800 city names, grouped according to their first 2 letters:
-
Levenshtein distance
Original work by Philippe Rivière for Visionscarto.net. Comments and variants very welcome!
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December 22, 2016 16:44
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t-SNE with Levenshtein distances
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| Country Code | Urban Agglomeration | Latitude | Longitude | 2015 | 2030 | |
|---|---|---|---|---|---|---|
| 4.0 | Herat | 34.34817 | 62.19967 | 337.381 | 564.793 | |
| 4.0 | Kabul | 34.528887 | 69.17246 | 4634.875 | 8279.607 | |
| 4.0 | Kandahar | 31.61332 | 65.71013 | 428.849 | 717.068 | |
| 8.0 | Tiranë (Tirana) | 41.3275 | 19.81889 | 453.509 | 601.109 | |
| 12.0 | Annaba | 36.9 | 7.76667 | 351.556 | 456.78 | |
| 12.0 | Batna | 35.55597 | 6.17414 | 307.101 | 416.594 | |
| 12.0 | Blida | 36.480781 | 2.831943 | 409.22 | 587.237 | |
| 12.0 | El Djazaïr (Algiers) | 36.7525 | 3.04197 | 2594.112 | 3404.575 | |
| 12.0 | El Djelfa | 34.67279 | 3.263 | 388.35 | 612.107 | |
| 12.0 | Qacentina | 36.354921 | 6.607293 | 427.085 | 531.563 | |
| 12.0 | Wahran (Oran) | 35.69111 | -0.64167 | 858.272 | 1126.731 | |
| 24.0 | Huambo | -12.77611 | 15.73917 | 1269.211 | 2536.751 | |
| 24.0 | Luanda | -8.83682 | 13.23432 | 5506.0 | 10428.756 | |
| 24.0 | Lubango | -14.91717 | 13.4925 | 370.679 | 751.231 | |
| 32.0 | Bahia Blanca | -38.7196 | -62.27243 | 324.95 | 388.376 | |
| 32.0 | Buenos Aires | -34.605083 | -58.400368 | 15180.176 | 16956.491 | |
| 32.0 | Córdoba | -31.4135 | -64.18105 | 1510.913 | 1718.192 | |
| 32.0 | Corrientes | -27.4806 | -58.8341 | 383.774 | 459.276 | |
| 32.0 | La Plata | -34.92145 | -57.95453 | 846.133 | 1005.537 | |
| 32.0 | Mar Del Plata | -38.00228 | -57.55754 | 649.51 | 767.788 | |
| 32.0 | Mendoza | -32.89084 | -68.82717 | 1009.4 | 1181.223 | |
| 32.0 | Neuquén-Plottier-Cipolletti | -38.95143 | -68.064809 | 365.588 | 442.502 | |
| 32.0 | Posadas | -27.36708 | -55.89608 | 317.268 | 373.675 | |
| 32.0 | Resistencia | -27.46056 | -58.98389 | 413.843 | 487.309 | |
| 32.0 | Rosario | -32.94682 | -60.63932 | 1380.918 | 1606.993 | |
| 32.0 | Salta | -24.7859 | -65.41166 | 579.209 | 692.156 | |
| 32.0 | San Juan | -31.5375 | -68.53639 | 497.081 | 587.513 | |
| 32.0 | San Miguel de Tucumán | -26.82414 | -65.2226 | 910.069 | 1077.952 | |
| 32.0 | San Salvador de Jujuy | -24.19456 | -65.29712 | 330.348 | 394.037 | |
| 32.0 | Santa Fe | -31.632717 | -60.698281 | 791.698 | 990.313 | |
| 32.0 | Santiago Del Estero | -27.79511 | -64.26149 | 397.483 | 475.441 | |
| 51.0 | Yerevan | 40.181998 | 44.514619 | 1044.443 | 1057.459 | |
| 36.0 | Adelaide | -34.92866 | 138.59863 | 1255.516 | 1505.422 | |
| 36.0 | Brisbane | -27.46794 | 153.02809 | 2201.93 | 2721.325 | |
| 36.0 | Canberra | -35.28346 | 149.12807 | 422.674 | 542.789 | |
| 36.0 | Gold Coast | -28.00029 | 153.43088 | 588.415 | 774.964 | |
| 36.0 | Melbourne | -37.814 | 144.96332 | 4203.416 | 5070.873 | |
| 36.0 | Newcastle and Lake Macquarie | -32.924878 | 151.740852 | 372.633 | 463.098 | |
| 36.0 | Perth | -31.947841 | 115.852514 | 1861.108 | 2329.184 | |
| 36.0 | Sunshine Coast | -26.66008 | 153.09953 | 347.963 | 454.005 | |
| 36.0 | Sydney | -33.86785 | 151.20732 | 4505.341 | 5300.933 | |
| 40.0 | Wien (Vienna) | 48.206443 | 16.370725 | 1752.845 | 1959.109 | |
| 31.0 | Baku | 40.37767 | 49.89201 | 2373.633 | 2971.498 | |
| 31.0 | Gäncä | 40.68278 | 46.36056 | 323.755 | 382.171 | |
| 31.0 | Sumquayit | 40.58972 | 49.66861 | 329.9 | 397.499 | |
| 48.0 | Al-Manamah (Manama) | 26.21536 | 50.5832 | 411.162 | 549.834 | |
| 50.0 | Barisal | 22.70194 | 90.37111 | 408.041 | 652.917 | |
| 50.0 | Bogra | 24.85 | 89.36667 | 564.254 | 1014.827 | |
| 50.0 | Chittagong | 22.33306 | 91.83639 | 4539.393 | 6718.801 | |
| 50.0 | Comilla | 23.45778 | 91.20444 | 493.473 | 792.663 | |
| 50.0 | Dhaka | 23.7104 | 90.40744 | 17598.228 | 27373.593 | |
| 50.0 | Khulna | 22.80978 | 89.56439 | 1021.903 | 1336.055 | |
| 50.0 | Mymensingh | 24.75 | 90.4 | 429.416 | 632.8 | |
| 50.0 | Rajshahi | 24.36667 | 88.6 | 844.15 | 1240.216 | |
| 50.0 | Rangpur | 25.75 | 89.25 | 370.28 | 557.896 | |
| 50.0 | Sylhet | 24.89667 | 91.87167 | 671.646 | 1130.478 | |
| 112.0 | Brest | 52.09755 | 23.68775 | 320.759 | 336.696 | |
| 112.0 | Gomel | 52.4345 | 30.9754 | 483.093 | 490.845 | |
| 112.0 | Grodno | 53.6884 | 23.8258 | 339.811 | 356.705 | |
| 112.0 | Minsk | 53.9 | 27.56667 | 1915.396 | 1941.714 | |
| 112.0 | Mogilev | 53.9141 | 30.33764 | 350.842 | 316.223 | |
| 112.0 | Vitebsk | 55.19048 | 30.2033 | 352.743 | 364.13 | |
| 56.0 | Antwerpen | 51.21989 | 4.40346 | 993.511 | 1067.865 | |
| 56.0 | Bruxelles-Brussel | 50.846735 | 4.349919 | 2044.993 | 2202.566 | |
| 56.0 | Charleroi | 50.41136 | 4.44448 | 392.863 | 422.624 | |
| 56.0 | Gent | 51.05 | 3.71667 | 435.341 | 476.873 | |
| 56.0 | Liège | 50.63373 | 5.56749 | 660.055 | 708.975 | |
| 204.0 | Abomey-Calavi | 6.44852 | 2.35566 | 756.605 | 1407.379 | |
| 204.0 | Cotonou | 6.36536 | 2.41833 | 682.459 | 979.379 | |
| 68.0 | Cochabamba | -17.3895 | -66.1568 | 1240.363 | 1703.163 | |
| 68.0 | La Paz | -16.5 | -68.15 | 1816.453 | 2308.274 | |
| 68.0 | Santa Cruz | -17.79891 | -63.169825 | 2106.682 | 2989.471 | |
| 68.0 | Sucre | -19.03332 | -65.26274 | 371.933 | 541.745 | |
| 70.0 | Sarajevo | 43.84864 | 18.35644 | 318.447 | 338.554 | |
| 76.0 | Anápolis | -16.32667 | -48.95278 | 346.538 | 409.648 | |
| 76.0 | Aracaju | -10.91111 | -37.07167 | 825.267 | 996.902 | |
| 76.0 | Baixada Santista | -23.957 | -46.326609 | 1538.531 | 1768.738 | |
| 76.0 | Bauru | -22.31472 | -49.06056 | 351.747 | 411.239 | |
| 76.0 | Belém | -1.456142 | -48.478988 | 2181.607 | 2540.446 | |
| 76.0 | Belo Horizonte | -19.92083 | -43.93778 | 5716.422 | 6438.83 | |
| 76.0 | Blumenau | -26.91944 | -49.06611 | 318.979 | 385.704 | |
| 76.0 | Boa Vista | 2.81972 | -60.67333 | 330.735 | 431.688 | |
| 76.0 | Brasília | -15.77972 | -47.92972 | 4155.476 | 4929.044 | |
| 76.0 | Campina Grande | -7.23056 | -35.88111 | 386.405 | 455.263 | |
| 76.0 | Campinas | -22.910942 | -47.065587 | 3047.102 | 3559.55 | |
| 76.0 | Campo Grande | -20.456697 | -54.618515 | 840.612 | 999.798 | |
| 76.0 | Campos dos Goytacazes | -21.766369 | -41.319567 | 447.129 | 531.712 | |
| 76.0 | Caruaru | -8.28333 | -35.97611 | 315.315 | 394.289 | |
| 76.0 | Caxias Do Sul | -29.16806 | -51.17944 | 467.097 | 574.196 | |
| 76.0 | Cuiabá | -15.59611 | -56.09667 | 586.07 | 691.316 | |
| 76.0 | Curitiba | -25.42778 | -49.27306 | 3473.681 | 4115.999 | |
| 76.0 | Feira De Santana | -12.26667 | -38.96667 | 552.841 | 662.286 | |
| 76.0 | Florianópolis | -27.59667 | -48.54917 | 1180.322 | 1480.573 | |
| 76.0 | Fortaleza | -3.74117 | -38.543575 | 3880.202 | 4550.936 | |
| 76.0 | Franca | -20.53861 | -47.40083 | 328.498 | 387.28 | |
| 76.0 | Goiânia | -16.67861 | -49.25389 | 2284.828 | 2729.645 | |
| 76.0 | Grande São Luís | -2.538539 | -44.283186 | 1436.781 | 1714.4 | |
| 76.0 | Grande Vitória | -20.305424 | -40.307915 | 1636.141 | 1907.583 | |
| 76.0 | João Pessoa | -7.115 | -34.86306 | 1093.168 | 1297.881 | |
| 76.0 | Joinville | -26.30444 | -48.84556 | 1218.709 | 1450.023 | |
| 76.0 | Juazeiro Do Norte | -7.21306 | -39.31528 | 357.651 | 429.537 | |
| 76.0 | Juiz De Fora | -21.76417 | -43.35028 | 541.289 | 637.987 | |
| 76.0 | Jundiaí | -23.188254 | -46.891347 | 619.669 | 747.174 | |
| 76.0 | Londrina | -23.31028 | -51.16278 | 797.953 | 953.391 | |
| 76.0 | Macapá | 0.03889 | -51.06639 | 449.433 | 578.854 | |
| 76.0 | Maceió | -9.66583 | -35.73528 | 1266.029 | 1508.261 | |
| 76.0 | Manaus | -3.10194 | -60.025 | 2025.379 | 2454.074 | |
| 76.0 | Maringá | -23.42528 | -51.93861 | 390.378 | 482.274 | |
| 76.0 | Montes Claros | -16.735 | -43.86167 | 374.171 | 452.594 | |
| 76.0 | Natal | -5.795 | -35.20944 | 1166.515 | 1399.318 | |
| 76.0 | Pelotas | -31.77194 | -52.3425 | 307.978 | 351.283 | |
| 76.0 | Petrolina | -9.39861 | -40.50083 | 425.684 | 526.629 | |
| 76.0 | Piracicaba | -22.72528 | -47.64917 | 376.763 | 445.409 | |
| 76.0 | Ponta Grossa | -25.095 | -50.16194 | 324.426 | 387.05 | |
| 76.0 | Pôrto Alegre | -30.03306 | -51.23 | 3602.526 | 4028.31 | |
| 76.0 | Pôrto Velho | -8.76194 | -63.90389 | 463.663 | 599.996 | |
| 76.0 | Recife | -8.05389 | -34.88111 | 3738.526 | 4222.465 | |
| 76.0 | Ribeirão Preto | -21.1775 | -47.81028 | 650.502 | 779.376 | |
| 76.0 | Rio Branco | -9.97472 | -67.81 | 358.026 | 457.082 | |
| 76.0 | Rio de Janeiro | -22.90278 | -43.2075 | 12902.306 | 14173.748 | |
| 76.0 | Salvador | -12.97111 | -38.51083 | 3582.967 | 4114.902 | |
| 76.0 | São José do Rio Preto | -20.81972 | -49.37944 | 407.276 | 482.99 | |
| 76.0 | São José dos Campos | -23.17944 | -45.88694 | 571.601 | 660.98 | |
| 76.0 | São Paulo | -23.5475 | -46.63611 | 21066.245 | 23444.363 | |
| 76.0 | Sorocaba | -23.50167 | -47.45806 | 727.116 | 865.214 | |
| 76.0 | Teresina | -5.08917 | -42.80194 | 958.884 | 1121.863 | |
| 76.0 | Uberaba | -19.74833 | -47.93194 | 313.605 | 379.778 | |
| 76.0 | Uberlândia | -18.91861 | -48.27722 | 639.387 | 768.627 | |
| 76.0 | Vale do Aço | -19.940497 | -43.935443 | 497.065 | 581.519 | |
| 76.0 | Volta Redonda | -22.52306 | -44.10417 | 446.933 | 517.235 | |
| 100.0 | Plovdiv | 42.15 | 24.75 | 338.041 | 324.248 | |
| 100.0 | Sofia | 42.69751 | 23.32415 | 1226.155 | 1229.925 | |
| 100.0 | Varna | 43.21667 | 27.91667 | 341.706 | 359.068 | |
| 854.0 | Bobo-Dioulasso | 11.17715 | -4.2979 | 721.339 | 1381.482 | |
| 854.0 | Ouagadougou | 12.36423 | -1.53834 | 2741.128 | 5853.943 | |
| 108.0 | Bujumbura | -3.3822 | 29.3644 | 750.862 | 1734.514 | |
| 116.0 | Phnum Pénh (Phnom Penh) | 11.56245 | 104.91601 | 1731.286 | 2584.336 | |
| 120.0 | Bafoussam | 5.47366 | 10.41786 | 350.054 | 563.843 | |
| 120.0 | Bamenda | 5.95266 | 10.15824 | 424.196 | 703.285 | |
| 120.0 | Douala | 4.04827 | 9.70428 | 2943.318 | 4774.365 | |
| 120.0 | Loum | 4.7182 | 9.7351 | 361.518 | 645.921 | |
| 120.0 | Mbouda | 5.62578 | 10.25517 | 332.003 | 623.676 | |
| 120.0 | Yaoundé | 3.86667 | 11.51667 | 3065.692 | 5157.957 | |
| 124.0 | Calgary | 51.044072 | -114.059314 | 1337.106 | 1630.262 | |
| 124.0 | Edmonton | 53.543409 | -113.503721 | 1272.069 | 1546.963 | |
| 124.0 | Halifax | 44.647712 | -63.581778 | 404.748 | 475.42 | |
| 124.0 | Hamilton | 43.249459 | -79.847539 | 744.0 | 860.98 | |
| 124.0 | Kitchener | 43.42537 | -80.5112 | 498.909 | 588.648 | |
| 124.0 | London | 42.98339 | -81.23304 | 488.615 | 567.99 | |
| 124.0 | Montréal | 45.50884 | -73.58781 | 3980.708 | 4517.425 | |
| 124.0 | Oshawa | 43.90012 | -78.84957 | 378.185 | 454.946 | |
| 124.0 | Ottawa-Gatineau | 45.416598 | -75.697997 | 1325.846 | 1576.927 | |
| 124.0 | Québec | 46.81228 | -71.21454 | 805.113 | 947.47 | |
| 124.0 | St. Catharines-Niagara | 43.16681 | -79.24958 | 393.176 | 447.321 | |
| 124.0 | Toronto | 43.70011 | -79.4163 | 5992.739 | 6956.552 | |
| 124.0 | Vancouver | 49.24966 | -123.11934 | 2485.173 | 2929.898 | |
| 124.0 | Victoria | 48.4329 | -123.3693 | 356.552 | 418.799 | |
| 124.0 | Windsor | 42.281051 | -83.007948 | 315.475 | 355.29 | |
| 124.0 | Winnipeg | 49.895451 | -97.129437 | 759.365 | 885.305 | |
| 140.0 | Bangui | 4.36122 | 18.55496 | 794.022 | 1148.335 | |
| 148.0 | N'Djaména | 12.10672 | 15.0444 | 1260.146 | 2346.978 | |
| 152.0 | Antofagasta | -23.65 | -70.4 | 450.979 | 575.79 | |
| 152.0 | Concepción | -36.82699 | -73.04977 | 816.22 | 955.141 | |
| 152.0 | Iquique | -20.22083 | -70.14306 | 358.105 | 466.606 | |
| 152.0 | La Serena-Coquimbo | -29.90453 | -71.24894 | 457.108 | 575.854 | |
| 152.0 | Santiago | -33.45694 | -70.64827 | 6507.4 | 7122.444 | |
| 152.0 | Temuco | -38.73333 | -72.6 | 361.62 | 442.923 | |
| 152.0 | Valparaíso | -33.03932 | -71.62725 | 906.967 | 1029.397 | |
| 156.0 | Akesu | 41.169547 | 80.262646 | 340.27 | 474.942 | |
| 156.0 | Ankang | 32.691183 | 109.029694 | 486.44 | 717.082 | |
| 156.0 | Anqing | 30.542972 | 117.0533 | 639.802 | 838.695 | |
| 156.0 | Anqiu | 36.43417 | 119.1925 | 492.6 | 760.408 | |
| 156.0 | Anshan | 41.12361 | 122.99 | 1559.151 | 1886.382 | |
| 156.0 | Anshun | 26.24441 | 105.932401 | 408.714 | 576.38 | |
| 156.0 | Anyang | 36.094436 | 114.35034 | 1140.285 | 1632.59 | |
| 156.0 | Baicheng | 45.618331 | 122.841797 | 309.588 | 392.165 | |
| 156.0 | Baishan | 41.937333 | 126.422863 | 636.747 | 925.166 | |
| 156.0 | Baiyin | 36.548652 | 104.183117 | 381.793 | 478.061 | |
| 156.0 | Baoding | 38.85111 | 115.49028 | 1105.986 | 1377.007 | |
| 156.0 | Baoji | 34.365118 | 107.200449 | 1000.502 | 1329.0 | |
| 156.0 | Baotou | 40.65222 | 109.82222 | 1957.044 | 2494.597 | |
| 156.0 | Bayannaoer | 40.750478 | 107.40523 | 393.874 | 515.788 | |
| 156.0 | Bazhong | 31.866216 | 106.732539 | 678.792 | 1088.8 | |
| 156.0 | Beihai | 21.478511 | 109.119973 | 473.222 | 575.219 | |
| 156.0 | Beijing | 39.9075 | 116.39723 | 20383.994 | 27706.032 | |
| 156.0 | Bengbu | 32.94083 | 117.36083 | 841.924 | 1048.29 | |
| 156.0 | Benxi | 41.28861 | 123.765 | 1070.3 | 1338.384 | |
| 156.0 | Bijie | 27.306953 | 105.28368 | 513.757 | 725.553 | |
| 156.0 | Binzhou | 37.381079 | 118.010852 | 692.548 | 955.419 | |
| 156.0 | Botou | 38.06667 | 116.56667 | 316.299 | 451.557 | |
| 156.0 | Bozhou | 33.870279 | 115.776985 | 587.73 | 839.877 | |
| 156.0 | Cangzhou | 38.31667 | 116.86667 | 526.781 | 657.233 | |
| 156.0 | Cenxi | 22.919083 | 110.994456 | 432.055 | 638.309 | |
| 156.0 | Changchun | 43.882494 | 125.293964 | 3762.39 | 4742.114 | |
| 156.0 | Changde | 29.04638 | 111.6783 | 713.779 | 951.881 | |
| 156.0 | Changge | 34.222382 | 113.773631 | 367.453 | 552.467 | |
| 156.0 | Changji | 44.011737 | 87.303752 | 343.39 | 457.026 | |
| 156.0 | Changning | 26.407769 | 112.395699 | 408.415 | 581.656 | |
| 156.0 | Changsha | 28.227394 | 112.938269 | 3761.018 | 5013.202 | |
| 156.0 | Changshu | 31.653905 | 120.746654 | 726.067 | 1054.373 | |
| 156.0 | Changyi | 36.854566 | 119.391267 | 371.652 | 553.849 | |
| 156.0 | Changzhi | 36.192128 | 113.115533 | 738.456 | 972.845 | |
| 156.0 | Changzhou, Jiangsu | 31.794314 | 119.958917 | 2584.418 | 3380.623 | |
| 156.0 | Chaohu | 31.6 | 117.86667 | 440.626 | 566.126 | |
| 156.0 | Chaoyang | 41.577292 | 120.451132 | 505.92 | 633.848 | |
| 156.0 | Chaozhou | 23.66513 | 116.63786 | 1332.938 | 1649.534 | |
| 156.0 | Chengde | 40.967162 | 117.932222 | 682.999 | 990.532 | |
| 156.0 | Chengdu | 30.66667 | 104.06667 | 7555.705 | 10104.406 | |
| 156.0 | Chenzhou | 25.8 | 113.03333 | 740.477 | 1077.198 | |
| 156.0 | Chifeng | 42.264602 | 118.915236 | 1018.266 | 1333.243 | |
| 156.0 | Chizhou | 30.65778 | 117.48306 | 363.278 | 528.93 | |
| 156.0 | Chongqing | 29.56278 | 106.55278 | 13331.579 | 17380.364 | |
| 156.0 | Chuxiong | 25.044539 | 101.541009 | 404.152 | 571.914 | |
| 156.0 | Chuzhou | 32.29853 | 118.316399 | 449.419 | 602.75 | |
| 156.0 | Cixi | 30.176116 | 121.252392 | 1303.03 | 1828.772 | |
| 156.0 | Dafeng | 33.196372 | 120.456129 | 396.142 | 530.352 | |
| 156.0 | Dali | 25.590024 | 100.223521 | 433.6 | 597.367 | |
| 156.0 | Dalian | 38.913811 | 121.602322 | 4489.38 | 5850.602 | |
| 156.0 | Dandong | 40.119831 | 124.373852 | 820.947 | 1020.625 | |
| 156.0 | Danyang | 32.000797 | 119.574455 | 598.348 | 829.018 | |
| 156.0 | Daqing | 46.58333 | 125.0 | 1621.439 | 2112.875 | |
| 156.0 | Dashiqiao | 40.63732 | 122.50251 | 338.66 | 433.08 | |
| 156.0 | Datong | 40.080522 | 113.293045 | 1531.736 | 1987.673 | |
| 156.0 | Daye | 30.098674 | 114.970308 | 506.755 | 668.883 | |
| 156.0 | Dazhou | 31.21592 | 107.50092 | 567.86 | 780.103 | |
| 156.0 | Dengfeng | 34.45528 | 113.02806 | 393.422 | 605.439 | |
| 156.0 | Dengzhou | 32.68222 | 112.08194 | 523.539 | 760.796 | |
| 156.0 | Deyang | 31.13019 | 104.38198 | 628.815 | 864.926 | |
| 156.0 | Dezhou | 37.451765 | 116.300973 | 596.436 | 789.766 | |
| 156.0 | Donggang | 39.883429 | 124.146248 | 326.052 | 431.26 | |
| 156.0 | Dongguan | 23.02116 | 113.741411 | 7434.935 | 8700.622 | |
| 156.0 | Dongtai | 32.85231 | 120.30947 | 574.428 | 783.492 | |
| 156.0 | Dongyang | 29.275294 | 120.230273 | 504.89 | 657.012 | |
| 156.0 | Dongying | 37.453273 | 118.578519 | 967.272 | 1277.751 | |
| 156.0 | Dujiangyan | 30.996625 | 103.628081 | 346.416 | 447.34 | |
| 156.0 | Enshi | 30.290188 | 109.47854 | 428.327 | 656.464 | |
| 156.0 | Erduosi (Ordoss) | 39.591741 | 109.766573 | 589.337 | 808.051 | |
| 156.0 | Ezhou | 30.400061 | 114.884582 | 634.5 | 782.662 | |
| 156.0 | Fangchenggang | 21.765917 | 108.35395 | 339.284 | 480.945 | |
| 156.0 | Feicheng | 36.185412 | 116.767394 | 507.84 | 643.839 | |
| 156.0 | Fengcheng | 28.178737 | 115.775836 | 410.344 | 524.26 | |
| 156.0 | Foshan | 23.022778 | 113.119953 | 7035.945 | 8353.315 | |
| 156.0 | Fuan | 27.088055 | 119.645351 | 383.798 | 528.197 | |
| 156.0 | Fuqing | 25.725 | 119.37944 | 521.417 | 678.223 | |
| 156.0 | Fushun, Liaoning | 41.880737 | 123.946698 | 1298.344 | 1507.924 | |
| 156.0 | Fuxin | 42.01556 | 121.65889 | 789.748 | 977.934 | |
| 156.0 | Fuyang | 32.889497 | 115.815213 | 892.588 | 1184.928 | |
| 156.0 | Fuyang | 30.058484 | 119.943957 | 509.804 | 722.855 | |
| 156.0 | Fuzhou, Fujian | 26.075352 | 119.298946 | 3282.932 | 4335.389 | |
| 156.0 | Fuzhou, Jiangxi | 27.98119 | 116.355676 | 557.214 | 749.854 | |
| 156.0 | Ganzhou | 25.85 | 114.93333 | 801.667 | 1207.294 | |
| 156.0 | Gaoan | 28.427086 | 115.3722 | 364.961 | 523.598 | |
| 156.0 | Gaocheng | 38.023261 | 114.840049 | 344.03 | 482.808 | |
| 156.0 | Gaomi | 36.38333 | 119.75278 | 572.939 | 812.44 | |
| 156.0 | Gaoyou | 32.779085 | 119.447041 | 412.598 | 580.573 | |
| 156.0 | Gaozhou | 21.915852 | 110.849874 | 419.039 | 609.254 | |
| 156.0 | Gongyi | 34.76 | 112.97139 | 429.417 | 587.987 | |
| 156.0 | Gongzhuling | 43.50075 | 124.81979 | 353.488 | 440.473 | |
| 156.0 | Guang'an | 30.463918 | 106.63512 | 388.594 | 552.727 | |
| 156.0 | Guangyuan | 32.44202 | 105.823 | 449.702 | 618.754 | |
| 156.0 | Guangzhou, Guangdong | 23.125457 | 113.257374 | 12458.13 | 17574.395 | |
| 156.0 | Guigang | 23.09639 | 109.60917 | 760.624 | 1019.541 | |
| 156.0 | Guilin | 25.28194 | 110.28639 | 1039.864 | 1310.13 | |
| 156.0 | Guiping | 23.39336 | 110.07437 | 671.666 | 1012.136 | |
| 156.0 | Guiyang | 26.58333 | 106.71667 | 2870.895 | 3733.956 | |
| 156.0 | Haerbin | 45.756325 | 126.646688 | 5457.414 | 6860.038 | |
| 156.0 | Haicheng | 40.855239 | 122.743396 | 731.645 | 915.805 | |
| 156.0 | Haikou | 20.027423 | 110.330071 | 1903.037 | 2702.173 | |
| 156.0 | Haimen | 31.895193 | 121.168399 | 528.955 | 718.59 | |
| 156.0 | Haining | 30.527288 | 120.68968 | 454.854 | 609.306 | |
| 156.0 | Hami | 42.825945 | 93.516917 | 351.036 | 467.324 | |
| 156.0 | Hanchuan | 30.651646 | 113.832908 | 573.848 | 811.726 | |
| 156.0 | Handan | 36.60056 | 114.46778 | 1634.008 | 2304.432 | |
| 156.0 | Hangzhou | 30.29365 | 120.16142 | 6390.637 | 8821.757 | |
| 156.0 | Hanzhong | 33.07278 | 107.03028 | 368.689 | 461.609 | |
| 156.0 | Hebi | 35.747018 | 114.295632 | 518.491 | 663.045 | |
| 156.0 | Hefei | 31.86389 | 117.28083 | 3347.591 | 4152.23 | |
| 156.0 | Hegang | 47.344338 | 130.293701 | 617.138 | 750.912 | |
| 156.0 | Hejian | 38.442546 | 116.094913 | 326.696 | 503.853 | |
| 156.0 | Hengshui | 37.741068 | 115.678068 | 478.365 | 680.499 | |
| 156.0 | Hengyang | 26.884064 | 112.62509 | 1301.25 | 1746.245 | |
| 156.0 | Heshan | 22.765897 | 112.959032 | 330.233 | 452.616 | |
| 156.0 | Heyuan | 23.750937 | 114.699168 | 483.488 | 612.407 | |
| 156.0 | Heze | 35.245103 | 115.459799 | 575.447 | 701.634 | |
| 156.0 | Hezhou | 24.41518 | 111.554009 | 482.462 | 706.052 | |
| 156.0 | Hohhot | 40.81056 | 111.65222 | 1784.685 | 2429.052 | |
| 156.0 | Hsinchu | 24.805781 | 120.9703 | 518.809 | 665.305 | |
| 156.0 | Huai'an | 33.606953 | 119.014801 | 2000.195 | 2950.852 | |
| 156.0 | Huaibei | 33.954851 | 116.792878 | 980.72 | 1303.098 | |
| 156.0 | Huaihua | 27.54944 | 109.95917 | 590.382 | 849.343 | |
| 156.0 | Huainan | 32.62639 | 116.99694 | 1327.431 | 1657.041 | |
| 156.0 | Huangshan | 29.712665 | 118.322512 | 335.883 | 460.025 | |
| 156.0 | Huangshi | 30.20678 | 115.085462 | 752.808 | 959.455 | |
| 156.0 | Huizhou | 23.08333 | 114.4 | 2312.397 | 3329.825 | |
| 156.0 | Huludao | 40.75242 | 120.83552 | 703.947 | 898.707 | |
| 156.0 | Huzhou | 30.8703 | 120.0933 | 854.029 | 1131.565 | |
| 156.0 | Jiamusi | 46.797936 | 130.330183 | 668.684 | 835.108 | |
| 156.0 | Ji'an, Jiangxi | 27.1177 | 114.980419 | 375.27 | 503.795 | |
| 156.0 | Jiangmen | 22.58333 | 113.08333 | 1572.383 | 1943.442 | |
| 156.0 | Jiangyin | 31.915679 | 120.28096 | 685.661 | 957.213 | |
| 156.0 | Jianyang | 30.392089 | 104.544758 | 418.873 | 562.872 | |
| 156.0 | Jiaozhou | 36.28389 | 120.00333 | 470.972 | 640.633 | |
| 156.0 | Jiaozuo | 35.23972 | 113.23306 | 731.741 | 898.984 | |
| 156.0 | Jiaxing | 30.766487 | 120.748231 | 970.23 | 1407.931 | |
| 156.0 | Jieyang | 23.552629 | 116.372145 | 908.57 | 1289.974 | |
| 156.0 | Jilin | 43.85083 | 126.56028 | 1520.496 | 1853.881 | |
| 156.0 | Jimo | 36.38972 | 120.46222 | 633.583 | 830.482 | |
| 156.0 | Ji'nan, Shandong | 36.676721 | 116.997142 | 4032.15 | 5234.047 | |
| 156.0 | Jincheng | 35.486475 | 112.851484 | 586.233 | 832.021 | |
| 156.0 | Jingdezhen | 29.2947 | 117.20789 | 377.616 | 467.832 | |
| 156.0 | Jingjiang | 32.011966 | 120.262719 | 472.348 | 666.785 | |
| 156.0 | Jingmen | 31.041652 | 112.200343 | 438.532 | 569.238 | |
| 156.0 | Jingzhou, Hubei | 30.327567 | 112.248367 | 963.971 | 1203.355 | |
| 156.0 | Jinhua | 29.080651 | 119.646369 | 970.089 | 1494.985 | |
| 156.0 | Jining, Shandong | 35.414595 | 116.584704 | 1384.942 | 1722.382 | |
| 156.0 | Jinjiang | 24.810636 | 118.577293 | 441.904 | 578.812 | |
| 156.0 | Jinzhong | 37.688161 | 112.734878 | 512.183 | 689.959 | |
| 156.0 | Jinzhou | 41.10778 | 121.14167 | 1034.924 | 1319.197 | |
| 156.0 | Jiujiang | 29.704105 | 116.001302 | 682.276 | 889.938 | |
| 156.0 | Jixi, Heilongjiang | 45.295804 | 130.970134 | 889.816 | 1103.847 | |
| 156.0 | Jiyuan | 35.09264 | 112.583273 | 374.696 | 485.384 | |
| 156.0 | Jurong | 31.949802 | 119.160916 | 359.737 | 504.776 | |
| 156.0 | Kaifeng | 34.79111 | 114.34833 | 804.351 | 1040.727 | |
| 156.0 | Kaili | 26.583431 | 107.971854 | 308.297 | 408.342 | |
| 156.0 | Kaiping | 22.372447 | 112.702597 | 384.053 | 473.649 | |
| 156.0 | Kaohsiung | 22.625962 | 120.31546 | 1522.779 | 1796.094 | |
| 156.0 | Keelung | 25.130874 | 121.736127 | 374.313 | 443.839 | |
| 156.0 | Kelamayi | 45.594143 | 84.872929 | 399.306 | 530.479 | |
| 156.0 | Kuerle | 41.764562 | 86.147227 | 567.871 | 865.488 | |
| 156.0 | Kunming | 25.03889 | 102.71833 | 3779.558 | 4804.552 | |
| 156.0 | Kunshan | 31.388114 | 120.962872 | 581.871 | 834.351 | |
| 156.0 | Laibin | 23.737978 | 109.226765 | 354.997 | 470.134 | |
| 156.0 | Laiwu | 36.207444 | 117.672021 | 773.419 | 1037.987 | |
| 156.0 | Laixi | 36.865132 | 120.52381 | 415.425 | 578.685 | |
| 156.0 | Laiyang | 36.97583 | 120.71361 | 371.179 | 458.525 | |
| 156.0 | Laizhou | 37.179653 | 119.943045 | 385.505 | 467.537 | |
| 156.0 | Langfang | 39.50972 | 116.69472 | 621.722 | 846.099 | |
| 156.0 | Lanzhou | 36.05639 | 103.79222 | 2723.114 | 3484.521 | |
| 156.0 | Leiyang | 26.416884 | 112.850257 | 635.389 | 966.096 | |
| 156.0 | Leping | 28.971963 | 117.128335 | 314.853 | 409.961 | |
| 156.0 | Leshan | 29.576174 | 103.75896 | 811.591 | 1119.922 | |
| 156.0 | Lianyungang | 34.59687 | 119.175775 | 1099.332 | 1541.987 | |
| 156.0 | Liaocheng | 36.455124 | 115.982616 | 677.419 | 884.442 | |
| 156.0 | Liaoyang | 41.27194 | 123.17306 | 788.88 | 993.177 | |
| 156.0 | Liaoyuan | 42.90361 | 125.13583 | 376.235 | 446.962 | |
| 156.0 | Liling | 27.66667 | 113.5 | 603.089 | 922.709 | |
| 156.0 | Lin'an | 30.23583 | 119.71806 | 352.149 | 527.45 | |
| 156.0 | Linfen | 36.08889 | 111.51889 | 698.523 | 984.593 | |
| 156.0 | Linhai | 28.852887 | 121.140343 | 595.948 | 819.005 | |
| 156.0 | Linqing | 36.84556 | 115.71167 | 361.708 | 453.289 | |
| 156.0 | Linyi, Shandong | 35.054142 | 118.333365 | 1706.0 | 2204.013 | |
| 156.0 | Linzhou | 36.071045 | 113.815557 | 360.101 | 475.105 | |
| 156.0 | Lishui, Zhejiang | 28.456982 | 119.919233 | 351.506 | 490.84 | |
| 156.0 | Liuan | 31.754268 | 116.498142 | 879.069 | 1326.304 | |
| 156.0 | Liupanshui | 26.592289 | 104.837711 | 809.436 | 1201.427 | |
| 156.0 | Liuyang | 28.15 | 113.63333 | 818.578 | 1285.649 | |
| 156.0 | Liuzhou | 24.301725 | 109.378368 | 1619.165 | 2136.669 | |
| 156.0 | Liyang | 31.422985 | 119.483691 | 408.015 | 532.587 | |
| 156.0 | Longhai | 24.446231 | 117.809024 | 512.198 | 719.105 | |
| 156.0 | Longkou | 37.641712 | 120.519875 | 446.622 | 600.693 | |
| 156.0 | Longyan | 25.10722 | 117.0225 | 485.941 | 607.656 | |
| 156.0 | Loudi | 27.73444 | 111.99444 | 520.033 | 736.426 | |
| 156.0 | Luoding | 22.770797 | 111.565963 | 320.126 | 424.932 | |
| 156.0 | Luohe | 33.573149 | 114.024063 | 772.468 | 1176.377 | |
| 156.0 | Luoyang | 34.618562 | 112.456179 | 2014.999 | 2687.563 | |
| 156.0 | Luzhou | 28.877528 | 105.440814 | 778.005 | 960.113 | |
| 156.0 | Lvliang | 37.519533 | 111.131763 | 328.751 | 498.166 | |
| 156.0 | Ma'anshan | 31.707085 | 118.503768 | 858.274 | 1161.23 | |
| 156.0 | Macheng | 31.17833 | 115.03194 | 324.884 | 414.246 | |
| 156.0 | Maoming | 21.662659 | 110.923448 | 608.88 | 844.666 | |
| 156.0 | Meishan | 30.076148 | 103.845638 | 409.638 | 563.824 | |
| 156.0 | Meizhou | 24.298896 | 116.12139 | 373.373 | 468.346 | |
| 156.0 | Mianyang, Sichuan | 31.483888 | 104.737019 | 1064.818 | 1364.43 | |
| 156.0 | Miluo | 28.806933 | 113.072064 | 519.842 | 934.739 | |
| 156.0 | Mudanjiang | 44.58333 | 129.6 | 850.834 | 1072.51 | |
| 156.0 | Nanchang | 28.68333 | 115.88333 | 2526.814 | 3285.277 | |
| 156.0 | Nanchong | 30.79508 | 106.08474 | 1049.782 | 1426.112 | |
| 156.0 | Nanjing, Jiangsu | 32.048183 | 118.789812 | 7369.157 | 9754.28 | |
| 156.0 | Nankang | 25.665464 | 114.755751 | 334.999 | 477.12 | |
| 156.0 | Nanning | 22.81667 | 108.31667 | 3234.379 | 4438.356 | |
| 156.0 | Nantong | 31.990413 | 120.865451 | 1978.255 | 2755.401 | |
| 156.0 | Nanyang, Henan | 32.999941 | 112.52593 | 1011.389 | 1319.716 | |
| 156.0 | Neijiang | 29.58354 | 105.06216 | 612.687 | 756.572 | |
| 156.0 | Ningbo | 29.87819 | 121.54945 | 3131.921 | 4290.448 | |
| 156.0 | Panjin | 41.121893 | 122.070073 | 692.622 | 853.256 | |
| 156.0 | Panzhihua | 26.58509 | 101.71276 | 664.958 | 825.943 | |
| 156.0 | Pingdingshan, Henan | 33.74166 | 113.304003 | 995.333 | 1323.446 | |
| 156.0 | Pingdu | 36.780791 | 119.959214 | 471.052 | 610.722 | |
| 156.0 | Pinghu | 30.703667 | 121.009699 | 351.769 | 503.451 | |
| 156.0 | Pingxiang, Jiangxi | 27.634816 | 113.847689 | 810.12 | 1066.206 | |
| 156.0 | Pizhou | 34.31139 | 117.95028 | 810.9 | 1188.998 | |
| 156.0 | Pulandian | 39.400329 | 121.969362 | 347.731 | 447.687 | |
| 156.0 | Puning | 23.296655 | 116.164678 | 1004.867 | 1335.745 | |
| 156.0 | Putian | 25.43944 | 119.01028 | 1437.548 | 2110.806 | |
| 156.0 | Puyang | 35.77051 | 115.043769 | 523.136 | 722.961 | |
| 156.0 | Qianjiang | 30.422118 | 112.892537 | 470.787 | 598.113 | |
| 156.0 | Qingdao | 36.09861 | 120.37194 | 4565.549 | 5920.149 | |
| 156.0 | Qingyuan | 23.714582 | 113.029707 | 692.533 | 858.209 | |
| 156.0 | Qingzhou | 36.684528 | 118.479622 | 443.926 | 599.852 | |
| 156.0 | Qinhuangdao | 39.93167 | 119.58833 | 1109.249 | 1469.79 | |
| 156.0 | Qinzhou | 21.96808 | 108.62136 | 557.482 | 742.402 | |
| 156.0 | Qiqihaer | 47.34083 | 123.96722 | 1451.529 | 1797.941 | |
| 156.0 | Qitaihe | 45.767053 | 130.975 | 537.276 | 676.581 | |
| 156.0 | Quanzhou | 24.896763 | 118.599688 | 1395.334 | 1927.923 | |
| 156.0 | Qufu | 35.59667 | 116.99111 | 331.798 | 430.435 | |
| 156.0 | Qujing | 25.489377 | 103.797682 | 565.078 | 789.688 | |
| 156.0 | Quzhou | 28.95944 | 118.86861 | 559.555 | 846.567 | |
| 156.0 | Renqiu | 38.69889 | 116.09361 | 520.693 | 729.58 | |
| 156.0 | Rizhao | 35.40336 | 119.511996 | 1062.34 | 1441.267 | |
| 156.0 | Rongcheng | 37.15396 | 122.436268 | 383.087 | 479.847 | |
| 156.0 | Ruian | 27.780759 | 120.675519 | 973.064 | 1326.327 | |
| 156.0 | Sanhe | 39.981938 | 117.07133 | 436.834 | 649.34 | |
| 156.0 | Sanmenxia | 34.771452 | 111.20379 | 311.072 | 402.39 | |
| 156.0 | Sanming | 26.264076 | 117.619053 | 348.22 | 438.554 | |
| 156.0 | Sanya | 18.267573 | 109.503412 | 540.522 | 747.69 | |
| 156.0 | Shanghai | 31.22222 | 121.45806 | 23740.778 | 30750.671 | |
| 156.0 | Shangqiu | 34.424422 | 115.651378 | 709.893 | 947.737 | |
| 156.0 | Shangrao | 28.460359 | 117.953064 | 361.788 | 510.16 | |
| 156.0 | Shangyu | 30.031143 | 120.872182 | 444.162 | 591.014 | |
| 156.0 | Shantou | 23.36814 | 116.71479 | 3948.813 | 4899.353 | |
| 156.0 | Shanwei | 22.778662 | 115.356782 | 396.952 | 503.779 | |
| 156.0 | Shaoguan | 24.8 | 113.58333 | 740.723 | 893.692 | |
| 156.0 | Shaoxing | 30.011 | 120.5715 | 2075.769 | 2840.849 | |
| 156.0 | Shaoyang | 27.240329 | 111.470907 | 636.324 | 825.419 | |
| 156.0 | Shengzhou | 29.593023 | 120.821389 | 370.383 | 470.67 | |
| 156.0 | Shenyang | 41.79222 | 123.43278 | 6315.47 | 7910.905 | |
| 156.0 | Shenzhen | 22.541487 | 114.063427 | 10749.473 | 12672.821 | |
| 156.0 | Shihezi | 44.307503 | 86.03204 | 320.434 | 391.67 | |
| 156.0 | Shijiazhuang | 38.041845 | 114.510846 | 3264.498 | 4362.033 | |
| 156.0 | Shishi | 24.736683 | 118.634046 | 521.225 | 678.815 | |
| 156.0 | Shiyan | 32.644469 | 110.783587 | 830.719 | 1106.328 | |
| 156.0 | Shizuishan | 39.2333 | 106.7694 | 452.88 | 596.521 | |
| 156.0 | Shouguang | 36.878792 | 118.748212 | 506.562 | 636.847 | |
| 156.0 | Shuangyashan | 46.63611 | 131.15389 | 490.504 | 595.081 | |
| 156.0 | Shuozhou | 39.31583 | 112.4225 | 462.601 | 651.092 | |
| 156.0 | Sihui | 23.346173 | 112.695815 | 453.839 | 667.354 | |
| 156.0 | Siping | 43.16333 | 124.36861 | 547.22 | 693.409 | |
| 156.0 | Songyuan | 27.6217 | 119.0592 | 486.314 | 603.026 | |
| 156.0 | Suihua | 46.636597 | 126.982968 | 389.934 | 494.801 | |
| 156.0 | Suining, Sichuan | 30.523613 | 105.563901 | 616.2 | 807.768 | |
| 156.0 | Suizhou | 31.71111 | 113.36306 | 416.458 | 523.186 | |
| 156.0 | Suqian | 33.968102 | 118.292384 | 1049.812 | 1590.71 | |
| 156.0 | Suzhou, Anhui | 33.635918 | 116.974726 | 923.274 | 1314.603 | |
| 156.0 | Suzhou, Jiangsu | 31.302068 | 120.585259 | 5472.033 | 8098.45 | |
| 156.0 | Taian, Shandong | 36.190371 | 117.119081 | 1219.58 | 1540.791 | |
| 156.0 | Taicang | 31.454873 | 121.117171 | 528.974 | 744.681 | |
| 156.0 | Taichung | 24.141613 | 120.67274 | 1224.935 | 1527.993 | |
| 156.0 | Tainan | 23.131587 | 120.259004 | 814.971 | 995.554 | |
| 156.0 | Taipei | 25.047009 | 121.54568 | 2665.656 | 3116.192 | |
| 156.0 | Taishan | 22.250432 | 112.794336 | 452.031 | 606.056 | |
| 156.0 | Taixing | 32.16667 | 120.01361 | 638.284 | 857.46 | |
| 156.0 | Taiyuan, Shanxi | 37.861899 | 112.551572 | 3481.81 | 4396.454 | |
| 156.0 | Taizhou, Jiangsu | 32.494536 | 119.902861 | 1183.925 | 1541.171 | |
| 156.0 | Taizhou, Zhejiang | 28.637219 | 121.418459 | 1648.025 | 2188.605 | |
| 156.0 | Tangshan, Hebei | 39.628484 | 118.179931 | 2743.252 | 3801.198 | |
| 156.0 | Tengzhou | 35.084539 | 117.162387 | 956.863 | 1341.313 | |
| 156.0 | Tianjin | 39.108842 | 117.18862 | 11210.329 | 14655.411 | |
| 156.0 | Tianmen | 30.653449 | 113.160506 | 724.043 | 991.001 | |
| 156.0 | Tianshui | 34.580929 | 105.723718 | 643.951 | 883.286 | |
| 156.0 | Tieling | 42.29306 | 123.84139 | 396.367 | 487.197 | |
| 156.0 | Tongcheng | 31.053789 | 116.95557 | 332.589 | 477.708 | |
| 156.0 | Tongchuan | 34.8988 | 108.95056 | 500.833 | 637.863 | |
| 156.0 | Tonghua | 41.720071 | 125.928089 | 521.219 | 670.511 | |
| 156.0 | Tongliao | 43.6125 | 122.26528 | 611.813 | 809.147 | |
| 156.0 | Tongling | 30.936306 | 117.810916 | 489.803 | 641.748 | |
| 156.0 | Tongxiang | 30.629604 | 120.55359 | 497.317 | 713.778 | |
| 156.0 | Ürümqi (Wulumqi) | 43.82532 | 87.603835 | 3498.591 | 4831.078 | |
| 156.0 | Wafangdian | 39.626683 | 121.994937 | 434.262 | 540.8 | |
| 156.0 | Weifang | 36.71 | 119.10194 | 2194.524 | 2972.724 | |
| 156.0 | Weihai | 37.50167 | 122.11361 | 845.156 | 1176.88 | |
| 156.0 | Weinan | 34.50355 | 109.50891 | 355.847 | 435.329 | |
| 156.0 | Wenling | 28.375791 | 121.378138 | 874.592 | 1181.424 | |
| 156.0 | Wenzhou | 27.99942 | 120.66682 | 3207.846 | 4335.572 | |
| 156.0 | Wuchuan | 21.431015 | 110.776222 | 339.386 | 414.127 | |
| 156.0 | Wuhai | 39.66472 | 106.81222 | 559.346 | 729.752 | |
| 156.0 | Wuhan | 30.58333 | 114.26667 | 7905.572 | 9441.574 | |
| 156.0 | Wuhu, Anhui | 31.333557 | 118.381175 | 1424.491 | 2074.276 | |
| 156.0 | Wuwei | 37.925127 | 102.633659 | 361.848 | 467.464 | |
| 156.0 | Wuxi, Jiangsu | 31.536681 | 120.298556 | 3049.042 | 3862.473 | |
| 156.0 | Wuzhou | 23.483239 | 111.274132 | 603.678 | 802.019 | |
| 156.0 | Xiamen | 24.47979 | 118.08187 | 4430.081 | 6911.028 | |
| 156.0 | Xi'an, Shaanxi | 34.289413 | 108.940242 | 6043.7 | 7903.831 | |
| 156.0 | Xiangcheng | 33.444151 | 114.898161 | 359.269 | 542.626 | |
| 156.0 | Xiangtan, Hunan | 27.828265 | 112.926952 | 1009.562 | 1311.127 | |
| 156.0 | Xiangyang | 32.008764 | 112.144038 | 1533.332 | 1907.361 | |
| 156.0 | Xianning | 29.835577 | 114.330269 | 344.475 | 417.025 | |
| 156.0 | Xiantao | 30.371768 | 113.448402 | 568.767 | 693.722 | |
| 156.0 | Xianyang, Shaanxi | 34.338637 | 108.701548 | 679.696 | 836.659 | |
| 156.0 | Xiaogan | 30.925566 | 113.91746 | 670.573 | 898.437 | |
| 156.0 | Xinghua | 32.937332 | 119.838732 | 669.57 | 905.406 | |
| 156.0 | Xingning | 24.145484 | 115.725321 | 361.87 | 548.924 | |
| 156.0 | Xingtai | 37.06306 | 114.49417 | 741.757 | 959.566 | |
| 156.0 | Xingyang | 34.791577 | 113.383427 | 324.381 | 455.815 | |
| 156.0 | Xingyi, Guizhou | 25.09446 | 104.898285 | 350.455 | 436.421 | |
| 156.0 | Xining | 36.61667 | 101.76667 | 1322.966 | 1749.812 | |
| 156.0 | Xinmi | 34.535524 | 113.389003 | 450.281 | 652.393 | |
| 156.0 | Xintai | 35.90056 | 117.75194 | 785.12 | 1067.094 | |
| 156.0 | Xinxiang | 35.298867 | 113.901477 | 990.826 | 1249.324 | |
| 156.0 | Xinyang | 32.128856 | 114.074643 | 701.489 | 918.669 | |
| 156.0 | Xinyi | 34.366827 | 118.343018 | 470.724 | 642.792 | |
| 156.0 | Xinyi | 22.358519 | 110.938758 | 363.93 | 469.292 | |
| 156.0 | Xinyu | 27.80429 | 114.93335 | 691.59 | 971.66 | |
| 156.0 | Xinzheng | 34.398508 | 113.736824 | 384.321 | 514.311 | |
| 156.0 | Xinzhou | 38.417329 | 112.733107 | 321.417 | 434.198 | |
| 156.0 | Xuancheng | 30.948973 | 118.752396 | 380.17 | 534.411 | |
| 156.0 | Xuchang | 34.01667 | 113.81667 | 516.044 | 670.881 | |
| 156.0 | Xuzhou | 34.263685 | 117.186605 | 1917.791 | 2444.725 | |
| 156.0 | Yanan | 36.596722 | 109.483756 | 430.164 | 633.498 | |
| 156.0 | Yancheng, Jiangsu | 33.356867 | 120.155148 | 1435.817 | 2059.252 | |
| 156.0 | Yangjiang | 21.861445 | 111.956303 | 542.177 | 693.399 | |
| 156.0 | Yangquan | 37.85578 | 113.582568 | 699.22 | 915.247 | |
| 156.0 | Yangzhou | 32.391492 | 119.423807 | 1765.449 | 2269.036 | |
| 156.0 | Yanji | 42.9075 | 129.50778 | 588.297 | 796.893 | |
| 156.0 | Yanshi | 34.729344 | 112.779926 | 386.647 | 573.563 | |
| 156.0 | Yantai | 37.465087 | 121.437152 | 2114.415 | 2838.009 | |
| 156.0 | Yibin | 28.76667 | 104.62383 | 733.603 | 941.829 | |
| 156.0 | Yichang | 30.71444 | 111.28472 | 1263.722 | 1743.488 | |
| 156.0 | Yichun, Heilongjiang | 47.724475 | 128.83367 | 643.781 | 717.822 | |
| 156.0 | Yichun, Jiangxi | 27.806158 | 114.389221 | 642.83 | 1013.091 | |
| 156.0 | Yinchuan | 38.46806 | 106.27306 | 1596.395 | 2460.659 | |
| 156.0 | Yingde | 24.197408 | 113.405468 | 384.224 | 501.958 | |
| 156.0 | Yingkou | 40.66482 | 122.22833 | 1025.941 | 1380.354 | |
| 156.0 | Yining | 43.919634 | 81.316125 | 325.801 | 417.864 | |
| 156.0 | Yiwu | 29.31506 | 120.07676 | 1080.473 | 1520.453 | |
| 156.0 | Yixing | 31.359926 | 119.776306 | 385.393 | 503.758 | |
| 156.0 | Yiyang, Hunan | 28.566585 | 112.348737 | 472.039 | 642.325 | |
| 156.0 | Yongcheng | 33.93177 | 116.44338 | 390.067 | 543.183 | |
| 156.0 | Yongkang | 28.903339 | 120.032761 | 441.413 | 604.518 | |
| 156.0 | Yongzhou | 26.435132 | 111.606348 | 648.82 | 900.555 | |
| 156.0 | Yuanjiang | 28.843025 | 112.364162 | 309.137 | 402.692 | |
| 156.0 | Yueqing | 28.1194 | 120.9612 | 870.094 | 1201.871 | |
| 156.0 | Yueyang | 29.372239 | 113.115285 | 961.629 | 1175.911 | |
| 156.0 | Yulin, Guangxi | 22.633869 | 110.153301 | 577.127 | 718.24 | |
| 156.0 | Yulin, Shaanxi | 38.28384 | 109.731486 | 369.743 | 468.208 | |
| 156.0 | Yuncheng | 35.02306 | 110.99278 | 535.318 | 765.186 | |
| 156.0 | Yushu | 44.824348 | 126.551011 | 314.438 | 415.645 | |
| 156.0 | Yuxi | 24.3567 | 102.539544 | 383.734 | 555.986 | |
| 156.0 | Yuyao | 30.042582 | 121.15306 | 596.274 | 783.72 | |
| 156.0 | Zaoyang | 32.12722 | 112.75417 | 495.536 | 651.343 | |
| 156.0 | Zaozhuang | 34.86472 | 117.55417 | 1028.183 | 1263.922 | |
| 156.0 | Zengcheng | 23.294152 | 113.825552 | 504.779 | 683.459 | |
| 156.0 | Zhangjiagang | 31.865 | 120.53889 | 519.55 | 743.793 | |
| 156.0 | Zhangjiakou | 40.81 | 114.87944 | 983.441 | 1224.814 | |
| 156.0 | Zhangqiu | 36.701031 | 117.52711 | 569.315 | 786.592 | |
| 156.0 | Zhangye | 38.93417 | 100.45167 | 419.23 | 521.117 | |
| 156.0 | Zhangzhou | 24.5133 | 117.6556 | 726.117 | 993.203 | |
| 156.0 | Zhanjiang | 21.266159 | 110.359639 | 1149.05 | 1476.491 | |
| 156.0 | Zhaodong | 46.066829 | 125.989643 | 440.154 | 626.484 | |
| 156.0 | Zhaoqing | 23.05116 | 112.45972 | 626.111 | 819.052 | |
| 156.0 | Zhaoyuan | 37.35917 | 120.39639 | 311.095 | 406.55 | |
| 156.0 | Zhengzhou | 34.75778 | 113.64861 | 4387.118 | 5899.771 | |
| 156.0 | Zhenjiang, Jiangsu | 32.202713 | 119.44894 | 1049.853 | 1349.022 | |
| 156.0 | Zhongshan | 22.517992 | 113.383938 | 3691.36 | 5517.538 | |
| 156.0 | Zhongxiang | 31.16611 | 112.58306 | 462.428 | 577.316 | |
| 156.0 | Zhoukou | 33.617368 | 114.646126 | 543.671 | 744.317 | |
| 156.0 | Zhoushan | 29.988548 | 122.213475 | 590.816 | 756.623 | |
| 156.0 | Zhuanghe | 39.705122 | 122.968765 | 373.011 | 531.671 | |
| 156.0 | Zhucheng | 35.99472 | 119.3975 | 716.674 | 1008.974 | |
| 156.0 | Zhuhai | 22.2769 | 113.5678 | 1541.9 | 2002.936 | |
| 156.0 | Zhuji | 29.713158 | 120.236819 | 682.27 | 895.72 | |
| 156.0 | Zhumadian | 32.97944 | 114.02944 | 560.584 | 809.021 | |
| 156.0 | Zhuzhou | 27.83333 | 113.15 | 1083.065 | 1368.72 | |
| 156.0 | Zibo | 36.79056 | 118.06333 | 2430.356 | 3014.5 | |
| 156.0 | Zigong | 29.34162 | 104.77689 | 697.647 | 861.618 | |
| 156.0 | Ziyang | 30.12563 | 104.630483 | 430.767 | 577.801 | |
| 156.0 | Zunyi | 27.711309 | 106.936512 | 802.723 | 1049.73 | |
| 344.0 | Hong Kong | 22.279588 | 114.188697 | 7313.557 | 7885.155 | |
| 446.0 | Macao | 22.20056 | 113.54611 | 584.42 | 701.551 | |
| 170.0 | Armenia | 4.53389 | -75.68111 | 399.62 | 496.73 | |
| 170.0 | Barranquilla | 10.96389 | -74.79639 | 1991.158 | 2369.516 | |
| 170.0 | Bogotá | 4.60971 | -74.08175 | 9764.769 | 11966.118 | |
| 170.0 | Bucaramanga | 7.12539 | -73.1198 | 1215.066 | 1506.917 | |
| 170.0 | Buenaventura | 3.885028 | -77.07001 | 412.365 | 543.301 | |
| 170.0 | Cali | 3.43722 | -76.5225 | 2645.941 | 3202.673 | |
| 170.0 | Cartagena | 10.39972 | -75.51444 | 1092.336 | 1372.243 | |
| 170.0 | Cúcuta | 7.89391 | -72.50782 | 851.312 | 1046.933 | |
| 170.0 | Ibagué | 4.43889 | -75.23222 | 611.95 | 777.836 | |
| 170.0 | Manizales | 5.06889 | -75.51738 | 448.951 | 545.546 | |
| 170.0 | Medellín | 6.25184 | -75.56359 | 3910.989 | 4747.383 | |
| 170.0 | Monteria | 8.74798 | -75.88143 | 370.762 | 473.239 | |
| 170.0 | Neiva | 2.9273 | -75.28188 | 355.131 | 440.284 | |
| 170.0 | Pasto | 1.21361 | -77.28111 | 363.298 | 444.21 | |
| 170.0 | Pereira | 4.81333 | -75.69611 | 598.019 | 711.861 | |
| 170.0 | Santa Marta | 11.24079 | -74.19904 | 517.627 | 667.255 | |
| 170.0 | Valledupar | 10.46314 | -73.25322 | 414.567 | 542.855 | |
| 170.0 | Villavicencio | 4.142 | -73.62664 | 552.094 | 746.836 | |
| 178.0 | Brazzaville | -4.26583 | 15.28318 | 1887.625 | 2979.227 | |
| 178.0 | Pointe-Noire | -4.77609 | 11.86352 | 968.526 | 1525.239 | |
| 188.0 | San José | 9.927817 | -84.080685 | 1170.188 | 1500.555 | |
| 384.0 | Abidjan | 5.345339 | -4.026789 | 4859.798 | 7772.628 | |
| 384.0 | Bouake | 7.69385 | -5.03031 | 761.547 | 1218.641 | |
| 384.0 | San Pedro | 4.7333333 | -6.6166667 | 347.358 | 630.097 | |
| 191.0 | Zagreb | 45.81444 | 15.97798 | 686.902 | 731.507 | |
| 192.0 | Camaguey | 21.38083 | -77.91694 | 315.03 | 330.659 | |
| 192.0 | Holguin | 20.88722 | -76.26306 | 306.323 | 330.106 | |
| 192.0 | La Habana (Havana) | 23.119541 | -82.378493 | 2137.097 | 2104.358 | |
| 192.0 | Santiago de Cuba | 20.02472 | -75.82194 | 475.081 | 505.204 | |
| 203.0 | Brno | 49.19522 | 16.60796 | 390.247 | 427.938 | |
| 203.0 | Praha (Prague) | 50.08804 | 14.42076 | 1313.557 | 1436.942 | |
| 408.0 | Chongjin | 41.79556 | 129.77583 | 630.562 | 746.249 | |
| 408.0 | Hamhung | 39.91833 | 127.53639 | 575.534 | 647.053 | |
| 408.0 | P'yongyang | 39.03385 | 125.75432 | 2862.921 | 3277.211 | |
| 408.0 | Sinuiju | 40.10056 | 124.39806 | 326.215 | 384.994 | |
| 408.0 | Wonsan | 39.15278 | 127.44361 | 342.41 | 413.577 | |
| 180.0 | Bukavu | -2.50833 | 28.86083 | 832.238 | 1509.907 | |
| 180.0 | Bunia | 1.566666667 | 30.25 | 485.013 | 940.399 | |
| 180.0 | Goma | -1.679166667 | 29.22277778 | 474.007 | 885.428 | |
| 180.0 | Kananga | -5.89624 | 22.41659 | 1168.687 | 2053.452 | |
| 180.0 | Kikwit | -5.04098 | 18.81619 | 427.245 | 724.708 | |
| 180.0 | Kinshasa | -4.32758 | 15.31357 | 11586.914 | 19996.156 | |
| 180.0 | Kisangani | 0.51667 | 25.2 | 1039.612 | 1786.295 | |
| 180.0 | Kolwezi | -10.71484 | 25.46674 | 480.6 | 725.045 | |
| 180.0 | Likasi | -10.98139 | 26.73333 | 494.449 | 815.43 | |
| 180.0 | Lubumbashi | -11.66089 | 27.47938 | 2015.091 | 3489.454 | |
| 180.0 | Matadi | -5.8177 | 13.4717 | 336.74 | 559.85 | |
| 180.0 | Mbandaka | 0.04865 | 18.26034 | 375.621 | 633.873 | |
| 180.0 | Mbuji-Mayi | -6.15 | 23.6 | 2006.641 | 3540.552 | |
| 180.0 | Tshikapa | -6.41621 | 20.79995 | 689.55 | 1281.816 | |
| 180.0 | Uvira | -3.39534 | 29.13779 | 442.399 | 824.193 | |
| 208.0 | København (Copenhagen) | 55.67594 | 12.56553 | 1268.052 | 1454.647 | |
| 262.0 | Djibouti | 11.58767 | 43.14468 | 528.627 | 639.311 | |
| 214.0 | Santiago | 19.460205 | -70.699686 | 577.246 | 736.024 | |
| 214.0 | Santo Domingo | 18.489591 | -69.901805 | 2945.353 | 3887.701 | |
| 218.0 | Cuenca | -2.88333 | -78.98333 | 360.505 | 482.8 | |
| 218.0 | Guayaquil | -2.16667 | -79.9 | 2709.329 | 3493.183 | |
| 218.0 | Quito | -0.22985 | -78.52495 | 1726.075 | 2228.316 | |
| 218.0 | Santo Domingo | -0.253431 | -79.169555 | 316.172 | 449.194 | |
| 818.0 | Al-Fayyum | 29.30995 | 30.8418 | 372.108 | 506.835 | |
| 818.0 | Al-Iskandariyah (Alexandria) | 31.192471 | 29.904596 | 4777.677 | 6312.644 | |
| 818.0 | Al-Ismailiyah | 30.60427 | 32.27225 | 329.99 | 440.891 | |
| 818.0 | Al-Mahallah al-Kubra | 30.9745 | 31.16499 | 488.254 | 642.779 | |
| 818.0 | Al-Mansurah | 31.03637 | 31.38069 | 509.35 | 685.908 | |
| 818.0 | Al-Qahirah (Cairo) | 30.039173 | 31.239411 | 18771.769 | 24502.15 | |
| 818.0 | As-Suways | 29.968133 | 32.547497 | 583.108 | 785.971 | |
| 818.0 | Aswan | 24.09343 | 32.90704 | 313.396 | 427.889 | |
| 818.0 | Asyut | 27.18096 | 31.18368 | 432.801 | 572.929 | |
| 818.0 | Az-Zaqazig | 30.5875 | 31.50194444 | 336.54 | 446.9 | |
| 818.0 | Bur Sa'id | 31.25654 | 32.28412 | 670.47 | 905.188 | |
| 818.0 | Kafr-ad-Dawwar | 31.13385 | 30.12843 | 316.019 | 427.15 | |
| 818.0 | Tanta | 30.787176 | 30.999539 | 470.513 | 622.42 | |
| 222.0 | San Salvador | 13.68935 | -89.18718 | 1098.494 | 1253.614 | |
| 232.0 | Asmara | 15.33333 | 38.93333 | 803.791 | 1556.633 | |
| 233.0 | Tallinn | 59.43696 | 24.75353 | 391.111 | 382.188 | |
| 231.0 | Addis Ababa | 9.02497 | 38.74689 | 3237.525 | 5850.804 | |
| 231.0 | Mekele | 13.49667 | 39.47528 | 314.595 | 633.236 | |
| 246.0 | Helsinki | 60.169246 | 24.940216 | 1179.916 | 1293.234 | |
| 246.0 | Tampere | 61.49911 | 23.78712 | 323.75 | 363.759 | |
| 250.0 | Avignon | 43.94834 | 4.80892 | 459.893 | 531.49 | |
| 250.0 | Béthune | 50.53333 | 2.63333 | 355.852 | 403.263 | |
| 250.0 | Bordeaux | 44.84044 | -0.5805 | 890.76 | 1029.906 | |
| 250.0 | Douai-Lens | 50.368243 | 3.079497 | 503.977 | 560.108 | |
| 250.0 | Grenoble | 45.16667 | 5.71667 | 503.406 | 569.0 | |
| 250.0 | Lille | 50.63297 | 3.05858 | 1027.178 | 1142.143 | |
| 250.0 | Lyon | 45.74846 | 4.84671 | 1608.712 | 1813.801 | |
| 250.0 | Marseille-Aix-en-Provence | 43.528414 | 5.443298 | 1605.046 | 1798.495 | |
| 250.0 | Montpellier | 43.61092 | 3.87723 | 413.309 | 484.984 | |
| 250.0 | Nantes | 47.21725 | -1.55336 | 613.441 | 703.921 | |
| 250.0 | Nice-Cannes | 43.6646 | 7.15339 | 966.529 | 1090.776 | |
| 250.0 | Paris | 48.85341 | 2.3488 | 10843.285 | 11803.252 | |
| 250.0 | Rennes | 48.11198 | -1.67429 | 329.373 | 388.978 | |
| 250.0 | Rouen | 49.44313 | 1.09932 | 464.492 | 521.094 | |
| 250.0 | Saint-Étienne | 45.43333 | 4.4 | 367.175 | 409.533 | |
| 250.0 | Strasbourg | 48.58342 | 7.74296 | 460.529 | 525.689 | |
| 250.0 | Toulon | 43.123989 | 5.933225 | 575.737 | 658.885 | |
| 250.0 | Toulouse | 43.60426 | 1.44367 | 937.827 | 1091.415 | |
| 250.0 | Tours | 47.38333 | 0.68333 | 352.551 | 402.852 | |
| 250.0 | Valenciennes | 50.35 | 3.53333 | 335.094 | 377.967 | |
| 266.0 | Libreville | 0.3925 | 9.45365 | 707.225 | 953.501 | |
| 270.0 | Banjul | 13.453099 | -16.679433 | 503.648 | 833.568 | |
| 268.0 | Tbilisi | 41.69411 | 44.83368 | 1147.486 | 1118.578 | |
| 276.0 | Berlin | 52.52437 | 13.41053 | 3563.194 | 3657.659 | |
| 276.0 | Bielefeld | 52.03333 | 8.53333 | 321.279 | 337.71 | |
| 276.0 | Bochum | 51.48333 | 7.21667 | 367.305 | 380.032 | |
| 276.0 | Bonn | 50.73438 | 7.09548 | 336.845 | 367.401 | |
| 276.0 | Bremen | 53.07516 | 8.80777 | 548.98 | 575.61 | |
| 276.0 | Dortmund | 51.51667 | 7.45 | 576.642 | 598.078 | |
| 276.0 | Dresden | 51.05089 | 13.73832 | 549.637 | 600.041 | |
| 276.0 | Duesseldorf | 51.22172 | 6.77616 | 602.747 | 642.388 | |
| 276.0 | Duisburg | 51.43333 | 6.75 | 475.319 | 488.083 | |
| 276.0 | Essen | 51.45374 | 7.010388 | 566.488 | 584.578 | |
| 276.0 | Frankfurt am Main | 50.11667 | 8.68333 | 715.192 | 773.69 | |
| 276.0 | Hamburg | 53.55 | 10.0 | 1830.673 | 1906.25 | |
| 276.0 | Hannover | 52.37052 | 9.73322 | 532.542 | 566.007 | |
| 276.0 | Karlsruhe | 49.00472 | 8.38583 | 304.686 | 331.912 | |
| 276.0 | Köln (Cologne) | 50.93333 | 6.95 | 1036.771 | 1094.562 | |
| 276.0 | Leipzig | 51.33962 | 12.37129 | 550.752 | 600.011 | |
| 276.0 | Mannheim | 49.48833 | 8.46472 | 318.966 | 342.754 | |
| 276.0 | Muenster (Westfalen) | 51.96236 | 7.62571 | 304.432 | 338.728 | |
| 276.0 | München (Munich) | 48.137076 | 11.573377 | 1437.9 | 1548.031 | |
| 276.0 | Nurenberg | 49.450418 | 11.075791 | 517.098 | 549.962 | |
| 276.0 | Stuttgart | 48.78232 | 9.17702 | 625.511 | 667.821 | |
| 276.0 | Wuppertal | 51.26667 | 7.18333 | 343.854 | 356.995 | |
| 288.0 | Accra | 5.55602 | -0.1969 | 2277.298 | 3262.379 | |
| 288.0 | Kumasi | 6.68848 | -1.62443 | 2598.789 | 4214.991 | |
| 288.0 | Sekondi Takoradi | 4.934 | -1.7137 | 710.751 | 1197.101 | |
| 288.0 | Tamale | 9.40078 | -0.8393 | 485.905 | 816.579 | |
| 300.0 | Athínai (Athens) | 37.95342 | 23.74897 | 3051.899 | 3169.181 | |
| 300.0 | Thessaloniki | 40.64028 | 22.94389 | 736.628 | 778.635 | |
| 320.0 | Ciudad de Guatemala (Guatemala City) | 14.612652 | -90.530746 | 2918.337 | 4650.489 | |
| 324.0 | Conakry | 9.571642 | -13.647602 | 1936.045 | 3133.801 | |
| 324.0 | Nzérékoré | 7.75624 | -8.8179 | 345.543 | 641.69 | |
| 624.0 | Bissau | 11.86357 | -15.59767 | 492.069 | 820.944 | |
| 332.0 | Port-au-Prince | 18.53917 | -72.335 | 2439.775 | 3524.841 | |
| 340.0 | Choloma | 15.61444 | -87.95302 | 453.105 | 850.484 | |
| 340.0 | San Pedro Sula | 15.5 | -88.03333 | 852.261 | 1304.707 | |
| 340.0 | Tegucigalpa | 14.0818 | -87.20681 | 1122.523 | 1613.259 | |
| 348.0 | Budapest | 47.49801 | 19.03991 | 1713.903 | 1810.73 | |
| 356.0 | Agartala | 23.83639 | 91.275 | 550.249 | 954.556 | |
| 356.0 | Agra | 27.18333 | 78.01667 | 1966.249 | 2793.02 | |
| 356.0 | Ahmadabad | 23.03333 | 72.61667 | 7342.85 | 10526.6 | |
| 356.0 | Ahmadnagar | 19.08333 | 74.73333 | 394.264 | 529.293 | |
| 356.0 | Aizawl | 23.72444 | 92.7175 | 323.031 | 461.22 | |
| 356.0 | Ajmer | 26.45 | 74.63333 | 579.258 | 782.94 | |
| 356.0 | Akola | 20.73333 | 77.0 | 438.856 | 582.958 | |
| 356.0 | Aligarh | 27.88333 | 78.08333 | 1037.402 | 1502.317 | |
| 356.0 | Allahabad | 25.45 | 81.85 | 1294.851 | 1754.767 | |
| 356.0 | Alwar | 27.56246 | 76.625 | 379.64 | 543.349 | |
| 356.0 | Amravati | 20.93333 | 77.75 | 692.947 | 951.669 | |
| 356.0 | Amritsar | 31.630953 | 74.875536 | 1264.932 | 1721.216 | |
| 356.0 | Anand | 22.56667 | 72.93333 | 322.43 | 466.809 | |
| 356.0 | Anantapur | 14.68333 | 77.6 | 395.171 | 585.773 | |
| 356.0 | Asansol | 23.68333 | 86.98333 | 1313.452 | 1768.061 | |
| 356.0 | Aurangabad | 19.876619 | 75.34331 | 1344.253 | 1924.698 | |
| 356.0 | Baharampur | 24.1 | 88.25 | 312.333 | 414.491 | |
| 356.0 | Bangalore | 12.97194 | 77.59369 | 10087.132 | 14762.088 | |
| 356.0 | Barddhaman | 23.24056 | 87.86944 | 376.698 | 527.325 | |
| 356.0 | Bareilly | 28.35 | 79.41667 | 1110.8 | 1598.249 | |
| 356.0 | Bathinda | 30.2 | 74.95 | 321.079 | 464.734 | |
| 356.0 | Begusarai | 25.41666667 | 86.13333333 | 361.544 | 656.714 | |
| 356.0 | Belgaum | 15.85212 | 74.50447 | 660.357 | 915.889 | |
| 356.0 | Bellary | 15.15 | 76.93333 | 456.788 | 654.007 | |
| 356.0 | Bhagalpur | 25.25 | 87.0 | 438.792 | 604.919 | |
| 356.0 | Bhavnagar | 21.76667 | 72.15 | 648.124 | 889.008 | |
| 356.0 | Bhilwara | 25.35 | 74.63333 | 400.455 | 572.921 | |
| 356.0 | Bhiwandi | 19.3 | 73.06667 | 792.708 | 1090.403 | |
| 356.0 | Bhopal | 23.26667 | 77.4 | 2101.61 | 2958.671 | |
| 356.0 | Bhubaneswar | 20.23333 | 85.83333 | 999.369 | 1439.127 | |
| 356.0 | Bihar Sharif | 25.18333 | 85.51667 | 329.692 | 472.007 | |
| 356.0 | Bijapur | 16.82442 | 75.71537 | 363.456 | 521.134 | |
| 356.0 | Bikaner | 28.01667 | 73.3 | 705.838 | 984.356 | |
| 356.0 | Bilaspur | 22.078278 | 82.14574 | 517.962 | 758.058 | |
| 356.0 | Bokaro Steel City | 23.78732 | 85.95622 | 593.455 | 803.815 | |
| 356.0 | Brahmapur | 19.31667 | 84.78333 | 388.2 | 545.753 | |
| 356.0 | Chandigarh | 30.7343 | 76.7933 | 1134.471 | 1595.437 | |
| 356.0 | Chandrapur | 19.95 | 79.3 | 331.266 | 443.223 | |
| 356.0 | Chennai (Madras) | 13.053091 | 80.24875 | 9890.427 | 13920.944 | |
| 356.0 | Cherthala | 9.683497 | 76.336654 | 592.578 | 975.124 | |
| 356.0 | Coimbatore | 10.9925 | 76.96139 | 2548.564 | 3782.486 | |
| 356.0 | Cuttack | 20.46497 | 85.87927 | 691.4 | 931.466 | |
| 356.0 | Darbhanga | 26.16667 | 85.9 | 324.292 | 444.68 | |
| 356.0 | Davangere | 14.460849 | 75.919871 | 469.362 | 651.571 | |
| 356.0 | Dehradun | 30.31667 | 78.03333 | 812.28 | 1176.503 | |
| 356.0 | Delhi | 28.66667 | 77.21667 | 25703.168 | 36060.1 | |
| 356.0 | Dewas | 22.96667 | 76.06667 | 318.7 | 452.892 | |
| 356.0 | Dhanbad | 23.8 | 86.45 | 1254.832 | 1679.921 | |
| 356.0 | Dhule | 20.9 | 74.78333 | 391.559 | 527.207 | |
| 356.0 | Dindigul | 10.36896 | 77.98036 | 345.873 | 524.984 | |
| 356.0 | Durgapur | 23.520444 | 87.311923 | 623.344 | 857.695 | |
| 356.0 | Durg-Bhilainagar | 21.188706 | 81.280592 | 1129.433 | 1529.287 | |
| 356.0 | English Bazar | 25.0 | 88.15 | 379.319 | 568.835 | |
| 356.0 | Erode | 11.3428 | 77.72741 | 589.792 | 852.577 | |
| 356.0 | Farrukhabad | 27.39048 | 79.58006 | 313.589 | 437.591 | |
| 356.0 | Firozabad | 27.15 | 78.41667 | 696.185 | 1022.992 | |
| 356.0 | Gaya | 24.78333 | 85.0 | 507.575 | 703.593 | |
| 356.0 | Gorakhpur | 26.759877 | 83.371379 | 723.061 | 969.271 | |
| 356.0 | Gulbarga | 17.3333333 | 76.8333333 | 594.009 | 835.053 | |
| 356.0 | Guntur | 16.3 | 80.45 | 755.76 | 1081.425 | |
| 356.0 | Guwahati (Gauhati) | 26.173547 | 91.750291 | 1042.044 | 1429.977 | |
| 356.0 | Gwalior | 26.22361 | 78.17917 | 1220.768 | 1717.826 | |
| 356.0 | Habra | 22.83444 | 88.6275 | 337.511 | 482.116 | |
| 356.0 | Hardwar | 29.96667 | 78.16667 | 359.395 | 533.923 | |
| 356.0 | Hisar | 29.16667 | 75.71667 | 327.507 | 452.042 | |
| 356.0 | Hosur | 12.716667 | 77.816667 | 352.261 | 678.939 | |
| 356.0 | Hubli-Dharwad | 15.458722 | 75.010582 | 1019.789 | 1405.254 | |
| 356.0 | Hyderabad | 17.37528 | 78.47444 | 8943.523 | 12773.548 | |
| 356.0 | Ichalakaranji | 16.7 | 74.46667 | 344.112 | 470.32 | |
| 356.0 | Imphal | 24.81667 | 93.95 | 517.635 | 821.824 | |
| 356.0 | Indore | 22.71792 | 75.8333 | 2440.756 | 3459.176 | |
| 356.0 | Jabalpur | 23.16697 | 79.95006 | 1336.565 | 1795.307 | |
| 356.0 | Jaipur | 26.91667 | 75.81667 | 3460.701 | 4884.841 | |
| 356.0 | Jalandhar | 31.3255556 | 75.5791667 | 954.435 | 1329.571 | |
| 356.0 | Jalgaon | 21.009222 | 75.564353 | 506.058 | 714.083 | |
| 356.0 | Jalna | 19.83333 | 75.88333 | 309.498 | 433.9 | |
| 356.0 | Jammu | 32.727805 | 74.856879 | 670.973 | 888.519 | |
| 356.0 | Jamnagar | 22.46667 | 70.06667 | 618.642 | 820.709 | |
| 356.0 | Jamshedpur | 22.8 | 86.18333 | 1451.265 | 2000.075 | |
| 356.0 | Jhansi | 25.43333 | 78.58333 | 590.416 | 814.673 | |
| 356.0 | Jodhpur | 26.239232 | 73.015787 | 1284.142 | 1837.176 | |
| 356.0 | Junagadh | 21.51667 | 70.46667 | 354.471 | 505.533 | |
| 356.0 | Kadapa | 14.470955 | 78.824135 | 387.041 | 559.684 | |
| 356.0 | Kakinada | 16.93333 | 82.21667 | 478.691 | 665.533 | |
| 356.0 | Kannur | 11.872888 | 75.371554 | 2152.671 | 3512.758 | |
| 356.0 | Kanpur | 26.46667 | 80.35 | 3020.795 | 3949.751 | |
| 356.0 | Karimnagar | 18.43333 | 79.15 | 344.638 | 509.334 | |
| 356.0 | Kayamkulam | 9.166577 | 76.504332 | 532.776 | 844.334 | |
| 356.0 | Kochi (Cochin) | 9.930693 | 76.260069 | 2416.003 | 3465.39 | |
| 356.0 | Kolhapur | 16.69563 | 74.23167 | 591.239 | 800.154 | |
| 356.0 | Kolkata (Calcutta) | 22.533455 | 88.356045 | 14864.919 | 19092.461 | |
| 356.0 | Kollam | 8.88056 | 76.59167 | 1409.717 | 2246.059 | |
| 356.0 | Korba | 22.35 | 82.68333 | 388.13 | 532.821 | |
| 356.0 | Kota | 25.16645 | 75.856095 | 1163.011 | 1710.339 | |
| 356.0 | Kottayam | 9.58333 | 76.51667 | 420.768 | 633.707 | |
| 356.0 | Kozhikode (Calicut) | 11.25669 | 75.778724 | 2476.192 | 3775.978 | |
| 356.0 | Kurnool | 15.826681 | 78.035199 | 566.963 | 856.928 | |
| 356.0 | Latur | 18.4 | 76.58333 | 424.573 | 605.464 | |
| 356.0 | Lucknow | 26.85 | 80.91667 | 3221.817 | 4493.175 | |
| 356.0 | Ludhiana | 30.9 | 75.85 | 1715.979 | 2316.065 | |
| 356.0 | Madurai | 9.93333 | 78.11667 | 1593.148 | 2200.77 | |
| 356.0 | Malappuram | 11.06667 | 76.06667 | 2215.874 | 3599.958 | |
| 356.0 | Malegaon | 20.55 | 74.53333 | 667.009 | 983.841 | |
| 356.0 | Mangalore | 12.91723 | 74.85603 | 657.355 | 895.161 | |
| 356.0 | Mathura | 27.5 | 77.68333 | 529.052 | 786.02 | |
| 356.0 | Maunath Bhanjan | 25.947485 | 83.558986 | 314.883 | 457.731 | |
| 356.0 | Meerut | 28.97155 | 77.71934 | 1550.35 | 2139.862 | |
| 356.0 | Moradabad | 28.83333 | 78.78333 | 1022.989 | 1492.586 | |
| 356.0 | Mumbai (Bombay) | 19.073975 | 72.880838 | 21042.538 | 27796.555 | |
| 356.0 | Muzaffarnagar | 29.46667 | 77.68333 | 587.023 | 887.303 | |
| 356.0 | Muzaffarpur | 26.11667 | 85.4 | 438.546 | 627.538 | |
| 356.0 | Mysore | 12.29791 | 76.63925 | 1082.304 | 1515.231 | |
| 356.0 | Nagpur | 21.15 | 79.1 | 2675.072 | 3616.214 | |
| 356.0 | Nanded Waghala | 19.161775 | 77.313728 | 611.119 | 868.384 | |
| 356.0 | Nashik | 19.98333 | 73.8 | 1779.212 | 2556.422 | |
| 356.0 | Navsari | 20.948507 | 72.930834 | 307.23 | 431.465 | |
| 356.0 | Nellore | 14.44625 | 79.9842 | 649.717 | 954.45 | |
| 356.0 | Nizamabad | 18.67154 | 78.0988 | 320.77 | 429.843 | |
| 356.0 | Palakkad | 10.7725 | 76.65139 | 325.687 | 465.926 | |
| 356.0 | Panipat | 29.38889 | 76.96806 | 486.087 | 686.248 | |
| 356.0 | Parbhani | 19.26667 | 76.78333 | 330.069 | 458.408 | |
| 356.0 | Patiala | 30.32667 | 76.40028 | 510.152 | 748.035 | |
| 356.0 | Patna | 25.6 | 85.11667 | 2209.547 | 3015.626 | |
| 356.0 | Puducherry | 11.93 | 79.83 | 730.11 | 1040.261 | |
| 356.0 | Pune (Poona) | 18.516057 | 73.861578 | 5727.53 | 8091.387 | |
| 356.0 | Purnia | 25.78333 | 87.46667 | 377.81 | 586.936 | |
| 356.0 | Raipur | 21.23333 | 81.63333 | 1373.898 | 2116.316 | |
| 356.0 | Rajahmundry | 17.003789 | 81.789447 | 511.15 | 702.972 | |
| 356.0 | Rajkot | 22.3 | 70.78333 | 1599.232 | 2321.576 | |
| 356.0 | Rampur | 28.806232 | 79.027699 | 382.367 | 539.653 | |
| 356.0 | Ranchi | 23.35 | 85.33333 | 1262.011 | 1793.27 | |
| 356.0 | Ranipet | 12.93148 | 79.332312 | 357.852 | 618.581 | |
| 356.0 | Raurkela | 22.224891 | 84.86175 | 584.686 | 794.871 | |
| 356.0 | Rohtak | 28.9 | 76.5666667 | 412.544 | 586.729 | |
| 356.0 | Roorkee | 29.8666666667 | 77.88333333 | 396.581 | 724.367 | |
| 356.0 | Sagar | 23.840472 | 78.738458 | 399.658 | 556.127 | |
| 356.0 | Saharanpur | 29.96667 | 77.55 | 848.65 | 1297.351 | |
| 356.0 | Salem | 11.65 | 78.16667 | 1002.68 | 1394.227 | |
| 356.0 | Sangali | 16.85438 | 74.56417 | 544.585 | 742.529 | |
| 356.0 | Santipur | 23.24722 | 88.43302 | 395.703 | 686.223 | |
| 356.0 | Satna | 24.58333 | 80.83333 | 309.397 | 436.938 | |
| 356.0 | Shahjahanpur | 27.88333 | 79.91667 | 356.028 | 474.605 | |
| 356.0 | Shillong | 25.56892 | 91.88313 | 399.073 | 577.555 | |
| 356.0 | Shimoga | 13.93157 | 75.56791 | 345.313 | 477.895 | |
| 356.0 | Siliguri | 26.71611 | 88.42361 | 831.913 | 1251.975 | |
| 356.0 | Solapur | 17.68333 | 75.91667 | 985.568 | 1307.324 | |
| 356.0 | Srinagar | 34.083658 | 74.797363 | 1428.526 | 2030.072 | |
| 356.0 | Surat | 21.16667 | 72.83333 | 5650.011 | 8616.41 | |
| 356.0 | Thanjavur | 10.8 | 79.15 | 330.083 | 482.308 | |
| 356.0 | Thiruvananthapuram | 8.50694 | 76.95694 | 1964.59 | 2878.291 | |
| 356.0 | Thoothukkudi (Tuticorin) | 8.809046 | 78.136911 | 514.146 | 817.696 | |
| 356.0 | Thrissur | 10.51667 | 76.21667 | 2329.122 | 3651.403 | |
| 356.0 | Tiruchirappalli | 10.805 | 78.68556 | 1105.99 | 1525.26 | |
| 356.0 | Tirunelveli | 8.73333 | 77.7 | 530.429 | 725.477 | |
| 356.0 | Tirupati | 13.65 | 79.41667 | 549.902 | 837.673 | |
| 356.0 | Tiruppur | 11.11541 | 77.35456 | 1230.309 | 1974.088 | |
| 356.0 | Tumkur | 13.34222 | 77.10167 | 333.886 | 470.518 | |
| 356.0 | Udaipur | 24.566108 | 73.691075 | 516.984 | 722.617 | |
| 356.0 | Ujjain | 23.18333 | 75.76667 | 555.782 | 770.088 | |
| 356.0 | Vadodara | 22.3 | 73.2 | 1975.092 | 2715.918 | |
| 356.0 | Varanasi (Benares) | 25.316426 | 82.982198 | 1541.367 | 2102.385 | |
| 356.0 | Vellore | 12.93333 | 79.13333 | 528.26 | 743.2 | |
| 356.0 | Vijayawada | 16.51667 | 80.61667 | 1759.772 | 2613.799 | |
| 356.0 | Visakhapatnam | 17.681874 | 83.209685 | 1935.252 | 2732.823 | |
| 356.0 | Warangal | 18.0 | 79.58333 | 853.639 | 1222.206 | |
| 356.0 | Yamunanagar | 30.1 | 77.28333 | 421.381 | 595.995 | |
| 360.0 | Ambon | -3.69543 | 128.1814 | 425.228 | 679.174 | |
| 360.0 | Balikpapan | -1.26753 | 116.82887 | 655.425 | 972.871 | |
| 360.0 | Bandar Lampung | -5.4254 | 105.258 | 965.241 | 1349.615 | |
| 360.0 | Bandung | -6.919393 | 107.608456 | 2543.742 | 3433.165 | |
| 360.0 | Banjarmasin | -3.32442 | 114.591 | 682.12 | 955.166 | |
| 360.0 | Batam | 1.119078 | 104.031275 | 1390.546 | 2485.897 | |
| 360.0 | Bengkulu | -3.800278 | 102.265278 | 323.995 | 444.79 | |
| 360.0 | Bogor | -6.606481 | 106.801891 | 1075.563 | 1540.953 | |
| 360.0 | Cirebon | -6.7063 | 108.557 | 309.993 | 424.495 | |
| 360.0 | Denpasar | -8.65 | 115.21667 | 1106.593 | 1870.432 | |
| 360.0 | Jakarta | -6.211831 | 106.841646 | 10323.142 | 13811.975 | |
| 360.0 | Jambi | -1.6 | 103.61667 | 604.088 | 874.154 | |
| 360.0 | Makassar (Ujung Pandang) | -5.144396 | 119.423639 | 1488.63 | 2104.278 | |
| 360.0 | Malang | -7.9797 | 112.6304 | 856.09 | 1155.595 | |
| 360.0 | Manado | 1.487 | 124.8455 | 426.425 | 578.578 | |
| 360.0 | Mataram | -8.58333 | 116.11667 | 456.8 | 662.498 | |
| 360.0 | Medan | 3.58333 | 98.66667 | 2204.005 | 2955.229 | |
| 360.0 | Padang | -0.94924 | 100.35427 | 903.224 | 1254.107 | |
| 360.0 | Palembang | -2.91673 | 104.7458 | 1455.256 | 1888.054 | |
| 360.0 | Pekan Baru | 0.53333 | 101.45 | 1120.893 | 1731.216 | |
| 360.0 | Pontianak | -0.03333 | 109.33333 | 603.35 | 844.387 | |
| 360.0 | Samarinda | -0.5 | 117.15 | 865.034 | 1290.906 | |
| 360.0 | Semarang | -6.9932 | 110.4203 | 1629.599 | 2187.839 | |
| 360.0 | Sukabumi | -6.91806 | 106.92667 | 326.294 | 461.769 | |
| 360.0 | Surabaya | -7.288838 | 112.741078 | 2853.237 | 3760.157 | |
| 360.0 | Surakarta | -7.55611 | 110.83167 | 504.211 | 667.908 | |
| 360.0 | Tasikmalaya | -7.327905 | 108.216618 | 786.81 | 1304.627 | |
| 360.0 | Yogyakarta | -7.78278 | 110.36083 | 384.59 | 503.306 | |
| 364.0 | Ahvaz | 31.3203 | 48.6693 | 1215.782 | 1574.538 | |
| 364.0 | Arak | 34.09174 | 49.68916 | 514.08 | 653.292 | |
| 364.0 | Ardabil | 38.2498 | 48.2933 | 536.435 | 715.897 | |
| 364.0 | Bandar Abbas | 27.1865 | 56.2808 | 482.769 | 643.045 | |
| 364.0 | Esfahan | 32.65722 | 51.67761 | 1879.806 | 2364.039 | |
| 364.0 | Eslamshahr | 35.562618 | 51.235883 | 414.472 | 530.298 | |
| 364.0 | Gorgan | 36.84165 | 54.44361 | 377.106 | 522.122 | |
| 364.0 | Hamadan | 34.79922 | 48.51456 | 562.889 | 720.81 | |
| 364.0 | Karaj | 35.8355 | 51.0103 | 1807.058 | 2386.12 | |
| 364.0 | Kerman | 30.28321 | 57.07879 | 549.565 | 673.994 | |
| 364.0 | Kermanshah | 34.31417 | 47.065 | 896.144 | 1118.922 | |
| 364.0 | Khorramabad | 33.48778 | 48.35583 | 359.391 | 445.329 | |
| 364.0 | Malard | 35.665833 | 50.976667 | 347.041 | 503.401 | |
| 364.0 | Mashhad | 36.297 | 59.6062 | 3014.424 | 3863.264 | |
| 364.0 | Orumiyeh | 37.55274 | 45.07605 | 737.446 | 973.127 | |
| 364.0 | Qazvin | 36.26877 | 50.0041 | 402.421 | 509.546 | |
| 364.0 | Qods | 35.713011 | 51.105508 | 330.581 | 467.996 | |
| 364.0 | Qom | 34.6401 | 50.8764 | 1204.115 | 1568.087 | |
| 364.0 | Rasht | 37.28077 | 49.58319 | 708.7 | 938.166 | |
| 364.0 | Sanandaj | 35.3144 | 46.9923 | 422.618 | 576.238 | |
| 364.0 | Sari | 36.56332 | 53.06009 | 325.393 | 431.66 | |
| 364.0 | Shiraz | 29.6036 | 52.5388 | 1660.545 | 2232.92 | |
| 364.0 | Tabriz | 38.08 | 46.2919 | 1571.582 | 1943.276 | |
| 364.0 | Tehran | 35.69439 | 51.42151 | 8432.196 | 9989.806 | |
| 364.0 | Yazd | 31.89722 | 54.3675 | 530.362 | 693.775 | |
| 364.0 | Zahedan | 29.4963 | 60.8629 | 556.385 | 656.406 | |
| 364.0 | Zanjan | 36.6736 | 48.4787 | 416.901 | 540.121 | |
| 368.0 | Al-Basrah (Basra) | 30.49721 | 47.81491 | 1019.109 | 1490.779 | |
| 368.0 | Al-Mawsil (Mosul) | 36.335 | 43.1188889 | 1694.284 | 2585.541 | |
| 368.0 | Amara | 31.834419 | 47.152446 | 442.856 | 667.092 | |
| 368.0 | Baaqoobah | 33.75 | 44.6411111 | 424.776 | 665.542 | |
| 368.0 | Baghdad | 33.34058 | 44.40088 | 6642.848 | 9710.309 | |
| 368.0 | Diwaniyah | 31.99051 | 44.93063 | 404.85 | 615.204 | |
| 368.0 | Faloojah | 33.35581 | 43.78612 | 322.781 | 511.661 | |
| 368.0 | Hillah | 32.4825 | 44.4313889 | 506.935 | 787.6 | |
| 368.0 | Irbil (Erbil) | 36.19257 | 44.01062 | 1165.714 | 1765.909 | |
| 368.0 | Karbala | 32.5983333 | 44.0238889 | 687.834 | 1095.617 | |
| 368.0 | Kirkuk | 35.4680556 | 44.3922222 | 649.965 | 944.706 | |
| 368.0 | Kut | 32.5 | 45.8333333 | 364.488 | 561.494 | |
| 368.0 | Najaf | 31.997314 | 44.331352 | 888.93 | 1372.694 | |
| 368.0 | Nasiriyah | 31.0333333 | 46.2666667 | 577.123 | 886.558 | |
| 368.0 | Ramadi | 33.4166667 | 43.3 | 369.514 | 584.982 | |
| 368.0 | Sulaimaniya | 35.5616667 | 45.4408333 | 1003.782 | 1570.668 | |
| 372.0 | Dublin | 53.33306 | -6.24889 | 1169.371 | 1467.33 | |
| 376.0 | Be'er Sheva | 31.25181 | 34.7913 | 594.462 | 733.159 | |
| 376.0 | Hefa (Haifa) | 32.813261 | 34.991355 | 1096.669 | 1313.527 | |
| 376.0 | Jerusalem | 31.76904 | 35.21633 | 839.077 | 1032.756 | |
| 376.0 | Tel Aviv-Yafo (Tel Aviv-Jaffa) | 32.08088 | 34.78057 | 3608.265 | 4381.544 | |
| 380.0 | Bari | 41.11773 | 16.85118 | 618.245 | 648.233 | |
| 380.0 | Barletta | 41.31183 | 16.29077 | 338.784 | 359.475 | |
| 380.0 | Bergamo | 45.69798 | 9.66895 | 839.584 | 913.757 | |
| 380.0 | Bologna | 44.49381 | 11.33875 | 784.17 | 832.084 | |
| 380.0 | Brescia | 45.52478 | 10.22727 | 463.072 | 503.218 | |
| 380.0 | Busto Arsizio | 45.61128 | 8.84914 | 630.203 | 677.085 | |
| 380.0 | Cagliari | 39.20738 | 9.13462 | 472.758 | 498.659 | |
| 380.0 | Caserta | 41.08322 | 14.33493 | 419.814 | 448.06 | |
| 380.0 | Catania | 37.50213 | 15.08719 | 582.168 | 610.991 | |
| 380.0 | Como | 45.80998 | 9.08744 | 461.223 | 500.367 | |
| 380.0 | Florence | 43.76667 | 11.25 | 700.76 | 735.339 | |
| 380.0 | Genova (Genoa) | 44.40632 | 8.93386 | 691.698 | 709.617 | |
| 380.0 | Latina | 41.46614 | 12.9043 | 417.682 | 465.201 | |
| 380.0 | Milano (Milan) | 45.55307 | 9.18344 | 3098.974 | 3162.442 | |
| 380.0 | Modena | 44.64783 | 10.92539 | 341.97 | 372.579 | |
| 380.0 | Napoli (Naples) | 40.850178 | 14.259213 | 2201.789 | 2226.219 | |
| 380.0 | Nola | 40.92201 | 14.53294 | 317.7 | 342.286 | |
| 380.0 | Padova | 45.41519 | 11.88181 | 655.466 | 706.265 | |
| 380.0 | Palermo | 38.11582 | 13.35976 | 853.369 | 882.388 | |
| 380.0 | Parma | 44.80266 | 10.32898 | 314.188 | 343.976 | |
| 380.0 | Pescara | 42.46024 | 14.21021 | 364.857 | 394.935 | |
| 380.0 | Reggio Emilia | 44.69825 | 10.63125 | 343.803 | 382.109 | |
| 380.0 | Roma (Rome) | 41.894743 | 12.481142 | 3717.956 | 3842.156 | |
| 380.0 | Salerno | 40.67797 | 14.76599 | 413.837 | 439.841 | |
| 380.0 | Seregno | 45.65238 | 9.20034 | 587.68 | 640.408 | |
| 380.0 | Taranto | 40.4625 | 17.25972 | 458.862 | 482.589 | |
| 380.0 | Torino (Turin) | 45.068672 | 7.677218 | 1764.868 | 1824.619 | |
| 380.0 | Treviso | 45.66667 | 12.245 | 352.55 | 389.641 | |
| 380.0 | Venezia | 45.43565 | 12.339589 | 628.04 | 662.486 | |
| 380.0 | Verona | 45.43419 | 10.99779 | 605.55 | 651.947 | |
| 380.0 | Vicenza | 45.55729 | 11.5409 | 313.447 | 342.33 | |
| 388.0 | Kingston | 17.99702 | -76.79358 | 587.652 | 664.307 | |
| 392.0 | Asahikawa | 43.76778 | 142.37028 | 312.693 | 319.689 | |
| 392.0 | Chukyo M.M.A. (Nagoya) | 35.18147 | 136.90641 | 9406.264 | 9304.101 | |
| 392.0 | Hiroshima | 34.392823 | 132.460534 | 2173.249 | 2213.23 | |
| 392.0 | Kagoshima | 31.570982 | 130.548469 | 490.109 | 505.796 | |
| 392.0 | Kanazawa | 36.556368 | 136.642985 | 387.318 | 410.246 | |
| 392.0 | Kinki M.M.A. (Osaka) | 34.675834 | 135.553823 | 20237.645 | 19975.677 | |
| 392.0 | Kitakyushu-Fukuoka M.M.A. | 33.6064 | 130.4181 | 5510.478 | 5354.751 | |
| 392.0 | Kumamoto | 32.78972 | 130.74167 | 600.958 | 636.142 | |
| 392.0 | Matsuyama | 33.83239 | 132.75951 | 436.806 | 459.153 | |
| 392.0 | Nagasaki | 32.750214 | 129.876176 | 316.029 | 319.192 | |
| 392.0 | Naha | 26.21219 | 127.687286 | 321.102 | 339.65 | |
| 392.0 | Niigata | 37.913894 | 139.032723 | 586.406 | 605.032 | |
| 392.0 | Oita | 33.236487 | 131.609909 | 333.989 | 353.922 | |
| 392.0 | Okayama | 34.650668 | 133.913478 | 501.995 | 538.043 | |
| 392.0 | Sapporo | 43.06417 | 141.34694 | 2571.497 | 2541.854 | |
| 392.0 | Sendai | 38.256047 | 140.897639 | 2090.856 | 2012.219 | |
| 392.0 | Shizuoka-Hamamatsu M.M.A. | 34.9769 | 138.3831 | 3368.988 | 3933.539 | |
| 392.0 | Tokyo | 35.6895 | 139.69171 | 38001.018 | 37190.489 | |
| 392.0 | Utsunomiya | 36.56583 | 139.88361 | 391.166 | 411.168 | |
| 400.0 | Amman | 31.95522 | 35.94503 | 1154.67 | 1355.224 | |
| 400.0 | Ar-Rusayfah | 32.01555556 | 36.0427777778 | 394.553 | 557.03 | |
| 400.0 | Irbid | 32.55556 | 35.85 | 305.925 | 380.961 | |
| 400.0 | Zarqa | 32.068265 | 36.088935 | 449.007 | 541.579 | |
| 398.0 | Aktyubinsk | 50.285462 | 57.162773 | 416.494 | 507.78 | |
| 398.0 | Almaty | 43.247189 | 76.910127 | 1522.637 | 1730.429 | |
| 398.0 | Astana | 51.1801 | 71.44598 | 758.961 | 931.715 | |
| 398.0 | Karaganda | 49.801088 | 73.095428 | 495.625 | 562.04 | |
| 398.0 | Pavlodar | 52.3 | 76.95 | 355.825 | 415.914 | |
| 398.0 | Semipalatinsk | 50.42675 | 80.26669 | 337.54 | 396.308 | |
| 398.0 | Shimkent | 42.3 | 69.6 | 746.303 | 915.755 | |
| 398.0 | Taraz | 42.9 | 71.36667 | 308.855 | 329.089 | |
| 398.0 | Ust-Kamenogorsk | 49.96466 | 82.60898 | 312.245 | 346.446 | |
| 404.0 | Eldoret | 0.52036 | 35.26992 | 320.774 | 597.521 | |
| 404.0 | Mombasa | -4.05466 | 39.66359 | 1103.703 | 1973.488 | |
| 404.0 | Nairobi | -1.28333 | 36.81667 | 3914.791 | 7140.32 | |
| 404.0 | Nakuru | -0.28333 | 36.06667 | 335.057 | 589.065 | |
| 414.0 | Al Kuwayt (Kuwait City) | 29.353429 | 47.982244 | 2778.724 | 3914.503 | |
| 417.0 | Bishkek | 42.87 | 74.59 | 865.193 | 1172.83 | |
| 418.0 | Vientiane | 17.96667 | 102.6 | 996.566 | 1781.961 | |
| 428.0 | Riga | 56.946 | 24.10589 | 620.847 | 506.023 | |
| 422.0 | Bayrut (Beirut) | 33.9 | 35.48333 | 2226.478 | 2437.488 | |
| 430.0 | Monrovia | 6.30054 | -10.7969 | 1263.8 | 2032.297 | |
| 434.0 | Banghazi | 32.11667 | 20.06667 | 745.625 | 937.013 | |
| 434.0 | Misratah | 32.37535 | 15.09254 | 671.899 | 971.227 | |
| 434.0 | Tarabulus (Tripoli) | 32.87519 | 13.18746 | 1126.145 | 1333.405 | |
| 440.0 | Vilnius | 54.68916 | 25.2798 | 516.765 | 491.169 | |
| 450.0 | Antananarivo | -18.91368 | 47.53613 | 2609.744 | 5072.578 | |
| 450.0 | Toamasina | -18.16667 | 49.38333 | 326.792 | 653.959 | |
| 454.0 | Blantyre-Limbe | -15.78499 | 35.00854 | 808.045 | 1472.575 | |
| 454.0 | Lilongwe | -13.96692 | 33.78725 | 905.433 | 1748.403 | |
| 458.0 | Ipoh | 4.583333 | 101.0833 | 736.704 | 998.24 | |
| 458.0 | Johor Bahru | 1.4655 | 103.7578 | 911.562 | 1248.737 | |
| 458.0 | Kota Bharu | 6.133333 | 102.25 | 322.144 | 433.195 | |
| 458.0 | Kota Kinabalu | 5.978172 | 116.116577 | 477.647 | 672.919 | |
| 458.0 | Kuala Lumpur | 3.1412 | 101.68653 | 6836.911 | 9422.889 | |
| 458.0 | Kuala Terengganu | 5.3302 | 103.1408 | 348.708 | 476.487 | |
| 458.0 | Kuantan | 3.8077 | 103.326 | 440.04 | 617.19 | |
| 458.0 | Kuching | 1.55 | 110.33333 | 559.999 | 754.735 | |
| 458.0 | Sandakan | 5.8402 | 118.1179 | 349.263 | 467.455 | |
| 458.0 | Seremban | 2.7297 | 101.9381 | 422.037 | 584.706 | |
| 466.0 | Bamako | 12.65 | -8.0 | 2515.0 | 5231.087 | |
| 478.0 | Nouakchott | 18.08581 | -15.9785 | 967.54 | 1432.137 | |
| 484.0 | Acapulco de Juárez | 16.86336 | -99.8901 | 900.334 | 1074.991 | |
| 484.0 | Aguascalientes | 21.88333 | -102.3 | 1031.465 | 1287.006 | |
| 484.0 | Cancún | 21.17429 | -86.84656 | 844.705 | 1161.004 | |
| 484.0 | Celaya | 20.51667 | -100.81667 | 661.189 | 826.137 | |
| 484.0 | Chihuahua | 28.63333 | -106.08333 | 940.639 | 1172.964 | |
| 484.0 | Ciudad de México (Mexico City) | 19.427318 | -99.141869 | 20998.543 | 23864.706 | |
| 484.0 | Ciudad Juárez | 31.73333 | -106.48333 | 1390.387 | 1649.881 | |
| 484.0 | Ciudad Obregón | 27.48333 | -109.93333 | 331.801 | 422.983 | |
| 484.0 | Ciudad Victoria | 23.73333 | -99.13333 | 337.009 | 427.489 | |
| 484.0 | Coatzacoalcos | 18.15 | -94.41667 | 368.195 | 451.781 | |
| 484.0 | Colima | 19.23333 | -103.71667 | 367.081 | 462.983 | |
| 484.0 | Córdoba | 18.88333 | -96.93333 | 337.159 | 416.28 | |
| 484.0 | Cuautla Morelos | 18.8 | -98.95 | 467.806 | 579.067 | |
| 484.0 | Cuernavaca | 18.91667 | -99.25 | 993.161 | 1211.368 | |
| 484.0 | Culiacán | 24.79944 | -107.38972 | 761.574 | 968.769 | |
| 484.0 | Durango | 24.03333 | -104.66667 | 585.661 | 749.212 | |
| 484.0 | Guadalajara | 20.66667 | -103.33333 | 4843.241 | 5836.861 | |
| 484.0 | Hermosillo | 29.084507 | -110.967187 | 804.073 | 1020.185 | |
| 484.0 | Irapuato | 20.6784 | -101.3465 | 427.482 | 546.986 | |
| 484.0 | León de los Aldamas | 21.123373 | -101.680486 | 1806.862 | 2260.192 | |
| 484.0 | Matamoros | 25.53333 | -103.25 | 527.929 | 653.014 | |
| 484.0 | Mazatlán | 23.240665 | -106.414306 | 415.833 | 520.264 | |
| 484.0 | Mérida | 20.96667 | -89.61667 | 1067.71 | 1323.032 | |
| 484.0 | Mexicali | 32.65194 | -115.46833 | 1034.138 | 1288.094 | |
| 484.0 | Minatitlán | 18.0013 | -94.5581 | 373.122 | 453.474 | |
| 484.0 | Monclova | 26.9 | -101.41667 | 335.471 | 411.306 | |
| 484.0 | Monterrey | 25.66667 | -100.31667 | 4512.572 | 5471.43 | |
| 484.0 | Morelia | 19.70078 | -101.18443 | 914.484 | 1140.007 | |
| 484.0 | Nuevo Laredo | 27.47629 | -99.51639 | 425.622 | 539.374 | |
| 484.0 | Oaxaca de Juárez | 17.05 | -96.71667 | 667.784 | 834.339 | |
| 484.0 | Orizaba | 18.85 | -97.1 | 451.432 | 550.457 | |
| 484.0 | Pachuca de Soto | 20.11697 | -98.73329 | 596.328 | 781.14 | |
| 484.0 | Poza Rica de Hidalgo | 20.53315 | -97.45946 | 537.45 | 648.878 | |
| 484.0 | Puebla | 19.041532 | -98.204962 | 2984.048 | 3627.886 | |
| 484.0 | Puerto Vallarta | 20.62041 | -105.23066 | 471.121 | 650.773 | |
| 484.0 | Querétaro | 20.6 | -100.38333 | 1266.956 | 1629.5 | |
| 484.0 | Reynosa | 26.08333 | -98.28333 | 852.658 | 1116.778 | |
| 484.0 | Saltillo | 25.41667 | -101.0 | 932.446 | 1187.094 | |
| 484.0 | San Luis Potosí | 22.15 | -100.98333 | 1147.41 | 1425.741 | |
| 484.0 | Tampico | 22.21667 | -97.85 | 920.213 | 1121.312 | |
| 484.0 | Tehuacán | 18.45 | -97.38333 | 328.967 | 418.516 | |
| 484.0 | Tepic | 21.5 | -104.9 | 479.075 | 609.178 | |
| 484.0 | Tijuana | 32.53333 | -117.01667 | 1986.787 | 2501.785 | |
| 484.0 | Tlaxcala | 19.31389 | -98.24167 | 551.027 | 692.838 | |
| 484.0 | Toluca de Lerdo | 19.283896 | -99.657254 | 2164.006 | 2689.928 | |
| 484.0 | Torreón | 25.539231 | -103.461434 | 1332.257 | 1643.256 | |
| 484.0 | Tuxtla Gutierrez | 16.75 | -93.11667 | 779.512 | 999.736 | |
| 484.0 | Veracruz | 19.2 | -96.13333 | 879.634 | 1082.789 | |
| 484.0 | Villahermosa | 17.98333 | -92.91667 | 844.693 | 1066.184 | |
| 484.0 | Xalapa | 19.537714 | -96.913656 | 728.604 | 905.654 | |
| 484.0 | Zacatecas | 22.77559 | -102.57218 | 348.689 | 448.818 | |
| 496.0 | Ulaanbaatar | 47.90771 | 106.88324 | 1377.308 | 1849.598 | |
| 504.0 | Agadir | 30.424847 | -9.593695 | 590.422 | 696.256 | |
| 504.0 | Dar-el-Beida (Casablanca) | 33.59278 | -7.61916 | 3514.958 | 4361.033 | |
| 504.0 | Fès | 34.03715 | -4.9998 | 1172.112 | 1558.832 | |
| 504.0 | Kénitra | 34.26101 | -6.5802 | 448.4 | 605.696 | |
| 504.0 | Marrakech | 31.63148 | -8.00828 | 1133.609 | 1571.539 | |
| 504.0 | Meknès | 33.89352 | -5.54727 | 716.339 | 985.392 | |
| 504.0 | Oujda | 34.68052 | -1.90764 | 495.099 | 665.29 | |
| 504.0 | Rabat | 34.01325 | -6.83255 | 1966.802 | 2574.491 | |
| 504.0 | Safi | 32.29939 | -9.23718 | 311.497 | 402.96 | |
| 504.0 | Tanger | 35.784722 | -5.812778 | 981.753 | 1391.041 | |
| 504.0 | Tétouan | 35.57109 | -5.37242 | 510.942 | 753.26 | |
| 508.0 | Beira | -19.84361 | 34.83889 | 447.853 | 702.109 | |
| 508.0 | Maputo | -25.96528 | 32.58917 | 1187.214 | 1893.44 | |
| 508.0 | Matola | -25.96222 | 32.45889 | 937.176 | 1699.654 | |
| 508.0 | Nampula | -15.11646 | 39.2666 | 649.633 | 1172.584 | |
| 104.0 | Bago | 17.33667 | 96.47972 | 517.779 | 783.413 | |
| 104.0 | Mandalay | 21.97473 | 96.08359 | 1166.906 | 1653.849 | |
| 104.0 | Mawlamyine | 16.49051 | 97.62825 | 486.561 | 697.893 | |
| 104.0 | Monywa | 22.11667 | 95.13333 | 478.083 | 747.804 | |
| 104.0 | Nay Pyi Taw | 19.745 | 96.12972 | 1029.712 | 1398.12 | |
| 104.0 | Yangon | 16.80528 | 96.15611 | 4801.93 | 6578.163 | |
| 516.0 | Windhoek | -22.55941 | 17.08323 | 367.987 | 582.252 | |
| 524.0 | Kathmandu | 27.70169 | 85.3206 | 1182.598 | 1854.781 | |
| 524.0 | Pokhara | 28.233333 | 83.983333 | 329.424 | 549.238 | |
| 528.0 | Amsterdam | 52.37403 | 4.88969 | 1090.772 | 1212.63 | |
| 528.0 | Eindhoven | 51.44083 | 5.47778 | 334.79 | 377.425 | |
| 528.0 | Rotterdam | 51.9225 | 4.47917 | 993.336 | 1076.647 | |
| 528.0 | s-Gravenhage (The Hague) | 52.0767 | 4.2986 | 649.675 | 724.666 | |
| 528.0 | Utrecht | 52.09083 | 5.12222 | 479.665 | 560.465 | |
| 554.0 | Auckland | -36.86667 | 174.76667 | 1344.304 | 1573.705 | |
| 554.0 | Christchurch | -43.53333 | 172.63333 | 351.214 | 397.598 | |
| 554.0 | Wellington | -41.28664 | 174.77557 | 382.943 | 449.107 | |
| 558.0 | Managua | 12.13282 | -86.2504 | 956.233 | 1231.508 | |
| 562.0 | Niamey | 13.51366 | 2.1098 | 1089.589 | 2363.23 | |
| 562.0 | Zinder | 13.80716 | 8.9881 | 370.261 | 887.143 | |
| 566.0 | Aba | 5.10658 | 7.36667 | 944.045 | 1675.276 | |
| 566.0 | Abakaliki | 6.31625 | 8.11691 | 438.68 | 867.274 | |
| 566.0 | Abeokuta | 7.15 | 3.35 | 494.705 | 836.846 | |
| 566.0 | Abuja | 9.05735 | 7.48976 | 2440.242 | 4912.792 | |
| 566.0 | Ado-Ekiti | 7.621 | 5.2215 | 402.044 | 739.62 | |
| 566.0 | Akure | 7.25256 | 5.19312 | 556.29 | 1024.506 | |
| 566.0 | Bauchi | 10.31344 | 9.84327 | 496.246 | 919.281 | |
| 566.0 | Benin City | 6.33504 | 5.62749 | 1495.763 | 2667.293 | |
| 566.0 | Calabar | 4.9517 | 8.322 | 466.815 | 886.213 | |
| 566.0 | Effon Alaiye | 7.65 | 4.91667 | 328.576 | 594.253 | |
| 566.0 | Enugu | 6.4402 | 7.4943 | 680.703 | 1200.584 | |
| 566.0 | Gboko | 7.326835 | 9.003405 | 380.562 | 684.777 | |
| 566.0 | Gombe | 10.28969 | 11.16729 | 417.107 | 780.92 | |
| 566.0 | Ibadan | 7.38778 | 3.89639 | 3160.19 | 5498.728 | |
| 566.0 | Ife | 7.477328 | 4.558853 | 331.012 | 583.303 | |
| 566.0 | Igbidu | 6.068322 | 8.116942 | 402.336 | 705.546 | |
| 566.0 | Ikorodu | 6.608716 | 3.510823 | 706.133 | 1414.429 | |
| 566.0 | Ilorin | 8.5 | 4.55 | 856.914 | 1480.967 | |
| 566.0 | Jos | 9.91667 | 8.9 | 810.09 | 1396.918 | |
| 566.0 | Kaduna | 10.52224 | 7.43828 | 1047.815 | 1748.217 | |
| 566.0 | Kano | 12.00012 | 8.51672 | 3587.049 | 6197.56 | |
| 566.0 | Katsina | 12.98943 | 7.60063 | 394.812 | 724.498 | |
| 566.0 | Lagos | 6.45306 | 3.39583 | 13122.829 | 24239.435 | |
| 566.0 | Lokoja | 7.80236 | 6.743 | 472.75 | 1026.582 | |
| 566.0 | Maiduguri | 11.84644 | 13.16027 | 727.525 | 1232.676 | |
| 566.0 | Makurdi | 7.7411 | 8.5121 | 342.456 | 628.687 | |
| 566.0 | Minna | 9.61389 | 6.55694 | 384.982 | 694.061 | |
| 566.0 | Nnewi | 6.01986 | 6.91478 | 769.502 | 1576.494 | |
| 566.0 | Ogbomosho | 8.132406 | 4.243307 | 439.483 | 842.111 | |
| 566.0 | Okene | 7.550727 | 6.233654 | 407.106 | 722.282 | |
| 566.0 | Okpogho | 6.440393 | 7.284425 | 342.791 | 669.453 | |
| 566.0 | Ondo | 7.1 | 4.83333 | 376.974 | 671.568 | |
| 566.0 | Onitsha | 6.14543 | 6.78845 | 1109.287 | 2146.972 | |
| 566.0 | Oshogbo | 7.76667 | 4.56667 | 649.584 | 1115.63 | |
| 566.0 | Owerri | 5.48333 | 7.03041 | 715.784 | 1337.422 | |
| 566.0 | Oyo | 7.85 | 3.93333 | 370.948 | 663.731 | |
| 566.0 | Port Harcourt | 4.77742 | 7.0134 | 2343.309 | 4562.459 | |
| 566.0 | Sokoto | 13.06092 | 5.23902 | 552.352 | 992.718 | |
| 566.0 | Umuahia | 5.52627 | 7.48959 | 579.844 | 1167.027 | |
| 566.0 | Uyo | 5.05127 | 7.9335 | 847.483 | 1709.299 | |
| 566.0 | Warri | 5.51667 | 5.75 | 663.005 | 1298.281 | |
| 566.0 | Zaria | 11.11128 | 7.7227 | 702.79 | 1147.924 | |
| 578.0 | Oslo | 59.91273 | 10.74609 | 986.093 | 1186.066 | |
| 512.0 | Masqat (Muscat) | 23.61387 | 58.5922 | 838.019 | 1123.921 | |
| 586.0 | Bahawalpur | 29.4 | 71.68333 | 913.008 | 1480.163 | |
| 586.0 | Dera Ghazikhan | 30.05 | 70.6333333 | 349.832 | 547.193 | |
| 586.0 | Faisalabad | 31.4166667 | 73.0833333 | 3566.952 | 5418.561 | |
| 586.0 | Gujranwala | 32.15 | 74.1833333 | 2122.254 | 3273.549 | |
| 586.0 | Gujrat | 32.5666667 | 74.0833333 | 405.788 | 614.324 | |
| 586.0 | Hyderabad | 25.3666667 | 68.3666667 | 1772.143 | 2613.469 | |
| 586.0 | Islamabad | 33.70351 | 73.059373 | 1364.531 | 2275.111 | |
| 586.0 | Jhang | 31.267026 | 72.312594 | 438.572 | 651.734 | |
| 586.0 | Karachi | 24.9056 | 67.0822 | 16617.644 | 24837.881 | |
| 586.0 | Kasur | 31.115 | 74.4547222 | 377.382 | 566.749 | |
| 586.0 | Lahore | 31.5497222 | 74.3436111 | 8741.365 | 13033.135 | |
| 586.0 | Larkana | 27.55 | 68.2166667 | 596.086 | 964.603 | |
| 586.0 | Mardan | 34.20195 | 72.05254 | 406.522 | 618.887 | |
| 586.0 | Multan | 30.1833333 | 71.4833333 | 1920.776 | 2865.591 | |
| 586.0 | Nawabshah | 26.25 | 68.4166667 | 330.759 | 514.221 | |
| 586.0 | Okara | 30.8080556 | 73.4458333 | 318.346 | 480.47 | |
| 586.0 | Peshawar | 34.00195 | 71.55944 | 1736.192 | 2639.81 | |
| 586.0 | Quetta | 30.199 | 67.00971 | 1108.749 | 1739.793 | |
| 586.0 | Rahim Yar Khan | 28.415126 | 70.299678 | 442.374 | 696.818 | |
| 586.0 | Rawalpindi | 33.6 | 73.0666667 | 2505.889 | 3808.919 | |
| 586.0 | Sargodha | 32.0833333 | 72.6666667 | 715.354 | 1069.18 | |
| 586.0 | Sheikhupura | 31.7130556 | 73.9783333 | 528.174 | 831.195 | |
| 586.0 | Sialkot | 32.5 | 74.5166667 | 579.222 | 843.079 | |
| 586.0 | Sukkur | 27.7 | 68.8666667 | 572.576 | 877.862 | |
| 586.0 | Wah | 33.764072 | 72.745029 | 323.742 | 491.813 | |
| 591.0 | Ciudad de Panamá (Panama City) | 8.995816 | -79.519572 | 1672.81 | 2221.467 | |
| 598.0 | Port Moresby | -9.44314 | 147.17972 | 345.158 | 534.225 | |
| 600.0 | Asunción | -25.30066 | -57.63591 | 2356.174 | 3135.177 | |
| 600.0 | Ciudad del Este | -25.51667 | -54.61667 | 421.692 | 620.518 | |
| 604.0 | Arequipa | -16.39889 | -71.535 | 850.275 | 1067.376 | |
| 604.0 | Chiclayo | -6.77361 | -79.84167 | 596.273 | 757.745 | |
| 604.0 | Chimbote | -9.08528 | -78.57833 | 375.492 | 477.335 | |
| 604.0 | Cusco | -13.51833 | -71.97806 | 411.688 | 536.25 | |
| 604.0 | Huancayo | -12.06667 | -75.23333 | 363.714 | 463.337 | |
| 604.0 | Iquitos | -3.737172 | -73.25275 | 435.059 | 564.472 | |
| 604.0 | Lima | -12.04318 | -77.02824 | 9897.033 | 12221.301 | |
| 604.0 | Piura | -5.2 | -80.63333 | 444.129 | 577.002 | |
| 604.0 | Trujillo | -8.11599 | -79.02998 | 797.799 | 1023.641 | |
| 608.0 | Angeles City | 15.15 | 120.58333 | 362.885 | 499.025 | |
| 608.0 | Bacolod | 10.650723 | 122.945983 | 558.788 | 753.373 | |
| 608.0 | Baguio City | 16.410801 | 120.590156 | 358.227 | 496.833 | |
| 608.0 | Basilan City (including City of Isabela) | 6.70407 | 121.97117 | 423.858 | 570.188 | |
| 608.0 | Batangas City | 13.75729 | 121.058643 | 339.561 | 467.068 | |
| 608.0 | Butuan | 8.94917 | 125.54361 | 333.151 | 447.062 | |
| 608.0 | Cagayan de Oro City | 8.48222 | 124.64722 | 687.949 | 958.018 | |
| 608.0 | Cebu City | 10.31672 | 123.89071 | 950.559 | 1277.799 | |
| 608.0 | Cotabato | 7.22361 | 124.24639 | 351.406 | 543.007 | |
| 608.0 | Davao City | 7.073854 | 125.612487 | 1629.547 | 2216.228 | |
| 608.0 | General Santos City | 6.11278 | 125.17167 | 615.559 | 859.249 | |
| 608.0 | Iligan | 8.227401 | 124.242586 | 343.192 | 456.201 | |
| 608.0 | Iloilo City | 10.696639 | 122.562855 | 457.15 | 611.336 | |
| 608.0 | Lapu-Lapu City | 10.31028 | 123.94944 | 446.944 | 681.209 | |
| 608.0 | Lipa City | 13.941883 | 121.162665 | 323.146 | 453.655 | |
| 608.0 | Mandaue City | 10.32361 | 123.92222 | 374.402 | 521.073 | |
| 608.0 | Manila | 14.6042 | 120.9822 | 12946.263 | 16755.63 | |
| 608.0 | Zamboanga City | 6.910333 | 122.075045 | 935.769 | 1312.566 | |
| 616.0 | Bydgoszcz | 53.1235 | 18.00762 | 359.17 | 375.809 | |
| 616.0 | Gdańsk | 54.35205 | 18.64637 | 460.22 | 485.301 | |
| 616.0 | Katowice | 50.25842 | 19.02754 | 303.024 | 314.182 | |
| 616.0 | Kraków (Cracow) | 50.066777 | 19.942468 | 759.557 | 796.758 | |
| 616.0 | Łódź | 51.759433 | 19.459957 | 702.965 | 707.303 | |
| 616.0 | Lublin | 51.25 | 22.56667 | 345.504 | 362.634 | |
| 616.0 | Poznań | 52.40692 | 16.92993 | 544.616 | 561.109 | |
| 616.0 | Szczecin | 53.42894 | 14.55302 | 407.498 | 428.3 | |
| 616.0 | Warszawa (Warsaw) | 52.22977 | 21.01178 | 1722.31 | 1791.269 | |
| 616.0 | Wrocław | 51.1 | 17.03333 | 627.94 | 654.253 | |
| 620.0 | Lisboa (Lisbon) | 38.71686 | -9.139867 | 2884.297 | 3192.337 | |
| 620.0 | Porto | 41.14961 | -8.61099 | 1299.437 | 1442.997 | |
| 630.0 | Aguadilla-Isabela-San Sebastian | 18.427701 | -67.154397 | 303.03 | 313.895 | |
| 630.0 | San Juan | 18.46633 | -66.10572 | 2463.243 | 2468.182 | |
| 634.0 | Ad-Dawhah (Doha) | 25.274724 | 51.524472 | 717.79 | 836.742 | |
| 634.0 | Ar-Rayyan | 25.29194 | 51.42444 | 677.236 | 938.847 | |
| 410.0 | Ansan | 37.32361 | 126.82194 | 775.81 | 876.791 | |
| 410.0 | Anyang | 37.3925 | 126.92694 | 595.335 | 635.074 | |
| 410.0 | Bucheon | 37.49889 | 126.78306 | 871.567 | 949.1 | |
| 410.0 | Busan | 35.10278 | 129.04028 | 3216.298 | 3263.702 | |
| 410.0 | Changwon | 35.22806 | 128.68111 | 1038.755 | 1089.769 | |
| 410.0 | Cheonan | 36.813188 | 127.140955 | 488.003 | 589.01 | |
| 410.0 | Cheongju | 36.63722 | 127.48972 | 692.599 | 768.105 | |
| 410.0 | Daegu | 35.87028 | 128.59111 | 2244.086 | 2327.543 | |
| 410.0 | Daejon | 36.32139 | 127.41972 | 1563.706 | 1711.075 | |
| 410.0 | Gimhae | 35.23417 | 128.88111 | 305.985 | 342.677 | |
| 410.0 | Goyang | 37.65639 | 126.835 | 942.437 | 1041.396 | |
| 410.0 | Gumi | 36.119127 | 128.345482 | 363.098 | 417.071 | |
| 410.0 | Gwangju | 35.146111 | 126.918611 | 1536.409 | 1681.672 | |
| 410.0 | Gwangmyeong | 37.47722 | 126.86639 | 338.31 | 377.189 | |
| 410.0 | Incheon | 37.45361 | 126.73167 | 2685.238 | 2918.919 | |
| 410.0 | Jeju | 33.50972 | 126.52194 | 332.991 | 373.175 | |
| 410.0 | Jeonju | 35.82194 | 127.14889 | 675.543 | 750.305 | |
| 410.0 | Pohang | 36.017205 | 129.360216 | 346.282 | 389.827 | |
| 410.0 | Seongnam | 37.43861 | 127.13778 | 968.337 | 1050.27 | |
| 410.0 | Seoul | 37.56826 | 126.97783 | 9773.746 | 9959.675 | |
| 410.0 | Siheung | 37.455619 | 126.902408 | 429.635 | 487.491 | |
| 410.0 | Suweon | 37.26349 | 127.021385 | 1098.841 | 1194.662 | |
| 410.0 | Uijeongbu | 37.7415 | 127.0474 | 436.786 | 491.866 | |
| 410.0 | Ulsan | 35.53722 | 129.31667 | 904.239 | 975.453 | |
| 410.0 | Yongin | 37.235245 | 127.203292 | 1047.815 | 1324.842 | |
| 498.0 | Chişinău | 47.00556 | 28.8575 | 725.432 | 764.115 | |
| 642.0 | Bucuresti (Bucharest) | 44.432787 | 26.104302 | 1867.724 | 1939.167 | |
| 642.0 | Cluj-Napoca | 46.76667 | 23.6 | 327.26 | 358.8 | |
| 642.0 | Timisoara | 45.74944 | 21.22722 | 320.015 | 348.793 | |
| 643.0 | Arkhangelsk | 64.56 | 40.5333333 | 348.818 | 360.339 | |
| 643.0 | Astrakhan | 46.34968 | 48.04076 | 526.782 | 544.759 | |
| 643.0 | Barnaul | 53.36056 | 83.76361 | 615.475 | 630.405 | |
| 643.0 | Belgorod | 50.61074 | 36.58015 | 366.562 | 387.245 | |
| 643.0 | Bryansk | 53.25209 | 34.37167 | 405.12 | 360.99 | |
| 643.0 | Cheboksary | 56.13222 | 47.25194 | 459.811 | 477.356 | |
| 643.0 | Chelyabinsk | 55.15444 | 61.42972 | 1157.336 | 1187.421 | |
| 643.0 | Cherepovets | 59.13333 | 37.9 | 311.275 | 321.458 | |
| 643.0 | Chita | 52.03171 | 113.50087 | 327.239 | 340.945 | |
| 643.0 | Irkutsk | 52.29778 | 104.29639 | 582.467 | 547.116 | |
| 643.0 | Ivanovo | 56.99719 | 40.97139 | 393.42 | 338.107 | |
| 643.0 | Izhevsk | 56.84976 | 53.20448 | 622.818 | 587.644 | |
| 643.0 | Kaliningrad, Kaliningrad Oblast | 54.714258 | 20.510017 | 431.327 | 442.939 | |
| 643.0 | Kaluga | 54.5293 | 36.27542 | 317.527 | 286.107 | |
| 643.0 | Kazan | 55.78874 | 49.12214 | 1162.259 | 1184.834 | |
| 643.0 | Kemerovo | 55.33333 | 86.08333 | 532.887 | 545.192 | |
| 643.0 | Khabarovsk | 48.48272 | 135.08379 | 572.202 | 537.737 | |
| 643.0 | Kirov | 58.603068 | 49.668173 | 481.765 | 501.123 | |
| 643.0 | Krasnodar | 45.0488 | 38.9725 | 807.578 | 876.06 | |
| 643.0 | Krasnoyarsk | 56.00972 | 92.79167 | 1008.374 | 1047.453 | |
| 643.0 | Kurgan | 55.45 | 65.33333 | 325.459 | 291.031 | |
| 643.0 | Kursk | 51.73733 | 36.18735 | 415.199 | 427.252 | |
| 643.0 | Lipetsk | 52.60311 | 39.57076 | 508.782 | 521.054 | |
| 643.0 | Magnitogorsk | 53.41861 | 59.04722 | 399.743 | 362.994 | |
| 643.0 | Makhachkala | 42.97638 | 47.50236 | 641.821 | 720.297 | |
| 643.0 | Moskva (Moscow) | 55.754996 | 37.621849 | 12165.704 | 12200.375 | |
| 643.0 | Naberezhnye Tchelny | 55.72545 | 52.41122 | 513.255 | 525.676 | |
| 643.0 | Nizhniy Novgorod | 56.32867 | 44.00205 | 1211.716 | 1060.074 | |
| 643.0 | Nizhny Tagil | 57.91944 | 59.965 | 344.575 | 285.384 | |
| 643.0 | Novokuznetsk | 53.7557 | 87.1099 | 544.549 | 516.616 | |
| 643.0 | Novosibirsk | 55.0415 | 82.9346 | 1497.164 | 1517.051 | |
| 643.0 | Omsk | 55.0 | 73.4 | 1161.893 | 1175.042 | |
| 643.0 | Orel | 52.96508 | 36.0785 | 307.613 | 268.42 | |
| 643.0 | Orenburg | 51.7727 | 55.0988 | 545.983 | 521.035 | |
| 643.0 | Penza | 53.20066 | 45.00464 | 514.836 | 490.524 | |
| 643.0 | Perm | 58.01741 | 56.28552 | 982.219 | 923.209 | |
| 643.0 | Rostov-na-Donu (Rostov-on-Don) | 47.217791 | 39.703185 | 1096.597 | 1110.433 | |
| 643.0 | Ryazan | 54.6269 | 39.6916 | 524.966 | 537.379 | |
| 643.0 | Samara | 53.20006 | 50.15 | 1164.357 | 1170.585 | |
| 643.0 | Sankt Peterburg (Saint Petersburg) | 59.929858 | 30.326228 | 4992.991 | 4955.347 | |
| 643.0 | Saratov | 51.54056 | 46.00861 | 814.562 | 720.269 | |
| 643.0 | Smolensk | 54.7818 | 32.0401 | 326.517 | 337.471 | |
| 643.0 | Sochi | 43.59917 | 39.72569 | 350.817 | 368.973 | |
| 643.0 | Stavropol | 45.0428 | 41.9734 | 425.138 | 461.568 | |
| 643.0 | Surgut | 61.258749 | 73.424407 | 318.631 | 340.546 | |
| 643.0 | Tolyatti | 53.5303 | 49.3461 | 727.591 | 746.21 | |
| 643.0 | Tomsk | 56.49417 | 84.97417 | 545.577 | 576.561 | |
| 643.0 | Tula | 54.20213 | 37.64429 | 516.984 | 543.337 | |
| 643.0 | Tver | 56.86049 | 35.87603 | 398.724 | 371.08 | |
| 643.0 | Tyumen | 57.15222 | 65.52722 | 625.705 | 678.011 | |
| 643.0 | Ufa | 54.78517 | 56.04562 | 1070.272 | 1085.041 | |
| 643.0 | Ulan-Ude | 51.82605 | 107.60979 | 431.719 | 468.827 | |
| 643.0 | Ulyanovsk | 54.32824 | 48.38657 | 600.589 | 539.388 | |
| 643.0 | Vladikavkaz | 43.03667 | 44.66778 | 308.596 | 289.207 | |
| 643.0 | Vladimir | 56.13655 | 40.39658 | 362.272 | 389.181 | |
| 643.0 | Vladivostok | 43.10562 | 131.87353 | 590.082 | 600.76 | |
| 643.0 | Volgograd | 48.71939 | 44.50184 | 1022.487 | 1032.257 | |
| 643.0 | Vologda | 59.2187 | 39.8886 | 306.034 | 320.806 | |
| 643.0 | Volzhsky | 48.78583 | 44.77973 | 315.246 | 327.229 | |
| 643.0 | Voronezh | 51.67204 | 39.1843 | 911.225 | 940.015 | |
| 643.0 | Yakutsk | 62.03389 | 129.73306 | 311.229 | 363.562 | |
| 643.0 | Yaroslavl | 57.62987 | 39.87368 | 576.888 | 515.427 | |
| 643.0 | Yekaterinburg | 56.8575 | 60.6125 | 1379.038 | 1406.616 | |
| 646.0 | Kigali | -1.947364 | 30.057897 | 1256.994 | 2267.541 | |
| 682.0 | Ad-Dammam | 26.43442 | 50.10326 | 1064.418 | 1321.315 | |
| 682.0 | Al-Madinah (Medina) | 24.463501 | 39.611106 | 1280.248 | 1569.683 | |
| 682.0 | Ar-Riyadh (Riyadh) | 24.690466 | 46.709566 | 6369.71 | 7940.087 | |
| 682.0 | Buraydah | 26.32599 | 43.97497 | 559.723 | 710.403 | |
| 682.0 | Hafar al-Batin | 28.425078 | 45.96883 | 309.809 | 382.204 | |
| 682.0 | Ha'il | 27.52188 | 41.69073 | 352.75 | 432.595 | |
| 682.0 | Hufuf-Mubarraz | 25.41 | 49.58083 | 743.248 | 895.167 | |
| 682.0 | Jiddah | 21.51694 | 39.21917 | 4075.803 | 4988.057 | |
| 682.0 | Jubayl | 27.01122 | 49.65826 | 488.376 | 717.814 | |
| 682.0 | Khamis Mushayt | 18.30639 | 42.72917 | 485.594 | 589.599 | |
| 682.0 | Makkah (Mecca) | 21.417368 | 39.815855 | 1770.6 | 2145.795 | |
| 682.0 | Najran | 17.4924 | 44.12766 | 350.083 | 440.663 | |
| 682.0 | Tabuk | 28.38333 | 36.58333 | 580.31 | 705.032 | |
| 682.0 | Taif | 21.27028 | 40.41583 | 631.216 | 743.117 | |
| 686.0 | Dakar | 14.6937 | -17.44406 | 3520.215 | 6045.685 | |
| 688.0 | Beograd (Belgrade) | 44.817649 | 20.463309 | 1181.81 | 1196.109 | |
| 694.0 | Freetown | 8.484 | -13.22994 | 1007.14 | 1470.312 | |
| 702.0 | Singapore | 1.28967 | 103.85007 | 5618.866 | 6577.884 | |
| 703.0 | Bratislava | 48.14816 | 17.10674 | 400.67 | 404.066 | |
| 706.0 | Berbera | 10.43959 | 45.01432 | 383.21 | 651.866 | |
| 706.0 | Hargeysa | 9.56 | 44.065 | 759.587 | 1287.879 | |
| 706.0 | Kismaayo | -0.366667 | 42.533333 | 366.178 | 616.535 | |
| 706.0 | Merca | 1.71594 | 44.77166 | 511.228 | 868.946 | |
| 706.0 | Muqdisho (Mogadishu) | 2.041636 | 45.343492 | 2137.839 | 4176.11 | |
| 710.0 | Bloemfontein | -29.12106 | 26.214 | 503.013 | 622.744 | |
| 710.0 | Cape Town | -33.92584 | 18.42322 | 3660.447 | 4321.625 | |
| 710.0 | Durban | -29.8579 | 31.0292 | 2900.927 | 3349.433 | |
| 710.0 | East London | -33.01529 | 27.91162 | 319.304 | 397.141 | |
| 710.0 | Johannesburg | -26.20227 | 28.04363 | 9398.698 | 11573.129 | |
| 710.0 | Pietermaritzburg | -29.61678 | 30.39278 | 494.828 | 587.714 | |
| 710.0 | Port Elizabeth | -33.91799 | 25.57007 | 1178.729 | 1389.716 | |
| 710.0 | Pretoria | -25.74486 | 28.18783 | 2058.789 | 2701.345 | |
| 710.0 | Rustenburg | -25.66756 | 27.24208 | 382.716 | 544.001 | |
| 710.0 | Soshanguve | -25.47288 | 28.09919 | 774.59 | 934.706 | |
| 710.0 | Vereeniging | -26.67313 | 27.92615 | 1155.14 | 1370.144 | |
| 710.0 | Witbank | -25.87133 | 29.23323 | 371.398 | 511.917 | |
| 728.0 | Juba | 4.85165 | 31.58247 | 321.115 | 596.192 | |
| 724.0 | Alicante | 38.34517 | -0.48149 | 346.237 | 396.62 | |
| 724.0 | Barcelona | 41.38879 | 2.15899 | 5258.319 | 5685.152 | |
| 724.0 | Bilbao | 43.26271 | -2.92528 | 350.835 | 379.938 | |
| 724.0 | Cordoba | 37.88333 | -4.76667 | 335.024 | 371.778 | |
| 724.0 | Las Palmas Gran Canaria | 28.110696 | -15.434283 | 390.19 | 433.084 | |
| 724.0 | Madrid | 40.4165 | -3.70256 | 6199.254 | 6707.421 | |
| 724.0 | Malaga | 36.72016 | -4.42034 | 573.808 | 631.201 | |
| 724.0 | Murcia | 37.98704 | -1.13004 | 463.468 | 532.034 | |
| 724.0 | Palma | 39.56939 | 2.65024 | 428.859 | 496.963 | |
| 724.0 | Sevilla | 37.38241 | -5.97613 | 700.89 | 753.368 | |
| 724.0 | Valencia | 39.46975 | -0.37739 | 810.044 | 885.722 | |
| 724.0 | Valladolid | 41.65518 | -4.72372 | 309.022 | 332.918 | |
| 724.0 | Zaragoza | 41.65606 | -0.87734 | 700.544 | 776.608 | |
| 144.0 | Colombo | 6.93194 | 79.84778 | 706.648 | 844.884 | |
| 275.0 | Gaza (incl. Ash Shati Camp) | 31.510618 | 34.458756 | 623.913 | 941.223 | |
| 729.0 | Al Gadarif | 14.03493 | 35.38344 | 317.669 | 510.305 | |
| 729.0 | Al Obeid (Al Ubayyid) | 13.18416667 | 30.2166666667 | 419.835 | 684.813 | |
| 729.0 | Al-Khartum (Khartoum) | 15.55177 | 32.53241 | 5129.358 | 8158.384 | |
| 729.0 | Kassala | 15.45099 | 36.39998 | 335.293 | 524.047 | |
| 729.0 | Nyala | 12.05 | 24.88333 | 714.149 | 1278.634 | |
| 729.0 | Port Sudan (Bur Sudan) | 19.619521 | 37.21238 | 444.451 | 694.389 | |
| 729.0 | Wad Medani | 14.40118 | 33.51989 | 336.753 | 536.676 | |
| 752.0 | Göteborg | 57.703161 | 11.966273 | 585.859 | 694.79 | |
| 752.0 | Stockholm | 59.33258 | 18.0649 | 1485.68 | 1757.468 | |
| 756.0 | Basel | 47.5584 | 7.57327 | 507.764 | 603.522 | |
| 756.0 | Bern | 46.94809 | 7.44744 | 358.481 | 424.896 | |
| 756.0 | Genève | 46.20222 | 6.14569 | 557.806 | 682.203 | |
| 756.0 | Lausanne | 46.516 | 6.63282 | 352.642 | 429.327 | |
| 756.0 | Zürich (Zurich) | 47.35785 | 8.50296 | 1246.199 | 1493.733 | |
| 760.0 | Al-Hasakah | 36.50237 | 40.74772 | 557.704 | 955.994 | |
| 760.0 | Al-Kamishli | 37.05215 | 41.23142 | 378.264 | 583.512 | |
| 760.0 | Al-Raqqa | 35.95 | 39.01667 | 736.313 | 1248.325 | |
| 760.0 | Deir El-Zor(Deir ez-Zor) | 35.332233 | 40.150155 | 413.671 | 651.844 | |
| 760.0 | Dimashq (Damascus) | 33.508586 | 36.308444 | 2565.67 | 3450.513 | |
| 760.0 | Halab (Aleppo) | 36.213611 | 37.157141 | 3561.796 | 5086.929 | |
| 760.0 | Hamah | 35.13179 | 36.75783 | 1236.537 | 2002.853 | |
| 760.0 | Hims (Homs) | 34.731809 | 36.718125 | 1641.298 | 2471.05 | |
| 760.0 | Lattakia | 35.51484 | 35.77684 | 780.933 | 1155.237 | |
| 760.0 | Tartus | 34.893201 | 35.88844 | 595.445 | 1007.057 | |
| 762.0 | Dushanbe | 38.53575 | 68.77905 | 822.331 | 1270.514 | |
| 807.0 | Skopje | 42.0 | 21.43333 | 502.655 | 528.349 | |
| 764.0 | Chon Buri | 13.361125 | 100.988319 | 518.103 | 796.26 | |
| 764.0 | Hat Yai | 7.0083 | 100.4767 | 317.694 | 430.363 | |
| 764.0 | Krung Thep (Bangkok) | 13.721964 | 100.525248 | 9269.823 | 11527.934 | |
| 764.0 | Lampang | 18.29232 | 99.49277 | 382.281 | 576.281 | |
| 764.0 | Nakhon Ratchasima | 14.97066 | 102.10196 | 367.929 | 505.365 | |
| 764.0 | Nonthaburi | 13.860208 | 100.521782 | 409.173 | 526.232 | |
| 764.0 | Rayong | 12.68095 | 101.25798 | 332.195 | 526.833 | |
| 764.0 | Samut Prakan | 13.59934 | 100.59675 | 1814.046 | 3139.358 | |
| 764.0 | Udon Thani | 17.41567 | 102.78589 | 526.401 | 772.441 | |
| 768.0 | Lomé | 6.13748 | 1.21227 | 956.332 | 1601.626 | |
| 788.0 | Safaqis | 34.748471 | 10.756162 | 714.4 | 912.234 | |
| 788.0 | Tunis | 36.81897 | 10.16579 | 1993.487 | 2347.008 | |
| 792.0 | Adana | 37.00167 | 35.32889 | 1829.555 | 2350.675 | |
| 792.0 | Ankara | 39.91987 | 32.85427 | 4749.968 | 5874.551 | |
| 792.0 | Antalya | 36.90812 | 30.69556 | 1072.386 | 1380.699 | |
| 792.0 | Batman | 37.88738 | 41.13221 | 365.488 | 470.112 | |
| 792.0 | Bursa | 40.19167 | 29.06111 | 1922.517 | 2464.6 | |
| 792.0 | Denizli | 37.77417 | 29.0875 | 557.936 | 709.863 | |
| 792.0 | Diyarbakir | 37.91583 | 40.21889 | 926.275 | 1130.681 | |
| 792.0 | Elazig | 38.67431 | 39.22321 | 363.481 | 457.281 | |
| 792.0 | Erzurum | 39.90861 | 41.27694 | 382.124 | 448.647 | |
| 792.0 | Eskisehir | 39.77667 | 30.52056 | 704.798 | 893.867 | |
| 792.0 | Gaziantep | 37.05944 | 37.3825 | 1528.366 | 1955.173 | |
| 792.0 | Gebze | 40.80276 | 29.43068 | 609.088 | 795.67 | |
| 792.0 | Istanbul | 41.0138 | 28.9497 | 14163.989 | 16694.313 | |
| 792.0 | Izmir | 38.41273 | 27.13838 | 3040.416 | 3700.674 | |
| 792.0 | Izmit | 40.774765 | 29.949082 | 307.441 | 362.489 | |
| 792.0 | Kahramanmaras | 37.5847 | 36.9264 | 455.205 | 574.216 | |
| 792.0 | Kayseri | 38.73222 | 35.48528 | 904.245 | 1118.506 | |
| 792.0 | Konya | 37.87135 | 32.48464 | 1194.383 | 1542.142 | |
| 792.0 | Malatya | 38.35 | 38.316667 | 431.342 | 514.767 | |
| 792.0 | Manisa | 38.61202 | 27.42646 | 325.43 | 413.184 | |
| 792.0 | Mersin | 36.8 | 34.633333 | 853.652 | 1104.007 | |
| 792.0 | Sakarya | 40.773758 | 30.402377 | 473.2 | 614.34 | |
| 792.0 | Samsun | 41.2833333 | 36.3333333 | 565.158 | 731.662 | |
| 792.0 | Sanliurfa | 37.16708 | 38.79392 | 555.302 | 704.279 | |
| 792.0 | Sivas | 39.75 | 37.0333333 | 351.817 | 445.72 | |
| 792.0 | Van | 38.5 | 43.3833333 | 409.583 | 521.877 | |
| 795.0 | Ashgabat | 37.95 | 58.38333 | 745.961 | 942.418 | |
| 795.0 | Tashauz | 41.83625 | 59.96662 | 310.022 | 419.845 | |
| 800.0 | Kampala | 0.31628 | 32.58219 | 1935.654 | 3939.07 | |
| 804.0 | Dnipropetrovsk | 48.45 | 34.98333 | 956.654 | 821.44 | |
| 804.0 | Donetsk | 48.023 | 37.80224 | 934.147 | 838.636 | |
| 804.0 | Kharkiv | 49.98081 | 36.25272 | 1440.839 | 1392.551 | |
| 804.0 | Krivoi Rog | 47.91083 | 33.392491 | 681.248 | 704.414 | |
| 804.0 | Kyiv (Kiev) | 50.445368 | 30.518634 | 2941.884 | 3037.714 | |
| 804.0 | Lugansk | 48.56705 | 39.31706 | 419.328 | 371.821 | |
| 804.0 | Lvov | 49.837969 | 24.032508 | 735.397 | 755.757 | |
| 804.0 | Makeyevka | 48.04782 | 37.92576 | 331.644 | 274.295 | |
| 804.0 | Mariupol | 47.06667 | 37.5 | 450.884 | 405.046 | |
| 804.0 | Nikolaev | 46.96591 | 31.9974 | 492.005 | 463.756 | |
| 804.0 | Odesa | 46.47747 | 30.73262 | 1010.475 | 1031.231 | |
| 804.0 | Sevastopol | 44.58883 | 33.5224 | 334.556 | 323.005 | |
| 804.0 | Simferopol | 44.95719 | 34.11079 | 333.302 | 318.41 | |
| 804.0 | Vinnitsa | 49.23278 | 28.48097 | 371.299 | 391.755 | |
| 804.0 | Zaporizhzhya | 47.82289 | 35.19031 | 753.237 | 684.667 | |
| 784.0 | Abu Zaby (Abu Dhabi) | 24.464778 | 54.361781 | 1144.933 | 1607.821 | |
| 784.0 | Ajman | 25.41111 | 55.43504 | 323.043 | 452.871 | |
| 784.0 | Al-Ain | 24.19167 | 55.76056 | 447.299 | 567.812 | |
| 784.0 | Dubayy (Dubai) | 25.272061 | 55.311265 | 2414.591 | 3470.592 | |
| 784.0 | Sharjah | 25.35731 | 55.4033 | 1279.36 | 1890.154 | |
| 826.0 | Belfast | 54.594668 | -5.929812 | 605.163 | 682.97 | |
| 826.0 | Birkenhead | 53.39337 | -3.01479 | 327.833 | 372.188 | |
| 826.0 | Birmingham (West Midlands) | 52.4814 | -1.8998 | 2514.596 | 2808.296 | |
| 826.0 | Bournemouth/Poole | 50.72048 | -1.8795 | 482.9 | 558.379 | |
| 826.0 | Brighton-Worthing-Littlehampton | 50.82838 | -0.13947 | 496.686 | 567.342 | |
| 826.0 | Bristol | 51.4552 | -2.5966 | 648.143 | 755.079 | |
| 826.0 | Cardiff | 51.48 | -3.18 | 468.264 | 547.223 | |
| 826.0 | Coventry-Bedworth | 52.4066 | -1.5122 | 369.534 | 425.854 | |
| 826.0 | Edinburgh | 55.9521 | -3.1965 | 494.71 | 566.993 | |
| 826.0 | Glasgow | 55.86515 | -4.25763 | 1222.955 | 1360.23 | |
| 826.0 | Kingston upon Hull | 53.748257 | -0.334021 | 319.702 | 366.544 | |
| 826.0 | Leicester | 52.6386 | -1.1317 | 535.803 | 627.926 | |
| 826.0 | Liverpool | 53.41058 | -2.97794 | 870.26 | 970.032 | |
| 826.0 | London | 51.50853 | -0.12574 | 10313.307 | 11467.322 | |
| 826.0 | Manchester | 53.48095 | -2.23743 | 2645.598 | 2967.799 | |
| 826.0 | Newcastle upon Tyne | 54.97328 | -1.61396 | 790.653 | 893.632 | |
| 826.0 | Newport | 51.58471 | -2.997939 | 313.904 | 361.632 | |
| 826.0 | Nottingham | 52.9536 | -1.15047 | 755.012 | 864.934 | |
| 826.0 | Preston | 53.761025 | -2.702435 | 324.596 | 378.126 | |
| 826.0 | Reading-Wokingham | 51.4112 | -0.8356 | 325.353 | 374.603 | |
| 826.0 | Sheffield | 53.38297 | -1.4659 | 705.781 | 806.229 | |
| 826.0 | Southampton/Portsmouth (South Hampshire) | 50.911698 | -1.40357 | 882.065 | 1004.633 | |
| 826.0 | Southend-On-Sea | 51.53782 | 0.71433 | 304.344 | 353.236 | |
| 826.0 | Stoke-on-Trent (The Potteries) | 53.0042 | -2.1854 | 377.458 | 429.28 | |
| 826.0 | Sunderland | 54.9119 | -1.3833 | 334.785 | 376.504 | |
| 826.0 | Swansea | 51.6208 | -3.9432 | 309.328 | 358.687 | |
| 826.0 | Teeside (Middlesbrough) | 54.57623 | -1.23483 | 381.78 | 434.515 | |
| 826.0 | West Yorkshire | 53.798431 | -1.764855 | 1912.493 | 2234.68 | |
| 834.0 | Arusha | -3.36667 | 36.68333 | 443.871 | 816.326 | |
| 834.0 | Dar es Salaam | -6.82349 | 39.26951 | 5115.67 | 10759.575 | |
| 834.0 | Mbeya | -8.9 | 33.45 | 444.365 | 914.23 | |
| 834.0 | Morogoro | -6.81667 | 37.66667 | 340.755 | 667.499 | |
| 834.0 | Mwanza | -2.51667 | 32.9 | 837.86 | 1793.192 | |
| 834.0 | Zanzibar | -6.16394 | 39.19793 | 569.158 | 1144.477 | |
| 840.0 | Akron | 41.08144 | -81.51901 | 567.661 | 636.569 | |
| 840.0 | Albany | 42.66 | -73.78 | 613.043 | 703.97 | |
| 840.0 | Albuquerque | 35.110703 | -106.609991 | 826.787 | 1002.767 | |
| 840.0 | Allentown-Bethlehem | 40.60908 | -75.475962 | 713.978 | 843.867 | |
| 840.0 | Ann Arbor | 42.27756 | -83.74088 | 317.407 | 370.455 | |
| 840.0 | Antioch | 38.0 | -121.81 | 314.4 | 392.171 | |
| 840.0 | Asheville | 35.579862 | -82.55581 | 316.604 | 393.739 | |
| 840.0 | Atlanta | 33.76 | -84.4 | 5142.14 | 6140.49 | |
| 840.0 | Augusta-Richmond County | 33.467086 | -81.990199 | 415.382 | 495.424 | |
| 840.0 | Austin | 30.27 | -97.74 | 1684.433 | 2181.545 | |
| 840.0 | Bakersfield | 35.357276 | -119.031661 | 604.614 | 756.415 | |
| 840.0 | Baltimore | 39.29038 | -76.61219 | 2266.981 | 2542.507 | |
| 840.0 | Baton Rouge | 30.45075 | -91.15455 | 663.232 | 807.813 | |
| 840.0 | Birmingham | 33.515744 | -86.801056 | 796.463 | 931.963 | |
| 840.0 | Boise City | 43.619505 | -116.212301 | 397.07 | 494.331 | |
| 840.0 | Bonita Springs-Naples | 26.33981 | -81.7787 | 369.123 | 476.56 | |
| 840.0 | Boston | 42.347919 | -71.06453 | 4249.036 | 4671.29 | |
| 840.0 | Bridgeport-Stamford | 41.16704 | -73.20483 | 939.307 | 1060.508 | |
| 840.0 | Buffalo | 42.887934 | -78.871593 | 912.955 | 999.061 | |
| 840.0 | Cape Coral | 26.6396 | -81.982471 | 677.385 | 913.323 | |
| 840.0 | Charleston-North Charleston | 32.789295 | -79.986255 | 625.867 | 776.074 | |
| 840.0 | Charlotte | 35.22709 | -80.84313 | 1615.57 | 2165.939 | |
| 840.0 | Chattanooga | 35.045473 | -85.267255 | 401.271 | 471.777 | |
| 840.0 | Chicago | 41.85003 | -87.65005 | 8744.835 | 9493.032 | |
| 840.0 | Cincinnati | 39.104722 | -84.518783 | 1687.514 | 1915.934 | |
| 840.0 | Cleveland | 41.498587 | -81.687402 | 1772.872 | 1948.003 | |
| 840.0 | Colorado Springs | 38.863443 | -104.791914 | 613.579 | 738.622 | |
| 840.0 | Columbia, South Carolina | 33.999477 | -81.036538 | 630.484 | 784.57 | |
| 840.0 | Columbus, Ohio | 39.962205 | -83.000186 | 1505.041 | 1788.21 | |
| 840.0 | Concord | 37.97798 | -122.03107 | 650.099 | 759.408 | |
| 840.0 | Corpus Christi | 27.742857 | -97.401927 | 333.743 | 390.749 | |
| 840.0 | Dallas-Fort Worth | 32.72541 | -97.32085 | 5702.641 | 6682.913 | |
| 840.0 | Dayton | 39.758406 | -84.192906 | 733.18 | 828.355 | |
| 840.0 | Daytona Beach-Port Orange | 29.1383165 | -80.9956105 | 409.729 | 522.74 | |
| 840.0 | Denton-Lewisville | 33.04669 | -96.994063 | 405.314 | 494.785 | |
| 840.0 | Denver-Aurora | 39.734283 | -104.983138 | 2599.351 | 3048.482 | |
| 840.0 | Des Moines | 41.60054 | -93.60911 | 496.779 | 603.049 | |
| 840.0 | Detroit | 42.387137 | -83.102641 | 3639.05 | 3886.329 | |
| 840.0 | Durham | 35.988644 | -78.907167 | 382.537 | 465.404 | |
| 840.0 | El Paso | 31.7775757 | -106.4424559 | 876.991 | 1045.804 | |
| 840.0 | Fayetteville | 35.066663 | -78.917579 | 328.726 | 389.628 | |
| 840.0 | Fayetteville-Springdale | 36.186711 | -94.129539 | 389.175 | 542.667 | |
| 840.0 | Flint | 43.027577 | -83.693996 | 350.786 | 393.005 | |
| 840.0 | Fort Wayne | 41.078348 | -85.126546 | 326.96 | 383.008 | |
| 840.0 | Fresno | 36.754529 | -119.771119 | 711.61 | 848.692 | |
| 840.0 | Grand Rapids | 42.956393 | -85.664883 | 585.185 | 670.724 | |
| 840.0 | Greensboro | 36.073233 | -79.791751 | 336.61 | 404.509 | |
| 840.0 | Greenville | 34.849805 | -82.397334 | 462.567 | 581.793 | |
| 840.0 | Harrisburg | 40.271709 | -76.884956 | 492.794 | 600.314 | |
| 840.0 | Hartford | 41.7637111 | -72.6850932 | 962.996 | 1106.024 | |
| 840.0 | Honolulu | 21.30895 | -157.826182 | 847.986 | 987.005 | |
| 840.0 | Houston | 29.7601927 | -95.3693896 | 5638.045 | 6728.797 | |
| 840.0 | Huntsville | 34.729703 | -86.589848 | 333.614 | 424.35 | |
| 840.0 | Indianapolis | 39.790942 | -86.147685 | 1645.658 | 1960.581 | |
| 840.0 | Indio-Cathedral City-Palm Springs | 33.719871 | -116.231889 | 403.936 | 513.84 | |
| 840.0 | Jackson, Mississippi | 32.295719 | -90.184034 | 385.679 | 468.13 | |
| 840.0 | Jacksonville, Florida | 30.33218 | -81.65565 | 1171.962 | 1398.493 | |
| 840.0 | Kansas City | 39.11417 | -94.62746 | 1604.389 | 1846.073 | |
| 840.0 | Kissimmee | 28.30468 | -81.41667 | 410.764 | 568.634 | |
| 840.0 | Knoxville | 35.960749 | -83.927657 | 646.67 | 810.003 | |
| 840.0 | Lancaster | 40.0378755 | -76.3055144 | 448.969 | 550.822 | |
| 840.0 | Lancaster-Palmdale | 34.686854 | -118.150931 | 411.908 | 536.715 | |
| 840.0 | Lansing | 42.728422 | -84.551367 | 319.987 | 368.888 | |
| 840.0 | Las Vegas | 36.169941 | -115.13983 | 2270.187 | 2866.652 | |
| 840.0 | Lexington-Fayette | 38.029632 | -84.494642 | 312.294 | 374.812 | |
| 840.0 | Little Rock | 34.742048 | -92.275359 | 472.565 | 570.873 | |
| 840.0 | Los Angeles-Long Beach-Santa Ana | 34.031656 | -118.241716 | 12309.53 | 13256.838 | |
| 840.0 | Louisville | 38.24194 | -85.763064 | 1031.932 | 1200.78 | |
| 840.0 | Madison | 43.069698 | -89.400114 | 444.133 | 540.9 | |
| 840.0 | McAllen | 26.216263 | -98.236385 | 863.945 | 1096.366 | |
| 840.0 | Memphis | 35.140814 | -90.047458 | 1106.083 | 1269.357 | |
| 840.0 | Miami | 25.789097 | -80.204044 | 5817.221 | 6553.633 | |
| 840.0 | Milwaukee | 43.0389 | -87.90647 | 1409.316 | 1587.809 | |
| 840.0 | Minneapolis-St. Paul | 44.97307 | -93.269895 | 2791.224 | 3174.602 | |
| 840.0 | Mission Viejo | 33.60002 | -117.672 | 610.369 | 708.815 | |
| 840.0 | Mobile | 30.69436 | -88.04305 | 329.9 | 377.527 | |
| 840.0 | Modesto | 37.661479 | -120.994543 | 384.558 | 459.182 | |
| 840.0 | Nashville-Davidson | 36.160996 | -86.783045 | 1105.476 | 1356.517 | |
| 840.0 | New Haven | 41.3019 | -72.929857 | 578.497 | 663.707 | |
| 840.0 | New Orleans | 29.95465 | -90.07507 | 921.27 | 1045.619 | |
| 840.0 | New York-Newark | 40.717042 | -74.003663 | 18593.22 | 19885.263 | |
| 840.0 | Ogden-Layton | 41.223 | -111.97383 | 625.976 | 778.862 | |
| 840.0 | Oklahoma City | 35.4675 | -97.516389 | 925.506 | 1089.088 | |
| 840.0 | Omaha | 41.25861111 | -95.93777778 | 780.19 | 921.958 | |
| 840.0 | Orlando | 28.53834 | -81.37924 | 1730.587 | 2115.084 | |
| 840.0 | Oxnard | 34.1975 | -119.17705 | 382.75 | 446.9 | |
| 840.0 | Palm Bay-Melbourne | 28.05902778 | -80.59833333 | 486.011 | 577.877 | |
| 840.0 | Pensacola | 30.42131 | -87.21691 | 347.984 | 401.386 | |
| 840.0 | Philadelphia | 39.95234 | -75.16379 | 5585.211 | 6157.522 | |
| 840.0 | Phoenix-Mesa | 33.449454 | -112.074743 | 4062.605 | 4808.348 | |
| 840.0 | Pittsburgh | 40.441823 | -79.98823 | 1719.343 | 1884.46 | |
| 840.0 | Port St. Lucie | 27.29393 | -80.35033 | 445.052 | 570.542 | |
| 840.0 | Portland | 45.521525 | -122.679933 | 2000.852 | 2335.566 | |
| 840.0 | Poughkeepsie-Newburgh | 41.60180556 | -73.96555556 | 465.242 | 563.318 | |
| 840.0 | Providence | 41.824037 | -71.417702 | 1196.451 | 1332.539 | |
| 840.0 | Provo-Orem | 40.23384 | -111.65853 | 613.098 | 824.354 | |
| 840.0 | Raleigh | 35.778897 | -78.637471 | 1139.77 | 1532.708 | |
| 840.0 | Reno | 39.52963 | -119.8138 | 446.831 | 556.618 | |
| 840.0 | Richmond | 37.543207 | -77.438159 | 1029.581 | 1213.971 | |
| 840.0 | Riverside-San Bernardino | 33.95335 | -117.39616 | 2194.298 | 2652.762 | |
| 840.0 | Rochester | 43.156924 | -77.604633 | 732.692 | 830.448 | |
| 840.0 | Rockford | 42.271254 | -89.095727 | 310.856 | 365.559 | |
| 840.0 | Round Lake Beach-McHenry-Grayslake | 42.354045 | -88.100529 | 329.375 | 411.041 | |
| 840.0 | Sacramento | 38.58157 | -121.4944 | 1920.353 | 2293.936 | |
| 840.0 | Salt Lake City | 40.7547 | -111.892622 | 1095.726 | 1284.451 | |
| 840.0 | San Antonio | 29.424113 | -98.493536 | 2029.842 | 2488.403 | |
| 840.0 | San Diego | 32.71533 | -117.15726 | 3107.034 | 3521.974 | |
| 840.0 | San Francisco-Oakland | 37.759881 | -122.437392 | 3300.075 | 3615.239 | |
| 840.0 | San Jose | 37.33939 | -121.89496 | 1729.674 | 1963.794 | |
| 840.0 | Santa Clarita | 34.39166 | -118.54259 | 320.55 | 427.879 | |
| 840.0 | Santa Rosa | 38.44047 | -122.71443 | 320.018 | 373.734 | |
| 840.0 | Sarasota-Bradenton | 27.33643 | -82.53065 | 690.12 | 815.361 | |
| 840.0 | Scranton | 41.410629 | -75.667411 | 378.605 | 426.103 | |
| 840.0 | Seattle | 47.626353 | -122.333144 | 3248.724 | 3708.977 | |
| 840.0 | Shreveport | 32.468003 | -93.771115 | 310.319 | 363.12 | |
| 840.0 | Spokane | 47.673341 | -117.410271 | 417.612 | 499.022 | |
| 840.0 | Springfield, Massachusett, Connecticut | 42.10148 | -72.5898 | 646.013 | 746.258 | |
| 840.0 | Springfield, Missouri | 37.208264 | -93.291368 | 309.615 | 385.966 | |
| 840.0 | St. Louis | 38.628612 | -90.197197 | 2183.942 | 2427.014 | |
| 840.0 | Stockton | 37.9577016 | -121.2907796 | 403.353 | 486.218 | |
| 840.0 | Syracuse | 43.046788 | -76.147496 | 416.583 | 474.454 | |
| 840.0 | Tampa-St. Petersburg | 27.94752 | -82.45843 | 2659.134 | 3104.875 | |
| 840.0 | Temecula-Murrieta | 33.53635 | -117.16305 | 618.801 | 896.208 | |
| 840.0 | The Woodlands | 30.16299 | -95.45577 | 400.096 | 665.681 | |
| 840.0 | Toledo | 41.656529 | -83.549856 | 508.767 | 573.954 | |
| 840.0 | Trenton | 40.2170534 | -74.7429384 | 312.928 | 369.989 | |
| 840.0 | Tucson | 32.214476 | -110.918192 | 912.778 | 1080.604 | |
| 840.0 | Tulsa | 36.131294 | -95.937332 | 710.746 | 846.071 | |
| 840.0 | Victorville-Hesperia-Apple Valley | 34.533991 | -117.295848 | 423.71 | 580.192 | |
| 840.0 | Virginia Beach | 36.834498 | -76.087179 | 1459.945 | 1631.995 | |
| 840.0 | Washington, D.C. | 38.89511 | -77.03637 | 4955.139 | 5689.846 | |
| 840.0 | Wichita | 37.688848 | -97.336226 | 500.273 | 588.082 | |
| 840.0 | Winston-Salem | 36.102764 | -80.260491 | 448.289 | 560.983 | |
| 840.0 | Worcester | 42.262599 | -71.802347 | 517.572 | 610.619 | |
| 840.0 | Youngstown | 41.096258 | -80.649299 | 371.892 | 408.181 | |
| 858.0 | Montevideo | -34.83346 | -56.16735 | 1706.831 | 1860.296 | |
| 860.0 | Andizhan | 40.7830556 | 72.3438889 | 402.299 | 537.378 | |
| 860.0 | Namangan | 40.9983 | 71.67257 | 521.42 | 716.815 | |
| 860.0 | Samarkand | 39.6541667 | 66.9597222 | 363.907 | 464.42 | |
| 860.0 | Tashkent | 41.26465 | 69.21627 | 2251.156 | 2838.539 | |
| 862.0 | Acarigua-Aruare | 9.55451 | -69.19564 | 309.047 | 395.323 | |
| 862.0 | Barcelona-Puerto La Cruz | 10.21667 | -64.61667 | 710.084 | 893.344 | |
| 862.0 | Barinas | 8.62261 | -70.20749 | 333.198 | 439.82 | |
| 862.0 | Barquisimeto | 10.07389 | -69.32278 | 1038.556 | 1228.225 | |
| 862.0 | Cabimas | 10.38828 | -71.43992 | 357.214 | 465.674 | |
| 862.0 | Caracas | 10.48801 | -66.87919 | 2916.183 | 3346.811 | |
| 862.0 | Ciudad Bolivar | 8.12923 | -63.54086 | 385.473 | 486.401 | |
| 862.0 | Ciudad Guayana | 8.35122 | -62.64102 | 695.724 | 841.319 | |
| 862.0 | Cumana | 10.46354 | -64.1775 | 336.46 | 423.423 | |
| 862.0 | El Tigre-San José de Guanipa | 8.88724 | -64.16512 | 367.702 | 509.584 | |
| 862.0 | Guarenas-Guatire | 10.46736 | -66.60663 | 379.472 | 476.167 | |
| 862.0 | Lagunillas | 10.13008 | -71.25946 | 349.567 | 487.344 | |
| 862.0 | Maracaibo | 10.63167 | -71.64056 | 2196.435 | 2676.708 | |
| 862.0 | Maracay | 10.24694 | -67.59583 | 1165.922 | 1449.657 | |
| 862.0 | Maturin | 9.75 | -63.17667 | 558.23 | 751.545 | |
| 862.0 | Merida | 8.59524 | -71.1434 | 324.429 | 403.306 | |
| 862.0 | Punto Fijo | 11.6956 | -70.19957 | 321.191 | 424.587 | |
| 862.0 | San Cristóbal | 7.76694 | -72.225 | 370.572 | 454.577 | |
| 862.0 | Valencia | 10.16202 | -68.00765 | 1733.641 | 2106.92 | |
| 704.0 | Bien Hoa | 10.95 | 106.81667 | 834.29 | 1224.784 | |
| 704.0 | Can Tho | 10.03333 | 105.78333 | 1174.693 | 1901.886 | |
| 704.0 | Da Nang | 16.051264 | 108.212426 | 952.141 | 1365.43 | |
| 704.0 | Hà Noi | 21.0245 | 105.84117 | 3629.493 | 5497.921 | |
| 704.0 | Hai Phòng | 20.86481 | 106.68345 | 1075.499 | 1568.535 | |
| 704.0 | Hue | 16.46667 | 107.6 | 353.916 | 495.441 | |
| 704.0 | Nha Trang | 12.25 | 109.18333 | 312.515 | 413.748 | |
| 704.0 | Thành Pho Ho Chí Minh (Ho Chi Minh City) | 10.75 | 106.66667 | 7297.78 | 10200.392 | |
| 704.0 | Vungtau | 10.34599 | 107.08426 | 351.451 | 512.271 | |
| 887.0 | Adan (Aden) | 12.798803 | 45.035902 | 881.54 | 1438.126 | |
| 887.0 | Al-Hudaydah | 14.79781 | 42.95452 | 568.265 | 902.928 | |
| 887.0 | Al-Mukalla | 14.54248 | 49.12424 | 363.26 | 663.727 | |
| 887.0 | Ibb | 13.96667 | 44.18333 | 451.881 | 844.632 | |
| 887.0 | Sana'a' | 15.353115 | 44.20782 | 2961.934 | 5070.944 | |
| 887.0 | Ta'izz | 13.57952 | 44.02091 | 694.672 | 1132.298 | |
| 894.0 | Kitwe | -12.8166667 | 28.2 | 589.79 | 1117.245 | |
| 894.0 | Lusaka | -15.413374 | 28.277148 | 2179.47 | 4364.817 | |
| 894.0 | Ndola | -12.95867 | 28.63659 | 499.429 | 897.23 | |
| 716.0 | Bulawayo | -20.15 | 28.58333 | 647.704 | 868.091 | |
| 716.0 | Chitungwiza | -18.01274 | 31.07555 | 367.424 | 522.502 | |
| 716.0 | Harare | -17.82935 | 31.05389 | 1501.363 | 2048.423 |
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| <!DOCTYPE html> | |
| <head> | |
| <meta charset="utf-8"> | |
| <script src="https://d3js.org/d3.v4.min.js"></script> | |
| <style> | |
| body { | |
| margin: 0; | |
| position: fixed; | |
| top: 0; | |
| right: 0; | |
| bottom: 0; | |
| left: 0; | |
| font-family: monospace; | |
| } | |
| </style> | |
| </head> | |
| <body> | |
| <script> | |
| const width = 960, | |
| height = 500, | |
| margin = { top: 40, bottom: 40, left: 140, right: 140 }, | |
| scalepop = d3.scaleSqrt().domain([0, 100000]).range([0.2, 34]), | |
| scalecountry = d3.scaleOrdinal(d3.schemeCategory20b), | |
| centerx = d3.scaleLinear() | |
| .range([margin.left, width - margin.right]), | |
| centery = d3.scaleLinear() | |
| .range([margin.top, height - margin.bottom]); | |
| d3.csv('cities.csv', function (cities) { | |
| const data = cities | |
| .sort((a, b) => d3.descending(+a[2015], +b[2015])) | |
| .map((d, i) => { | |
| return { | |
| lon: +d.Longitude, | |
| lat: +d.Latitude, | |
| name: d['Urban Agglomeration'], | |
| r: scalepop(+d[2015]), | |
| color: scalecountry(+d['Country Code']) | |
| }; | |
| }) | |
| .slice(0, 800); | |
| /* | |
| const canvas = d3.select("body").append("canvas") | |
| .attr("width", width) | |
| .attr("height", height); | |
| */ | |
| const svg = d3.select("body").append("svg") | |
| .attr("width", width) | |
| .attr("height", height); | |
| // pos is the array of positions that will be updated by the tsne worker | |
| // start with the geographic coordinates as is (plate-carrée) | |
| // random or [0,0] is fine too | |
| let pos = data.map(d => [d.lon, -d.lat]); | |
| const forcetsne = d3.forceSimulation( | |
| data.map(d => (d.x = width / 2, d.y = height / 2, d)) | |
| ) | |
| .alphaDecay(0.005) | |
| .alpha(0.1) | |
| .force('tsne', function (alpha) { | |
| centerx.domain(d3.extent(pos.map(d => d[0]))); | |
| centery.domain(d3.extent(pos.map(d => d[1]))); | |
| data.forEach((d, i) => { | |
| d.x += alpha * (centerx(pos[i][0]) - d.x); | |
| d.y += alpha * (centery(pos[i][1]) - d.y); | |
| }); | |
| }) | |
| .force('collide', d3.forceCollide().radius(d => 1.5 + d.r)) | |
| .on('tick', function () { | |
| // drawcanvas(canvas, data); | |
| drawsvg(svg, data); | |
| }); | |
| function drawcanvas(canvas, nodes) { | |
| let context = canvas.node().getContext("2d"); | |
| context.clearRect(0, 0, width, width); | |
| for (var i = 0, n = nodes.length; i < n; ++i) { | |
| var node = nodes[i]; | |
| context.beginPath(); | |
| context.moveTo(node.x, node.y); | |
| context.arc(node.x, node.y, node.r, 0, 2 * Math.PI); | |
| context.lineWidth = 0.5; | |
| context.fillStyle = node.color; | |
| context.fill(); | |
| } | |
| } | |
| function drawsvg(svg, nodes) { | |
| const g = svg.selectAll('g.city') | |
| .data(nodes); | |
| var enter = g.enter().append('g').classed('city', true); | |
| enter.append('circle') | |
| .attr('r', d => d.r) | |
| .attr('fill', d => d.color) | |
| .append('title') | |
| .text(d => d.name); | |
| enter | |
| .filter(d => d.r > 7) | |
| .append('text') | |
| .attr('fill', 'white') | |
| .style('font-size', d => d.r > 9 ? '12px' : '9px') | |
| .attr('text-anchor', 'middle') | |
| .attr('dominant-baseline', 'middle') | |
| .attr('pointer-events', 'none') | |
| .text(d => d.name.substring(0,2)); | |
| g.attr('transform', d => `translate(${d.x},${d.y})`); | |
| } | |
| d3.queue() | |
| .defer(d3.text, 'tsne.js') | |
| .defer(d3.text, 'https://unpkg.com/d3-geo') | |
| .defer(d3.text, 'worker.js') | |
| .awaitAll(function (err, scripts) { | |
| const worker = new Worker( | |
| window.URL.createObjectURL( | |
| new Blob(scripts, { | |
| type: "text/javascript" | |
| }) | |
| ) | |
| ); | |
| worker.postMessage({ | |
| maxIter: 10, | |
| dim: 2, | |
| perplexity: 30.0, | |
| data: data | |
| }); | |
| worker.onmessage = function (e) { | |
| if (e.data.log) console.log.apply(this, e.data.log); | |
| if (e.data.pos) pos = e.data.pos; | |
| if (e.data.done && e.data.done < 10000 && e.data.cost > 1e-2) { | |
| worker.postMessage({ | |
| maxIter: e.data.done + 10, | |
| }); | |
| } | |
| }; | |
| }); | |
| }); | |
| </script> | |
| </body> |
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| // create main global object | |
| var tsnejs = tsnejs || { REVISION: 'ALPHA' }; | |
| (function(global) { | |
| "use strict"; | |
| // utility function | |
| var assert = function(condition, message) { | |
| if (!condition) { throw message || "Assertion failed"; } | |
| } | |
| // syntax sugar | |
| var getopt = function(opt, field, defaultval) { | |
| if(opt.hasOwnProperty(field)) { | |
| return opt[field]; | |
| } else { | |
| return defaultval; | |
| } | |
| } | |
| // return 0 mean unit standard deviation random number | |
| var return_v = false; | |
| var v_val = 0.0; | |
| var gaussRandom = function() { | |
| if(return_v) { | |
| return_v = false; | |
| return v_val; | |
| } | |
| var u = 2*Math.random()-1; | |
| var v = 2*Math.random()-1; | |
| var r = u*u + v*v; | |
| if(r == 0 || r > 1) return gaussRandom(); | |
| var c = Math.sqrt(-2*Math.log(r)/r); | |
| v_val = v*c; // cache this for next function call for efficiency | |
| return_v = true; | |
| return u*c; | |
| } | |
| // return random normal number | |
| var randn = function(mu, std){ return mu+gaussRandom()*std; } | |
| // utilitity that creates contiguous vector of zeros of size n | |
| var zeros = function(n) { | |
| if(typeof(n)==='undefined' || isNaN(n)) { return []; } | |
| if(typeof ArrayBuffer === 'undefined') { | |
| // lacking browser support | |
| var arr = new Array(n); | |
| for(var i=0;i<n;i++) { arr[i]= 0; } | |
| return arr; | |
| } else { | |
| return new Float64Array(n); // typed arrays are faster | |
| } | |
| } | |
| // utility that returns 2d array filled with random numbers | |
| // or with value s, if provided | |
| var randn2d = function(n,d,s) { | |
| var uses = typeof s !== 'undefined'; | |
| var x = []; | |
| for(var i=0;i<n;i++) { | |
| var xhere = []; | |
| for(var j=0;j<d;j++) { | |
| if(uses) { | |
| xhere.push(s); | |
| } else { | |
| xhere.push(randn(0.0, 1e-4)); | |
| } | |
| } | |
| x.push(xhere); | |
| } | |
| return x; | |
| } | |
| // compute L2 distance between two vectors | |
| var L2 = function(x1, x2) { | |
| var D = x1.length; | |
| var d = 0; | |
| for(var i=0;i<D;i++) { | |
| var x1i = x1[i]; | |
| var x2i = x2[i]; | |
| d += (x1i-x2i)*(x1i-x2i); | |
| } | |
| return d; | |
| } | |
| // compute pairwise distance in all vectors in X | |
| var xtod = function(X) { | |
| var N = X.length; | |
| var dist = zeros(N * N); // allocate contiguous array | |
| for(var i=0;i<N;i++) { | |
| for(var j=i+1;j<N;j++) { | |
| var d = L2(X[i], X[j]); | |
| dist[i*N+j] = d; | |
| dist[j*N+i] = d; | |
| } | |
| } | |
| return dist; | |
| } | |
| // compute (p_{i|j} + p_{j|i})/(2n) | |
| var d2p = function(D, perplexity, tol) { | |
| var Nf = Math.sqrt(D.length); // this better be an integer | |
| var N = Math.floor(Nf); | |
| assert(N === Nf, "D should have square number of elements."); | |
| var Htarget = Math.log(perplexity); // target entropy of distribution | |
| var P = zeros(N * N); // temporary probability matrix | |
| var prow = zeros(N); // a temporary storage compartment | |
| for(var i=0;i<N;i++) { | |
| var betamin = -Infinity; | |
| var betamax = Infinity; | |
| var beta = 1; // initial value of precision | |
| var done = false; | |
| var maxtries = 50; | |
| // perform binary search to find a suitable precision beta | |
| // so that the entropy of the distribution is appropriate | |
| var num = 0; | |
| while(!done) { | |
| //debugger; | |
| // compute entropy and kernel row with beta precision | |
| var psum = 0.0; | |
| for(var j=0;j<N;j++) { | |
| var pj = Math.exp(- D[i*N+j] * beta); | |
| if(i===j) { pj = 0; } // we dont care about diagonals | |
| prow[j] = pj; | |
| psum += pj; | |
| } | |
| // normalize p and compute entropy | |
| var Hhere = 0.0; | |
| for(var j=0;j<N;j++) { | |
| if(psum == 0) { | |
| var pj = 0; | |
| } else { | |
| var pj = prow[j] / psum; | |
| } | |
| prow[j] = pj; | |
| if(pj > 1e-7) Hhere -= pj * Math.log(pj); | |
| } | |
| // adjust beta based on result | |
| if(Hhere > Htarget) { | |
| // entropy was too high (distribution too diffuse) | |
| // so we need to increase the precision for more peaky distribution | |
| betamin = beta; // move up the bounds | |
| if(betamax === Infinity) { beta = beta * 2; } | |
| else { beta = (beta + betamax) / 2; } | |
| } else { | |
| // converse case. make distrubtion less peaky | |
| betamax = beta; | |
| if(betamin === -Infinity) { beta = beta / 2; } | |
| else { beta = (beta + betamin) / 2; } | |
| } | |
| // stopping conditions: too many tries or got a good precision | |
| num++; | |
| if(Math.abs(Hhere - Htarget) < tol) { done = true; } | |
| if(num >= maxtries) { done = true; } | |
| } | |
| // console.log('data point ' + i + ' gets precision ' + beta + ' after ' + num + ' binary search steps.'); | |
| // copy over the final prow to P at row i | |
| for(var j=0;j<N;j++) { P[i*N+j] = prow[j]; } | |
| } // end loop over examples i | |
| // symmetrize P and normalize it to sum to 1 over all ij | |
| var Pout = zeros(N * N); | |
| var N2 = N*2; | |
| for(var i=0;i<N;i++) { | |
| for(var j=0;j<N;j++) { | |
| Pout[i*N+j] = Math.max((P[i*N+j] + P[j*N+i])/N2, 1e-100); | |
| } | |
| } | |
| return Pout; | |
| } | |
| // helper function | |
| function sign(x) { return x > 0 ? 1 : x < 0 ? -1 : 0; } | |
| var tSNE = function(opt) { | |
| var opt = opt || {}; | |
| this.perplexity = getopt(opt, "perplexity", 30); // effective number of nearest neighbors | |
| this.dim = getopt(opt, "dim", 2); // by default 2-D tSNE | |
| this.epsilon = getopt(opt, "epsilon", 10); // learning rate | |
| this.iter = 0; | |
| } | |
| tSNE.prototype = { | |
| // this function takes a set of high-dimensional points | |
| // and creates matrix P from them using gaussian kernel | |
| initDataRaw: function(X) { | |
| var N = X.length; | |
| var D = X[0].length; | |
| assert(N > 0, " X is empty? You must have some data!"); | |
| assert(D > 0, " X[0] is empty? Where is the data?"); | |
| var dists = xtod(X); // convert X to distances using gaussian kernel | |
| this.P = d2p(dists, this.perplexity, 1e-4); // attach to object | |
| this.N = N; // back up the size of the dataset | |
| this.initSolution(); // refresh this | |
| }, | |
| // this function takes a given distance matrix and creates | |
| // matrix P from them. | |
| // D is assumed to be provided as a list of lists, and should be symmetric | |
| initDataDist: function(D) { | |
| var N = D.length; | |
| assert(N > 0, " X is empty? You must have some data!"); | |
| // convert D to a (fast) typed array version | |
| var dists = zeros(N * N); // allocate contiguous array | |
| for(var i=0;i<N;i++) { | |
| for(var j=i+1;j<N;j++) { | |
| var d = D[i][j]; | |
| dists[i*N+j] = d; | |
| dists[j*N+i] = d; | |
| } | |
| } | |
| this.P = d2p(dists, this.perplexity, 1e-4); | |
| this.N = N; | |
| this.initSolution(); // refresh this | |
| }, | |
| // (re)initializes the solution to random | |
| initSolution: function() { | |
| // generate random solution to t-SNE | |
| this.Y = randn2d(this.N, this.dim); // the solution | |
| this.gains = randn2d(this.N, this.dim, 1.0); // step gains to accelerate progress in unchanging directions | |
| this.ystep = randn2d(this.N, this.dim, 0.0); // momentum accumulator | |
| this.iter = 0; | |
| }, | |
| // return pointer to current solution | |
| getSolution: function() { | |
| return this.Y; | |
| }, | |
| // perform a single step of optimization to improve the embedding | |
| step: function() { | |
| this.iter += 1; | |
| var N = this.N; | |
| var cg = this.costGrad(this.Y); // evaluate gradient | |
| var cost = cg.cost; | |
| var grad = cg.grad; | |
| // perform gradient step | |
| var ymean = zeros(this.dim); | |
| for(var i=0;i<N;i++) { | |
| for(var d=0;d<this.dim;d++) { | |
| var gid = grad[i][d]; | |
| var sid = this.ystep[i][d]; | |
| var gainid = this.gains[i][d]; | |
| // compute gain update | |
| var newgain = sign(gid) === sign(sid) ? gainid * 0.8 : gainid + 0.2; | |
| if(newgain < 0.01) newgain = 0.01; // clamp | |
| this.gains[i][d] = newgain; // store for next turn | |
| // compute momentum step direction | |
| var momval = this.iter < 250 ? 0.5 : 0.8; | |
| var newsid = momval * sid - this.epsilon * newgain * grad[i][d]; | |
| this.ystep[i][d] = newsid; // remember the step we took | |
| // step! | |
| this.Y[i][d] += newsid; | |
| ymean[d] += this.Y[i][d]; // accumulate mean so that we can center later | |
| } | |
| } | |
| // reproject Y to be zero mean | |
| for(var i=0;i<N;i++) { | |
| for(var d=0;d<this.dim;d++) { | |
| this.Y[i][d] -= ymean[d]/N; | |
| } | |
| } | |
| //if(this.iter%100===0) console.log('iter ' + this.iter + ', cost: ' + cost); | |
| return cost; // return current cost | |
| }, | |
| // for debugging: gradient check | |
| debugGrad: function() { | |
| var N = this.N; | |
| var cg = this.costGrad(this.Y); // evaluate gradient | |
| var cost = cg.cost; | |
| var grad = cg.grad; | |
| var e = 1e-5; | |
| for(var i=0;i<N;i++) { | |
| for(var d=0;d<this.dim;d++) { | |
| var yold = this.Y[i][d]; | |
| this.Y[i][d] = yold + e; | |
| var cg0 = this.costGrad(this.Y); | |
| this.Y[i][d] = yold - e; | |
| var cg1 = this.costGrad(this.Y); | |
| var analytic = grad[i][d]; | |
| var numerical = (cg0.cost - cg1.cost) / ( 2 * e ); | |
| console.log(i + ',' + d + ': gradcheck analytic: ' + analytic + ' vs. numerical: ' + numerical); | |
| this.Y[i][d] = yold; | |
| } | |
| } | |
| }, | |
| // return cost and gradient, given an arrangement | |
| costGrad: function(Y) { | |
| var N = this.N; | |
| var dim = this.dim; // dim of output space | |
| var P = this.P; | |
| var pmul = this.iter < 100 ? 4 : 1; // trick that helps with local optima | |
| // compute current Q distribution, unnormalized first | |
| var Qu = zeros(N * N); | |
| var qsum = 0.0; | |
| for(var i=0;i<N;i++) { | |
| for(var j=i+1;j<N;j++) { | |
| var dsum = 0.0; | |
| for(var d=0;d<dim;d++) { | |
| var dhere = Y[i][d] - Y[j][d]; | |
| dsum += dhere * dhere; | |
| } | |
| var qu = 1.0 / (1.0 + dsum); // Student t-distribution | |
| Qu[i*N+j] = qu; | |
| Qu[j*N+i] = qu; | |
| qsum += 2 * qu; | |
| } | |
| } | |
| // normalize Q distribution to sum to 1 | |
| var NN = N*N; | |
| var Q = zeros(NN); | |
| for(var q=0;q<NN;q++) { Q[q] = Math.max(Qu[q] / qsum, 1e-100); } | |
| var cost = 0.0; | |
| var grad = []; | |
| for(var i=0;i<N;i++) { | |
| var gsum = new Array(dim); // init grad for point i | |
| for(var d=0;d<dim;d++) { gsum[d] = 0.0; } | |
| for(var j=0;j<N;j++) { | |
| cost += - P[i*N+j] * Math.log(Q[i*N+j]); // accumulate cost (the non-constant portion at least...) | |
| var premult = 4 * (pmul * P[i*N+j] - Q[i*N+j]) * Qu[i*N+j]; | |
| for(var d=0;d<dim;d++) { | |
| gsum[d] += premult * (Y[i][d] - Y[j][d]); | |
| } | |
| } | |
| grad.push(gsum); | |
| } | |
| return {cost: cost, grad: grad}; | |
| } | |
| } | |
| global.tSNE = tSNE; // export tSNE class | |
| })(tsnejs); | |
| // export the library to window, or to module in nodejs | |
| (function(lib) { | |
| "use strict"; | |
| if (typeof module === "undefined" || typeof module.exports === "undefined") { | |
| if (typeof window == "object") | |
| window.tsnejs = lib; // in ordinary browser attach library to window | |
| } else { | |
| module.exports = lib; // in nodejs | |
| } | |
| })(tsnejs); |
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| // in worker.onmessage add : `if (e.data.log) console.log.apply(this, e.data.log);` | |
| console.log = function() { | |
| self.postMessage({ log: [...arguments] }); | |
| } | |
| function levenshtein(a, b) { | |
| var t = [], u, i, j, m = a.length, n = b.length; | |
| if (!m) { return n; } | |
| if (!n) { return m; } | |
| for (j = 0; j <= n; j++) { t[j] = j; } | |
| for (i = 1; i <= m; i++) { | |
| for (u = [i], j = 1; j <= n; j++) { | |
| u[j] = a[i - 1] === b[j - 1] ? t[j - 1] : Math.min(t[j - 1], t[j], u[j - 1]) + 1; | |
| } t = u; | |
| } return u[n]; | |
| } | |
| let iterations = 0, | |
| model; | |
| self.onmessage = function(e) { | |
| const msg = e.data, | |
| data = msg.data, | |
| maxIter = msg.maxIter || 500, | |
| perplexity = msg.perplexity || 30; | |
| let dists = msg.dist; | |
| if (data && !dists){ | |
| let now = performance.now(); | |
| dists = data.map( | |
| a => data.map( | |
| b => levenshtein(a.name.substring(0,2).toLowerCase(), b.name.substring(0,2).toLowerCase()) | |
| ) | |
| ); | |
| console.log('computed', data.length * data.length,'distances in', Math.round(performance.now()-now),'ms'); | |
| } | |
| if (dists) { | |
| model = new tsnejs.tSNE({ | |
| dim: msg.dim, | |
| perplexity: perplexity, | |
| }); | |
| model.initDataDist(dists); | |
| } | |
| let startpos = model.getSolution().map(d=>d.slice()), | |
| pos; | |
| while (iterations++ < maxIter) { | |
| // every time you call this, solution gets better | |
| model.step(); | |
| pos = model.getSolution(); | |
| // Y is an array of 2-D points that you can plot | |
| self.postMessage({ | |
| iterations: iterations - 1, | |
| pos: pos, | |
| //log: [ 'step', iterations-1 ] | |
| }); | |
| } | |
| let cost = startpos | |
| .map((d,i) => sqdist(d, pos[i])) | |
| .reduce ((a,b) => a + b, 0) / pos.length / Math.max(...pos.map(d => Math.abs(d[0]) + Math.abs(d[1]))); | |
| self.postMessage({ | |
| done: iterations - 1, | |
| cost: cost, | |
| log: [ 'done', iterations - 1, cost ] | |
| }); | |
| }; | |
| function sqdist (a,b) { | |
| let d = [a[0] - b[0], a[1] - b[1]].map(Math.abs); | |
| return Math.max(d[0], d[1]); | |
| } | |
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