World Urbanization Prospects
editRegion | Country | City | Statistical concept | Pop. (2000) | → | Pop. (2018) | → | Pop. (2030) | |||
---|---|---|---|---|---|---|---|---|---|---|---|
— | — | 373 | Eastern Africa | Burundi | Bujumbura | City proper | 0.330 | +172.42% | 0.899 | +95.77% | 1.760 |
— | — | 505 | Eastern Africa | Eritrea | Asmara | City proper | 0.449 | +99.55% | 0.896 | +53.12% | 1.372 |
129 | 92 | 61 | Eastern Africa | Ethiopia | Addis Ababa | City proper | 2.377 | +85.11% | 4.400 | +67.09% | 7.352 |
— | 434 | 339 | Eastern Africa | Kenya | Mombasa | City proper | 0.683 | +77.75% | 1.214 | +55.60% | 1.889 |
143 | 93 | 66 | Eastern Africa | Kenya | Nairobi | City proper | 2.214 | +98.10% | 4.386 | +60.31% | 7.031 |
247 | 153 | 104 | Eastern Africa | Madagascar | Antananarivo | Urban agglomeration | 1.361 | +124.69% | 3.058 | +69.69% | 5.189 |
— | — | 499 | Eastern Africa | Malawi | Blantyre | City proper | 0.529 | +66.16% | 0.879 | +58.02% | 1.389 |
— | 532 | 376 | Eastern Africa | Malawi | Lilongwe | City proper | 0.476 | +116.39% | 1.030 | +69.71% | 1.748 |
358 | 488 | 449 | Eastern Africa | Mozambique | Maputo | City proper | 1.019 | +8.15% | 1.102 | +34.85% | 1.486 |
— | 320 | 258 | Eastern Africa | Mozambique | Matola | City proper | 0.498 | +228.31% | 1.635 | +47.89% | 2.418 |
— | — | 532 | Eastern Africa | Mozambique | Nampula | City proper | 0.354 | +118.93% | 0.775 | +68.13% | 1.303 |
— | 519 | 422 | Eastern Africa | Rwanda | Kigali | City proper | 0.498 | +112.45% | 1.058 | +48.20% | 1.568 |
— | — | 441 | Eastern Africa | Somaliland | Hargeisa | Urban agglomeration | 0.368 | +145.92% | 0.905 | +66.52% | 1.507 |
— | — | 697 | Eastern Africa | Somalia | Merca | Urban agglomeration | 0.247 | +146.56% | 0.609 | +67.00% | 1.017 |
288 | 244 | 173 | Eastern Africa | Somalia | Mogadishu | Urban agglomeration | 1.201 | +73.36% | 2.082 | +67.96% | 3.497 |
272 | 156 | 96 | Eastern Africa | Uganda | Kampala | Urban agglomeration | 1.233 | +142.17% | 2.986 | +84.39% | 5.506 |
138 | 64 | 38 | Eastern Africa | Tanzania | Dar es Salaam | Urban agglomeration | 2.272 | +166.20% | 6.048 | +78.39% | 10.789 |
— | 546 | 356 | Eastern Africa | Tanzania | Mwanza | City proper | 0.342 | +193.27% | 1.003 | +82.15% | 1.827 |
— | — | 635 | Eastern Africa | Tanzania | Zanzibar | City proper | 0.288 | +125.69% | 0.650 | +68.62% | 1.096 |
— | — | 704 | Eastern Africa | Zambia | Kitwe | City proper | 0.363 | +76.86% | 0.642 | +56.54% | 1.005 |
335 | 196 | 141 | Eastern Africa | Zambia | Lusaka | Urban agglomeration | 1.073 | +135.23% | 2.524 | +69.06% | 4.267 |
241 | 345 | 349 | Eastern Africa | Zimbabwe | Harare | City proper | 1.379 | +9.86% | 1.515 | +21.78% | 1.845 |
— | — | 665 | Middle Africa | Angola | Benguela | Urban agglomeration | 0.313 | +110.22% | 0.658 | +62.01% | 1.066 |
— | — | 570 | Middle Africa | Angola | Cabinda (city) | Urban agglomeration | 0.258 | +170.54% | 0.698 | +73.35% | 1.210 |
104 | 44 | 33 | Middle Africa | Angola | Luanda | Urban agglomeration | 2.829 | +174.80% | 7.774 | +56.02% | 12.129 |
— | — | 542 | Middle Africa | Angola | Lubango | Urban agglomeration | 0.289 | +158.48% | 0.747 | +71.08% | 1.278 |
— | — | 672 | Middle Africa | Angola | Malanje | Urban agglomeration | 0.195 | +202.56% | 0.590 | +78.81% | 1.055 |
214 | 130 | 107 | Middle Africa | Cameroon | Douala | Urban agglomeration | 1.490 | +128.99% | 3.412 | +49.82% | 5.112 |
251 | 120 | 89 | Middle Africa | Cameroon | Yaoundé | Urban agglomeration | 1.351 | +170.61% | 3.656 | +56.84% | 5.734 |
— | — | 578 | Middle Africa | Central African Republic | Bangui | Urban agglomeration | 0.579 | +46.98% | 0.851 | +41.01% | 1.200 |
— | 396 | 300 | Middle Africa | Chad | N'Djamena | City proper | 0.690 | +91.74% | 1.323 | +60.39% | 2.122 |
356 | 225 | 185 | Middle Africa | Republic of the Congo | Brazzaville | City proper | 1.022 | +118.20% | 2.230 | +47.62% | 3.292 |
— | 466 | 399 | Middle Africa | Republic of the Congo | Pointe-Noire | City proper | 0.539 | +111.13% | 1.138 | +46.22% | 1.664 |
— | — | 391 | Middle Africa | Democratic Republic of the Congo | Bukavu | City proper | 0.384 | +153.39% | 0.973 | +74.20% | 1.695 |
— | — | 619 | Middle Africa | Democratic Republic of the Congo | Bunia | City proper | 0.176 | +238.07% | 0.595 | +88.74% | 1.123 |
— | — | 695 | Middle Africa | Democratic Republic of the Congo | Goma | City proper | 0.198 | +185.86% | 0.566 | +79.86% | 1.018 |
— | 391 | 284 | Middle Africa | Democratic Republic of the Congo | Kananga | City proper | 0.604 | +121.03% | 1.335 | +67.79% | 2.240 |
38 | 21 | 10 | Middle Africa | Democratic Republic of the Congo | Kinshasa | Urban agglomeration | 6.140 | +114.51% | 13.171 | +66.38% | 21.914 |
— | 456 | 335 | Middle Africa | Democratic Republic of the Congo | Kisangani | City proper | 0.586 | +99.15% | 1.167 | +63.07% | 1.903 |
323 | 221 | 154 | Middle Africa | Democratic Republic of the Congo | Lubumbashi | City proper | 1.089 | +109.46% | 2.281 | +65.32% | 3.771 |
363 | 217 | 152 | Middle Africa | Democratic Republic of the Congo | Mbuji-Mayi | City proper | 1.011 | +127.99% | 2.305 | +69.15% | 3.899 |
— | — | 457 | Middle Africa | Democratic Republic of the Congo | Tshikapa | City proper | 0.291 | +182.13% | 0.821 | +79.29% | 1.472 |
149 | 183 | 186 | Northern Africa | Algeria | Algiers | Urban agglomeration | 2.141 | +25.83% | 2.694 | +21.12% | 3.263 |
— | — | 679 | Northern Africa | Algeria | Oran | Urban agglomeration | 0.749 | +17.62% | 0.881 | +18.96% | 1.048 |
77 | 79 | 77 | Northern Africa | Egypt | Alexandria | City proper | 3.546 | +43.43% | 5.086 | +26.17% | 6.417 |
9 | 6 | 5 | Northern Africa | Egypt | Cairo | Metropolitan area | 13.626 | +47.34% | 20.076 | +27.10% | 25.517 |
— | — | 622 | Northern Africa | Libya | Misrata | Urban agglomeration | 0.295 | +171.53% | 0.801 | +39.58% | 1.118 |
356 | 459 | 545 | Northern Africa | Libya | Tripoli, Libya | City proper | 1.022 | +13.31% | 1.158 | +9.84% | 1.272 |
— | — | 626 | Northern Africa | Morocco | Agadir | Urban agglomeration | 0.610 | +45.57% | 0.888 | +24.77% | 1.108 |
91 | 119 | 137 | Northern Africa | Morocco | Casablanca | Urban agglomeration | 3.134 | +17.55% | 3.684 | +18.05% | 4.349 |
— | 448 | 464 | Northern Africa | Morocco | Fez, Morocco | Urban agglomeration | 0.868 | +36.41% | 1.184 | +22.89% | 1.455 |
— | — | 592 | Northern Africa | Morocco | Marrakesh | City proper | 0.751 | +29.96% | 0.976 | +20.80% | 1.179 |
212 | 274 | 289 | Northern Africa | Morocco | Rabat | Urban agglomeration | 1.507 | +22.56% | 1.847 | +18.68% | 2.192 |
— | 482 | 438 | Northern Africa | Morocco | Tangier | Urban agglomeration | 0.591 | +88.83% | 1.116 | +35.93% | 1.517 |
80 | 71 | 58 | Northern Africa | Sudan | Khartoum | Urban agglomeration | 3.505 | +57.89% | 5.534 | +44.98% | 8.023 |
— | — | 502 | Northern Africa | Sudan | Nyala, South Darfur | City proper | 0.330 | +152.73% | 0.834 | +65.11% | 1.377 |
181 | 218 | 231 | Northern Africa | Tunisia | Tunis | Urban agglomeration | 1.769 | +29.51% | 2.291 | +17.98% | 2.703 |
105 | 91 | 97 | Southern Africa | South Africa | Cape Town | Urban agglomeration | 2.785 | +59.07% | 4.430 | +23.43% | 5.468 |
116 | 147 | 167 | Southern Africa | South Africa | Durban | Urban agglomeration | 2.625 | +19.39% | 3.134 | +12.80% | 3.535 |
132 | 116 | 121 | Southern Africa | South Africa | City of Ekurhuleni Metropolitan Municipality | Urban agglomeration | 2.339 | +59.94% | 3.741 | +22.99% | 4.601 |
93 | 73 | 67 | Southern Africa | South Africa | Johannesburg | Urban agglomeration | 3.046 | +80.11% | 5.486 | +27.20% | 6.978 |
— | 426 | 474 | Southern Africa | South Africa | Gqeberha | Metropolitan area | 0.974 | +26.39% | 1.231 | +16.08% | 1.429 |
325 | 205 | 187 | Southern Africa | South Africa | Pretoria | Urban agglomeration | 1.084 | +119.37% | 2.378 | +35.37% | 3.219 |
— | — | 686 | Southern Africa | South Africa | West Rand District Municipality | Urban agglomeration | 0.647 | +35.24% | 0.875 | +18.17% | 1.034 |
— | — | 398 | Western Africa | Benin | Abomey-Calavi | Urban agglomeration | 0.266 | +248.87% | 0.928 | +79.53% | 1.666 |
— | — | 423 | Western Africa | Burkina Faso | Bobo-Dioulasso | City proper | 0.365 | +140.82% | 0.879 | +78.16% | 1.566 |
— | 193 | 129 | Western Africa | Burkina Faso | Ouagadougou | City proper | 0.921 | +174.81% | 2.531 | +74.87% | 4.426 |
94 | 83 | 64 | Western Africa | Ivory Coast | Abidjan | City proper | 3.007 | +63.65% | 4.921 | +45.01% | 7.136 |
192 | 202 | 191 | Western Africa | Ghana | Accra | Metropolitan area | 1.668 | +46.22% | 2.439 | +30.67% | 3.187 |
291 | 152 | 118 | Western Africa | Ghana | Kumasi | Metropolitan area | 1.187 | +158.21% | 3.065 | +52.72% | 4.681 |
— | — | 515 | Western Africa | Ghana | Sekondi-Takoradi | Metropolitan area | 0.294 | +190.82% | 0.855 | +57.78% | 1.349 |
289 | 275 | 232 | Western Africa | Guinea | Conakry | City proper | 1.192 | +54.61% | 1.843 | +45.79% | 2.687 |
— | 370 | 301 | Western Africa | Liberia | Monrovia | Urban agglomeration | 0.836 | +69.62% | 1.418 | +49.51% | 2.120 |
304 | 201 | 148 | Western Africa | Mali | Bamako | City proper | 1.142 | +114.27% | 2.447 | +60.69% | 3.932 |
— | 437 | 333 | Western Africa | Mauritania | Nouakchott | City proper | 0.553 | +117.90% | 1.205 | +59.75% | 1.925 |
— | 434 | 321 | Western Africa | Niger | Niamey | City proper | 0.696 | +74.43% | 1.214 | +63.76% | 1.988 |
— | 534 | 437 | Western Africa | Nigeria | Aba, Nigeria | Urban agglomeration | 0.630 | +62.38% | 1.023 | +49.27% | 1.527 |
— | 164 | 106 | Western Africa | Nigeria | Abuja | Urban agglomeration | 0.833 | +250.42% | 2.919 | +75.37% | 5.119 |
— | 322 | 255 | Western Africa | Nigeria | Benin City | Urban agglomeration | 0.975 | +66.97% | 1.628 | +50.55% | 2.451 |
— | — | 649 | Western Africa | Nigeria | Enugu | City proper | 0.467 | +56.96% | 0.733 | +48.02% | 1.085 |
140 | 131 | 112 | Western Africa | Nigeria | Ibadan | Urban agglomeration | 2.236 | +51.30% | 3.383 | +46.50% | 4.956 |
— | — | 465 | Western Africa | Nigeria | Ikorodu | City proper | 0.300 | +179.33% | 0.838 | +73.51% | 1.454 |
— | — | 527 | Western Africa | Nigeria | Ilorin | Urban agglomeration | 0.633 | +43.60% | 0.909 | +44.55% | 1.314 |
— | — | 561 | Western Africa | Nigeria | Jos | Urban agglomeration | 0.604 | +42.05% | 0.858 | +44.06% | 1.236 |
— | 500 | 447 | Western Africa | Nigeria | Kaduna | City proper | 0.881 | +22.93% | 1.083 | +38.41% | 1.499 |
119 | 113 | 94 | Western Africa | Nigeria | Kano (city) | Urban agglomeration | 2.602 | +46.81% | 3.820 | +45.31% | 5.551 |
28 | 18 | 11 | Western Africa | Nigeria | Lagos | Urban agglomeration | 7.281 | +84.91% | 13.463 | +53.01% | 20.600 |
— | — | 612 | Western Africa | Nigeria | Lokoja | Urban agglomeration | 0.149 | +300.67% | 0.597 | +91.12% | 1.141 |
— | — | 661 | Western Africa | Nigeria | Maiduguri | City proper | 0.580 | +31.03% | 0.760 | +40.92% | 1.071 |
— | — | 400 | Western Africa | Nigeria | Nnewi | City proper | 0.300 | +210.00% | 0.930 | +78.39% | 1.659 |
— | 411 | 297 | Western Africa | Nigeria | Onitsha | Urban agglomeration | 0.533 | +141.09% | 1.285 | +66.38% | 2.138 |
— | — | 537 | Western Africa | Nigeria | Owerri | City proper | 0.395 | +104.05% | 0.806 | +59.06% | 1.282 |
321 | 180 | 122 | Western Africa | Nigeria | Port Harcourt | Urban agglomeration | 1.091 | +150.32% | 2.731 | +68.25% | 4.595 |
— | — | 574 | Western Africa | Nigeria | Umuahia | City proper | 0.243 | +184.36% | 0.691 | +74.24% | 1.204 |
— | 539 | 370 | Western Africa | Nigeria | Uyo | Urban agglomeration | 0.350 | +189.14% | 1.012 | +75.00% | 1.771 |
— | — | 530 | Western Africa | Nigeria | Warri | Urban agglomeration | 0.307 | +152.12% | 0.774 | +68.48% | 1.304 |
172 | 157 | 139 | Western Africa | Senegal | Dakar | Urban agglomeration | 1.862 | +59.94% | 2.978 | +45.70% | 4.339 |
— | 469 | 410 | Western Africa | Sierra Leone | Freetown | City proper | 0.690 | +64.64% | 1.136 | +41.29% | 1.605 |
355 | 299 | 249 | Western Africa | Togo | Lomé | Urban agglomeration | 1.023 | +70.67% | 1.746 | +42.96% | 2.496 |
239 | 326 | 344 | Eastern Asia | China | Anshan | Urban agglomeration | 1.384 | +15.61% | 1.600 | +16.06% | 1.857 |
— | 394 | 337 | Eastern Asia | China | Anyang | Urban agglomeration | 0.548 | +142.34% | 1.328 | +42.55% | 1.893 |
— | — | 661 | Eastern Asia | China | Baishan | Urban agglomeration | 0.298 | +150.00% | 0.745 | +43.76% | 1.071 |
336 | 268 | 266 | Eastern Asia | China | Baoding | Urban agglomeration | 1.070 | +76.54% | 1.889 | +24.67% | 2.355 |
— | 491 | 478 | Eastern Asia | China | Baoji | Urban agglomeration | 0.638 | +72.10% | 1.098 | +29.51% | 1.422 |
233 | 242 | 239 | Eastern Asia | China | Baotou | Urban agglomeration | 1.406 | +49.08% | 2.096 | +24.43% | 2.608 |
— | — | 493 | Eastern Asia | China | Bazhong | Urban agglomeration | 0.212 | +304.72% | 0.858 | +62.94% | 1.398 |
14 | 8 | 7 | Eastern Asia | China | Beijing | Urban agglomeration | 10.285 | +90.74% | 19.618 | +23.77% | 24.282 |
— | — | 681 | Eastern Asia | China | Bengbu | Urban agglomeration | 0.687 | +27.66% | 0.877 | +19.04% | 1.044 |
— | 480 | 516 | Eastern Asia | China | Benxi | Urban agglomeration | 0.857 | +30.92% | 1.122 | +20.14% | 1.348 |
— | 548 | 507 | Eastern Asia | China | Binzhou | Urban agglomeration | 0.415 | +140.96% | 1.000 | +37.10% | 1.371 |
100 | 99 | 101 | Eastern Asia | China | Changchun | Urban agglomeration | 2.892 | +46.65% | 4.241 | +23.96% | 5.257 |
— | — | 701 | Eastern Asia | China | Changde | Urban agglomeration | 0.454 | +72.47% | 0.783 | +29.25% | 1.012 |
148 | 95 | 95 | Eastern Asia | China | Changsha | Urban agglomeration | 2.182 | +99.13% | 4.345 | +27.16% | 5.525 |
— | — | 566 | Eastern Asia | China | Changshu | City proper | 0.333 | +155.56% | 0.851 | +43.83% | 1.224 |
— | — | 691 | Eastern Asia | China | Changzhi | Urban agglomeration | 0.494 | +62.55% | 0.803 | +27.40% | 1.023 |
189 | 134 | 125 | Eastern Asia | China | Changzhou | Urban agglomeration | 1.698 | +98.59% | 3.372 | +34.22% | 4.526 |
— | 378 | 401 | Eastern Asia | China | Chaozhou | Urban agglomeration | 0.691 | +101.01% | 1.389 | +19.08% | 1.654 |
— | — | 607 | Eastern Asia | China | Chengde | Urban agglomeration | 0.319 | +150.47% | 0.799 | +43.43% | 1.146 |
52 | 40 | 39 | Eastern Asia | China | Chengdu | Urban agglomeration | 4.607 | +91.30% | 8.813 | +21.73% | 10.728 |
— | — | 552 | Eastern Asia | China | Chenzhou | Urban agglomeration | 0.339 | +156.34% | 0.869 | +44.30% | 1.254 |
— | 487 | 487 | Eastern Asia | China | Chifeng | Urban agglomeration | 0.677 | +63.22% | 1.105 | +27.24% | 1.406 |
25 | 14 | 14 | Eastern Asia | China | Chongqing | Urban agglomeration | 7.863 | +88.71% | 14.838 | +32.42% | 19.649 |
— | 353 | 313 | Eastern Asia | China | Cixi, Zhejiang | Urban agglomeration | 0.676 | +118.93% | 1.480 | +38.38% | 2.048 |
92 | 76 | 69 | Eastern Asia | China | Dalian | Urban agglomeration | 3.092 | +71.41% | 5.300 | +29.21% | 6.848 |
— | — | 698 | Eastern Asia | China | Dandong | Urban agglomeration | 0.679 | +25.77% | 0.854 | +18.74% | 1.014 |
328 | 295 | 280 | Eastern Asia | China | Daqing | Urban agglomeration | 1.082 | +62.94% | 1.763 | +27.45% | 2.247 |
343 | 315 | 303 | Eastern Asia | China | Datong | Urban agglomeration | 1.049 | +58.15% | 1.659 | +26.70% | 2.102 |
— | — | 665 | Eastern Asia | China | Deyang | Urban agglomeration | 0.411 | +94.40% | 0.799 | +33.42% | 1.066 |
— | — | 565 | Eastern Asia | China | Dezhou | Urban agglomeration | 0.473 | +94.29% | 0.919 | +33.51% | 1.227 |
73 | 49 | 57 | Eastern Asia | China | Dongguan | Urban agglomeration | 3.633 | +102.59% | 7.360 | +12.49% | 8.279 |
— | 437 | 427 | Eastern Asia | China | Dongying | Urban agglomeration | 0.706 | +70.68% | 1.205 | +28.88% | 1.553 |
65 | 51 | 56 | Eastern Asia | China | Foshan | Urban agglomeration | 3.831 | +87.84% | 7.196 | +16.04% | 8.350 |
248 | 409 | 483 | Eastern Asia | China | Fushun | Urban agglomeration | 1.358 | −5.15% | 1.288 | +9.94% | 1.416 |
— | — | 549 | Eastern Asia | China | Fuyang | Urban agglomeration | 0.566 | +72.79% | 0.978 | +29.04% | 1.262 |
137 | 126 | 134 | Eastern Asia | China | Fuzhou | Urban agglomeration | 2.279 | +54.98% | 3.532 | +23.92% | 4.377 |
— | — | 551 | Eastern Asia | China | Fuzhou, Jiangxi | Urban agglomeration | 0.411 | +121.41% | 0.910 | +38.35% | 1.259 |
— | 459 | 393 | Eastern Asia | China | Ganzhou | Urban agglomeration | 0.374 | +209.63% | 1.158 | +46.11% | 1.692 |
26 | 22 | 22 | Eastern Asia | China | Guangzhou | Urban agglomeration | 7.812 | +61.78% | 12.638 | +26.79% | 16.024 |
— | — | 639 | Eastern Asia | China | Guigang | Urban agglomeration | 0.452 | +85.40% | 0.838 | +30.31% | 1.092 |
— | 492 | 522 | Eastern Asia | China | Guilin | Urban agglomeration | 0.805 | +36.15% | 1.096 | +21.26% | 1.329 |
— | — | 583 | Eastern Asia | China | Guiping | Urban agglomeration | 0.277 | +187.73% | 0.797 | +49.06% | 1.188 |
173 | 146 | 147 | Eastern Asia | China | Guiyang | Urban agglomeration | 1.860 | +68.60% | 3.136 | +28.48% | 4.029 |
59 | 60 | 60 | Eastern Asia | China | Harbin | Urban agglomeration | 4.100 | +49.15% | 6.115 | +24.24% | 7.597 |
— | 283 | 278 | Eastern Asia | China | Haikou | Urban agglomeration | 0.907 | +99.01% | 1.805 | +24.82% | 2.253 |
— | 195 | 177 | Eastern Asia | China | Handan | Urban agglomeration | 0.925 | +173.30% | 2.528 | +35.40% | 3.423 |
75 | 50 | 52 | Eastern Asia | China | Hangzhou | Urban agglomeration | 3.570 | +102.69% | 7.236 | +27.97% | 9.260 |
208 | 109 | 102 | Eastern Asia | China | Hefei | Urban agglomeration | 1.532 | +159.79% | 3.980 | +31.11% | 5.218 |
— | — | 635 | Eastern Asia | China | Hengshui | Urban agglomeration | 0.343 | +128.86% | 0.785 | +39.62% | 1.096 |
— | 365 | 341 | Eastern Asia | China | Hengyang | Urban agglomeration | 0.793 | +80.71% | 1.433 | +31.12% | 1.879 |
367 | 255 | 229 | Eastern Asia | China | Hohhot | Urban agglomeration | 1.005 | +99.90% | 2.009 | +34.84% | 2.709 |
— | 203 | 176 | Eastern Asia | China | Huai'an | Urban agglomeration | 0.956 | +153.14% | 2.420 | +41.74% | 3.430 |
— | 507 | 496 | Eastern Asia | China | Huaibei | Urban agglomeration | 0.617 | +74.39% | 1.076 | +29.55% | 1.394 |
343 | 376 | 396 | Eastern Asia | China | Huainan | Urban agglomeration | 1.049 | +32.79% | 1.393 | +20.39% | 1.677 |
370 | 208 | 198 | Eastern Asia | China | Huizhou | Urban agglomeration | 1.003 | +135.29% | 2.360 | +32.46% | 3.126 |
— | — | 577 | Eastern Asia | China | Huzhou | Urban agglomeration | 0.543 | +72.01% | 0.934 | +28.69% | 1.202 |
98 | 80 | 76 | Eastern Asia | China | Jinan | Urban agglomeration | 2.923 | +72.84% | 5.052 | +29.57% | 6.546 |
— | 317 | 326 | Eastern Asia | China | Jiangmen | Urban agglomeration | 0.834 | +96.64% | 1.640 | +19.27% | 1.956 |
— | — | 665 | Eastern Asia | China | Jiangyin | Urban agglomeration | 0.362 | +115.19% | 0.779 | +36.84% | 1.066 |
— | 464 | 402 | Eastern Asia | China | Jiaxing | Urban agglomeration | 0.440 | +159.09% | 1.140 | +44.56% | 1.648 |
— | 522 | 455 | Eastern Asia | China | Jieyang | Urban agglomeration | 0.446 | +135.20% | 1.049 | +40.42% | 1.473 |
261 | 333 | 351 | Eastern Asia | China | Jilin City | Urban agglomeration | 1.311 | +19.68% | 1.569 | +17.14% | 1.838 |
— | 544 | 573 | Eastern Asia | China | Jingzhou | Urban agglomeration | 0.761 | +32.46% | 1.008 | +19.64% | 1.206 |
— | 533 | 467 | Eastern Asia | China | Jinhua | Urban agglomeration | 0.353 | +190.08% | 1.024 | +41.31% | 1.447 |
316 | 360 | 381 | Eastern Asia | China | Jining | Urban agglomeration | 1.112 | +30.40% | 1.450 | +19.86% | 1.738 |
— | 489 | 513 | Eastern Asia | China | Jinzhou | Urban agglomeration | 0.770 | +42.99% | 1.101 | +22.98% | 1.354 |
— | — | 628 | Eastern Asia | China | Jiujiang | Urban agglomeration | 0.527 | +64.33% | 0.866 | +27.48% | 1.104 |
— | — | 634 | Eastern Asia | China | Jixi | Urban agglomeration | 0.741 | +24.83% | 0.925 | +18.59% | 1.097 |
— | 446 | 416 | Eastern Asia | China | Kaifeng | Urban agglomeration | 0.614 | +93.16% | 1.186 | +33.90% | 1.588 |
— | — | 693 | Eastern Asia | China | Korla | Urban agglomeration | 0.227 | +198.68% | 0.678 | +50.74% | 1.022 |
114 | 100 | 100 | Eastern Asia | China | Kunming | Urban agglomeration | 2.654 | +59.38% | 4.230 | +26.12% | 5.335 |
— | — | 623 | Eastern Asia | China | Laiwu (former) | Urban agglomeration | 0.480 | +77.71% | 0.853 | +30.60% | 1.114 |
170 | 161 | 157 | Eastern Asia | China | Lanzhou | Urban agglomeration | 1.890 | +55.34% | 2.936 | +25.75% | 3.692 |
— | — | 611 | Eastern Asia | China | Leiyang | Urban agglomeration | 0.254 | +198.43% | 0.758 | +50.66% | 1.142 |
— | — | 560 | Eastern Asia | China | Leshan | Urban agglomeration | 0.454 | +101.54% | 0.915 | +35.30% | 1.238 |
— | 306 | 279 | Eastern Asia | China | Lianyungang | Urban agglomeration | 0.769 | +121.46% | 1.703 | +32.06% | 2.249 |
— | — | 637 | Eastern Asia | China | Liling | Urban agglomeration | 0.236 | +206.36% | 0.723 | +51.45% | 1.095 |
— | — | 646 | Eastern Asia | China | Linfen | Urban agglomeration | 0.368 | +114.95% | 0.791 | +37.55% | 1.088 |
307 | 275 | 268 | Eastern Asia | China | Linyi | Urban agglomeration | 1.129 | +63.24% | 1.843 | +26.26% | 2.327 |
— | 513 | 407 | Eastern Asia | China | Lu'an | Urban agglomeration | 0.349 | +204.58% | 1.063 | +51.55% | 1.611 |
— | — | 472 | Eastern Asia | China | Liupanshui | Urban agglomeration | 0.345 | +180.00% | 0.966 | +48.14% | 1.431 |
— | 535 | 404 | Eastern Asia | China | Liuyang | Urban agglomeration | 0.272 | +275.00% | 1.020 | +59.22% | 1.624 |
296 | 253 | 236 | Eastern Asia | China | Liuzhou | Urban agglomeration | 1.168 | +74.83% | 2.042 | +29.33% | 2.641 |
— | — | 491 | Eastern Asia | China | Luohe | Urban agglomeration | 0.304 | +204.28% | 0.925 | +51.35% | 1.400 |
279 | 224 | 208 | Eastern Asia | China | Luoyang | Urban agglomeration | 1.213 | +84.34% | 2.236 | +31.75% | 2.946 |
— | — | 550 | Eastern Asia | China | Ma'anshan | Urban agglomeration | 0.514 | +85.60% | 0.954 | +32.08% | 1.260 |
— | 469 | 459 | Eastern Asia | China | Maoming | Urban agglomeration | 0.654 | +73.70% | 1.136 | +29.31% | 1.469 |
— | 428 | 443 | Eastern Asia | China | Mianyang | Urban agglomeration | 0.850 | +44.47% | 1.228 | +22.48% | 1.504 |
— | — | 654 | Eastern Asia | China | Mudanjiang | Urban agglomeration | 0.665 | +34.59% | 0.895 | +20.89% | 1.082 |
169 | 133 | 128 | Eastern Asia | China | Nanchang | Urban agglomeration | 1.903 | +77.25% | 3.373 | +31.49% | 4.435 |
— | 454 | 424 | Eastern Asia | China | Nanchong | Urban agglomeration | 0.605 | +93.88% | 1.173 | +33.25% | 1.563 |
56 | 41 | 37 | Eastern Asia | China | Nanjing | Urban agglomeration | 4.279 | +92.69% | 8.245 | +33.55% | 11.011 |
183 | 121 | 116 | Eastern Asia | China | Nanning | Urban agglomeration | 1.737 | +108.87% | 3.628 | +30.49% | 4.734 |
366 | 237 | 219 | Eastern Asia | China | Nantong | Urban agglomeration | 1.006 | +111.03% | 2.123 | +33.21% | 2.828 |
— | 499 | 505 | Eastern Asia | China | Nanyang, Henan | Urban agglomeration | 0.697 | +56.10% | 1.088 | +26.10% | 1.372 |
174 | 114 | 105 | Eastern Asia | China | Ningbo | Urban agglomeration | 1.849 | +106.33% | 3.815 | +35.49% | 5.169 |
— | 543 | 555 | Eastern Asia | China | Panjin | Urban agglomeration | 0.683 | +47.73% | 1.009 | +23.89% | 1.250 |
— | 496 | 482 | Eastern Asia | China | Pingdingshan | City proper | 0.632 | +72.94% | 1.093 | +29.64% | 1.417 |
— | — | 619 | Eastern Asia | China | Pingxiang | Urban agglomeration | 0.541 | +62.85% | 0.881 | +27.47% | 1.123 |
— | — | 492 | Eastern Asia | China | Pizhou | Urban agglomeration | 0.348 | +175.29% | 0.958 | +46.03% | 1.399 |
— | 494 | 486 | Eastern Asia | China | Puning | Urban agglomeration | 0.646 | +69.50% | 1.095 | +28.95% | 1.412 |
— | 305 | 246 | Eastern Asia | China | Putian | Urban agglomeration | 0.613 | +179.28% | 1.712 | +47.72% | 2.529 |
84 | 75 | 71 | Eastern Asia | China | Qingdao | Urban agglomeration | 3.363 | +60.01% | 5.381 | +24.21% | 6.684 |
— | 366 | 334 | Eastern Asia | China | Qinhuangdao | Urban agglomeration | 0.744 | +92.47% | 1.432 | +33.17% | 1.907 |
290 | 345 | 360 | Eastern Asia | China | Qiqihar | Urban agglomeration | 1.188 | +27.53% | 1.515 | +19.41% | 1.809 |
— | 334 | 299 | Eastern Asia | China | Quanzhou | Urban agglomeration | 0.764 | +105.24% | 1.568 | +35.97% | 2.132 |
— | — | 588 | Eastern Asia | China | Qujing | Urban agglomeration | 0.362 | +141.16% | 0.873 | +35.62% | 1.184 |
— | — | 695 | Eastern Asia | China | Quzhou | Urban agglomeration | 0.224 | +201.34% | 0.675 | +50.81% | 1.018 |
— | 446 | 419 | Eastern Asia | China | Rizhao | Urban agglomeration | 0.613 | +93.47% | 1.186 | +33.05% | 1.578 |
— | 497 | 462 | Eastern Asia | China | Rui'an | Urban agglomeration | 0.555 | +96.22% | 1.089 | +33.70% | 1.456 |
8 | 3 | 3 | Eastern Asia | China | Shanghai | City proper | 14.247 | +79.56% | 25.582 | +28.48% | 32.869 |
— | — | 702 | Eastern Asia | China | Shangqiu | Urban agglomeration | 0.448 | +73.88% | 0.779 | +29.53% | 1.009 |
— | — | 557 | Eastern Asia | China | Shangrao | Urban agglomeration | 0.480 | +103.12% | 0.975 | +27.49% | 1.243 |
97 | 102 | 108 | Eastern Asia | China | Shantou | Urban agglomeration | 2.930 | +42.46% | 4.174 | +21.78% | 5.083 |
310 | 212 | 189 | Eastern Asia | China | Shaoxing | Urban agglomeration | 1.124 | +109.07% | 2.350 | +36.17% | 3.200 |
50 | 52 | 53 | Eastern Asia | China | Shenyang | Urban agglomeration | 4.737 | +46.11% | 6.921 | +23.81% | 8.569 |
35 | 25 | 24 | Eastern Asia | China | Shenzhen | Urban agglomeration | 6.550 | +81.80% | 11.908 | +22.08% | 14.537 |
120 | 111 | 115 | Eastern Asia | China | Shijiazhuang | Urban agglomeration | 2.591 | +52.45% | 3.950 | +23.34% | 4.872 |
— | 457 | 435 | Eastern Asia | China | Shiyan | Urban agglomeration | 0.631 | +84.15% | 1.162 | +31.93% | 1.533 |
— | 415 | 328 | Eastern Asia | China | Suqian | Urban agglomeration | 0.397 | +221.41% | 1.276 | +52.82% | 1.950 |
— | 510 | 441 | Eastern Asia | China | Suzhou, Anhui | Urban agglomeration | 0.453 | +135.76% | 1.068 | +41.10% | 1.507 |
152 | 58 | 50 | Eastern Asia | China | Suzhou | Urban agglomeration | 2.112 | +200.14% | 6.339 | +48.11% | 9.389 |
— | 408 | 420 | Eastern Asia | China | Tai'an | Urban agglomeration | 0.910 | +41.76% | 1.290 | +22.09% | 1.575 |
124 | 117 | 119 | Eastern Asia | China | Taiyuan | Urban agglomeration | 2.502 | +48.88% | 3.725 | +24.24% | 4.628 |
— | 413 | 405 | Eastern Asia | China | Taizhou, Jiangsu | Urban agglomeration | 0.784 | +63.52% | 1.282 | +26.52% | 1.622 |
— | 280 | 264 | Eastern Asia | China | Taizhou, Zhejiang | City proper | 0.992 | +83.27% | 1.818 | +30.58% | 2.374 |
229 | 144 | 136 | Eastern Asia | China | Tangshan | Urban agglomeration | 1.418 | +121.79% | 3.145 | +38.98% | 4.371 |
— | 495 | 439 | Eastern Asia | China | Tengzhou | Urban agglomeration | 0.489 | +123.72% | 1.094 | +38.39% | 1.514 |
31 | 20 | 23 | Eastern Asia | China | Tianjin | Urban agglomeration | 6.989 | +89.08% | 13.215 | +19.14% | 15.745 |
— | — | 653 | Eastern Asia | China | Tianmen | Urban agglomeration | 0.418 | +93.78% | 0.810 | +33.70% | 1.083 |
176 | 107 | 92 | Eastern Asia | China | Ürümqi | Urban agglomeration | 1.807 | +121.97% | 4.011 | +38.97% | 5.574 |
271 | 198 | 181 | Eastern Asia | China | Weifang | Urban agglomeration | 1.235 | +99.68% | 2.466 | +34.55% | 3.318 |
— | 431 | 405 | Eastern Asia | China | Weihai | Urban agglomeration | 0.620 | +96.13% | 1.216 | +33.39% | 1.622 |
— | — | 538 | Eastern Asia | China | Wenling | Urban agglomeration | 0.516 | +88.18% | 0.971 | +31.93% | 1.281 |
201 | 129 | 130 | Eastern Asia | China | Wenzhou | Urban agglomeration | 1.590 | +115.03% | 3.419 | +29.16% | 4.416 |
33 | 42 | 47 | Eastern Asia | China | Wuhan | Urban agglomeration | 6.638 | +23.17% | 8.176 | +17.55% | 9.611 |
— | 308 | 252 | Eastern Asia | China | Wuhu | Urban agglomeration | 0.634 | +165.77% | 1.685 | +46.17% | 2.463 |
175 | 145 | 153 | Eastern Asia | China | Wuxi | Urban agglomeration | 1.835 | +71.34% | 3.144 | +21.44% | 3.818 |
66 | 47 | 44 | Eastern Asia | China | Xi'an | Urban agglomeration | 3.788 | +96.52% | 7.444 | +34.12% | 9.984 |
230 | 123 | 135 | Eastern Asia | China | Xiamen | Urban agglomeration | 1.416 | +153.18% | 3.585 | +22.06% | 4.376 |
— | 497 | 507 | Eastern Asia | China | Xiangtan | Urban agglomeration | 0.698 | +56.02% | 1.089 | +25.90% | 1.371 |
286 | 324 | 331 | Eastern Asia | China | Xiangyang | Urban agglomeration | 1.202 | +33.69% | 1.607 | +20.16% | 1.931 |
— | 359 | 342 | Eastern Asia | China | Xining | Urban agglomeration | 0.844 | +72.04% | 1.452 | +29.34% | 1.878 |
— | — | 600 | Eastern Asia | China | Xintai | Urban agglomeration | 0.466 | +87.77% | 0.875 | +32.69% | 1.161 |
— | 526 | 548 | Eastern Asia | China | Xinxiang | Urban agglomeration | 0.762 | +37.01% | 1.044 | +21.26% | 1.266 |
— | — | 645 | Eastern Asia | China | Xinyu | Urban agglomeration | 0.361 | +118.56% | 0.789 | +38.02% | 1.089 |
— | — | 473 | Eastern Asia | China | Xiong'an | Urban agglomeration | 0.125 | +553.60% | 0.817 | +75.03% | 1.430 |
— | — | 570 | Eastern Asia | China | Xuchang | Urban agglomeration | 0.426 | +111.27% | 0.900 | +34.44% | 1.210 |
244 | 249 | 242 | Eastern Asia | China | Xuzhou | Urban agglomeration | 1.367 | +50.26% | 2.054 | +24.34% | 2.554 |
— | 290 | 285 | Eastern Asia | China | Yancheng | Urban agglomeration | 0.923 | +92.74% | 1.779 | +25.41% | 2.231 |
— | — | 660 | Eastern Asia | China | Yangjiang | Urban agglomeration | 0.530 | +59.43% | 0.845 | +26.98% | 1.073 |
275 | 266 | 261 | Eastern Asia | China | Yangzhou | Urban agglomeration | 1.217 | +56.20% | 1.901 | +25.46% | 2.385 |
275 | 209 | 197 | Eastern Asia | China | Yantai | Urban agglomeration | 1.217 | +93.84% | 2.359 | +32.90% | 3.135 |
— | 366 | 327 | Eastern Asia | China | Yichang | Urban agglomeration | 0.692 | +106.94% | 1.432 | +36.31% | 1.952 |
— | — | 544 | Eastern Asia | China | Yichun, Jiangxi | Urban agglomeration | 0.222 | +260.81% | 0.801 | +59.18% | 1.275 |
— | 351 | 329 | Eastern Asia | China | Yinchuan | Urban agglomeration | 0.571 | +159.72% | 1.483 | +30.75% | 1.939 |
— | 466 | 448 | Eastern Asia | China | Yingkou | Urban agglomeration | 0.624 | +82.37% | 1.138 | +31.55% | 1.497 |
— | 429 | 388 | Eastern Asia | China | Yiwu | Urban agglomeration | 0.560 | +119.11% | 1.227 | +38.39% | 1.698 |
— | — | 521 | Eastern Asia | China | Yueqing | Urban agglomeration | 0.479 | +105.22% | 0.983 | +35.61% | 1.333 |
— | — | 602 | Eastern Asia | China | Yueyang | Urban agglomeration | 0.818 | +21.03% | 0.990 | +16.57% | 1.154 |
— | 513 | 555 | Eastern Asia | China | Zaozhuang | Urban agglomeration | 0.853 | +24.62% | 1.063 | +17.59% | 1.250 |
— | 384 | 384 | Eastern Asia | China | Zhangjiakou | Urban agglomeration | 0.878 | +55.69% | 1.367 | +25.82% | 1.720 |
— | — | 649 | Eastern Asia | China | Zhangzhou | Urban agglomeration | 0.416 | +95.19% | 0.812 | +33.62% | 1.085 |
— | 426 | 435 | Eastern Asia | China | Zhanjiang | Urban agglomeration | 0.818 | +50.49% | 1.231 | +24.53% | 1.533 |
— | — | 559 | Eastern Asia | China | Zhaoqing | Urban agglomeration | 0.583 | +66.38% | 0.970 | +27.84% | 1.240 |
126 | 82 | 72 | Eastern Asia | China | Zhengzhou | Urban agglomeration | 2.438 | +102.63% | 4.940 | +35.00% | 6.669 |
— | 479 | 494 | Eastern Asia | China | Zhenjiang | Urban agglomeration | 0.743 | +51.28% | 1.124 | +24.29% | 1.397 |
242 | 169 | 184 | Eastern Asia | China | Zhongshan | Urban agglomeration | 1.375 | +108.87% | 2.872 | +14.97% | 3.302 |
— | — | 615 | Eastern Asia | China | Zhucheng | Urban agglomeration | 0.363 | +125.90% | 0.820 | +38.41% | 1.135 |
369 | 310 | 301 | Eastern Asia | China | Zhuhai | Urban agglomeration | 1.004 | +66.43% | 1.671 | +26.87% | 2.120 |
— | 462 | 496 | Eastern Asia | China | Zhuzhou | Urban agglomeration | 0.819 | +39.80% | 1.145 | +21.75% | 1.394 |
171 | 190 | 200 | Eastern Asia | China | Zibo | Urban agglomeration | 1.873 | +36.41% | 2.555 | +20.70% | 3.084 |
— | 431 | 430 | Eastern Asia | China | Zunyi | Urban agglomeration | 0.745 | +63.22% | 1.216 | +27.06% | 1.545 |
32 | 48 | 59 | Eastern Asia | Hong Kong | Hong Kong | Urban agglomeration | 6.664 | +11.48% | 7.429 | +7.51% | 7.987 |
215 | 339 | 413 | Eastern Asia | Taiwan | Kaohsiung | City proper | 1.488 | +2.96% | 1.532 | +4.57% | 1.602 |
115 | 182 | 216 | Eastern Asia | Taiwan | Taipei | Urban agglomeration | 2.642 | +2.42% | 2.706 | +5.10% | 2.844 |
— | 412 | 471 | Eastern Asia | Taiwan | Taichung | Urban agglomeration | 0.978 | +31.19% | 1.283 | +11.77% | 1.434 |
186 | 232 | 256 | Eastern Asia | Taiwan | Taoyuan, Taiwan | City proper | 1.700 | +28.82% | 2.190 | +10.64% | 2.423 |
70 | 96 | 117 | Eastern Asia | Taiwan | New Taipei City | City proper | 3.689 | +17.24% | 4.325 | +8.28% | 4.683 |
106 | 154 | 180 | Eastern Asia | North Korea | Pyongyang | City proper | 2.777 | +9.40% | 3.038 | +10.11% | 3.345 |
22 | 35 | 49 | Eastern Asia | Japan | Nagoya | Metropolitan area | 8.740 | +8.78% | 9.507 | −1.05% | 9.407 |
160 | 243 | 315 | Eastern Asia | Japan | Hiroshima | Metropolitan area | 2.044 | +2.50% | 2.095 | −3.05% | 2.031 |
2 | 10 | 15 | Eastern Asia | Japan | Osaka | Metropolitan area | 18.660 | +3.33% | 19.281 | −3.23% | 18.658 |
43 | 70 | 98 | Eastern Asia | Japan | Kitakyushu Fukuoka |
Metropolitan area | 5.421 | +2.40% | 5.551 | −2.81% | 5.395 |
122 | 185 | 238 | Eastern Asia | Japan | Sapporo | Metropolitan area | 2.508 | +6.26% | 2.665 | −1.99% | 2.612 |
147 | 216 | 272 | Eastern Asia | Japan | Sendai | Metropolitan area | 2.184 | +5.59% | 2.306 | −0.22% | 2.301 |
275 | 166 | 214 | Eastern Asia | Japan | Shizuoka (city) Hamamatsu |
Metropolitan area | 1.217 | +138.21% | 2.899 | −0.55% | 2.883 |
1 | 1 | 2 | Eastern Asia | Japan | Tokyo | Metropolitan area | 34.450 | +8.76% | 37.468 | −2.39% | 36.574 |
— | 343 | 350 | Eastern Asia | Mongolia | Ulaanbaatar | City proper | 0.765 | +98.69% | 1.520 | +21.12% | 1.841 |
71 | 128 | 169 | Eastern Asia | South Korea | Busan | Urban agglomeration | 3.673 | −5.61% | 3.467 | +1.87% | 3.532 |
330 | 518 | 663 | Eastern Asia | South Korea | Changwon | Urban agglomeration | 1.077 | −1.58% | 1.060 | +0.94% | 1.070 |
134 | 227 | 287 | Eastern Asia | South Korea | Daegu | City proper | 2.323 | −4.39% | 2.221 | −0.72% | 2.205 |
250 | 335 | 408 | Eastern Asia | South Korea | Daejeon | City proper | 1.354 | +15.07% | 1.558 | +3.34% | 1.610 |
— | 529 | 608 | Eastern Asia | South Korea | Goyang | City proper | 0.734 | +41.55% | 1.039 | +10.20% | 1.145 |
254 | 344 | 425 | Eastern Asia | South Korea | Gwangju | City proper | 1.343 | +13.03% | 1.518 | +2.70% | 1.559 |
130 | 178 | 210 | Eastern Asia | South Korea | Incheon | City proper | 2.371 | +16.53% | 2.763 | +5.79% | 2.923 |
18 | 34 | 42 | Eastern Asia | South Korea | Seoul | Urban agglomeration | 9.879 | +0.85% | 9.963 | +2.01% | 10.163 |
— | 420 | 480 | Eastern Asia | South Korea | Suwon | Urban agglomeration | 0.932 | +35.73% | 1.265 | +12.25% | 1.420 |
— | 529 | 587 | Eastern Asia | South Korea | Yongin | Urban agglomeration | 0.374 | +177.81% | 1.039 | +14.15% | 1.186 |
299 | 277 | 294 | Central Asia | Kazakhstan | Almaty | City proper | 1.160 | +57.67% | 1.829 | +18.64% | 2.170 |
— | 510 | 462 | Central Asia | Kazakhstan | Astana | City proper | 0.371 | +187.87% | 1.068 | +36.33% | 1.456 |
— | — | 535 | Central Asia | Kazakhstan | Shymkent | City proper | 0.445 | +120.67% | 0.982 | +31.47% | 1.291 |
— | — | 540 | Central Asia | Kyrgyzstan | Bishkek | City proper | 0.766 | +30.03% | 0.996 | +28.41% | 1.279 |
— | — | 580 | Central Asia | Tajikistan | Dushanbe | Urban agglomeration | 0.568 | +53.70% | 0.873 | +36.88% | 1.195 |
— | — | 683 | Central Asia | Turkmenistan | Ashgabat | City proper | 0.524 | +54.58% | 0.810 | +28.52% | 1.041 |
151 | 199 | 217 | Central Asia | Uzbekistan | Tashkent | City proper | 2.135 | +15.41% | 2.464 | +15.06% | 2.835 |
127 | 106 | 87 | Southern Asia | Afghanistan | Kabul | City proper | 2.401 | +67.10% | 4.012 | +43.00% | 5.737 |
— | — | 616 | Southern Asia | Bangladesh | Bogra | Urban agglomeration | 0.220 | +211.36% | 0.685 | +65.26% | 1.132 |
86 | 85 | 78 | Southern Asia | Bangladesh | Chittagong | Metropolitan area | 3.308 | +45.59% | 4.816 | +32.75% | 6.393 |
14 | 9 | 4 | Southern Asia | Bangladesh | Dhaka | Metropolitan area | 10.285 | +90.35% | 19.578 | +43.41% | 28.076 |
270 | — | 642 | Southern Asia | Bangladesh | Khulna | Metropolitan area | 1.247 | −21.81% | 0.975 | +11.90% | 1.091 |
— | — | 614 | Southern Asia | Bangladesh | Rajshahi | Metropolitan area | 0.678 | +29.79% | 0.880 | +29.09% | 1.136 |
— | — | 589 | Southern Asia | Bangladesh | Sylhet | Urban agglomeration | 0.331 | +134.44% | 0.776 | +52.45% | 1.183 |
255 | 238 | 224 | Southern Asia | India | Agra | Urban agglomeration | 1.342 | +57.23% | 2.110 | +31.47% | 2.774 |
48 | 45 | 43 | Southern Asia | India | Ahmedabad | Urban agglomeration | 4.815 | +59.52% | 7.681 | +32.12% | 10.148 |
— | 463 | 428 | Southern Asia | India | Aligarh | Urban agglomeration | 0.655 | +74.50% | 1.143 | +35.43% | 1.548 |
352 | 389 | 388 | Southern Asia | India | Prayagraj | Urban agglomeration | 1.028 | +31.81% | 1.355 | +25.31% | 1.698 |
— | 391 | 395 | Southern Asia | India | Amritsar | Urban agglomeration | 0.981 | +36.09% | 1.335 | +26.22% | 1.685 |
340 | 377 | 377 | Southern Asia | India | Asansol | Urban agglomeration | 1.058 | +31.47% | 1.391 | +25.38% | 1.744 |
— | 357 | 322 | Southern Asia | India | Aurangabad | Urban agglomeration | 0.869 | +69.85% | 1.476 | +34.28% | 1.982 |
41 | 27 | 21 | Southern Asia | India | Bangalore | Urban agglomeration | 5.581 | +104.98% | 11.440 | +41.84% | 16.227 |
— | 444 | 417 | Southern Asia | India | Bareilly | Urban agglomeration | 0.748 | +59.76% | 1.195 | +32.47% | 1.583 |
— | — | 675 | Southern Asia | India | Bhiwandi | Urban agglomeration | 0.603 | +38.14% | 0.833 | +26.41% | 1.053 |
226 | 223 | 203 | Southern Asia | India | Bhopal | Urban agglomeration | 1.428 | +59.52% | 2.278 | +32.05% | 3.008 |
— | 490 | 450 | Southern Asia | India | Bhubaneswar | Urban agglomeration | 0.638 | +72.41% | 1.100 | +34.73% | 1.482 |
— | 485 | 485 | Southern Asia | India | Chandigarh | Urban agglomeration | 0.790 | +40.51% | 1.110 | +27.30% | 1.413 |
34 | 31 | 26 | Southern Asia | India | Chennai | Urban agglomeration | 6.593 | +58.59% | 10.456 | +32.12% | 13.814 |
— | — | 670 | Southern Asia | India | Cherthala | Urban agglomeration | 0.260 | +164.62% | 0.688 | +53.63% | 1.057 |
204 | 186 | 166 | Southern Asia | India | Coimbatore | Urban agglomeration | 1.562 | +69.08% | 2.641 | +34.12% | 3.542 |
— | — | 597 | Southern Asia | India | Dehradun | Urban agglomeration | 0.518 | +68.15% | 0.871 | +33.98% | 1.167 |
7 | 2 | 1 | Southern Asia | India | Delhi | Metropolitan area | 15.692 | +81.71% | 28.514 | +36.56% | 38.939 |
347 | 401 | 411 | Southern Asia | India | Dhanbad | Urban agglomeration | 1.048 | +24.24% | 1.302 | +23.20% | 1.604 |
— | 453 | 461 | Southern Asia | India | Durg Bhilai |
Urban agglomeration | 0.911 | +29.20% | 1.177 | +24.47% | 1.465 |
— | — | 669 | Southern Asia | India | Firozabad | City proper | 0.420 | +83.81% | 0.772 | +37.05% | 1.058 |
— | — | 656 | Southern Asia | India | Guntur | Urban agglomeration | 0.511 | +59.10% | 0.813 | +32.60% | 1.078 |
— | 500 | 509 | Southern Asia | India | Guwahati | Urban agglomeration | 0.801 | +35.21% | 1.083 | +26.04% | 1.365 |
— | 399 | 383 | Southern Asia | India | Gwalior | Urban agglomeration | 0.855 | +54.04% | 1.317 | +31.13% | 1.727 |
— | 505 | 503 | Southern Asia | India | Hubli Dharwad |
City proper | 0.776 | +39.05% | 1.079 | +27.34% | 1.374 |
40 | 36 | 29 | Southern Asia | India | Hyderabad | Urban agglomeration | 5.650 | +67.82% | 9.482 | +34.09% | 12.714 |
217 | 172 | 150 | Southern Asia | India | Indore | Urban agglomeration | 1.486 | +89.91% | 2.822 | +38.84% | 3.918 |
327 | 371 | 372 | Southern Asia | India | Jabalpur | Urban agglomeration | 1.083 | +30.29% | 1.411 | +24.95% | 1.763 |
139 | 118 | 113 | Southern Asia | India | Jaipur | Urban agglomeration | 2.258 | +64.61% | 3.717 | +32.98% | 4.943 |
— | 536 | 530 | Southern Asia | India | Jalandhar | Urban agglomeration | 0.698 | +45.27% | 1.014 | +28.60% | 1.304 |
325 | 338 | 324 | Southern Asia | India | Jamshedpur | Urban agglomeration | 1.084 | +42.34% | 1.543 | +27.93% | 1.974 |
— | 373 | 343 | Southern Asia | India | Jodhpur | Urban agglomeration | 0.846 | +65.13% | 1.397 | +33.57% | 1.866 |
283 | 252 | 225 | Southern Asia | India | Kannur | Urban agglomeration | 1.208 | +69.54% | 2.048 | +35.06% | 2.766 |
113 | 151 | 156 | Southern Asia | India | Kanpur | Urban agglomeration | 2.664 | +15.65% | 3.081 | +20.58% | 3.715 |
235 | 170 | 145 | Southern Asia | India | Kochi | Urban agglomeration | 1.399 | +104.29% | 2.858 | +42.20% | 4.064 |
10 | 16 | 16 | Southern Asia | India | Kolkata | Metropolitan area | 13.097 | +12.09% | 14.681 | +19.77% | 17.584 |
— | 311 | 241 | Southern Asia | India | Kollam | Urban agglomeration | 0.614 | +171.99% | 1.670 | +53.11% | 2.557 |
— | 402 | 362 | Southern Asia | India | Kota, Rajasthan | Urban agglomeration | 0.691 | +87.99% | 1.299 | +38.49% | 1.799 |
— | — | 700 | Southern Asia | India | Kottayam | Urban agglomeration | 0.172 | +254.07% | 0.609 | +66.34% | 1.013 |
322 | 140 | 110 | Southern Asia | India | Kozhikode | Urban agglomeration | 1.090 | +191.28% | 3.175 | +57.26% | 4.993 |
145 | 127 | 119 | Southern Asia | India | Lucknow | Urban agglomeration | 2.202 | +59.17% | 3.505 | +32.04% | 4.628 |
243 | 282 | 276 | Southern Asia | India | Ludhiana | City proper | 1.368 | +32.02% | 1.806 | +25.14% | 2.260 |
280 | 309 | 298 | Southern Asia | India | Madurai | Urban agglomeration | 1.211 | +38.40% | 1.676 | +27.27% | 2.133 |
— | 159 | 111 | Southern Asia | India | Malappuram | Urban agglomeration | 0.762 | +287.14% | 2.950 | +68.68% | 4.976 |
303 | 318 | 304 | Southern Asia | India | Meerut | Urban agglomeration | 1.147 | +42.63% | 1.636 | +27.93% | 2.093 |
— | 478 | 431 | Southern Asia | India | Moradabad | Urban agglomeration | 0.626 | +80.03% | 1.127 | +36.56% | 1.539 |
6 | 7 | 6 | Southern Asia | India | Mumbai | Metropolitan area | 16.147 | +23.74% | 19.980 | +22.98% | 24.572 |
— | 457 | 443 | Southern Asia | India | Mysore | Urban agglomeration | 0.787 | +47.65% | 1.162 | +29.43% | 1.504 |
154 | 173 | 168 | Southern Asia | India | Nagpur | Urban agglomeration | 2.095 | +34.03% | 2.808 | +25.85% | 3.534 |
314 | 260 | 237 | Southern Asia | India | Nashik | Urban agglomeration | 1.117 | +74.75% | 1.952 | +35.14% | 2.638 |
195 | 211 | 205 | Southern Asia | India | Patna | Urban agglomeration | 1.654 | +42.20% | 2.352 | +27.64% | 3.002 |
— | — | 673 | Southern Asia | India | Pondicherry | Urban agglomeration | 0.498 | +59.84% | 0.796 | +32.41% | 1.054 |
72 | 59 | 55 | Southern Asia | India | Pune | Urban agglomeration | 3.667 | +71.15% | 6.276 | +34.51% | 8.442 |
— | 342 | 295 | Southern Asia | India | Raipur | Urban agglomeration | 0.720 | +111.25% | 1.521 | +42.60% | 2.169 |
— | 294 | 259 | Southern Asia | India | Rajkot | Urban agglomeration | 0.975 | +81.23% | 1.767 | +36.73% | 2.416 |
— | 382 | 358 | Southern Asia | India | Ranchi | Urban agglomeration | 0.844 | +62.32% | 1.370 | +32.63% | 1.817 |
— | — | 489 | Southern Asia | India | Saharanpur | City proper | 0.450 | +116.00% | 0.972 | +44.34% | 1.403 |
— | 515 | 511 | Southern Asia | India | Salem, Tamil Nadu | Urban agglomeration | 0.738 | +43.90% | 1.062 | +28.34% | 1.363 |
— | — | 518 | Southern Asia | India | Siliguri | Urban agglomeration | 0.464 | +104.09% | 0.947 | +41.82% | 1.343 |
— | 536 | 564 | Southern Asia | India | Solapur | City proper | 0.853 | +18.87% | 1.014 | +21.40% | 1.231 |
— | 345 | 320 | Southern Asia | India | Srinagar | Urban agglomeration | 0.973 | +55.70% | 1.515 | +31.35% | 1.990 |
110 | 56 | 46 | Southern Asia | India | Surat | Urban agglomeration | 2.706 | +142.57% | 6.564 | +47.94% | 9.711 |
348 | 207 | 175 | Southern Asia | India | Thiruvananthapuram | Urban agglomeration | 1.045 | +126.70% | 2.369 | +46.64% | 3.474 |
349 | 177 | 142 | Southern Asia | India | Thrissur | Urban agglomeration | 1.042 | +166.22% | 2.774 | +52.16% | 4.221 |
— | 473 | 484 | Southern Asia | India | Tiruchirappalli | Urban agglomeration | 0.876 | +29.45% | 1.134 | +24.78% | 1.415 |
— | 383 | 318 | Southern Asia | India | Tiruppur | Urban agglomeration | 0.571 | +139.75% | 1.369 | +47.41% | 2.018 |
222 | 238 | 230 | Southern Asia | India | Vadodara | Urban agglomeration | 1.465 | +44.03% | 2.110 | +28.34% | 2.708 |
285 | 323 | 314 | Southern Asia | India | Varanasi | Urban agglomeration | 1.204 | +34.14% | 1.615 | +26.07% | 2.036 |
354 | 265 | 235 | Southern Asia | India | Vijayawada | Urban agglomeration | 1.025 | +86.44% | 1.911 | +38.36% | 2.644 |
260 | 245 | 227 | Southern Asia | India | Visakhapatnam | Urban agglomeration | 1.323 | +56.92% | 2.076 | +31.60% | 2.732 |
— | — | 570 | Southern Asia | India | Warangal | Urban agglomeration | 0.571 | +60.07% | 0.914 | +32.39% | 1.210 |
— | 436 | 496 | Southern Asia | Iran | Ahvaz | City proper | 0.868 | +39.63% | 1.212 | +15.02% | 1.394 |
240 | 254 | 253 | Southern Asia | Iran | Isfahan | City proper | 1.382 | +47.68% | 2.041 | +20.58% | 2.461 |
324 | 329 | 394 | Southern Asia | Iran | Karaj | City proper | 1.087 | +45.81% | 1.585 | +6.44% | 1.687 |
— | — | 591 | Southern Asia | Iran | Kermanshah | City proper | 0.729 | +34.84% | 0.983 | +20.14% | 1.181 |
158 | 149 | 160 | Southern Asia | Iran | Mashhad | City proper | 2.073 | +49.40% | 3.097 | +17.86% | 3.650 |
— | 424 | 459 | Southern Asia | Iran | Qom | City proper | 0.843 | +47.21% | 1.241 | +18.37% | 1.469 |
315 | 325 | 344 | Southern Asia | Iran | Shiraz | City proper | 1.115 | +43.95% | 1.605 | +15.70% | 1.857 |
266 | 331 | 367 | Southern Asia | Iran | Tabriz | City proper | 1.264 | +25.16% | 1.582 | +12.58% | 1.781 |
30 | 38 | 40 | Southern Asia | Iran | Tehran | City proper | 7.128 | +24.80% | 8.896 | +15.11% | 10.240 |
— | 393 | 329 | Southern Asia | Nepal | Kathmandu | City proper | 0.642 | +107.17% | 1.330 | +45.79% | 1.939 |
— | — | 631 | Southern Asia | Pakistan | Bahawalpur | Urban agglomeration | 0.436 | +82.57% | 0.796 | +38.32% | 1.101 |
153 | 136 | 133 | Southern Asia | Pakistan | Faisalabad | Urban agglomeration | 2.098 | +57.82% | 3.311 | +32.92% | 4.401 |
282 | 238 | 214 | Southern Asia | Pakistan | Gujranwala | Urban agglomeration | 1.209 | +74.52% | 2.110 | +36.64% | 2.883 |
281 | 288 | 269 | Southern Asia | Pakistan | Hyderabad, Sindh | Urban agglomeration | 1.210 | +47.27% | 1.782 | +30.36% | 2.323 |
— | 517 | 453 | Southern Asia | Pakistan | Islamabad | City proper | 0.569 | +86.47% | 1.061 | +39.21% | 1.477 |
19 | 12 | 12 | Southern Asia | Pakistan | Karachi | Urban agglomeration | 9.825 | +56.74% | 15.400 | +32.68% | 20.432 |
42 | 26 | 18 | Southern Asia | Pakistan | Lahore | Urban agglomeration | 5.576 | +110.51% | 11.738 | +43.83% | 16.883 |
269 | 262 | 243 | Southern Asia | Pakistan | Multan | Urban agglomeration | 1.251 | +54.36% | 1.931 | +32.16% | 2.552 |
334 | 246 | 212 | Southern Asia | Pakistan | Peshawar | Urban agglomeration | 1.075 | +92.09% | 2.065 | +40.24% | 2.896 |
— | 528 | 480 | Southern Asia | Pakistan | Quetta | Urban agglomeration | 0.602 | +73.09% | 1.042 | +36.28% | 1.420 |
219 | 235 | 220 | Southern Asia | Pakistan | Rawalpindi | Urban agglomeration | 1.477 | +45.97% | 2.156 | +30.10% | 2.805 |
302 | 260 | 220 | South-Eastern Asia | Cambodia | Phnom Penh | Urban agglomeration | 1.149 | +69.89% | 1.952 | +43.70% | 2.805 |
— | 524 | 524 | South-Eastern Asia | Indonesia | Bandar Lampung | City proper | 0.743 | +40.92% | 1.047 | +26.65% | 1.326 |
150 | 192 | 205 | South-Eastern Asia | Indonesia | Bandung | City proper | 2.138 | +18.71% | 2.538 | +18.28% | 3.002 |
— | 372 | 309 | South-Eastern Asia | Indonesia | Batam | City proper | 0.415 | +237.59% | 1.401 | +47.39% | 2.065 |
198 | 142 | 140 | South-Eastern Asia | Indonesia | Bekasi | City proper | 1.622 | +94.76% | 3.159 | +37.13% | 4.332 |
— | 483 | 490 | South-Eastern Asia | Indonesia | Bogor | City proper | 0.751 | +48.47% | 1.115 | +25.74% | 1.402 |
— | — | 575 | South-Eastern Asia | Indonesia | Denpasar | City proper | 0.533 | +77.11% | 0.944 | +27.44% | 1.203 |
313 | 197 | 165 | South-Eastern Asia | Indonesia | Depok | City proper | 1.121 | +123.28% | 2.503 | +42.39% | 3.564 |
23 | 30 | 30 | South-Eastern Asia | Indonesia | Jakarta | Metropolitan area | 8.390 | +25.35% | 10.517 | +20.63% | 12.687 |
330 | 340 | 336 | South-Eastern Asia | Indonesia | Makassar | City proper | 1.077 | +42.06% | 1.530 | +24.18% | 1.900 |
— | — | 687 | South-Eastern Asia | Indonesia | Malang | City proper | 0.757 | +15.19% | 0.872 | +18.46% | 1.033 |
168 | 220 | 226 | South-Eastern Asia | Indonesia | Medan | City proper | 1.912 | +19.51% | 2.285 | +20.31% | 2.749 |
— | — | 595 | South-Eastern Asia | Indonesia | Padang | City proper | 0.716 | +32.54% | 0.949 | +23.50% | 1.172 |
223 | 312 | 311 | South-Eastern Asia | Indonesia | Palembang | City proper | 1.459 | +14.12% | 1.665 | +23.96% | 2.064 |
— | 466 | 446 | South-Eastern Asia | Indonesia | Pekanbaru | City proper | 0.588 | +93.54% | 1.138 | +31.81% | 1.500 |
— | — | 545 | South-Eastern Asia | Indonesia | Samarinda | City proper | 0.523 | +81.26% | 0.948 | +34.18% | 1.272 |
227 | 284 | 282 | South-Eastern Asia | Indonesia | Semarang | City proper | 1.427 | +26.14% | 1.800 | +24.72% | 2.245 |
117 | 165 | 178 | South-Eastern Asia | Indonesia | Surabaya | City proper | 2.611 | +11.18% | 2.903 | +17.57% | 3.413 |
258 | 226 | 213 | South-Eastern Asia | Indonesia | Tangerang | City proper | 1.326 | +67.57% | 2.222 | +29.79% | 2.884 |
— | — | 467 | South-Eastern Asia | Indonesia | Tasikmalaya | City proper | 0.321 | +193.77% | 0.943 | +53.45% | 1.447 |
— | — | 566 | South-Eastern Asia | Malaysia | Johor Bahru | Urban agglomeration | 0.630 | +56.03% | 0.983 | +24.52% | 1.224 |
57 | 46 | 45 | South-Eastern Asia | Malaysia | Kuala Lumpur | Metropolitan area | 4.176 | +81.13% | 7.564 | +29.63% | 9.805 |
— | 380 | 374 | South-Eastern Asia | Myanmar | Mandalay | Urban agglomeration | 0.847 | +62.22% | 1.374 | +27.87% | 1.757 |
74 | 78 | 79 | South-Eastern Asia | Myanmar | Yangon | Urban agglomeration | 3.573 | +44.33% | 5.157 | +23.89% | 6.389 |
— | — | 632 | South-Eastern Asia | Philippines | Antipolo | City proper | 0.474 | +76.58% | 0.837 | +31.42% | 1.100 |
— | — | 595 | South-Eastern Asia | Philippines | Cebu City | City proper | 0.721 | +32.59% | 0.956 | +22.59% | 1.172 |
300 | 300 | 277 | South-Eastern Asia | Philippines | Davao City | City proper | 1.152 | +51.48% | 1.745 | +29.28% | 2.256 |
17 | 17 | 19 | South-Eastern Asia | Philippines | Manila | Metropolitan area | 9.958 | +35.39% | 13.482 | +24.91% | 16.841 |
— | — | 633 | South-Eastern Asia | Philippines | Zamboanga City | City proper | 0.605 | +47.77% | 0.894 | +22.93% | 1.099 |
62 | 67 | 81 | South-Eastern Asia | Singapore | Singapore | Urban agglomeration | 3.914 | +47.98% | 5.792 | +9.50% | 6.342 |
— | 471 | 526 | South-Eastern Asia | Thailand | Chiang Mai | Urban agglomeration | 0.407 | +178.87% | 1.135 | +16.12% | 1.318 |
— | 387 | 418 | South-Eastern Asia | Thailand | Chonburi province | Urban agglomeration | 0.577 | +135.88% | 1.361 | +16.09% | 1.580 |
36 | 33 | 34 | South-Eastern Asia | Thailand | Bangkok | Urban agglomeration | 6.395 | +58.81% | 10.156 | +19.15% | 12.101 |
— | — | 646 | South-Eastern Asia | Thailand | Nonthaburi province | Urban agglomeration | 0.545 | +71.93% | 0.937 | +16.12% | 1.088 |
— | — | 688 | South-Eastern Asia | Thailand | Pathum Thani province | Urban agglomeration | 0.324 | +174.38% | 0.889 | +16.09% | 1.032 |
— | 416 | 453 | South-Eastern Asia | Thailand | Samut Prakan province | Urban agglomeration | 0.656 | +93.90% | 1.272 | +16.12% | 1.477 |
— | — | 639 | South-Eastern Asia | Thailand | Songkhla province | Urban agglomeration | 0.414 | +127.05% | 0.940 | +16.17% | 1.092 |
— | — | 523 | South-Eastern Asia | Vietnam | Biên Hòa | City proper | 0.458 | +107.21% | 0.949 | +39.83% | 1.327 |
— | 362 | 274 | South-Eastern Asia | Vietnam | Cần Thơ | City proper | 0.439 | +228.93% | 1.444 | +58.86% | 2.294 |
— | 512 | 466 | South-Eastern Asia | Vietnam | Da Nang | City proper | 0.568 | +87.32% | 1.064 | +36.18% | 1.449 |
194 | 98 | 80 | South-Eastern Asia | Vietnam | Hanoi | Urban agglomeration | 1.660 | +158.01% | 4.283 | +48.54% | 6.362 |
— | 430 | 388 | South-Eastern Asia | Vietnam | Haiphong | Urban agglomeration | 0.599 | +103.51% | 1.219 | +39.29% | 1.698 |
54 | 43 | 36 | South-Eastern Asia | Vietnam | Ho Chi Minh City | Urban agglomeration | 4.389 | +85.58% | 8.145 | +35.72% | 11.054 |
317 | 504 | 623 | Western Asia | Armenia | Yerevan | City proper | 1.111 | −2.79% | 1.080 | +3.15% | 1.114 |
177 | 219 | 234 | Western Asia | Azerbaijan | Baku | Urban agglomeration | 1.806 | +26.58% | 2.286 | +16.32% | 2.659 |
319 | 506 | 630 | Western Asia | Georgia | Tbilisi | City proper | 1.100 | −2.09% | 1.077 | +2.32% | 1.102 |
— | 402 | 375 | Western Asia | Iraq | Basra | City proper | 0.759 | +71.15% | 1.299 | +34.80% | 1.751 |
341 | 341 | 288 | Western Asia | Iraq | Mosul | Urban agglomeration | 1.056 | +44.60% | 1.527 | +44.07% | 2.200 |
44 | 54 | 51 | Western Asia | Iraq | Baghdad | Metropolitan area | 5.200 | +31.00% | 6.812 | +37.48% | 9.365 |
— | — | 657 | Western Asia | Iraq | Erbil | City proper | 0.706 | +16.29% | 0.821 | +31.18% | 1.077 |
— | — | 534 | Western Asia | Iraq | Kirkuk | Urban agglomeration | 0.504 | +94.64% | 0.981 | +31.80% | 1.293 |
— | — | 594 | Western Asia | Iraq | Najaf | Urban agglomeration | 0.542 | +51.29% | 0.820 | +43.29% | 1.175 |
— | 471 | 538 | Western Asia | Israel | Haifa | Metropolitan area | 0.905 | +25.41% | 1.135 | +12.86% | 1.281 |
— | — | 664 | Western Asia | Jerusalem | Jerusalem | City proper | 0.664 | +36.60% | 0.907 | +17.86% | 1.069 |
107 | 107 | 114 | Western Asia | Israel | Tel Aviv | Metropolitan area | 2.739 | +46.44% | 4.011 | +22.56% | 4.916 |
361 | 246 | 260 | Western Asia | Jordan | Amman | City proper | 1.017 | +103.05% | 2.065 | +16.32% | 2.402 |
264 | 155 | 163 | Western Asia | Kuwait | Kuwait City | Urban agglomeration | 1.300 | +129.92% | 2.989 | +21.18% | 3.622 |
216 | 204 | 270 | Western Asia | Lebanon | Beirut | Urban agglomeration | 1.487 | +60.39% | 2.385 | −3.10% | 2.311 |
— | 361 | 351 | Western Asia | Oman | Muscat | Urban agglomeration | 0.564 | +156.56% | 1.447 | +27.02% | 1.838 |
— | 442 | 452 | Western Asia | Saudi Arabia | Dammam | City proper | 0.639 | +87.32% | 1.197 | +23.48% | 1.478 |
— | 368 | 377 | Western Asia | Saudi Arabia | Medina | City proper | 0.795 | +79.87% | 1.430 | +21.96% | 1.744 |
76 | 53 | 54 | Western Asia | Saudi Arabia | Riyadh | City proper | 3.567 | +93.64% | 6.907 | +23.74% | 8.547 |
121 | 90 | 99 | Western Asia | Saudi Arabia | Jeddah | City proper | 2.509 | +76.68% | 4.433 | +21.54% | 5.388 |
296 | 259 | 263 | Western Asia | Saudi Arabia | Mecca | City proper | 1.168 | +68.41% | 1.967 | +20.95% | 2.379 |
161 | 214 | 179 | Western Asia | Syria | Damascus | City proper | 2.017 | +15.02% | 2.320 | +45.99% | 3.387 |
144 | 297 | 207 | Western Asia | Syria | Aleppo | Urban agglomeration | 2.204 | −20.42% | 1.754 | +70.64% | 2.993 |
— | — | 529 | Western Asia | Syria | Hama | City proper | 0.495 | +80.61% | 0.894 | +45.97% | 1.305 |
— | 404 | 338 | Western Asia | Syria | Homs | City proper | 0.856 | +51.29% | 1.295 | +46.02% | 1.891 |
311 | 303 | 323 | Western Asia | Turkey | Adana | Urban agglomeration | 1.123 | +54.05% | 1.730 | +14.22% | 1.976 |
89 | 84 | 84 | Western Asia | Turkey | Ankara | Urban agglomeration | 3.179 | +54.73% | 4.919 | +19.31% | 5.869 |
— | 448 | 451 | Western Asia | Turkey | Antalya | City proper | 0.595 | +98.99% | 1.184 | +25.08% | 1.481 |
292 | 263 | 275 | Western Asia | Turkey | Bursa | Urban agglomeration | 1.180 | +62.37% | 1.916 | +18.11% | 2.263 |
— | — | 581 | Western Asia | Turkey | Diyarbakır | Urban agglomeration | 0.542 | +84.32% | 0.999 | +19.42% | 1.193 |
— | 321 | 325 | Western Asia | Turkey | Gaziantep | Urban agglomeration | 0.880 | +85.45% | 1.632 | +20.53% | 1.967 |
21 | 15 | 17 | Western Asia | Turkey | Istanbul | Urban agglomeration | 8.744 | +68.70% | 14.751 | +16.09% | 17.124 |
142 | 160 | 182 | Western Asia | Turkey | İzmir | Urban agglomeration | 2.216 | +32.54% | 2.937 | +12.90% | 3.316 |
— | — | 638 | Western Asia | Turkey | Kayseri | Urban agglomeration | 0.532 | +78.01% | 0.947 | +15.42% | 1.093 |
— | 418 | 433 | Western Asia | Turkey | Konya | Urban agglomeration | 0.734 | +73.16% | 1.271 | +20.77% | 1.535 |
— | — | 599 | Western Asia | Turkey | Mersin | Urban agglomeration | 0.534 | +83.15% | 0.978 | +18.81% | 1.162 |
— | 369 | 380 | Western Asia | United Arab Emirates | Abu Dhabi | City proper | 0.505 | +181.19% | 1.420 | +22.46% | 1.739 |
— | 332 | 309 | Western Asia | United Arab Emirates | Sharjah | City proper | 0.457 | +243.76% | 1.571 | +31.44% | 2.065 |
— | 175 | 183 | Western Asia | United Arab Emirates | Dubai | Urban agglomeration | 0.907 | +207.06% | 2.785 | +19.03% | 3.315 |
— | — | 510 | Western Asia | Yemen | Aden | City proper | 0.495 | +86.26% | 0.922 | +47.94% | 1.364 |
— | — | 694 | Western Asia | Yemen | Ibb | City proper | 0.154 | +268.18% | 0.567 | +79.72% | 1.019 |
253 | 176 | 144 | Western Asia | Yemen | Sanaa | Urban agglomeration | 1.347 | +106.31% | 2.779 | +50.20% | 4.174 |
— | — | 579 | Western Asia | Yemen | Taiz | City proper | 0.393 | +100.00% | 0.786 | +52.16% | 1.196 |
186 | 256 | 305 | Eastern Europe | Belarus | Minsk | Urban agglomeration | 1.700 | +17.94% | 2.005 | +4.04% | 2.086 |
309 | 416 | 540 | Eastern Europe | Bulgaria | Sofia | Urban agglomeration | 1.128 | +12.77% | 1.272 | +0.55% | 1.279 |
295 | 407 | 517 | Eastern Europe | Czech Republic | Prague | City proper | 1.172 | +10.24% | 1.292 | +4.10% | 1.345 |
178 | 296 | 365 | Eastern Europe | Hungary | Budapest | City proper | 1.787 | −1.57% | 1.759 | +1.53% | 1.786 |
193 | 293 | 361 | Eastern Europe | Poland | Warsaw | City proper | 1.666 | +6.12% | 1.768 | +1.81% | 1.800 |
166 | 279 | 379 | Eastern Europe | Romania | Bucharest | City proper | 1.949 | −6.57% | 1.821 | −4.39% | 1.741 |
328 | 431 | 553 | Eastern Europe | Russia | Chelyabinsk | City proper | 1.082 | +12.38% | 1.216 | +2.96% | 1.252 |
320 | 422 | 528 | Eastern Europe | Russia | Kazan | City proper | 1.096 | +14.42% | 1.254 | +4.23% | 1.307 |
— | — | 689 | Eastern Europe | Russia | Krasnodar | City proper | 0.641 | +43.21% | 0.918 | +12.20% | 1.030 |
— | 484 | 585 | Eastern Europe | Russia | Krasnoyarsk | City proper | 0.911 | +21.95% | 1.111 | +6.84% | 1.187 |
16 | 24 | 28 | Eastern Europe | Russia | Moscow | City proper | 10.005 | +24.04% | 12.410 | +3.11% | 12.796 |
257 | 421 | 554 | Eastern Europe | Russia | Nizhny Novgorod | City proper | 1.331 | −5.03% | 1.264 | −1.03% | 1.251 |
228 | 318 | 385 | Eastern Europe | Russia | Novosibirsk | City proper | 1.426 | +14.73% | 1.636 | +4.95% | 1.717 |
306 | 448 | 589 | Eastern Europe | Russia | Omsk | City proper | 1.136 | +4.23% | 1.184 | −0.08% | 1.183 |
362 | 515 | 642 | Eastern Europe | Russia | Perm, Russia | City proper | 1.014 | +4.73% | 1.062 | +2.73% | 1.091 |
339 | 473 | 610 | Eastern Europe | Russia | Rostov-on-Don | City proper | 1.061 | +6.88% | 1.134 | +0.79% | 1.143 |
294 | 455 | 602 | Eastern Europe | Russia | Samara | City proper | 1.173 | −0.17% | 1.171 | −1.45% | 1.154 |
51 | 74 | 90 | Eastern Europe | Russia | Saint Petersburg | City proper | 4.719 | +14.07% | 5.383 | +4.59% | 5.630 |
343 | 477 | 604 | Eastern Europe | Russia | Ufa | City proper | 1.049 | +7.63% | 1.129 | +2.13% | 1.153 |
364 | 536 | — | Eastern Europe | Russia | Volgograd | City proper | 1.010 | +0.40% | 1.014 | −2.17% | 0.992 |
— | 520 | 642 | Eastern Europe | Russia | Voronezh | City proper | 0.921 | +14.66% | 1.056 | +3.31% | 1.091 |
263 | 352 | 429 | Eastern Europe | Russia | Yekaterinburg | City proper | 1.303 | +13.74% | 1.482 | +4.32% | 1.546 |
330 | — | — | Eastern Europe | Ukraine | Dnipro | City proper | 1.077 | −10.03% | 0.969 | −6.40% | 0.907 |
353 | — | — | Eastern Europe | Ukraine | Donetsk | City proper | 1.026 | −10.43% | 0.919 | −7.62% | 0.849 |
218 | 363 | 488 | Eastern Europe | Ukraine | Kharkiv | City proper | 1.484 | −3.23% | 1.436 | −2.23% | 1.404 |
118 | 158 | 204 | Eastern Europe | Ukraine | Kyiv | City proper | 2.606 | +13.47% | 2.957 | +1.59% | 3.004 |
350 | 542 | 704 | Eastern Europe | Ukraine | Odesa | City proper | 1.037 | −2.51% | 1.011 | −0.59% | 1.005 |
330 | 397 | 469 | Northern Europe | Denmark | Copenhagen | Metropolitan area | 1.077 | +22.66% | 1.321 | +9.16% | 1.442 |
358 | 414 | 500 | Northern Europe | Finland | Helsinki | Urban agglomeration | 1.019 | +25.52% | 1.279 | +8.37% | 1.386 |
— | 440 | 503 | Northern Europe | Ireland | Dublin | Urban agglomeration | 0.989 | +21.44% | 1.201 | +14.40% | 1.374 |
— | 539 | 585 | Northern Europe | Norway | Oslo | Urban agglomeration | 0.774 | +30.75% | 1.012 | +17.29% | 1.187 |
284 | 330 | 359 | Northern Europe | Sweden | Stockholm | Urban agglomeration | 1.206 | +31.26% | 1.583 | +14.59% | 1.814 |
135 | 188 | 223 | Northern Europe | United Kingdom | Birmingham | Urban agglomeration | 2.285 | +12.47% | 2.570 | +9.03% | 2.802 |
203 | 314 | 369 | Northern Europe | United Kingdom | Glasgow | Metropolitan area | 1.585 | +4.79% | 1.661 | +7.04% | 1.778 |
29 | 37 | 41 | Northern Europe | United Kingdom | London | Urban agglomeration | 7.273 | +24.38% | 9.046 | +13.07% | 10.228 |
131 | 184 | 209 | Northern Europe | United Kingdom | Manchester | Metropolitan area | 2.345 | +14.71% | 2.690 | +9.07% | 2.934 |
— | — | 706 | Northern Europe | United Kingdom | Southampton Portsmouth |
Urban agglomeration | 0.792 | +15.15% | 0.912 | +9.87% | 1.002 |
196 | 271 | 316 | Northern Europe | United Kingdom | Leeds Bradford |
Metropolitan area | 1.648 | +13.11% | 1.864 | +8.69% | 2.026 |
89 | 143 | 195 | Southern Europe | Greece | Athens | Urban agglomeration | 3.179 | −0.72% | 3.156 | +0.22% | 3.163 |
95 | 148 | 188 | Southern Europe | Italy | Milan | Metropolitan area | 2.985 | +4.92% | 3.132 | +2.46% | 3.209 |
141 | 231 | 286 | Southern Europe | Italy | Naples | Metropolitan area | 2.232 | −1.52% | 2.198 | +0.41% | 2.207 |
69 | 101 | 132 | Southern Europe | Italy | Rome | Metropolitan area | 3.708 | +13.54% | 4.210 | +4.82% | 4.413 |
190 | 286 | 353 | Southern Europe | Italy | Turin | Metropolitan area | 1.694 | +5.43% | 1.786 | +2.69% | 1.834 |
112 | 163 | 199 | Southern Europe | Portugal | Lisbon | Metropolitan area | 2.672 | +9.54% | 2.927 | +5.40% | 3.085 |
268 | 400 | 512 | Southern Europe | Portugal | Porto | Urban agglomeration | 1.254 | +4.23% | 1.307 | +3.83% | 1.357 |
267 | 378 | 477 | Southern Europe | Serbia | Belgrade | Urban agglomeration | 1.257 | +10.50% | 1.389 | +2.45% | 1.423 |
55 | 72 | 86 | Southern Europe | Spain | Barcelona | City proper | 4.355 | +26.15% | 5.494 | +5.79% | 5.812 |
46 | 57 | 68 | Southern Europe | Spain | Madrid | City proper | 5.014 | +29.58% | 6.497 | +6.31% | 6.907 |
206 | 266 | 306 | Western Europe | Austria | Vienna | City proper | 1.549 | +22.72% | 1.901 | +9.42% | 2.080 |
— | 531 | 651 | Western Europe | Belgium | Antwerp | Metropolitan area | 0.945 | +9.21% | 1.032 | +5.04% | 1.084 |
180 | 251 | 290 | Western Europe | Belgium | Brussels | Metropolitan area | 1.783 | +14.97% | 2.050 | +6.44% | 2.182 |
— | — | 673 | Western Europe | France | Bordeaux | Urban agglomeration | 0.765 | +23.53% | 0.945 | +11.53% | 1.054 |
371 | 521 | 618 | Western Europe | France | Lille | Urban agglomeration | 1.002 | +5.19% | 1.054 | +6.83% | 1.126 |
224 | 307 | 348 | Western Europe | France | Lyon | Urban agglomeration | 1.446 | +16.87% | 1.690 | +9.29% | 1.847 |
220 | 327 | 391 | Western Europe | France | Marseille Aix-en-Provence |
Urban agglomeration | 1.476 | +8.33% | 1.599 | +6.00% | 1.695 |
20 | 28 | 35 | Western Europe | France | Paris | Urban agglomeration | 9.737 | +11.95% | 10.901 | +7.42% | 11.710 |
— | — | 621 | Western Europe | France | Toulouse | Urban agglomeration | 0.775 | +28.65% | 0.997 | +12.24% | 1.119 |
83 | 125 | 164 | Western Europe | Germany | Berlin | City proper | 3.384 | +4.96% | 3.552 | +1.52% | 3.606 |
185 | 285 | 362 | Western Europe | Germany | Hamburg | City proper | 1.710 | +4.85% | 1.793 | +0.33% | 1.799 |
— | 492 | 597 | Western Europe | Germany | Cologne | City proper | 0.963 | +13.81% | 1.096 | +6.48% | 1.167 |
286 | 348 | 408 | Western Europe | Germany | Munich | City proper | 1.202 | +25.12% | 1.504 | +7.05% | 1.610 |
367 | 476 | 568 | Western Europe | Netherlands | Amsterdam | Urban agglomeration | 1.005 | +12.64% | 1.132 | +7.69% | 1.219 |
— | 544 | 678 | Western Europe | Netherlands | Rotterdam | Urban agglomeration | 0.991 | +1.72% | 1.008 | +4.07% | 1.049 |
307 | 381 | 439 | Western Europe | Switzerland | Zurich | Urban agglomeration | 1.129 | +21.43% | 1.371 | +10.43% | 1.514 |
146 | 236 | 292 | Caribbean | Cuba | Havana | City proper | 2.186 | −2.29% | 2.136 | +1.97% | 2.178 |
162 | 141 | 151 | Caribbean | Dominican Republic | Santo Domingo | Urban agglomeration | 1.997 | +58.84% | 3.172 | +23.36% | 3.913 |
191 | 187 | 174 | Caribbean | Haiti | Port-au-Prince | Urban agglomeration | 1.693 | +55.76% | 2.637 | +32.27% | 3.488 |
122 | 200 | 257 | Caribbean | Puerto Rico | San Juan, Puerto Rico | Metropolitan area | 2.508 | −2.15% | 2.454 | −1.43% | 2.419 |
351 | 388 | 415 | Central America | Costa Rica | San José, Costa Rica | Urban agglomeration | 1.032 | +31.59% | 1.358 | +17.45% | 1.595 |
338 | 486 | 582 | Central America | El Salvador | San Salvador | Metropolitan area | 1.062 | +4.24% | 1.107 | +7.50% | 1.190 |
164 | 171 | 161 | Central America | Guatemala | Guatemala City | Metropolitan area | 1.973 | +44.50% | 2.851 | +27.67% | 3.640 |
— | — | 601 | Central America | Honduras | San Pedro Sula | City proper | 0.454 | +87.44% | 0.851 | +36.31% | 1.160 |
— | 385 | 347 | Central America | Honduras | Tegucigalpa | City proper | 0.752 | +81.25% | 1.363 | +35.80% | 1.851 |
— | — | 623 | Central America | Mexico | Acapulco | Metropolitan area | 0.794 | +20.28% | 0.955 | +16.65% | 1.114 |
— | 509 | 543 | Central America | Mexico | Aguascalientes (city) | Metropolitan area | 0.763 | +40.24% | 1.070 | +19.25% | 1.276 |
— | — | 609 | Central America | Mexico | Cancún | Metropolitan area | 0.438 | +102.28% | 0.886 | +29.12% | 1.144 |
— | 539 | 562 | Central America | Mexico | Chihuahua City | Metropolitan area | 0.702 | +44.16% | 1.012 | +21.74% | 1.232 |
3 | 5 | 8 | Central America | Mexico | Mexico City | Metropolitan area | 18.457 | +16.93% | 21.581 | +11.72% | 24.111 |
274 | 353 | 382 | Central America | Mexico | Ciudad Juárez | Metropolitan area | 1.223 | +21.01% | 1.480 | +16.89% | 1.730 |
— | 527 | 562 | Central America | Mexico | Cuernavaca | Metropolitan area | 0.803 | +29.89% | 1.043 | +18.12% | 1.232 |
68 | 81 | 83 | Central America | Mexico | Guadalajara | Metropolitan area | 3.724 | +34.88% | 5.023 | +18.32% | 5.943 |
— | — | 703 | Central America | Mexico | Hermosillo | City proper | 0.552 | +51.45% | 0.836 | +20.57% | 1.008 |
— | 349 | 319 | Central America | Mexico | Torreón | Metropolitan area | 0.891 | +67.23% | 1.490 | +35.10% | 2.013 |
265 | 289 | 307 | Central America | Mexico | León, Guanajuato | Metropolitan area | 1.280 | +39.06% | 1.780 | +16.57% | 2.075 |
— | 480 | 519 | Central America | Mexico | Mérida, Yucatán | Metropolitan area | 0.810 | +38.52% | 1.122 | +19.61% | 1.342 |
— | 502 | 533 | Central America | Mexico | Mexicali | Metropolitan area | 0.770 | +40.52% | 1.082 | +19.78% | 1.296 |
82 | 88 | 91 | Central America | Mexico | Monterrey | Metropolitan area | 3.405 | +38.38% | 4.712 | +19.29% | 5.621 |
— | — | 654 | Central America | Mexico | Morelia | Metropolitan area | 0.684 | +35.09% | 0.924 | +17.10% | 1.082 |
135 | 149 | 159 | Central America | Mexico | Puebla (city) | Metropolitan area | 2.285 | +35.54% | 3.097 | +18.47% | 3.669 |
— | 409 | 426 | Central America | Mexico | Querétaro (city) | Metropolitan area | 0.825 | +56.12% | 1.288 | +20.96% | 1.558 |
— | — | 676 | Central America | Mexico | Reynosa | Metropolitan area | 0.531 | +62.52% | 0.863 | +21.67% | 1.050 |
— | — | 613 | Central America | Mexico | Saltillo | Metropolitan area | 0.643 | +47.74% | 0.950 | +19.68% | 1.137 |
— | 451 | 495 | Central America | Mexico | San Luis Potosí (city) | Metropolitan area | 0.857 | +37.57% | 1.179 | +18.41% | 1.396 |
— | — | 606 | Central America | Mexico | Tampico | Metropolitan area | 0.750 | +29.47% | 0.971 | +18.23% | 1.148 |
245 | 248 | 250 | Central America | Mexico | Tijuana | Metropolitan area | 1.365 | +50.77% | 2.058 | +21.04% | 2.491 |
205 | 210 | 211 | Central America | Mexico | Toluca | Metropolitan area | 1.553 | +51.58% | 2.354 | +23.58% | 2.909 |
— | — | 681 | Central America | Mexico | Veracruz (city) | Metropolitan area | 0.692 | +29.48% | 0.896 | +16.52% | 1.044 |
— | — | 684 | Central America | Mexico | Villahermosa | Metropolitan area | 0.606 | +43.23% | 0.868 | +19.47% | 1.037 |
— | 523 | 575 | Central America | Nicaragua | Managua | Urban agglomeration | 0.887 | +18.15% | 1.048 | +14.79% | 1.203 |
278 | 287 | 280 | Central America | Panama | Panama City | Urban agglomeration | 1.216 | +46.63% | 1.783 | +26.02% | 2.247 |
11 | 13 | 20 | South America | Argentina | Buenos Aires | Urban agglomeration | 12.504 | +19.70% | 14.967 | +9.95% | 16.456 |
252 | 337 | 386 | South America | Argentina | Córdoba, Argentina | Urban agglomeration | 1.348 | +14.84% | 1.548 | +10.79% | 1.715 |
— | 475 | 525 | South America | Argentina | Mendoza, Argentina | Urban agglomeration | 0.838 | +35.20% | 1.133 | +16.50% | 1.320 |
300 | 350 | 387 | South America | Argentina | Rosario | Urban agglomeration | 1.152 | +29.17% | 1.488 | +14.99% | 1.711 |
— | — | 629 | South America | Argentina | San Miguel de Tucumán | Urban agglomeration | 0.722 | +32.41% | 0.956 | +15.38% | 1.103 |
— | 425 | 414 | South America | Bolivia | Cochabamba | Urban agglomeration | 0.735 | +68.30% | 1.237 | +29.35% | 1.600 |
231 | 281 | 293 | South America | Bolivia | La Paz | Urban agglomeration | 1.415 | +28.20% | 1.814 | +19.85% | 2.174 |
343 | 316 | 308 | South America | Bolivia | Santa Cruz de la Sierra | City proper | 1.049 | +56.43% | 1.641 | +26.02% | 2.068 |
— | — | 617 | South America | Brazil | Aracaju | Metropolitan area | 0.669 | +45.44% | 0.973 | +15.83% | 1.127 |
221 | 273 | 312 | South America | Brazil | Santos, São Paulo | Metropolitan area | 1.468 | +26.23% | 1.853 | +10.90% | 2.055 |
184 | 222 | 244 | South America | Brazil | Belém | Metropolitan area | 1.724 | +32.25% | 2.280 | +11.67% | 2.546 |
49 | 66 | 75 | South America | Brazil | Belo Horizonte | Metropolitan area | 4.807 | +24.24% | 5.972 | +10.23% | 6.583 |
96 | 89 | 103 | South America | Brazil | Brasília | Metropolitan area | 2.932 | +52.46% | 4.470 | +16.31% | 5.199 |
133 | 139 | 162 | South America | Brazil | Campinas | Metropolitan area | 2.332 | +37.65% | 3.210 | +12.99% | 3.627 |
125 | 124 | 146 | South America | Brazil | Curitiba | Metropolitan area | 2.494 | +43.50% | 3.579 | +12.88% | 4.040 |
— | 442 | 501 | South America | Brazil | Florianópolis | Metropolitan area | 0.734 | +63.08% | 1.197 | +15.12% | 1.378 |
102 | 110 | 127 | South America | Brazil | Fortaleza | Metropolitan area | 2.875 | +38.33% | 3.977 | +11.79% | 4.446 |
197 | 189 | 201 | South America | Brazil | Goiânia | Metropolitan area | 1.635 | +56.88% | 2.565 | +19.14% | 3.056 |
337 | 358 | 411 | South America | Brazil | São Luís, Maranhão | Metropolitan area | 1.064 | +37.22% | 1.460 | +9.86% | 1.604 |
225 | 257 | 270 | South America | Brazil | Vitória, Espírito Santo | Metropolitan area | 1.435 | +39.58% | 2.003 | +15.38% | 2.311 |
360 | 390 | 445 | South America | Brazil | João Pessoa, Paraíba | Metropolitan area | 1.018 | +32.32% | 1.347 | +11.51% | 1.502 |
— | 419 | 475 | South America | Brazil | Joinville | Metropolitan area | 0.924 | +37.45% | 1.270 | +12.36% | 1.427 |
— | 406 | 470 | South America | Brazil | Maceió | Metropolitan area | 0.952 | +35.92% | 1.294 | +11.28% | 1.440 |
237 | 234 | 245 | South America | Brazil | Manaus | City proper | 1.392 | +55.96% | 2.171 | +16.86% | 2.537 |
— | 375 | 403 | South America | Brazil | Natal, Rio Grande do Norte | Urban agglomeration | 0.879 | +58.70% | 1.395 | +17.71% | 1.642 |
77 | 104 | 130 | South America | Brazil | Porto Alegre | Metropolitan area | 3.546 | +15.45% | 4.094 | +7.87% | 4.416 |
88 | 105 | 126 | South America | Brazil | Recife | Metropolitan area | 3.205 | +25.68% | 4.028 | +11.94% | 4.509 |
13 | 19 | 25 | South America | Brazil | Rio de Janeiro | Metropolitan area | 11.307 | +17.56% | 13.293 | +8.39% | 14.408 |
101 | 115 | 143 | South America | Brazil | Salvador, Bahia | Metropolitan area | 2.891 | +29.85% | 3.754 | +11.37% | 4.181 |
5 | 4 | 9 | South America | Brazil | São Paulo | Metropolitan area | 17.014 | +27.25% | 21.650 | +10.04% | 23.824 |
— | 547 | 626 | South America | Brazil | Teresina | Urban agglomeration | 0.788 | +27.03% | 1.001 | +10.69% | 1.108 |
39 | 55 | 63 | South America | Chile | Santiago | Urban agglomeration | 5.658 | +18.06% | 6.680 | +8.43% | 7.243 |
— | — | 668 | South America | Chile | Valparaíso | Urban agglomeration | 0.803 | +20.42% | 0.967 | +9.72% | 1.061 |
211 | 228 | 248 | South America | Colombia | Barranquilla | Urban agglomeration | 1.511 | +46.79% | 2.218 | +12.67% | 2.499 |
37 | 29 | 31 | South America | Colombia | Bogotá | Urban agglomeration | 6.329 | +67.07% | 10.574 | +16.73% | 12.343 |
— | 404 | 455 | South America | Colombia | Bucaramanga | Urban agglomeration | 0.852 | +52.00% | 1.295 | +13.75% | 1.473 |
167 | 181 | 202 | South America | Colombia | Cali | Urban agglomeration | 1.929 | +41.32% | 2.726 | +11.48% | 3.039 |
— | 524 | 605 | South America | Colombia | Cartagena, Colombia | City proper | 0.740 | +41.49% | 1.047 | +9.84% | 1.150 |
— | — | 691 | South America | Colombia | Cúcuta | Urban agglomeration | 0.632 | +44.46% | 0.913 | +12.05% | 1.023 |
108 | 112 | 138 | South America | Colombia | Medellín | Metropolitan area | 2.733 | +43.94% | 3.934 | +10.42% | 4.344 |
157 | 166 | 171 | South America | Ecuador | Guayaquil | Urban agglomeration | 2.077 | +39.58% | 2.899 | +21.11% | 3.511 |
249 | 278 | 291 | South America | Ecuador | Quito | City proper | 1.357 | +34.27% | 1.822 | +19.65% | 2.180 |
186 | 137 | 149 | South America | Paraguay | Asunción | Metropolitan area | 1.700 | +89.53% | 3.222 | +21.66% | 3.920 |
— | — | 680 | South America | Peru | Arequipa | Urban agglomeration | 0.678 | +32.74% | 0.900 | +16.22% | 1.046 |
27 | 32 | 32 | South America | Peru | Lima | Metropolitan area | 7.294 | +42.46% | 10.391 | +18.04% | 12.266 |
200 | 301 | 357 | South America | Uruguay | Montevideo | Metropolitan area | 1.600 | +8.56% | 1.737 | +4.72% | 1.819 |
— | 445 | 514 | South America | Venezuela | Barquisimeto | Metropolitan area | 0.946 | +25.69% | 1.189 | +13.71% | 1.352 |
103 | 162 | 194 | South America | Venezuela | Caracas | Metropolitan area | 2.864 | +2.48% | 2.935 | +7.80% | 3.164 |
— | — | 676 | South America | Venezuela | Ciudad Guayana | Urban agglomeration | 0.599 | +47.58% | 0.884 | +18.78% | 1.050 |
209 | 233 | 240 | South America | Venezuela | Maracaibo | Metropolitan area | 1.525 | +42.89% | 2.179 | +18.13% | 2.574 |
— | 452 | 520 | South America | Venezuela | Maracay | Metropolitan area | 0.931 | +26.53% | 1.178 | +13.75% | 1.340 |
237 | 272 | 296 | South America | Venezuela | Valencia, Venezuela | Metropolitan area | 1.392 | +33.62% | 1.860 | +15.27% | 2.144 |
— | 356 | 368 | Northern America | Canada | Calgary | Metropolitan area | 0.927 | +59.33% | 1.477 | +20.45% | 1.779 |
— | 373 | 397 | Northern America | Canada | Edmonton | Metropolitan area | 0.924 | +51.19% | 1.397 | +19.76% | 1.673 |
81 | 103 | 124 | Northern America | Canada | Montreal | Metropolitan area | 3.429 | +21.67% | 4.172 | +9.61% | 4.573 |
342 | 385 | 433 | Northern America | Canada | Ottawa Gatineau |
Metropolitan area | 1.055 | +29.19% | 1.363 | +12.62% | 1.535 |
52 | 63 | 70 | Northern America | Canada | Toronto | Metropolitan area | 4.607 | +32.02% | 6.082 | +11.69% | 6.793 |
165 | 193 | 218 | Northern America | Canada | Vancouver | Metropolitan area | 1.959 | +29.20% | 2.531 | +11.97% | 2.834 |
— | — | 690 | Northern America | United States | Albuquerque, New Mexico | Urban agglomeration | 0.601 | +47.25% | 0.885 | +16.16% | 1.028 |
79 | 69 | 74 | Northern America | United States | Atlanta | Urban agglomeration | 3.522 | +58.21% | 5.572 | +18.49% | 6.602 |
— | 264 | 254 | Northern America | United States | Austin, Texas | Urban agglomeration | 0.911 | +110.21% | 1.915 | +28.09% | 2.453 |
155 | 215 | 251 | Northern America | United States | Baltimore | Urban agglomeration | 2.079 | +11.35% | 2.315 | +7.56% | 2.490 |
60 | 97 | 123 | Northern America | United States | Boston | Urban agglomeration | 4.036 | +6.74% | 4.308 | +6.34% | 4.581 |
— | — | 698 | Northern America | United States | Bridgeport, Connecticut Stamford, Connecticut |
Urban agglomeration | 0.890 | +7.08% | 0.953 | +6.40% | 1.014 |
— | — | 684 | Northern America | United States | Cape Coral, Florida | Urban agglomeration | 0.334 | +135.03% | 0.785 | +32.10% | 1.037 |
— | 269 | 247 | Northern America | United States | Charlotte, North Carolina | Urban agglomeration | 0.768 | +145.57% | 1.886 | +33.62% | 2.520 |
24 | 39 | 48 | Northern America | United States | Chicago | Urban agglomeration | 8.315 | +6.60% | 8.864 | +6.32% | 9.424 |
213 | 302 | 340 | Northern America | United States | Cincinnati | Urban agglomeration | 1.506 | +15.07% | 1.733 | +8.54% | 1.881 |
179 | 291 | 346 | Northern America | United States | Cleveland | Urban agglomeration | 1.786 | −0.56% | 1.776 | +4.28% | 1.852 |
305 | 328 | 355 | Northern America | United States | Columbus, Ohio | Urban agglomeration | 1.139 | +40.30% | 1.598 | +14.64% | 1.832 |
58 | 62 | 65 | Northern America | United States | Dallas Fort Worth, Texas |
Urban agglomeration | 4.168 | +46.33% | 6.099 | +15.97% | 7.073 |
163 | 179 | 196 | Northern America | United States | Denver Aurora, Colorado |
Urban agglomeration | 1.994 | +38.06% | 2.753 | +14.09% | 3.141 |
63 | 122 | 158 | Northern America | United States | Detroit | Urban agglomeration | 3.899 | −7.67% | 3.600 | +2.19% | 3.679 |
— | — | 671 | Northern America | United States | El Paso, Texas | Urban agglomeration | 0.678 | +36.73% | 0.927 | +13.92% | 1.056 |
— | — | 657 | Northern America | United States | Hartford, Connecticut | Urban agglomeration | 0.853 | +16.06% | 0.990 | +8.79% | 1.077 |
64 | 60 | 62 | Northern America | United States | Houston | Urban agglomeration | 3.847 | +58.96% | 6.115 | +18.63% | 7.254 |
273 | 298 | 317 | Northern America | United States | Indianapolis | Urban agglomeration | 1.225 | +43.10% | 1.753 | +15.29% | 2.021 |
— | 423 | 475 | Northern America | United States | Jacksonville, Florida | Urban agglomeration | 0.886 | +40.41% | 1.244 | +14.71% | 1.427 |
245 | 313 | 353 | Northern America | United States | Kansas City, Missouri | Urban agglomeration | 1.365 | +21.83% | 1.663 | +10.28% | 1.834 |
258 | 191 | 193 | Northern America | United States | Las Vegas | Urban agglomeration | 1.326 | +91.63% | 2.541 | +24.87% | 3.173 |
12 | 23 | 27 | Northern America | United States | Los Angeles Long Beach, California Santa Ana, California |
Urban agglomeration | 11.798 | +5.59% | 12.458 | +6.03% | 13.209 |
— | 508 | 583 | Northern America | United States | Louisville, Kentucky | Urban agglomeration | 0.866 | +23.90% | 1.073 | +10.72% | 1.188 |
— | — | 592 | Northern America | United States | McAllen, Texas | Urban agglomeration | 0.527 | +81.78% | 0.958 | +23.07% | 1.179 |
— | 465 | 558 | Northern America | United States | Memphis, Tennessee | Urban agglomeration | 0.974 | +16.94% | 1.139 | +8.96% | 1.241 |
47 | 65 | 73 | Northern America | United States | Miami | Urban agglomeration | 4.933 | +22.36% | 6.036 | +10.40% | 6.664 |
261 | 364 | 432 | Northern America | United States | Milwaukee | Urban agglomeration | 1.311 | +9.46% | 1.435 | +7.11% | 1.537 |
128 | 168 | 192 | Northern America | United States | Minneapolis Saint Paul, Minnesota |
Urban agglomeration | 2.395 | +20.63% | 2.889 | +9.97% | 3.177 |
— | 441 | 478 | Northern America | United States | Nashville, Tennessee | Urban agglomeration | 0.755 | +58.81% | 1.199 | +18.60% | 1.422 |
365 | — | 659 | Northern America | United States | New Orleans | Urban agglomeration | 1.009 | −2.97% | 0.979 | +9.91% | 1.076 |
4 | 11 | 13 | Northern America | United States | New York City Newark, New Jersey |
Urban agglomeration | 17.813 | +5.65% | 18.819 | +6.05% | 19.958 |
— | — | 648 | Northern America | United States | Oklahoma City | Urban agglomeration | 0.750 | +29.20% | 0.969 | +12.07% | 1.086 |
298 | 270 | 283 | Northern America | United States | Orlando, Florida | Urban agglomeration | 1.165 | +61.55% | 1.882 | +19.13% | 2.242 |
45 | 68 | 82 | Northern America | United States | Philadelphia | Urban agglomeration | 5.156 | +10.45% | 5.695 | +7.36% | 6.114 |
98 | 94 | 109 | Northern America | United States | Phoenix, Arizona Mesa, Arizona |
Urban agglomeration | 2.923 | +49.13% | 4.359 | +16.56% | 5.081 |
182 | 304 | 366 | Northern America | United States | Pittsburgh | Urban agglomeration | 1.753 | −2.00% | 1.718 | +3.90% | 1.785 |
202 | 241 | 265 | Northern America | United States | Portland, Oregon | Urban agglomeration | 1.589 | +32.41% | 2.104 | +12.79% | 2.373 |
293 | 437 | 547 | Northern America | United States | Providence, Rhode Island | Urban agglomeration | 1.175 | +2.55% | 1.205 | +5.15% | 1.267 |
— | 395 | 371 | Northern America | United States | Raleigh, North Carolina | Urban agglomeration | 0.548 | +142.15% | 1.327 | +33.16% | 1.767 |
— | 503 | 569 | Northern America | United States | Richmond, Virginia | Urban agglomeration | 0.822 | +31.51% | 1.081 | +12.67% | 1.218 |
210 | 206 | 222 | Northern America | United States | Riverside, California San Bernardino, California |
Urban agglomeration | 1.516 | +56.60% | 2.374 | +18.11% | 2.804 |
234 | 249 | 262 | Northern America | United States | Sacramento, California | Urban agglomeration | 1.401 | +46.61% | 2.054 | +16.07% | 2.384 |
— | 461 | 536 | Northern America | United States | Salt Lake City | Urban agglomeration | 0.891 | +28.73% | 1.147 | +11.94% | 1.284 |
256 | 229 | 233 | Northern America | United States | San Antonio | Urban agglomeration | 1.337 | +65.82% | 2.217 | +20.03% | 2.661 |
111 | 138 | 170 | Northern America | United States | San Diego | Urban agglomeration | 2.681 | +19.81% | 3.212 | +9.78% | 3.526 |
87 | 135 | 172 | Northern America | United States | San Francisco Oakland, California |
Urban agglomeration | 3.230 | +2.94% | 3.325 | +5.29% | 3.501 |
207 | 291 | 332 | Northern America | United States | San Jose, California | Urban agglomeration | 1.541 | +15.25% | 1.776 | +8.61% | 1.929 |
109 | 132 | 155 | Northern America | United States | Seattle | Urban agglomeration | 2.720 | +24.23% | 3.379 | +10.89% | 3.747 |
155 | 230 | 267 | Northern America | United States | St. Louis | Urban agglomeration | 2.079 | +6.45% | 2.213 | +6.24% | 2.351 |
159 | 174 | 190 | Northern America | United States | Tampa, Florida St. Petersburg, Florida |
Urban agglomeration | 2.071 | +35.54% | 2.807 | +13.57% | 3.188 |
— | — | 639 | Northern America | United States | Temecula, California Murrieta, California |
Urban agglomeration | 0.234 | +223.50% | 0.757 | +44.25% | 1.092 |
— | — | 651 | Northern America | United States | Tucson, Arizona | Urban agglomeration | 0.723 | +32.78% | 0.960 | +12.92% | 1.084 |
236 | 355 | 421 | Northern America | United States | Virginia Beach, Virginia | Urban agglomeration | 1.396 | +5.87% | 1.478 | +6.16% | 1.569 |
61 | 77 | 85 | Northern America | United States | Washington, D.C. | Urban agglomeration | 3.949 | +31.86% | 5.207 | +12.69% | 5.868 |
312 | 398 | 457 | Australia/New Zealand | Australia | Adelaide | Metropolitan area | 1.122 | +17.65% | 1.320 | +11.52% | 1.472 |
199 | 213 | 228 | Australia/New Zealand | Australia | Brisbane | Metropolitan area | 1.611 | +45.13% | 2.338 | +16.51% | 2.724 |
85 | 87 | 88 | Australia/New Zealand | Australia | Melbourne | Metropolitan area | 3.361 | +41.95% | 4.771 | +20.23% | 5.736 |
232 | 258 | 273 | Australia/New Zealand | Australia | Perth | Metropolitan area | 1.407 | +41.51% | 1.991 | +15.47% | 2.299 |
67 | 86 | 93 | Australia/New Zealand | Australia | Sydney | Metropolitan area | 3.780 | +26.77% | 4.792 | +16.15% | 5.566 |
318 | 336 | 364 | Australia/New Zealand | New Zealand | Auckland | Urban agglomeration | 1.110 | +40.27% | 1.557 | +15.03% | 1.791 |
Totals
edit2000 | 2018 | 2030 | |
---|---|---|---|
Continents | 6 | 6 | 6 |
Regions | 19 | 19 | 19 |
Countries | 106 | 122 | 131 |
Cities | 371 | 548 | 706 |
By continent
editContinent | 2000 | 2018 | 2030 | |||
---|---|---|---|---|---|---|
5 | 3 | 2 | Africa | 40 | 63 | 99 |
1 | 1 | 1 | Asia | 180 | 298 | 391 |
2 | 4 | 4 | Europe | 53 | 58 | 61 |
3 | 2 | 3 | Latin America and the Caribbean | 51 | 72 | 88 |
4 | 5 | 4 | Northern America | 41 | 51 | 61 |
6 | 6 | 6 | Oceania | 6 | 6 | 6 |
By region
editContinent | Region | 2000 | 2018 | 2030 | |||
---|---|---|---|---|---|---|---|
12 | 10 | 10 | Africa | Eastern Africa | 9 | 14 | 22 |
15 | 12 | 11 | Africa | Middle Africa | 7 | 11 | 20 |
13 | 13 | 13 | Africa | Northern Africa | 8 | 10 | 15 |
17 | 16 | 16 | Africa | Southern Africa | 5 | 6 | 7 |
9 | 8 | 7 | Africa | Western Africa | 11 | 22 | 35 |
1 | 1 | 1 | Asia | Eastern Asia | 85 | 150 | 199 |
19 | 19 | 16 | Asia | Central Asia | 2 | 3 | 7 |
2 | 2 | 2 | Asia | Southern Asia | 54 | 83 | 99 |
7 | 6 | 5 | Asia | South-Eastern Asia | 19 | 30 | 43 |
6 | 5 | 5 | Asia | Western Asia | 20 | 32 | 43 |
5 | 7 | 9 | Europe | Eastern Europe | 24 | 24 | 24 |
13 | 13 | 14 | Europe | Northern Europe | 8 | 10 | 11 |
11 | 13 | 15 | Europe | Southern Europe | 10 | 10 | 10 |
9 | 10 | 12 | Europe | Western Europe | 11 | 14 | 16 |
18 | 18 | 19 | Latin America and the Caribbean | Caribbean | 4 | 4 | 4 |
8 | 8 | 8 | Latin America and the Caribbean | Central America | 12 | 22 | 32 |
4 | 4 | 4 | Latin America and the Caribbean | South America | 35 | 46 | 52 |
3 | 3 | 3 | Northern America | Northern America | 41 | 51 | 61 |
16 | 16 | 18 | Oceania | Australia/New Zealand | 6 | 6 | 6 |
By country
editContinent | Region | Country | 2000 | 2018 | 2030 | |||
---|---|---|---|---|---|---|---|---|
— | — | 65 | Africa | Eastern Africa | Burundi | 0 | 0 | 1 |
— | — | 65 | Africa | Eastern Africa | Eritrea | 0 | 0 | 1 |
41 | 52 | 65 | Africa | Eastern Africa | Ethiopia | 1 | 1 | 1 |
41 | 35 | 43 | Africa | Eastern Africa | Kenya | 1 | 2 | 2 |
41 | 52 | 65 | Africa | Eastern Africa | Madagascar | 1 | 1 | 1 |
— | 52 | 43 | Africa | Eastern Africa | Malawi | 0 | 1 | 2 |
41 | 35 | 36 | Africa | Eastern Africa | Mozambique | 1 | 2 | 3 |
— | 52 | 65 | Africa | Eastern Africa | Rwanda | 0 | 1 | 1 |
41 | 52 | 43 | Africa | Eastern Africa | Somalia | 1 | 1 | 2 |
— | — | 65 | Africa | Eastern Africa | Somaliland | 0 | 0 | 1 |
41 | 52 | 65 | Africa | Eastern Africa | Uganda | 1 | 1 | 1 |
41 | 35 | 36 | Africa | Eastern Africa | Tanzania | 1 | 2 | 3 |
41 | 52 | 43 | Africa | Eastern Africa | Zambia | 1 | 1 | 2 |
41 | 52 | 65 | Africa | Eastern Africa | Zimbabwe | 1 | 1 | 1 |
41 | 52 | 26 | Africa | Middle Africa | Angola | 1 | 1 | 5 |
29 | 35 | 43 | Africa | Middle Africa | Cameroon | 2 | 2 | 2 |
— | — | 65 | Africa | Middle Africa | Central African Republic | 0 | 0 | 1 |
— | 52 | 65 | Africa | Middle Africa | Chad | 0 | 1 | 1 |
41 | 35 | 43 | Africa | Middle Africa | Republic of the Congo | 1 | 2 | 2 |
23 | 17 | 12 | Africa | Middle Africa | Democratic Republic of the Congo | 3 | 5 | 9 |
41 | 52 | 43 | Africa | Northern Africa | Algeria | 1 | 1 | 2 |
29 | 35 | 43 | Africa | Northern Africa | Egypt | 2 | 2 | 2 |
41 | 52 | 43 | Africa | Northern Africa | Libya | 1 | 1 | 2 |
29 | 24 | 18 | Africa | Northern Africa | Morocco | 2 | 4 | 6 |
41 | 52 | 43 | Africa | Northern Africa | Sudan | 1 | 1 | 2 |
41 | 52 | 65 | Africa | Northern Africa | Tunisia | 1 | 1 | 1 |
12 | 14 | 15 | Africa | Southern Africa | South Africa | 5 | 6 | 7 |
— | — | 65 | Africa | Western Africa | Benin | 0 | 0 | 1 |
— | 52 | 43 | Africa | Western Africa | Burkina Faso | 0 | 1 | 2 |
41 | 52 | 65 | Africa | Western Africa | Ivory Coast | 1 | 1 | 1 |
29 | 35 | 36 | Africa | Western Africa | Ghana | 2 | 2 | 3 |
41 | 52 | 65 | Africa | Western Africa | Guinea | 1 | 1 | 1 |
— | 52 | 65 | Africa | Western Africa | Liberia | 0 | 1 | 1 |
41 | 52 | 65 | Africa | Western Africa | Mali | 1 | 1 | 1 |
— | 52 | 65 | Africa | Western Africa | Mauritania | 0 | 1 | 1 |
— | 52 | 65 | Africa | Western Africa | Niger | 0 | 1 | 1 |
17 | 8 | 6 | Africa | Western Africa | Nigeria | 4 | 10 | 20 |
41 | 52 | 65 | Africa | Western Africa | Senegal | 1 | 1 | 1 |
— | 52 | 65 | Africa | Western Africa | Sierra Leone | 0 | 1 | 1 |
41 | 52 | 65 | Africa | Western Africa | Togo | 1 | 1 | 1 |
1 | 1 | 1 | Asia | Eastern Asia | China | 64 | 124 | 173 |
41 | 52 | 65 | Asia | Eastern Asia | Hong Kong | 1 | 1 | 1 |
17 | 17 | 26 | Asia | Eastern Asia | Taiwan | 4 | 5 | 5 |
41 | 52 | 65 | Asia | Eastern Asia | North Korea | 1 | 1 | 1 |
7 | 11 | 14 | Asia | Eastern Asia | Japan | 8 | 8 | 8 |
— | 52 | 65 | Asia | Eastern Asia | Mongolia | 0 | 1 | 1 |
10 | 8 | 11 | Asia | Eastern Asia | South Korea | 7 | 10 | 10 |
41 | 35 | 36 | Asia | Central Asia | Kazakhstan | 1 | 2 | 3 |
— | — | 65 | Asia | Central Asia | Kyrgyzstan | 0 | 0 | 1 |
— | — | 65 | Asia | Central Asia | Tajikistan | 0 | 0 | 1 |
— | — | 65 | Asia | Central Asia | Turkmenistan | 0 | 0 | 1 |
41 | 52 | 65 | Asia | Central Asia | Uzbekistan | 1 | 1 | 1 |
41 | 52 | 65 | Asia | Southern Asia | Afghanistan | 1 | 1 | 1 |
23 | 35 | 18 | Asia | Southern Asia | Bangladesh | 3 | 2 | 6 |
3 | 2 | 2 | Asia | Southern Asia | India | 36 | 61 | 71 |
11 | 11 | 12 | Asia | Southern Asia | Iran | 6 | 8 | 9 |
— | 52 | 65 | Asia | Southern Asia | Nepal | 0 | 1 | 1 |
7 | 8 | 9 | Asia | Southern Asia | Pakistan | 8 | 10 | 11 |
41 | 52 | 65 | Asia | South-Eastern Asia | Cambodia | 1 | 1 | 1 |
6 | 7 | 7 | Asia | South-Eastern Asia | Indonesia | 10 | 14 | 19 |
41 | 52 | 43 | Asia | South-Eastern Asia | Malaysia | 1 | 1 | 2 |
41 | 35 | 43 | Asia | South-Eastern Asia | Myanmar | 1 | 2 | 2 |
29 | 35 | 26 | Asia | South-Eastern Asia | Philippines | 2 | 2 | 5 |
41 | 52 | 65 | Asia | South-Eastern Asia | Singapore | 1 | 1 | 1 |
41 | 24 | 15 | Asia | South-Eastern Asia | Thailand | 1 | 4 | 7 |
29 | 17 | 18 | Asia | South-Eastern Asia | Vietnam | 2 | 5 | 6 |
41 | 52 | 65 | Asia | Western Asia | Armenia | 1 | 1 | 1 |
41 | 52 | 65 | Asia | Western Asia | Azerbaijan | 1 | 1 | 1 |
41 | 52 | 65 | Asia | Western Asia | Georgia | 1 | 1 | 1 |
29 | 30 | 18 | Asia | Western Asia | Iraq | 2 | 3 | 6 |
41 | 35 | 43 | Asia | Western Asia | Israel | 1 | 2 | 2 |
— | — | 65 | Asia | Western Asia | Jerusalem | 0 | 0 | 1 |
41 | 52 | 65 | Asia | Western Asia | Jordan | 1 | 1 | 1 |
41 | 52 | 65 | Asia | Western Asia | Kuwait | 1 | 1 | 1 |
41 | 52 | 65 | Asia | Western Asia | Lebanon | 1 | 1 | 1 |
— | 52 | 65 | Asia | Western Asia | Oman | 0 | 1 | 1 |
23 | 17 | 26 | Asia | Western Asia | Saudi Arabia | 3 | 5 | 5 |
29 | 30 | 32 | Asia | Western Asia | Syria | 2 | 3 | 4 |
12 | 11 | 9 | Asia | Western Asia | Turkey | 5 | 8 | 11 |
— | 30 | 36 | Asia | Western Asia | United Arab Emirates | 0 | 3 | 3 |
41 | 52 | 32 | Asia | Western Asia | Yemen | 1 | 1 | 4 |
41 | 52 | 65 | Europe | Eastern Europe | Belarus | 1 | 1 | 1 |
41 | 52 | 65 | Europe | Eastern Europe | Bulgaria | 1 | 1 | 1 |
41 | 52 | 65 | Europe | Eastern Europe | Czech Republic | 1 | 1 | 1 |
41 | 52 | 65 | Europe | Eastern Europe | Hungary | 1 | 1 | 1 |
41 | 52 | 65 | Europe | Eastern Europe | Poland | 1 | 1 | 1 |
41 | 52 | 65 | Europe | Eastern Europe | Romania | 1 | 1 | 1 |
5 | 6 | 8 | Europe | Eastern Europe | Russia | 13 | 15 | 15 |
12 | 30 | 36 | Europe | Eastern Europe | Ukraine | 5 | 3 | 3 |
41 | 52 | 65 | Europe | Northern Europe | Denmark | 1 | 1 | 1 |
41 | 52 | 65 | Europe | Northern Europe | Finland | 1 | 1 | 1 |
— | 52 | 65 | Europe | Northern Europe | Ireland | 0 | 1 | 1 |
— | 52 | 65 | Europe | Northern Europe | Norway | 0 | 1 | 1 |
41 | 52 | 65 | Europe | Northern Europe | Sweden | 1 | 1 | 1 |
12 | 17 | 18 | Europe | Northern Europe | United Kingdom | 5 | 5 | 6 |
41 | 52 | 65 | Europe | Southern Europe | Greece | 1 | 1 | 1 |
17 | 24 | 32 | Europe | Southern Europe | Italy | 4 | 4 | 4 |
29 | 35 | 43 | Europe | Southern Europe | Portugal | 2 | 2 | 2 |
41 | 52 | 65 | Europe | Southern Europe | Serbia | 1 | 1 | 1 |
29 | 35 | 43 | Europe | Southern Europe | Spain | 2 | 2 | 2 |
41 | 52 | 65 | Europe | Western Europe | Austria | 1 | 1 | 1 |
41 | 35 | 43 | Europe | Western Europe | Belgium | 1 | 2 | 2 |
17 | 24 | 18 | Europe | Western Europe | France | 4 | 4 | 6 |
23 | 24 | 32 | Europe | Western Europe | Germany | 3 | 4 | 4 |
41 | 35 | 43 | Europe | Western Europe | Netherlands | 1 | 2 | 2 |
41 | 52 | 65 | Europe | Western Europe | Switzerland | 1 | 1 | 1 |
41 | 52 | 65 | Latin America and the Caribbean | Caribbean | Cuba | 1 | 1 | 1 |
41 | 52 | 65 | Latin America and the Caribbean | Caribbean | Dominican Republic | 1 | 1 | 1 |
41 | 52 | 65 | Latin America and the Caribbean | Caribbean | Haiti | 1 | 1 | 1 |
41 | 52 | 65 | Latin America and the Caribbean | Caribbean | Puerto Rico | 1 | 1 | 1 |
41 | 52 | 65 | Latin America and the Caribbean | Central America | Costa Rica | 1 | 1 | 1 |
41 | 52 | 65 | Latin America and the Caribbean | Central America | El Salvador | 1 | 1 | 1 |
41 | 52 | 65 | Latin America and the Caribbean | Central America | Guatemala | 1 | 1 | 1 |
— | 52 | 43 | Latin America and the Caribbean | Central America | Honduras | 0 | 1 | 2 |
7 | 5 | 4 | Latin America and the Caribbean | Central America | Mexico | 8 | 16 | 25 |
— | 52 | 65 | Latin America and the Caribbean | Central America | Nicaragua | 0 | 1 | 1 |
41 | 52 | 65 | Latin America and the Caribbean | Central America | Panama | 1 | 1 | 1 |
23 | 24 | 26 | Latin America and the Caribbean | South America | Argentina | 3 | 4 | 5 |
29 | 30 | 36 | Latin America and the Caribbean | South America | Bolivia | 2 | 3 | 3 |
4 | 4 | 5 | Latin America and the Caribbean | South America | Brazil | 17 | 22 | 23 |
41 | 52 | 43 | Latin America and the Caribbean | South America | Chile | 1 | 1 | 2 |
17 | 14 | 15 | Latin America and the Caribbean | South America | Colombia | 4 | 6 | 7 |
29 | 35 | 43 | Latin America and the Caribbean | South America | Ecuador | 2 | 2 | 2 |
41 | 52 | 65 | Latin America and the Caribbean | South America | Paraguay | 1 | 1 | 1 |
41 | 52 | 43 | Latin America and the Caribbean | South America | Peru | 1 | 1 | 2 |
41 | 52 | 65 | Latin America and the Caribbean | South America | Uruguay | 1 | 1 | 1 |
23 | 17 | 18 | Latin America and the Caribbean | South America | Venezuela | 3 | 5 | 6 |
17 | 14 | 18 | Northern America | Northern America | Canada | 4 | 6 | 6 |
2 | 3 | 3 | Northern America | Northern America | United States | 37 | 45 | 55 |
12 | 17 | 26 | Oceania | Australia/New Zealand | Australia | 5 | 5 | 5 |
41 | 52 | 65 | Oceania | Australia/New Zealand | New Zealand | 1 | 1 | 1 |