Top 50 cities/populated places:
| # | name | population | featureclass | featurecode | countrycodes_alt | admin1code (fipscode) |
admin2code | admin3code | admin4code | elevation (meters above sealevel) |
dem, digital elevation model | modification date |
latitude | longitude | air km to #1 | air km to #2 | air km to #3 | air km to #4 | air km to #5 | closest larger (air km) |
| 1 | Shanghai | 22 315 474 | P | PPLA | 23 | 12 | 2017-07-27 | 31.22222 | 121.45806 | 0 | 7979 | 19657 | 5029 | 12906 | ||||||
| 2 | Istanbul | 14 804 116 | P | PPLA | 34 | 39 | 2017-09-26 | 41.01384 | 28.94966 | 7 979 | 0 | 12254 | 4809 | 11417 | Shanghai (7979) | |||||
| 3 | Buenos Aires | 13 076 300 | P | PPLC | 7 | 31 | 2017-05-28 | -34.61315 | -58.37723 | 19 657 | 12254 | 0 | 14944 | 7397 | Istanbul (12254) | |||||
| 4 | Mumbai | 12 691 836 | P | PPLA | 16 | 8 | 2019-03-29 | 19.07283 | 72.88261 | 5 029 | 4809 | 14944 | 0 | 15646 | Istanbul (4809) | |||||
| 5 | Mexico City | 12 294 193 | P | PPLC | 9 | 2240 | 2019-03-15 | 19.42847 | -99.12766 | 12 906 | 11417 | 7397 | 15646 | 0 | Buenos Aires (7397) | |||||
| 6 | Beijing | 11 716 620 | P | PPLC | 22 | 49 | 2017-06-19 | 39.9075 | 116.39723 | 1 067 | 7049 | 19285 | 4741 | 12452 | Shanghai (1067) | |||||
| 7 | Karachi | 11 624 219 | P | PPLA | 5 | 1174870 | 8 | 2017-05-23 | 24.8608 | 67.0104 | 5 335 | 3935 | 14708 | 883 | 14864 | Mumbai (883) | ||||
| 8 | Tianjin | 11 090 314 | P | PPLA | 28 | 11 | 2017-06-29 | 39.14222 | 117.17667 | 961 | 7151 | 19394 | 4782 | 12480 | Beijing (108) | |||||
| 9 | Guangzhou | 11 071 424 | P | PPLA | 30 | 15 | 2017-06-20 | 23.11667 | 113.25 | 1 211 | 7882 | 18514 | 4198 | 14121 | Shanghai (1211) | |||||
| 10 | Delhi | 10 927 986 | P | PPLA | 7 | 227 | 2017-10-30 | 28.65195 | 77.23149 | 4 240 | 4549 | 15809 | 1152 | 14650 | Karachi (1097) | |||||
| 11 | Moscow | 10 381 222 | P | PPLC | 48 | 144 | 2018-07-21 | 55.75222 | 37.61556 | 6 809 | 1753 | 13482 | 5023 | 10709 | Istanbul (1753) | |||||
| 12 | Shenzhen | 10 358 381 | P | PPLA2 | 30 | 4403 | 4 | 2018-12-06 | 22.54554 | 114.0683 | 1 210 | 7988 | 18499 | 4284 | 14116 | Guangzhou (105) | ||||
| 13 | Dhaka | 10 356 500 | P | PPLC | 81 | 3026 | 302640 | 30264072 | 23 | 2016-11-09 | 23.7104 | 90.40744 | 3 162 | 5951 | 16780 | 1884 | 15106 | Delhi (1423) | ||
| 14 | Seoul | 10 349 312 | P | PPLC | 11 | 38 | 2015-06-04 | 37.566 | 126.9784 | 867 | 7947 | 19452 | 5592 | 12046 | Shanghai (867) | |||||
| 15 | São Paulo | 10 021 295 | P | PPLA | 27 | 3550308 | 769 | 2018-10-30 | -23.5475 | -46.63611 | 18 580 | 10588 | 1674 | 13788 | 7438 | Buenos Aires (1674) | ||||
| 16 | Wuhan | 9 785 388 | P | PPLA | 12 | 4201 | 20 | 2019-02-25 | 30.58333 | 114.26667 | 689 | 7470 | 19212 | 4339 | 13402 | Shanghai (689) | ||||
| 17 | Lagos | 9 000 000 | P | PPLA2 | 5 | 11 | 2017-06-22 | 6.45407 | 3.39467 | 12 228 | 4601 | 7914 | 7624 | 11072 | Istanbul (4601) | |||||
| 18 | Jakarta | 8 540 121 | P | PPLC | 4 | 16 | 2018-03-17 | -6.21462 | 106.84513 | 4 444 | 9458 | 15216 | 4666 | 16858 | Shenzhen (3295) | |||||
| 19 | Tokyo | 8 336 599 | P | PPLC | 40 | 1852083 | 44 | 2017-08-02 | 35.6895 | 139.69171 | 1 758 | 8937 | 18390 | 6720 | 11301 | Seoul (1151) | ||||
| 20 | New York City | 8 175 133 | P | PPL | NY | 10 | 57 | 2019-03-15 | 40.71427 | -74.00597 | 11 849 | 8058 | 8535 | 12531 | 3357 | Mexico City (3357) | ||||
| 21 | Dongguan | 8 000 000 | P | PPLA2 | 30 | 1 | 2019-02-26 | 23.01797 | 113.74866 | 1 187 | 7930 | 18530 | 4249 | 14097 | Guangzhou (52) | |||||
| 22 | Taipei | 7 871 900 | P | PPLC | 4 | TPE | 10 | 2017-09-26 | 25.04776 | 121.53185 | 686 | 8411 | 18967 | 5030 | 13395 | Shanghai (686) | ||||
| 23 | Kinshasa | 7 785 965 | P | PPLC | 6 | 281 | 2016-10-27 | -4.32758 | 15.31357 | 11 794 | 5229 | 8243 | 6817 | 12736 | Lagos (1787) | |||||
| 24 | Lima | 7 737 002 | P | PPLC | LMA | 152 | 2010-12-02 | -12.04318 | -77.02824 | 17 170 | 12221 | 3137 | 16718 | 4258 | Buenos Aires (3137) | |||||
| 25 | Cairo | 7 734 614 | P | PPLC | 11 | 23 | 2015-06-03 | 30.06263 | 31.24967 | 8 346 | 1234 | 11826 | 4356 | 12364 | Istanbul (1234) | |||||
| 26 | Bogotá | 7 674 366 | P | PPLC | 34 | 11001 | 2582 | 2016-12-28 | 4.60971 | -74.08175 | 15 704 | 10751 | 4662 | 15548 | 3176 | Lima (1881) | ||||
| 27 | London | 7 556 900 | P | PPLC | ENG | GLA | 25 | 2016-09-14 | 51.50853 | -0.12574 | 9 186 | 2495 | 11135 | 7186 | 8921 | Istanbul (2495) | ||||
| 28 | Chongqing | 7 457 600 | P | PPLA | 33 | 225 | 2018-09-04 | 29.56278 | 106.55278 | 1 439 | 6922 | 18508 | 3589 | 13907 | Wuhan (750) | |||||
| 29 | Chengdu | 7 415 590 | P | PPLA | 32 | 499 | 2019-02-26 | 30.66667 | 104.06667 | 1 657 | 6655 | 18334 | 3384 | 13913 | Chongqing (268) | |||||
| 30 | Baghdad | 7 216 000 | P | PPLC | 7 | 9166668 | 41 | 2016-06-22 | 33.34058 | 44.40088 | 7 065 | 1607 | 13097 | 3236 | 12981 | Cairo (1294) | ||||
| 31 | Nanjing | 7 165 292 | P | PPLA | 4 | 22 | 2017-06-20 | 32.06167 | 118.77778 | 270 | 7720 | 19647 | 4784 | 13005 | Shanghai (270) | |||||
| 32 | Tehran | 7 153 309 | P | PPLC | 26 | 1178 | 2015-10-03 | 35.69439 | 51.42151 | 6 371 | 2038 | 13792 | 2798 | 13139 | Baghdad (693) | |||||
| 33 | Nanchong | 7 150 000 | P | PPLA3 | 32 | 287 | 2012-01-18 | 30.79508 | 106.08473 | 1 463 | 6809 | 18521 | 3574 | 13810 | Chongqing (144) | |||||
| 34 | Hong Kong | 7 012 738 | P | PPLC | HCW | 60 | 2017-05-23 | 22.27832 | 114.17469 | 1 228 | 8015 | 18477 | 4297 | 14132 | Shenzhen (31) | |||||
| 35 | Xi’an | 6 501 190 | P | PPLA | 26 | 416 | 2019-02-26 | 34.25833 | 108.92861 | 1 217 | 6826 | 18871 | 3930 | 13342 | Nanchong (468) | |||||
| 36 | Lahore | 6 310 888 | P | PPLA | 4 | 216 | 2017-04-06 | 31.558 | 74.35071 | 4 432 | 4149 | 15654 | 1395 | 14298 | Delhi (425) | |||||
| 37 | Shenyang | 6 255 921 | P | PPLA | 19 | 2101 | 53 | 2018-12-06 | 41.79222 | 123.43278 | 1 187 | 7423 | 19218 | 5365 | 11916 | Seoul (558) | ||||
| 38 | Hangzhou | 6 241 971 | P | PPLA | 2 | 12 | 2019-02-26 | 30.29365 | 120.16142 | 161 | 7944 | 19535 | 4899 | 13066 | Shanghai (161) | |||||
| 39 | Rio de Janeiro | 6 023 699 | P | PPLA | 21 | 3304557 | 6 | 2017-12-22 | -22.90642 | -43.18223 | 18 253 | 10282 | 1966 | 13428 | 7689 | São Paulo (359) | ||||
| 40 | Harbin | 5 878 939 | P | PPLA | 8 | 140 | 2019-02-26 | 45.75 | 126.65 | 1 674 | 7380 | 18720 | 5711 | 11417 | Shenyang (509) | |||||
| 41 | Tai’an | 5 499 000 | P | PPL | 25 | 143 | 2012-01-18 | 36.18528 | 117.12 | 681 | 7330 | 19592 | 4703 | 12745 | Tianjin (328) | |||||
| 42 | Suzhou | 5 345 961 | P | PPLA2 | 4 | 10 | 2018-12-14 | 31.30408 | 120.59538 | 82 | 7908 | 19654 | 4947 | 12955 | Shanghai (82) | |||||
| 43 | Shantou | 5 329 024 | P | PPLA2 | 30 | 17 | 2018-07-23 | 23.36814 | 116.71479 | 990 | 8145 | 18691 | 4551 | 13868 | Shenzhen (285) | |||||
| 44 | Bangkok | 5 104 476 | P | PPLC | 40 | 12 | 2017-03-29 | 13.75398 | 100.50144 | 2 888 | 7466 | 16880 | 3001 | 15747 | Dhaka (1533) | |||||
| 45 | Bengaluru | 5 104 047 | P | PPLA | 19 | 572 | 920 | 914 | 2017-06-22 | 12.97194 | 77.59369 | 4 911 | 5637 | 14991 | 844 | 16397 | Mumbai (844) | |||
| 46 | Saint Petersburg | 5 028 000 | P | PPLA | 66 | 11 | 2019-02-10 | 59.93863 | 30.31413 | 7 095 | 2103 | 13218 | 5647 | 10075 | Moscow (633) | |||||
| 47 | Santiago | 4 837 295 | P | PPLC | 12 | 131 | 13101 | 556 | 2016-07-05 | -33.45694 | -70.64827 | 18 871 | 13113 | 1136 | 16080 | 6615 | Buenos Aires (1136) | |||
| 48 | Kolkata | 4 631 392 | P | PPLA | 28 | 342 | 11 | 2019-02-25 | 22.56263 | 88.36304 | 3 404 | 5853 | 16535 | 1654 | 15274 | Dhaka (244) | ||||
| 49 | Sydney | 4 627 345 | P | PPLA | 2 | 17200 | 58 | 2016-07-08 | -33.86785 | 151.20732 | 7 889 | 14962 | 11791 | 10162 | 12982 | Jakarta (5495) | ||||
| 50 | Yangon | 4 477 638 | P | PPLA | 17 | MMR013D004 | MMR013044 | 30 | 2016-06-01 | 16.80528 | 96.15611 | 3 015 | 6889 | 16812 | 2473 | 15654 | Bangkok (576) |