List of cities by GDP
This is a list of cities in the world by gross domestic product (GDP). The United Nations uses three definitions for what constitutes a city, as not all cities may be classified using the same criteria. Cities may be defined as the cities proper, the extent of their urban area, or their metropolitan regions.[3] The methodology of calculating GDP 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.
List[]
Each of the columns in the table is sortable by pressing on the arrows at the head of the column:
City proper / Metropolitan area |
Country/Region | UNSD sub‑region[4] |
GDP ($billions) | |
---|---|---|---|---|
Official est. up to date |
Brookings[5] 2014 est. PPP-adjusted | |||
Aachen-Liège-Maastricht | Germany Belgium Netherlands |
Western Europe | 99.7 | |
Abbotsford, British Columbia | Canada | North America | 5.313 (2016)[6] | |
Aberdeen | Scotland | Northern Europe | 16.986 (2013)[7] | |
Abidjan | Ivory Coast | Africa | 27 (2017)[8] | |
Abu Dhabi | United Arab Emirates | Western Asia | 119[9] | 178.3 |
Addis Ababa | Ethiopia | Africa | ||
Adelaide | Australia | Oceania | 64.461 (2018–19)[10] | 47.4 |
Ahmedabad | India | South Asia | 59.00 (2017) | 70.50[11] |
Akron | United States | North America | 36.800 (2018)[12] | 32.8 |
Albany | United States | North America | 59.657 (2018)[12] | 58.4 |
Albuquerque | United States | North America | 42.896 (2018)[12] | 39.9 |
Alexandria | Egypt | Africa | 32.4 | |
Algiers | Algeria | Africa | ||
Allentown | United States | North America | 45.024 (2018)[12] | 37.3 |
Almaty | Kazakhstan | Central Asia | 36 (2010)[13] | 53.1 |
Amsterdam-Rotterdam | Netherlands | Western Europe | 223.0 (2015)[14] | 320.6 |
Anápolis | Brazil | South America | 6.740 (2011)[15] | |
Ankara | Turkey | Western Asia | 104.9 | |
Anshan | China | East Asia | 67.4 | |
Arnhem-Nijmegen | Netherlands | Western Europe | 27.9 (2016)[14] | 44.4 |
Athens | Greece | Southern Europe | 93.7 (2015)[14] | 129.6 |
Atlanta | United States | North America | 371 (2018)[12] | 294.4 |
Auckland | New Zealand | Oceania | 79.662 (2020)[16] | 49.5 |
Austin | United States | North America | 106.784 (2018)[12] | 107.4 |
Bakersfield | United States | North America | 49.514 (2018)[12] | 47.87 |
Baghdad | Iraq | Western Asia | ||
Ballarat | Australia | Oceania | 4.460 (2018–19)[10] | |
Baltimore | United States | North America | 205.313 (2018)[12] | 173.7 |
Bandung | Indonesia | South-East Asia | 20.4 (2019)[17] | |
Batam | Indonesia | South-East Asia | 35.3 | |
Bangkok | Thailand | South-East Asia | 147.97 | 306.8 |
Baotou | China | East Asia | 40.8 (2017)[18] | 94.1 |
Barcelona | Spain | Southern Europe | 173.315 (2017)[14] | 171.0 |
Barrie | Canada | North America | 5.698 (2016)[19] | |
Basel-Mulhouse | Switzerland France |
Western Europe | 56.2 | |
Baton Rouge | United States | North America | 56.315 (2018)[12] | 53.5 |
Beijing | China | East Asia | 553.9 (2020)[20] | 506.1 |
Belfast | United Kingdom | Northern Europe | 25.5 (2015)[14] | |
Belgrade | Serbia | Southern Europe | 17.4 (2014)[21] | |
Belleville, Ontario | Canada | North America | 3.542 (2016)[22] | |
Belo Horizonte | Brazil | South America | 54.996 (2011)[15] | 84.7 |
Bendigo | Australia | Oceania | 3.961 (2018–19)[10] | |
Bengaluru | India | South Asia | 110 (2021)[23] | 110 |
Berlin | Germany | Western Europe | 171.99 (2018)[24] | 157.7 |
Bielefeld-Detmold | Germany | Western Europe | 50.5 | |
Bikaner | India | South Asia | [11] | |
Bilbao | Spain | Southern Europe | 36.9 (2015)[14] | 38.5 |
Birmingham | England | Northern Europe | 81.8 (2016)[14] | 121.1 |
Birmingham, Alabama | United States | North America | 62.881 (2018)[12] | 54.164 |
Bogotá | Colombia | South America | 159.9 | |
Bologna | Italy | Southern Europe | 40.6 (2017)[25] | 36.3 |
Bordeaux | France | Western Europe | 55.9 (2015)[14] | 40.2 |
Boston | United States | North America | 363.570 (2018)[12] | 360.1 |
Bhopal | India | South Asia | 21.7 (2021)[11] | |
Brantford | Canada | North America | 4.081 (2016)[26] | |
Brasília | Brazil | South America | 65.338 (2015)(8th) | 141.9 |
Braunschweig-Wolfsburg | Germany | Western Europe | 45.5 | |
Bremen | Germany | Western Europe | 30.4 (2015)[27] | 47.9 |
Bridgeport | United States | North America | 89.387 (2018)[12] | 70.0 |
Brisbane | Australia | Oceania | 177 (2018–19)[10] | 96.6 |
Bristol | England | Northern Europe | 26.9 (2017)[14] | 47.7 |
Brussels | Belgium | Western Europe | 99 (2019)[28] | 254.3 |
Bucharest | Romania | Southern Europe | 63.43 (2021)[29] | 72.4 |
Budapest | Hungary | Central Europe | 58.5 (2016)[14] | 98.0 |
Buenos Aires | Argentina | South America | 315.9 | |
Buffalo | United States | North America | 53 (2019)[30] | 72.7 |
Bursa | Turkey | Western Asia | 80.1 | |
Busan-Ulsan | South Korea | East Asia | 241 (2018)[31] | 296.5 |
Cairns | Australia | Oceania | 10.709 (2018–19)[10] | |
Cairo | Egypt | Africa | 102.2 | |
Calgary | Canada | North America | 77.847 (2016)[32] | 97.9 |
Cambridge | England | Northern Europe | ||
Campinas | Brazil | South America | 40.525 (2011)[15] | 59.3 |
Campo Grande | Brazil | South America | 9.59 (2013)[33] | |
Campos dos Goytacazes | Brazil | South America | 5.358 (2016)[34] | |
Canberra | Australia | Oceania | 30.909 (2018–19)[10] | |
Cape Town | South Africa | Africa | 58.9 | |
Caracas | Venezuela | South America | 70 (2012)[35] | 51.8 |
Cardiff-Newport | Wales | Northern Europe | 33.7 (2016)[14] | 36.0 |
Casablanca | Morocco | Africa | 37.9 | |
Chandigarh | India | South Asia | 17.30 (2017)[11] | 25.00 |
Changchun | China | East Asia | 96.7 (2017)[18] | 124.5 |
Changsha | China | East Asia | 189 (2020)[36] | 186.4 |
Changzhou | China | East Asia | 98.1 (2017)[18] | 110.9 |
Charlotte | United States | North America | 169.862 (2018)[12] | 126.2 |
Chengdu | China | East Asia | 273.8 (2020)[37] | 233.5 |
Chennai | India | South Asia | 58.6 | |
Coimbatore | India | South Asia | 42 (2021) | |
Chicago | United States | North America | 618.82 (2018)[12] | 563.2 |
Chittagong | Bangladesh | South Asia | 67 (2020) | 32(2020) |
Chongqing | China | East Asia | 362 (2020)[38] | 315.6 |
Cincinnati | United States | North America | 141.052 (2018)[12] | 110.9 |
Cleveland | United States | North America | 135 (2019)[39] | 115.1 |
Columbia | United States | North America | 43.118 (2018)[12] | 37.2 |
Columbus | United States | North America | 134 (2019)[40] | 108.9 |
Copenhagen | Denmark | Northern Europe | 134.4 (2017)[41] | 127.0[Note 1] |
Cork | Ireland | Northern Europe |
24.0 (2015) |
|
Coventry | England | Northern Europe | 7.4 (2008)[42] | |
Curitiba | Brazil | South America | 58.082 (2011)[15] | 57.7 |
Daegu | South Korea | East Asia | 56.9 (2018)[12] | 54.5 |
Daejeon | South Korea | East Asia | 39.6 (2018)[12] | 39.6 |
Dalian | China | East Asia | 109.1 (2017)[18] | 198.8 |
Dallas–Fort Worth | United States | North America | 472.33 (2020)[43] | 412.7 |
Daqing | China | East Asia | 39.7 (2017)[18] | 98.5 |
Dayton | United States | North America | 43.254 (2018)[12] | 37.5 |
Dar es Salaam | Tanzania | Africa | ||
Delhi | India | South Asia | 210 (2021) | 293.6 |
Denver | United States | North America | 214.157 (2017)[12] | 169.7 |
Des Moines | United States | North America | 50.339 (2018)[12] | 39.5 |
Detroit | United States | North America | 267.731 (2018)[12] | 207.5 |
Dhaka | Bangladesh | South Asia | 155 (2020) | 62 |
Doha | Qatar | Western Asia | ||
Dongguan | China | East Asia | 112.3 (2017)[18] | 141.1 |
Dongying | China | East Asia | 61.89 (2018)[18] | 83.7 |
Dubai | United Arab Emirates | Western Asia | 102.67 (2018)[44] | 82.87 |
Dublin | Ireland | Northern Europe | 118.72 (2019)[45] | 90.1 |
Durban | South Africa | Africa | 48.9 | |
Durham | United States | North America | 54.687 (2018)[12] | 37.0 |
East Rand | South Africa | Africa | 55.3 | |
Edinburgh | Scotland | Northern Europe | 41.8 (2016)[14] | 32.5 |
Edmonton | Canada | North America | 66.836 (2016)[46] | 83.0 |
Eindhoven-Den Bosch | Netherlands | Western Europe | 91.5 | |
El Paso | United States | North America | 32.570 (2018)[12] | 32.7 |
Faisalabad | Pakistan | South Asia | 10.2 | 20.55[47] |
Florence | Italy | Southern Europe | 40.1 (2015)[14] | 52.5 |
Fortaleza | Brazil | South America | 21.7 (2012)[48] | 35.2 |
Foshan | China | East Asia | 141.4 (2017)[18] | 184.5 |
Frankfurt | Germany | Western Europe | 230.0 | |
Fresno | United States | North America | 47.408 (2018)[12] | 45.5 |
Fukuoka–Kitakyushu | Japan | East Asia | 185 (2013)[49] | 193.3 |
Fuzhou | China | East Asia | 118.683 (2018)[50] | 117.4 |
Geelong | Australia | Oceania | 8.725 (2018–19)[10] | |
Geneva | Switzerland | Western Europe | 44.0 | |
George Town | Malaysia | South-East Asia | 22.25 | 38.0 |
Gladstone | Australia | Oceania | 4.464 (2018–19)[10] | |
Glasgow | Scotland | Northern Europe | 66.4 (2016)[14] | 56.7 |
Gothenburg | Sweden | Northern Europe | 84.4 (2016)[14] | 40.0 |
Ghaziabad | India | South Asia | [11] | |
Gold Coast | Australia | Oceania | 26.669 (2018–19)[10] | |
Grand Rapids | United States | North America | 61.615 (2018)[12] | 51.56 |
Greensboro | United States | North America | 43.154 (2018)[12] | 40.9 |
Greenville | United States | North America | 46.431 (2018)[12] | 35.6 |
Goiânia | Brazil | South America | 22.763 (2011)[15] | |
Guadalajara | Mexico | North America | 80.7 | |
Guangzhou | China | East Asia | 385 (2020)[51] | 380.3 |
Guelph | Canada | North America | 7.315 (2016)[52] | |
Gujranwala | Pakistan | South Asia | 21 (2017)[18] | 20.3 |
Gurgaon | India | South Asia | [11] | |
Guwahati | India | South Asia | [11] | |
Gwangju | South Korea | East Asia | 36.8 (2018)[12] | 36.7 |
Gwalior | India | South Asia | [11] | |
Haifa | Israel |
Western Asia | 40.4 | |
Halifax, Nova Scotia | Canada | North America | 15.862 (2016)[53] | |
Hamamatsu | Japan | East Asia | 54.3 (2010)[54][55] | 52.3 |
Hamburg | Germany | Western Europe | 138.04 (2018)[56] | 161.4 |
Hangzhou | China | East Asia | 204.15 (2018)[57] | 219.5 |
Hannover | Germany | Western Europe | 51.5 (2015)[27] | 59.6 |
Hanoi | Vietnam | South-East Asia | 49.19 | |
Harbin | China | East Asia | 94.1 (2017)[18] | 127.9 |
Harrisburg | United States | North America | 39.896 (2018)[12] | 35.1 |
Hartford | United States | North America | 99.465 (2018)[12] | 101.2 |
Hefei | China | East Asia | 141.135 (2019)[18] | 120.9 |
Helsinki | Finland | Northern Europe | 90.8 (2015)[14] | 77.1 |
Hiroshima | Japan | East Asia | 61.3 (2010)[58][59] | 74.9 |
Hobart | Australia | Oceania | 11.388 (2018–19)[10] | |
Ho Chi Minh City | Vietnam | South-East Asia | 83.16 | 71.1 |
Hong Kong | Hong Kong | East Asia | 341.319 (2020)[60] | 416.0 |
Honolulu | United States | North America | 69.252 (2018)[12] | 58.6 |
Houston | United States | North America | 478.778 (2018)[12] | 483.2 |
Hsinchu | Taiwan | East Asia | 38.4 | |
Huhehaote | China | East Asia | 49.62 (2015)[61] | 70.1 |
Huntsville | United States | North America | 27.558 (2018)[12] | |
Hyderabad | India | South Asia | 83.5 (2019) | 75.2[11] |
Indianapolis | United States | North America | 140.762 (2018)[12] | 113.606 |
Indore | India | South Asia | 26.5 (2021)[62] | [11] |
Islamabad | Pakistan | South Asia | 18.7 | |
Istanbul | Turkey | Eastern Europe and Western Asia | 237 (2019)[63] | 348.7 |
Izmir | Turkey | Western Asia | 80.1 | |
Jacksonville | United States | North America | 83.186 (2018)[12] | 63.8 |
Jakarta | Indonesia | South-East Asia | 200.9[64] | 321.3 |
Jammu | India | South Asia | [11] | |
Jaipur | India | South Asia | [11] | |
Jeddah | Saudi Arabia | Western Asia | 160.6 | |
Jerusalem | Israel | Western Asia | 48.0 (2015)[65] | |
Jinan | China | East Asia | 132.933 (2018)[18] | 136.8 |
Jodhpur | India | South Asia | [11] | |
Johannesburg | South Africa | Africa | 76 (2014)[66] | 82.9 |
Jundiaí | Brazil | South America | 20.081 (2011)[15] | |
Kabul | Afghanistan | South Asia | 6 | |
Kagoshima | Japan | East Asia | 34.3 | |
Kano | Nigeria | Africa | ||
Kansas City | United States | North America | 132.703 (2018)[12] | 105.9 |
Kaohsiung | Taiwan | East Asia | 113.647 | |
Karachi | Pakistan | South Asia | 164 (2019)[67] | |
Karlsruhe | Germany | Western Europe | 37.6 (2015)[14] | 137.1 |
Katowice | Poland | Central Europe | 37.9 (2015)[14] | 122.3 |
Kaunas | Lithuania | Northern Europe | 10.0 (2016)[68] | |
Kelowna | Canada | North America | 7.007 (2016)[69] | |
Khartoum | Sudan | Africa | ||
Kyiv | Ukraine | Eastern Europe | 36.5 (2019)[70] | |
Kingston, Ontario | Canada | North America | 6.699 (2016)[71] | |
Kingston-upon-Hull | England | Northern Europe | 17.7 (2016)[14] | |
Kinshasa | DR Congo | Africa | ||
Kitchener, Ontario | Canada | North America | 21.175 (2016)[72] | |
Klaipėda | Lithuania | Northern Europe | 6.0 (2016)[73] | |
Knoxville | United States | North America | 43.307 (2018)[12] | 38.3 |
Kolkata | India | South Asia | 60.45[11] | |
Krakow | Poland | Central Europe | 22.0 (2015)[14] | 33.1 |
Kuala Lumpur | Malaysia | South-East Asia | 59.831 (2019)[50] | 171.8 |
Kumamoto | Japan | East Asia | 39.8 (2010)[74][75] | 41.8 |
Kunming | China | East Asia | 72.0 (2017)[18] | 88.6 |
Kuwait City | Kuwait | Western Asia | 166.5 | |
Lagos | Nigeria | Africa | 74.67 (2010)[76] | |
Lahore | Pakistan | South Asia | 58.14 (2015)[77][78] | |
Launceston | Australia | Oceania | 3.961 (2018–19)[10] | |
Las Vegas | United States | North America | 122.423 (2018)[12] | 93.9 |
Leeds | England | Northern Europe | 44.8 (2016)[14] | 74.6[Note 2] |
Leicester | England | Northern Europe | 46.8 (2016)[14] | |
Leipzig-Halle | Germany | Western Europe | 33.4 (2015)[14] | 39.6 |
Lethbridge | Canada | North America | 4.697 (2016)[79] | |
Lille | France | Western Europe | 83.3 (2015)[14] | 98.5 |
Lima | Peru | South America | 176.5 | |
Linz | Austria | Central Europe | 37.9 (2015)[14] | 44.55 |
Lisbon | Portugal | Southern Europe | 72.0 (2015)[14] | 96.3 |
Little Rock | United States | North America | 38.252 (2018)[12] | 40.7 |
Liverpool | England | Northern Europe | 47.8 (2016)[14] | 65.8 |
London | England | Northern Europe | 937.2 (2018)[14] | 835.7 |
London, Ontario | Canada | North America | 18.48 (2016)[80] | |
Los Angeles | United States | North America | 1,048 (2018)[81][82][83] | 860.5 |
Louisville | United States | North America | 72.093 (2018)[12] | 62.4 |
Luanda | Angola | Africa | ||
Lucknow | India | South Asia | 39.1 | |
Ludhiana | India | South Asia | [11] | |
Luxembourg City-Trier | Luxembourg Germany |
Western Europe | 69.453 (2019)[84] | 62.46 |
Luton | England | Northern Europe | ||
Lyon | France | Western Europe | 88.2 (2016)[14] | 97.0 |
Macau | Macau | East Asia | 26 (2020)[85] | 53.9 |
Mackay | Australia | Oceania | 6.540 (2018–19)[10] | |
Madison | United States | North America | 51.481 (2018)[12] | 41.8 |
Madrid | Spain | Southern Europe | 290.56 (2020)[14] | 262.5 |
Makassar | Indonesia | South-East Asia | 37.7 | |
Manaus | Brazil | South America | 30.375 (2014)[86] | |
Manchester | England | Northern Europe | 113.7 (2016)[14] | 92.3 |
Manila | Philippines | South-East Asia | 192.6 (2018) | 182.6 |
Marseille | France | Western Europe | 104.1 (2015)[14] | 60.3 |
Medellín | Colombia | South America | 43.5 | |
Medan | Indonesia | South-East Asia | 52.4 (2019)[87] | |
Melbourne | Australia | Oceania | 279.333 (2018–19)[10] | 178.4 |
Memphis | United States | North America | 76.749 (2018)[12] | 65.0 |
Mexico City | Mexico | North America | 266 (2019)[88] | 403.6 |
Miami | United States | North America | 288 (2019)[89][90] | 262.7 |
Milan | Italy | Southern Europe | 304.5 (2017) | 312.1 |
Milwaukee | United States | North America | 103.731 (2018)[12] | 86.5 |
Minneapolis/St. Paul | United States | North America | 263.690 (2018)[12] | 211.4 |
Minsk | Belarus | Eastern Europe | 14 (2019)[91] | |
Moncton | Canada | North America | 5.313 (2016)[92] | |
Monterrey | Mexico | North America | 122.9 | |
Montevideo | Uruguay | South America | 49.7 (2020)[93] | |
Montreal | Canada | North America | 156.74 (2016)[94] | 155.9 |
Moscow | Russia | Eastern Europe | 604 (2019)[95] | 553.3 |
Multan | Pakistan | South Asia | 17.425 (2016) | 24.15 |
Mumbai | India | South Asia | (2017) | 150.8[11] |
Munich | Germany | Western Europe | 190.0 (2016)[14] | 219.9 |
Nagoya | Japan | East Asia | 368 (2013)[96] | 363.8 |
Nagpur | India | South Asia | 33 (2021)[97] | [11] |
Nairobi | Kenya | Africa | 14.8 (2019)[98] | |
Nanchang | China | East Asia | 74.1 (2017)[18] | 96.0 |
Nanjing | China | East Asia | 214.7 (2020) | 202.7 |
Nanning | China | East Asia | 61.0 (2017)[18] | 70.3 |
Nantes | France | Western Europe | 51.0 (2016)[14] | 32.0 |
Nantong | China | East Asia | 126.405 (2018)[18] | 128.3 |
Naples | Italy | Southern Europe | 62.8 (2015)[14] | 85.5 |
Nashville | United States | North America | 132.202 (2018)[12] | 95.0 |
New Haven | United States | North America | 53.613 (2018)[12] | 53.3 |
New Orleans | United States | North America | 80.287 (2018)[12] | 74.2 |
New York | United States | North America | 1,732 (2019)[99] | 1,403 |
Newcastle | Australia | Oceania | 11.554 (2018–19)[10] | |
Newcastle | England | Northern Europe | 36.0 (2016)[14] | 44.6 |
Nice | France | Western Europe | 36.0 (2016)[14] | 45.98 |
Amiens | France | Western Europe | 36.1 (2015)[14] | |
Niigata | Japan | East Asia | 43.3 (2010)[100][101] | 50.3 |
Ningbo | China | East Asia | 191.68 (2020)[102] | 179.0 |
Noida | India | South Asia | [11] | |
Nottingham-Derby | England | Northern Europe | 51.0 | |
Nürnberg-Fürth | Germany | Western Europe | 164.6 (2014)[103] | 74.5 |
Okayama | Japan | East Asia | 63.1 (2010)[104][105] | 56.8 |
Oklahoma City | United States | North America | 81.016 (2018)[12] | 70.010 |
Omaha | United States | North America | 62.760 (2018)[12] | 51.2 |
Orange | Australia | Oceania | 3.204 (2018–19)[10] | |
Orlando | United States | North America | 138.947 (2018)[12] | 116.2 |
Osaka–Kobe | Japan | East Asia | 781 (2015) | 671.3[Note 3] |
Oshawa | Canada | North America | 9.702 (2016)[106] | |
Oslo | Norway | Northern Europ7 | 71.68 (2016)[107] | 74.4 |
Ottawa | Canada | North America | 58.982 (2016)[108] | 58.2 |
Oxnard | United States | North America | 59.631 (2018)[12] | 46.3 |
Palembang | Indonesia | South-East Asia | 33.5 | |
Paris | France | Western Europe | 866 (2018) | 715.1 |
Patna | India | South Asia | 27 (2021)[109] | [11] |
Perth | Australia | Oceania | 111.056 (2018–19)[10] | 134.0 |
Peterborough, Ontario | Canada | North America | 3.696 (2016)[110] | |
Philadelphia | United States | North America | 388 (2018)[12] | 346.5 |
Phoenix | United States | North America | 255.211 (2018)[12] | 207.1 |
Pittsburgh | United States | North America | 152.840 (2018)[12] | 138.4 |
Portland | United States | North America | 164.419 (2018)[12] | 158.5 |
Porto | Portugal | Southern Europe | 31.3 (2015)[14] | 43.0 |
Porto Alegre | Brazil | South America | 45.506 (2011)[15] | 62.1 |
Portsmouth-Southampton | England | Northern Europe | 35.5 (2016)[14] | 51.6 |
Prague | Czech Republic | Central Europe | 64 (2018)[111] | 89.2 |
Pretoria | South Africa | Africa | 49.9 | |
Providence | United States | North America | 87.414 (2018)[12] | 78.114 |
Puebla | Mexico | North America | 31.102 (2019)[112] | 38.1 |
Pune | India | South Asia | 69[11] | |
Pyongyang | North Korea | East Asia | ||
Qingdao | China | East Asia | 163.5 (2017)[18] | 208.7 |
Quebec City | Canada | North America | 32.956 (2016)[113] | 33.4 |
Raleigh | United States | North America | 83.665 (2018)[12] | 64.4 |
Rangoon | Myanmar | South-East Asia | ||
Recife | Brazil | South America | 22.81 (2014)[114] | 40.5 |
Regina, Saskatchewan | Canada | North America | 12.936 (2016)[115] | |
Rhine-Ruhr | Germany | Western Europe | 350.30 (2014)[103] | 485.2 |
Richmond | United States | North America | 85.792 (2018)[12] | 71.589 |
Riga | Latvia | Northern Europe | 20.0 (2018)[116] | |
Rio de Janeiro | Brazil | South America | 209.366 (2011)[15] | 176.6 |
Riverside–San Bernardino | United States | North America | 187.109 (2018)[12] | 154.904 |
Riyadh | Saudi Arabia | Western Asia | 163.5 | |
Rochester | United States | North America | 63.870 (2018)[12] | 67.8 |
Rockhampton | Australia | Oceania | 5.342 (2018–19)[10] | |
Rome | Italy | Southern Europe | 166.8 (2015)[14] | 163.2 |
Saarbrücken | Germany | Western Europe | 41.7 | |
Sacramento | United States | North America | 145.479 (2018)[12] | 127.4 |
Salt Lake City | United States | North America | 74.306 (2018)[12] | 73.836 |
St. Catharines–Niagara Falls | Canada | North America | 11.704 (2016)[117] | |
Saint John, New Brunswick | Canada | North America | 4.928 (2016)[118] | |
St. John's, Newfoundland and Labrador | Canada | North America | 10.164 (2016)[119] | |
St. Louis | United States | North America | 169.839 (2018)[12] | 140.6 |
Saint Petersburg | Russia | Northern Europe | 179 (2019)[95] | 119.6 |
Salvador | Brazil | South America | 17.98 (2016)[120][121] | 38.5 |
San Antonio | United States | North America | 133.633 (2018)[12] | 102.771 |
San Diego | United States | North America | 245.138 (2018)[12] | 202.5 |
San Francisco | United States | North America | 178 (2019)[122] | 331.0 |
San Jose | United States | North America | 331.020 (2018)[12] | 160.3 |
San Juan | Puerto Rico | Caribbean | 42.7 | |
Santiago | Chile | South America | 171.4 | |
Santos | Brazil | South America | 28.609 (2011)[15] | |
São José dos Campos | Brazil | South America | 30.148 (2011)[15] | |
São José dos Pinhais | Brazil | South America | 14.726 (2011)[15] | |
São Paulo | Brazil | South America | 408.938 (2013)[15][123] | 430.5 |
Sapporo | Japan | East Asia | 84.7 (2010)[124][125] | 80.5 |
Saskatoon | Canada | North America | 14.63 (2016)[126] | |
Seattle | United States | North America | 382.63 (2018)[12] | 267.5 |
Semarang | Indonesia | South-East Asia | 41.1 | |
Sendai | Japan | East Asia | 61.7 (2010)[127][128] | 75.3 |
Seoul | South Korea | East Asia | 915 (2019)[129] | 845.9 |
Seville | Spain | Southern Europe | 44.665 (2018)[14] | 35.8 |
Shanghai | China | East Asia | 608 (2020)[130] | 594 |
Shantou | China | East Asia | 34.8 (2017)[131] | 38.7 |
Sheffield | England | Northern Europe | 17.4 (2016)[14] | 39.8 |
Shenyang | China | East Asia | 93.9 (2019)[132] | 189.3 |
Shenzhen | China | East Asia | 401 (2020) | 363.2 |
Sherbrooke | Canada | North America | 6.16 (2016)[133] | |
Shijiazhuang | China | East Asia | 81.252 (2018)[131] | 130.5 |
Sunshine Coast | Australia | Oceania | 13.813 (2018–19)[10] | |
Surat | India | South Asia | 40 (2016)[134] | |
Shimla | India | South Asia | [11] | |
Shizuoka | Japan | East Asia | 45.8 (2010)[135][136] | 58.42 |
Singapore | Singapore | South-East Asia | 374.394 (2021)[137] | 365.9 |
Sofia | Bulgaria | Southern Europe | 22.4 (2018)[138][139] | 43.8 |
Sorocaba | Brazil | South America | 21.313 (2011)[15] | |
Springfield | United States | North America | 34.706 (2018)[12] | 32.8 |
Stockholm | Sweden | Northern Europe | 170 (2018)[140] | 143.0 |
Strasbourg | France | Western Europe | 37.3 | |
Stuttgart | Germany | Western Europe | 173.5 (2016)[14] | 157.8 |
Greater Sudbury | Canada | North America | 6.93 (2016)[141] | |
Surabaya | Indonesia | South-East Asia | 41.1 (2019)[142] | |
Suzhou | China | East Asia | 280.92 (2018)[18] | 339.0 |
Sydney | Australia | Oceania | 348.895 (2018–19)[10] | 223.4 |
Syracuse | United States | North America | 41.356 (2018)[12] | 40.6 |
Taichung | Taiwan | East Asia | 114.7 | |
Tainan | Taiwan | East Asia | 76.7 | |
Taipei | Taiwan | East Asia | 327.3 (2014) | 327.3 |
Taiyuan | China | East Asia | 50.733 (2017) | 63.0 |
Tallinn | Estonia | Northern Europe | 20 (2018)[143] | |
Tampa | United States | North America | 159.002 (2018)[12] | 130.3 |
Tangerang | Indonesia | South-East Asia | 38.6 | |
Tangshan | China | East Asia | 96.716 (2018)[131] | 162.3 |
Taoyuan | Taiwan | East Asia | 86.8 | |
Tbilisi | Georgia | Eastern Europe | 8.0 (2017)[144] | |
Tehran | Iran | South Asia | ||
Tel Aviv | Israel |
Western Asia | 153.3[145] | 153.3 |
Thessaloniki | Greece | Southern Europe | 19.8 (2011)[146] | |
Thunder Bay | Canada | North America | 4.62 (2016)[147] | |
Tianjin | China | East Asia | 204 (2020)[20] | 372.0 |
Tokyo | Japan | East Asia | 1,790 (2019)[148] | 1,616 |
Toowoomba | Australia | Oceania | 7.118 (2018–19)[10] | |
Toronto | Canada | North America | 305 (2017)[149] | 276.3 |
Toulouse | France | Western Europe | 58.7 (2015)[14] | 47.4 |
Trois-Rivières | Canada | North America | 4.851 (2016)[150] | |
Tucson | United States | North America | 44.876 (2018)[12] | 41.2 |
Tulsa | United States | North America | 57.232 (2018)[12] | 48.6 |
Turin | Italy | Southern Europe | 76.9 (2015)[14] | 78.8 |
Townsville | Australia | Oceania | 9.075 (2018–19)[10] | |
Uberlandia | Brazil | South America | 14.728 (2011)[15] | |
Udaipur | India | South Asia | [11] | |
Ulsan | South Korea | East Asia | 67.9 (2017)[12] | |
Valencia | Spain | Southern Europe | 60.274 (2016)[14] | 52.7 |
Vancouver | Canada | North America | 137 (2017)[151] | 109.8 |
Venice-Padua | Italy | Southern Europe | 62.2 (2015)[14] | 57.3 |
Victoria, British Columbia | Canada | North America | 15.169 (2016)[152] | |
Vienna | Austria | Central Europe | 112 (2019)[153] | 183.7[Note 4] |
Vilnius | Lithuania | Northern Europe | 23.0 (2019)[73] | |
Virginia Beach | United States | North America | 100.976 (2018)[12] | 92.1 |
Vitória | Brazil | South America | 28.357 (2011)[15] | 35.63 |
Wagga Wagga | Australia | Oceania | 4.392 (2018–19)[10] | |
Warsaw | Poland | Central Europe | 105 (2019)[154] | 141.1 |
Washington, D.C. | United States | North America | 540.684 (2018)[12] | 442.2 |
Wenzhou | China | East Asia | 90.63 (2018)[155] | 101.9 |
Wichita | United States | North America | 32.832 (2018)[156] | |
Windsor, Ontario | Canada | North America | 3.542 (2016)[157] | |
Winnipeg | Canada | North America | 32.5 | |
Wollongong | Australia | Oceania | 5.624 (2018–19)[10] | |
Worcester | United States | North America | 50.934 (2018)[12] | 44.7 |
Wuhan | China | East Asia | 240 (2020)(8th) | 231.6 |
Wulumuqi | China | East Asia | 49.4 (2019)[158] | 59.6 |
Wuxi | China | East Asia | 155.7 (2017)[18] | 211.5 |
Xiamen | China | East Asia | 92.554 (2020)[18] | 76.1 |
Xian | China | East Asia | 154.2 (2020)[18] | 124.2 |
Xuzhou | China | East Asia | 97.8 (2017)[18] | 113.2 |
Yantai | China | East Asia | 108.7 (2017)[18] | 149.0 |
Yerevan | Armenia | Eastern Europe | 5.23 (2018)[159] | 5.23 |
Zhengzhou | China | East Asia | 144 (2018)[18] | 156.0 |
Zhongshan | China | East Asia | 51.1 (2017)[18] | 68.7 |
Zhuhai | China | East Asia | 38.0 (2017)[18] | 41.3 |
Zibo | China | East Asia | 70.8 (2017)[18] | 100.3 |
Zürich | Switzerland | Western Europe | 109.1 |
- Notes
See also[]
- List of cities by total wealth
- List of cheapest cities
- Lists 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[]
- ^ "Metropolitan Areas". OECD.Stat. Archived from the original on 12 April 2019.
- ^ Organisation for Economic Co-operation and Development (1 January 1955). "GDP Implicit Price Deflator in United States". FRED, Federal Reserve Bank of St. Louis. Archived from the original on 26 November 2019. Retrieved 25 April 2020.
- ^ "SOWC-2012-DEFINITIONS". UNICEF. Archived from the original on 8 December 2013. Retrieved 29 January 2014.
- ^ "Composition of macro geographical (continental) regions, geographical sub-regions, and selected economic and other groupings". United Nations. Archived from the original on 13 July 2011. Retrieved 23 October 2012.
- ^ "Global city GDP 2014". Brookings Institution. Archived from the original on 25 May 2017. Retrieved 8 May 2015.
- ^ "Table 36-10-0468-01 Gross domestic product (GDP) at basic prices, by census metropolitan area (CMA) (x 1,000,000)". Statistics Canada. Archived from the original on 22 January 2021. Retrieved 27 April 2021.
- ^ "Invest Aberdeen Facts & Figures". Aberdeen Invest Live Visit. Archived from the original on 14 October 2013. Retrieved 21 September 2013.
- ^ "Which Cities Hold Africa's Wealth". Visual Capitalist. Retrieved 28 September 2018.
- ^ "Abu Dhabi Economic Report" (PDF). Archived from the original (PDF) on 4 March 2016. Retrieved 15 May 2015.
- ^ Jump up to: a b c d e f g h i j k l m n o p q r s t u v w 2018-19 est. / SGSEP AUD according to the SGS Economics and Planning tables 1 & 4 (page 10 & 64), Major Cities: Sydney 461.440B, Melbourne 369.439B Brisbane 177.006B Perth 146.880B Adelaide 85.254B Canberra 40.879B Regional Cities: Gold Coast 35.272B Sunshine Coast 18.269B Newcastle 15.281B Hobart 15.062B Cairns 14.164B Townsville 12.003B Geelong 11.540B Toowoomba 9.414B Mackay 8.649B Wollongong 7.438B Rockhampton 7.065B Gladstone 5.904B Ballarat 5.899B Wagga Wagga 5.809B Launceston 5.239B Bendigo 5.239B Orange 4.238B Converted with current exchange rates, using the 11/12/2020 AUD/USD exchange rate used by the IMF 0.7560996952. ie. Sydney AUD461.440B = USD 348.895B
- ^ Jump up to: a b c d e f g h i j k l m n o p q r s t u v Haritas, Bhragu. "Richest Cities Of India". BW Businessworld. Archived from the original on 2 March 2020. Retrieved 19 April 2020.
- ^ Jump up to: 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 "GDP by County, Metro, and Other Areas". Suitland, Maryland: Bureau of Economic Analysis. 12 December 2019. Archived from the original on 12 December 2019. Retrieved 15 December 2019.
- ^ "President: Almaty turns into large regional investment attractive centre". inform.kz. Archived from the original on 30 October 2019. Retrieved 31 October 2019.
- ^ Jump up to: 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 "Eurostat". Archived from the original on 19 June 2018. Retrieved 19 June 2018.
- ^ Jump up to: a b c d e f g h i j k l m n o "Posição ocupada pelos maiores municípios brasileiros em relação ao Produto Interno Bruto, Est. 2013". IBGE. 2013. Archived from the original on 19 February 2016.
- ^ "Regional gross domestic product: Year ended March 2020". Stats NZ. Retrieved 21 July 2021.
- ^ https://jabar.bps.go.id/dynamictable/2020/05/20/485/pdrb-atas-dasar-harga-berlaku-menurut-kabupaten-kota-2019.html
- ^ Jump up to: 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 "National Bureau of Statistics of China". data.stats.gov.cn. Archived from the original on 13 September 2017. Retrieved 25 August 2017.
- ^ "Table 36-10-0468-01 Gross domestic product (GDP) at basic prices, by census metropolitan area (CMA) (x 1,000,000)". Statistics Canada. Archived from the original on 22 January 2021. Retrieved 27 April 2021.
- ^ Jump up to: a b GDP-2019 is a preliminary data, and GDP-2018 is a revision based on the 2018 CASEN: "Home - Regional - Quarterly by Province" (Press release). China NBS. 15 April 2020. Retrieved 15 April 2020.
- ^ Statistical Yearbook of Serbia Archived 13 October 2017 at the Wayback Machine, 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.
- ^ "Table 36-10-0468-01 Gross domestic product (GDP) at basic prices, by census metropolitan area (CMA) (x 1,000,000)". Statistics Canada. Archived from the original on 22 January 2021. Retrieved 27 April 2021.
- ^ "Top 15 Richest Cities in India 2021 Based on GDP - Sweet Sharing". 15 June 2021. Retrieved 4 July 2021.
- ^ "Amt für Statistik Berlin Brandenburg – Statistiken". Amt für Statistik Berlin-Brandenburg (in German). Retrieved 2 May 2019.
- ^ "Dossier on the Metropolitan City of Bologna" (PDF). Istat. Retrieved 4 November 2017.
- ^ "Table 36-10-0468-01 Gross domestic product (GDP) at basic prices, by census metropolitan area (CMA) (x 1,000,000)". Statistics Canada. Archived from the original on 22 January 2021. Retrieved 27 April 2021.
- ^ Jump up to: a b Baden-Württemberg, Statistisches Landesamt. "Aktuelle Ergebnisse – VGR dL". www.statistik-bw.de (in German). Archived from the original on 13 February 2019. Retrieved 16 June 2018.
- ^ "Regional GDP per capita ranged from 31% to 626% of the EU average in 2017" (Press release). Eurostat. 28 February 2018.
- ^ "1.1 Valoarea produsului intern brut pe judeţe şi regiuni" (PDF). CNP.ro. Retrieved 29 June 2021.
- ^ "GDP by County, Metro, and Other Areas". Bureau of Economic Analysis. Archived from the original on 15 January 2021. Retrieved 5 May 2021.
- ^ "보도자료 전체 | 통계청". kostat.go.kr. Retrieved 14 August 2020.
- ^ "Table 36-10-0468-01 Gross domestic product (GDP) at basic prices, by census metropolitan area (CMA) (x 1,000,000)". Statistics Canada. 27 January 2017. Archived from the original on 22 January 2021. Retrieved 27 April 2021.
- ^ GDP (in Portuguese). Campo Grande, Brazil: IBGE. 2013. Archived from the original on 12 May 2016. Retrieved 7 January 2016.
- ^ per capita income (PDF) (in Portuguese). Campos, Brazil: IBGE. 2005. ISBN 85-240-3919-1. Archived from the original (PDF) on 2 October 2008. Retrieved 18 July 2007.
- ^ "The Online Journal of McKinsey & Company". McKinsey Quarterly. Archived from the original on 14 July 2012. Retrieved 12 March 2013.
- ^ "Statistical Communiqué of Changsha City on the 2020 National Economic and Social Development" Bureau of Statistics of Changsha. April 9th, 2021.
- ^ Lai, Fangjie (赖芳杰). 2018年成都市实现地区生产总值15342.77亿元 比上年增长8.0%. Baijiahao Baidu News. Archived from the original on 28 January 2019. Retrieved 28 January 2019.
- ^ GDP-2020 is a preliminary data "Home - Regional - Quarterly by Province" (Press release). China NBS. 1 March 2021. Retrieved 30 June 2021.
- ^ "GDP by County, Metro, and Other Areas". U.S. Bureau of Economic Analysis (BEA). Retrieved 3 January 2021.
- ^ [1]
- ^ "Regional GDP per capita in the EU in 2010" (PDF). Eurostat. 21 March 2013. Archived from the original (PDF) on 3 April 2013. Retrieved 14 April 2016.
- ^ "2008 estimate" (xls). Office for National Statistics. 6 March 2012. Archived from the original on 21 October 2012. Retrieved 13 August 2013.
- ^ Burns, David W. (27 September 2019). "September 2019 U.S. Metro Economies Report". United States Conference of Mayors. Retrieved 26 December 2019.
- ^ "Gross Domestic Product (GDP) of the Emirate of Dubai 2006–2008". Dubai Statistics Centre. Archived from the original on 20 May 2010. Retrieved 5 May 2010.
- ^ "Database – Eurostat". European Commission. Archived from the original on 30 July 2020. Retrieved 26 August 2019.
- ^ "Table 36-10-0468-01 Gross domestic product (GDP) at basic prices, by census metropolitan area (CMA) (x 1,000,000)". Statistics Canada. Archived from the original on 22 January 2021. Retrieved 27 April 2021.
- ^ "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.
- ^ "Posição ocupada pelos 100 maiores municípios, em relação ao Produto Interno Bruto" (PDF). IBGE. 2012. Retrieved 9 May 2017.
- ^ 県民経済計算平成22年度(2013年5月29日) ※2014年2月3日横浜市の計数を一部訂正した。 [Prefectural Accounts 2010 (May 29, 2013) * February 3, 2014 Partially revised the figures for Yokohama City.] (in Japanese). Cabinet Office, Government of Japan. Archived from the original on 17 October 2017. Retrieved 14 August 2016.
- ^ Jump up to: a b "Department of Statistics Malaysia Official Portal". www.dosm.gov.my. Retrieved 30 September 2020.
- ^ 深圳GDP超广州,不过广州也不用慌 [The 2016 Guangzhou Municipal National Economic and Social Development Statistics Bulletin] (in Chinese). Baijiahao.baidu.com. 15 January 2018. Archived from the original on 5 February 2018. Retrieved 11 November 2017.
- ^ "Table 36-10-0468-01 Gross domestic product (GDP) at basic prices, by census metropolitan area (CMA) (x 1,000,000)". Statistics Canada. Archived from the original on 22 January 2021. Retrieved 27 April 2021.
- ^ "Table 36-10-0468-01 Gross domestic product (GDP) at basic prices, by census metropolitan area (CMA) (x 1,000,000)". Statistics Canada. Archived from the original on 22 January 2021. Retrieved 27 April 2021.
- ^ Yoshitsugu Kanemoto. "Metropolitan Employment Area (MEA) Data". Center for Spatial Information Science, The University of Tokyo.
- ^ Conversion rates – Exchange rates – OECD Data
- ^ "Regional GDP per capita ranged from 30% to 263% of the EU average in 2018". Eurostat.
- ^ "National Bureau of Statistics of China". data.stats.gov.cn. Archived from the original on 13 September 2017. Retrieved 25 August 2017.
- ^ Yoshitsugu Kanemoto. "Metropolitan Employment Area (MEA) Data". Center for Spatial Information Science, The University of Tokyo.
- ^ Conversion rates – Exchange rates – OECD Data
- ^ "World Economic Outlook Database, October 2020". IMF.org. International Monetary Fund. Retrieved 20 October 2020.
- ^ Cite error: The named reference
2012stat
was invoked but never defined (see the help page). - ^ "The top 15 Indian cities by GDP | India's top 15 cities with the highest GDP - Yahoo India Finance". In.finance.yahoo.com. 28 September 2012. Archived from the original on 24 January 2014. Retrieved 4 April 2014.
- ^ "Kişi başına GSYH ($) (2019)". Turkish Statistical Institute. Retrieved 30 January 2021.
- ^ "BPS Provinsi DKI Jakarta". jakarta.bps.go.id. Archived from the original on 28 February 2019. Retrieved 28 February 2019.
- ^ "Jerusalem". Lloyd's. Archived from the original on 6 October 2015. Retrieved 27 May 2018.
- ^ Vorster, Gareth (11 March 2015). Joburg vs Cape Town: Best city challenge (Report). Retrieved 14 May 2019.
- ^ "Karachi rain disaster costing Pakistan's GDP at least $449 million a day". 28 August 2020.
- ^ "Rodiklių duomenų bazė - Oficialiosios statistikos portalas". osp.stat.gov.lt. Archived from the original on 28 January 2018. Retrieved 11 February 2018.
- ^ "Table 36-10-0468-01 Gross domestic product (GDP) at basic prices, by census metropolitan area (CMA) (x 1,000,000)". Statistics Canada. Archived from the original on 22 January 2021. Retrieved 27 April 2021.
- ^ "State Statistics Service of Ukraine". www.ukrstat.gov.ua.
- ^ "Table 36-10-0468-01 Gross domestic product (GDP) at basic prices, by census metropolitan area (CMA) (x 1,000,000)". Statistics Canada. Archived from the original on 22 January 2021. Retrieved 27 April 2021.
- ^ "Table 36-10-0468-01 Gross domestic product (GDP) at basic prices, by census metropolitan area (CMA) (x 1,000,000)". Statistics Canada. Archived from the original on 22 January 2021. Retrieved 27 April 2021.
- ^ Jump up to: a b "Statistinių rodiklių analizė". Osp.stat.gov.lt. Archived from the original on 21 August 2017. Retrieved 1 April 2017.
- ^ Yoshitsugu Kanemoto. "Metropolitan Employment Area (MEA) Data". Center for Spatial Information Science, The University of Tokyo.
- ^ Conversion rates - Exchange rates - OECD Data
- ^ "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. Archived from the original on 10 October 2013. Retrieved 30 April 2017.
- ^ "Table 36-10-0468-01 Gross domestic product (GDP) at basic prices, by census metropolitan area (CMA) (x 1,000,000)". Statistics Canada. Archived from the original on 22 January 2021. Retrieved 27 April 2021.
- ^ "Table 36-10-0468-01 Gross domestic product (GDP) at basic prices, by census metropolitan area (CMA) (x 1,000,000)". Statistics Canada. Archived from the original on 22 January 2021. Retrieved 27 April 2021.
- ^ Total Gross Domestic Product for Los Angeles-Long Beach-Anaheim Archived 26 November 2019 at the Wayback Machine Federal Reserve Economic Data. Retrieved 16 June 2019
- ^ Total Gross Domestic Product for Riverside-San Bernardino-Ontario Archived 16 June 2019 at the Wayback Machine Federal Reserve Economic Data. Retrieved 16 June 2019
- ^ Total Gross Domestic Product for Oxnard-Thousand Oaks-Ventura Archived 16 June 2019 at the Wayback Machine Federal Reserve Economic Data. Retrieved 16 June 2019
- ^ "World Economic Outlook Database, October 2019". IMF.org. International Monetary Fund. Retrieved 8 January 2020.
- ^ "World Economic Outlook Database, October 2020". IMF.org. International Monetary Fund. Archived from the original on 20 September 2020. Retrieved 13 October 2020.
- ^ "IBGE - Agência de Notícias". IBGE - Agência de Notícias. Archived from the original on 8 February 2019. Retrieved 5 February 2019.
- ^ "Badan Pusat Statistik Kota Medan". medankota.bps.go.id. Archived from the original on 1 January 2020. Retrieved 28 February 2019.
- ^ "Economy of Mexico City". n Mexico City Guides. Retrieved 23 August 2019.
- ^ https://apps.bea.gov/itable/iTable.cfm?ReqID=70&step=1
- ^ "U.S. metro areas - ranked by Gross Metropolitan Product (GMP) 2020". Statista.
- ^ "GRPs of regions and Minsk city and their percentage shares in GDP in 2018". www.belstat.gov.by. Archived from the original on 13 November 2019. Retrieved 9 April 2020.
- ^ "Table 36-10-0468-01 Gross domestic product (GDP) at basic prices, by census metropolitan area (CMA) (x 1,000,000)". Statistics Canada. Archived from the original on 22 January 2021. Retrieved 27 April 2021.
- ^ (((61/33)^(1/15))^10)*33 and (((33/21)^(1/15))^10)*21.
- ^ "GDP at constant prices Montréal, Québec 2017". Statista.
- ^ Jump up to: a b "Валовой региональный продукт::Мордовиястат". Mrd.gks.ru. Archived from the original on 17 February 2018. Retrieved 1 April 2017.
- ^ Approx., 2013 est. / GDP of Aichi Prefecture is 37.8 trillion yen (approximately US$368 billion). Archived 17 October 2017 at the Wayback Machine Cabinet Office, Government of Japan. Retrieved 14 August 2016.
- ^ "World's top 10 fastest growing cities are all from India; check which cities made it to Oxford list". The Financial Express. 22 May 2019. Retrieved 16 February 2021.
- ^ https://www.knbs.or.ke/download/gross-county-product-2019/. Missing or empty
|title=
(help)[dead link] Alt URL - ^ "U.S. metro areas – ranked by Gross Metropolitan Product (GMP) 2019 | Statistic". Statista. Archived from the original on 22 October 2018. Retrieved 31 May 2019.
- ^ Yoshitsugu Kanemoto. "Metropolitan Employment Area (MEA) Data". Center for Spatial Information Science, The University of Tokyo. Archived from the original on 15 June 2018. Retrieved 29 September 2016.
- ^ Conversion rates - Exchange rates - OECD Data
- ^ 2018年宁波市国民经济和社会发展统计公报 [Statistical Communiqué of Ningbo on the 2018 National Economic and Social Development]. tjj.ningbo.gov.cn (in Chinese). Ningbo Bureau of Statistics. 2 February 2019. Archived from the original on 30 October 2019. Retrieved 30 October 2019.
- ^ Jump up to: a b "Bruttoinlandsprodukt in den Metropolregionen in Deutschland 2014 | Statistik". Statista (in German). Archived from the original on 16 June 2018. Retrieved 16 June 2018.
- ^ Yoshitsugu Kanemoto. "Metropolitan Employment Area (MEA) Data". Center for Spatial Information Science, The University of Tokyo.
- ^ Conversion rates - Exchange rates - OECD Data
- ^ "Table 36-10-0468-01 Gross domestic product (GDP) at basic prices, by census metropolitan area (CMA) (x 1,000,000)". Statistics Canada. Archived from the original on 22 January 2021. Retrieved 27 April 2021.
- ^ "Database - Eurostat". ec.europa.eu. Archived from the original on 23 June 2019. Retrieved 23 April 2019.
- ^ "Table 36-10-0468-01 Gross domestic product (GDP) at basic prices, by census metropolitan area (CMA) (x 1,000,000)". Statistics Canada. Archived from the original on 22 January 2021. Retrieved 24 April 2021.
- ^ Cite error: The named reference
PatnaGDP
was invoked but never defined (see the help page). - ^ "Table 36-10-0468-01 Gross domestic product (GDP) at basic prices, by census metropolitan area (CMA) (x 1,000,000)". Statistics Canada. Archived from the original on 22 January 2021. Retrieved 27 April 2021.
- ^ https://ec.europa.eu/eurostat/documents/2995521/10474907/1-05032020-AP-EN.pdf/81807e19-e4c8-2e53-c98a-933f5bf30f58&ved=2ahUKEwi-u5GHnujpAhUOuIsKHaOlDG0QFjACegQIBRAJ&usg=AOvVaw0NnWnyaFRad5NgG3NGcbJP&cshid=1591276979492
- ^ "PIB por Entidad Federativa (PIBE) en 2019, Base 2013" (in Spanish). INEGI. Retrieved 13 February 2021.
- ^ "Table 36-10-0468-01 Gross domestic product (GDP) at basic prices, by census metropolitan area (CMA) (x 1,000,000)". Statistics Canada. 27 January 2017. Archived from the original on 22 January 2021. Retrieved 27 April 2021.
- ^ "Recife – IBGE Cidades". IBGE. Archived from the original on 21 December 2016. Retrieved 14 December 2016.
- ^ "Table 36-10-0468-01 Gross domestic product (GDP) at basic prices, by census metropolitan area (CMA) (x 1,000,000)". Statistics Canada. Archived from the original on 22 January 2021. Retrieved 27 April 2021.
- ^ "2.1. Gross Domestic Product | Stratēģijas Uzraudzības Sistēma". www.sus.lv. Archived from the original on 28 January 2018. Retrieved 11 February 2018.
- ^ "Table 36-10-0468-01 Gross domestic product (GDP) at basic prices, by census metropolitan area (CMA) (x 1,000,000)". Statistics Canada. Archived from the original on 22 January 2021. Retrieved 27 April 2021.
- ^ "Table 36-10-0468-01 Gross domestic product (GDP) at basic prices, by census metropolitan area (CMA) (x 1,000,000)". Statistics Canada. Archived from the original on 22 January 2021. Retrieved 27 April 2021.
- ^ "Table 36-10-0468-01 Gross domestic product (GDP) at basic prices, by census metropolitan area (CMA) (x 1,000,000)". Statistics Canada. Archived from the original on 22 January 2021. Retrieved 27 April 2021.
- ^ Do G1, em São Paulo. "2013 GDPs" (in Portuguese). Terra.com. Archived from the original on 25 March 2014. Retrieved 24 March 2014.
- ^ Já, Bahia. "IBGE: SALVADOR ocupa 22º lugar no ranking per capita do PIB/2011". Bahia Já. Archived from the original on 16 October 2014.
- ^ "GDP by County, Metro, and Other Areas | U.S. Bureau of Economic Analysis (BEA)". www.bea.gov. Retrieved 5 January 2021.
- ^ "US DOLLAR RATES FOR 12/31/2013 / BRAZILIAN REAL". EXCHANGE-RATES.ORG. 2013. Archived from the original on 22 September 2019. Retrieved 22 September 2019.
- ^ Yoshitsugu Kanemoto. "Metropolitan Employment Area (MEA) Data". Center for Spatial Information Science, The University of Tokyo.
- ^ Conversion rates - Exchange rates - OECD Data
- ^ "Table 36-10-0468-01 Gross domestic product (GDP) at basic prices, by census metropolitan area (CMA) (x 1,000,000)". Statistics Canada. Archived from the original on 22 January 2021. Retrieved 27 April 2021.
- ^ Yoshitsugu Kanemoto. "Metropolitan Employment Area (MEA) Data". Center for Spatial Information Science, The University of Tokyo.
- ^ Conversion rates – Exchange rates – OECD Data
- ^ "2018년 지역소득(잠정)". Archived from the original on 21 June 2020. Retrieved 28 December 2019.
- ^ "2020年全国城市gdp百强,你的家乡是否上榜呢?".
- ^ Jump up to: a b c "Shanghai first Chinese city to top 3 trillion yuan GDP". China Daily. Archived from the original on 20 January 2018. Retrieved 20 January 2018.
- ^ "东北三省会2019GDP公布,沈阳重回榜首". xw.qq.com.
- ^ "Table 36-10-0468-01 Gross domestic product (GDP) at basic prices, by census metropolitan area (CMA) (x 1,000,000)". Statistics Canada. Archived from the original on 22 January 2021. Retrieved 27 April 2021.
- ^ "The 150 richest cities in the world by GDP in 2020". Archived from the original on 9 February 2014. Retrieved 24 February 2014.
- ^ Yoshitsugu Kanemoto. "Metropolitan Employment Area (MEA) Data". Center for Spatial Information Science, The University of Tokyo.
- ^ Conversion rates - Exchange rates - OECD Data
- ^ "World Economic Outlook Database, October 2019". IMF.org. International Monetary Fund. Retrieved 21 June 2020.
- ^ "GDP by Economic Sector and Region". National Statistical Institute. Archived from the original on 16 July 2020. Retrieved 14 July 2020.
- ^ Sofia 2016, p. 64.
- ^ "Archived copy". Archived from the original on 3 March 2018. Retrieved 6 April 2018.CS1 maint: archived copy as title (link)
- ^ "Table 36-10-0468-01 Gross domestic product (GDP) at basic prices, by census metropolitan area (CMA) (x 1,000,000)". Statistics Canada. Archived from the original on 22 January 2021. Retrieved 27 April 2021.
- ^ "BPS Provinsi Jawa Timur". jatim.bps.go.id.
- ^ "Harju County". issuu. Retrieved 28 August 2019.
- ^ "საქართველოს სტატისტ���კის ეროვნული სამსახური". www.geostat.ge (in Georgian). Archived from the original on 13 September 2019. Retrieved 28 August 2019.
- ^ "Why Tel Aviv". www.tel-aviv.gov.il.
- ^ Approx., 2011 est. / Eurostat. Archived 6 October 2014 at the Wayback Machine Retrieved 11 May 2017.
- ^ "Table 36-10-0468-01 Gross domestic product (GDP) at basic prices, by census metropolitan area (CMA) (x 1,000,000)". Statistics Canada. Archived from the original on 22 January 2021. Retrieved 27 April 2021.
- ^ "都民経済計算(都内総生産等)30年度速報・元年度見込|東京都". www.metro.tokyo.lg.jp. Retrieved 27 March 2021.
- ^ "Economic Indicators". www150.statcan.gc.ca. Retrieved 17 January 2021. Toronto CMA GDP was 334.1B CAD, converted at the average CAD/USD exchange rate of 1.104 for 2014.
- ^ "Table 36-10-0468-01 Gross domestic product (GDP) at basic prices, by census metropolitan area (CMA) (x 1,000,000)". Statistics Canada. Archived from the original on 22 January 2021. Retrieved 27 April 2021.
- ^ "Metropolitan Outlook 1: Economic Insights into 13 Canadian Metropolitan Economies—Autumn 2018". The Conference Board of Canada.
- ^ "Table 36-10-0468-01 Gross domestic product (GDP) at basic prices, by census metropolitan area (CMA) (x 1,000,000)". Statistics Canada. Archived from the original on 22 January 2021. Retrieved 27 April 2021.
- ^ [permanent dead link]
- ^ https://ec.europa.eu/eurostat/documents/2995521/10474907/1-05032020-AP-EN.pdf
- ^ 产业经济. Archived from the original on 18 May 2018. Retrieved 1 September 2017.
- ^ "Total Real Gross Domestic Product for Wichita, KS (MSA)". Federal Reserve Economic Data. Retrieved 5 October 2020.
- ^ "Table 36-10-0468-01 Gross domestic product (GDP) at basic prices, by census metropolitan area (CMA) (x 1,000,000)". Statistics Canada. Archived from the original on 22 January 2021. Retrieved 27 April 2021.
- ^ "乌鲁木齐市2019年国民经济和社会发展统计公报" (in Chinese). 12 March 2021. Retrieved 12 March 2021.
- ^ "Economy". Yerevan Municipality. Archived from the original on 5 September 2019. Retrieved 28 December 2019.
Categories:
- Lists of cities
- Economies by city
- Gross state product
- Lists of cities by GDP