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Statistics for All 1M Cities by Proximity in 20 Seconds
Click here to take the quiz!
General Stats
- This quiz has been taken 522 times
- The average score is 229 of 569
Answers on the Map
Answers color-coded by a green-red scale on the quiz's map according to % correct below.
Answer Stats
| Country | latitude | longitude | # | nearby 1M | Pop | City | % Correct |
|---|---|---|---|---|---|---|---|
| United States | 42.87997825 | -78.88000208 | 23 | Toronto, Cleveland, Pittsburgh, Harrisburg, Detroit… | 1,350,000 | Buffalo | 87%
|
| United States | 41.4699868 | -81.69499821 | 26 | Detroit, Pittsburgh, Columbus, Buffalo, Toronto… | 3,050,000 | Cleveland | 87%
|
| United States | 42.32996014 | -83.08005579 | 27 | Cleveland, Columbus, Pittsburgh, Toronto, Buffalo… | 5,700,000 | Detroit | 87%
|
| United States | 40.27359987 | -76.88474919 | 25 | Philadelphia, Washington, New York, Pittsburgh, Richmond… | 1,320,000 | Harrisburg | 87%
|
| France | 45.77000856 | 4.830030475 | 35 | Turin, Marseille, Zurich, Milan, Toulouse… | 1,980,000 | Lyon | 87%
|
| United States | 40.4299986 | -79.99998539 | 26 | Cleveland, Columbus, Harrisburg, Buffalo, Washington… | 2,050,000 | Pittsburgh | 87%
|
| Canada | 43.69997988 | -79.42002079 | 23 | Buffalo, Cleveland, Detroit, Ottawa, Pittsburgh… | 7,300,000 | Toronto | 87%
|
| United States | 38.89954938 | -77.00941858 | 24 | Harrisburg, Richmond, Philadelphia, Virginia Beach, Pittsburgh… | 8,500,000 | Washington | 87%
|
| Germany | 50.09997683 | 8.67501542 | 38 | Mannheim, Stuttgart, Cologne / Dusseldorf, Nuremberg, The Ruhr… | 3,225,000 | Frankfurt | 86%
|
| Germany | 49.50037518 | 8.470015013 | 38 | Frankfurt, Stuttgart, Nuremberg, Cologne / Dusseldorf, Zurich… | 1,570,000 | Mannheim | 86%
|
| Germany | 48.77997988 | 9.199996296 | 40 | Mannheim, Frankfurt, Nuremberg, Zurich, Munich… | 2,375,000 | Stuttgart | 86%
|
| Germany | 52.52181866 | 13.40154862 | 30 | Hanover, Hamburg, Prague, Copenhagen, Nuremberg… | 4,625,000 | Berlin | 85%
|
| Germany | 50.93000368 | 6.950004434 | 39 | The Ruhr, Frankfurt, Antwerp, Brussels, Mannheim… | 4,975,000 | Cologne / Dusseldorf | 85%
|
| United States | 39.97997438 | -82.9900096 | 26 | Cincinnati, Cleveland, Pittsburgh, Detroit, Indianapolis… | 1,700,000 | Columbus | 85%
|
| Germany | 53.55002464 | 9.999999144 | 37 | Hanover, Berlin, Copenhagen, The Ruhr, Cologne / Dusseldorf… | 2,825,000 | Hamburg | 85%
|
| Germany | 52.36697023 | 9.716657266 | 37 | Hamburg, The Ruhr, Cologne / Dusseldorf, Berlin, Frankfurt… | 1,150,000 | Hanover | 85%
|
| Italy | 45.4699752 | 9.20500891 | 33 | Turin, Zurich, Lyon, Munich, Stuttgart… | 5,150,000 | Milan | 85%
|
| Germany | 48.12994204 | 11.57499345 | 32 | Nuremberg, Stuttgart, Zurich, Mannheim, Prague… | 2,250,000 | Munich | 85%
|
| Germany | 49.44999066 | 11.0799849 | 35 | Munich, Stuttgart, Frankfurt, Mannheim, Prague… | 1,190,000 | Nuremberg | 85%
|
| Germany | 51.53 | 7.04 | 40 | Cologne / Dusseldorf, Amsterdam, Rotterdam, Antwerp, Frankfurt… | 5,700,000 | The Ruhr | 85%
|
| France | 43.60426 | 1.44367 | 29 | Bordeaux, Barcelona, Marseille, Lyon, Valencia… | 1,030,000 | Toulouse | 85%
|
| Italy | 45.07038719 | 7.669960489 | 32 | Milan, Lyon, Zurich, Marseille, Stuttgart… | 1,660,000 | Turin | 85%
|
| Switzerland | 47.37998781 | 8.55001013 | 36 | Stuttgart, Milan, Mannheim, Munich, Turin… | 1,400,000 | Zurich | 85%
|
| France | 44.85001304 | -0.595013063 | 32 | Toulouse, Lyon, Barcelona, Paris, Marseille… | 1,050,000 | Bordeaux | 84%
|
| United States | 35.20499453 | -80.83003809 | 27 | Greensboro, Raleigh, Atlanta, Richmond, Virginia Beach… | 2,375,000 | Charlotte | 84%
|
| United States | 39.16188479 | -84.45692265 | 25 | Louisville, Columbus, Indianapolis, Cleveland, Detroit… | 2,750,000 | Cincinnati | 84%
|
| United States | 36.07000633 | -79.80002344 | 27 | Raleigh, Charlotte, Richmond, Virginia Beach, Washington… | 1,110,000 | Greensboro | 84%
|
| China | 32.01999514 | 112.1300443 | 85 | Nanyang, Yichang, Jingzhou, Wuhan, Luoyang… | 1,760,000 | Xiangyang | 84%
|
| Netherlands | 52.34996869 | 4.916640176 | 35 | Rotterdam, Antwerp, The Ruhr, Brussels, Cologne / Dusseldorf… | 2,425,000 | Amsterdam | 83%
|
| Belgium | 51.22037355 | 4.415017048 | 36 | Brussels, Rotterdam, Lille, Amsterdam, Cologne / Dusseldorf… | 1,030,000 | Antwerp | 83%
|
| Belgium | 50.83331708 | 4.333316608 | 36 | Antwerp, Lille, Rotterdam, Amsterdam, Cologne / Dusseldorf… | 2,050,000 | Brussels | 83%
|
| China | 31.77998395 | 119.9699792 | 86 | Jiangyin, Wuxi, Zhenjiang, Taizhou, Changshu… | 2,725,000 | Changzhou | 83%
|
| China | 31.93 | 120.3 | 86 | Changzhou, Wuxi, Nantong, Taizhou, Changshu… | 2,450,000 | Jiangyin | 83%
|
| France | 50.64996909 | 3.080008096 | 35 | Brussels, Antwerp, Rotterdam, Paris, Amsterdam… | 1,290,000 | Lille | 83%
|
| United Kingdom | 51.49999473 | -0.116721844 | 33 | Southampton, Birmingham, Nottingham, Sheffield, Lille… | 14,600,000 | London | 83%
|
| China | 32.05001914 | 118.7799743 | 82 | Ma'anshan, Zhenjiang, Yangzhou, Wuhu, Taizhou… | 6,600,000 | Nanjing | 83%
|
| China | 32.0303821 | 120.8250175 | 86 | Jiangyin, Wuxi, Changshu, Changzhou, Taizhou… | 1,970,000 | Nantong | 83%
|
| France | 48.86669293 | 2.333335326 | 35 | Lille, Brussels, Antwerp, London, Southampton… | 11,300,000 | Paris | 83%
|
| Netherlands | 51.9199691 | 4.479974323 | 37 | Amsterdam, Antwerp, Brussels, Lille, The Ruhr… | 3,200,000 | Rotterdam | 83%
|
| China | 32.4904057 | 119.9000093 | 85 | Yangzhou, Zhenjiang, Jiangyin, Changzhou, Nantong… | 2,225,000 | Taizhou | 83%
|
| China | 31.57999615 | 120.2999849 | 88 | Changzhou, Jiangyin, Changshu, Nantong, Taizhou… | 3,175,000 | Wuxi | 83%
|
| China | 32.39999778 | 119.4300122 | 84 | Zhenjiang, Taizhou, Nanjing, Changzhou, Jiangyin… | 1,850,000 | Yangzhou | 83%
|
| China | 32.21998293 | 119.4300122 | 84 | Yangzhou, Taizhou, Nanjing, Changzhou, Jiangyin… | 1,110,000 | Zhenjiang | 83%
|
| United States | 42.32996014 | -71.07001367 | 15 | Hartford, New York, Montreal, Philadelphia, Ottawa… | 7,600,000 | Boston | 82%
|
| United States | 41.77002016 | -72.67996708 | 17 | Boston, New York, Philadelphia, Harrisburg, Montreal… | 1,690,000 | Hartford | 82%
|
| China | 33.58000327 | 119.0299849 | 88 | Suqian, Yancheng, Lianyungang, Yangzhou, Taizhou… | 1,920,000 | Huai'an | 82%
|
| China | 36.67498232 | 116.9950187 | 77 | Tai'an, Zibo, Jining, Tengzhou, Weifang… | 4,150,000 | Jinan | 82%
|
| China | 35.405 | 116.58139 | 84 | Tengzhou, Tai'an, Xuzhou, Jinan, Huaibei… | 1,160,000 | Jining | 82%
|
| China | 34.60043194 | 119.170028 | 85 | Linyi, Rizhao, Suqian, Huai'an, Yancheng… | 1,120,000 | Lianyungang | 82%
|
| China | 35.07998924 | 118.329976 | 85 | Lianyungang, Tengzhou, Rizhao, Suqian, Xuzhou… | 1,950,000 | Linyi | 82%
|
| Canada | 45.49999921 | -73.58329696 | 15 | Ottawa, Boston, Hartford, Toronto, Buffalo… | 4,200,000 | Montreal | 82%
|
| United States | 40.74997906 | -73.98001693 | 19 | Philadelphia, Hartford, Harrisburg, Boston, Washington… | 22,200,000 | New York | 82%
|
| Canada | 45.4166968 | -75.7000153 | 15 | Montreal, Toronto, Buffalo, Hartford, Boston… | 1,220,000 | Ottawa | 82%
|
| United States | 39.99997316 | -75.16999597 | 21 | New York, Harrisburg, Washington, Hartford, Richmond… | 7,350,000 | Philadelphia | 82%
|
| North Korea | 39.0194387 | 125.7546907 | 60 | Seoul, Benxi, Daejeon, Anshan, Yingkou… | 2,875,000 | Pyongyang | 82%
|
| China | 36.08997927 | 120.3300089 | 80 | Rizhao, Weifang, Yantai, Lianyungang, Linyi… | 5,900,000 | Qingdao | 82%
|
| United States | 37.55001935 | -77.449986 | 24 | Virginia Beach, Washington, Raleigh, Greensboro, Harrisburg… | 1,050,000 | Richmond | 82%
|
| China | 35.43038129 | 119.4500109 | 79 | Lianyungang, Qingdao, Linyi, Weifang, Suqian… | 1,150,000 | Rizhao | 82%
|
| South Korea | 37.5663491 | 126.999731 | 56 | Daejeon, Pyongyang, Daegu, Gwangju, Changwon… | 24,600,000 | Seoul | 82%
|
| China | 33.965778 | 118.279199 | 89 | Huai'an, Xuzhou, Lianyungang, Linyi, Suzhou… | 1,010,000 | Suqian | 82%
|
| China | 36.19999839 | 117.1200756 | 80 | Jinan, Jining, Zibo, Tengzhou, Linyi… | 1,370,000 | Tai'an | 82%
|
| China | 35.098576 | 117.169269 | 83 | Jining, Xuzhou, Linyi, Tai'an, Huaibei… | 1,000,000 | Tengzhou | 82%
|
| China | 39.13002626 | 117.2000191 | 70 | Tangshan, Beijing, Baoding, Qinhuangdao, Shijiazhuang… | 12,700,000 | Tianjin | 82%
|
| United States | 36.85321433 | -75.97831873 | 24 | Richmond, Washington, Raleigh, Greensboro, Philadelphia… | 1,620,000 | Virginia Beach | 82%
|
| China | 36.7204059 | 119.1001098 | 80 | Zibo, Qingdao, Rizhao, Tai'an, Jinan… | 1,880,000 | Weifang | 82%
|
| China | 34.28001223 | 117.1800203 | 88 | Huaibei, Suzhou, Tengzhou, Suqian, Jining… | 2,725,000 | Xuzhou | 82%
|
| China | 33.3855556 | 120.1252778 | 89 | Taizhou, Huai'an, Yangzhou, Zhenjiang, Lianyungang… | 1,380,000 | Yancheng | 82%
|
| China | 36.79998761 | 118.049993 | 77 | Weifang, Jinan, Tai'an, Linyi, Rizhao… | 3,400,000 | Zibo | 82%
|
| China | 32.94999005 | 117.330037 | 82 | Huainan, Suzhou, Hefei, Huaibei, Fuyang… | 1,380,000 | Bengbu | 81%
|
| China | 38.92283839 | 121.6298308 | 75 | Yantai, Weihai, Yingkou, Qinhuangdao, Jinzhou… | 4,500,000 | Dalian | 81%
|
| China | 32.889124 | 115.821081 | 80 | Huainan, Suzhou, Bengbu, Huaibei, Hefei… | 1,000,000 | Fuyang | 81%
|
| China | 31.85003135 | 117.2800142 | 82 | Huainan, Ma'anshan, Wuhu, Bengbu, Nanjing… | 4,675,000 | Hefei | 81%
|
| China | 32.62998374 | 116.9799808 | 79 | Bengbu, Hefei, Fuyang, Suzhou, Huaibei… | 1,950,000 | Huainan | 81%
|
| China | 35.2500047 | 113.2200036 | 82 | Xinxiang, Zhengzhou, Luoyang, Kaifeng, Anyang… | 1,530,000 | Jiaozuo | 81%
|
| China | 34.67998781 | 112.4700752 | 81 | Jiaozuo, Zhengzhou, Xinxiang, Kaifeng, Nanyang… | 2,125,000 | Luoyang | 81%
|
| China | 31.73040041 | 118.4800443 | 80 | Wuhu, Nanjing, Zhenjiang, Hefei, Yangzhou… | 1,130,000 | Ma'anshan | 81%
|
| China | 33.00040041 | 112.5300199 | 84 | Xiangyang, Luoyang, Zhengzhou, Jiaozuo, Kaifeng… | 1,110,000 | Nanyang | 81%
|
| United Kingdom | 52.97034426 | -1.170016725 | 29 | Sheffield, Birmingham, Manchester, Leeds, Liverpool… | 1,370,000 | Nottingham | 81%
|
| China | 39.93036501 | 119.6200264 | 73 | Tangshan, Jinzhou, Dalian, Tianjin, Yingkou… | 1,220,000 | Qinhuangdao | 81%
|
| United States | 35.81878135 | -78.64469344 | 25 | Greensboro, Charlotte, Richmond, Virginia Beach, Washington… | 1,590,000 | Raleigh | 81%
|
| China | 39.62433718 | 118.194377 | 69 | Tianjin, Qinhuangdao, Beijing, Baoding, Jinzhou… | 2,700,000 | Tangshan | 81%
|
| China | 37.512827 | 122.125546 | 77 | Yantai, Dalian, Qingdao, Weifang, Rizhao… | 1,160,000 | Weihai | 81%
|
| China | 31.3504236 | 118.3699735 | 82 | Ma'anshan, Nanjing, Hefei, Zhenjiang, Yangzhou… | 1,350,000 | Wuhu | 81%
|
| China | 37.53040814 | 121.4000211 | 76 | Weihai, Dalian, Qingdao, Weifang, Rizhao… | 2,125,000 | Yantai | 81%
|
| China | 36.09944 | 114.32889 | 78 | Handan, Xinxiang, Xingtai, Jiaozuo, Kaifeng… | 1,080,000 | Anyang | 80%
|
| China | 36.5799752 | 114.4799784 | 79 | Xingtai, Anyang, Xinxiang, Shijiazhuang, Jiaozuo… | 1,480,000 | Handan | 80%
|
| China | 33.95036826 | 116.7500207 | 84 | Suzhou, Xuzhou, Bengbu, Tengzhou, Suqian… | 1,420,000 | Huaibei | 80%
|
| China | 34.85000327 | 114.3500122 | 83 | Zhengzhou, Xinxiang, Jiaozuo, Anyang, Luoyang… | 1,230,000 | Kaifeng | 80%
|
| China | 38.05001467 | 114.4799784 | 70 | Xingtai, Baoding, Handan, Taiyuan, Anyang… | 4,225,000 | Shijiazhuang | 80%
|
| China | 33.648453 | 116.962201 | 83 | Huaibei, Xuzhou, Bengbu, Huainan, Suqian… | 1,000,000 | Suzhou | 80%
|
| China | 37.04997235 | 114.5000288 | 74 | Handan, Anyang, Shijiazhuang, Taiyuan, Xinxiang… | 1,410,000 | Xingtai | 80%
|
| China | 35.32043968 | 113.8699898 | 81 | Jiaozuo, Zhengzhou, Kaifeng, Anyang, Luoyang… | 1,410,000 | Xinxiang | 80%
|
| China | 34.75499615 | 113.6650927 | 83 | Kaifeng, Xinxiang, Jiaozuo, Luoyang, Anyang… | 5,400,000 | Zhengzhou | 80%
|
| United Kingdom | 55.87440472 | -4.250707236 | 21 | Newcastle, Leeds, Liverpool, Manchester, Dublin… | 1,660,000 | Glasgow | 79%
|
| United Kingdom | 55.00037539 | -1.59999048 | 24 | Leeds, Manchester, Sheffield, Glasgow, Liverpool… | 1,470,000 | Newcastle | 79%
|
| United Kingdom | 50.90003135 | -1.399976849 | 32 | London, Birmingham, Nottingham, Sheffield, Manchester… | 1,160,000 | Southampton | 79%
|
| United Kingdom | 52.47497398 | -1.919996787 | 27 | Nottingham, Sheffield, Manchester, Liverpool, Leeds… | 3,100,000 | Birmingham | 78%
|
| Ireland | 53.33306114 | -6.248905682 | 18 | Liverpool, Manchester, Birmingham, Glasgow, Leeds… | 1,370,000 | Dublin | 78%
|
| United Kingdom | 53.83000755 | -1.580017539 | 24 | Sheffield, Manchester, Nottingham, Liverpool, Newcastle… | 2,150,000 | Leeds | 78%
|
| United Kingdom | 53.41600181 | -2.917997886 | 24 | Manchester, Sheffield, Leeds, Birmingham, Nottingham… | 1,860,000 | Liverpool | 78%
|
| United Kingdom | 53.50041526 | -2.247987103 | 26 | Liverpool, Sheffield, Leeds, Nottingham, Birmingham… | 3,025,000 | Manchester | 78%
|
| United Kingdom | 53.36667666 | -1.499996583 | 28 | Nottingham, Leeds, Manchester, Liverpool, Birmingham… | 1,550,000 | Sheffield | 78%
|
| South Korea | 35.09505292 | 129.0100476 | 49 | Changwon, Ulsan, Daegu, Gwangju, Daejeon… | 4,175,000 | Busan | 73%
|
| Japan | 33.59501528 | 130.4100138 | 33 | Kitakyushu, Kumamoto, Hiroshima, Busan, Ulsan… | 2,700,000 | Fukuoka | 73%
|
| Japan | 33.87039899 | 130.8200146 | 29 | Fukuoka, Kumamoto, Hiroshima, Busan, Ulsan… | 2,050,000 | Kitakyushu | 73%
|
| Japan | 32.80092938 | 130.700642 | 29 | Fukuoka, Kitakyushu, Hiroshima, Busan, Ulsan… | 1,160,000 | Kumamoto | 73%
|
| South Korea | 35.54673077 | 129.3169539 | 47 | Busan, Daegu, Changwon, Daejeon, Gwangju… | 1,120,000 | Ulsan | 73%
|
| India | 21.2166667 | 81.4333333 | 40 | Nagpur, Jabalpur, Vishakhapatnam, Ranchi, Bhubaneswar… | 2,725,000 | Bhilai | 72%
|
| China | 29.033824 | 111.699599 | 81 | Jingzhou, Changsha, Xiangtan, Yichang, Zhuzhou… | 1,110,000 | Changde | 72%
|
| China | 28.19996991 | 112.969993 | 83 | Xiangtan, Zhuzhou, Pingxiang, Hengyang, Changde… | 4,550,000 | Changsha | 72%
|
| China | 26.88002464 | 112.5900162 | 75 | Xiangtan, Zhuzhou, Shaoyang, Pingxiang, Changsha… | 1,710,000 | Hengyang | 72%
|
| China | 30.337345 | 112.233234 | 85 | Yichang, Changde, Xiangyang, Wuhan, Changsha… | 1,120,000 | Jingzhou | 72%
|
| India | 26.29176597 | 73.01677283 | 40 | Jaipur, Kotā, Ahmedabad, Vadodara, Multan… | 1,400,000 | Jodhpur | 72%
|
| China | 27.85043052 | 112.9000232 | 81 | Zhuzhou, Changsha, Pingxiang, Hengyang, Shaoyang… | 1,460,000 | Xiangtan | 72%
|
| China | 30.69997235 | 111.2800187 | 86 | Jingzhou, Xiangyang, Changde, Wanzhou, Nanyang… | 1,250,000 | Yichang | 72%
|
| China | 27.82999249 | 113.1500337 | 81 | Xiangtan, Changsha, Pingxiang, Hengyang, Shaoyang… | 1,190,000 | Zhuzhou | 72%
|
| India | 23.03005292 | 72.58000362 | 38 | Vadodara, Rajkot, Surat, Indore, Nashik… | 8,000,000 | Ahmedabad | 71%
|
| India | 19.89569643 | 75.32030147 | 36 | Nashik, Pune, Solapur, Mumbai, Surat… | 1,700,000 | Aurangabad | 71%
|
| India | 23.24998781 | 77.40999304 | 46 | Indore, Jabalpur, Kotā, Nagpur, Gwalior… | 2,300,000 | Bhopal | 71%
|
| India | 26.2299868 | 78.18007523 | 45 | Agra, Alīgarh, Kanpur, Jaipur, Kotā… | 1,350,000 | Gwalior | 71%
|
| Pakistan | 25.379987 | 68.37498897 | 25 | Karachi, Rajkot, Jodhpur, Ahmedabad, Quetta… | 2,150,000 | Hyderabad | 71%
|
| India | 22.71505922 | 75.86502274 | 41 | Bhopal, Kotā, Vadodara, Aurangabad, Ahmedabad… | 3,025,000 | Indore | 71%
|
| India | 23.17505699 | 79.95505733 | 41 | Nagpur, Bhopal, Bhilai, Allahabad, Kanpur… | 1,440,000 | Jabalpur | 71%
|
| India | 26.92113324 | 75.80998734 | 42 | Kotā, Agra, New Delhi, Alīgarh, Gwalior… | 3,750,000 | Jaipur | 71%
|
| India | 25.17999921 | 75.83499874 | 43 | Jaipur, Gwalior, Bhopal, Indore, Jodhpur… | 1,300,000 | Kotā | 71%
|
| India | 21.16995974 | 79.08999385 | 41 | Jabalpur, Bhilai, Bhopal, Indore, Aurangabad… | 3,150,000 | Nagpur | 71%
|
| China | 28.67999229 | 115.8799963 | 83 | Pingxiang, Wuhan, Zhuzhou, Changsha, Xiangtan… | 4,075,000 | Nanchang | 71%
|
| China | 27.625711 | 113.851266 | 81 | Zhuzhou, Xiangtan, Changsha, Hengyang, Ganzhou… | 1,030,000 | Pingxiang | 71%
|
| India | 22.31001935 | 70.80000891 | 25 | Ahmedabad, Surat, Vadodara, Nashik, Hyderabad… | 1,770,000 | Rajkot | 71%
|
| India | 21.19998374 | 72.84003943 | 27 | Vadodara, Nashik, Ahmedabad, Mumbai, Rajkot… | 6,300,000 | Surat | 71%
|
| India | 22.31001935 | 73.18001868 | 33 | Ahmedabad, Surat, Rajkot, Nashik, Indore… | 2,125,000 | Vadodara | 71%
|
| China | 30.58003135 | 114.270017 | 86 | Jingzhou, Xiangyang, Nanchang, Yichang, Changsha… | 8,700,000 | Wuhan | 71%
|
| India | 25.45499534 | 81.84000688 | 40 | Varanasi, Lucknow, Kanpur, Jabalpur, Patna… | 1,420,000 | Allahabad | 70%
|
| China | 39.92889223 | 116.3882857 | 65 | Tianjin, Baoding, Tangshan, Zhangjiakou, Datong… | 20,000,000 | Beijing | 70%
|
| Nepal | 27.71669191 | 85.31664221 | 30 | Patna, Varanasi, Allahabad, Lucknow, Dhanbad… | 2,950,000 | Kathmandu | 70%
|
| India | 25.62495913 | 85.13003861 | 31 | Varanasi, Kathmandu, Dhanbad, Ranchi, Āsansol… | 2,575,000 | Patna | 70%
|
| India | 25.32999005 | 83.00003943 | 35 | Allahabad, Patna, Lucknow, Kanpur, Ranchi… | 1,860,000 | Varanasi | 70%
|
| China | 25.834555 | 114.93228 | 65 | Pingxiang, Hengyang, Zhuzhou, Xiangtan, Qingyuan… | 1,330,000 | Ganzhou | 69%
|
| India | 26.4599986 | 80.3199963 | 40 | Lucknow, Allahabad, Gwalior, Bareilly, Agra… | 3,375,000 | Kanpur | 69%
|
| Taiwan | 22.63330711 | 120.2666019 | 33 | Tainan, Taichung, Taipei, Xiamen, Putian… | 2,800,000 | Kaohsiung | 69%
|
| India | 26.85503908 | 80.91499874 | 39 | Kanpur, Allahabad, Bareilly, Varanasi, Gwalior… | 3,525,000 | Lucknow | 69%
|
| China | 23.37000633 | 116.6700256 | 45 | Xiamen, Huizhou, Hong Kong, Ganzhou, Putian… | 7,700,000 | Shantou | 69%
|
| Taiwan | 23.00000307 | 120.2000427 | 37 | Kaohsiung, Taichung, Taipei, Xiamen, Putian… | 1,300,000 | Tainan | 69%
|
| China | 34.27502545 | 108.8949963 | 63 | Baoji, Luoyang, Nanyang, Wanzhou, Xiangyang… | 6,750,000 | Xi'an | 69%
|
| India | 27.17042035 | 78.01502071 | 42 | Alīgarh, Gwalior, New Delhi, Bareilly, Morādābād… | 2,175,000 | Agra | 68%
|
| India | 27.89221092 | 78.06178788 | 40 | Agra, New Delhi, Morādābād, Meerut, Bareilly… | 1,170,000 | Alīgarh | 68%
|
| India | 31.63999249 | 74.86999304 | 29 | Lahore, Jalandhar, Gujranwala, Ludhiana, Faisalabad… | 1,350,000 | Amritsar | 68%
|
| China | 41.11502138 | 122.9400305 | 51 | Benxi, Yingkou, Shenyang, Jinzhou, Dalian… | 2,525,000 | Anshan | 68%
|
| China | 38.87042971 | 115.4800207 | 68 | Shijiazhuang, Beijing, Tianjin, Xingtai, Zhangjiakou… | 1,790,000 | Baoding | 68%
|
| India | 28.34538739 | 79.41999955 | 37 | Morādābād, Alīgarh, Meerut, Agra, New Delhi… | 1,240,000 | Bareilly | 68%
|
| China | 41.33038291 | 123.7500069 | 45 | Shenyang, Anshan, Yingkou, Jinzhou, Pyongyang… | 1,070,000 | Benxi | 68%
|
| China | 27.52 | 120.42 | 62 | Wenzhou, Yiwu, Fuzhou, Putian, Ningbo… | 1,100,000 | Cangnan | 68%
|
| India | 30.71999697 | 76.78000565 | 33 | Ludhiana, Jalandhar, Amritsar, Meerut, New Delhi… | 2,200,000 | Chandigarh | 68%
|
| China | 43.86500856 | 125.3399873 | 29 | Jilin, Harbin, Shenyang, Daqing, Benxi… | 3,650,000 | Changchun | 68%
|
| China | 42.27001548 | 118.9499898 | 50 | Jinzhou, Qinhuangdao, Tangshan, Yingkou, Beijing… | 1,080,000 | Chifeng | 68%
|
| Pakistan | 31.40998069 | 73.10999711 | 28 | Lahore, Gujranwala, Amritsar, Multan, Jalandhar… | 3,475,000 | Faisalabad | 68%
|
| China | 26.07999595 | 119.3000459 | 57 | Putian, Cangnan, Xiamen, Wenzhou, Taichung… | 4,150,000 | Fuzhou | 68%
|
| Pakistan | 32.16042584 | 74.18502193 | 25 | Lahore, Amritsar, Faisalabad, Jalandhar, Rawalpindi… | 2,600,000 | Gujranwala | 68%
|
| India | 31.33492067 | 75.56902014 | 30 | Ludhiana, Amritsar, Lahore, Chandigarh, Gujranwala… | 1,080,000 | Jalandhar | 68%
|
| China | 43.84997072 | 126.5500427 | 25 | Changchun, Harbin, Daqing, Shenyang, Benxi… | 1,520,000 | Jilin | 68%
|
| China | 41.12036989 | 121.1000394 | 59 | Yingkou, Anshan, Qinhuangdao, Shenyang, Chifeng… | 1,050,000 | Jinzhou | 68%
|
| Pakistan | 31.55997154 | 74.35002478 | 29 | Amritsar, Gujranwala, Jalandhar, Faisalabad, Ludhiana… | 12,200,000 | Lahore | 68%
|
| India | 30.92776206 | 75.87225745 | 33 | Jalandhar, Chandigarh, Amritsar, Lahore, Gujranwala… | 1,910,000 | Ludhiana | 68%
|
| India | 29.00041201 | 77.70000118 | 35 | New Delhi, Morādābād, Alīgarh, Bareilly, Agra… | 1,670,000 | Meerut | 68%
|
| India | 28.8417912 | 78.75678422 | 35 | Bareilly, Meerut, Alīgarh, New Delhi, Agra… | 1,180,000 | Morādābād | 68%
|
| Pakistan | 30.19997703 | 71.45500769 | 31 | Faisalabad, Lahore, Gujranwala, Amritsar, Rawalpindi… | 2,000,000 | Multan | 68%
|
| India | 28.6699929 | 77.23000403 | 37 | Meerut, Alīgarh, Morādābād, Agra, Bareilly… | 28,400,000 | New Delhi | 68%
|
| Pakistan | 34.00501609 | 71.53500281 | 21 | Rawalpindi, Kabul, Srinagar, Gujranwala, Faisalabad… | 2,200,000 | Peshawar | 68%
|
| China | 25.43034568 | 119.0200114 | 58 | Fuzhou, Xiamen, Taichung, Taipei, Cangnan… | 1,470,000 | Putian | 68%
|
| Pakistan | 33.59997622 | 73.04002722 | 23 | Peshawar, Srinagar, Gujranwala, Faisalabad, Lahore… | 3,275,000 | Rawalpindi | 68%
|
| China | 41.80497927 | 123.4499735 | 46 | Benxi, Anshan, Yingkou, Jinzhou, Changchun… | 7,850,000 | Shenyang | 68%
|
| India | 34.09997154 | 74.81500932 | 26 | Rawalpindi, Gujranwala, Amritsar, Lahore, Peshawar… | 1,530,000 | Srinagar | 68%
|
| Taiwan | 24.15207745 | 120.681667 | 42 | Taipei, Tainan, Kaohsiung, Putian, Fuzhou… | 2,400,000 | Taichung | 68%
|
| Taiwan | 25.03583333 | 121.5683333 | 44 | Taichung, Fuzhou, Putian, Tainan, Kaohsiung… | 9,100,000 | Taipei | 68%
|
| China | 37.87501243 | 112.5450577 | 68 | Shijiazhuang, Xingtai, Handan, Anyang, Datong… | 4,075,000 | Taiyuan | 68%
|
| China | 28.0199809 | 120.6500927 | 66 | Cangnan, Yiwu, Ningbo, Cixi, Hangzhou… | 5,300,000 | Wenzhou | 68%
|
| China | 24.44999208 | 118.080017 | 52 | Putian, Shantou, Fuzhou, Taichung, Tainan… | 9,800,000 | Xiamen | 68%
|
| China | 38.46797365 | 106.2730375 | 32 | Lanzhou, Baotou, Xining, Baoji, Xi'an… | 1,470,000 | Yinchuan | 68%
|
| China | 40.671116 | 122.228893 | 60 | Anshan, Jinzhou, Benxi, Shenyang, Dalian… | 1,000,000 | Yingkou | 68%
|
| China | 29.12004295 | 119.6499987 | 75 | Hangzhou, Wenzhou, Cangnan, Cixi, Ningbo… | 1,600,000 | Yiwu | 68%
|
| China | 40.65220725 | 109.8220198 | 37 | Hohhot, Datong, Taiyuan, Yinchuan, Zhangjiakou… | 2,150,000 | Baotou | 67%
|
| China | 40.08001996 | 113.2999987 | 53 | Zhangjiakou, Hohhot, Baoding, Shijiazhuang, Taiyuan… | 1,600,000 | Datong | 67%
|
| China | 40.81997479 | 111.6599955 | 49 | Baotou, Datong, Zhangjiakou, Taiyuan, Shijiazhuang… | 1,810,000 | Hohhot | 67%
|
| France | 43.28997906 | 5.37501013 | 28 | Turin, Lyon, Toulouse, Barcelona, Milan… | 1,660,000 | Marseille | 67%
|
| China | 40.83000002 | 114.9299768 | 52 | Beijing, Datong, Baoding, Tianjin, Hohhot… | 1,280,000 | Zhangjiakou | 67%
|
| Spain | 41.38329958 | 2.183370319 | 20 | Toulouse, Valencia, Marseille, Bordeaux, Madrid… | 4,700,000 | Barcelona | 66%
|
| Denmark | 55.67856419 | 12.56348575 | 30 | Hamburg, Berlin, Hanover, Oslo, Stockholm… | 1,650,000 | Copenhagen | 64%
|
| Czech Republic | 50.08333701 | 14.46597978 | 28 | Vienna, Nuremberg, Berlin, Munich, Katowice… | 1,420,000 | Prague | 63%
|
| China | 31.30047833 | 120.620017 | 87 | Wuxi, Jiangyin, Shanghai, Changzhou, Nantong… | 1,050,000 | Changshu | 58%
|
| China | 30.17 | 121.26 | 80 | Ningbo, Hangzhou, Shanghai, Changshu, Wuxi… | 1,970,000 | Cixi | 58%
|
| Japan | 34.3878351 | 132.442913 | 20 | Okayama, Kitakyushu, Fukuoka, Kumamoto, Osaka… | 1,890,000 | Hiroshima | 58%
|
| Japan | 35.15499758 | 136.9149914 | 19 | Hamamatsu, Shizuoka, Osaka, Fuji, Tokyo… | 10,500,000 | Nagoya | 58%
|
| China | 29.87997072 | 121.5500378 | 77 | Cixi, Hangzhou, Shanghai, Changshu, Yiwu… | 3,200,000 | Ningbo | 58%
|
| Japan | 34.67202964 | 133.9170865 | 19 | Hiroshima, Osaka, Nagoya, Kitakyushu, Fukuoka… | 2,200,000 | Okayama | 58%
|
| Japan | 34.75003522 | 135.4601448 | 19 | Nagoya, Okayama, Hamamatsu, Shizuoka, Hiroshima… | 17,700,000 | Osaka | 58%
|
| China | 31.21645245 | 121.4365047 | 85 | Changshu, Nantong, Wuxi, Cixi, Jiangyin… | 29,500,000 | Shanghai | 58%
|
| Japan | 35.15 | 138.674 | 16 | Shizuoka, Hamamatsu, Tokyo, Nagoya, Osaka… | 1,000,000 | Fuji | 55%
|
| Japan | 34.71807334 | 137.7327193 | 18 | Shizuoka, Nagoya, Fuji, Osaka, Tokyo… | 1,320,000 | Hamamatsu | 55%
|
| Japan | 38.28710614 | 141.0217175 | 9 | Tokyo, Fuji, Shizuoka, Hamamatsu, Nagoya… | 1,510,000 | Sendai | 55%
|
| Japan | 34.98583478 | 138.3853926 | 16 | Fuji, Hamamatsu, Nagoya, Tokyo, Osaka… | 1,150,000 | Shizuoka | 55%
|
| Japan | 35.68501691 | 139.7514074 | 14 | Fuji, Shizuoka, Hamamatsu, Nagoya, Sendai… | 39,900,000 | Tokyo | 55%
|
| Japan | 43.07497927 | 141.3400443 | 6 | Sendai, Tokyo, Fuji, Shizuoka, Nagoya… | 2,500,000 | Sapporo | 54%
|
| China | 27.243893 | 111.460598 | 67 | Hengyang, Xiangtan, Zhuzhou, Changsha, Changde… | 1,060,000 | Shaoyang | 54%
|
| India | 12.96999514 | 77.56000972 | 20 | Mysore, Salem, Tiruppur, Coimbatore, Tiruchirappalli… | 11,500,000 | Bangalore | 53%
|
| India | 11.262944 | 75.772417 | 18 | Coimbatore, Kochi, Mysore, Tiruppur, Salem… | 1,000,000 | Calicut | 53%
|
| South Korea | 35.21910219 | 128.583562 | 50 | Busan, Daegu, Ulsan, Gwangju, Daejeon… | 1,060,000 | Changwon | 53%
|
| India | 10.99996035 | 76.95002112 | 17 | Tiruppur, Calicut, Kochi, Mysore, Salem… | 2,575,000 | Coimbatore | 53%
|
| South Korea | 36.33554567 | 127.425028 | 58 | Daegu, Gwangju, Seoul, Changwon, Ulsan… | 1,570,000 | Daejeon | 53%
|
| China | 26.58004295 | 106.7200386 | 36 | Zunyi, Yibin, Chongqing, Liuzhou, Guilin… | 3,450,000 | Guiyang | 53%
|
| South Korea | 35.1709656 | 126.9104341 | 65 | Daejeon, Changwon, Daegu, Busan, Ulsan… | 1,600,000 | Gwangju | 53%
|
| India | 15.35997845 | 75.12501623 | 26 | Solapur, Bangalore, Mysore, Pune, Hyderabad… | 1,090,000 | Hubli-Dharwad | 53%
|
| India | 17.39998313 | 78.47995357 | 33 | Vijayawada, Solapur, Nagpur, Hubli-Dharwad, Aurangabad… | 9,600,000 | Hyderabad | 53%
|
| India | 12.30998374 | 76.66001298 | 19 | Bangalore, Coimbatore, Calicut, Tiruppur, Salem… | 1,170,000 | Mysore | 53%
|
| India | 18.53001752 | 73.85000362 | 30 | Mumbai, Nashik, Aurangabad, Solapur, Surat… | 6,500,000 | Pune | 53%
|
| India | 11.66999697 | 78.18007523 | 18 | Tiruchirappalli, Tiruppur, Coimbatore, Bangalore, Mysore… | 1,070,000 | Salem | 53%
|
| India | 17.6704059 | 75.90000769 | 30 | Pune, Aurangabad, Hubli-Dharwad, Hyderabad, Nashik… | 1,060,000 | Solapur | 53%
|
| India | 16.51995933 | 80.63000321 | 28 | Hyderabad, Vishakhapatnam, Chennai, Bangalore, Solapur… | 1,910,000 | Vijayawada | 53%
|
| China | 27.70002626 | 106.9200264 | 38 | Guiyang, Chongqing, Yibin, Nanchong, Wanzhou… | 1,270,000 | Zunyi | 53%
|
| Brazil | -19.91502602 | -43.91500452 | 9 | Rio de Janeiro, Vitória, Campinas, São Paulo, Santos… | 5,000,000 | Belo Horizonte | 52%
|
| Brazil | -15.78334023 | -47.91605229 | 7 | Goiânia, Belo Horizonte, Campinas, São Paulo, Santos… | 3,975,000 | Brasília | 52%
|
| Brazil | -22.90001178 | -47.10002975 | 9 | São Paulo, Santos, Curitiba, Rio de Janeiro, Belo Horizonte… | 3,125,000 | Campinas | 52%
|
| South Korea | 35.86678876 | 128.6069714 | 48 | Changwon, Ulsan, Busan, Daejeon, Gwangju… | 2,725,000 | Daegu | 52%
|
| Brazil | -16.72002724 | -49.30002466 | 7 | Brasília, Belo Horizonte, Campinas, São Paulo, Santos… | 2,300,000 | Goiânia | 52%
|
| Brazil | -22.92502317 | -43.22502079 | 8 | Santos, Belo Horizonte, São Paulo, Campinas, Vitória… | 12,800,000 | Rio de Janeiro | 52%
|
| Brazil | -23.95372393 | -46.33294266 | 9 | São Paulo, Campinas, Rio de Janeiro, Curitiba, Belo Horizonte… | 1,710,000 | Santos | 52%
|
| Brazil | -23.55867959 | -46.62501998 | 9 | Santos, Campinas, Curitiba, Rio de Janeiro, Belo Horizonte… | 22,100,000 | São Paulo | 52%
|
| Brazil | -20.32399331 | -40.36599634 | 7 | Belo Horizonte, Rio de Janeiro, Santos, São Paulo, Campinas… | 1,840,000 | Vitória | 52%
|
| China | 30.24997398 | 120.1700187 | 76 | Cixi, Changshu, Yiwu, Ningbo, Wuxi… | 8,250,000 | Hangzhou | 51%
|
| Brazil | -25.420013 | -49.3199976 | 8 | São Paulo, Santos, Campinas, Porto Alegre, Rio de Janeiro… | 3,350,000 | Curitiba | 49%
|
| China | 25.2799931 | 110.280028 | 39 | Liuzhou, Shaoyang, Hengyang, Qingyuan, Nanning… | 1,390,000 | Guilin | 49%
|
| China | 24.28000246 | 109.2500134 | 36 | Guilin, Nanning, Maoming, Guiyang, Zhanjiang… | 2,125,000 | Liuzhou | 49%
|
| China | 23.1449813 | 113.3250101 | 39 | Qingyuan, Zhuhai, Huizhou, Hong Kong, Maoming… | 45,600,000 | Guangzhou | 48%
|
| China | 22.3049809 | 114.1850093 | 36 | Zhuhai, Huizhou, Guangzhou, Qingyuan, Shantou… | 7,350,000 | Hong Kong | 48%
|
| China | 23.07997235 | 114.3999833 | 38 | Hong Kong, Guangzhou, Zhuhai, Qingyuan, Shantou… | 2,750,000 | Huizhou | 48%
|
| China | 23.7003996 | 113.0300927 | 41 | Guangzhou, Huizhou, Zhuhai, Hong Kong, Maoming… | 1,030,000 | Qingyuan | 48%
|
| China | 22.2769444 | 113.5677778 | 36 | Hong Kong, Guangzhou, Huizhou, Qingyuan, Maoming… | 1,520,000 | Zhuhai | 48%
|
| Algeria | 36.7630648 | 3.05055253 | 15 | Oran, Valencia, Barcelona, Tunis, Málaga… | 3,825,000 | Algiers | 46%
|
| Ukraine | 48.47997235 | 35.00002356 | 13 | Kharkiv, Donetsk, Rostov, Kiev, Odessa… | 1,360,000 | Dnipro | 44%
|
| Vietnam | 21.03332725 | 105.8500142 | 20 | Nanning, Zhanjiang, Haikou, Liuzhou, Maoming… | 3,825,000 | Hanoi | 44%
|
| Japan | 26.20717165 | 127.6729716 | 24 | Taipei, Wenzhou, Ningbo, Cangnan, Taichung… | 1,210,000 | Naha | 44%
|
| China | 20.05000226 | 110.3200256 | 23 | Zhanjiang, Maoming, Nanning, Zhuhai, Guangzhou… | 1,960,000 | Haikou | 43%
|
| China | 21.92040489 | 110.8700179 | 33 | Zhanjiang, Haikou, Nanning, Zhuhai, Guangzhou… | 1,280,000 | Maoming | 43%
|
| India | 17.73001467 | 83.30498205 | 27 | Vijayawada, Bhubaneswar, Bhilai, Hyderabad, Nagpur… | 2,075,000 | Vishakhapatnam | 43%
|
| China | 21.19998374 | 110.3800219 | 26 | Maoming, Haikou, Nanning, Zhuhai, Liuzhou… | 1,250,000 | Zhanjiang | 43%
|
| United States | 33.83001385 | -84.39994938 | 25 | Nashville, Charlotte, Jacksonville, Greensboro, Louisville… | 5,700,000 | Atlanta | 42%
|
| Serbia | 44.81864545 | 20.46799068 | 20 | Budapest, Sofia, Bucharest, Vienna, Katowice… | 1,410,000 | Belgrade | 42%
|
| China | 29.56497703 | 106.5949816 | 40 | Nanchong, Zunyi, Yibin, Wanzhou, Chengdu… | 7,800,000 | Chongqing | 42%
|
| United States | 36.20999778 | -115.2200061 | 12 | Los Angeles, Mexicali, Phoenix, San Diego, Tijuana… | 2,200,000 | Las Vegas | 42%
|
| Belarus | 53.89997744 | 27.56662716 | 16 | Kiev, Warsaw, Moscow, Saint Petersburg, Katowice… | 2,000,000 | Minsk | 42%
|
| India | 19.01699038 | 72.8569893 | 27 | Pune, Nashik, Surat, Aurangabad, Solapur… | 24,200,000 | Mumbai | 42%
|
| China | 22.81998822 | 108.3200443 | 31 | Liuzhou, Zhanjiang, Maoming, Hanoi, Guilin… | 3,525,000 | Nanning | 42%
|
| India | 20.00041872 | 73.77998205 | 28 | Mumbai, Aurangabad, Pune, Surat, Vadodara… | 1,960,000 | Nashik | 42%
|
| United States | 40.7750163 | -111.9300519 | 9 | Las Vegas, Denver, Phoenix, Sacramento, Stockton… | 2,350,000 | Salt Lake City | 42%
|
| Bulgaria | 42.68334943 | 23.31665401 | 15 | Bucharest, Belgrade, Istanbul, Athens, Bursa… | 1,300,000 | Sofia | 42%
|
| China | 30.81999086 | 108.4000394 | 55 | Nanchong, Chongqing, Yichang, Mianyang, Jingzhou… | 1,070,000 | Wanzhou | 42%
|
| United States | 33.98997825 | -118.1799805 | 9 | San Diego, Tijuana, Mexicali, Las Vegas, Stockton… | 17,700,000 | Los Angeles | 41%
|
| Mexico | 32.64998252 | -115.4800161 | 11 | Tijuana, San Diego, Los Angeles, Phoenix, Las Vegas… | 1,030,000 | Mexicali | 41%
|
| United States | 33.53997988 | -112.0699917 | 10 | Mexicali, Las Vegas, Tijuana, San Diego, El Paso… | 4,500,000 | Phoenix | 41%
|
| United States | 32.82002382 | -117.1799899 | 9 | Tijuana, Los Angeles, Mexicali, Las Vegas, Phoenix… | 3,325,000 | San Diego | 41%
|
| United States | 37.95813397 | -121.289739 | 10 | Sacramento, San Francisco, Los Angeles, Las Vegas, San Diego… | 1,230,000 | Stockton | 41%
|
| Spain | 40.40002626 | -3.683351686 | 16 | Valencia, Seville, Málaga, Porto, Lisbon… | 6,350,000 | Madrid | 40%
|
| Spain | 36.7204059 | -4.419999228 | 16 | Seville, Tangier, Fez, Oran, Rabat… | 1,020,000 | Málaga | 40%
|
| Algeria | 35.71000246 | -0.61997278 | 16 | Algiers, Málaga, Valencia, Fez, Tangier… | 1,420,000 | Oran | 40%
|
| Portugal | 41.15000633 | -8.620001263 | 13 | Lisbon, Madrid, Seville, Málaga, Tangier… | 1,150,000 | Porto | 40%
|
| United States | 38.57502138 | -121.4700381 | 9 | Stockton, San Francisco, Los Angeles, Las Vegas, San Diego… | 2,050,000 | Sacramento | 40%
|
| United States | 37.74000775 | -122.4599777 | 9 | Stockton, Sacramento, Los Angeles, Las Vegas, San Diego… | 7,800,000 | San Francisco | 40%
|
| Spain | 37.40501528 | -5.980007366 | 16 | Málaga, Tangier, Lisbon, Fez, Rabat… | 1,330,000 | Seville | 40%
|
| Morocco | 35.76727 | -5.79975 | 14 | Málaga, Seville, Fez, Rabat, Casablanca… | 1,080,000 | Tangier | 40%
|
| Mexico | 32.50001752 | -117.079996 | 8 | San Diego, Mexicali, Los Angeles, Las Vegas, Phoenix… | 1,920,000 | Tijuana | 40%
|
| Spain | 39.48501752 | -0.400012046 | 18 | Madrid, Barcelona, Oran, Algiers, Málaga… | 1,760,000 | Valencia | 40%
|
| Morocco | 33.59997622 | -7.616367433 | 12 | Rabat, Marrakesh, Fez, Tangier, Agadir… | 4,325,000 | Casablanca | 39%
|
| Morocco | 34.05459963 | -5.000377239 | 13 | Rabat, Tangier, Casablanca, Málaga, Seville… | 1,240,000 | Fez | 39%
|
| Portugal | 38.72272288 | -9.144866305 | 13 | Porto, Seville, Tangier, Málaga, Madrid… | 2,550,000 | Lisbon | 39%
|
| Morocco | 34.02529909 | -6.83613082 | 13 | Casablanca, Fez, Tangier, Marrakesh, Málaga… | 1,980,000 | Rabat | 39%
|
| Turkey | 36.88998212 | 30.69997595 | 19 | Konya, Izmir, Ankara, Bursa, Adana… | 1,240,000 | Antalya | 37%
|
| Turkey | 37.87501243 | 32.47500972 | 21 | Antalya, Ankara, Adana, Kayseri, Bursa… | 1,280,000 | Konya | 37%
|
| India | 20.27042808 | 85.82736039 | 23 | Jamshedpur, Ranchi, Kolkata, Vishakhapatnam, Dhanbad… | 1,820,000 | Bhubaneswar | 36%
|
| Romania | 44.4333718 | 26.09994665 | 18 | Sofia, Odessa, Istanbul, Belgrade, Bursa… | 2,200,000 | Bucharest | 36%
|
| Pakistan | 24.86999229 | 66.99000891 | 16 | Hyderabad, Rajkot, Quetta, Ahmedabad, Jodhpur… | 16,900,000 | Karachi | 36%
|
| United States | 36.16997438 | -86.77998499 | 26 | Louisville, Memphis, Atlanta, Cincinnati, Indianapolis… | 1,430,000 | Nashville | 36%
|
| Turkey | 36.99498863 | 35.32000403 | 22 | Gaziantep, Aleppo, Kayseri, Konya, Beirut… | 1,720,000 | Adana | 34%
|
| Syria | 36.22997072 | 37.1700203 | 22 | Gaziantep, Adana, Beirut, Damascus, Kayseri… | 2,050,000 | Aleppo | 34%
|
| Lebanon | 33.87197512 | 35.50970821 | 19 | Damascus, Tel Aviv-Jaffa, Amman, Gaza, Aleppo… | 1,750,000 | Beirut | 34%
|
| India | 13.08998781 | 80.27999874 | 20 | Salem, Bangalore, Tiruchirappalli, Vijayawada, Tiruppur… | 10,700,000 | Chennai | 34%
|
| United States | 41.82999066 | -87.75005497 | 20 | Milwaukee, Indianapolis, Detroit, Cincinnati, Saint Louis… | 9,750,000 | Chicago | 34%
|
| Turkey | 37.07498374 | 37.38499426 | 22 | Aleppo, Adana, Kayseri, Beirut, Damascus… | 1,660,000 | Gaziantep | 34%
|
| United States | 39.74998842 | -86.17004806 | 24 | Cincinnati, Louisville, Chicago, Columbus, Saint Louis… | 1,950,000 | Indianapolis | 34%
|
| India | 10.01500755 | 76.22391557 | 15 | Coimbatore, Calicut, Tiruppur, Madurai, Mysore… | 1,560,000 | Kochi | 34%
|
| United States | 38.22501691 | -85.74870427 | 26 | Cincinnati, Indianapolis, Nashville, Columbus, Saint Louis… | 1,050,000 | Louisville | 34%
|
| India | 9.920026264 | 78.12002722 | 14 | Tiruchirappalli, Tiruppur, Coimbatore, Salem, Kochi… | 1,710,000 | Madurai | 34%
|
| United States | 26.20303754 | -98.22972538 | 16 | Monterrey, San Antonio, Austin, Houston, Torreón… | 1,300,000 | McAllen | 34%
|
| Mexico | 25.66999514 | -100.3299848 | 17 | McAllen, Torreón, San Luis Potosí, San Antonio, Aguascalientes… | 4,825,000 | Monterrey | 34%
|
| India | 10.80999778 | 78.68996659 | 15 | Salem, Madurai, Tiruppur, Coimbatore, Bangalore… | 1,170,000 | Tiruchirappalli | 34%
|
| India | 11.08042055 | 77.32999792 | 17 | Coimbatore, Salem, Tiruchirappalli, Mysore, Madurai… | 1,330,000 | Tiruppur | 34%
|
| Austria | 48.20001528 | 16.36663896 | 28 | Budapest, Prague, Katowice, Munich, Nuremberg… | 2,225,000 | Vienna | 34%
|
| Nigeria | 9.083333149 | 7.533328002 | 17 | Kaduna, Ilorin, Onitsha, Kano, Benin City… | 3,200,000 | Abuja | 33%
|
| Ghana | 5.550034606 | -0.21671574 | 14 | Lomé, Kumasi, Cotonou, Lagos, Abidjan… | 5,100,000 | Accra | 33%
|
| Hungary | 47.50000633 | 19.08332068 | 25 | Vienna, Katowice, Belgrade, Prague, Warsaw… | 2,575,000 | Budapest | 33%
|
| Benin | 6.400008564 | 2.519990599 | 17 | Lagos, Lomé, Ibadan, Accra, Ilorin… | 1,710,000 | Cotonou | 33%
|
| Ukraine | 48.00000165 | 37.82998002 | 13 | Rostov, Dnipro, Kharkiv, Voronezh, Volgograd… | 1,450,000 | Donetsk | 33%
|
| Nigeria | 7.380026264 | 3.929982054 | 18 | Lagos, Ilorin, Cotonou, Benin City, Lomé… | 3,350,000 | Ibadan | 33%
|
| Nigeria | 8.47831 | 4.547402 | 17 | Ibadan, Lagos, Benin City, Cotonou, Abuja… | 1,010,000 | Ilorin | 33%
|
| Nigeria | 6.443261653 | 3.391531071 | 18 | Cotonou, Ibadan, Lomé, Benin City, Ilorin… | 18,200,000 | Lagos | 33%
|
| Togo | 6.131937072 | 1.222757119 | 16 | Cotonou, Accra, Lagos, Kumasi, Ibadan… | 1,970,000 | Lomé | 33%
|
| Niger | 13.51670595 | 2.116656045 | 13 | Ouagadougou, Ilorin, Kaduna, Ibadan, Kano… | 1,220,000 | Niamey | 33%
|
| Russia | 47.23464785 | 39.7126558 | 13 | Donetsk, Dnipro, Volgograd, Kharkiv, Voronezh… | 1,290,000 | Rostov | 33%
|
| Nigeria | 5.100397968 | 7.34998002 | 15 | Port Harcourt, Onitsha, Benin City, Douala, Abuja… | 1,090,000 | Aba | 32%
|
| Turkey | 39.92723859 | 32.86439164 | 23 | Konya, Kayseri, Bursa, Istanbul, Antalya… | 4,850,000 | Ankara | 32%
|
| Nigeria | 6.340477314 | 5.620008096 | 16 | Onitsha, Ibadan, Port Harcourt, Aba, Lagos… | 1,570,000 | Benin City | 32%
|
| Turkey | 40.1999868 | 29.06999792 | 16 | Istanbul, Izmir, Ankara, Konya, Antalya… | 2,025,000 | Bursa | 32%
|
| Turkey | 38.43614968 | 27.15179401 | 18 | Bursa, Athens, Istanbul, Antalya, Konya… | 3,000,000 | Izmir | 32%
|
| Ukraine | 50.43336733 | 30.51662797 | 13 | Dnipro, Kharkiv, Minsk, Odessa, Donetsk… | 3,450,000 | Kiev | 32%
|
| Nigeria | 6.140412007 | 6.779988972 | 17 | Benin City, Aba, Port Harcourt, Abuja, Ibadan… | 1,140,000 | Onitsha | 32%
|
| Nigeria | 4.810002257 | 7.010000772 | 15 | Aba, Onitsha, Benin City, Douala, Lagos… | 2,200,000 | Port Harcourt | 32%
|
| Mexico | 25.57005292 | -103.4200029 | 16 | Monterrey, Aguascalientes, San Luis Potosí, León, McAllen… | 1,330,000 | Torreón | 32%
|
| Sri Lanka | 6.931965758 | 79.85775061 | 10 | Madurai, Tiruchirappalli, Kochi, Tiruppur, Coimbatore… | 4,750,000 | Colombo | 31%
|
| United States | 35.1199868 | -89.99999516 | 18 | Nashville, Saint Louis, Louisville, Atlanta, New Orleans… | 1,150,000 | Memphis | 31%
|
| Cameroon | 3.866700662 | 11.51665076 | 17 | Douala, Aba, Port Harcourt, Onitsha, Benin City… | 3,150,000 | Yaoundé | 31%
|
| Ivory Coast | 5.319996967 | -4.04004826 | 9 | Kumasi, Accra, Lomé, Cotonou, Monrovia… | 5,350,000 | Abidjan | 30%
|
| Greece | 37.98332623 | 23.73332108 | 11 | Izmir, Bursa, Sofia, Istanbul, Antalya… | 3,375,000 | Athens | 30%
|
| Finland | 60.17556337 | 24.93412634 | 7 | Saint Petersburg, Stockholm, Minsk, Oslo, Copenhagen… | 1,270,000 | Helsinki | 30%
|
| Turkey | 41.10499615 | 29.01000159 | 16 | Bursa, Izmir, Ankara, Bucharest, Konya… | 14,800,000 | Istanbul | 30%
|
| Nigeria | 10.52001548 | 7.440000365 | 17 | Abuja, Kano, Ilorin, Onitsha, Benin City… | 1,780,000 | Kaduna | 30%
|
| Nigeria | 11.99997683 | 8.5200378 | 15 | Kaduna, Abuja, Maiduguri, Ilorin, Onitsha… | 4,400,000 | Kano | 30%
|
| Ukraine | 49.99998293 | 36.25002478 | 12 | Dnipro, Donetsk, Voronezh, Rostov, Kiev… | 1,630,000 | Kharkiv | 30%
|
| Ghana | 6.689990864 | -1.630014487 | 13 | Accra, Abidjan, Lomé, Cotonou, Lagos… | 2,950,000 | Kumasi | 30%
|
| Russia | 55.75216412 | 37.61552283 | 14 | Nizhny Novgorod, Voronezh, Saint Petersburg, Kharkiv, Minsk… | 17,000,000 | Moscow | 30%
|
| Ukraine | 46.4900163 | 30.71000118 | 19 | Dnipro, Bucharest, Kiev, Donetsk, Kharkiv… | 1,100,000 | Odessa | 30%
|
| Burkina Faso | 12.37031598 | -1.524723756 | 11 | Niamey, Kumasi, Bamako, Lomé, Accra… | 2,425,000 | Ouagadougou | 30%
|
| Russia | 51.72998069 | 39.26999548 | 13 | Kharkiv, Donetsk, Moscow, Saratov, Dnipro… | 1,050,000 | Voronezh | 30%
|
| Cameroon | 4.060409769 | 9.709991006 | 15 | Yaoundé, Aba, Port Harcourt, Onitsha, Benin City… | 3,125,000 | Douala | 29%
|
| Mexico | 19.04995994 | -98.20003727 | 13 | Mexico City, Cuernavaca, Toluca, Querétaro, León… | 3,075,000 | Puebla | 29%
|
| Mexico | 21.87945992 | -102.2904135 | 12 | León, San Luis Potosí, Guadalajara, Querétaro, Toluca… | 1,120,000 | Aguascalientes | 28%
|
| Mexico | 18.92110476 | -99.23999964 | 11 | Mexico City, Toluca, Puebla, Querétaro, León… | 1,020,000 | Cuernavaca | 28%
|
| Mexico | 20.67001609 | -103.3300342 | 11 | Aguascalientes, León, San Luis Potosí, Querétaro, Toluca… | 5,150,000 | Guadalajara | 28%
|
| United States | 39.10708851 | -94.60409422 | 12 | Saint Louis, Oklahoma City, Memphis, Chicago, Minneapolis… | 1,950,000 | Kansas City | 28%
|
| Russia | 55.74994204 | 49.12634477 | 10 | Samara, Nizhny Novgorod, Ufa, Perm, Saratov… | 1,250,000 | Kazan | 28%
|
| Mexico | 21.1499868 | -101.7000304 | 12 | Aguascalientes, San Luis Potosí, Querétaro, Guadalajara, Toluca… | 1,870,000 | León | 28%
|
| Mexico | 19.44244244 | -99.1309882 | 11 | Toluca, Cuernavaca, Puebla, Querétaro, León… | 22,600,000 | Mexico City | 28%
|
| Russia | 56.33300722 | 44.00009436 | 10 | Kazan, Moscow, Samara, Saratov, Voronezh… | 1,740,000 | Nizhny Novgorod | 28%
|
| Mexico | 20.63001853 | -100.3799817 | 12 | León, Toluca, San Luis Potosí, Mexico City, Cuernavaca… | 1,360,000 | Querétaro | 28%
|
| Russia | 59.93901451 | 30.31602006 | 5 | Helsinki, Moscow, Stockholm, Minsk, Nizhny Novgorod | 5,550,000 | Saint Petersburg | 28%
|
| Russia | 53.19500755 | 50.15129512 | 11 | Kazan, Saratov, Ufa, Nizhny Novgorod, Volgograd… | 1,320,000 | Samara | 28%
|
| Mexico | 22.16997622 | -100.9999956 | 13 | León, Aguascalientes, Querétaro, Guadalajara, Toluca… | 1,190,000 | San Luis Potosí | 28%
|
| Russia | 51.57998985 | 46.0299963 | 12 | Samara, Volgograd, Voronezh, Kazan, Nizhny Novgorod… | 1,090,000 | Saratov | 28%
|
| Mexico | 19.3303821 | -99.66999923 | 11 | Mexico City, Cuernavaca, Puebla, Querétaro, León… | 2,225,000 | Toluca | 28%
|
| Russia | 48.71000999 | 44.49996049 | 12 | Saratov, Rostov, Donetsk, Voronezh, Kharkiv… | 1,410,000 | Volgograd | 28%
|
| Poland | 50.26038047 | 19.02001705 | 23 | Warsaw, Vienna, Budapest, Prague, Berlin… | 2,375,000 | Katowice | 27%
|
| Turkey | 38.73495994 | 35.49001949 | 21 | Adana, Gaziantep, Ankara, Konya, Aleppo… | 1,110,000 | Kayseri | 27%
|
| India | 23.37000633 | 85.33002641 | 30 | Jamshedpur, Dhanbad, Āsansol, Patna, Varanasi… | 1,360,000 | Ranchi | 27%
|
| India | 23.6833333 | 86.9833333 | 24 | Dhanbad, Jamshedpur, Ranchi, Kolkata, Khulna… | 1,560,000 | Āsansol | 26%
|
| Bangladesh | 22.32999229 | 91.79996741 | 14 | Dhaka, Khulna, Kolkata, Guwahati, Mandalay… | 4,725,000 | Chittagong | 26%
|
| Bangladesh | 23.72305971 | 90.40857947 | 17 | Khulna, Chittagong, Kolkata, Guwahati, Āsansol… | 18,800,000 | Dhaka | 26%
|
| India | 23.80039349 | 86.41998572 | 25 | Āsansol, Jamshedpur, Ranchi, Patna, Kolkata… | 1,340,000 | Dhanbad | 26%
|
| India | 26.16001691 | 91.76999508 | 14 | Dhaka, Chittagong, Khulna, Kolkata, Āsansol… | 1,100,000 | Guwahati | 26%
|
| India | 22.78753542 | 86.19751868 | 25 | Ranchi, Dhanbad, Āsansol, Kolkata, Bhubaneswar… | 1,600,000 | Jamshedpur | 26%
|
| Bangladesh | 22.839987 | 89.56000077 | 19 | Dhaka, Kolkata, Chittagong, Āsansol, Dhanbad… | 1,090,000 | Khulna | 26%
|
| India | 22.4949693 | 88.32467566 | 20 | Khulna, Āsansol, Jamshedpur, Dhanbad, Dhaka… | 16,400,000 | Kolkata | 26%
|
| Myanmar | 21.96998842 | 96.08502885 | 8 | Chittagong, Yangon, Dhaka, Guwahati, Khulna… | 1,480,000 | Mandalay | 26%
|
| United States | 38.63501772 | -90.23998051 | 19 | Indianapolis, Kansas City, Memphis, Louisville, Nashville… | 2,350,000 | Saint Louis | 26%
|
| Poland | 52.25000063 | 20.99999955 | 22 | Katowice, Minsk, Prague, Berlin, Budapest… | 2,300,000 | Warsaw | 25%
|
| Indonesia | -5.430018698 | 105.2699979 | 12 | Serang, Jakarta, Palembang, Bandung, Semarang… | 1,140,000 | Bandar Lampung | 23%
|
| Indonesia | 1.056 | 104.042 | 10 | Singapore, Pekanbaru, Kuala Lumpur, Palembang, George Town… | 1,330,000 | Batam | 23%
|
| Indonesia | -6.174417705 | 106.8294376 | 13 | Serang, Bandung, Bandar Lampung, Semarang, Palembang… | 30,300,000 | Jakarta | 23%
|
| United States | 43.05265505 | -87.91996708 | 16 | Chicago, Indianapolis, Detroit, Minneapolis, Cincinnati… | 1,550,000 | Milwaukee | 23%
|
| Italy | 40.84002525 | 14.24501135 | 17 | Rome, Tunis, Sousse, Milan, Belgrade… | 4,225,000 | Naples | 23%
|
| Indonesia | -2.980039043 | 104.7500297 | 12 | Bandar Lampung, Serang, Jakarta, Batam, Singapore… | 1,750,000 | Palembang | 23%
|
| Indonesia | 0.564964212 | 101.425013 | 9 | Singapore, Kuala Lumpur, Batam, Medan, Palembang… | 1,310,000 | Pekanbaru | 23%
|
| Indonesia | -6.109977194 | 106.1496342 | 12 | Jakarta, Bandar Lampung, Bandung, Palembang, Semarang… | 1,200,000 | Serang | 23%
|
| Singapore | 1.293033466 | 103.8558207 | 9 | Batam, Pekanbaru, Kuala Lumpur, Palembang, George Town… | 7,750,000 | Singapore | 23%
|
| Indonesia | -6.950029278 | 107.5700126 | 11 | Jakarta, Serang, Bandar Lampung, Semarang, Yogyakarta… | 6,150,000 | Bandung | 22%
|
| Indonesia | -8.650028871 | 115.2199849 | 8 | Malang, Surabaya, Surakarta, Yogyakarta, Semarang… | 1,670,000 | Denpasar | 22%
|
| Indonesia | -7.97999225 | 112.610015 | 10 | Surabaya, Surakarta, Yogyakarta, Semarang, Denpasar… | 1,460,000 | Malang | 22%
|
| Indonesia | -6.966617412 | 110.4200195 | 10 | Surakarta, Yogyakarta, Surabaya, Malang, Bandung… | 2,100,000 | Semarang | 22%
|
| Indonesia | -7.249235821 | 112.7508333 | 10 | Malang, Surakarta, Semarang, Yogyakarta, Denpasar… | 4,875,000 | Surabaya | 22%
|
| Indonesia | -7.564978822 | 110.8250077 | 11 | Yogyakarta, Semarang, Malang, Surabaya, Bandung… | 1,250,000 | Surakarta | 22%
|
| Indonesia | -7.77995278 | 110.3750093 | 10 | Surakarta, Semarang, Malang, Surabaya, Bandung… | 1,320,000 | Yogyakarta | 22%
|
| China | 30.67000002 | 104.0700195 | 29 | Mianyang, Nanchong, Yibin, Chongqing, Wanzhou… | 9,300,000 | Chengdu | 21%
|
| United States | 44.97997927 | -93.25178634 | 8 | Milwaukee, Chicago, Kansas City, Saint Louis, Indianapolis… | 3,100,000 | Minneapolis | 21%
|
| China | 30.78043256 | 106.1299971 | 37 | Chongqing, Mianyang, Chengdu, Wanzhou, Yibin… | 1,180,000 | Nanchong | 21%
|
| Sweden | 59.35075995 | 18.09733473 | 9 | Helsinki, Oslo, Copenhagen, Saint Petersburg, Warsaw… | 2,150,000 | Stockholm | 21%
|
| China | 28.750566 | 104.646067 | 30 | Chongqing, Chengdu, Zunyi, Nanchong, Mianyang… | 1,010,000 | Yibin | 21%
|
| China | 34.38000612 | 107.1499865 | 50 | Xi'an, Lanzhou, Mianyang, Nanchong, Wanzhou… | 1,120,000 | Baoji | 20%
|
| China | 31.46997703 | 104.7699768 | 32 | Chengdu, Nanchong, Chongqing, Yibin, Wanzhou… | 1,360,000 | Mianyang | 20%
|
| Egypt | 31.20001935 | 29.94999589 | 14 | Cairo, Gaza, Tel Aviv-Jaffa, Amman, Beirut… | 5,850,000 | Alexandria | 19%
|
| Syria | 33.500034 | 36.29999589 | 18 | Beirut, Amman, Tel Aviv-Jaffa, Gaza, Aleppo… | 3,675,000 | Damascus | 19%
|
| Norway | 59.91669029 | 10.74997921 | 11 | Stockholm, Copenhagen, Hamburg, Helsinki, Berlin… | 1,170,000 | Oslo | 19%
|
| Italy | 41.89595563 | 12.48325842 | 21 | Naples, Milan, Turin, Tunis, Marseille… | 3,600,000 | Rome | 19%
|
| Israel | 32.07999147 | 34.77001176 | 18 | Gaza, Amman, Beirut, Damascus, Cairo… | 2,625,000 | Tel Aviv-Jaffa | 19%
|
| Jordan | 31.95002525 | 35.93329993 | 17 | Tel Aviv-Jaffa, Gaza, Damascus, Beirut, Aleppo… | 5,300,000 | Amman | 18%
|
| United States | 26.56285 | -81.94953 | 10 | Tampa, Miami, Melbourne, Orlando, Havana… | 1,060,000 | Cape Coral | 18%
|
| Palestine, State of | 31.52999921 | 34.44501868 | 16 | Tel Aviv-Jaffa, Amman, Beirut, Damascus, Cairo… | 1,910,000 | Gaza | 18%
|
| Cuba | 23.13195884 | -82.36418217 | 7 | Miami, Cape Coral, Tampa, Melbourne, Orlando… | 2,225,000 | Havana | 18%
|
| United States | 30.33002077 | -81.66998682 | 16 | Orlando, Melbourne, Tampa, Cape Coral, Atlanta… | 1,390,000 | Jacksonville | 17%
|
| United States | 28.08331036 | -80.60832035 | 11 | Orlando, Tampa, Cape Coral, Miami, Jacksonville… | 1,170,000 | Melbourne | 17%
|
| United States | 25.7876107 | -80.22410608 | 7 | Cape Coral, Melbourne, Orlando, Tampa, Havana… | 6,250,000 | Miami | 17%
|
| Iraq | 36.34500246 | 43.14500443 | 23 | Kirkuk, Tabriz, Baghdad, Yerevan, Gaziantep… | 1,400,000 | Mosul | 17%
|
| United States | 28.50997683 | -81.38003036 | 12 | Melbourne, Tampa, Jacksonville, Cape Coral, Miami… | 3,275,000 | Orlando | 17%
|
| United States | 27.94698793 | -82.45862085 | 12 | Orlando, Cape Coral, Melbourne, Jacksonville, Miami… | 4,200,000 | Tampa | 17%
|
| Myanmar | 16.7833541 | 96.16667761 | 6 | Mandalay, Bangkok, Chonburi, Chittagong, Khulna… | 5,400,000 | Yangon | 17%
|
| China | 45.74998395 | 126.6499849 | 16 | Daqing, Jilin, Changchun, Qiqihar, Shenyang… | 5,300,000 | Harbin | 16%
|
| Brazil | -30.05001463 | -51.20001205 | 8 | Curitiba, Montevideo, Asunción, Santos, Buenos Aires… | 4,100,000 | Porto Alegre | 16%
|
| Iran | 31.27998863 | 48.72001298 | 16 | Basra, Kuwait City, Isfahan, Shiraz, Qom… | 1,320,000 | Ahvaz | 15%
|
| Iraq | 33.3386485 | 44.39386877 | 24 | Kirkuk, Mosul, Basra, Ahvaz, Tabriz… | 6,950,000 | Baghdad | 15%
|
| Iraq | 30.51352378 | 47.81355668 | 16 | Ahvaz, Kuwait City, Isfahan, Baghdad, Shiraz… | 1,440,000 | Basra | 15%
|
| Kuwait | 29.36971763 | 47.97830115 | 17 | Basra, Ahvaz, Dammam, Manama, Shiraz… | 4,475,000 | Kuwait City | 15%
|
| United States | 35.47004295 | -97.51868351 | 12 | Dallas, Kansas City, Austin, Houston, San Antonio… | 1,130,000 | Oklahoma City | 15%
|
| Iran | 29.62996014 | 52.57001054 | 15 | Isfahan, Ahvaz, Manama, Dammam, Kuwait City… | 1,700,000 | Shiraz | 15%
|
| Armenia | 40.18115074 | 44.51355139 | 15 | Tbilisi, Tabriz, Mosul, Baku, Kirkuk… | 1,490,000 | Yerevan | 15%
|
| Mexico | 31.69037701 | -106.4900481 | 11 | El Paso, Phoenix, Torreón, San Antonio, Austin… | 1,470,000 | Ciudad Juárez | 14%
|
| United States | 31.77998395 | -106.5099952 | 11 | Ciudad Juárez, Phoenix, Torreón, San Antonio, Mexicali… | 1,030,000 | El Paso | 14%
|
| Iran | 32.70000531 | 51.7000378 | 18 | Qom, Ahvaz, Tehran, Shiraz, Basra… | 3,100,000 | Isfahan | 14%
|
| Iraq | 35.4722392 | 44.3922668 | 20 | Mosul, Baghdad, Tabriz, Yerevan, Qom… | 1,020,000 | Kirkuk | 14%
|
| China | 36.05602785 | 103.7920003 | 27 | Xining, Yinchuan, Baoji, Xi'an, Mianyang… | 2,750,000 | Lanzhou | 14%
|
| United States | 29.99500246 | -90.03996688 | 16 | Houston, Memphis, Atlanta, Dallas, Austin… | 1,010,000 | New Orleans | 14%
|
| Tunisia | 36.80277814 | 10.1796781 | 11 | Sousse, Tripoli, Naples, Rome, Algiers… | 2,575,000 | Tunis | 14%
|
| China | 36.6199986 | 101.7700048 | 14 | Lanzhou, Yinchuan, Baoji, Mianyang, Chengdu… | 1,400,000 | Xining | 14%
|
| United States | 30.26694969 | -97.74277836 | 12 | San Antonio, Houston, Dallas, McAllen, Monterrey… | 1,860,000 | Austin | 13%
|
| Egypt | 30.04996035 | 31.24996822 | 11 | Alexandria, Gaza, Tel Aviv-Jaffa, Amman, Beirut… | 18,200,000 | Cairo | 13%
|
| United States | 32.82002382 | -96.84001693 | 13 | Austin, Oklahoma City, Houston, San Antonio, Memphis… | 6,900,000 | Dallas | 13%
|
| United States | 29.81997438 | -95.33997929 | 9 | Austin, San Antonio, Dallas, McAllen, New Orleans… | 6,500,000 | Houston | 13%
|
| United States | 29.48733319 | -98.50730534 | 14 | Austin, Houston, McAllen, Dallas, Monterrey… | 2,150,000 | San Antonio | 13%
|
| Tunisia | 35.82999514 | 10.62502559 | 7 | Tunis, Tripoli, Naples, Algiers, Rome… | 1,090,000 | Sousse | 13%
|
| Iran | 36.27001996 | 59.5699967 | 8 | Ashgabat, Tehran, Qom, Isfahan, Kabul… | 3,100,000 | Mashhad | 12%
|
| Iran | 34.65001548 | 50.95000606 | 17 | Tehran, Isfahan, Ahvaz, Basra, Tabriz… | 1,240,000 | Qom | 12%
|
| Iran | 38.08629152 | 46.30124589 | 16 | Yerevan, Kirkuk, Mosul, Baku, Tbilisi… | 1,760,000 | Tabriz | 12%
|
| Iran | 35.67194277 | 51.42434403 | 15 | Qom, Isfahan, Tabriz, Baku, Ahvaz… | 14,700,000 | Tehran | 12%
|
| Azerbaijan | 40.39527203 | 49.86221716 | 11 | Tabriz, Tbilisi, Yerevan, Tehran, Qom… | 2,525,000 | Baku | 11%
|
| Colombia | 10.95998863 | -74.79996688 | 13 | Cartagena, Maracaibo, Bucaramanga, Medellín, Panama City… | 2,050,000 | Barranquilla | 11%
|
| Colombia | 4.596423563 | -74.08334396 | 12 | Medellín, Cali, Bucaramanga, Cartagena, Barranquilla… | 9,650,000 | Bogotá | 11%
|
| Colombia | 7.1300932 | -73.12588302 | 11 | Medellín, Bogotá, Maracaibo, Cartagena, Barranquilla… | 1,150,000 | Bucaramanga | 11%
|
| Colombia | 3.399959126 | -76.49996647 | 9 | Bogotá, Medellín, Quito, Bucaramanga, Panama City… | 3,000,000 | Cali | 11%
|
| Colombia | 10.39973859 | -75.51439356 | 13 | Barranquilla, Maracaibo, Bucaramanga, Medellín, Panama City… | 1,110,000 | Cartagena | 11%
|
| Venezuela | 10.72997683 | -71.65997766 | 13 | Barquisimeto, Barranquilla, Valencia, Cartagena, Bucaramanga… | 2,575,000 | Maracaibo | 11%
|
| Colombia | 6.275003274 | -75.57501001 | 11 | Bogotá, Bucaramanga, Cali, Cartagena, Barranquilla… | 3,900,000 | Medellín | 11%
|
| Panama | 8.96801719 | -79.53303715 | 9 | Cartagena, San José, Medellín, Barranquilla, Cali… | 1,530,000 | Panama City | 11%
|
| Georgia | 41.72500999 | 44.79079545 | 15 | Yerevan, Tabriz, Baku, Mosul, Kirkuk… | 1,290,000 | Tbilisi | 11%
|
| Turkmenistan | 37.94999493 | 58.38329911 | 5 | Mashhad, Tehran, Qom, Baku, Isfahan | 1,300,000 | Ashgabat | 10%
|
| Canada | 51.08299176 | -114.0799982 | 4 | Edmonton, Vancouver, Seattle, Portland | 1,470,000 | Calgary | 9%
|
| United States | 39.73918805 | -104.984016 | 7 | Salt Lake City, Oklahoma City, El Paso, Kansas City, Ciudad Juárez… | 3,650,000 | Denver | 9%
|
| Canada | 53.55002464 | -113.4999819 | 3 | Calgary, Vancouver, Seattle | 1,330,000 | Edmonton | 9%
|
| United States | 45.52002382 | -122.6799901 | 6 | Seattle, Vancouver, Sacramento, Stockton, San Francisco… | 2,375,000 | Portland | 9%
|
| Brazil | -12.9699719 | -38.47998743 | 7 | Maceió, Recife, João Pessoa, Vitória, Natal… | 3,700,000 | Salvador | 9%
|
| United States | 47.57000205 | -122.339985 | 4 | Vancouver, Portland, Calgary, Edmonton | 4,275,000 | Seattle | 9%
|
| Canada | 49.27341658 | -123.1216442 | 4 | Seattle, Portland, Calgary, Edmonton | 2,725,000 | Vancouver | 9%
|
| Philippines | 15.14505617 | 120.5450862 | 6 | Manila, Cebu, Kaohsiung, Tainan, Taichung… | 1,410,000 | Angeles | 8%
|
| Philippines | 10.31997601 | 123.9000752 | 3 | Davao, Manila, Angeles | 2,600,000 | Cebu | 8%
|
| Philippines | 7.110016906 | 125.6299955 | 2 | Cebu, Manila | 1,510,000 | Davao | 8%
|
| Philippines | 14.60415895 | 120.9822172 | 5 | Angeles, Cebu, Kaohsiung, Tainan, Davao | 24,600,000 | Manila | 8%
|
| Venezuela | 10.04999249 | -69.29996668 | 12 | Valencia, Maracay, Caracas, Maracaibo, Bucaramanga… | 1,280,000 | Barquisimeto | 7%
|
| Argentina | -31.39995807 | -64.18229456 | 8 | Rosario, Mendoza, San Miguel de Tucumán, Buenos Aires, Santiago… | 1,640,000 | Córdoba | 7%
|
| Saudi Arabia | 26.42819175 | 50.09967037 | 13 | Manama, Doha, Kuwait City, Riyadh, Shiraz… | 2,375,000 | Dammam | 7%
|
| Brazil | -3.750017884 | -38.57998132 | 6 | Natal, Teresina, João Pessoa, Recife, São Luís… | 3,650,000 | Fortaleza | 7%
|
| Malaysia | 5.413613156 | 100.3293679 | 9 | Medan, Kuala Lumpur, Pekanbaru, Singapore, Batam… | 2,050,000 | George Town | 7%
|
| Ecuador | -2.220033754 | -79.92004195 | 3 | Quito, Cali, Bogotá | 3,075,000 | Guayaquil | 7%
|
| Brazil | -7.10113513 | -34.87607117 | 6 | Recife, Natal, Maceió, Fortaleza, Salvador… | 1,140,000 | João Pessoa | 7%
|
| China | 25.06998008 | 102.6799751 | 18 | Guiyang, Yibin, Zunyi, Hanoi, Nanning… | 4,050,000 | Kunming | 7%
|
| Peru | -12.04801268 | -77.05006209 | 0 | 10,300,000 | Lima | 7%
| |
| Brazil | -9.619995505 | -35.72997441 | 6 | Recife, João Pessoa, Natal, Salvador, Fortaleza… | 1,130,000 | Maceió | 7%
|
| Nicaragua | 12.15301658 | -86.26849166 | 6 | Tegucigalpa, San José, San Salvador, San Pedro Sula, Guatemala City… | 1,320,000 | Managua | 7%
|
| Bahrain | 26.23613629 | 50.58305172 | 13 | Dammam, Doha, Riyadh, Shiraz, Abu Dhabi… | 1,470,000 | Manama | 7%
|
| Venezuela | 10.2468797 | -67.59580713 | 11 | Valencia, Caracas, Barquisimeto, Maracaibo, Bucaramanga… | 1,410,000 | Maracay | 7%
|
| Argentina | -32.88333006 | -68.81661117 | 6 | Santiago, Valparaíso, Córdoba, San Miguel de Tucumán, Rosario… | 1,070,000 | Mendoza | 7%
|
| Brazil | -5.780023174 | -35.24000431 | 6 | João Pessoa, Recife, Maceió, Fortaleza, Teresina… | 1,410,000 | Natal | 7%
|
| Pakistan | 30.22000165 | 67.02499385 | 19 | Multan, Kabul, Hyderabad, Karachi, Faisalabad… | 1,080,000 | Quetta | 7%
|
| Ecuador | -0.214988181 | -78.50005111 | 4 | Guayaquil, Cali, Bogotá, Medellín | 2,625,000 | Quito | 7%
|
| Brazil | -8.075645326 | -34.91560551 | 6 | João Pessoa, Maceió, Natal, Fortaleza, Salvador… | 3,800,000 | Recife | 7%
|
| Saudi Arabia | 24.64083315 | 46.77274166 | 13 | Dammam, Manama, Doha, Kuwait City, Basra… | 7,400,000 | Riyadh | 7%
|
| Argentina | -32.95112954 | -60.66630762 | 8 | Buenos Aires, Córdoba, Montevideo, Mendoza, San Miguel de Tucumán… | 1,350,000 | Rosario | 7%
|
| Costa Rica | 9.93501243 | -84.08405135 | 7 | Managua, Panama City, Tegucigalpa, San Salvador, San Pedro Sula… | 2,325,000 | San José | 7%
|
| Brazil | -5.095000388 | -42.7800092 | 8 | São Luís, Fortaleza, Belém, Natal, João Pessoa… | 1,020,000 | Teresina | 7%
|
| Venezuela | 10.22998151 | -67.9800214 | 11 | Maracay, Caracas, Barquisimeto, Maracaibo, Bucaramanga… | 1,990,000 | Valencia | 7%
|
| Thailand | 13.74999921 | 100.5166447 | 6 | Chonburi, Phnom Penh, Yangon, Ho Chi Minh City, George Town… | 18,400,000 | Bangkok | 6%
|
| Thailand | 13.40040814 | 100.9999743 | 6 | Bangkok, Phnom Penh, Yangon, Ho Chi Minh City, George Town… | 1,370,000 | Chonburi | 6%
|
| United Arab Emirates | 24.46668357 | 54.36659338 | 11 | Dubai, Doha, Manama, Muscat, Dammam… | 1,360,000 | Abu Dhabi | 5%
|
| Republic of the Congo | -4.259185772 | 15.28468949 | 6 | Kinshasa, Pointe-Noire, Luanda, Kananga, Mbuji-Mayi… | 2,100,000 | Brazzaville | 5%
|
| Argentina | -34.60250161 | -58.39753137 | 5 | Montevideo, Rosario, Córdoba, Porto Alegre, Mendoza | 16,100,000 | Buenos Aires | 5%
|
| Qatar | 25.28655601 | 51.53296789 | 11 | Manama, Dammam, Abu Dhabi, Dubai, Riyadh… | 2,325,000 | Doha | 5%
|
| United Arab Emirates | 25.22999615 | 55.27997432 | 11 | Abu Dhabi, Doha, Muscat, Manama, Dammam… | 4,625,000 | Dubai | 5%
|
| Vietnam | 10.78002545 | 106.6950272 | 4 | Phnom Penh, Chonburi, Bangkok, George Town | 8,350,000 | Ho Chi Minh City | 5%
|
| Democratic Republic of the Congo | -5.896294 | 22.417602 | 6 | Mbuji-Mayi, Kisangani, Kinshasa, Brazzaville, Lubumbashi… | 1,150,000 | Kananga | 5%
|
| Democratic Republic of the Congo | -4.329724102 | 15.31497188 | 6 | Brazzaville, Pointe-Noire, Luanda, Kananga, Mbuji-Mayi… | 11,600,000 | Kinshasa | 5%
|
| Angola | -8.838286114 | 13.23442704 | 3 | Pointe-Noire, Kinshasa, Brazzaville | 7,650,000 | Luanda | 5%
|
| Nigeria | 11.84996014 | 13.16001298 | 8 | N'Djamena, Kano, Kaduna, Abuja, Yaoundé… | 1,130,000 | Maiduguri | 5%
|
| Democratic Republic of the Congo | -6.150026429 | 23.59999589 | 6 | Kananga, Lubumbashi, Kisangani, Kigali, Kinshasa… | 1,930,000 | Mbuji-Mayi | 5%
|
| Uruguay | -34.85804157 | -56.17105229 | 4 | Buenos Aires, Rosario, Porto Alegre, Córdoba | 1,840,000 | Montevideo | 5%
|
| Chad | 12.11309654 | 15.04914831 | 6 | Maiduguri, Kano, Kaduna, Abuja, Bangui… | 1,310,000 | N'Djamena | 5%
|
| Cambodia | 11.55003013 | 104.9166345 | 5 | Ho Chi Minh City, Chonburi, Bangkok, George Town, Kuala Lumpur | 2,075,000 | Phnom Penh | 5%
|
| Republic of the Congo | -4.77609 | 11.86352 | 4 | Brazzaville, Kinshasa, Luanda, Yaoundé | 1,090,000 | Pointe-Noire | 5%
|
| South Africa | -33.97003375 | 25.60002885 | 3 | Cape Town, Durban, Johannesburg | 1,300,000 | Port Elizabeth | 5%
|
| Guinea | 9.531522846 | -13.68023503 | 6 | Freetown, Monrovia, Touba, Dakar, Bamako… | 2,375,000 | Conakry | 4%
|
| Sierra Leone | 8.470011412 | -13.23421574 | 5 | Conakry, Monrovia, Bamako, Touba, Dakar | 1,650,000 | Freetown | 4%
|
| Guatemala | 14.62113466 | -90.52696558 | 7 | San Salvador, San Pedro Sula, Tegucigalpa, Managua, Mérida… | 3,100,000 | Guatemala City | 4%
|
| Oman | 23.61332481 | 58.59331213 | 7 | Dubai, Abu Dhabi, Doha, Manama, Karachi… | 1,300,000 | Muscat | 4%
|
| Argentina | -26.81015 | -65.215398 | 6 | Córdoba, Mendoza, Asunción, Rosario, Santiago… | 1,000,000 | San Miguel de Tucumán | 4%
|
| Honduras | 15.50002159 | -88.02998621 | 6 | Tegucigalpa, San Salvador, Guatemala City, Managua, Mérida… | 1,160,000 | San Pedro Sula | 4%
|
| El Salvador | 13.71000165 | -89.20304122 | 6 | Guatemala City, Tegucigalpa, San Pedro Sula, Managua, San José… | 1,840,000 | San Salvador | 4%
|
| Chile | -33.45001382 | -70.66704085 | 5 | Valparaíso, Mendoza, Córdoba, San Miguel de Tucumán, Rosario | 7,050,000 | Santiago | 4%
|
| Honduras | 14.1020449 | -87.21752934 | 6 | San Pedro Sula, San Salvador, Managua, Guatemala City, San José… | 1,130,000 | Tegucigalpa | 4%
|
| Senegal | 14.86881 | -15.892418 | 5 | Dakar, Nouakchott, Conakry, Freetown, Bamako | 1,000,000 | Touba | 4%
|
| Morocco | 30.43998822 | -9.620043581 | 8 | Marrakesh, Casablanca, Rabat, Fez, Tangier… | 1,150,000 | Agadir | 3%
|
| Mali | 12.65001467 | -8.000039105 | 7 | Ouagadougou, Conakry, Freetown, Monrovia, Touba… | 3,250,000 | Bamako | 3%
|
| South Africa | -33.92001097 | 18.43498816 | 1 | Port Elizabeth | 4,125,000 | Cape Town | 3%
|
| Senegal | 14.71583173 | -17.47313013 | 4 | Touba, Nouakchott, Conakry, Freetown | 3,500,000 | Dakar | 3%
|
| China | 46.57995913 | 125.0000081 | 14 | Qiqihar, Harbin, Changchun, Jilin, Shenyang… | 1,650,000 | Daqing | 3%
|
| Tanzania | -6.800012595 | 39.26834184 | 3 | Mombasa, Nairobi, Lilongwe | 5,900,000 | Dar es Salaam | 3%
|
| South Africa | -29.865013 | 30.98001054 | 3 | Maputo, Johannesburg, Port Elizabeth | 3,325,000 | Durban | 3%
|
| Zimbabwe | -17.81778969 | 31.04470943 | 5 | Lusaka, Lilongwe, Lubumbashi, Maputo, Johannesburg | 2,400,000 | Harare | 3%
|
| United States | 21.30687644 | -157.8579979 | 0 | 1,000,000 | Honolulu | 3%
| |
| South Africa | -26.17004474 | 28.03000972 | 4 | Maputo, Durban, Port Elizabeth, Harare | 13,400,000 | Johannesburg | 3%
|
| Afghanistan | 34.51669029 | 69.18326005 | 15 | Peshawar, Rawalpindi, Faisalabad, Quetta, Srinagar… | 4,000,000 | Kabul | 3%
|
| Uganda | 0.316658955 | 32.58332353 | 4 | Kigali, Nairobi, Kisangani, Mombasa | 3,250,000 | Kampala | 3%
|
| Rwanda | -1.953590069 | 30.06053178 | 5 | Kampala, Kisangani, Nairobi, Mbuji-Mayi, Kananga | 1,090,000 | Kigali | 3%
|
| Brazil | -3.100031719 | -60.00001754 | 0 | 2,150,000 | Manaus | 3%
| |
| Mozambique | -25.95527749 | 32.58916296 | 3 | Johannesburg, Durban, Harare | 2,750,000 | Maputo | 3%
|
| Morocco | 31.6299931 | -7.999987428 | 9 | Agadir, Casablanca, Rabat, Fez, Tangier… | 1,110,000 | Marrakesh | 3%
|
| Saudi Arabia | 24.49998903 | 39.5800024 | 7 | Jeddah, Mecca, Riyadh, Amman, Gaza… | 1,440,000 | Medina | 3%
|
| Mexico | 20.96663881 | -89.61663355 | 7 | San Pedro Sula, Guatemala City, Havana, Tegucigalpa, San Salvador… | 1,110,000 | Mérida | 3%
|
| Kenya | -4.040026022 | 39.68991817 | 4 | Dar es Salaam, Nairobi, Mogadishu, Kampala | 1,200,000 | Mombasa | 3%
|
| Kenya | -1.283346742 | 36.81665686 | 4 | Mombasa, Kampala, Dar es Salaam, Kigali | 5,750,000 | Nairobi | 3%
|
| Mauritania | 18.08642702 | -15.97534041 | 3 | Touba, Dakar, Conakry | 1,160,000 | Nouakchott | 3%
|
| China | 47.34497703 | 123.9899922 | 14 | Daqing, Harbin, Changchun, Jilin, Shenyang… | 1,050,000 | Qiqihar | 3%
|
| Brazil | -2.515984681 | -44.26599085 | 3 | Teresina, Belém, Fortaleza | 1,430,000 | São Luís | 3%
|
| Uzbekistan | 41.31170188 | 69.29493282 | 6 | Bishkek, Almaty, Kabul, Peshawar, Rawalpindi… | 2,700,000 | Tashkent | 3%
|
| Chile | -33.04776447 | -71.62101363 | 4 | Santiago, Mendoza, Córdoba, San Miguel de Tucumán | 1,010,000 | Valparaíso | 3%
|
| Paraguay | -25.29640298 | -57.64150517 | 5 | San Miguel de Tucumán, Porto Alegre, Curitiba, Rosario, Córdoba | 2,275,000 | Asunción | 2%
|
| Australia | -27.45503091 | 153.0350927 | 1 | Sydney | 2,950,000 | Brisbane | 2%
|
| Bolivia | -17.41001097 | -66.16997685 | 2 | La Paz, Santa Cruz | 1,300,000 | Cochabamba | 2%
|
| Saudi Arabia | 21.51688946 | 39.21919755 | 5 | Mecca, Medina, Riyadh, Sana'a, Khartoum | 4,625,000 | Jeddah | 2%
|
| Malaysia | 3.166665872 | 101.6999833 | 7 | Pekanbaru, George Town, Singapore, Medan, Batam… | 8,450,000 | Kuala Lumpur | 2%
|
| Bolivia | -16.49797361 | -68.14998519 | 2 | Cochabamba, Santa Cruz | 2,025,000 | La Paz | 2%
|
| Saudi Arabia | 21.43002138 | 39.82003943 | 4 | Jeddah, Medina, Riyadh, Sana'a | 2,000,000 | Mecca | 2%
|
| Indonesia | 3.579973978 | 98.65004024 | 6 | George Town, Kuala Lumpur, Pekanbaru, Singapore, Batam… | 3,525,000 | Medan | 2%
|
| Australia | -37.82003131 | 144.9750162 | 2 | Adelaide, Sydney | 4,550,000 | Melbourne | 2%
|
| Liberia | 6.31055666 | -10.80475163 | 4 | Freetown, Conakry, Abidjan, Bamako | 1,480,000 | Monrovia | 2%
|
| Bolivia | -17.75391762 | -63.22599634 | 2 | Cochabamba, La Paz | 2,000,000 | Santa Cruz | 2%
|
| Australia | -33.92001097 | 151.1851798 | 2 | Melbourne, Brisbane | 5,000,000 | Sydney | 2%
|
| Ethiopia | 9.033310363 | 38.70000443 | 2 | Sana'a, Khartoum | 3,650,000 | Addis Ababa | 1%
|
| Australia | -34.93498777 | 138.6000048 | 1 | Melbourne | 1,320,000 | Adelaide | 1%
|
| Kazakhstan | 43.32498985 | 76.91503617 | 4 | Bishkek, Tashkent, Ürümqi, Astana | 1,970,000 | Almaty | 1%
|
| Madagascar | -18.91663735 | 47.5166239 | 0 | 2,375,000 | Antananarivo | 1%
| |
| Kazakhstan | 51.1801 | 71.44598 | 6 | Omsk, Chelyabinsk, Novosibirsk, Yekaterinburg, Bishkek… | 1,020,000 | Astana | 1%
|
| New Zealand | -36.850013 | 174.7649808 | 0 | 1,550,000 | Auckland | 1%
| |
| Central African Republic | 4.366644306 | 18.55828813 | 4 | Yaoundé, Kisangani, N'Djamena, Douala | 1,130,000 | Bangui | 1%
|
| Brazil | -1.450003236 | -48.48002303 | 2 | São Luís, Teresina | 2,250,000 | Belém | 1%
|
| Kyrgyzstan | 42.87 | 74.59 | 4 | Almaty, Tashkent, Astana, Srinagar | 1,040,000 | Bishkek | 1%
|
| Venezuela | 10.50099855 | -66.91703719 | 9 | Maracay, Valencia, Barquisimeto, Maracaibo, Bucaramanga… | 3,750,000 | Caracas | 1%
|
| Russia | 55.15499127 | 61.43866817 | 7 | Yekaterinburg, Ufa, Perm, Omsk, Samara… | 1,410,000 | Chelyabinsk | 1%
|
| Sudan | 15.58807823 | 32.53417924 | 2 | Jeddah, Addis Ababa | 5,950,000 | Khartoum | 1%
|
| Democratic Republic of the Congo | 0.519536 | 25.193152 | 5 | Kigali, Mbuji-Mayi, Kananga, Kampala, Bangui | 1,090,000 | Kisangani | 1%
|
| Russia | 56.01398277 | 92.86600053 | 1 | Novosibirsk | 1,120,000 | Krasnoyarsk | 1%
|
| Malawi | -13.98329507 | 33.78330196 | 4 | Harare, Lusaka, Lubumbashi, Dar es Salaam | 1,190,000 | Lilongwe | 1%
|
| Democratic Republic of the Congo | -11.6800248 | 27.48001745 | 5 | Lusaka, Lilongwe, Mbuji-Mayi, Harare, Kananga | 2,050,000 | Lubumbashi | 1%
|
| Zambia | -15.41664427 | 28.28332759 | 3 | Harare, Lubumbashi, Lilongwe | 2,475,000 | Lusaka | 1%
|
| Indonesia | -5.139958884 | 119.4320275 | 4 | Denpasar, Surabaya, Malang, Surakarta | 1,880,000 | Makassar | 1%
|
| Somalia | 2.066681334 | 45.36667761 | 1 | Mombasa | 1,830,000 | Mogadishu | 1%
|
| Russia | 55.02996014 | 82.96004187 | 3 | Omsk, Krasnoyarsk, Astana | 1,690,000 | Novosibirsk | 1%
|
| Russia | 54.98998842 | 73.39995357 | 4 | Astana, Novosibirsk, Chelyabinsk, Yekaterinburg | 1,180,000 | Omsk | 1%
|
| Russia | 57.99995974 | 56.24999263 | 7 | Yekaterinburg, Ufa, Chelyabinsk, Kazan, Samara… | 1,110,000 | Perm | 1%
|
| Australia | -31.95501463 | 115.8399987 | 0 | 2,000,000 | Perth | 1%
| |
| Haiti | 18.5410246 | -72.33603459 | 6 | Santo Domingo, San Juan, Maracaibo, Barranquilla, Cartagena… | 3,050,000 | Port-au-Prince | 1%
|
| Yemen | 15.3547333 | 44.20659338 | 3 | Mecca, Jeddah, Addis Ababa | 2,625,000 | Sana'a | 1%
|
| Puerto Rico | 18.44002301 | -66.12997929 | 6 | Santo Domingo, Port-au-Prince, Caracas, Maracay, Valencia… | 2,050,000 | San Juan | 1%
|
| Dominican Republic | 18.47007285 | -69.90008508 | 8 | Port-au-Prince, San Juan, Maracaibo, Barquisimeto, Valencia… | 3,825,000 | Santo Domingo | 1%
|
| Libya | 32.89250002 | 13.18001176 | 3 | Sousse, Tunis, Naples | 1,180,000 | Tripoli | 1%
|
| Russia | 54.78997479 | 56.04003129 | 7 | Chelyabinsk, Perm, Yekaterinburg, Samara, Kazan… | 1,130,000 | Ufa | 1%
|
| Mongolia | 47.9166734 | 106.9166158 | 2 | Baotou, Hohhot | 1,360,000 | Ulaanbaatar | 1%
|
| China | 43.80501223 | 87.57500565 | 1 | Almaty | 3,975,000 | Ürümqi | 1%
|
| Russia | 56.85002993 | 60.59995967 | 7 | Chelyabinsk, Perm, Ufa, Kazan, Samara… | 1,630,000 | Yekaterinburg | 1%
|
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