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.
Metropolitan area[edit]
Major metropolitan areas contributing at least 2.5‰ of world GDP.
Rank (nominal) | Rank (PPP) | Metropolitan area | Country/region | UNSD | Visual Capitalist[5]
2021 est. GDP (billion US$) |
Visual Capitalist[6]
2021 est. PPP-adjusted GDP (billion US$) |
---|---|---|---|---|---|---|
1 | 1 | Greater Tokyo Area | Japan | Eastern Asia | 2,055.698 | 2,205.652 |
2 | 2 | New York metropolitan area | United States | North America | 1,874.398 | 1,874.398 |
3 | 3 | Greater Los Angeles | United States | North America | 1,133.627 | 1,133.627 |
4 | 5 | London metropolitan area | United Kingdom | Northern Europe | 978.402 | 1,064.297 |
5 | 6 | Paris metropolitan area | France | Western Europe | 934.168 | 1,036.925 |
6 | 4 | Seoul Capital Area | South Korea | Eastern Asia | 926.790 | 1,125.042 |
7 | 13 | Chicago metropolitan area | United States | North America | 714.697 | 714.697 |
8 | 10 | Keihanshin | Japan | Eastern Asia | 699.474 | 897.418 |
9 | 15 | Rhine-Ruhr metropolitan region | Germany | Western Europe | 636.449 | 698.982 |
10 | 7 | Shanghai | China | Eastern Asia | 633.935 | 1,018.815 |
11 | 21 | San Francisco | United States | North America | 593.629 | 593.629 |
12 | 9 | Beijing | China | Eastern Asia | 591.374 | 950.671 |
13 | 24 | Washington metropolitan area | United States | North America | 578.985 | 578.985 |
14 | 28 | Dallas–Fort Worth metroplex | United States | North America | 523.854 | 523.854 |
15 | 29 | Greater Boston | United States | North America | 513.211 | 513.211 |
16 | 8 | Moscow metropolitan area | Russia | Eastern Europe | 504.808 | 1,004.849 |
17 | 30 | Greater Houston | United States | North America | 489.377 | 489.377 |
18 | 14 | Shenzhen | China | Eastern Asia | 455.694 | 704.486 |
19 | 34 | Delaware Valley | United States | North America | 455.653 | 455.653 |
20 | 31 | Greater Toronto Area | Canada | North America | 452.492 | 475.232 |
21 | 35 | Seattle metropolitan area | United States | North America | 444.337 | 444.337 |
22 | 36 | Atlanta metropolitan area | United States | North America | 432.009 | 432.009 |
23 | 22 | Taipei–Keelung metropolitan area | Taiwan | Eastern Asia | 407.838 | 585.867 |
24 | 17 | Chongqing | China | Eastern Asia | 407.562 | 657.985 |
25 | 16 | Guangzhou | China | Eastern Asia | 405.355 | 664.854 |
26 | Sydney | Australia | Oceania | 398.037 | ||
27 | 42 | Miami metropolitan area | United States | North America | 388.725 | 388.725 |
28 | 40 | Chūkyō metropolitan area | Japan | Eastern Asia | 379.301 | 403.861 |
29 | 19 | Singapore | Singapore | Eastern Asia | 374.394 | 600.063 |
30 | 32 | Hong Kong | Template:HKG | Eastern Asia | 368.633 | 472.395 |
31 | 47 | Santa Clara County, California | United States | North America | 359.111 | 359.111 |
32 | 39 | Milan metropolitan area | Italy | Southern Europe | 329.529 | 405.516 |
33 | Melbourne | Australia | Oceania | 318.677 | ||
34 | 12 | Jakarta metropolitan area | Indonesia | South-Eastern Asia | 308.250 | 841.605 |
35 | 27 | Suzhou | China | Eastern Asia | 301.510 | 526.904 |
36 | 48 | San Diego County, California | United States | North America | 283.330 | 283.330 |
37 | 44 | Madrid metropolitan area | Spain | Southern Europe | 280.937 | 376.565 |
38 | 49 | Phoenix metropolitan area | United States | North America | 278.841 | 278.841 |
39 | 18 | Mumbai Metropolitan Region | India | South Asia | 277.980 | 606.625 |
40 | 20 | National Capital Region (India) | India | South Asia | 272.603 | 594.884 |
41 | 50 | Minneapolis–Saint Paul | United States | North America | 272.373 | 272.373 |
42 | 51 | Metro Detroit | United States | North America | 267.731 | 267.731 |
43 | 23 | Greater São Paulo | Brazil | South America | 261.642 | 583.821 |
44 | 33 | Chengdu | China | Eastern Asia | 260.409 | 468.382 |
45 | Busan–Gyeongnam Area | South Korea | Eastern Asia | 252.145 | ||
46 | 25 | Bangkok Metropolitan Region | Thailand | South-Eastern Asia | 252.128 | 559.911 |
47 | 26 | Greater Mexico City | Mexico | North America | 250.455 | 547.457 |
48 | Munich Metropolitan Region | Germany | Western Europe | 249.764 | ||
49 | 41 | Hangzhou | China | Eastern Asia | 248.721 | 396.722 |
50 | 11 | Istanbul | Turkey | Western Asia | 247.312 | 858.706 |
51 | Berlin/Brandenburg Metropolitan Region | Germany | Western Europe | 243.160 | ||
52 | 45 | Tianjin | China | Eastern Asia | 235.664 | 370.885 |
37 | Wuhan | China | Eastern Asia | 409.508 | ||
38 | Greater Dhaka | Bangladesh | South Asia | 405.872 | ||
43 | Greater Buenos Aires | Argentina | South America | 381.762 | ||
46 | Nanjing | China | Eastern Asia | 363.228 |
List[edit]
Each of the columns in the table is sortable by pressing on the arrows at the head of the column:
Rank | City proper/metropolitan area | Country/region | Official est. GDP
up to date (billion US$) |
Metropolitan population | Official est. GDP per capita |
---|---|---|---|---|---|
300+ | Abbotsford, British Columbia | Canada | Error in Template:Nts: Fractions are not supported (2019)[7] | 202,497 (2019)[8] | Template:Per capita |
300+ | Aberdeen | United Kingdom | 23.0 (2020)[9] | 489,840 (2020)[10] | 46,957.94 |
300+ | Abidjan | Ivory Coast | 27 (2017)[11] | 5,950,000 (2022)[12] | 4,537.82 |
110 | Abu Dhabi | United Arab Emirates | 119 (2015)[13] | 1,660,000 (2022)[12] | 71,686.75 |
203 | Adelaide | Australia | 64.461 (2018–19)[14] | 1,380,000 (2022)[12] | 46,710.87 |
170 | Ahmedabad | India | 80 (2023)[15] | 9,300,000 (2023)[16] | 8,602.15 |
300+ | Alexandria | Egypt | 6,050,000 (2022)[12] | 5,355.37 | |
300+ | Almaty | Kazakhstan | 36 (2010)[17] | 2,250,000 (2022)[12] | 16,000.00 |
300+ | Anápolis | Template:Country data Mercosur Brazil | 6.740 (2011)[18] | 391,772 (2020)[19] | 17,203.88 |
177 | Ankara | Turkey | 74.83 (2021)[20] | 5,150,000 (2021)[21] | 14,530.10 |
193 | Anshan | China | 2,350,000 (2022)[12] | 28,694.47 | |
164 | Auckland | New Zealand | 81.227 (2022)[22] | 1,470,000 (2022)[12] | 55,256.46 |
300+ | Ballarat | Australia | 4.460 (2018–19)[14] | 109,553 (2020)[23] | 40,710.89 |
300+ | Bandung | Indonesia | 38.3 (2021)[24] | 6,850,000 (2022)[12] | 5,591.24 |
300+ | Batam | Indonesia | 35.3 | 1,170,000 (2022)[12] | 30,170.94 |
46 | Bangkok | Thailand | 252.128 (2021)[5] | 19,900,000 (2022)[12] | 12,669.75 |
269 | Baotou | China | 40.8 (2017)[25] | 2,150,000 (2022)[12] | 18,976.74 |
300+ | Barrie | Canada | Error in Template:Nts: Fractions are not supported (2019)[7] | 214,350 (2019)[8] | Template:Per capita |
11 | Beijing | China | 618.648 (2022)[26] | 20,500,000 (2022)[12] | 30,177.95 |
300+ | Belfast | United Kingdom | 25.5 (2015)[27] | 1,115,936 (2020)[28] | 22,850.77 |
300+ | Belgrade | Serbia | 17.4 (2014)[29] | 1,430,000 (2022)[12] | 12,167.83 |
300+ | Belleville, Ontario | Canada | Error in Template:Nts: Fractions are not supported (2019)[7] | 111,180 (2019)[8] | Template:Per capita |
228 | Belo Horizonte | Template:Country data Mercosur Brazil | 54.996 (2011)[18] | 5,100,000 (2022)[12] | 10,783.53 |
300+ | Bendigo | Australia | 3.961 (2018–19)[14] | 100,632 (2021)[30] | 39,361.24 |
160 | Bengaluru | India | 83 (2021)[31] | 13,200,000 (2022)[12] | 6,287.88 |
300+ | Bhopal | India | 3.96 (2016–17)[32] | 2,550,000 (2022)[12] | 1,552.94 |
300+ | Birmingham | United Kingdom | 39.1 (2020) | 3,150,000 (2022)[12] | 12,412.70 |
92 | Bogotá | Colombia | 10,000,000 (2022)[12] | 15,985.00 | |
300+ | Brantford | Canada | Error in Template:Nts: Fractions are not supported (2019)[7] | 149,522 (2019)[8] | Template:Per capita |
202 | Brasília | Template:Country data Mercosur Brazil | 65.338 (2015)(8th) | 4,100,000 (2022)[12] | 15,936.10 |
75 | Brisbane | Australia | 177 (2018–19)[14] | 2,620,873 (2022)[12] | 67,534.75 |
300+ | Bristol | United Kingdom | 22.3 (2020)[27] | 465,866 (2020)[33] | 47,864.35 |
157 | Buenos Aires | Template:Country data Mercosur Argentina | 84.7 (2011)[34] | 16,800,000 (2022)[12] | 18,750.00 |
168 | Bursa | Turkey | 2,175,000 (2022)[12] | 36,810.57 | |
45 | Busan-Gyeongnam Area | South Korea | 252.145 (2021)[5] | 7,038,129 (2022)[12] | 35,825.57 |
300+ | Cairns | Australia | 10.709 (2018–19)[14] | 153,951 (2019)[35] | 69,561.09 |
130 | Cairo | Egypt | 21,900,000 (2022)[12] | 4,665.07 | |
159 | Calgary | Canada | Error in Template:Nts: Fractions are not supported (2019)[7] | 1,514,426 (2019)[8] | Template:Per capita |
294 | Campinas | Template:Country data Mercosur Brazil | 40.525 (2011)[18] | 3,275,000 (2022)[12] | 12,374.05 |
300+ | Campo Grande | Template:Country data Mercosur Brazil | 9.59 (2013)[36] | 916,001 (2021)19th | 10,469.42 |
300+ | Campos dos Goytacazes | Template:Country data Mercosur Brazil | 5.358 (2016)[37] | 511,168 (2020)[38] | 10,481.88 |
300+ | Canberra | Australia | 30.909 (2018–19)[14] | 431,380 (2020)[39] | 71,651.44 |
300+ | Cape Town | South Africa | 4,375,000 (2022)[12] | 13,454.40 | |
187 | Caracas | Template:Country data Mercosur Venezuela | 70 (2012)[40] | 3,800,000 (2022)[12] | 18,421.05 |
249 | Cardiff-Newport | United Kingdom | 49.5 (2020)[27] | 1,552,527 (2020)[33] | 31,884.06 |
300+ | Casablanca | Morocco | 4,625,000 (2022)[12] | 8,192.00 | |
300+ | Chandigarh | India | 17.30 (2017)[41] | 2,500,000 (2022)[12] | 6,920.00 |
140 | Changchun | China | 96.7 (2017)[25] | 4,375,000 (2022)[12] | 22,102.86 |
62 | Changsha | China | 208.97 (2021)[42] | 5,050,000 (2021)[21] | 41,380.20 |
136 | Changzhou | China | 98.1 (2017)[25] | 12,400,000 (2015)[43] | 7,911.29 |
42 | Chengdu | China | 260.409 (2021)[5] | 10,000,000 (2021)[44] | 26,040.90 |
198 | Chennai | India | 66 (2012)[31] | 11,900,000 (2022)[12] | 5,546.22 |
284 | Coimbatore | India | 42 (2021) | 2,850,000 (2022)[12] | 14,736.84 |
300+ | Chittagong | Bangladesh | 25.5 (2019)[45] | 5,100,000 (2022)[12] | 5,000.00 |
26 | Chongqing | China | 407.562 (2021)[5] | 8,400,000 (2021)[46] | 48,519.29 |
300+ | Cocos (Keeling) Islands | Template:CCK | 0.01101255 (2010)[47] | 544 (2016)[48] | 20,243.66 |
300+ | Coventry | United Kingdom | 13.9 (2020)[49][50] | 379,387 (2020)[51] | 36,675.46 |
222 | Curitiba | Template:Country data Mercosur Brazil | 58.082 (2011)[18] | 3,500,000 (2022)[12] | 16,594.86 |
231 | Daegu | South Korea | 2,750,000 (2022)[12] | 19,802.18 | |
299 | Daejeon | South Korea | 1,540,000 (2022)[12] | 25,723.38 | |
120 | Dalian | China | 109.1 (2017)[25] | 5,050,000 (2022)[12] | 21,603.96 |
300+ | Dar es Salaam | Tanzania | 10.4 (2019)[52] | 6,750,000 (2022)[12] | 1,540.74 |
298 | Daqing | China | 39.7 (2017)[25] | 1,820,000 (2022)[12] | 21,813.19 |
39 | National Capital Region (India) | India | 272.603 (2021)[5] | 31,300,000 (2021)[21] | 8,709.36 |
91 | Dhaka | Bangladesh | 160 (2020)[53] | 20,900,000 (2022)[12] | 7,655.50 |
114 | Dongguan | China | 112.3 (2017)[25] | 10,486,625 (2020)[54] | 10,708.88 |
209 | Dongying | China | 61.89 (2018)[25] | 2,193,518 (2020)[55][56] | 28,214.95 |
129 | Dubai | United Arab Emirates | 102.67 (2018)[57] | 4,264,316 (2022)[12] | 24,076.55 |
254 | Durban | South Africa | 3,525,000 (2022)[12] | 13,874.61 | |
227 | East Rand | South Africa | 3,178,470 | 17,409.95 | |
300+ | Edinburgh | United Kingdom | 32.9 (2020)[27] | 527,620 (2020)[58] | 62,357.85 |
190 | Edmonton | Canada | Error in Template:Nts: Fractions are not supported (2019)[7] | 1,442,835 (2019)[8] | Template:Per capita |
279 | Faisalabad | Pakistan | 43 (2013)[59] | 3,850,000 (2022)[12] | 11,168.83 |
300+ | Fortaleza | Template:Country data Mercosur Brazil | 21.7 (2012)[60] | 3,750,000 (2022)[12] | 5,786.67 |
102 | Foshan | China | 139 (2017)[25] | 8,820,933 (2017)[61] | 15,757.97 |
72 | Fukuoka–Kitakyushu | Japan | 185 (2013)[62] | 4,765,000 (2022)[12] | 38,824.76 |
111 | Fuzhou | China | 118.683 (2018)[63] | 4,450,000 (2022)[12] | 26,670.34 |
300+ | Geelong | Australia | 8.725 (2018–19)[14] | 268,984 (2021)[64][65] | 32,436.87 |
270 | Geneva | Switzerland | 201,818 (2018)[66] | 217,919.12 | |
300+ | George Town | Malaysia | 2,050,000 (2022)[12] | 18,533.17 | |
300+ | Gibraltar | Template:GIB | 3.265 (2022)[67][68] | 34,003 (2020)[69] | 96,020.94 |
300+ | Gladstone | Australia | 4.464 (2018–19)[14] | 45,130 (2018)[70] | 98,914.25 |
192 | Glasgow | United Kingdom | 67.7 (2020)[27] | 1,690,000 (2022)[12] | 40,059.17 |
300+ | Gold Coast | Australia | 26.669 (2018–19)[14] | 679,127 (2018)[71] | 39,269.53 |
300+ | Goiânia | Template:Country data Mercosur Brazil | 22.763 (2011)[18] | 2,500,000 (2022)[12] | 9,105.20 |
167 | Guadalajara | Mexico | 5,650,000 (2022)[12] | 14,275.40 | |
27 | Guangzhou | China | 405.355 (2021)[5] | 18,676,605 (2020)[72] | 21,703.89 |
300+ | Guelph | Canada | Error in Template:Nts: Fractions are not supported (2019)[7] | 165,125 (2019)[8] | Template:Per capita |
300+ | Gujranwala | Pakistan | 15.681 (2016)[73] | 2,975,000 (2022)[12] | 5,270.97 |
300+ | Gwangju | South Korea | 1,630,000 (2022)[12] | 22,490.80 | |
295 | Haifa | Israel | 1,050,000 (2019)[74] | 38,476.19 | |
300+ | Halifax, Nova Scotia | Canada | Error in Template:Nts: Fractions are not supported (2019)[7] | 439,835 (2019)[8] | Template:Per capita |
232 | Hamamatsu | Japan | 54.3 (2010)[75][76] | 1,310,000 (2022)[12] | 41,450.38 |
300+ | Hamilton, Ontario | Canada | Error in Template:Nts: Fractions are not supported (2019)[7] | 795,410 (2019)[8] | Template:Per capita |
49 | Hangzhou | China | 248.721 (2021)[5] | 8,600,000 (2021)[77] | 28,921.05 |
282 | Hanoi | Vietnam | 42.04 (2019)[78] | 4,125,000 (2022)[12] | 10,191.52 |
142 | Harbin | China | 94.1 (2017)[25] | 5,300,000 (2022)[12] | 17,754.72 |
100 | Hefei | China | 141.135 (2019)[25] | 7,150,000 (2022)[12] | 19,739.16 |
211 | Hiroshima | Japan | 61.3 (2010)[79][76] | 1,870,000 (2022)[12] | 32,780.75 |
300+ | Hobart | Australia | 11.388 (2018–19)[14] | 232,670 (2020)[80] | 48,944.86 |
141 | Ho Chi Minh City | Vietnam | 96.399 (2022)[81] | 10,900,000 (2022)[12] | 8,843.90 |
29 | Hong Kong | Template:HKG | 382.854 (2023)[82] | 7,302,000(2023)[82] | 52,429.49 |
300+ | Hsinchu | Taiwan | 448,207 (2020)[83] | 85,627.85 | |
248 | Huhehaote | China | 49.62 (2015)[84] | 2,475,000 (2022)[12] | 20,048.48 |
300+ | Hyderabad | India | 74 (2016)[85] | 10,700,000 (2022)[12] | 6,915.89 |
300+ | Indore | India | 6.294(2016–17)[32] | 3,400,000 (2022)[12] | 1,851.18 |
50 | Istanbul | Turkey | 247.312 (2021)[5] | 16,500,000 (2022)[12] | 14,988.61 |
169 | Izmir | Turkey | 3,075,000 (2022)[12] | 26,036.10 | |
300+ | Jaipur | India | 15 (2021)[86] | 4,050,000 (2021)[21] | 3,703.70 |
33 | Jakarta | Indonesia | 308.25 (2021)[5] | 26,704,514 (2022)[12] | 11,542.99 |
89 | Jeddah-Mecca | Saudi Arabia | 7,550,000 (2022)[12] | 21,273.77 | |
259 | Jerusalem | Israel | 48.0 (2015)[87] | 1,030,000 (2022)[12] | 46,601.94 |
105 | Jinan | China | 132.933 (2018)[25] | 6,200,000 (2022)[12] | 21,440.81 |
176 | Johannesburg | South Africa | 76 (2014)[88] | 8,400,042 (2022)[12] | 9,047.57 |
300+ | Jundiaí | Template:Country data Mercosur Brazil | 20.081 (2011)[18] | 423,006 (2020)[89] | 47,472.14 |
300+ | Kabul | Afghanistan | 6 | 4,625,000 (2022)[12] | 1,297.30 |
300+ | Kagoshima | Japan | 1,126,639 (2015)[90] | 30,460.51 | |
117 | Kaohsiung | Taiwan | 2,775,000 (2022)[12] | 40,953.87 | |
64 | Karachi | Pakistan | 200.00 (2021)[91] | 14,910,352 (2022)[12] | 3,224.48 |
300+ | Kelowna | Canada | Error in Template:Nts: Fractions are not supported (2019)[7] | 218,600 (2019)[8] | Template:Per capita |
300+ | Kyiv | Ukraine | 27.5 (2020)[92] | 3,500,000 (2022)[12] | 7,857.00 |
300+ | Kingston, Ontario | Canada | Error in Template:Nts: Fractions are not supported (2019)[7] | 174,723 (2019)[8] | Template:Per capita |
300+ | Kitchener, Ontario | Canada | Error in Template:Nts: Fractions are not supported (2019)[7] | 581,607 (2019)[8] | Template:Per capita |
215 | Kolkata | India | 15,535,904 (2014)[93] | 3,890.79 | |
218 | Kuala Lumpur | Malaysia | 59.831 (2019)[63] | 9,100,000 (2022)[12] | 6,574.84 |
297 | Kumamoto | Japan | 39.8 (2010)[75][94] | 1,150,000 (2022)[12] | 34,608.70 |
183 | Kunming | China | 72.0 (2017)[25] | 6,000,000 (2022)[12] | 12,000.00 |
84 | Kuwait City | Kuwait | 4,325,000 (2022)[12] | 38,486.01 | |
178 | Lagos | Nigeria | 74.67 (2010)[95] | 20,700,000 (2022)[12] | 3,607.25 |
221 | Lahore | Pakistan | 93.408 (2021) | 13,900,000 (2022)[12] | 4,182.73 |
300+ | Launceston | Australia | 3.961 (2018–19)[14] | 110,500 (2021)[96] | 35,846.15 |
300+ | Leeds | United Kingdom | 37.1 (2020)[49][50] | 2,175,000 (2022)[12] | 17,057.47 |
300+ | Lethbridge | Canada | Error in Template:Nts: Fractions are not supported (2019)[7] | 126,927 (2019)[8] | Template:Per capita |
300+ | Lima | Peru | 11,400,000 (2022)[12] | 15,477.81 | |
252 | Liverpool | United Kingdom | 49.3 (2020)[49][50] | 1,880,000 (2022)[12] | 26,223.40 |
4 | London | United Kingdom | 978.402 (2021)[5] | 14,800,000 (2022)[12] | 66,108.24 |
300+ | London, Ontario | Canada | Error in Template:Nts: Fractions are not supported (2019)[7] | 542,155 (2019)[8] | Template:Per capita |
300+ | Lucknow | India | 7.68 (2019–20)[97] | 3,900,000 (2022)[12] | 1,969.23 |
300+ | Macau | Macau | 35.841 (2023)[82] | 709,000 (2023)[82] | 50,571.92 |
300+ | Mackay | Australia | 6.540 (2018–19)[14] | 80,148 (2018)[98] | 81,599.04 |
300+ | Manaus | Template:Country data Mercosur Brazil | 30.375 (2014)[99] | 2,275,000 (2022)[12] | 13,351.65 |
128 | Manchester | United Kingdom | 105.9 (2020)[100] | 3,100,000 (2022)[12] | 34,161.29 |
66 | Manila | Philippines | 192.6 (2018) | 26,400,000 (2022)[12] | 7,295.45 |
255 | Medellín | Colombia | 4,150,000 (2022)[12] | 10,472.77 | |
235 | Medan | Indonesia | 52.4 (2019)[101] | 4,075,000 (2022)[12] | 12,858.90 |
31 | Melbourne | Australia | 318.677 (2021)[5] | 5,150,000 (2022)[12] | 61,879.03 |
47 | Mexico City | Mexico | 250.455 (2021)[5] | 24,700,000 (2022)[12] | 10,139.88 |
300+ | Minsk | Belarus | 22 (2021)[102] | 2,000,000 (2022)[12] | 11,000.00 |
300+ | Monaco | Monaco | 6.816 (2020)[103] | 39,150 (2021)[104] | 174,099.62 |
300+ | Moncton | Canada | Error in Template:Nts: Fractions are not supported (2019)[7] | 155,891 (2019)[8] | Template:Per capita |
101 | Monterrey | Mexico | 140 (2015)[105] | 5,750,000 (2022)[12] | 24,347.83 |
246 | Montevideo | Template:Country data Mercosur Uruguay | 49.7 (2020)[106] | 1,870,000 (2022)[12] | 26,577.54 |
76 | Montreal | Canada | Error in Template:Nts: Fractions are not supported (2019)[7] | 4,334,308 (2019)[8] | Template:Per capita |
17 | Moscow | Russia | 504.808 (2021)[5] | 17,400,000 (2022)[12] | 29,011.95 |
300+ | Multan | Pakistan | 2,225,000 (2022)[12] | 7,831.46 | |
37 | Mumbai | India | 277.98 (2021)[5] | 26,100,000 (2022)[12] | 10,650.57 |
30 | Nagoya | Japan | 379.301 (2021)[5] | 10,500,000 (2022)[12] | 36,123.90 |
300+ | Nagpur | India | 18.4 (2019–20)[107] | 3,375,000 (2022)[12] | 5,451.85 |
300+ | Nairobi | Kenya | 14.8 (2019)[108] | 6,300,000 (2022)[12] | 2,349.21 |
179 | Nanchang | China | 74.1 (2017)[25] | 4,625,000 (2022)[12] | 16,021.62 |
43 | Nanjing | China | 253.57 (2021)[109] | 6,700,000 (2021)[110] | 37,846.27 |
233 | Nanning | China | 54.299 (2015)[111][112] | 7,765,411 (2015)[113] | 6,992.47 |
106 | Nantong | China | 126.405 (2018)[25] | 3,125,000 (2022)[12] | 40,449.60 |
300+ | Newcastle | Australia | 11.554 (2018–19)[14] | 322,278 (2016)[114] | 35,851.04 |
277 | Niigata | Japan | 43.3 (2010)[115][94] | 1,395,612 (2015)[90] | 31,025.82 |
54 | Ningbo | China | 233.479 (2022)[116] | 6,850,000 (2022)[12] | 34,084.53 |
207 | Okayama | Japan | 63.1 (2010)[75][94] | 2,175,000 (2022)[12] | 29,011.49 |
300+ | Orange | Australia | 3.204 (2018–19)[14] | 40,493 (2018)[71] | 79,124.79 |
8 | Osaka–Kobe | Japan | 699.474 (2021)[5] | 17,700,000 (2022)[12] | 39,518.31 |
300+ | Oshawa | Canada | Error in Template:Nts: Fractions are not supported (2019)[7] | 414,531 (2019)[8] | Template:Per capita |
184 | Oslo | Norway | 71.68 (2016)[117] | 1,220,000 (2022)[12] | 58,754.10 |
195 | Ottawa | Canada | Error in Template:Nts: Fractions are not supported (2019)[7] | 1,438,015 (2019)[8] | Template:Per capita |
300+ | Palembang | Indonesia | 16.6(2021)[118] | 1,720,000 (2022)[12] | 9,651.16 |
300+ | Patna | India | 12.635 (2011–12)[119] | 2,800,000 (2022)[12] | 4,512.50 |
118 | Perth | Australia | 111.056 (2018–19)[14] | 2,125,000 (2022)[12] | 52,261.65 |
300+ | Peterborough, Ontario | Canada | Error in Template:Nts: Fractions are not supported (2019)[7] | 130,993 (2019)[8] | Template:Per capita |
265 | Porto Alegre | Template:Country data Mercosur Brazil | 45.506 (2011)[18] | 4,175,000 (2022)[12] | 10,899.64 |
245 | Pretoria | South Africa | 2,921,488 (2011)[120] | 17,096.77 | |
300+ | Puebla | Mexico | 31.102 (2019)[121] | 4,100,000 (2022)[12] | 7,585.85 |
146 | Pune | India | 92 (2021)[41] | 7,350,000 (2022)[12] | 9,387.76 |
85 | Qingdao | China | 163.5 (2017)[25] | 7,050,000 (2022)[12] | 23,191.49 |
300+ | Quebec City | Canada | Error in Template:Nts: Fractions are not supported (2019)[7] | 825,234 (2019)[8] | Template:Per capita |
300+ | Recife | Template:Country data Mercosur Brazil | 22.81 (2014)[122] | 3,875,000 (2022)[12] | 5,886.45 |
300+ | Regina, Saskatchewan | Canada | Error in Template:Nts: Fractions are not supported (2019)[7] | 260,914 (2019)[8] | Template:Per capita |
61 | Rio de Janeiro | Template:Country data Mercosur Brazil | 209.366 (2011)[18] | 13,300,000 (2022)[12] | 15,741.80 |
86 | Riyadh | Saudi Arabia | 8,800,000 (2022)[12] | 18,576.82 | |
300+ | Rockhampton | Australia | 5.342 (2018–19)[14] | 78,592 (2018)[123] | 67,971.29 |
300+ | Saguenay, Quebec | Canada | Error in Template:Nts: Fractions are not supported (2019)[7] | 162,591 (2019)[8] | Template:Per capita |
300+ | St. Catharines–Niagara Falls | Canada | Error in Template:Nts: Fractions are not supported (2019)[7] | 433,955 (2019)[8] | Template:Per capita |
300+ | Saint John, New Brunswick | Canada | Error in Template:Nts: Fractions are not supported (2019)[7] | 131,089 (2019)[8] | Template:Per capita |
300+ | St. John's, Newfoundland and Labrador | Canada | Error in Template:Nts: Fractions are not supported (2019)[7] | 213,113 (2019)[8] | Template:Per capita |
165 | Saint Petersburg | Russia | 81.1 (2020)[124] | 5,600,000 (2022)[12] | 14,482.14 |
300+ | Salvador | Template:Country data Mercosur Brazil | 17.98 (2016)[125][126] | 3,650,000 (2022)[12] | 4,926.03 |
280 | San Juan | Puerto Rico | 1,990,000 (2022)[12] | 21,471.86 | |
300+ | San Marino | San Marino | 1.807 (2023)[82] | 34,000 (2023)[82] | 52,949.65 |
172 | Santiago | Chile | 77.307 (2009)[127] | 6,254,949 (2009)[128] | 23,359.33 |
300+ | Santos | Template:Country data Mercosur Brazil | 28.609 (2011)[18] | 1,770,000 (2022)[12] | 16,163.28 |
300+ | São José dos Campos | Template:Country data Mercosur Brazil | 30.148 (2011)[18] | 2,528,354 (2020)[129] | 11,923.96 |
300+ | São José dos Pinhais | Template:Country data Mercosur Brazil | 14.726 (2011)[18] | 329,058 (2020)[130] | 44,751.99 |
41 | São Paulo | Template:Country data Mercosur Brazil | 261.642 (2021)[5] | 22,700,000 (2022)[12] | 11,526.08 |
158 | Sapporo | Japan | 84.7 (2010)[75][94] | 2,500,000 (2022)[12] | 33,880.00 |
300+ | Saskatoon | Canada | Error in Template:Nts: Fractions are not supported (2019)[7] | 330,413 (2019)[8] | Template:Per capita |
286 | Semarang | Indonesia | 41.1 | 2,075,000 (2022)[12] | 19,807.23 |
210 | Sendai | Japan | 61.7 (2010)[75][76] | 1,510,000 (2022)[12] | 40,860.93 |
5 | Seoul | South Korea | 926.79 (2021)[5] | 24,800,000 (2022)[12] | 37,370.56 |
10 | Shanghai | China | 663.874 (2022)[131] | 24,890,116 (2022)[12] | 26,672.19 |
300+ | Shantou | China | 34.8 (2017)[132] | 7,950,000 (2022)[12] | 4,377.36 |
300+ | Sharjah | United Arab Emirates | 26.502 (2015)[133] | 1,785,684 (2022)[134] | 14,841.37 |
290 | Sheffield | United Kingdom | 40.6 (2020)[49][50] | 1,570,000 (2022)[12] | 25,859.87 |
143 | Shenyang | China | 93.9 (2019)[135] | 8,400,000 (2022)[12] | 11,178.57 |
21 | Shenzhen | China | 455.694 (2021)[5] | 14,678,000 (2021)[136] | 31,046.06 |
300+ | Sherbrooke | Canada | Error in Template:Nts: Fractions are not supported (2019)[7] | 221,325 (2019)[8] | Template:Per capita |
163 | Shijiazhuang | China | 81.252 (2018)[132] | 5,750,000 (2022)[12] | 14,130.78 |
300+ | Sunshine Coast | Australia | 13.813 (2018–19)[14] | 333,436 (2018)[137] | 41,426.24 |
219 | Surat | India | 59.8 (2017)[41] | 7,150,000 (2022)[12] | 8,363.64 |
263 | Shizuoka | Japan | 45.8 (2010)[75][94] | 1,130,000 (2022)[12] | 40,530.97 |
16 | Singapore | Singapore | 515.548 (2023)[82] | 5,659,000 (2023)[82] | 91,100.37 |
300+ | Sorocaba | Template:Country data Mercosur Brazil | 21.313 (2011)[18] | 1,898,000 (2020)[138] | 11,229.19 |
300+ | Greater Sudbury | Canada | Error in Template:Nts: Fractions are not supported (2019)[7] | 171,968 (2019)[8] | Template:Per capita |
149 | Surabaya | Indonesia | 88.8(2021)[139] | 5,850,000 (2022)[12] | 15,179.49 |
34 | Suzhou | China | 301.510 (2021)[5] | 5,103,000 (2021)[140] | 59,084.85 |
28 | Sydney | Australia | 398.037 (2021)[5] | 5,450,000 (2022)[12] | 73,034.31 |
116 | Taichung | Taiwan | 2,450,000 (2022)[12] | 46,816.73 | |
174 | Tainan | Taiwan | 1,310,000 (2022)[12] | 58,551.15 | |
25 | Taipei | Taiwan | 407.838 (2021)[5] | 9,078,000 (2022)[12] | 44,926.59 |
208 | Taiyuan | China | 5,550,000 (2022)[12] | 11,345.77 | |
300+ | Tangerang | Indonesia | 38.6 | 1,895,486 (2020)[141] | 20,364.17 |
139 | Tangshan | China | 96.716 (2018)[132] | 2,600,000 (2022)[12] | 37,198.46 |
152 | Taoyuan | Taiwan | 2,254,363 (2020)[83] | 38,495.13 | |
300+ | Tbilisi | Georgia | 8.0 (2017)[142] | 1,380,000 (2022)[12] | 5,797.10 |
68 | Tel Aviv | Israel | 188.42 (2022)[143] | 4,260,000 (2022)[143] | 44,230 |
300+ | Thunder Bay | Canada | Error in Template:Nts: Fractions are not supported (2019)[7] | 126,526 (2019)[8] | Template:Per capita |
51 | Tianjin | China | 235.664 (2021)[5] | 13,200,000 (2021)[144] | 17,853.33 |
300+ | Tokelau | Template:TKL | 0.009406225[145] | 1,499 (2016)[146] | 6,275.00 |
1 | Tokyo | Japan | 2,055.698 (2021)[5] | 40,700,000 (2022)[12] | 50,508.55 |
300+ | Toowoomba | Australia | 7.118 (2018–19)[14] | 136,861 (2018)[123] | 52,008.97 |
22 | Toronto | Canada | 452.492 (2021)[5] | 6,547,381 (2021)[8] | Template:Per capita |
300+ | Trois-Rivières | Canada | Error in Template:Nts: Fractions are not supported (2019)[7] | 160,902 (2019)[8] | Template:Per capita |
300+ | Townsville | Australia | 9.075 (2018–19)[14] | 180,820 (2018)[147] | 50,188.03 |
300+ | Uberlandia | Template:Country data Mercosur Brazil | 14.728 (2011)[18] | 699,097 (2020)[148] | 21,067.18 |
107 | Vancouver | Canada | Error in Template:Nts: Fractions are not supported (2019)[7] | 2,709,277 (2019)[8] | Template:Per capita |
300+ | Victoria, British Columbia | Canada | Error in Template:Nts: Fractions are not supported (2019)[7] | 403,466 (2019)[8] | Template:Per capita |
276 | Vishakhapatnam | India | 43.5 (2017)[41] | 2,300,000 (2022)[12] | 18,913.04 |
300+ | Vitória | Template:Country data Mercosur Brazil | 28.357 (2011)[18] | 1,900,000 (2022)[12] | 14,924.74 |
300+ | Wagga Wagga | Australia | 4.392 (2018–19)[14] | 56,442 (2018)[71] | 77,814.39 |
109 | Wenzhou | China | 119.2 (2022)[149] | 5,050,000 (2022)[12] | 23,603.96 |
300+ | Windsor, Ontario | Canada | Error in Template:Nts: Fractions are not supported (2019)[7] | 352,538 (2019)[8] | Template:Per capita |
300+ | Winnipeg | Canada | Error in Template:Nts: Fractions are not supported (2019)[7] | 844,331 (2019)[8] | Template:Per capita |
300+ | Wollongong | Australia | 5.624 (2018–19)[14] | 309,345 (2020)[150] | 18,180.35 |
38 | Wuhan | China | 274.68 (2021)(8th) [151] | 9,250,000 (2021)[152] | 29,695.14 |
251 | Wulumuqi | China | 49.4 (2019)[153] | 3,575,000 (2017)[154] | 13,818.18 |
93 | Wuxi | China | 155.7 (2017)[25] | 6,553,000 (2017) | 23,760.11 |
145 | Xiamen | China | 92.554 (2020)[25] | 14,100,000 (2022)[12] | 6,564.11 |
96 | Xian | China | 154.2 (2020)[25] | 11,600,000 (2022)[12] | 13,293.10 |
137 | Xuzhou | China | 97.8 (2017)[25] | 3,050,000 (2022)[12] | 32,065.57 |
123 | Yantai | China | 108.7 (2017)[25] | 2,450,000 (2022)[12] | 44,367.35 |
300+ | Yerevan | Armenia | 5.23 (2018)[155] | 1,510,000 (2022)[12] | 3,463.58 |
99 | Zhengzhou | China | 144 (2018)[25] | 8,950,000 (2022)[12] | 16,089.39 |
239 | Zhongshan | China | 51.1 (2017)[25] | 4,418,060 (2020)[156] | 11,566.16 |
300+ | Zhuhai | China | 38.0 (2017)[25] | 2,325,000 (2022)[12] | 16,344.09 |
186 | Zibo | China | 70.8 (2017)[25] | 3,725,000 (2022)[12] | 19,006.71 |
300+ | Midland, TX MSA | United States | 39.497 (2021)[157] | 173,180 (2021)[158] | 228,069 |
24 | San Jose-Sunnyvale-Santa Clara, CA MSA | United States | 410.418 (2021)[157] | 1,952,185 (2021)[158] | 210,235 |
9 | San Francisco-Oakland-Berkeley, CA MSA | United States | 668.677 (2021)[157] | 4,623,264 (2021)[158] | 144,633 |
18 | Seattle-Tacoma-Bellevue, WA MSA | United States | 479.966 (2021)[157] | 4,011,553 (2021)[158] | 119,646 |
273 | Trenton-Princeton, NJ MSA | United States | 43.633 (2021)[157] | 385,898 (2021)[158] | 113,069 |
15 | Boston-Cambridge-Newton, MA-NH MSA | United States | 531.671 (2021)[157] | 4,899,932 (2021)[158] | 108,506 |
135 | Bridgeport-Stamford-Norwalk, CT MSA | United States | 98.751 (2021)[157] | 959,768 (2021)[158] | 102,890 |
2 | New York-Newark-Jersey City, NY-NJ-PA Metropolitan Statistical Area | United States | 1,992.779 (2021)[157] | 19,768,458 (2021)[158] | 100,806 |
300+ | Boulder, CO MSA | United States | 33.182 (2021)[157] | 329,543 (2021)[158] | 100,691 |
12 | Washington-Arlington-Alexandria, DC-VA-MD-WV MSA | United States | 607.628 (2021)[157] | 6,356,434 (2021)[158] | 95,593 |
113 | Salt Lake City, UT MSA | United States | 118.494 (2021)[157] | 1,263,061 (2021)[158] | 93,815 |
214 | Durham-Chapel Hill, NC MSA | United States | 60.814 (2021)[157] | 654,012 (2021)[158] | 92,986 |
300+ | Sioux Falls, SD MSA | United States | 26.063 (2021)[157] | 281,958 (2021)[158] | 92,436 |
300+ | Bloomington, IL MSA | United States | 15.140 (2021)[157] | 170,889 (2021)[158] | 88,596 |
300+ | Lima, OH MSA | United States | 8.962 (2021)[157] | 101,670 (2021)[158] | 88,148 |
127 | Hartford-East Hartford-Middletown, CT MSA | United States | 106.507 (2021)[157] | 1,211,906 (2021)[158] | 87,884 |
300+ | Columbus, IN MSA | United States | 7.205 (2021)[157] | 82,475 (2021)[158] | 87,360 |
3 | Los Angeles-Long Beach-Anaheim, CA MSA | United States | 1,124.682 (2021)[157] | 12,997,353 (2021)[158] | 86,532 |
44 | Denver-Aurora-Lakewood, CO MSA | United States | 253.399 (2021)[157] | 2,972,566 (2021)[158] | 85,246 |
213 | Des Moines-West Des Moines, IA MSA | United States | 61.171 (2021)[157] | 719,146 (2021)[158] | 85,061 |
300+ | Elkhart-Goshen, IN MSA | United States | 17.529 (2021)[157] | 206,921 (2021)[158] | 84,713 |
224 | Madison, WI MSA | United States | 56.636 (2021)[157] | 683,183 (2021)[158] | 82,900 |
65 | Austin-Round Rock-Georgetown, TX MSA | United States | 193.773 (2021)[157] | 2,352,426 (2021)[158] | 82,372 |
180 | Albany-Schenectady-Troy, NY MSA | United States | 73.995 (2021)[157] | 899,286 (2021)[158] | 82,282 |
300+ | Wheeling, WV-OH MSA | United States | 11.239 (2021)[157] | 137,740 (2021)[158] | 81,596 |
40 | San Diego-Chula Vista-Carlsbad, CA MSA | United States | 267.973 (2021)[157] | 3,286,069 (2021)[158] | 81,548 |
87 | Nashville-Davidson–Murfreesboro–Franklin, TN MSA | United States | 163.031 (2021)[157] | 2,012,476 (2021)[158] | 81,010 |
35 | Minneapolis-St. Paul-Bloomington, MN-WI MSA | United States | 296.969 (2021)[157] | 3,690,512 (2021)[158] | 80,468 |
7 | Chicago-Naperville-Elgin, IL-IN-WI MSA | United States | 764.583 (2021)[157] | 9,509,934 (2021)[158] | 80,398 |
300+ | Dubuque, IA MSA | United States | 7.840 (2021)[157] | 98,718 (2021)[158] | 79,418 |
56 | Baltimore-Columbia-Towson, MD MSA | United States | 222.967 (2021)[157] | 2,838,327 (2021)[158] | 78,556 |
300+ | Manchester-Nashua, NH MSA | United States | 32.729 (2021)[157] | 424,079 (2021)[158] | 77,177 |
20 | Atlanta-Sandy Springs-Alpharetta, GA MSA | United States | 473.823 (2021)[157] | 6,144,050 (2021)[158] | 77,119 |
13 | Dallas-Fort Worth-Arlington, TX MSA | United States | 598.333 (2021)[157] | 7,759,615 (2021)[158] | 77,109 |
63 | Charlotte-Concord-Gastonia, NC-SC MSA | United States | 207.866 (2021)[157] | 2,701,046 (2021)[158] | 76,958 |
300+ | Decatur, IL MSA | United States | 7.856 (2021)[157] | 102,432 (2021)[158] | 76,695 |
19 | Philadelphia-Camden-Wilmington, PA-NJ-DE-MD MSA | United States | 477.580 (2021)[157] | 6,228,601 (2021)[158] | 76,675 |
88 | Indianapolis-Carmel-Anderson, IN MSA | United States | 162.062 (2021)[157] | 2,126,804 (2021)[158] | 76,200 |
181 | Omaha-Council Bluffs, NE-IA MSA | United States | 73.876 (2021)[157] | 971,637 (2021)[158] | 76,033 |
80 | Cincinnati, OH-KY-IN MSA | United States | 171.737 (2021)[157] | 2,259,935 (2021)[158] | 75,992 |
300+ | Lake Charles, LA MSA | United States | 15.791 (2021)[157] | 210,362 (2021)[158] | 75,066 |
124 | Raleigh-Cary, NC MSA | United States | 108.288 (2021)[157] | 1,448,411 (2021)[158] | 74,763 |
300+ | California-Lexington Park, MD MSA | United States | 8.554 (2021)[157] | 114,468 (2021)[158] | 74,728 |
300+ | Santa Maria-Santa Barbara, CA MSA | United States | 33.306 (2021)[157] | 446,475 (2021)[158] | 74,598 |
14 | Houston-The Woodlands-Sugar Land, TX MSA | United States | 537.066 (2021)[157] | 7,206,841 (2021)[158] | 74,522 |
71 | Portland-Vancouver-Hillsboro, OR-WA MSA | United States | 186.570 (2021)[157] | 2,511,612 (2021)[158] | 74,283 |
300+ | Casper, WY MSA | United States | 5.887 (2021)[157] | 79,555 (2021)[158] | 73,999 |
300+ | Napa, CA MSA | United States | 10.062 (2021)[157] | 136,207 (2021)[158] | 73,873 |
271 | Harrisburg-Carlisle, PA MSA | United States | 43.867 (2021)[157] | 596,305 (2021)[158] | 73,565 |
300+ | Vallejo, CA MSA | United States | 33.100 (2021)[157] | 451,716 (2021)[158] | 73,276 |
94 | Columbus, OH MSA | United States | 154.509 (2021)[157] | 2,151,017 (2021)[158] | 71,831 |
300+ | Carson City, NV MSA | United States | 4.225 (2021)[157] | 58,993 (2021)[158] | 71,619 |
82 | Pittsburgh, PA MSA | United States | 168.021 (2021)[157] | 2,353,538 (2021)[158] | 71,391 |
300+ | Reno, NV MSA | United States | 35.471 (2021)[157] | 497,535 (2021)[158] | 71,293 |
300+ | Santa Rosa-Petaluma, CA MSA | United States | 34.450 (2021)[157] | 485,887 (2021)[158] | 70,901 |
300+ | Charlottesville, VA MSA | United States | 15.762 (2021)[157] | 222,688 (2021)[158] | 70,781 |
300+ | Odessa, TX MSA | United States | 11.399 (2021)[157] | 161,091 (2021)[158] | 70,761 |
300+ | Anchorage, AK MSA | United States | 28.210 (2021)[157] | 398,807 (2021)[158] | 70,736 |
262 | Syracuse, NY MSA | United States | 46.414 (2021)[157] | 658,281 (2021)[158] | 70,508 |
300+ | Salinas, CA MSA | United States | 30.712 (2021)[157] | 437,325 (2021)[158] | 70,227 |
300+ | Fargo, ND-MN MSA | United States | 17.706 (2021)[157] | 252,136 (2021)[158] | 70,224 |
300+ | Portland-South Portland, ME MSA | United States | 39.089 (2021)[157] | 556,893 (2021)[158] | 70,191 |
95 | Kansas City, MO-KS MSA | United States | 154.328 (2021)[157] | 2,199,490 (2021)[158] | 70,165 |
220 | Oxnard-Thousand Oaks-Ventura, CA MSA | United States | 58.332 (2021)[157] | 839,784 (2021)[158] | 69,461 |
300+ | Burlington-South Burlington, VT MSA | United States | 15.669 (2021)[157] | 226,611 (2021)[158] | 69,145 |
23 | Miami-Fort Lauderdale-Pompano Beach, FL MSA | United States | 417.147 (2021)[157] | 6,091,747 (2021)[158] | 68,477 |
300+ | Kankakee, IL MSA | United States | 7.282 (2021)[157] | 106,601 (2021)[158] | 68,311 |
300+ | San Angelo, TX MSA | United States | 8.299 (2021)[157] | 122,344 (2021)[158] | 67,833 |
300+ | Huntsville, AL MSA | United States | 34.086 (2021)[157] | 502,728 (2021)[158] | 67,802 |
300+ | Fairbanks, AK MSA | United States | 6.477 (2021)[157] | 95,593 (2021)[158] | 67,756 |
300+ | Sioux City, IA-NE-SD MSA | United States | 10.111 (2021)[157] | 149,265 (2021)[158] | 67,739 |
300+ | Wausau-Weston, WI MSA | United States | 11.250 (2021)[157] | 166,189 (2021)[158] | 67,694 |
300+ | Evansville, IN-KY MSA | United States | 21.248 (2021)[157] | 313,946 (2021)[158] | 67,680 |
300+ | Iowa City, IA MSA | United States | 11.989 (2021)[157] | 177,239 (2021)[158] | 67,643 |
300+ | Oshkosh-Neenah, WI MSA | United States | 11.586 (2021)[157] | 171,623 (2021)[158] | 67,508 |
300+ | Santa Cruz-Watsonville, CA MSA | United States | 18.076 (2021)[157] | 267,792 (2021)[158] | 67,500 |
194 | Urban Honolulu, HI MSA | United States | 67.383 (2021)[157] | 1,000,890 (2021)[158] | 67,323 |
300+ | Ithaca, NY MSA | United States | 7.044 (2021)[157] | 105,162 (2021)[158] | 66,982 |
69 | St. Louis, MO-IL MSA | United States | 187.569 (2021)[157] | 2,809,299 (2021)[158] | 66,767 |
300+ | Green Bay, WI MSA | United States | 21.991 (2021)[157] | 329,490 (2021)[158] | 66,743 |
300+ | Waterloo-Cedar Falls, IA MSA | United States | 11.197 (2021)[157] | 167,796 (2021)[158] | 66,730 |
223 | New Haven-Milford, CT MSA | United States | 57.541 (2021)[157] | 863,700 (2021)[158] | 66,622 |
90 | Sacramento-Roseville-Folsom, CA MSA | United States | 160.542 (2021)[157] | 2,411,428 (2021)[158] | 66,575 |
300+ | Appleton, Wisconsin metropolitan area | United States | 16.202 (2021)[157] | 244,084 (2021)[158] | 66,379 |
173 | Buffalo-Niagara Falls, NY MSA | United States | 76.991 (2021)[157] | 1,162,336 (2021)[158] | 66,238 |
300+ | Sheboygan, WI MSA | United States | 7.747 (2021)[157] | 117,747 (2021)[158] | 65,794 |
300+ | Lincoln, NE MSA | United States | 22.492 (2021)[157] | 342,117 (2021)[158] | 65,744 |
300+ | Ocean City, NJ MSA | United States | 6.279 (2021)[157] | 95,661 (2021)[158] | 65,638 |
300+ | Cheyenne, WY MSA | United States | 6.608 (2021)[157] | 100,863 (2021)[158] | 65,515 |
300+ | Gainesville, GA MSA | United States | 13.561 (2021)[157] | 207,369 (2021)[158] | 65,396 |
300+ | Barnstable Town, MA MSA | United States | 15.150 (2021)[157] | 232,411 (2021)[158] | 65,186 |
36 | Detroit-Warren-Dearborn, MI Metropolitan Statistical Area | United States | 283.660 (2021)[157] | 4,365,205 (2021)[158] | 64,982 |
300+ | Greeley, CO MSA | United States | 22.082 (2021)[157] | 340,036 (2021)[158] | 64,940 |
162 | New Orleans-Metairie, LA MSA | United States | 81.829 (2021)[157] | 1,261,726 (2021)[158] | 64,855 |
154 | Memphis, TN-MS-AR MSA | United States | 86.493 (2021)[157] | 1,336,103 (2021)[158] | 64,735 |
300+ | Ann Arbor, MI MSA | United States | 23.859 (2021)[157] | 369,390 (2021)[158] | 64,590 |
161 | Louisville/Jefferson County, KY-IN MSA | United States | 82.866 (2021)[157] | 1,284,566 (2021)[158] | 64,509 |
300+ | Davenport-Moline-Rock Island, IA-IL MSA | United States | 24.603 (2021)[157] | 381,568 (2021)[158] | 64,479 |
226 | Baton Rouge, LA MSA | United States | 56.199 (2021)[157] | 871,905 (2021)[158] | 64,455 |
300+ | Crestview-Fort Walton Beach-Destin, FL MSA | United States | 18.899 (2021)[157] | 293,324 (2021)[158] | 64,430 |
300+ | Grand Island, NE MSA | United States | 4.871 (2021)[157] | 76,175 (2021)[158] | 63,945 |
189 | Rochester, NY MSA | United States | 69.341 (2021)[157] | 1,084,973 (2021)[158] | 63,910 |
32 | Phoenix-Mesa-Chandler, AZ MSA | United States | 316.090 (2021)[157] | 4,946,145 (2021)[158] | 63,906 |
185 | Birmingham-Hoover, AL MSA | United States | 70.874 (2021)[157] | 1,114,262 (2021)[158] | 63,606 |
300+ | Lexington-Fayette, KY MSA | United States | 32.851 (2021)[157] | 517,846 (2021)[158] | 63,438 |
300+ | Norwich-New London, CT MSA | United States | 17.008 (2021)[157] | 268,805 (2021)[158] | 63,273 |
300+ | Kahului-Wailuku-Lahaina, HI MSA | United States | 10.356 (2021)[157] | 164,221 (2021)[158] | 63,061 |
300+ | Greenville, NC MSA | United States | 10.841 (2021)[157] | 172,169 (2021)[158] | 62,967 |
293 | Toledo, OH MSA | United States | 40.546 (2021)[157] | 644,217 (2021)[158] | 62,938 |
300+ | Springfield, IL MSA | United States | 13.019 (2021)[157] | 206,898 (2021)[158] | 62,925 |
191 | Grand Rapids-Kentwood, MI MSA | United States | 68.401 (2021)[157] | 1,091,620 (2021)[158] | 62,660 |
291 | Wichita, KS MSA | United States | 40.586 (2021)[157] | 647,919 (2021)[158] | 62,641 |
300+ | Savannah, GA MSA | United States | 25.681 (2021)[157] | 410,008 (2021)[158] | 62,635 |
300+ | Wilmington, NC MSA | United States | 18.203 (2021)[157] | 291,833 (2021)[158] | 62,375 |
242 | Charleston-North Charleston, SC MSA | United States | 50.704 (2021)[157] | 813,052 (2021)[158] | 62,363 |
300+ | Naples-Marco Island, FL MSA | United States | 24.020 (2021)[157] | 385,980 (2021)[158] | 62,231 |
83 | Orlando-Kissimmee-Sanford, FL MSA | United States | 167.279 (2021)[157] | 2,691,925 (2021)[158] | 62,141 |
300+ | Shreveport-Bossier City, LA MSA | United States | 24.153 (2021)[157] | 389,155 (2021)[158] | 62,065 |
133 | Jacksonville, FL MSA | United States | 101.367 (2021)[157] | 1,637,666 (2021)[158] | 61,897 |
300+ | State College, PA MSA | United States | 9.750 (2021)[157] | 157,527 (2021)[158] | 61,894 |
300+ | Billings, MT MSA | United States | 11.570 (2021)[157] | 187,037 (2021)[158] | 61,859 |
300+ | Beaumont-Port Arthur, TX MSA | United States | 24.407 (2021)[157] | 395,419 (2021)[158] | 61,724 |
300+ | Bend, OR MSA | United States | 12.618 (2021)[157] | 204,801 (2021)[158] | 61,611 |
300+ | Bismarck, ND MSA | United States | 8.243 (2021)[157] | 134,417 (2021)[158] | 61,324 |
300+ | Cedar Rapids, IA MSA | United States | 16.853 (2021)[157] | 275,435 (2021)[158] | 61,187 |
166 | Richmond, VA MSA | United States | 80.909 (2021)[157] | 1,324,062 (2021)[158] | 61,107 |
300+ | Morgantown, WV MSA | United States | 8.597 (2021)[157] | 140,745 (2021)[158] | 61,082 |
300+ | Idaho Falls, ID MSA | United States | 9.915 (2021)[157] | 162,786 (2021)[158] | 60,908 |
300+ | St. Cloud, MN MSA | United States | 12.202 (2021)[157] | 200,406 (2021)[158] | 60,886 |
300+ | Amarillo, TX MSA | United States | 16.313 (2021)[157] | 269,703 (2021)[158] | 60,485 |
300+ | Weirton-Steubenville, WV-OH MSA | United States | 6.966 (2021)[157] | 115,585 (2021)[158] | 60,267 |
153 | Oklahoma City, OK MSA | United States | 86.662 (2021)[157] | 1,441,647 (2021)[158] | 60,113 |
300+ | Ames, IA MSA | United States | 7.583 (2021)[157] | 126,195 (2021)[158] | 60,090 |
300+ | Wenatchee, WA MSA | United States | 7.403 (2021)[157] | 123,342 (2021)[158] | 60,020 |
300+ | Watertown-Fort Drum, NY MSA | United States | 6.972 (2021)[157] | 116,295 (2021)[158] | 59,951 |
300+ | Pittsfield, MA MSA | United States | 7.682 (2021)[157] | 128,657 (2021)[158] | 59,709 |
300+ | Longview, TX MSA | United States | 17.134 (2021)[157] | 287,868 (2021)[158] | 59,520 |
300+ | Eau Claire, WI MSA | United States | 10.308 (2021)[157] | 173,317 (2021)[158] | 59,475 |
300+ | Jefferson City, MO MSA | United States | 8.956 (2021)[157] | 150,706 (2021)[158] | 59,427 |
300+ | Mankato, MN MSA | United States | 6.157 (2021)[157] | 173,317 (2021)[158] | 59,424 |
103 | Las Vegas-Henderson-Paradise, NV MSA | United States | 136.198 (2021)[157] | 2,292,476 (2021)[158] | 59,411 |
126 | Virginia Beach-Norfolk-Newport News, VA-NC MSA | United States | 107.067 (2021)[157] | 1,803,328 (2021)[158] | 59,372 |
300+ | Champaign-Urbana, IL MSA | United States | 13.219 (2021)[157] | 222,696 (2021)[158] | 59,359 |
144 | Milwaukee-Waukesha, WI MSA | United States | 92.834 (2021)[157] | 1,566,487 (2021)[158] | 59,263 |
300+ | Peoria, IL MSA | United States | 23.599 (2021)[157] | 398,224 (2021)[158] | 59,261 |
300+ | Bloomsburg-Berwick, PA MSA | United States | 4.916 (2021)[157] | 82,959 (2021)[158] | 59,258 |
67 | Tampa-St. Petersburg-Clearwater, FL MSA | United States | 190.708 (2021)[157] | 3,219,514 (2021)[158] | 59,235 |
300+ | Fayetteville-Springdale-Rogers, AR MSA | United States | 33.102 (2021)[157] | 560,709 (2021)[158] | 59,036 |
300+ | Corpus Christi, TX MSA | United States | 24.937 (2021)[157] | 422,778 (2021)[158] | 58,984 |
216 | Tulsa, OK MSA | United States | 60.392 (2021)[157] | 1,023,988 (2021)[158] | 58,977 |
300+ | Rochester, MN MSA | United States | 13.390 (2021)[157] | 227,151 (2021)[158] | 58,948 |
108 | Cleveland-Elyria, OH MSA | United States | 122.275 (2021)[157] | 2,075,662 (2021)[158] | 58,909 |
240 | Allentown-Bethlehem-Easton, PA-NJ MSA | United States | 50.960 (2021)[157] | 865,310 (2021)[158] | 58,892 |
300+ | Glens Falls, NY MSA | United States | 7.446 (2021)[157] | 126,574 (2021)[158] | 58,827 |
300+ | Salisbury, MD-DE MSA | United States | 25.194 (2021)[157] | 429,223 (2021)[158] | 58,697 |
300+ | Harrisonburg, VA MSA | United States | 7.972 (2021)[157] | 135,824 (2021)[158] | 58,694 |
287 | Akron, OH MSA | United States | 41.058 (2021)[157] | 700,015 (2021)[158] | 58,653 |
300+ | Mount Vernon-Anacortes, WA MSA | United States | 7.659 (2021)[157] | 130,696 (2021)[158] | 58,602 |
236 | Knoxville, TN MSA | United States | 52.343 (2021)[157] | 893,412 (2021)[158] | 58,588 |
300+ | College Station-Bryan, TX MSA | United States | 15.896 (2021)[157] | 272,041 (2021)[158] | 58,432 |
300+ | Manhattan, KS MSA | United States | 7.818 (2021)[157] | 133,932 (2021)[158] | 58,373 |
300+ | Flagstaff, AZ MSA | United States | 8.444 (2021)[157] | 145,052 (2021)[158] | 58,214 |
300+ | Walla Walla, WA MSA | United States | 3.642 (2021)[157] | 62,682 (2021)[158] | 58,103 |
300+ | Winchester, VA-WV MSA | United States | 8.419 (2021)[157] | 145,155 (2021)[158] | 58,000 |
138 | Providence-Warwick, RI-MA MSA | United States | 96.913 (2021)[157] | 1,675,774 (2021)[158] | 57,832 |
300+ | Kennewick-Richland, WA MSA | United States | 17.826 (2021)[157] | 308,293 (2021)[158] | 57,822 |
300+ | Williamsport, PA MSA | United States | 6.562 (2021)[157] | 113,605 (2021)[158] | 57,762 |
300+ | Midland, MI MSA | United States | 4.807 (2021)[157] | 83,457 (2021)[158] | 57,599 |
256 | Columbia, SC MSA | United States | 48.214 (2021)[157] | 838,250 (2021)[158] | 57,517 |
300+ | Bellingham, WA MSA | United States | 13.143 (2021)[157] | 228,831 (2021)[158] | 57,435 |
300+ | Panama City, FL MSA | United States | 10.269 (2021)[157] | 300+,168 (2021)[158] | 57,315 |
275 | Colorado Springs, CO MSA | United States | 43.522 (2021)[157] | 762,793 (2021)[158] | 57,056 |
238 | Bakersfield, CA MSA | United States | 52.293 (2021)[157] | 917,673 (2021)[158] | 56,984 |
281 | Little Rock-North Little Rock-Conway, AR MSA | United States | 42.669 (2021)[157] | 750,936 (2021)[158] | 56,821 |
300+ | Missoula, MT MSA | United States | 6.780 (2021)[157] | 119,533 (2021)[158] | 56,721 |
300+ | Columbia, MO MSA | United States | 12.077 (2021)[157] | 213,123 (2021)[158] | 56,667 |
300+ | Winston-Salem, NC MSA | United States | 38.504 (2021)[157] | 681,438 (2021)[158] | 56,504 |
300+ | Battle Creek, MI MSA | United States | 7.528 (2021)[157] | 133,819 (2021)[158] | 56,255 |
229 | Worcester, MA-CT MSA | United States | 54.941 (2021)[157] | 978,447 (2021)[158] | 56,151 |
300+ | San Luis Obispo-Paso Robles, CA MSA | United States | 15.899 (2021)[157] | 283,159 (2021)[158] | 56,149 |
300+ | Fort Collins, CO MSA | United States | 20.344 (2021)[157] | 362,533 (2021)[158] | 56,116 |
300+ | Lafayette-West Lafayette, IN MSA | United States | 12.537 (2021)[157] | 224,709 (2021)[158] | 55,792 |
300+ | Mobile, AL MSA | United States | 23.876 (2021)[157] | 428,220 (2021)[158] | 55,756 |
300+ | Fond du Lac, WI MSA | United States | 5.817 (2021)[157] | 104,362 (2021)[158] | 55,739 |
300+ | St. Joseph, MO-KS MSA | United States | 6.700 (2021)[157] | 120,424 (2021)[158] | 55,637 |
237 | Greenville-Anderson, SC MSA | United States | 52.328 (2021)[157] | 940,774 (2021)[158] | 55,622 |
98 | San Antonio-New Braunfels, TX MSA | United States | 144.384 (2021)[157] | 2,601,788 (2021)[158] | 55,494 |
300+ | Altoona, PA MSA | United States | 6.736 (2021)[157] | 121,767 (2021)[158] | 55,319 |
300+ | Florence, SC MSA | United States | 11.018 (2021)[157] | 199,259 (2021)[158] | 55,295 |
300+ | Niles, MI MSA | United States | 8.455 (2021)[157] | 153,101 (2021)[158] | 55,225 |
300+ | El Centro, CA MSA | United States | 9.912 (2021)[157] | 300+,851 (2021)[158] | 55,112 |
274 | Boise, ID MSA | United States | 43.601 (2021)[157] | 795,268 (2021)[158] | 54,826 |
300+ | Tyler, TX MSA | United States | 13.002 (2021)[157] | 237,186 (2021)[158] | 54,818 |
300+ | Duluth, MN-WI MSA | United States | 15.905 (2021)[157] | 290,780 (2021)[158] | 54,698 |
300+ | Corvallis, OR MSA | United States | 5.242 (2021)[157] | 96,017 (2021)[158] | 54,594 |
300+ | Olympia-Lacey-Tumwater, WA MSA | United States | 16.245 (2021)[157] | 297,977 (2021)[158] | 54,518 |
300+ | La Crosse-Onalaska, WI-MN MSA | United States | 7.568 (2021)[157] | 139,211 (2021)[158] | 54,364 |
300+ | Lansing-East Lansing, MI MSA | United States | 29.363 (2021)[157] | 540,281 (2021)[158] | 54,348 |
300+ | Rocky Mount, NC MSA | United States | 7.799 (2021)[157] | 143,535 (2021)[158] | 54,335 |
300+ | Longview, WA MSA | United States | 6.047 (2021)[157] | 111,524 (2021)[158] | 54,222 |
300+ | Spokane-Spokane Valley, WA MSA | United States | 32.178 (2021)[157] | 593,466 (2021)[158] | 54,220 |
300+ | Dover, DE MSA | United States | 9.984 (2021)[157] | 184,149 (2021)[158] | 54,217 |
300+ | Jackson, TN MSA | United States | 9.779 (2021)[157] | 180,799 (2021)[158] | 54,088 |
300+ | Waco, TX MSA | United States | 15.125 (2021)[157] | 280,428 (2021)[158] | 53,935 |
250 | Albuquerque, NM MSA | United States | 49.480 (2021)[157] | 918,259 (2021)[158] | 53,885 |
300+ | Gainesville, FL MSA | United States | 18.353 (2021)[157] | 341,756 (2021)[158] | 53,702 |
300+ | Kokomo, IN MSA | United States | 4.488 (2021)[157] | 83,687 (2021)[158] | 53,628 |
300+ | Hinesville, GA MSA | United States | 4.427 (2021)[157] | 82,863 (2021)[158] | 53,426 |
300+ | Spartanburg, SC MSA | United States | 17.914 (2021)[157] | 335,864 (2021)[158] | 53,337 |
300+ | Rapid City, SD MSA | United States | 7.565 (2021)[157] | 141,979 (2021)[158] | 53,283 |
300+ | Charleston, WV MSA | United States | 13.553 (2021)[157] | 255,020 (2021)[158] | 53,145 |
300+ | Athens-Clarke County, GA MSA | United States | 11.562 (2021)[157] | 217,759 (2021)[158] | 53,095 |
300+ | Owensboro, KY MSA | United States | 6.434 (2021)[157] | 121,227 (2021)[158] | 53,074 |
300+ | Scranton–Wilkes-Barre, PA MSA | United States | 30.040 (2021)[157] | 567,750 (2021)[158] | 52,911 |
300+ | Provo-Orem, UT MSA | United States | 36.866 (2021)[157] | 697,141 (2021)[158] | 52,882 |
300+ | New Bern, NC MSA | United States | 6.436 (2021)[157] | 122,273 (2021)[158] | 52,636 |
300+ | South Bend-Mishawaka, IN-MI MSA | United States | 17.031 (2021)[157] | 323,695 (2021)[158] | 52,614 |
300+ | Montgomery, AL MSA | United States | 20.250 (2021)[157] | 385,798 (2021)[158] | 52,489 |
300+ | Jackson, MS MSA | United States | 30.785 (2021)[157] | 587,202 (2021)[158] | 52,427 |
300+ | Bremerton-Silverdale-Port Orchard, WA MSA | United States | 14.373 (2021)[157] | 274,314 (2021)[158] | 52,396 |
300+ | Tallahassee, FL MSA | United States | 20.148 (2021)[157] | 385,776 (2021)[158] | 52,227 |
268 | North Port-Sarasota-Bradenton, FL MSA | United States | 44.746 (2021)[157] | 859,760 (2021)[158] | 52,045 |
300+ | Janesville-Beloit, WI MSA | United States | 8.530 (2021)[157] | 164,381 (2021)[158] | 51,892 |
300+ | Victoria, TX MSA | United States | 5.082 (2021)[157] | 98,127 (2021)[158] | 51,790 |
300+ | Redding, CA MSA | United States | 9.419 (2021)[157] | 182,139 (2021)[158] | 51,713 |
300+ | Asheville, NC MSA | United States | 24.350 (2021)[157] | 472,341 (2021)[158] | 51,552 |
300+ | Augusta-Richmond County, GA-SC MSA | United States | 31.718 (2021)[157] | 615,933 (2021)[158] | 51,496 |
300+ | Reading, PA MSA | United States | 22.055 (2021)[157] | 429,342 (2021)[158] | 51,369 |
300+ | Bloomington, IN MSA | United States | 8.272 (2021)[157] | 161,321 (2021)[158] | 51,277 |
300+ | York-Hanover, PA MSA | United States | 23.406 (2021)[157] | 458,696 (2021)[158] | 51,027 |
300+ | Elmira, NY MSA | United States | 4.230 (2021)[157] | 83,045 (2021)[158] | 50,936 |
300+ | Laredo, TX MSA | United States | 13.581 (2021)[157] | 267,945 (2021)[158] | 50,686 |
300+ | Gulfport-Biloxi, MS MSA | United States | 21.177 (2021)[157] | 418,082 (2021)[158] | 50,653 |
300+ | Utica-Rome, NY MSA | United States | 14.678 (2021)[157] | 290,211 (2021)[158] | 50,577 |
300+ | Rockford, IL MSA | United States | 17.005 (2021)[157] | 336,278 (2021)[158] | 50,568 |
285 | Dayton, OH MSA | United States | 41.111 (2021)[157] | 813,516 (2021)[158] | 50,535 |
300+ | Macon-Bibb County, GA MSA | United States | 11.818 (2021)[157] | 233,883 (2021)[158] | 50,530 |
296 | Cape Coral-Fort Myers, FL MSA | United States | 39.813 (2021)[157] | 787,976 (2021)[158] | 50,526 |
300+ | Lubbock, TX MSA | United States | 16.402 (2021)[157] | 325,245 (2021)[158] | 50,430 |
300+ | Dothan, AL MSA | United States | 7.636 (2021)[157] | 151,618 (2021)[158] | 50,363 |
300+ | Canton-Massillon, OH MSA | United States | 20.167 (2021)[157] | 400,525 (2021)[158] | 50,351 |
300+ | Twin Falls, Idaho | United States | 5.878 (2021)[157] | 116,905 (2021)[158] | 50,280 |
300+ | Fort Wayne, IN MSA | United States | 21.268 (2021)[157] | 423,038 (2021)[158] | 50,274 |
300+ | Columbus, GA-AL MSA | United States | 16.456 (2021)[157] | 327,536 (2021)[158] | 50,242 |
300+ | Binghamton, NY MSA | United States | 12.314 (2021)[157] | 245,220 (2021)[158] | 50,216 |
300+ | East Stroudsburg, PA MSA | United States | 8.493 (2021)[157] | 169,273 (2021)[158] | 50,173 |
300+ | Kalamazoo-Portage, MI MSA | United States | 13.094 (2021)[157] | 261,108 (2021)[158] | 50,148 |
300+ | Blacksburg-Christiansburg, VA MSA | United States | 8.271 (2021)[157] | 165,293 (2021)[158] | 50,038 |
300+ | Chattanooga, TN-GA MSA | United States | 28.336 (2021)[157] | 567,641 (2021)[158] | 49,919 |
300+ | Abilene, TX MSA | United States | 8.848 (2021)[157] | 177,314 (2021)[158] | 49,900 |
300+ | Danville, IL MSA | United States | 3.645 (2021)[157] | 73,095 (2021)[158] | 49,867 |
300+ | Springfield, MO MSA | United States | 23.930 (2021)[157] | 481,483 (2021)[158] | 49,701 |
300+ | Ogden-Clearfield, UT MSA | United States | 35.071 (2021)[157] | 706,696 (2021)[158] | 49,627 |
300+ | Palm Bay-Melbourne-Titusville, FL MSA | United States | 30.589 (2021)[157] | 616,628 (2021)[158] | 49,607 |
300+ | Cape Girardeau, MO-IL MSA | United States | 4.838 (2021)[157] | 97,699 (2021)[158] | 49,519 |
300+ | Saginaw, MI MSA | United States | 9.363 (2021)[157] | 189,591 (2021)[158] | 49,385 |
244 | Fresno, CA MSA | United States | 49.987 (2021)[157] | 1,013,581 (2021)[158] | 49,317 |
300+ | Goldsboro, NC MSA | United States | 5.761 (2021)[157] | 116,835 (2021)[158] | 49,309 |
300+ | Sebastian-Vero Beach, FL MSA | United States | 8.063 (2021)[157] | 163,662 (2021)[158] | 49,266 |
300+ | Salem, OR MSA | United States | 21.487 (2021)[157] | 436,283 (2021)[158] | 49,250 |
300+ | Eugene-Springfield, OR MSA | United States | 18.848 (2021)[157] | 383,189 (2021)[158] | 49,187 |
300+ | Great Falls, MT MSA | United States | 4.150 (2021)[157] | 84,511 (2021)[158] | 49,106 |
300+ | Lancaster, PA MSA | United States | 27.183 (2021)[157] | 553,652 (2021)[158] | 49,098 |
300+ | Medford, OR MSA | United States | 10.949 (2021)[157] | 223,734 (2021)[158] | 48,938 |
300+ | Kingsport-Bristol, TN-VA MSA | United States | 15.104 (2021)[157] | 308,661 (2021)[158] | 48,934 |
300+ | Logan, UT-ID MSA | United States | 7.425 (2021)[157] | 152,083 (2021)[158] | 48,822 |
300+ | Lebanon, PA MSA | United States | 6.911 (2021)[157] | 143,493 (2021)[158] | 48,163 |
300+ | Tuscaloosa, AL MSA | United States | 12.913 (2021)[157] | 268,191 (2021)[158] | 48,149 |
300+ | Jonesboro, AR MSA | United States | 6.494 (2021)[157] | 134,878 (2021)[158] | 48,147 |
300+ | Grand Forks, ND-MN MSA | United States | 4.981 (2021)[157] | 103,462 (2021)[158] | 48,143 |
300+ | Greensboro-High Point, NC MSA | United States | 37.466 (2021)[157] | 778,848 (2021)[158] | 48,104 |
300+ | Chico, CA MSA | United States | 10.006 (2021)[157] | 208,309 (2021)[158] | 48,034 |
300+ | Jacksonville, NC MSA | United States | 9.900 (2021)[157] | 206,160 (2021)[158] | 48,021 |
300+ | Vineland-Bridgeton, NJ MSA | United States | 7.376 (2021)[157] | 153,627 (2021)[158] | 48,012 |
300+ | Modesto, CA MSA | United States | 26.519 (2021)[157] | 552,999 (2021)[158] | 47,955 |
300+ | Jackson, MI MSA | United States | 7.651 (2021)[157] | 160,050 (2021)[158] | 47,804 |
243 | Tucson, AZ MSA | United States | 50.231 (2021)[157] | 1,052,030 (2021)[158] | 47,747 |
300+ | Roanoke, VA MSA | United States | 15.012 (2021)[157] | 314,496 (2021)[158] | 47,734 |
300+ | Wichita Falls, TX MSA | United States | 7.096 (2021)[157] | 149,013 (2021)[158] | 47,620 |
300+ | Grand Junction, CO MSA | United States | 7.444 (2021)[157] | 157,335 (2021)[158] | 47,313 |
300+ | Hanford-Corcoran, CA MSA | United States | 7.258 (2021)[157] | 153,443 (2021)[158] | 47,301 |
300+ | Lafayette, LA MSA | United States | 22.650 (2021)[157] | 479,212 (2021)[158] | 47,265 |
300+ | Enid, OK MSA | United States | 2.926 (2021)[157] | 61,926 (2021)[158] | 47,250 |
300+ | Kingston, NY MSA | United States | 8.622 (2021)[157] | 182,951 (2021)[158] | 47,127 |
300+ | Farmington, NM MSA | United States | 5.698 (2021)[157] | 120,993 (2021)[158] | 47,094 |
300+ | Pensacola-Ferry Pass-Brent, FL MSA | United States | 24.309 (2021)[157] | 516,388 (2021)[158] | 47,075 |
300+ | Dalton, GA MSA | United States | 6.689 (2021)[157] | 142,799 (2021)[158] | 46,842 |
300+ | Lawrence, KS MSA | United States | 5.586 (2021)[157] | 119,363 (2021)[158] | 46,798 |
300+ | Topeka, KS MSA | United States | 10.884 (2021)[157] | 232,670 (2021)[158] | 46,779 |
300+ | Carbondale-Marion, IL MSA | United States | 6.206 (2021)[157] | 132,907 (2021)[158] | 46,694 |
300+ | Alexandria, LA MSA | United States | 7.037 (2021)[157] | 150,890 (2021)[158] | 46,637 |
300+ | Staunton, VA MSA | United States | 5.865 (2021)[157] | 125,774 (2021)[158] | 46,631 |
300+ | Stockton, CA MSA | United States | 36.790 (2021)[157] | 789,410 (2021)[158] | 46,604 |
300+ | Pine Bluff, AR MSA | United States | 3.996 (2021)[157] | 86,412 (2021)[158] | 46,244 |
300+ | Fayetteville, NC MSA | United States | 24.254 (2021)[157] | 524,588 (2021)[158] | 46,234 |
300+ | Racine, WI MSA | United States | 9.100 (2021)[157] | 196,896 (2021)[158] | 46,217 |
300+ | Huntington-Ashland, WV-KY-OH MSA | United States | 16.470 (2021)[157] | 356,581 (2021)[158] | 46,189 |
300+ | Warner Robins, GA MSA | United States | 8.993 (2021)[157] | 195,246 (2021)[158] | 46,060 |
300+ | Terre Haute, IN MSA | United States | 8.502 (2021)[157] | 184,910 (2021)[158] | 45,979 |
300+ | Rome, GA MSA | United States | 4.539 (2021)[157] | 98,771 (2021)[158] | 45,955 |
300+ | Bowling Green, KY MSA | United States | 8.368 (2021)[157] | 182,594 (2021)[158] | 45,828 |
58 | Riverside-San Bernardino-Ontario, CA MSA | United States | 213.183 (2021)[157] | 4,653,105 (2021)[158] | 45,815 |
300+ | Hickory-Lenoir-Morganton, NC MSA | United States | 16.787 (2021)[157] | 366,441 (2021)[158] | 45,811 |
300+ | Joplin, MO MSA | United States | 8.319 (2021)[157] | 182,541 (2021)[158] | 45,573 |
300+ | Houma-Thibodaux, LA MSA | United States | 9.350 (2021)[157] | 206,212 (2021)[158] | 45,342 |
300+ | Killeen-Temple, TX MSA | United States | 21.967 (2021)[157] | 486,101 (2021)[158] | 45,190 |
300+ | Atlantic City-Hammonton, NJ MSA | United States | 12.407 (2021)[157] | 274,966 (2021)[158] | 45,122 |
300+ | Coeur d'Alene, ID MSA | United States | 8.112 (2021)[157] | 300+,789 (2021)[158] | 45,120 |
300+ | Parkersburg-Vienna, WV MSA | United States | 4.000 (2021)[157] | 88,687 (2021)[158] | 45,102 |
300+ | Brunswick, GA MSA | United States | 5.136 (2021)[157] | 113,963 (2021)[158] | 45,067 |
300+ | Fort Smith, AR-OK MSA | United States | 10.920 (2021)[157] | 245,459 (2021)[158] | 44,488 |
300+ | Yuba City, CA MSA | United States | 8.104 (2021)[157] | 182,484 (2021)[158] | 44,409 |
300+ | Clarksville, TN-KY MSA | United States | 14.546 (2021)[157] | 328,304 (2021)[158] | 44,306 |
300+ | Lawton, OK MSA | United States | 5.636 (2021)[157] | 127,543 (2021)[158] | 44,189 |
300+ | Anniston-Oxford, AL MSA | United States | 5.108 (2021)[157] | 115,972 (2021)[158] | 44,045 |
300+ | Lakeland-Winter Haven, FL MSA | United States | 33.144 (2021)[157] | 753,520 (2021)[158] | 43,986 |
300+ | Pueblo, CO MSA | United States | 7.436 (2021)[157] | 169,622 (2021)[158] | 43,839 |
300+ | Chambersburg-Waynesboro, PA MSA | United States | 6.846 (2021)[157] | 156,289 (2021)[158] | 43,803 |
300+ | Valdosta, GA MSA | United States | 6.529 (2021)[157] | 149,152 (2021)[158] | 43,774 |
300+ | St. George, UT MSA | United States | 8.338 (2021)[157] | 191,226 (2021)[158] | 43,603 |
300+ | Lynchburg, VA MSA | United States | 11.430 (2021)[157] | 262,258 (2021)[158] | 43,583 |
300+ | Springfield, MA MSA | United States | 30.271 (2021)[157] | 695,305 (2021)[158] | 43,536 |
300+ | Elizabethtown-Fort Knox, KY MSA | United States | 6.819 (2021)[157] | 156,766 (2021)[158] | 43,498 |
300+ | Yuma, AZ MSA | United States | 8.977 (2021)[157] | 206,990 (2021)[158] | 43,369 |
300+ | Madera, CA MSA | United States | 6.907 (2021)[157] | 159,410 (2021)[158] | 43,329 |
300+ | Monroe, MI MSA | United States | 6.716 (2021)[157] | 155,274 (2021)[158] | 43,253 |
300+ | Morristown, TN MSA | United States | 6.218 (2021)[157] | 143,855 (2021)[158] | 43,224 |
300+ | Albany-Lebanon, OR MSA | United States | 5.608 (2021)[157] | 129,839 (2021)[158] | 43,192 |
300+ | Visalia, CA MSA | United States | 20.580 (2021)[157] | 477,054 (2021)[158] | 43,140 |
300+ | El Paso, TX MSA | United States | 37.507 (2021)[157] | 871,234 (2021)[158] | 43,050 |
300+ | Sierra Vista-Douglas, AZ MSA | United States | 5.399 (2021)[157] | 126,050 (2021)[158] | 42,832 |
300+ | Burlington, NC MSA | United States | 7.440 (2021)[157] | 173,877 (2021)[158] | 42,789 |
300+ | Hagerstown-Martinsburg, MD-WV MSA | United States | 12.755 (2021)[157] | 298,227 (2021)[158] | 42,769 |
300+ | Myrtle Beach-Conway-North Myrtle Beach, SC-NC MSA | United States | 21.787 (2021)[157] | 509,794 (2021)[158] | 42,737 |
300+ | Flint, MI MSA | United States | 17.234 (2021)[157] | 404,208 (2021)[158] | 42,636 |
300+ | Cumberland, MD-WV MSA | United States | 4.025 (2021)[157] | 94,586 (2021)[158] | 42,554 |
300+ | Monroe, LA MSA | United States | 8.699 (2021)[157] | 204,884 (2021)[158] | 42,458 |
300+ | Cleveland, TN MSA | United States | 5.423 (2021)[157] | 127,938 (2021)[158] | 42,388 |
300+ | Sherman-Denison, TX MSA | United States | 5.852 (2021)[157] | 139,336 (2021)[158] | 41,999 |
300+ | Mansfield, OH MSA | United States | 5.251 (2021)[157] | 125,195 (2021)[158] | 41,943 |
300+ | Lewiston-Auburn, ME MSA | United States | 4.616 (2021)[157] | 111,034 (2021)[158] | 41,573 |
300+ | Grants Pass, OR MSA | United States | 3.666 (2021)[157] | 88,346 (2021)[158] | 41,496 |
300+ | Hattiesburg, MS MSA | United States | 7.181 (2021)[157] | 173,078 (2021)[158] | 41,490 |
300+ | Hilton Head Island-Bluffton, SC MSA | United States | 9.212 (2021)[157] | 222,072 (2021)[158] | 41,482 |
300+ | Gettysburg, PA MSA | United States | 4.310 (2021)[157] | 104,127 (2021)[158] | 41,392 |
300+ | Auburn-Opelika, AL MSA | United States | 7.335 (2021)[157] | 177,218 (2021)[158] | 41,390 |
300+ | Texarkana, TX-AR MSA | United States | 6.086 (2021)[157] | 147,174 (2021)[158] | 41,352 |
300+ | Daphne-Fairhope-Foley, AL MSA | United States | 9.891 (2021)[157] | 239,294 (2021)[158] | 41,334 |
300+ | Bangor, ME MSA | United States | 6.309 (2021)[157] | 152,765 (2021)[158] | 41,299 |
300+ | Lewiston, ID-WA MSA | United States | 2.676 (2021)[157] | 64,851 (2021)[158] | 41,264 |
300+ | Port St. Lucie, FL MSA | United States | 20.762 (2021)[157] | 503,521 (2021)[158] | 41,234 |
300+ | Sumter, SC MSA | United States | 5.539 (2021)[157] | 135,782 (2021)[158] | 40,793 |
300+ | The Villages, FL MSA | United States | 5.507 (2021)[157] | 135,638 (2021)[158] | 40,601 |
300+ | Bay City, MI MSA | United States | 4.158 (2021)[157] | 102,985 (2021)[158] | 40,375 |
300+ | Michigan City-La Porte, IN MSA | United States | 4.521 (2021)[157] | 112,390 (2021)[158] | 40,226 |
300+ | Beckley, WV MSA | United States | 4.563 (2021)[157] | 113,698 (2021)[158] | 40,133 |
300+ | Muncie, IN MSA | United States | 4.486 (2021)[157] | 111,871 (2021)[158] | 40,100 |
300+ | Florence-Muscle Shoals, AL MSA | United States | 5.989 (2021)[157] | 151,517 (2021)[158] | 39,527 |
300+ | Johnstown, PA MSA | United States | 5.197 (2021)[157] | 132,167 (2021)[158] | 39,321 |
300+ | Santa Fe, NM MSA | United States | 6.082 (2021)[157] | 155,201 (2021)[158] | 39,188 |
300+ | Yakima, WA MSA | United States | 9.978 (2021)[157] | 256,035 (2021)[158] | 38,971 |
300+ | Hot Springs, AR MSA | United States | 3.907 (2021)[157] | 100,330 (2021)[158] | 38,941 |
300+ | Pocatello, ID MSA | United States | 3.732 (2021)[157] | 96,213 (2021)[158] | 38,789 |
300+ | Erie, PA MSA | United States | 10.415 (2021)[157] | 269,011 (2021)[158] | 38,716 |
300+ | Muskegon, MI MSA | United States | 6.795 (2021)[157] | 176,511 (2021)[158] | 38,496 |
300+ | Springfield, OH MSA | United States | 5.162 (2021)[157] | 135,633 (2021)[158] | 38,059 |
300+ | Las Cruces, NM MSA | United States | 8.339 (2021)[157] | 221,508 (2021)[158] | 37,646 |
300+ | Decatur, AL MSA | United States | 5.854 (2021)[157] | 156,758 (2021)[158] | 37,344 |
300+ | Deltona-Daytona Beach-Ormond Beach, FL MSA | United States | 25.516 (2021)[157] | 685,344 (2021)[158] | 37,231 |
300+ | Hammond, LA MSA | United States | 4.897 (2021)[157] | 135,217 (2021)[158] | 36,216 |
300+ | Johnson City, TN MSA | United States | 7.508 (2021)[157] | 208,068 (2021)[158] | 36,084 |
300+ | Youngstown-Warren-Boardman, OH-PA MSA | United States | 19.163 (2021)[157] | 538,069 (2021)[158] | 35,614 |
300+ | Punta Gorda, FL MSA | United States | 6.911 (2021)[157] | 194,843 (2021)[158] | 35,470 |
300+ | Albany, GA MSA | United States | 5.210 (2021)[157] | 147,773 (2021)[158] | 35,257 |
300+ | Ocala, FL MSA | United States | 12.907 (2021)[157] | 385,915 (2021)[158] | 33,445 |
300+ | Homosassa Springs, FL MSA | United States | 5.247 (2021)[157] | 158,083 (2021)[158] | 33,191 |
300+ | Lake Havasu City-Kingman, AZ MSA | United States | 7.037 (2021)[157] | 217,692 (2021)[158] | 32,325 |
300+ | Merced, CA MSA | United States | 8.986 (2021)[157] | 286,461 (2021)[158] | 31,369 |
300+ | Brownsville-Harlingen, TX MSA | United States | 13.225 (2021)[157] | 423,029 (2021)[158] | 31,263 |
300+ | Gadsden, AL MSA | United States | 3.175 (2021)[157] | 103,162 (2021)[158] | 30,777 |
300+ | McAllen-Edinburg-Mission, TX MSA | United States | 25.508 (2021)[157] | 880,356 (2021)[158] | 28,975 |
300+ | Sebring-Avon Park, FL MSA | United States | 2.894 (2021)[157] | 103,296 (2021)[158] | 28,017 |
6 | Paris metropolitan area | France | Error in Template:Nts: Fractions are not supported (2021)[159][160] | 11,400,000 (2021)[21] | Template:Per capita |
48 | Madrid Metropolitan Area | Spain | Error in Template:Nts: Fractions are not supported (2020)[159][160] | 7,005,286 (2020)[161] | Template:Per capita |
52 | Berlin Metropolitan Region | Germany | Error in Template:Nts: Fractions are not supported (2020)[159][160] | 5,342,958 (2020)[161] | Template:Per capita |
53 | Milan metropolitan area | Italy | Error in Template:Nts: Fractions are not supported (2020)[159][160] | 4,985,668 (2020)[161] | Template:Per capita |
55 | Munich Metropolitan Region | Germany | Error in Template:Nts: Fractions are not supported (2020)[159][160] | 2,926,802 (2020)[161] | Template:Per capita |
57 | Greater Dublin Area | Ireland | Error in Template:Nts: Fractions are not supported (2020)[159][160] | 2,110,459 (2020)[161] | Template:Per capita |
59 | Amsterdam metropolitan area | Netherlands | Error in Template:Nts: Fractions are not supported (2020)[159][160] | 2,890,428 (2020)[161] | Template:Per capita |
60 | Brussels Capital Region | Belgium | Error in Template:Nts: Fractions are not supported (2021)[159][160] | 2,725,000 (2021)[21] | Template:Per capita |
64 | Ruhr Area | Germany | Error in Template:Nts: Fractions are not supported (2020)[159][160] | 5,115,617 (2020)[161] | Template:Per capita |
70 | Hamburg Metropolitan Region | Germany | Error in Template:Nts: Fractions are not supported (2020)[159][160] | 3,328,679 (2020)[161] | Template:Per capita |
73 | Barcelona metropolitan area | Spain | Error in Template:Nts: Fractions are not supported (2020)[159][160] | 5,105,991 (2020)[161] | Template:Per capita |
77 | Stockholm metropolitan area | Sweden | Error in Template:Nts: Fractions are not supported (2020)[159][160] | 2,377,081 (2020)[161] | Template:Per capita |
78 | Rome metropolitan area | Italy | Error in Template:Nts: Fractions are not supported (2020)[159]<rAaref name="europa2" /> | 4,325,591 (2020)[161] | Template:Per capita |
74 | Greater Copenhagen | Denmark | Error in Template:Nts: Fractions are not supported (2021)[159][160] | 1,690,000 (2021)[21] | Template:Per capita |
79 | Frankfurt/Rhine-Main | Germany | Error in Template:Nts: Fractions are not supported (2020)[159][160] | 2,729,936 (2020)[161] | Template:Per capita |
81 | Stuttgart Metropolitan Region | Germany | Error in Template:Nts: Fractions are not supported (2020)[159][160] | 2,794,283 (2020)[161] | Template:Per capita |
97 | Vienna | Austria | Error in Template:Nts: Fractions are not supported (2020)[159][160] | 3,004,660 (2020)[161] | Template:Per capita |
104 | Aix-Marseille-Provence Metropolis | France | Error in Template:Nts: Fractions are not supported (2021)[159][160] | 1,911,657 (2021)[162] | Template:Per capita |
114 | Metropolitan Cork | Ireland | Error in Template:Nts: Fractions are not supported (2020)[159][160] | 211,377 (2020)[163] | Template:Per capita |
112 | Warsaw metropolitan area | Poland | Error in Template:Nts: Fractions are not supported (2021)[159][160] | 2,350,000 (2021)[21] | Template:Per capita |
115 | Lyon | France | Error in Template:Nts: Fractions are not supported (2021)[159][160] | 1,990,000 (2021)[21] | Template:Per capita |
122 | Cologne Bonn Region | Germany | Error in Template:Nts: Fractions are not supported (2020)[159][160] | 2,004,984 (2020)[161] | Template:Per capita |
125 | Greater Helsinki | Finland | Error in Template:Nts: Fractions are not supported (2020)[159][160] | 1,526,778 (2020)[161] | Template:Per capita |
119 | Prague metropolitan area | Czech Republic | Error in Template:Nts: Fractions are not supported (2021)[159][160] | 1,460,000 (2021)[21] | Template:Per capita |
132 | Düsseldorf | Germany | Error in Template:Nts: Fractions are not supported (2020)[159][160] | 1,557,269 (2020)[161] | Template:Per capita |
134 | Rotterdam | Netherlands | Error in Template:Nts: Fractions are not supported (2020)[159][160] | 1,876,165 (2020)[161] | Template:Per capita |
131 | European Metropolis of Lille | France | Error in Template:Nts: Fractions are not supported (2021)[159][160] | 1,300,000 (2021)[21] | Template:Per capita |
148 | Gothenburg | Sweden | Error in Template:Nts: Fractions are not supported (2020)[159][160] | 1,051,345 (2020)[161] | Template:Per capita |
150 | Utrecht | Netherlands | Error in Template:Nts: Fractions are not supported (2020)[159][160] | 1,356,430 (2020)[164] | Template:Per capita |
147 | Lisbon metropolitan area | Portugal | Error in Template:Nts: Fractions are not supported (2021)[159][160] | 2,500,000 (2021)[21] | Template:Per capita |
155 | Athens Metropolitan Area | Greece | Error in Template:Nts: Fractions are not supported (2020)[159][160] | 3,526,887 (2020)[161] | Template:Per capita |
151 | Budapest metropolitan area | Hungary | Error in Template:Nts: Fractions are not supported (2021)[159][160] | 2,625,000 (2021)[21] | Template:Per capita |
156 | Luxembourg metropolitan area | Luxembourg | Error in Template:Nts: Fractions are not supported (2021)[159][160] | 193,543 (2021)[165] | Template:Per capita |
171 | Turin metropolitan area | Italy | Error in Template:Nts: Fractions are not supported (2020)[159][160] | 1,728,714 (2020)[161] | Template:Per capita |
175 | Nuremberg Metropolitan Region | Germany | Error in Template:Nts: Fractions are not supported (2020)[159][160] | 1,352,002 (2020)[161] | Template:Per capita |
182 | Bordeaux | France | Error in Template:Nts: Fractions are not supported (2021)[159][160] | 1,100,000 (2021)[21] | Template:Per capita |
188 | Bucharest Metropolitan Area | Romania | Error in Template:Nts: Fractions are not supported (2020)[159][160] | 2,219,341 (2020)[161] | Template:Per capita |
196 | Hannover | Germany | Error in Template:Nts: Fractions are not supported (2020)[159][160] | 1,316,006 (2020)[161] | Template:Per capita |
199 | Toulouse Métropole | France | Error in Template:Nts: Fractions are not supported (2020)[159][160] | 1,445,789 (2020)[161] | Template:Per capita |
200 | Region Braunschweig | Germany | Error in Template:Nts: Fractions are not supported (2020)[159][160] | 567,584 (2020)[166][167][168] | Template:Per capita |
204 | Valencia | Spain | Error in Template:Nts: Fractions are not supported (2020)[159][160] | 1,768,205 (2020)[161] | Template:Per capita |
206 | Malmö | Sweden | Error in Template:Nts: Fractions are not supported (2019)[159][160] | 737,511 (2019)[169] | Template:Per capita |
205 | Naples metropolitan area | Italy | Error in Template:Nts: Fractions are not supported (2020)[159][160] | 3,349,233 (2020)[161] | Template:Per capita |
197 | Antwerp metropolitan area | Belgium | Error in Template:Nts: Fractions are not supported (2021)[159][160] | 1,230,000 (2021)[21] | Template:Per capita |
201 | Nantes | France | Error in Template:Nts: Fractions are not supported (2021)[159][160] | 859,972 (2021)[170] | Template:Per capita |
212 | Rhine-Neckar | Germany | Error in Template:Nts: Fractions are not supported (2020)[159][160] | 547,207 (2020)[171] | Template:Per capita |
217 | The Hague | Netherlands | Error in Template:Nts: Fractions are not supported (2020)[159][160] | 1,116,798 (2020)[161] | Template:Per capita |
225 | Bremen | Germany | Error in Template:Nts: Fractions are not supported (2020)[159][160] | 1,274,429 (2020)[161] | Template:Per capita |
230 | Aarhus | Denmark | Error in Template:Nts: Fractions are not supported (2021)[159][160] | 352,751 (2021)[172] | Template:Per capita |
241 | Dresden | Germany | Error in Template:Nts: Fractions are not supported (2020)[159][160] | 1,343,747 (2020)[161] | Template:Per capita |
234 | Grenoble metropolitan area | France | Error in Template:Nts: Fractions are not supported (2021)[159][160] | 760,823 (2021)[173] | Template:Per capita |
257 | Eindhoven | Netherlands | Error in Template:Nts: Fractions are not supported (2020)[159][160] | 300,751 (2020)[174] | Template:Per capita |
247 | Métropole Rouen Normandie | France | Error in Template:Nts: Fractions are not supported (2021)[159][160] | 499,830 (2021)[162] | Template:Per capita |
253 | Strasbourg | France | Error in Template:Nts: Fractions are not supported (2021)[159][160] | 1,150,899 (2021)[175] | Template:Per capita |
255 | Rennes Métropole | France | Error in Template:Nts: Fractions are not supported (2021)[159][160] | 624,744 (2021)[176] | Template:Per capita |
261 | Brescia metropolitan area | Italy | Error in Template:Nts: Fractions are not supported (2020)[159][160] | 1,250,527 (2020)[177] | Template:Per capita |
260 | Métropole Nice Côte d'Azur | France | Error in Template:Nts: Fractions are not supported (2021)[159][160] | 1,101,039 (2021)[33] | Template:Per capita |
264 | Bologna metropolitan area | Italy | Error in Template:Nts: Fractions are not supported (2020)[159][160] | 1,017,225 (2020) | Template:Per capita |
267 | Katowice metropolitan area | Poland | Error in Template:Nts: Fractions are not supported (2020)[159][160] | 2,486,510 (2020)[161] | Template:Per capita |
272 | Linz | Austria | Error in Template:Nts: Fractions are not supported (2020)[159][160] | 199,028 (2020)[21] | Template:Per capita |
266 | Montpellier Méditerranée Métropole | France | Error in Template:Nts: Fractions are not supported (2021)[159][160] | 487,519 (2021)[178] | Template:Per capita |
300+ | Karlsruhe | Germany | Error in Template:Nts: Fractions are not supported (2020)[159][160] | 504,030 (2020)[179] | Template:Per capita |
283 | Seville | Spain | Error in Template:Nts: Fractions are not supported (2020)[159][160] | 1,558,006 (2020)[161] | Template:Per capita |
289 | Leipzig | Germany | Error in Template:Nts: Fractions are not supported (2020)[159][160] | 1,049,342 (2020)[161] | Template:Per capita |
292 | Bergamo metropolitan area | Italy | Error in Template:Nts: Fractions are not supported (2020)[159][160] | 1,102,286 (2020)[180] | Template:Per capita |
300 | Metropolitan City of Florence | Italy | Error in Template:Nts: Fractions are not supported (2020)[159][160] | 1,000,111 (2020) | Template:Per capita |
288 | Porto metropolitan area | Portugal | Error in Template:Nts: Fractions are not supported (2021)[159][160] | 1,550,000 (2021)[21] | Template:Per capita |
300+ | Alicante metropolitan area | Spain | Error in Template:Nts: Fractions are not supported (2020)[159][160] | 1,915,282 (2020)[181] | Template:Per capita |
300+ | Ghent metropolitan area | Belgium | Error in Template:Nts: Fractions are not supported (2021)[159][160] | 561,524 (2021)[182] | Template:Per capita |
300+ | Bilbao metropolitan area | Spain | Error in Template:Nts: Fractions are not supported (2020)[159][160] | 1,014,366 (2020)[161] | Template:Per capita |
300+ | Ingolstadt | Germany | Error in Template:Nts: Fractions are not supported (2020)[159][160] | 197,560 (2020)[183] | Template:Per capita |
300+ | Padua–Treviso–Venice metropolitan area | Italy | Error in Template:Nts: Fractions are not supported (2020)[159][160] | 2,748,420 (2020)[184] | Template:Per capita |
300+ | Verona metropolitan area | Italy | Error in Template:Nts: Fractions are not supported (2020)[159][160] | 915,975 (2020)[185] | Template:Per capita |
300+ | Heidelberg | Germany | Error in Template:Nts: Fractions are not supported (2020)[159][160] | 1,544,830 (2020)[186] | Template:Per capita |
300+ | Murcia | Spain | Error in Template:Nts: Fractions are not supported (2020)[159][160] | 1,528,828 (2020)[187] | Template:Per capita |
121 | Zürich | Switzerland | 1,470,000 (2022)[12] | 74,193.88 |
- Notes
Cities (metropolitan areas) by percentage of national GDP[edit]
Metropolitan area | GDP (billion USD) | Country | National GDP (billion USD) | % of national GDP |
---|---|---|---|---|
City of San Marino | 1.54 | San Marino | 1.70 | 90.872 |
Luxembourg City-Trier | 69.45 | Luxembourg | 86.90 | 79.925 |
Montevideo | 49.70 | Uruguay | 64.28 | 77.314 |
Karachi | 200.00 | Pakistan | 348.3 | 57.43 |
Seoul | 926.79 | South Korea | 1804.68 | 51.355 |
Riga | 20.00 | Latvia | 40.27 | 49.670 |
Taipei | 407.84 | Taiwan | 841.21 | 48.482 |
Bangkok | 252.13 | Thailand | 522.01 | 48.299 |
Lima | 176.45 | Peru | 372.69 | 47.344 |
Manila | 192.60 | Philippines | 411.98 | 46.750 |
Lisbon | 110.00 | Portugal | 251.92 | 43.666 |
Athens | 93.70 | Greece | 222.77 | 42.061 |
Tokyo | 2055.70 | Japan | 4912.15 | 41.849 |
Dhaka | 253.300 | Bangladesh | 396.54 | 40.349 |
Tallinn | 15.00 | Estonia | 37.20 | 40.320 |
Tbilisi | 8.00 | Georgia | 20.89 | 38.298 |
Yerevan | 5.23 | Armenia | 14.05 | 37.232 |
Minsk | 22.00 | Belarus | 59.39 | 37.041 |
Abidjan | 27.00 | Ivory Coast | 73.05 | 36.963 |
Tel Aviv | 188.42 | Israel | 520.70 | 36.186 |
Istanbul | 247.31 | Turkey | 692.38 | 35.719 |
Copenhagen | 134.40 | Denmark | 399.10 | 33.676 |
Paris | 984.235 | France | 3448.58 | 28.920 |
Auckland | 79.66 | New Zealand | 257.21 | 30.971 |
Helsinki | 90.80 | Finland | 297.62 | 30.509 |
Kabul | 6.00 | Afghanistan | 20.14 | 29.797 |
Budapest | 58.50 | Hungary | 197.81 | 29.573 |
London | 978.40 | United Kingdom | 3376.00 | 28.981 |
Moscow | 504.81 | Russia | 1829.05 | 27.599 |
Stockholm | 170.00 | Sweden | 621.24 | 27.365 |
Belgrade | 17.40 | Serbia | 65.04 | 26.754 |
Sofia | 22.40 | Bulgaria | 89.53 | 25.019 |
Abu Dhabi | 119.00 | United Arab Emirates | 501.35 | 23.736 |
Jakarta | 304.20 | Indonesia | 1289.30 | 23.594 |
Vienna | 112.00 | Austria | 479.82 | 23.342 |
Dublin | 118.72 | Ireland | 516.15 | 23.001 |
Sydney | 398.04 | Australia | 1748.33 | 22.767 |
Bucharest | 63.43 | Romania | 286.51 | 22.139 |
Amsterdam-Rotterdam | 223.00 | Netherlands | 1013.60 | 22.001 |
Prague | 64.00 | Czech Republic | 296.24 | 21.604 |
Toronto | 452.49 | Canada | 2221.22 | 20.371 |
Madrid | 280.94 | Spain | 1435.56 | 19.570 |
Mexico City | 250.46 | Mexico | 1322.74 | 18.935 |
Almaty | 36.00 | Kazakhstan | 193.61 | 18.594 |
Johannesburg | 76.00 | South Africa | 426.17 | 17.833 |
Brussels | 99.00 | Belgium | 609.89 | 16.233 |
Milan | 329.53 | Italy | 2058.33 | 16.010 |
Ho Chi Minh City | 61.70 | Vietnam | 408.95 | 15.088 |
Buenos Aires | 84.70 | Argentina | 564.28 | 15.010 |
Rhine-Ruhr | 636.45 | Germany | 4256.54 | 14.952 |
Lagos | 74.67 | Nigeria | 510.59 | 14.624 |
Kaunas | 10.00 | Lithuania | 69.78 | 14.330 |
Warsaw | 100.00 | Poland | 699.56 | 14.295 |
São Paulo | 261.64 | Brazil | 1833.27 | 14.272 |
Kuala Lumpur | 59.83 | Malaysia | 439.37 | 13.617 |
Dar es Salaam | 10.40 | Tanzania | 77.51 | 13.418 |
Oslo | 71.68 | Norway | 541.94 | 13.227 |
Kyiv | 25.70 | Ukraine | 198.32 | 12.959 |
Nairobi | 14.80 | Kenya | 114.68 | 12.906 |
Mumbai | 277.98 | India | 3534.74 | 7.864 |
New York | 1874.40 | United States | 25346.81 | 7.395 |
Shanghai | 680.00 | China | 19911.59 | 3.415 |
See also[edit]
- List of cheapest cities
- List of EU metropolitan areas 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 US dollars
References[edit]
- ↑ "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.
- ↑ "Standard country or area codes for statistical use (M49): Geographic Regions". United Nations. Retrieved 14 July 2022.
- ↑ 5.00 5.01 5.02 5.03 5.04 5.05 5.06 5.07 5.08 5.09 5.10 5.11 5.12 5.13 5.14 5.15 5.16 5.17 5.18 5.19 5.20 5.21 5.22 5.23 5.24 5.25 "Global Wealth GDP Nominal Distribution: Who Are The Leaders Of The Global Economy? - Full Size". www.visualcapitalist.com. Retrieved 27 March 2022.
- ↑ "Global Wealth PPP Distribution: Who Are The Leaders Of The Global Economy? - Full Size". www.visualcapitalist.com. Archived from the original on 13 October 2021. Retrieved 27 March 2022.
- ↑ 7.00 7.01 7.02 7.03 7.04 7.05 7.06 7.07 7.08 7.09 7.10 7.11 7.12 7.13 7.14 7.15 7.16 7.17 7.18 7.19 7.20 7.21 7.22 7.23 7.24 7.25 7.26 7.27 7.28 7.29 7.30 7.31 7.32 7.33 Government of Canada, Statistics Canada (27 January 2017). "Gross domestic product (GDP) at basic prices, by census metropolitan area (CMA)". www150.statcan.gc.ca. Retrieved 1 January 2022.
- ↑ 8.00 8.01 8.02 8.03 8.04 8.05 8.06 8.07 8.08 8.09 8.10 8.11 8.12 8.13 8.14 8.15 8.16 8.17 8.18 8.19 8.20 8.21 8.22 8.23 8.24 8.25 8.26 8.27 8.28 8.29 8.30 8.31 8.32 8.33 8.34 "Population estimates, July 1, by census metropolitan area and census agglomeration, 2016 boundaries". Statistics Canada. 17 April 2019. Retrieved 19 January 2021.
- ↑ "Invest Aberdeen Facts & Figures". Aberdeen Invest Live Visit. Archived from the original on 14 October 2013. Retrieved 21 September 2013.
- ↑ "Population on 1 January by age groups and sex - functional urban areas". Eurostat. Archived from the original on 20 December 2020. Retrieved 31 December 2020.
- ↑ "Which Cities Hold Africa's Wealth". Visual Capitalist. 28 September 2018. Retrieved 28 September 2018.
- ↑ 12.000 12.001 12.002 12.003 12.004 12.005 12.006 12.007 12.008 12.009 12.010 12.011 12.012 12.013 12.014 12.015 12.016 12.017 12.018 12.019 12.020 12.021 12.022 12.023 12.024 12.025 12.026 12.027 12.028 12.029 12.030 12.031 12.032 12.033 12.034 12.035 12.036 12.037 12.038 12.039 12.040 12.041 12.042 12.043 12.044 12.045 12.046 12.047 12.048 12.049 12.050 12.051 12.052 12.053 12.054 12.055 12.056 12.057 12.058 12.059 12.060 12.061 12.062 12.063 12.064 12.065 12.066 12.067 12.068 12.069 12.070 12.071 12.072 12.073 12.074 12.075 12.076 12.077 12.078 12.079 12.080 12.081 12.082 12.083 12.084 12.085 12.086 12.087 12.088 12.089 12.090 12.091 12.092 12.093 12.094 12.095 12.096 12.097 12.098 12.099 12.100 12.101 12.102 12.103 12.104 12.105 12.106 12.107 12.108 12.109 12.110 12.111 12.112 12.113 12.114 12.115 12.116 12.117 12.118 12.119 12.120 12.121 12.122 12.123 12.124 12.125 12.126 12.127 12.128 12.129 12.130 12.131 12.132 12.133 12.134 12.135 12.136 12.137 12.138 12.139 12.140 12.141 12.142 12.143 12.144 12.145 12.146 12.147 12.148 12.149 12.150 12.151 "MAJOR AGGLOMERATIONS OF THE WORLD". citypopulation.de/en. Retrieved 27 October 2022.
- ↑ "Abu Dhabi Economic Report" (PDF). Archived from the original (PDF) on 4 March 2016. Retrieved 15 May 2015.
- ↑ 14.00 14.01 14.02 14.03 14.04 14.05 14.06 14.07 14.08 14.09 14.10 14.11 14.12 14.13 14.14 14.15 14.16 14.17 14.18 14.19 14.20 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
- ↑ "District Domestic Product Per Capita". Archived from the original on 11 March 2023. Retrieved 7 January 2023.
- ↑ "Major Agglomerations of the World - Population Statistics and Maps". www.citypopulation.de. Retrieved 30 May 2023.
- ↑ "President: Almaty turns into large regional investment attractive centre". inform.kz. 29 October 2019. Archived from the original on 30 October 2019. Retrieved 31 October 2019.
- ↑ 18.00 18.01 18.02 18.03 18.04 18.05 18.06 18.07 18.08 18.09 18.10 18.11 18.12 18.13 "Posição ocupada pelos maiores municípios brasileiros em relação ao Produto Interno Bruto, Est. 2013". IBGE. 2013. Archived from the original on 19 February 2016.
- ↑ IBGE 2020
- ↑ "Ulusal Hesaplar - Kişi başına GSYH ($)" (the year is updated). Turkish Statistical Institute (www.tuik.gov.tr). Retrieved 27 January 2023.
- ↑ 21.00 21.01 21.02 21.03 21.04 21.05 21.06 21.07 21.08 21.09 21.10 21.11 21.12 21.13 21.14 21.15 21.16 "Major Agglomerations of the World - Population Statistics and Maps". 4 January 2022. Archived from the original on 4 January 2022. Retrieved 23 May 2023.
- ↑ "Quarterly Economic Monitor | Auckland | Gross domestic product". Retrieved 1 July 2022.
- ↑ "2016 Census Community Profiles: Ballarat". ABS Census. Australian Bureau of Statistics. Retrieved 15 September 2016.
- ↑ Badan Pusat Statistik Jawa Barat (2022). Produk Domestik Regional Bruto Kabupaten/kota di Jawa Barat 2019-2021. Bandung: Badan Pusat Statistik.
- ↑ 25.00 25.01 25.02 25.03 25.04 25.05 25.06 25.07 25.08 25.09 25.10 25.11 25.12 25.13 25.14 25.15 25.16 25.17 25.18 25.19 25.20 25.21 25.22 25.23 "National Bureau of Statistics of China". data.stats.gov.cn. Archived from the original on 13 September 2017. Retrieved 25 August 2017.
- ↑ "National Data". National Bureau of Statistics of China. 1 March 2022. Retrieved 23 March 2022.
- ↑ 27.0 27.1 27.2 27.3 27.4 "Eurostat". Archived from the original on 19 June 2018. Retrieved 19 June 2018.
- ↑ "Belfast Metropolitan Area Plan" (PDF). Planningni.gov. Archived (PDF) from the original on 7 November 2017. Retrieved 11 April 2018.
- ↑ 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.
- ↑ "2016 Census Community Profiles: Bendigo". ABS Census. Australian Bureau of Statistics. Retrieved 26 October 2017.
- ↑ 31.0 31.1 "The top 15 Indian cities by GDP | India's top 15 cities with the highest GDP - Yahoo India Finance". 9 October 2014. Archived from the original on 9 October 2014.
- ↑ 32.0 32.1 Records, Official. "Estimates of District Domestic Product Madhya Pradesh" (PDF). Department of Planning, Economics and Statistics, Govt. of M.P. Directorate of Economics and Statistics, Madhya Pradesh. Retrieved 18 October 2021.
- ↑ 33.0 33.1 33.2 "Database". ec.europa.eu. Eurostat. Retrieved 20 June 2020. click General and regional statistics / Regional statistics by typology / Metropolitan regions / Demography statistics by metropolitan regions / Population on 1 January by broad age group, sex and metropolitan regions (met_pjanaggr3)
- ↑ "Economía" (PDF) (in español). Archived from the original (PDF) on 25 March 2009. Retrieved 22 January 2010.
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: Cite journal requires|journal=
(help) - ↑ "Regional Population: Population estimates by Significant Urban Area, 2009 to 2019". Australian Bureau of Statistics. Retrieved 3 November 2020. Estimated resident population, 30 June 2019.
- ↑ GDP (in português). Campo Grande, Brazil: IBGE. 2013. Archived from the original on 12 May 2016. Retrieved 7 January 2016.
- ↑ per capita income (PDF) (in português). Campos, Brazil: IBGE. 2005. ISBN 85-240-3919-1. Archived from the original (PDF) on 2 October 2008. Retrieved 18 July 2007.
- ↑ IBGE 2020
- ↑ "Regional population, 2019-20". Australian Bureau of Statistics. Retrieved 11 April 2021.Regional population, 2019-20.
- ↑ "The Online Journal of McKinsey & Company". McKinsey Quarterly. Archived from the original on 14 July 2012. Retrieved 12 March 2013.
- ↑ 41.0 41.1 41.2 41.3 Haritas, Bhragu. "Richest Cities Of India". BW Businessworld. Archived from the original on 2 March 2020. Retrieved 19 April 2020.
- ↑ "In 2021, the GDP of each city and state in Hunan will exceed US$20,000 per capita in Changsha". 15 June 2022.
- ↑ OECD Urban Policy Reviews: China 2015, OECD READ edition. 18 April 2015. p. 37. doi:10.1787/9789264230040-en. ISBN 9789264230033. ISSN 2306-9341. Archived from the original on 27 March 2017. Retrieved 9 December 2017.
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:|website=
ignored (help)Linked from the OECD here [1] Archived 2017-12-09 at the Wayback Machine - ↑ "Major Agglomerations of the World - Population Statistics and Maps". 4 January 2022. Archived from the original on 4 January 2022. Retrieved 18 May 2023.
- ↑ "Economics Landscape of Chittagong". chittagongchamber.com. Chittagong Chamber. Retrieved 16 October 2019.
- ↑ "Major Agglomerations of the World - Population Statistics and Maps". Archived from the original on 4 January 2022. Retrieved 17 May 2023.
- ↑ Lundy, Kate (2010). "Chapter 3: The economic environment of the Indian Ocean Territories". Inquiry into the changing economic environment in the Indian Ocean Territories (PDF). Parliament House, Canberra ACT: Joint Standing Committee on the National Capital and External Territories. p. 23. ISBN 978-0-642-79276-1.
- ↑ Template:Census 2016 AUS
- ↑ 49.0 49.1 49.2 49.3 "Regional economic activity by gross value added (balanced), UK: 1998 to 2017". Office for National Statistics UK.
- ↑ 50.0 50.1 50.2 50.3 "Yearly Average Currency Exchange Rates | Internal Revenue Service". irs.gov.
- ↑ "Population on 1 January by age groups and sex – functional urban areas". Archived from the original on 29 June 2016. Retrieved 5 June 2016.
- ↑ "Tanzania: GDP at current prices, by region". Statista. Retrieved 21 October 2021.
- ↑ "Dhaka, Bangladesh GDP and Income Distribution". www.canback.com. Archived from the original on 1 July 2020. Retrieved 1 July 2020.
- ↑ "China: Administrative Division of Guăngdōng / 广东省". Archived from the original on 28 December 2014. Retrieved 25 May 2015.
- ↑ 东营市第六次全国人口普查主要数据公报. Dongying Bureau of Statistics. Archived from the original on 2 June 2015. Retrieved 27 July 2012.
- ↑ "China: Shāndōng (Prefectures, Cities, Districts and Counties) - Population Statistics, Charts and Map".
- ↑ "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.
- ↑ ""Metropolitan Area Populations"". 22 February 2020. Archived from the original on 3 December 2018. Retrieved 1 March 2020.
- ↑ "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.
- ↑ "Guăngdōng (China): Prefectural Division & Major Cities - Population Statistics, Maps, Charts, Weather and Web Information". www.citypopulation.de. Retrieved 24 May 2023.
- ↑ 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 日本語). Cabinet Office, Government of Japan. Archived from the original on 17 October 2017. Retrieved 14 August 2016.
- ↑ 63.0 63.1 "Department of Statistics Malaysia Official Portal". www.dosm.gov.my. Retrieved 30 September 2020.
- ↑ Template:Census 2016 AUS
- ↑ "Significant Urban Area (SUA) ASGS Edition 2016 in .csv Format". Australian Bureau of Statistics. 9 October 2017. Retrieved 14 November 2019.
- ↑ "Bilan démographique selon le niveau géographique institutionnel". PX-Web.
- ↑ "Statistics Downloads" (PDF). Government of Gibraltar. Retrieved 9 April 2022.
- ↑ "US Dollar to British Pound Spot Exchange Rates for 2022". www.exchangerates.org.uk.
- ↑ "Gibraltar - Key Indicators". Gibraltar.gov.gi. 2020. Retrieved 5 June 2020.
- ↑ "2016 Census Community Profiles: Gladstone – Tannum Sands". ABS Census. Australian Bureau of Statistics. Archived from the original on 12 November 2019. Retrieved 12 November 2019.
- ↑ 71.0 71.1 71.2 "3218.0 – Regional Population Growth, Australia, 2017-18: Population Estimates by Significant Urban Area, 2008 to 2018". Australian Bureau of Statistics. 27 March 2019. Retrieved 25 October 2019. Estimated resident population, 30 June 2018.
- ↑ "Guăngzhōu Shì (Sub-provincial City, China) - Population Statistics, Charts, Map and Location". citypopulation.de. Retrieved 18 May 2023.
- ↑ "Punjab at a Glance". Punjab Board of Investment and Trade. Government of Punjab. Archived from the original on 16 April 2017. Retrieved 23 December 2017.
- ↑ "Regional Statistics". www.cbs.gov.il.
- ↑ 75.0 75.1 75.2 75.3 75.4 75.5 Yoshitsugu Kanemoto. "Metropolitan Employment Area (MEA) Data". Center for Spatial Information Science, The University of Tokyo.
- ↑ 76.0 76.1 76.2 Conversion rates – Exchange rates – OECD Data
- ↑ "Major Agglomerations of the World - Population Statistics and Maps". 4 January 2022. Archived from the original on 4 January 2022. Retrieved 18 May 2023.
- ↑ "Hanoi's economic growth hits 4-year high of 7.62% in 2019". 28 December 2019.
- ↑ Yoshitsugu Kanemoto. "Metropolitan Employment Area (MEA) Data". Center for Spatial Information Science, The University of Tokyo.
- ↑ "3218.0 – Regional Population Growth, Australia, 2017-18: Main Features". Australian Bureau of Statistics. 27 March 2019. Retrieved 14 November 2019. Estimated resident population, 30 June 2018.
- ↑ Onishi, Tomoya. "Vietnam to boost Ho Chi Minh budget for first time in 18 years". Nikkei Asia. Retrieved 30 August 2022. (Subscription required.)
- ↑ 82.0 82.1 82.2 82.3 82.4 82.5 82.6 82.7 "Report for Selected Countries and Subjects". IMF. Retrieved 13 April 2023.
- ↑ 83.0 83.1 中華民國 內政部戶政司 全球資訊網. 中華民國內政部戶政司 (in 中文). 1 May 2018. Retrieved 29 November 2019.
- ↑ 呼和浩特市2012年国民经济和社会发展统计公报. Hohhot Municipal Bureau of Statistics (in 中文). 1 April 2013. Retrieved 17 July 2015.
- ↑ "DocSend - Simple, intelligent, modern content sending". DocSend.
- ↑ Records, Official. "Year Wise Gross Domestic Product at Current Price of JAIPUR". Government of Rajasthan Directorate of Economics & Statistics District Domestic Produc. Retrieved 6 November 2021.
- ↑ "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.
- ↑ IBGE 2020
- ↑ 90.0 90.1 "国勢調査 平成27年国勢調査 大都市圏・都市圏 | ファイル | 統計データを探す" [2015 Census Final Data]. 政府統計の総合窓口 (in 日本語).
- ↑ Asian Development Bank. "Karachi Mega-Cities Preparation Project" (PDF). Archived from the original (PDF) on 6 August 2011. Retrieved 1 January 2009.
- ↑ "State Statistics Service of Ukraine" (PDF). www.ukrstat.gov.ua.
- ↑ "India: States and Major Agglomerations - Population Statistics, Maps, Charts, Weather and Web Information". www.citypopulation.de. Retrieved 30 May 2023.
- ↑ 94.0 94.1 94.2 94.3 94.4 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.
- ↑ "Population of Cities in Australia (2021)". worldpopulationreview.com. Retrieved 2 May 2021.
- ↑ Records, Official. "District Domestic Product Estimates Uttar Pradesh Year 2019-20" (PDF). Directorate of Economics And Statistics Government Of Uttar Pradesh. Retrieved 6 November 2021.
- ↑ "3218.0 – Regional Population Growth, Australia, 2017-18: Population Estimates by Significant Urban Area, 2008 to 2018". Australian Bureau of Statistics. 27 March 2019. Archived from the original on 27 March 2019. Retrieved 25 October 2019. Estimated resident population, 30 June 2018.
- ↑ "IBGE - Agência de Notícias". IBGE - Agência de Notícias. Retrieved 5 February 2019.
- ↑ "Global city GDP 2013–2014". Brookings Institution. 30 November 2001. Archived from the original on 21 March 2015. Retrieved 25 March 2015.
- ↑ "Badan Pusat Statistik Kota Medan". medankota.bps.go.id. Archived from the original on 1 January 2020. Retrieved 28 February 2019.
- ↑ "GRPS of regions and Minsk city in 2021".
- ↑ "United Nations Statistics Division - National Accounts". unstats.un.org.
- ↑ "Population and employment / IMSEE - Monaco IMSEE". www.monacostatistics.mc. Archived from the original on 27 December 2018. Retrieved 27 December 2018.
- ↑ Parilla, Jesus Leal Trujillo and Joseph (29 September 2016). "Redefining Global Cities". Brookings.
- ↑ (((61/33)^(1/15))^10)*33 and (((33/21)^(1/15))^10)*21.
- ↑ Records, Official. "District Domestic Product of Maharashtra 2011-12 to 2019-20" (PDF). Planning Department, Government of Maharashtra, India. Directorate of Economics and Statistics. Retrieved 6 March 2022.
- ↑ "Gross County Product 2019". Archived from the original on 7 October 2021. Alt URL Archived 27 March 2020 at the Wayback Machine
- ↑ "2021年江苏13市GDP出炉 苏州2.27万亿位居第一". ah.people.com.cn. Archived from the original on 26 January 2022. Retrieved 26 January 2022.
- ↑ "Major Agglomerations of the World - Population Statistics and Maps". 4 January 2022. Archived from the original on 4 January 2022. Retrieved 16 May 2023.
- ↑ Huang, Yanmei (黄艳梅); Yang, Zhixiong (杨志雄) (25 March 2008). 2007南宁市GDP总量首次突破一千亿元人民币. 中新广西网 (in 中文(简体)). Archived from the original on 23 July 2015. Retrieved 23 July 2015 – via Xinhua Guangxi.
- ↑ "Dollar Yuan Exchange Rate - 35 Year Historical Chart". www.macrotrends.net. Retrieved 30 May 2023.
- ↑ "Guăngxī (China): Prefectural Division & Major Cities - Population Statistics, Maps, Charts, Weather and Web Information". www.citypopulation.de. Retrieved 30 May 2023.
- ↑ Template:Census 2016 AUS
- ↑ 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.
- ↑ 2022年宁波市国民经济和社会发展统计公报 [Statistical Communiqué of Ningbo on the 2022 National Economic and Social Development]. tjj.ningbo.gov.cn (in 中文). Ningbo Bureau of Statistics. 28 February 2022. Archived from the original on 30 October 2019. Retrieved 28 February 2022.
- ↑ "Database - Eurostat". ec.europa.eu. Archived from the original on 23 June 2019. Retrieved 23 April 2019.
- ↑ Badan Pusat Statistik Sumatra Selatan (2022). Produk Domestik Regional Bruto Kabupaten/kota di Sumatra Selatan 2019-2021. Palembang: Badan Pusat Statistik.
- ↑ Records, Official. "Directorate of Economics and Statistics". dse.bihar.gov.in. Retrieved 10 November 2021.
- ↑ "City of Tshwane, Metropolitan Municipality 799 from Census 2011". Census 2011. Retrieved 23 January 2022.
- ↑ "PIB por Entidad Federativa (PIBE) en 2019, Base 2013" (in español). INEGI. Retrieved 13 February 2021.
- ↑ "Recife – IBGE Cidades". IBGE. Archived from the original on 21 December 2016. Retrieved 14 December 2016.
- ↑ 123.0 123.1 "3218.0 – Regional Population Growth, Australia, 2017-18: Population Estimates by Significant Urban Area, 2008 to 2018". Australian Bureau of Statistics. 27 March 2019. Archived from the original on 27 March 2019. Retrieved 25 October 2019. Estimated resident population, 30 June 2018.
- ↑ "Валовой региональный продукт".
- ↑ Do G1, em São Paulo. "2013 GDPs" (in português). 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.
- ↑ "Santiago.cl". Santiago.cl. Archived from the original on 15 August 2009. Retrieved 17 April 2010.
- ↑ "Chile: Regions and Urban Agglomerations - Population Statistics, Maps, Charts, Weather and Web Information". www.citypopulation.de. Retrieved 30 May 2023.
- ↑ IBGE 2020
- ↑ IBGE 2020
- ↑ GDP-2022 is a preliminary data "Home - Regional - Quarterly by Province" (Press release). China NBS. Retrieved 23 January 2023.
- ↑ 132.0 132.1 132.2 "Shanghai first Chinese city to top 3 trillion yuan GDP". China Daily. Archived from the original on 20 January 2018. Retrieved 20 January 2018.
- ↑ "About Sharjah". This is sharjah. Archived from the original on 15 March 2015.
- ↑ "World City Populations 2022". worldpopulationreview.com. Archived from the original on 20 February 2020. Retrieved 10 June 2020.
- ↑ "东北三省会2019GDP公布,沈阳重回榜首". xw.qq.com.
- ↑ (PDF). 14 January 2022 https://web.archive.org/web/20220114105837/http://www.demographia.com/db-worldua.pdf. Archived from the original (PDF) on 14 January 2022. Retrieved 17 May 2023.
{{cite web}}
: Missing or empty|title=
(help) - ↑ "3218.0 – Regional Population Growth, Australia, 2017–18: Population Estimates by Significant Urban Area, 2008 to 2018". Australian Bureau of Statistics. 27 March 2019. Archived from the original on 27 March 2019. Retrieved 25 October 2019. Estimated resident population, 30 June 2018.
- ↑ IBGE 2020
- ↑ Badan Pusat Statistik Jawa Timur (2022). Produk Domestik Regional Bruto Kabupaten/kota di Jawa Timur 2019-2021. Surabaya: Badan Pusat Statistik.
- ↑ (PDF). 14 January 2022 https://web.archive.org/web/20220114105837/http://www.demographia.com/db-worldua.pdf. Archived from the original (PDF) on 14 January 2022. Retrieved 18 May 2023.
{{cite web}}
: Missing or empty|title=
(help) - ↑ Badan Pusat Statistik, Jakarta, 2021.
- ↑ "საქართველოს სტატისტიკის ეროვნული სამსახური". www.geostat.ge (in ქართული). Archived from the original on 13 September 2019. Retrieved 28 August 2019.
- ↑ 143.0 143.1 "Tel Aviv 2022 Global Business Cities Report".
- ↑ "Major Agglomerations of the World - Population Statistics and Maps". 4 January 2022. Archived from the original on 4 January 2022. Retrieved 18 May 2023.
- ↑ "Tokelau's Gross Domestic Product determined for first time this century". www.tokelau.org.nz.
- ↑ Final population counts: 2016 Tokelau Census (PDF) (Report). Statistics New Zealand. November 2016. p. 3.
- ↑ "3218.0 – Regional Population Growth, Australia, 2017–18: Population Estimates by Significant Urban Area, 2008 to 2018". Australian Bureau of Statistics. 27 March 2019. Archived from the original on 27 March 2019. Retrieved 25 October 2019. Estimated resident population, 30 June 2018.
- ↑ IBGE 2020
- ↑ 2022年温州GDP突破八千亿元. Retrieved 13 March 2023.
{{cite web}}
: CS1 maint: url-status (link) - ↑ Statistics. "Population estimates by selected Non-ABS Structures, 2010-2020". abs.gov.au. Australian Bureau of Statistics. Retrieved 30 March 2021.
- ↑ "超1.7万亿元,武汉2021年GDP同比增长12.2%-荆楚网-湖北日报网". News.cnhubei.com. 24 January 2022. Retrieved 25 February 2022.
- ↑ "Major Agglomerations of the World - Population Statistics and Maps". 4 January 2022. Archived from the original on 4 January 2022. Retrieved 16 May 2023.
- ↑ "乌鲁木齐市2019年国民经济和社会发展统计公报" (in 中文). 12 March 2021. Retrieved 12 March 2021.
- ↑ Cox, W (2018). Demographia World Urban Areas. 14th Annual Edition (PDF). St. Louis: Demographia. p. 22.
- ↑ "Economy". Yerevan Municipality. Archived from the original on 5 September 2019. Retrieved 28 December 2019.
- ↑ "China: Guăngdōng (Prefectures, Cities, Districts and Counties) - Population Statistics, Charts and Map". www.citypopulation.de.
- ↑ 157.000 157.001 157.002 157.003 157.004 157.005 157.006 157.007 157.008 157.009 157.010 157.011 157.012 157.013 157.014 157.015 157.016 157.017 157.018 157.019 157.020 157.021 157.022 157.023 157.024 157.025 157.026 157.027 157.028 157.029 157.030 157.031 157.032 157.033 157.034 157.035 157.036 157.037 157.038 157.039 157.040 157.041 157.042 157.043 157.044 157.045 157.046 157.047 157.048 157.049 157.050 157.051 157.052 157.053 157.054 157.055 157.056 157.057 157.058 157.059 157.060 157.061 157.062 157.063 157.064 157.065 157.066 157.067 157.068 157.069 157.070 157.071 157.072 157.073 157.074 157.075 157.076 157.077 157.078 157.079 157.080 157.081 157.082 157.083 157.084 157.085 157.086 157.087 157.088 157.089 157.090 157.091 157.092 157.093 157.094 157.095 157.096 157.097 157.098 157.099 157.100 157.101 157.102 157.103 157.104 157.105 157.106 157.107 157.108 157.109 157.110 157.111 157.112 157.113 157.114 157.115 157.116 157.117 157.118 157.119 157.120 157.121 157.122 157.123 157.124 157.125 157.126 157.127 157.128 157.129 157.130 157.131 157.132 157.133 157.134 157.135 157.136 157.137 157.138 157.139 157.140 157.141 157.142 157.143 157.144 157.145 157.146 157.147 157.148 157.149 157.150 157.151 157.152 157.153 157.154 157.155 157.156 157.157 157.158 157.159 157.160 157.161 157.162 157.163 157.164 157.165 157.166 157.167 157.168 157.169 157.170 157.171 157.172 157.173 157.174 157.175 157.176 157.177 157.178 157.179 157.180 157.181 157.182 157.183 157.184 157.185 157.186 157.187 157.188 157.189 157.190 157.191 157.192 157.193 157.194 157.195 157.196 157.197 157.198 157.199 157.200 157.201 157.202 157.203 157.204 157.205 157.206 157.207 157.208 157.209 157.210 157.211 157.212 157.213 157.214 157.215 157.216 157.217 157.218 157.219 157.220 157.221 157.222 157.223 157.224 157.225 157.226 157.227 157.228 157.229 157.230 157.231 157.232 157.233 157.234 157.235 157.236 157.237 157.238 157.239 157.240 157.241 157.242 157.243 157.244 157.245 157.246 157.247 157.248 157.249 157.250 157.251 157.252 157.253 157.254 157.255 157.256 157.257 157.258 157.259 157.260 157.261 157.262 157.263 157.264 157.265 157.266 157.267 157.268 157.269 157.270 157.271 157.272 157.273 157.274 157.275 157.276 157.277 157.278 157.279 157.280 157.281 157.282 157.283 157.284 157.285 157.286 157.287 157.288 157.289 157.290 157.291 157.292 157.293 157.294 157.295 157.296 157.297 157.298 157.299 157.300 157.301 157.302 157.303 157.304 157.305 157.306 157.307 157.308 157.309 157.310 157.311 157.312 157.313 157.314 157.315 157.316 157.317 157.318 157.319 157.320 157.321 157.322 157.323 157.324 157.325 157.326 157.327 157.328 157.329 157.330 157.331 157.332 157.333 157.334 157.335 157.336 157.337 157.338 157.339 157.340 157.341 157.342 157.343 157.344 157.345 157.346 157.347 157.348 157.349 157.350 157.351 157.352 157.353 157.354 157.355 157.356 157.357 157.358 157.359 157.360 157.361 157.362 157.363 157.364 157.365 157.366 157.367 157.368 157.369 157.370 157.371 157.372 157.373 157.374 157.375 157.376 157.377 157.378 157.379 157.380 157.381 "Gross Domestic Product by County and Metropolitan Area | FRED | St. Louis Fed". fred.stlouisfed.org. Retrieved 18 April 2023.
- ↑ 158.000 158.001 158.002 158.003 158.004 158.005 158.006 158.007 158.008 158.009 158.010 158.011 158.012 158.013 158.014 158.015 158.016 158.017 158.018 158.019 158.020 158.021 158.022 158.023 158.024 158.025 158.026 158.027 158.028 158.029 158.030 158.031 158.032 158.033 158.034 158.035 158.036 158.037 158.038 158.039 158.040 158.041 158.042 158.043 158.044 158.045 158.046 158.047 158.048 158.049 158.050 158.051 158.052 158.053 158.054 158.055 158.056 158.057 158.058 158.059 158.060 158.061 158.062 158.063 158.064 158.065 158.066 158.067 158.068 158.069 158.070 158.071 158.072 158.073 158.074 158.075 158.076 158.077 158.078 158.079 158.080 158.081 158.082 158.083 158.084 158.085 158.086 158.087 158.088 158.089 158.090 158.091 158.092 158.093 158.094 158.095 158.096 158.097 158.098 158.099 158.100 158.101 158.102 158.103 158.104 158.105 158.106 158.107 158.108 158.109 158.110 158.111 158.112 158.113 158.114 158.115 158.116 158.117 158.118 158.119 158.120 158.121 158.122 158.123 158.124 158.125 158.126 158.127 158.128 158.129 158.130 158.131 158.132 158.133 158.134 158.135 158.136 158.137 158.138 158.139 158.140 158.141 158.142 158.143 158.144 158.145 158.146 158.147 158.148 158.149 158.150 158.151 158.152 158.153 158.154 158.155 158.156 158.157 158.158 158.159 158.160 158.161 158.162 158.163 158.164 158.165 158.166 158.167 158.168 158.169 158.170 158.171 158.172 158.173 158.174 158.175 158.176 158.177 158.178 158.179 158.180 158.181 158.182 158.183 158.184 158.185 158.186 158.187 158.188 158.189 158.190 158.191 158.192 158.193 158.194 158.195 158.196 158.197 158.198 158.199 158.200 158.201 158.202 158.203 158.204 158.205 158.206 158.207 158.208 158.209 158.210 158.211 158.212 158.213 158.214 158.215 158.216 158.217 158.218 158.219 158.220 158.221 158.222 158.223 158.224 158.225 158.226 158.227 158.228 158.229 158.230 158.231 158.232 158.233 158.234 158.235 158.236 158.237 158.238 158.239 158.240 158.241 158.242 158.243 158.244 158.245 158.246 158.247 158.248 158.249 158.250 158.251 158.252 158.253 158.254 158.255 158.256 158.257 158.258 158.259 158.260 158.261 158.262 158.263 158.264 158.265 158.266 158.267 158.268 158.269 158.270 158.271 158.272 158.273 158.274 158.275 158.276 158.277 158.278 158.279 158.280 158.281 158.282 158.283 158.284 158.285 158.286 158.287 158.288 158.289 158.290 158.291 158.292 158.293 158.294 158.295 158.296 158.297 158.298 158.299 158.300 158.301 158.302 158.303 158.304 158.305 158.306 158.307 158.308 158.309 158.310 158.311 158.312 158.313 158.314 158.315 158.316 158.317 158.318 158.319 158.320 158.321 158.322 158.323 158.324 158.325 158.326 158.327 158.328 158.329 158.330 158.331 158.332 158.333 158.334 158.335 158.336 158.337 158.338 158.339 158.340 158.341 158.342 158.343 158.344 158.345 158.346 158.347 158.348 158.349 158.350 158.351 158.352 158.353 158.354 158.355 158.356 158.357 158.358 158.359 158.360 158.361 158.362 158.363 158.364 158.365 158.366 158.367 158.368 158.369 158.370 158.371 158.372 158.373 158.374 158.375 158.376 158.377 158.378 158.379 158.380 158.381 "Population, MSA - Economic Data Series | FRED | St. Louis Fed". fred.stlouisfed.org. Retrieved 18 April 2023.
- ↑ 159.00 159.01 159.02 159.03 159.04 159.05 159.06 159.07 159.08 159.09 159.10 159.11 159.12 159.13 159.14 159.15 159.16 159.17 159.18 159.19 159.20 159.21 159.22 159.23 159.24 159.25 159.26 159.27 159.28 159.29 159.30 159.31 159.32 159.33 159.34 159.35 159.36 159.37 159.38 159.39 159.40 159.41 159.42 159.43 159.44 159.45 159.46 159.47 159.48 159.49 159.50 159.51 159.52 159.53 159.54 159.55 159.56 159.57 159.58 159.59 159.60 159.61 159.62 159.63 159.64 159.65 159.66 159.67 159.68 159.69 159.70 159.71 159.72 159.73 159.74 ec.europa.eu https://ec.europa.eu/eurostat/databrowser/view/met_10r_3gdp/default/table?lang=en. Retrieved 23 May 2023.
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(help) - ↑ 160.00 160.01 160.02 160.03 160.04 160.05 160.06 160.07 160.08 160.09 160.10 160.11 160.12 160.13 160.14 160.15 160.16 160.17 160.18 160.19 160.20 160.21 160.22 160.23 160.24 160.25 160.26 160.27 160.28 160.29 160.30 160.31 160.32 160.33 160.34 160.35 160.36 160.37 160.38 160.39 160.40 160.41 160.42 160.43 160.44 160.45 160.46 160.47 160.48 160.49 160.50 160.51 160.52 160.53 160.54 160.55 160.56 160.57 160.58 160.59 160.60 160.61 160.62 160.63 160.64 160.65 160.66 160.67 160.68 160.69 160.70 160.71 160.72 160.73 ec.europa.eu https://ec.europa.eu/eurostat/databrowser/view/tgs00003/default/table?lang=en. Retrieved 23 May 2023.
{{cite web}}
: Missing or empty|title=
(help) - ↑ 161.00 161.01 161.02 161.03 161.04 161.05 161.06 161.07 161.08 161.09 161.10 161.11 161.12 161.13 161.14 161.15 161.16 161.17 161.18 161.19 161.20 161.21 161.22 161.23 161.24 161.25 161.26 161.27 161.28 161.29 161.30 161.31 161.32 161.33 "Metropolitan areas". stats.oecd.org. Retrieved 26 May 2023.
- ↑ 162.0 162.1 (PDF) https://www.collectivites-locales.gouv.fr/files/Accueil/DESL/2021/Interco/listem%C3%A9tropolejanvier2021.pdf. Retrieved 30 May 2023.
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(help) - ↑ "Cork (Cork City / Cork, All Towns, Ireland) - Population Statistics, Charts, Map, Location, Weather and Web Information". www.citypopulation.de. Retrieved 30 May 2023.
- ↑ "Utrecht (Province, Netherlands) - Population Statistics, Charts, Map and Location". www.citypopulation.de. Retrieved 24 May 2023.
- ↑ "Population density by canton and municipality on 1st January(Inhabitants per km2) 1821 - 2021". www.statistiques.public.lu. Statistics portal of the Grand-Duchy of Luxembourg. Retrieved 23 January 2022.
- ↑ "Braunschweig (Niedersachsen, Urban Agglomerations, Germany) - Population Statistics, Charts, Map, Location, Weather and Web Information". www.citypopulation.de. Retrieved 29 May 2023.
- ↑ "Salzgitter (Salzgitter, Lower Saxony, Germany) - Population Statistics, Charts, Map, Location, Weather and Web Information". www.citypopulation.de. Retrieved 29 May 2023.
- ↑ "Wolfsburg (Niedersachsen, Urban Agglomerations, Germany) - Population Statistics, Charts, Map, Location, Weather and Web Information". www.citypopulation.de. Retrieved 29 May 2023.
- ↑ "Malmö Metropolitan Area (Sweden): Demographic Statistical Areas - Population Statistics, Charts and Map". www.citypopulation.de. Retrieved 29 May 2023.
- ↑ "Communes in Nantes (Loire-Atlantique, France) - Population Statistics, Charts, Map, Location, Weather and Web Information". www.citypopulation.de. Retrieved 30 May 2023.
- ↑ "Rhein-Neckar-Kreis (County, Baden-Württemberg, Germany) - Population Statistics, Charts, Map and Location". www.citypopulation.de. Retrieved 30 May 2023.
- ↑ "Urban Settlements in Aarhus (Midtjylland, Denmark) - Population Statistics, Charts, Map, Location, Weather and Web Information". www.citypopulation.de. Retrieved 30 May 2023.
- ↑ "Communes in Grenoble (Isère, France) - Population Statistics, Charts, Map, Location, Weather and Web Information". www.citypopulation.de. Retrieved 30 May 2023.
- ↑ "Eindhoven (North Brabant, Netherlands) - Population Statistics, Charts, Map, Location, Weather and Web Information". www.citypopulation.de. Retrieved 30 May 2023.
- ↑ "Aire d'attraction des villes 2020 de Strasbourg (partie française) (010)". insee.fr. Retrieved 24 September 2020.
- ↑ "Communes in Rennes (Ille-et-Vilaine, France) - Population Statistics, Charts, Map, Location, Weather and Web Information". citypopulation.de. Retrieved 30 May 2023.
- ↑ "Bilancio demografico mensile". demo.istat.it. Retrieved 30 May 2023.
- ↑ (PDF) https://www.collectivites-locales.gouv.fr/files/Accueil/DESL/2021/Interco/listem%C3%A9tropolejanvier2021.pdf. Retrieved 30 May 2023.
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(help) - ↑ "Karlsruhe (Baden-Württemberg / Rheinland-Pfalz, Urban Agglomerations, Germany) - Population Statistics, Charts, Map, Location, Weather and Web Information". www.citypopulation.de. Retrieved 30 May 2023.
- ↑ "Bilancio demografico mensile". demo.istat.it. Retrieved 30 May 2023.
- ↑ "Comunitat Valenciana / Comunidad Valenciana (Spain): Provinces, Major Cities & Municipalities - Population Statistics, Maps, Charts, Weather and Web Information". www.citypopulation.de. Retrieved 30 May 2023.
- ↑ "Cities and Municipalities in Gent (Oost-Vlaanderen, Belgium) - Population Statistics, Charts, Map, Location, Weather and Web Information". www.citypopulation.de. Retrieved 2 June 2023.
- ↑ "Ingolstadt (Bayern, Urban Agglomerations, Germany) - Population Statistics, Charts, Map, Location, Weather and Web Information". www.citypopulation.de. Retrieved 2 June 2023.
- ↑ ISTAT. (1983). L'Italia : Istat. Istat. OCLC 889439927. Retrieved 26 February 2020.
- ↑ "Veneto / Venetia (Italy): Provinces, Major Cities & Communes - Population Statistics, Maps, Charts, Weather and Web Information". www.citypopulation.de. Retrieved 2 June 2023.
- ↑ "Mannheim - Ludwigshafen - Heidelberg (Baden-Württemberg / Rheinland-Pfalz / Hessen, Urban Agglomerations, Germany) - Population Statistics, Charts, Map, Location, Weather and Web Information". www.citypopulation.de. Retrieved 2 June 2023.
- ↑ "Murcia (Province, Spain) - Population Statistics, Charts, Map and Location". www.citypopulation.de. Retrieved 2 June 2023.