne | Oceania | 229.2 (2015–16)[38] | 178.4 | 172 | 221.4 | ||
Memphis | North America | 71.450 (2016)[8] | 65.0 | ||||
Mexico City | North America | 403.6 | 390 | 255.1 | |||
Miami | North America | 328.482 (2016)[8] | 262.7 | 292 | 235.9 | 231.8[11] | |
Milan | Southern Europe | 214.5 (2015)[9] | 312.1 | 136 | |||
Milwaukee | North America | 100.869 (2016)[8] | 86.5 | ||||
Minneapolis/St. Paul | North America | 246.689 (2016)[8] | 211.4 | 194 | 171.6[11] | ||
Minsk | Eastern Europe | 13.0 (2012)[39] | |||||
Monterrey | North America | 122.9 | 102 | ||||
Montevideo | South America | 44.0[40][Note 5] | |||||
Montreal | North America | 155.9 | 148 | ||||
Moscow | Eastern Europe | 225.0 (2015)[41] | 553.3 | 321 | 325.8 | ||
Mumbai | South Asia | 150.8 | 209 | 55.9 | |||
Munich | Western Europe | 190.0 (2016)[9] | 219.9 | 64 | |||
Nagoya | East Asia | 368 (2013)[42] | 363.8 | 256.3[43] | |||
Nagpur | South Asia | 18 | |||||
Nairobi | Africa | 12 | |||||
Nanchang | East Asia | 74.1 (2017) [12] | 96.0 | ||||
Nanjing | East Asia | 173.5 (2017) | 202.7 | 68.5 | |||
Nanning | East Asia | 61.0 (2017) [12] | 70.3 | ||||
Nantes | Western Europe | 51.0 (2016)[9] | 32.0 | ||||
Nantong | East Asia | 114.6 (2017) [12] | 128.3 | ||||
Naples | Southern Europe | 62.8 (2015)[9] | 85.5 | 51 | |||
Nashville | North America | 124.243 (2016)[8] | 95.0 | ||||
New Haven | North America | 44.120 (2016)[8] | 53.3 | ||||
New Orleans | North America | 77.173 (2016)[8] | 74.2 | ||||
New York | North America | 1,717.712 (2017)[44] | 1,403 | 1,406 | 1,180.3 | 1,056.4[11] | |
Newcastle | Northern Europe | 36.0 (2016)[9] | 44.6 | ||||
Nice | Western Europe | 36.1 (2015)[9] | 46.0 | ||||
Niigata | East Asia | 50.3 | |||||
Ningbo | East Asia | 145.8 (2017) [12] | 179.0 | 45.0 | |||
Nottingham-Derby | Northern Europe | 51.0 | |||||
Nürnberg-Fürth | Western Europe | 164.6 (2014)[45] | 74.5 | ||||
Okayama | East Asia | 56.8 | |||||
Oklahoma City | North America | 70.235 (2016)[8] | 70.010 | ||||
Omaha | North America | 61.289 (2016)[8] | 51.2 | ||||
Orlando | North America | 126.797 (2016)[8] | 116.2 | ||||
Osaka–Kobe | East Asia | 584 (2013)[46] | 671.3[Note 6] | 417 | 612.8[47] | ||
Oslo | Northern Europe | 74.0 (2014)[48] | 74.4 | 40 | |||
Ottawa | North America | 58.2 | |||||
Oxnard | North America | 48.516 (2016)[8] | 46.3 | ||||
Paris | Western Europe | 850 (2016)[49] | 715.1 | 564 | 764.2 | ||
Patna | South Asia | 15 | 11 | ||||
Perth | Oceania | 112.2 (2015–16)[50] | 134.0 | ||||
Philadelphia | North America | 431.038 (2016)[8] | 346.5 | 388 | 314.5 | 295.2[11] | |
Phoenix | North America | 230.070 (2016)[8] | 207.1 | 200 | 181.6 | 160[11] | |
Pittsburgh | North America | 138.137 (2016)[8] | 138.4 | 99 | 102.1[11] | ||
Portland | North America | 164.466 (2016)[8] | 158.5 | 110 | 95.6[11] | ||
Porto | Southern Europe | 31.3 (2015)[9] | 43.0 | ||||
Porto Alegre | South America | 45.506 (2011)[10] | 62.1 | 66 | |||
Portsmouth | Northern Europe | 25.9 (2016)[9] | 51.6[Note 7] | ||||
Prague | Eastern Europe | 73.0 (2016)[9] | 89.2 | 49 | |||
Pretoria | Africa | 49.9 | |||||
Providence | North America | 80.164 (2016)[8] | 78.114 | ||||
Puebla | North America | 38.1 | 42 | ||||
Pune | South Asia | 138 | 89 | 78 | 49 | ||
Pyongyang | East Asia | 11 | |||||
Qingdao | East Asia | 163.5 (2017) [12] | 208.7 | 48.1 | |||
Quebec City | North America | 33.4 | |||||
Raleigh | North America | 79.834 (2016)[8] | 64.4 | ||||
Rangoon | South-East Asia | 24 | |||||
Recife | South America | 36.448 (2011)[10] | 40.5 | 35 | |||
Rhine-Ruhr | Western Europe | 573.7 (2014)[45] | 485.2 | 39[Note 8] | 484.6 | ||
Richmond | North America | 80.702 (2016)[8] | 71.589 | ||||
Riga | Northern Europe | 16.0 (2014)[51] | |||||
Rio de Janeiro | South America | 209.366 (2011)[10] | 176.6 | 201 | 180.9 | ||
Riyadh | Western Asia | 163.5 | 107 | 122.7 | |||
Rochester | North America | 55.426 (2016)[8] | 67.8 | ||||
Rome | Southern Europe | 166.8 (2015)[9] | 163.2 | 144 | |||
Rotterdam | Western Europe | 69.0 (2015)[9] | 320.6[Note 9] | 46 | |||
Saarbrucken | Western Europe | 41.7 | |||||
Sacramento | North America | 122.218 (2016)[8] | 127.4 | ||||
Salt Lake City | North America | 84.826 (2016)[8] | 73.836 | ||||
St. Louis | North America | 159.888 (2016)[8] | 140.6 | 126 | 116.2[11] | ||
Saint Petersburg | Eastern Europe | 63[41] | 119.6 | 91 | |||
Salvador | South America | 38.819 (2011)[10] | 38.5 | 10 | |||
San Antonio | North America | 116.538 (2016)[8] | 102.771 | 146.3[11] | |||
San Bernardino-Riverside | North America | 149.059 (2016)[8] | 154.904 | ||||
San Diego | North America | 215.343 (2016)[8] | 202.5 | 191 | 172.9 | 146.3[11] | |
San Francisco | North America | 470.529 (2016)[8] | 331.0 | 301 | 283.3 | 268.3[11] | |
San Jose | North America | 252.487 (2016)[8] | 160.3 | ||||
San Juan | Caribbean | 42.7 | |||||
Santiago | South America | 171.4 | 120 | 93.0 | |||
Santos | South America | 28.609 (2011)[10] | |||||
São José dos Campos | South America | 30.148 (2011)[10] | |||||
São José dos Pinhais | South America | 14.726 (2011)[10] | |||||
São Paulo | South America | 582.079 (2013)[10] | 430.5 | 388 | 437.3 | ||
Sapporo | East Asia | 80.5 | |||||
Seattle | North America | 330.409 (2016)[8] | 267.5 | 235 | 211.0 | 182.2[11] | |
Sendai | East Asia | 75.3 | |||||
Seoul | East Asia | 635.4 (2015)[52] | 845.9 | 291 | 233.3 | ||
Seville | Southern Europe | 39.8 (2015)[9] | 35.8 | ||||
Shanghai | East Asia | 469 (2017) [53] | 594.0 | 233 | 250.7 | 200.0[54] | |
Shantou | East Asia | 34.8 (2017) [53] | 38.7 | ||||
Sheffield | Northern Europe | 17.4 (2016)[9] | 39.8 | ||||
Shenyang | East Asia | 86.9 (2017) [53] | 189.3 | 44 | 64.3 | ||
Shenzhen | East Asia | 338 (2017)[55] | 363.2 | 141.5 | |||
Shijiazhuang | East Asia | 95.7 (2017) [53] | 130.5 | ||||
Shizuoka | East Asia | 58.4 | |||||
Singapore | South-East Asia | 349.5 (2018)[56][57] | 365.9 | 215 | 222.7 | 267.9[58] | |
Sofia | Eastern Europe | 24.0 (2016)[9] | 43.8 | ||||
Sorocaba | South America | 21.313 (2011)[10] | |||||
Southampton | Northern Europe | 9.6 (2016)[9] | 51.6[Note 10] | ||||
Springfield | North America | 27.333 (2016)[8] | 32.8 | ||||
Stockholm | Northern Europe | 180[59] | 143.0 | 70 | 208[59] | ||
Strasbourg | Western Europe | 37.3 | |||||
Stuttgart | Western Europe | 173.5 (2016)[9] | 157.8 | ||||
Surat | South Asia | 59.8 | 36 | 14 | |||
Suzhou | East Asia | 256.5 (2017) [12] | 339.0 | 52.7 | |||
Sydney | Oceania | 302.7 (2015–16)[60] | 223.4 | 213 | 268.9 | ||
Syracuse | North America | 32.683 (2016)[8] | 40.6 | ||||
Taichung | East Asia | 114.7 | |||||
Tainan | East Asia | 76.7 | |||||
Taipei | East Asia | 327.3 | 160.3 | 172.5[61] | |||
Taiyuan | East Asia | 63.0 | |||||
Tallinn | Northern Europe | 16.0 (2014)[62] | |||||
Tampa | North America | 142.633 (2016)[8] | 130.3 | 123 | 101[11] | ||
Tangshan | East Asia | 105.3 (2017) [53] | 162.3 | 33.6 | |||
Taoyuan | East Asia | 86.8 | |||||
Tbilisi | Western Asia | 8.0 (2017)[63] | |||||
Tehran | South Asia | 127 | |||||
Tel Aviv | Western Asia | 153.3 | 122 | 114.8 | |||
Thessaloniki | Southern Europe | 19.8 (2011)[64] | |||||
Tianjin | East Asia | 275.4 (2017) [65] | 372.0 | 74 | 128.8 | ||
Tokyo | East Asia | 1,893 (2015)[66] | 1,617 | 1,479 | 1,874.7 | 1,997.5[67] 1,797.9[68] | |
Toronto | North America | 303 (2014)[69] | 276.3 | 253 | 270.0 | ||
Toulouse | Western Europe | 58.7 (2015)[9] | 47.4 | ||||
Tucson | North America | 37.040 (2016)[8] | 41.2 | ||||
Tulsa | North America | 58.248 (2016)[8] | 48.6 | 46.4[70] | |||
Turin | Southern Europe | 76.9 (2015)[9] | 78.8 | 68 | |||
Uberlandia | South America | 14.728 (2011)[10] | |||||
Valencia | Southern Europe | 60.1 (2015)[9] | 52.7 | ||||
Vancouver | North America | 109.8 | 95 | ||||
Venice-Padova | Southern Europe | 62.2 (2015)[9] | 57.3 | ||||
Vienna | Western Europe | 131.9 (2015)[9] | 183.7[Note 11] | 122 | |||
Vilnius | Northern Europe | 20.0 (2016)[71] | |||||
Virginia Beach | North America | 92.827 (2016)[8] | 92.1 | ||||
Visakhapatnam | South Asia | 43.5 | 6 | ||||
Vitória | South America | 28.357 (2011)[10] | 35.6 | ||||
Warsaw | Eastern Europe | 83.4 (2016)[9] | 141.1 | 68 | |||
Washington, DC | North America | 509.224 (2016)[8] | 442.2 | 375 | 392.2 | ||
Wenzhou | East Asia | 80.8 (2017) [12] | 101.9 | ||||
Winnipeg | North America | 32.5 | |||||
Worcester | North America | 44.7 | |||||
Wuhan | East Asia | 198.6 (2017) [12] | 231.6 | 52 | 82.2 | ||
Wulumuqi | East Asia | 59.6 | |||||
Wuxi | East Asia | 155.7 (2017) [12] | 211.5 | 47.0 | |||
Xiamen | East Asia | 64.4 (2017) [12] | 76.1 | 30.4 | |||
Xian | East Asia | 110.6 (2017) [12] | 124.2 | 31 | 40.6 | ||
Xuzhou | East Asia | 97.8 (2017) [12] | 113.2 | 22.4 | |||
Yantai | East Asia | 108.7 (2017) [12] | 149.0 | ||||
Zhengzhou | East Asia | 135.3 (2017) [12] | 156.0 | ||||
Zhongshan | East Asia | 51.1 (2017) [12] | 68.7 | ||||
Zhuhai | East Asia | 38.0 (2017) [12] | 41.3 | ||||
Zibo | East Asia | 70.8 (2017) [12] | 100.3 | ||||
Zürich | 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
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.
- 1 2 "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
- 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 "Gross Domestic Product by Metropolitan Area, 2016". Bureau of Economic Analysis. U.S. Department of Commerce. September 20, 2017. Retrieved February 19, 2018.
- 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 "Eurostat".
- 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 "Posição ocupada pelos maiores municípios brasileiros em relação ao Produto Interno Bruto, Est. 2013". IBGE. 2013.
- 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 "2005 est. / Metropolitan Area G" (PDF).
- 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 "National Bureau of Statistics of China". data.stats.gov.cn. Retrieved 2017-08-25.
- ↑ "北京市2017年国民经济和社会发展统计公报". bjstats.gov.cn. Retrieved 2018-03-18.
- ↑ 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.
- 1 2 3 4 Baden-Württemberg, Statistisches Landesamt. "Aktuelle Ergebnisse – VGR dL". www.statistik-bw.de (in German). Retrieved 2018-06-16.
- ↑ 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 2017-08-25.
- ↑ "Punjab At A Glance". Punjab Board of Investment & Trade, Government of The Punjab. 2016. Retrieved April 15, 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 2017-08-25.
- ↑ "Hong Kong". International Monetary Fund. Retrieved 2017-08-25.
- ↑ "2012 est. / CIA World Factbook: Hong Kong". CIA. Archived from the original on 14 May 2009. Retrieved 3 February 2013.
- ↑ https://www.lloyds.com/cityriskindex/locations/city/jerusalem
- ↑ https://osp.stat.gov.lt/statistiniu-rodikliu-analize?id=8,446&status=A#/
- ↑ http://www.gorstat.kiev.ua/p.php3?c=425&lang=1
- ↑ "Statistinių rodiklių analizė". Osp.stat.gov.lt. Retrieved 2017-04-01.
- ↑ "Lagos Gross Domestic Product" (PDF). Lagos State Government. 2010. Archived from the original (PDF) on 25 April 2015. Retrieved 16 March 2015.
- ↑ "Leicester" (PDF). Leicester and Leicestershire Enterprise Partnership. Autumn 2009. Archived from the original (PDF) on 13 August 2013.
/catid/22/ LLEP
- ↑ https://www.bea.gov/newsreleases/regional/gdp_metro/gdp_metro_newsrelease.htm
- ↑ 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 2017-08-25.
- ↑ "Pemerintah Provinsi Sumatera Utara – Perekonomian Daerah". Sumutprov.go.id. Retrieved 2017-04-01.
- ↑ 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%5Bpermanent+dead+link%5D
- ↑ "Global Cities of the Future". McKinsey. Retrieved 19 January 2016.
- 1 2 "Валовой региональный продукт::Мордовиястат". Mrd.gks.ru. Retrieved 2017-04-01.
- ↑ 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.
- ↑ https://www.bea.gov/newsreleases/regional/gdp_metro/gdp_metro_newsrelease.htm
- 1 2 "Bruttoinlandsprodukt in den Metropolregionen in Deutschland 2014 | Statistik". Statista (in German). Retrieved 2018-06-16.
- ↑ Approx., 2013 est. / GDP of Prefecture of Osaka and Hyōgo is 60.0 trillion yen (approximately US$584 billion). Cabinet Office, Government of Japan. Retrieved 14 August 2016.
- ↑ 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. / INSEE] €681 billion according to INSEE, i.e. US$850 billion at current exchange rates, using the 2016 euro/dollar exchange rate
- ↑ 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
- ↑ http://www.sus.lv/en/21-gross-domestic-product
- ↑ 2015 est. Statistics Korea Seoul metro area includes Incheon and Gyeonggi-do, so metro GDP = 328,661+69,501+350,963 = 749,125 billion Won, at 2015 average exchange rate of 1,179KRW per USD.
- 1 2 3 4 5 "Shanghai first Chinese city to top 3 trillion yuan GDP". China Daily. Retrieved 2018-01-20.
- ↑ "2008 est. / Global woes pinch rise in city GDP". ShanghaiDaily. 22 January 2009. Retrieved 25 December 2009.
- ↑ http://m.scmp.com/news/china/economy/article/2128310/shenzhen-88-cent-hi-tech-growth-roll-hit-y2tr-2017
- ↑ "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.
- 1 2 "Contacts – City of Stockholm". International.stockholm.se. Retrieved 2017-04-01.
- ↑ 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.
- ↑ http://issuu.com/eas-estonia/docs/wtoe_harjumk?e=1268773/4868082#222222
- ↑ http://geostat.ge/index.php?action=page&p_id=119&lang=eng
- ↑ Approx., 2011 est. / Eurostat. Archived 6 October 2014 at the Wayback Machine. Retrieved 11 May 2017.
- ↑ "National Bureau of Statistics of China". http://data.stats.gov.cn. Retrieved 2017-08-25. External link in
|website=
(help) - ↑ http://www.toukei.metro.tokyo.jp/tnenkan/tn-eindex.htm
- ↑ "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
- ↑ "Statistinių rodiklių analizė". Osp.stat.gov.lt. Retrieved 2017-04-01.
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