Liska Magaalooyinka GDP 2018
Appearance
| Magalo /Metropolitan area | Waddanka/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 | Template:NLD | Western Europe | 154.0 (2015)[9] | 320.6[Note 1] | 47 | |||
| Anápolis | South America | 6.740 (2011)[10] | ||||||
| Ankara | Western Asia | 108.9 | 58 | 64.9 | ||||
| Anshan | East Asia | 69.4 | ||||||
| Arnhem-Nijmegen | Template:Country data Nederlands | Western Europe | 27.9 (2016)[9] | 44.4 | ||||
| Athens | Southern Europe | 98.7 (2015)[9] | 129.6 | 96 | ||||
| Atlanta | North America | 363.768 (2016)[8] | 299.4 | 304 | 249.7 | 242.4[11] | ||
| Auckland | Template:NZL | Oceania | 49.5 | 55 | ||||
| Austin | North America | 139.010 (2016)[8] | 107.4 | |||||
| Bakersfield | North America | 35.162 (2016)[8] | 47.9 | |||||
| Baghdad | Western Asia | 55 | ||||||
| Baltimore | North America | 189.395 (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 | Template:SRB | Southern Yurub | 17.4 (2014)[14] | |||||
| Belo Horizonte | South America | 54.996 (2011)[10] | 84.7 | 61 | 78.5 | |||
| Berbera | Afrika | 1.2 (2018)[15] | 1.5 | 1.5 |
||||
| 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 Yurub | 81.8 (2016)[9] | 121.1 | 90 | ||||
| Birmingham, Alabama | North America | 62.758 (2016)[8] | 54.164 | |||||
| Bogotá | Template:COL | 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 | Template:BEL | Western Europe | 144.359 (2016)[9] | 254.3 | 83 | |||
| Bucharest | Eastern Europe | 80.407 (2019)[9] | 82.4 | |||||
| Budapest | Template:HUN | 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 | Template:ZAF | Africa | 58.9 | 103 | ||||
| Caracas | Template:VEN | 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 | Template:DNK | 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 | ||||||
| Jabuuti (magaalo) | Jabuuti | Afrika | 1.572 (2018)[8] | 1.7 | 1.6 | 1.6[11] | ||
| 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 | Template:TZA | 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 | Template:IRL | Northern Europe | 127.8 (2015)[9] | 90.1 | 61 | |||
| Durban | Template:ZAF | Africa | 48.9 | |||||
| Durham | North America | 43.908 (2016)[8] | 37.0 | |||||
| East Rand | Template:ZAF | Africa | 55.3 | 54 | ||||
| Edinburgh | Northern Europe | 41.8 (2016)[9] | 32.5 | |||||
| Edmonton | North America | 83.0 | ||||||
| Eindhoven-Den Bosch | Template:NLD | 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 | Template:SWE | 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 | Template:ISR | 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 | Template:VNM | East Asia | 42 | style="background:khaki;" | ||||
| Hargeisa | Afrika | 2.1 (2017) [12] | 2.9 | 2.8 | ||||
| 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 | Template:VNM | South-East Asia | 71.1 | 58 | ||||
| Hong Kong | Template:Country data 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 | Template:TWN | 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 | Template:ISR | Western Asia | 48.0 (2015)[26] | |||||
| Jinan | East Asia | 106.7 (2017) [12] | 136.8 | 43.2 | ||||
| Johannesburg | Template:ZAF | 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 | Template:TWN | 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 | Template:LTU | 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 | Template:LTU | 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 | Template:PER | South America | 176.5 | 109 | 77.3 | |||
| Linz | Western Europe | 37.9 (2015)[9] | 44.6 | |||||
| Lisbon | Template:PRT | 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 | Template:AGO | Africa | 33 | 38.6 | ||||
| Lucknow | South Asia | 22 | ||||||
| Luxembourg-Trier | Template:LUX | 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 | Template:Country data 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 | Template:PHL | South-East Asia | 182.8 | 149 | ||||
| Marseille | Western Europe | 104.1 (2015)[9] | 60.3 | |||||
| Medellín | Template:COL | 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 | Template:BLR | Eastern Europe | 13.0 (2012)[39] | |||||
| Monterrey | North America | 122.9 | 102 | |||||
| Montevideo | Template:URY | South America | 44.0[40][Note 5] | |||||
| Montreal | North America | 155.9 | 148 | |||||
| Muqdisho | Afrika | 3.0 | 3.0 | |||||
| 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 | 1,657.457 (2016)[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 | Template:PRT | 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 | Template:CZE | Eastern Europe | 73.0 (2016)[9] | 89.2 | 49 | |||
| Pretoria | Template:ZAF | 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 | Template:PRK | 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 | Template:MMR | 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 | Template:LVA | 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 | Template:NLD | 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 | Template:CHL | 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 | Template:BGR | 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 | Template:SWE | 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 | Template:TWN | East Asia | 114.7 | |||||
| Tainan | Template:TWN | East Asia | 76.7 | |||||
| Taipei | Template:TWN | 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 | Template:TWN | East Asia | 86.8 | |||||
| Tbilisi | Template:GEO | Western Asia | 8.0 (2017)[63] | |||||
| Tehran | South Asia | 127 | ||||||
| Tel Aviv | Template:ISR | 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 | Template:LTU | 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 |
- ↑ "Composition of macro geographical (continental) regions, geographical sub-regions, and selected economic and other groupings". United Nations. Archived from the original on 13 Bisha Todobaad 2011. Retrieved 23 October 2012.
{{cite web}}: Check date values in:|archive-date=(help); Unknown parameter|ciwaan=ignored (help); Unknown parameter|dead-url=ignored (|url-status=suggested) (help) - ↑ "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. Archived from the original on 28 Bisha Sideedaad 2012. Retrieved 24 August 2012.
{{cite web}}: Check date values in:|archive-date=(help); Unknown parameter|ciwaan=ignored (help); Unknown parameter|dead-url=ignored (|url-status=suggested) (help) - 1 2 "2008 estimate" (xls). Office for National Statistics. 6 March 2012. Retrieved 13 August 2013.
- ↑ "Abu Dhabi Economic Report" (PDF). Archived from the original (PDF) on 2016-03-04. Retrieved 2018-07-20.
{{cite web}}: Unknown parameter|ciwaan=ignored (help); Unknown parameter|dead-url=ignored (|url-status=suggested) (help) - ↑ 2015–16 est. / SGSEP Archived Abriil 22, 2018 // Wayback Machine 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 79 "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". Archived from the original on 2018-06-19.
{{cite web}}: Unknown parameter|ciwaan=ignored (help); Unknown parameter|dead-url=ignored (|url-status=suggested) (help) - 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 25 "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 34 "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. Archived from the original on 2019-01-04. Retrieved 2018-03-18.
{{cite web}}: Unknown parameter|ciwaan=ignored (help); Unknown parameter|dead-url=ignored (|url-status=suggested) (help) - ↑ 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 5 Baden-Württemberg, Statistisches Landesamt. "Aktuelle Ergebnisse – VGR dL". www.statistik-bw.de (in Jarmal). Archived from the original on 2019-02-13. Retrieved 2018-06-16.
{{cite web}}: Unknown parameter|ciwaan=ignored (help); Unknown parameter|dead-url=ignored (|url-status=suggested) (help) - ↑ 2015–16 est. / SGSEP Archived Abriil 22, 2018 // Wayback Machine 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 Nofeembar 2011. Retrieved 11 Agoosto 2008.
{{cite web}}: Unknown parameter|deadurl=ignored (|url-status=suggested) (help) - ↑ "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. Archived from the original on April 16, 2017. Retrieved April 15, 2017.
{{cite web}}: Unknown parameter|ciwaan=ignored (help); Unknown parameter|dead-url=ignored (|url-status=suggested) (help) - ↑ 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. Archived from the original on 2019-05-02. Retrieved 2018-07-20.
{{cite web}}: Unknown parameter|ciwaan=ignored (help); Unknown parameter|dead-url=ignored (|url-status=suggested) (help) - ↑ "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 Febraayo 2013.
{{cite web}}: Unknown parameter|deadurl=ignored (|url-status=suggested) (help) - ↑ https://www.lloyds.com/cityriskindex/locations/city/jerusalem
- ↑ https://osp.stat.gov.lt/statistiniu-rodikliu-analize?id=8,446&status=A#/
- ↑ https://web.archive.org/web/20140714233046/http://www.gorstat.kiev.ua/p.php3?c=425&lang=1. Archived from the original on 2014-07-14. Retrieved 2018-07-20.
{{cite web}}: Missing or empty|title=(help); Unknown parameter|ciwaan=ignored (help); Unknown parameter|dead-url=ignored (|url-status=suggested) (help) - ↑ "Statistinių rodiklių analizė". Osp.stat.gov.lt. Archived from the original on 2017-08-21. Retrieved 2017-04-01.
{{cite web}}: Unknown parameter|ciwaan=ignored (help); Unknown parameter|dead-url=ignored (|url-status=suggested) (help) - ↑ "Lagos Gross Domestic Product" (PDF). Lagos State Government. 2010. Archived from the original (PDF) on 25 Abriil 2015. Retrieved 16 Maarso 2015.
{{cite web}}: Unknown parameter|deadurl=ignored (|url-status=suggested) (help) - ↑ "Leicester" (PDF). Leicester and Leicestershire Enterprise Partnership. Autumn 2009. Archived from the original (PDF) on 13 Agoosto 2013.
/catid/22/ LLEP
{{cite web}}: Unknown parameter|deadurl=ignored (|url-status=suggested) (help) - ↑ 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. Archived from the original on 2015-03-28. Retrieved 2017-04-01.
{{cite web}}: Unknown parameter|ciwaan=ignored (help); Unknown parameter|dead-url=ignored (|url-status=suggested) (help) - ↑ 2015–16 est. / SGSEP Archived Abriil 22, 2018 // Wayback Machine 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%5Bxiriiriye+dhintay%5D
- ↑ "Global Cities of the Future". McKinsey. Retrieved 19 January 2016.
{{cite web}}: Unknown parameter|deadurl=ignored (|url-status=suggested) (help) - 1 2 "Валовой региональный продукт::Мордовиястат". Mrd.gks.ru. Archived from the original on 2018-02-17. Retrieved 2017-04-01.
{{cite web}}: Unknown parameter|ciwaan=ignored (help); Unknown parameter|dead-url=ignored (|url-status=suggested) (help) - ↑ 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. Archived from the original on 2019-05-02. Retrieved 2018-07-20.
{{cite web}}: Unknown parameter|ciwaan=ignored (help); Unknown parameter|dead-url=ignored (|url-status=suggested) (help) - ↑ https://www.bea.gov/newsreleases/regional/gdp_metro/gdp_metro_newsrelease.htm
- 1 2 "Bruttoinlandsprodukt in den Metropolregionen in Deutschland 2014 | Statistik". Statista (in Jarmal). 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. Archived from the original on 2019-05-02. Retrieved 2018-07-20.
{{cite web}}: Unknown parameter|ciwaan=ignored (help); Unknown parameter|dead-url=ignored (|url-status=suggested) (help) - ↑ 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 Archived Abriil 22, 2018 // Wayback Machine 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
- ↑ https://web.archive.org/web/20180128190448/http://www.sus.lv/en/21-gross-domestic-product. Archived from the original on 2018-01-28. Retrieved 2018-07-20.
{{cite web}}: Missing or empty|title=(help); Unknown parameter|ciwaan=ignored (help); Unknown parameter|dead-url=ignored (|url-status=suggested) (help) - ↑ 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 Febraayo 2009. Retrieved 3 Febraayo 2013.
{{cite web}}: Unknown parameter|deadurl=ignored (|url-status=suggested) (help) - ↑ 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. Archived from the original on 7 Bisha Koobaad 2019. Retrieved 3 February 2013.
{{cite web}}: Check date values in:|archive-date=(help); Unknown parameter|ciwaan=ignored (help); Unknown parameter|dead-url=ignored (|url-status=suggested) (help) - 1 2 "Contacts – City of Stockholm". International.stockholm.se. Retrieved 2017-04-01.
- ↑ 2015–16 est. / SGSEP Archived Abriil 22, 2018 // Wayback Machine 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 Sebteembar 10, 2011 // Wayback Machine Archived 22 Jannaayo 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 Abriil 16, 2010 // Wayback Machine Archived 6 Oktoobar 2014 at the Wayback Machine Retrieved 11 May 2017.
- ↑ "National Bureau of Statistics of China". http://data.stats.gov.cn. Retrieved 2017-08-25.
{{cite web}}: External link in(help)|website= - ↑ 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. Archived from the original on 2019-05-02. Retrieved 2018-07-20.
{{cite web}}: Unknown parameter|ciwaan=ignored (help); Unknown parameter|dead-url=ignored (|url-status=suggested) (help) - ↑ "Economic Indicators" (PDF). www1.toronto.ca. Archived from the original (PDF) on 29 Sebteembar 2017. Retrieved 28 Abriil 2017.
{{cite web}}: Unknown parameter|deadurl=ignored (|url-status=suggested) (help) 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 Agoosto 13, 2012 // Wayback Machine Archived 13 Agoosto 2012 at the Wayback Machine by IHS Global Insight for The U.S. Conference of Mayors
- ↑ "Statistinių rodiklių analizė". Osp.stat.gov.lt. Archived from the original on 2017-08-21. Retrieved 2017-04-01.
{{cite web}}: Unknown parameter|ciwaan=ignored (help); Unknown parameter|dead-url=ignored (|url-status=suggested) (help)
- ↑ 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
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