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All 1M Cities enclosed by 1M City Pairs within 2,000 km - Statistics
General Stats
- This quiz has been taken 202 times
- The average score is 13 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 | # | City | % Correct |
|---|---|---|---|---|---|
| Germany | 50.93000368 | 6.950004434 | 26 | Cologne / Dusseldorf | 41%
|
| Germany | 50.09997683 | 8.67501542 | 34 | Frankfurt | 41%
|
| Germany | 49.50037518 | 8.470015013 | 38 | Mannheim | 41%
|
| Germany | 51.53 | 7.04 | 31 | The Ruhr | 41%
|
| Japan | 35.68501691 | 139.7514074 | 0 | Tokyo | 27%
|
| Mexico | 19.44244244 | -99.1309882 | 0 | Mexico City | 22%
|
| Canada | 49.27341658 | -123.1216442 | 0 | Vancouver | 22%
|
| United States | 42.32996014 | -71.07001367 | 0 | Boston | 19%
|
| Ireland | 53.33306114 | -6.248905682 | 0 | Dublin | 19%
|
| Cuba | 23.13195884 | -82.36418217 | 0 | Havana | 19%
|
| Portugal | 38.72272288 | -9.144866305 | 0 | Lisbon | 19%
|
| United States | 21.30687644 | -157.8579979 | 0 | Honolulu | 18%
|
| United States | 25.7876107 | -80.22410608 | 0 | Miami | 18%
|
| Canada | 45.4166968 | -75.7000153 | 0 | Ottawa | 18%
|
| South Africa | -33.92001097 | 18.43498816 | 0 | Cape Town | 17%
|
| Australia | -31.95501463 | 115.8399987 | 0 | Perth | 16%
|
| Brazil | -15.78334023 | -47.91605229 | 0 | Brasília | 15%
|
| Canada | 51.08299176 | -114.0799982 | 0 | Calgary | 15%
|
| Canada | 53.55002464 | -113.4999819 | 0 | Edmonton | 15%
|
| Peru | -12.04801268 | -77.05006209 | 0 | Lima | 15%
|
| Portugal | 41.15000633 | -8.620001263 | 0 | Porto | 15%
|
| New Zealand | -36.850013 | 174.7649808 | 0 | Auckland | 14%
|
| Australia | -37.82003131 | 144.9750162 | 0 | Melbourne | 14%
|
| United States | 37.74000775 | -122.4599777 | 0 | San Francisco | 14%
|
| Argentina | -34.60250161 | -58.39753137 | 0 | Buenos Aires | 13%
|
| United Kingdom | 55.87440472 | -4.250707236 | 0 | Glasgow | 13%
|
| Chile | -33.45001382 | -70.66704085 | 0 | Santiago | 13%
|
| Egypt | 31.20001935 | 29.94999589 | 0 | Alexandria | 12%
|
| Dominican Republic | 18.47007285 | -69.90008508 | 0 | Santo Domingo | 12%
|
| Australia | -27.45503091 | 153.0350927 | 0 | Brisbane | 11%
|
| Senegal | 14.71583173 | -17.47313013 | 0 | Dakar | 11%
|
| Tanzania | -6.800012595 | 39.26834184 | 0 | Dar es Salaam | 11%
|
| Democratic Republic of the Congo | -4.329724102 | 15.31497188 | 0 | Kinshasa | 11%
|
| Somalia | 2.066681334 | 45.36667761 | 0 | Mogadishu | 11%
|
| Uruguay | -34.85804157 | -56.17105229 | 0 | Montevideo | 11%
|
| Morocco | 34.02529909 | -6.83613082 | 0 | Rabat | 11%
|
| Yemen | 15.3547333 | 44.20659338 | 0 | Sana'a | 11%
|
| Libya | 32.89250002 | 13.18001176 | 0 | Tripoli | 11%
|
| Australia | -34.93498777 | 138.6000048 | 0 | Adelaide | 10%
|
| Haiti | 18.5410246 | -72.33603459 | 0 | Port-au-Prince | 10%
|
| China | 36.08997927 | 120.3300089 | 56 | Qingdao | 10%
|
| Ecuador | -0.214988181 | -78.50005111 | 0 | Quito | 10%
|
| Tunisia | 36.80277814 | 10.1796781 | 0 | Tunis | 10%
|
| Sudan | 15.58807823 | 32.53417924 | 0 | Khartoum | 9%
|
| Canada | 45.49999921 | -73.58329696 | 0 | Montreal | 9%
|
| Japan | 43.07497927 | 141.3400443 | 0 | Sapporo | 9%
|
| Ethiopia | 9.033310363 | 38.70000443 | 0 | Addis Ababa | 8%
|
| Sri Lanka | 6.931965758 | 79.85775061 | 0 | Colombo | 8%
|
| Angola | -8.838286114 | 13.23442704 | 0 | Luanda | 8%
|
| Singapore | 1.293033466 | 103.8558207 | 0 | Singapore | 8%
|
| Madagascar | -18.91663735 | 47.5166239 | 0 | Antananarivo | 7%
|
| France | 44.85001304 | -0.595013063 | 50 | Bordeaux | 7%
|
| Republic of the Congo | -4.259185772 | 15.28468949 | 0 | Brazzaville | 7%
|
| Venezuela | 10.50099855 | -66.91703719 | 0 | Caracas | 7%
|
| Guinea | 9.531522846 | -13.68023503 | 0 | Conakry | 7%
|
| South Africa | -29.865013 | 30.98001054 | 0 | Durban | 7%
|
| Sierra Leone | 8.470011412 | -13.23421574 | 0 | Freetown | 7%
|
| Mexico | 20.67001609 | -103.3300342 | 0 | Guadalajara | 7%
|
| Vietnam | 10.78002545 | 106.6950272 | 0 | Ho Chi Minh City | 7%
|
| Bolivia | -16.49797361 | -68.14998519 | 0 | La Paz | 7%
|
| Mozambique | -25.95527749 | 32.58916296 | 0 | Maputo | 7%
|
| Saudi Arabia | 21.43002138 | 39.82003943 | 0 | Mecca | 7%
|
| United States | 44.97997927 | -93.25178634 | 0 | Minneapolis | 7%
|
| United Kingdom | 55.00037539 | -1.59999048 | 0 | Newcastle | 7%
|
| Puerto Rico | 18.44002301 | -66.12997929 | 0 | San Juan | 7%
|
| Morocco | 30.43998822 | -9.620043581 | 0 | Agadir | 6%
|
| Brazil | -1.450003236 | -48.48002303 | 0 | Belém | 6%
|
| United States | 36.20999778 | -115.2200061 | 0 | Las Vegas | 6%
|
| Brazil | -3.100031719 | -60.00001754 | 0 | Manaus | 6%
|
| Morocco | 31.6299931 | -7.999987428 | 0 | Marrakesh | 6%
|
| Liberia | 6.31055666 | -10.80475163 | 0 | Monrovia | 6%
|
| Brazil | -8.075645326 | -34.91560551 | 0 | Recife | 6%
|
| Tunisia | 35.82999514 | 10.62502559 | 0 | Sousse | 6%
|
| Sweden | 59.35075995 | 18.09733473 | 1 | Stockholm | 6%
|
| Honduras | 14.1020449 | -87.21752934 | 0 | Tegucigalpa | 6%
|
| Mexico | 32.50001752 | -117.079996 | 0 | Tijuana | 6%
|
| Mongolia | 47.9166734 | 106.9166158 | 0 | Ulaanbaatar | 6%
|
| Philippines | 10.31997601 | 123.9000752 | 0 | Cebu | 5%
|
| Philippines | 7.110016906 | 125.6299955 | 0 | Davao | 5%
|
| Indonesia | -8.650028871 | 115.2199849 | 0 | Denpasar | 5%
|
| Ecuador | -2.220033754 | -79.92004195 | 0 | Guayaquil | 5%
|
| China | 45.74998395 | 126.6499849 | 0 | Harbin | 5%
|
| France | 50.64996909 | 3.080008096 | 26 | Lille | 5%
|
| Malawi | -13.98329507 | 33.78330196 | 0 | Lilongwe | 5%
|
| France | 45.77000856 | 4.830030475 | 34 | Lyon | 5%
|
| Saudi Arabia | 24.49998903 | 39.5800024 | 0 | Medina | 5%
|
| Chad | 12.11309654 | 15.04914831 | 0 | N'Djamena | 5%
|
| Mauritania | 18.08642702 | -15.97534041 | 0 | Nouakchott | 5%
|
| Russia | 54.98998842 | 73.39995357 | 0 | Omsk | 5%
|
| United States | 40.7750163 | -111.9300519 | 0 | Salt Lake City | 5%
|
| El Salvador | 13.71000165 | -89.20304122 | 0 | San Salvador | 5%
|
| Switzerland | 47.37998781 | 8.55001013 | 34 | Zurich | 5%
|
| Argentina | -31.39995807 | -64.18229456 | 0 | Córdoba | 4%
|
| Qatar | 25.28655601 | 51.53296789 | 0 | Doha | 4%
|
| China | 36.05602785 | 103.7920003 | 0 | Lanzhou | 4%
|
| Spain | 40.40002626 | -3.683351686 | 7 | Madrid | 4%
|
| Indonesia | -5.139958884 | 119.4320275 | 0 | Makassar | 4%
|
| France | 43.28997906 | 5.37501013 | 36 | Marseille | 4%
|
| Niger | 13.51670595 | 2.116656045 | 0 | Niamey | 4%
|
| Cambodia | 11.55003013 | 104.9166345 | 0 | Phnom Penh | 4%
|
| Australia | -33.92001097 | 151.1851798 | 1 | Sydney | 4%
|
| China | 43.80501223 | 87.57500565 | 0 | Ürümqi | 4%
|
| Myanmar | 16.7833541 | 96.16667761 | 0 | Yangon | 4%
|
| Malaysia | 5.413613156 | 100.3293679 | 0 | George Town | 3%
|
| Brazil | -16.72002724 | -49.30002466 | 0 | Goiânia | 3%
|
| Japan | 34.71807334 | 137.7327193 | 1 | Hamamatsu | 3%
|
| United States | 41.77002016 | -72.67996708 | 1 | Hartford | 3%
|
| India | 10.01500755 | 76.22391557 | 0 | Kochi | 3%
|
| Spain | 36.7204059 | -4.419999228 | 7 | Málaga | 3%
|
| Indonesia | 3.579973978 | 98.65004024 | 0 | Medan | 3%
|
| Kenya | -4.040026022 | 39.68991817 | 0 | Mombasa | 3%
|
| Brazil | -5.780023174 | -35.24000431 | 0 | Natal | 3%
|
| France | 48.86669293 | 2.333335326 | 28 | Paris | 3%
|
| Republic of the Congo | -4.77609 | 11.86352 | 0 | Pointe-Noire | 3%
|
| Czech Republic | 50.08333701 | 14.46597978 | 14 | Prague | 3%
|
| Bolivia | -17.75391762 | -63.22599634 | 0 | Santa Cruz | 3%
|
| Brazil | -2.515984681 | -44.26599085 | 0 | São Luís | 3%
|
| United States | 47.57000205 | -122.339985 | 1 | Seattle | 3%
|
| Spain | 37.40501528 | -5.980007366 | 6 | Seville | 3%
|
| Uzbekistan | 41.31170188 | 69.29493282 | 0 | Tashkent | 3%
|
| Chile | -33.04776447 | -71.62101363 | 0 | Valparaíso | 3%
|
| Poland | 52.25000063 | 20.99999955 | 17 | Warsaw | 3%
|
| Netherlands | 52.34996869 | 4.916640176 | 20 | Amsterdam | 2%
|
| United States | 33.83001385 | -84.39994938 | 23 | Atlanta | 2%
|
| India | 19.89569643 | 75.32030147 | 49 | Aurangabad | 2%
|
| Brazil | -22.90001178 | -47.10002975 | 0 | Campinas | 2%
|
| United States | 35.20499453 | -80.83003809 | 27 | Charlotte | 2%
|
| Bolivia | -17.41001097 | -66.16997685 | 0 | Cochabamba | 2%
|
| China | 38.92283839 | 121.6298308 | 50 | Dalian | 2%
|
| China | 46.57995913 | 125.0000081 | 0 | Daqing | 2%
|
| United States | 42.32996014 | -83.08005579 | 13 | Detroit | 2%
|
| Ukraine | 48.47997235 | 35.00002356 | 6 | Dnipro | 2%
|
| Ukraine | 48.00000165 | 37.82998002 | 8 | Donetsk | 2%
|
| Germany | 53.55002464 | 9.999999144 | 28 | Hamburg | 2%
|
| Germany | 52.36697023 | 9.716657266 | 34 | Hanover | 2%
|
| China | 31.85003135 | 117.2800142 | 50 | Hefei | 2%
|
| United States | 30.33002077 | -81.66998682 | 5 | Jacksonville | 2%
|
| Poland | 50.26038047 | 19.02001705 | 24 | Katowice | 2%
|
| Ukraine | 50.43336733 | 30.51662797 | 10 | Kiev | 2%
|
| United Kingdom | 53.83000755 | -1.580017539 | 3 | Leeds | 2%
|
| Mexico | 21.1499868 | -101.7000304 | 0 | León | 2%
|
| United Kingdom | 53.41600181 | -2.917997886 | 2 | Liverpool | 2%
|
| United States | 38.22501691 | -85.74870427 | 13 | Louisville | 2%
|
| Zambia | -15.41664427 | 28.28332759 | 1 | Lusaka | 2%
|
| Nigeria | 11.84996014 | 13.16001298 | 0 | Maiduguri | 2%
|
| United Kingdom | 53.50041526 | -2.247987103 | 3 | Manchester | 2%
|
| Argentina | -32.88333006 | -68.81661117 | 0 | Mendoza | 2%
|
| Germany | 48.12994204 | 11.57499345 | 19 | Munich | 2%
|
| China | 32.05001914 | 118.7799743 | 50 | Nanjing | 2%
|
| United States | 40.74997906 | -73.98001693 | 3 | New York | 2%
|
| United Kingdom | 52.97034426 | -1.170016725 | 4 | Nottingham | 2%
|
| Germany | 49.44999066 | 11.0799849 | 23 | Nuremberg | 2%
|
| Russia | 57.99995974 | 56.24999263 | 0 | Perm | 2%
|
| South Africa | -33.97003375 | 25.60002885 | 1 | Port Elizabeth | 2%
|
| China | 47.34497703 | 123.9899922 | 0 | Qiqihar | 2%
|
| India | 22.31001935 | 70.80000891 | 9 | Rajkot | 2%
|
| United States | 35.81878135 | -78.64469344 | 15 | Raleigh | 2%
|
| Honduras | 15.50002159 | -88.02998621 | 0 | San Pedro Sula | 2%
|
| Japan | 34.98583478 | 138.3853926 | 0 | Shizuoka | 2%
|
| United Kingdom | 50.90003135 | -1.399976849 | 2 | Southampton | 2%
|
| Mexico | 19.3303821 | -99.66999923 | 0 | Toluca | 2%
|
| Brazil | -20.32399331 | -40.36599634 | 0 | Vitória | 2%
|
| China | 32.39999778 | 119.4300122 | 62 | Yangzhou | 2%
|
| China | 32.21998293 | 119.4300122 | 59 | Zhenjiang | 2%
|
| Nigeria | 5.100397968 | 7.34998002 | 4 | Aba | 1%
|
| Turkey | 36.99498863 | 35.32000403 | 12 | Adana | 1%
|
| India | 23.03005292 | 72.58000362 | 15 | Ahmedabad | 1%
|
| Algeria | 36.7630648 | 3.05055253 | 10 | Algiers | 1%
|
| Belgium | 51.22037355 | 4.415017048 | 33 | Antwerp | 1%
|
| Kazakhstan | 51.1801 | 71.44598 | 2 | Astana | 1%
|
| Paraguay | -25.29640298 | -57.64150517 | 2 | Asunción | 1%
|
| Iraq | 33.3386485 | 44.39386877 | 24 | Baghdad | 1%
|
| Indonesia | -5.430018698 | 105.2699979 | 0 | Bandar Lampung | 1%
|
| India | 12.96999514 | 77.56000972 | 4 | Bangalore | 1%
|
| Thailand | 13.74999921 | 100.5166447 | 3 | Bangkok | 1%
|
| Spain | 41.38329958 | 2.183370319 | 24 | Barcelona | 1%
|
| Iraq | 30.51352378 | 47.81355668 | 8 | Basra | 1%
|
| Indonesia | 1.056 | 104.042 | 0 | Batam | 1%
|
| Serbia | 44.81864545 | 20.46799068 | 29 | Belgrade | 1%
|
| Nigeria | 6.340477314 | 5.620008096 | 8 | Benin City | 1%
|
| Germany | 52.52181866 | 13.40154862 | 22 | Berlin | 1%
|
| India | 21.2166667 | 81.4333333 | 48 | Bhilai | 1%
|
| United Kingdom | 52.47497398 | -1.919996787 | 2 | Birmingham | 1%
|
| Belgium | 50.83331708 | 4.333316608 | 34 | Brussels | 1%
|
| Romania | 44.4333718 | 26.09994665 | 16 | Bucharest | 1%
|
| Hungary | 47.50000633 | 19.08332068 | 25 | Budapest | 1%
|
| Turkey | 40.1999868 | 29.06999792 | 7 | Bursa | 1%
|
| South Korea | 35.09505292 | 129.0100476 | 50 | Busan | 1%
|
| Colombia | 10.39973859 | -75.51439356 | 4 | Cartagena | 1%
|
| Morocco | 33.59997622 | -7.616367433 | 2 | Casablanca | 1%
|
| South Korea | 35.21910219 | 128.583562 | 50 | Changwon | 1%
|
| United States | 41.82999066 | -87.75005497 | 3 | Chicago | 1%
|
| Mexico | 31.69037701 | -106.4900481 | 17 | Ciudad Juárez | 1%
|
| United States | 41.4699868 | -81.69499821 | 14 | Cleveland | 1%
|
| Denmark | 55.67856419 | 12.56348575 | 22 | Copenhagen | 1%
|
| Benin | 6.400008564 | 2.519990599 | 9 | Cotonou | 1%
|
| Mexico | 18.92110476 | -99.23999964 | 0 | Cuernavaca | 1%
|
| South Korea | 35.86678876 | 128.6069714 | 50 | Daegu | 1%
|
| United States | 32.82002382 | -96.84001693 | 9 | Dallas | 1%
|
| United States | 31.77998395 | -106.5099952 | 17 | El Paso | 1%
|
| Pakistan | 31.40998069 | 73.10999711 | 4 | Faisalabad | 1%
|
| Morocco | 34.05459963 | -5.000377239 | 1 | Fez | 1%
|
| China | 26.07999595 | 119.3000459 | 15 | Fuzhou | 1%
|
| United States | 36.07000633 | -79.80002344 | 14 | Greensboro | 1%
|
| China | 23.1449813 | 113.3250101 | 15 | Guangzhou | 1%
|
| Pakistan | 32.16042584 | 74.18502193 | 6 | Gujranwala | 1%
|
| Zimbabwe | -17.81778969 | 31.04470943 | 1 | Harare | 1%
|
| United States | 40.27359987 | -76.88474919 | 10 | Harrisburg | 1%
|
| Finland | 60.17556337 | 24.93412634 | 1 | Helsinki | 1%
|
| China | 22.3049809 | 114.1850093 | 13 | Hong Kong | 1%
|
| China | 23.07997235 | 114.3999833 | 14 | Huizhou | 1%
|
| India | 17.39998313 | 78.47995357 | 27 | Hyderabad | 1%
|
| Nigeria | 7.380026264 | 3.929982054 | 6 | Ibadan | 1%
|
| Nigeria | 8.47831 | 4.547402 | 5 | Ilorin | 1%
|
| United States | 39.74998842 | -86.17004806 | 18 | Indianapolis | 1%
|
| India | 22.71505922 | 75.86502274 | 33 | Indore | 1%
|
| Iran | 32.70000531 | 51.7000378 | 10 | Isfahan | 1%
|
| Turkey | 41.10499615 | 29.01000159 | 9 | Istanbul | 1%
|
| India | 23.17505699 | 79.95505733 | 49 | Jabalpur | 1%
|
| China | 31.93 | 120.3 | 75 | Jiangyin | 1%
|
| China | 43.84997072 | 126.5500427 | 0 | Jilin | 1%
|
| China | 35.405 | 116.58139 | 60 | Jining | 1%
|
| Brazil | -7.10113513 | -34.87607117 | 0 | João Pessoa | 1%
|
| India | 26.29176597 | 73.01677283 | 47 | Jodhpur | 1%
|
| South Africa | -26.17004474 | 28.03000972 | 1 | Johannesburg | 1%
|
| Turkey | 38.73495994 | 35.49001949 | 10 | Kayseri | 1%
|
| Russia | 55.74994204 | 49.12634477 | 5 | Kazan | 1%
|
| Bangladesh | 22.839987 | 89.56000077 | 9 | Khulna | 1%
|
| India | 25.17999921 | 75.83499874 | 50 | Kotā | 1%
|
| Russia | 56.01398277 | 92.86600053 | 0 | Krasnoyarsk | 1%
|
| Malaysia | 3.166665872 | 101.6999833 | 5 | Kuala Lumpur | 1%
|
| Ghana | 6.689990864 | -1.630014487 | 6 | Kumasi | 1%
|
| Nigeria | 6.443261653 | 3.391531071 | 7 | Lagos | 1%
|
| China | 35.07998924 | 118.329976 | 50 | Linyi | 1%
|
| Togo | 6.131937072 | 1.222757119 | 6 | Lomé | 1%
|
| United Kingdom | 51.49999473 | -0.116721844 | 5 | London | 1%
|
| Democratic Republic of the Congo | -11.6800248 | 27.48001745 | 3 | Lubumbashi | 1%
|
| India | 26.85503908 | 80.91499874 | 48 | Lucknow | 1%
|
| China | 31.73040041 | 118.4800443 | 50 | Ma'anshan | 1%
|
| India | 9.920026264 | 78.12002722 | 1 | Madurai | 1%
|
| Democratic Republic of the Congo | -6.150026429 | 23.59999589 | 0 | Mbuji-Mayi | 1%
|
| United States | 26.20303754 | -98.22972538 | 9 | McAllen | 1%
|
| United States | 28.08331036 | -80.60832035 | 1 | Melbourne | 1%
|
| Italy | 45.4699752 | 9.20500891 | 24 | Milan | 1%
|
| United States | 43.05265505 | -87.91996708 | 6 | Milwaukee | 1%
|
| Belarus | 53.89997744 | 27.56662716 | 12 | Minsk | 1%
|
| India | 21.16995974 | 79.08999385 | 50 | Nagpur | 1%
|
| China | 32.0303821 | 120.8250175 | 67 | Nantong | 1%
|
| China | 33.00040041 | 112.5300199 | 68 | Nanyang | 1%
|
| United States | 29.99500246 | -90.03996688 | 20 | New Orleans | 1%
|
| Japan | 34.67202964 | 133.9170865 | 16 | Okayama | 1%
|
| Nigeria | 6.140412007 | 6.779988972 | 5 | Onitsha | 1%
|
| Japan | 34.75003522 | 135.4601448 | 6 | Osaka | 1%
|
| Indonesia | -2.980039043 | 104.7500297 | 12 | Palembang | 1%
|
| United States | 39.99997316 | -75.16999597 | 3 | Philadelphia | 1%
|
| United States | 33.53997988 | -112.0699917 | 2 | Phoenix | 1%
|
| United States | 40.4299986 | -79.99998539 | 15 | Pittsburgh | 1%
|
| Nigeria | 4.810002257 | 7.010000772 | 2 | Port Harcourt | 1%
|
| India | 18.53001752 | 73.85000362 | 32 | Pune | 1%
|
| China | 23.7003996 | 113.0300927 | 22 | Qingyuan | 1%
|
| Pakistan | 30.22000165 | 67.02499385 | 8 | Quetta | 1%
|
| United States | 37.55001935 | -77.449986 | 7 | Richmond | 1%
|
| Italy | 41.89595563 | 12.48325842 | 13 | Rome | 1%
|
| Argentina | -32.95112954 | -60.66630762 | 2 | Rosario | 1%
|
| Russia | 47.23464785 | 39.7126558 | 7 | Rostov | 1%
|
| Netherlands | 51.9199691 | 4.479974323 | 29 | Rotterdam | 1%
|
| United States | 38.57502138 | -121.4700381 | 3 | Sacramento | 1%
|
| United States | 29.48733319 | -98.50730534 | 8 | San Antonio | 1%
|
| Brazil | -23.95372393 | -46.33294266 | 2 | Santos | 1%
|
| Brazil | -23.55867959 | -46.62501998 | 2 | São Paulo | 1%
|
| Indonesia | -6.109977194 | 106.1496342 | 0 | Serang | 1%
|
| China | 31.21645245 | 121.4365047 | 75 | Shanghai | 1%
|
| India | 17.6704059 | 75.90000769 | 40 | Solapur | 1%
|
| Germany | 48.77997988 | 9.199996296 | 36 | Stuttgart | 1%
|
| Indonesia | -7.564978822 | 110.8250077 | 2 | Surakarta | 1%
|
| India | 21.19998374 | 72.84003943 | 9 | Surat | 1%
|
| China | 32.4904057 | 119.9000093 | 78 | Taizhou | 1%
|
| Morocco | 35.76727 | -5.79975 | 3 | Tangier | 1%
|
| Brazil | -5.095000388 | -42.7800092 | 1 | Teresina | 1%
|
| China | 39.13002626 | 117.2000191 | 50 | Tianjin | 1%
|
| Canada | 43.69997988 | -79.42002079 | 7 | Toronto | 1%
|
| Senegal | 14.86881 | -15.892418 | 0 | Touba | 1%
|
| France | 43.60426 | 1.44367 | 50 | Toulouse | 1%
|
| Italy | 45.07038719 | 7.669960489 | 28 | Turin | 1%
|
| South Korea | 35.54673077 | 129.3169539 | 50 | Ulsan | 1%
|
| Spain | 39.48501752 | -0.400012046 | 10 | Valencia | 1%
|
| India | 25.32999005 | 83.00003943 | 36 | Varanasi | 1%
|
| Austria | 48.20001528 | 16.36663896 | 22 | Vienna | 1%
|
| Russia | 48.71000999 | 44.49996049 | 7 | Volgograd | 1%
|
| Russia | 51.72998069 | 39.26999548 | 7 | Voronezh | 1%
|
| United States | 38.89954938 | -77.00941858 | 7 | Washington | 1%
|
| China | 28.0199809 | 120.6500927 | 49 | Wenzhou | 1%
|
| China | 30.58003135 | 114.270017 | 56 | Wuhan | 1%
|
| China | 32.01999514 | 112.1300443 | 82 | Xiangyang | 1%
|
| China | 36.6199986 | 101.7700048 | 0 | Xining | 1%
|
| China | 30.69997235 | 111.2800187 | 51 | Yichang | 1%
|
| China | 22.2769444 | 113.5677778 | 11 | Zhuhai | 1%
|
| China | 36.79998761 | 118.049993 | 50 | Zibo | 1%
|
| Ivory Coast | 5.319996967 | -4.04004826 | 3 | Abidjan | 0%
|
| United Arab Emirates | 24.46668357 | 54.36659338 | 2 | Abu Dhabi | 0%
|
| Nigeria | 9.083333149 | 7.533328002 | 8 | Abuja | 0%
|
| Ghana | 5.550034606 | -0.21671574 | 1 | Accra | 0%
|
| India | 27.17042035 | 78.01502071 | 37 | Agra | 0%
|
| Mexico | 21.87945992 | -102.2904135 | 3 | Aguascalientes | 0%
|
| Iran | 31.27998863 | 48.72001298 | 11 | Ahvaz | 0%
|
| Syria | 36.22997072 | 37.1700203 | 10 | Aleppo | 0%
|
| India | 27.89221092 | 78.06178788 | 29 | Alīgarh | 0%
|
| India | 25.45499534 | 81.84000688 | 50 | Allahabad | 0%
|
| Kazakhstan | 43.32498985 | 76.91503617 | 1 | Almaty | 0%
|
| Jordan | 31.95002525 | 35.93329993 | 1 | Amman | 0%
|
| India | 31.63999249 | 74.86999304 | 7 | Amritsar | 0%
|
| Philippines | 15.14505617 | 120.5450862 | 1 | Angeles | 0%
|
| Turkey | 39.92723859 | 32.86439164 | 18 | Ankara | 0%
|
| China | 41.11502138 | 122.9400305 | 24 | Anshan | 0%
|
| Turkey | 36.88998212 | 30.69997595 | 5 | Antalya | 0%
|
| China | 36.09944 | 114.32889 | 50 | Anyang | 0%
|
| India | 23.6833333 | 86.9833333 | 11 | Āsansol | 0%
|
| Turkmenistan | 37.94999493 | 58.38329911 | 2 | Ashgabat | 0%
|
| Greece | 37.98332623 | 23.73332108 | 5 | Athens | 0%
|
| United States | 30.26694969 | -97.74277836 | 8 | Austin | 0%
|
| Azerbaijan | 40.39527203 | 49.86221716 | 3 | Baku | 0%
|
| Mali | 12.65001467 | -8.000039105 | 6 | Bamako | 0%
|
| Indonesia | -6.950029278 | 107.5700126 | 2 | Bandung | 0%
|
| Central African Republic | 4.366644306 | 18.55828813 | 1 | Bangui | 0%
|
| China | 38.87042971 | 115.4800207 | 36 | Baoding | 0%
|
| China | 34.38000612 | 107.1499865 | 16 | Baoji | 0%
|
| China | 40.65220725 | 109.8220198 | 15 | Baotou | 0%
|
| India | 28.34538739 | 79.41999955 | 33 | Bareilly | 0%
|
| Venezuela | 10.04999249 | -69.29996668 | 1 | Barquisimeto | 0%
|
| Colombia | 10.95998863 | -74.79996688 | 4 | Barranquilla | 0%
|
| China | 39.92889223 | 116.3882857 | 37 | Beijing | 0%
|
| Lebanon | 33.87197512 | 35.50970821 | 2 | Beirut | 0%
|
| Brazil | -19.91502602 | -43.91500452 | 1 | Belo Horizonte | 0%
|
| China | 32.94999005 | 117.330037 | 55 | Bengbu | 0%
|
| China | 41.33038291 | 123.7500069 | 13 | Benxi | 0%
|
| India | 23.24998781 | 77.40999304 | 50 | Bhopal | 0%
|
| India | 20.27042808 | 85.82736039 | 8 | Bhubaneswar | 0%
|
| Kyrgyzstan | 42.87 | 74.59 | 3 | Bishkek | 0%
|
| Colombia | 4.596423563 | -74.08334396 | 5 | Bogotá | 0%
|
| Colombia | 7.1300932 | -73.12588302 | 2 | Bucaramanga | 0%
|
| United States | 42.87997825 | -78.88000208 | 6 | Buffalo | 0%
|
| Egypt | 30.04996035 | 31.24996822 | 1 | Cairo | 0%
|
| Colombia | 3.399959126 | -76.49996647 | 2 | Cali | 0%
|
| India | 11.262944 | 75.772417 | 0 | Calicut | 0%
|
| China | 27.52 | 120.42 | 45 | Cangnan | 0%
|
| United States | 26.56285 | -81.94953 | 2 | Cape Coral | 0%
|
| India | 30.71999697 | 76.78000565 | 17 | Chandigarh | 0%
|
| China | 43.86500856 | 125.3399873 | 2 | Changchun | 0%
|
| China | 29.033824 | 111.699599 | 50 | Changde | 0%
|
| China | 28.19996991 | 112.969993 | 73 | Changsha | 0%
|
| China | 31.30047833 | 120.620017 | 67 | Changshu | 0%
|
| China | 31.77998395 | 119.9699792 | 58 | Changzhou | 0%
|
| Russia | 55.15499127 | 61.43866817 | 4 | Chelyabinsk | 0%
|
| China | 30.67000002 | 104.0700195 | 3 | Chengdu | 0%
|
| India | 13.08998781 | 80.27999874 | 4 | Chennai | 0%
|
| China | 42.27001548 | 118.9499898 | 34 | Chifeng | 0%
|
| Bangladesh | 22.32999229 | 91.79996741 | 3 | Chittagong | 0%
|
| Thailand | 13.40040814 | 100.9999743 | 2 | Chonburi | 0%
|
| China | 29.56497703 | 106.5949816 | 24 | Chongqing | 0%
|
| United States | 39.16188479 | -84.45692265 | 14 | Cincinnati | 0%
|
| China | 30.17 | 121.26 | 50 | Cixi | 0%
|
| India | 10.99996035 | 76.95002112 | 2 | Coimbatore | 0%
|
| United States | 39.97997438 | -82.9900096 | 19 | Columbus | 0%
|
| Brazil | -25.420013 | -49.3199976 | 1 | Curitiba | 0%
|
| South Korea | 36.33554567 | 127.425028 | 50 | Daejeon | 0%
|
| Syria | 33.500034 | 36.29999589 | 7 | Damascus | 0%
|
| Saudi Arabia | 26.42819175 | 50.09967037 | 3 | Dammam | 0%
|
| China | 40.08001996 | 113.2999987 | 21 | Datong | 0%
|
| United States | 39.73918805 | -104.984016 | 1 | Denver | 0%
|
| Bangladesh | 23.72305971 | 90.40857947 | 4 | Dhaka | 0%
|
| India | 23.80039349 | 86.41998572 | 16 | Dhanbad | 0%
|
| Cameroon | 4.060409769 | 9.709991006 | 4 | Douala | 0%
|
| United Arab Emirates | 25.22999615 | 55.27997432 | 1 | Dubai | 0%
|
| Brazil | -3.750017884 | -38.57998132 | 1 | Fortaleza | 0%
|
| Japan | 35.15 | 138.674 | 1 | Fuji | 0%
|
| Japan | 33.59501528 | 130.4100138 | 21 | Fukuoka | 0%
|
| China | 32.889124 | 115.821081 | 50 | Fuyang | 0%
|
| China | 25.834555 | 114.93228 | 50 | Ganzhou | 0%
|
| Palestine, State of | 31.52999921 | 34.44501868 | 3 | Gaza | 0%
|
| Turkey | 37.07498374 | 37.38499426 | 11 | Gaziantep | 0%
|
| Guatemala | 14.62113466 | -90.52696558 | 3 | Guatemala City | 0%
|
| China | 25.2799931 | 110.280028 | 24 | Guilin | 0%
|
| China | 26.58004295 | 106.7200386 | 8 | Guiyang | 0%
|
| India | 26.16001691 | 91.76999508 | 1 | Guwahati | 0%
|
| India | 26.2299868 | 78.18007523 | 40 | Gwalior | 0%
|
| South Korea | 35.1709656 | 126.9104341 | 50 | Gwangju | 0%
|
| China | 20.05000226 | 110.3200256 | 2 | Haikou | 0%
|
| China | 36.5799752 | 114.4799784 | 50 | Handan | 0%
|
| China | 30.24997398 | 120.1700187 | 50 | Hangzhou | 0%
|
| Vietnam | 21.03332725 | 105.8500142 | 14 | Hanoi | 0%
|
| China | 26.88002464 | 112.5900162 | 53 | Hengyang | 0%
|
| Japan | 34.3878351 | 132.442913 | 7 | Hiroshima | 0%
|
| China | 40.81997479 | 111.6599955 | 29 | Hohhot | 0%
|
| United States | 29.81997438 | -95.33997929 | 3 | Houston | 0%
|
| China | 33.58000327 | 119.0299849 | 74 | Huai'an | 0%
|
| China | 33.95036826 | 116.7500207 | 66 | Huaibei | 0%
|
| China | 32.62998374 | 116.9799808 | 56 | Huainan | 0%
|
| India | 15.35997845 | 75.12501623 | 22 | Hubli-Dharwad | 0%
|
| Pakistan | 25.379987 | 68.37498897 | 8 | Hyderabad | 0%
|
| Turkey | 38.43614968 | 27.15179401 | 9 | Izmir | 0%
|
| India | 26.92113324 | 75.80998734 | 37 | Jaipur | 0%
|
| Indonesia | -6.174417705 | 106.8294376 | 3 | Jakarta | 0%
|
| India | 31.33492067 | 75.56902014 | 13 | Jalandhar | 0%
|
| India | 22.78753542 | 86.19751868 | 13 | Jamshedpur | 0%
|
| Saudi Arabia | 21.51688946 | 39.21919755 | 1 | Jeddah | 0%
|
| China | 35.2500047 | 113.2200036 | 50 | Jiaozuo | 0%
|
| China | 36.67498232 | 116.9950187 | 50 | Jinan | 0%
|
| China | 30.337345 | 112.233234 | 77 | Jingzhou | 0%
|
| China | 41.12036989 | 121.1000394 | 50 | Jinzhou | 0%
|
| Afghanistan | 34.51669029 | 69.18326005 | 3 | Kabul | 0%
|
| Nigeria | 10.52001548 | 7.440000365 | 3 | Kaduna | 0%
|
| China | 34.85000327 | 114.3500122 | 50 | Kaifeng | 0%
|
| Uganda | 0.316658955 | 32.58332353 | 1 | Kampala | 0%
|
| Democratic Republic of the Congo | -5.896294 | 22.417602 | 2 | Kananga | 0%
|
| Nigeria | 11.99997683 | 8.5200378 | 2 | Kano | 0%
|
| India | 26.4599986 | 80.3199963 | 43 | Kanpur | 0%
|
| United States | 39.10708851 | -94.60409422 | 6 | Kansas City | 0%
|
| Taiwan | 22.63330711 | 120.2666019 | 27 | Kaohsiung | 0%
|
| Pakistan | 24.86999229 | 66.99000891 | 4 | Karachi | 0%
|
| Nepal | 27.71669191 | 85.31664221 | 15 | Kathmandu | 0%
|
| Ukraine | 49.99998293 | 36.25002478 | 2 | Kharkiv | 0%
|
| Rwanda | -1.953590069 | 30.06053178 | 1 | Kigali | 0%
|
| Iraq | 35.4722392 | 44.3922668 | 16 | Kirkuk | 0%
|
| Democratic Republic of the Congo | 0.519536 | 25.193152 | 1 | Kisangani | 0%
|
| Japan | 33.87039899 | 130.8200146 | 13 | Kitakyushu | 0%
|
| India | 22.4949693 | 88.32467566 | 9 | Kolkata | 0%
|
| Turkey | 37.87501243 | 32.47500972 | 9 | Konya | 0%
|
| Japan | 32.80092938 | 130.700642 | 16 | Kumamoto | 0%
|
| China | 25.06998008 | 102.6799751 | 4 | Kunming | 0%
|
| Kuwait | 29.36971763 | 47.97830115 | 6 | Kuwait City | 0%
|
| Pakistan | 31.55997154 | 74.35002478 | 8 | Lahore | 0%
|
| China | 34.60043194 | 119.170028 | 52 | Lianyungang | 0%
|
| China | 24.28000246 | 109.2500134 | 14 | Liuzhou | 0%
|
| United States | 33.98997825 | -118.1799805 | 1 | Los Angeles | 0%
|
| India | 30.92776206 | 75.87225745 | 15 | Ludhiana | 0%
|
| China | 34.67998781 | 112.4700752 | 50 | Luoyang | 0%
|
| Brazil | -9.619995505 | -35.72997441 | 1 | Maceió | 0%
|
| Indonesia | -7.97999225 | 112.610015 | 3 | Malang | 0%
|
| Nicaragua | 12.15301658 | -86.26849166 | 1 | Managua | 0%
|
| Bahrain | 26.23613629 | 50.58305172 | 2 | Manama | 0%
|
| Myanmar | 21.96998842 | 96.08502885 | 2 | Mandalay | 0%
|
| Philippines | 14.60415895 | 120.9822172 | 3 | Manila | 0%
|
| China | 21.92040489 | 110.8700179 | 4 | Maoming | 0%
|
| Venezuela | 10.72997683 | -71.65997766 | 5 | Maracaibo | 0%
|
| Venezuela | 10.2468797 | -67.59580713 | 1 | Maracay | 0%
|
| Iran | 36.27001996 | 59.5699967 | 5 | Mashhad | 0%
|
| Colombia | 6.275003274 | -75.57501001 | 2 | Medellín | 0%
|
| India | 29.00041201 | 77.70000118 | 27 | Meerut | 0%
|
| United States | 35.1199868 | -89.99999516 | 16 | Memphis | 0%
|
| Mexico | 20.96663881 | -89.61663355 | 9 | Mérida | 0%
|
| Mexico | 32.64998252 | -115.4800161 | 4 | Mexicali | 0%
|
| China | 31.46997703 | 104.7699768 | 4 | Mianyang | 0%
|
| Mexico | 25.66999514 | -100.3299848 | 7 | Monterrey | 0%
|
| India | 28.8417912 | 78.75678422 | 26 | Morādābād | 0%
|
| Russia | 55.75216412 | 37.61552283 | 4 | Moscow | 0%
|
| Iraq | 36.34500246 | 43.14500443 | 18 | Mosul | 0%
|
| Pakistan | 30.19997703 | 71.45500769 | 7 | Multan | 0%
|
| India | 19.01699038 | 72.8569893 | 21 | Mumbai | 0%
|
| Oman | 23.61332481 | 58.59331213 | 2 | Muscat | 0%
|
| India | 12.30998374 | 76.66001298 | 3 | Mysore | 0%
|
| Japan | 35.15499758 | 136.9149914 | 3 | Nagoya | 0%
|
| Japan | 26.20717165 | 127.6729716 | 1 | Naha | 0%
|
| Kenya | -1.283346742 | 36.81665686 | 1 | Nairobi | 0%
|
| China | 28.67999229 | 115.8799963 | 61 | Nanchang | 0%
|
| China | 30.78043256 | 106.1299971 | 19 | Nanchong | 0%
|
| China | 22.81998822 | 108.3200443 | 4 | Nanning | 0%
|
| Italy | 40.84002525 | 14.24501135 | 15 | Naples | 0%
|
| India | 20.00041872 | 73.77998205 | 19 | Nashik | 0%
|
| United States | 36.16997438 | -86.77998499 | 20 | Nashville | 0%
|
| India | 28.6699929 | 77.23000403 | 30 | New Delhi | 0%
|
| China | 29.87997072 | 121.5500378 | 50 | Ningbo | 0%
|
| Russia | 56.33300722 | 44.00009436 | 2 | Nizhny Novgorod | 0%
|
| Russia | 55.02996014 | 82.96004187 | 1 | Novosibirsk | 0%
|
| Ukraine | 46.4900163 | 30.71000118 | 14 | Odessa | 0%
|
| United States | 35.47004295 | -97.51868351 | 3 | Oklahoma City | 0%
|
| Algeria | 35.71000246 | -0.61997278 | 4 | Oran | 0%
|
| United States | 28.50997683 | -81.38003036 | 2 | Orlando | 0%
|
| Norway | 59.91669029 | 10.74997921 | 1 | Oslo | 0%
|
| Burkina Faso | 12.37031598 | -1.524723756 | 1 | Ouagadougou | 0%
|
| Panama | 8.96801719 | -79.53303715 | 4 | Panama City | 0%
|
| India | 25.62495913 | 85.13003861 | 21 | Patna | 0%
|
| Indonesia | 0.564964212 | 101.425013 | 2 | Pekanbaru | 0%
|
| Pakistan | 34.00501609 | 71.53500281 | 7 | Peshawar | 0%
|
| China | 27.625711 | 113.851266 | 66 | Pingxiang | 0%
|
| United States | 45.52002382 | -122.6799901 | 1 | Portland | 0%
|
| Brazil | -30.05001463 | -51.20001205 | 6 | Porto Alegre | 0%
|
| Mexico | 19.04995994 | -98.20003727 | 1 | Puebla | 0%
|
| China | 25.43034568 | 119.0200114 | 13 | Putian | 0%
|
| North Korea | 39.0194387 | 125.7546907 | 46 | Pyongyang | 0%
|
| China | 39.93036501 | 119.6200264 | 50 | Qinhuangdao | 0%
|
| Iran | 34.65001548 | 50.95000606 | 7 | Qom | 0%
|
| Mexico | 20.63001853 | -100.3799817 | 5 | Querétaro | 0%
|
| India | 23.37000633 | 85.33002641 | 11 | Ranchi | 0%
|
| Pakistan | 33.59997622 | 73.04002722 | 11 | Rawalpindi | 0%
|
| Brazil | -22.92502317 | -43.22502079 | 1 | Rio de Janeiro | 0%
|
| Saudi Arabia | 24.64083315 | 46.77274166 | 9 | Riyadh | 0%
|
| China | 35.43038129 | 119.4500109 | 50 | Rizhao | 0%
|
| United States | 38.63501772 | -90.23998051 | 11 | Saint Louis | 0%
|
| Russia | 59.93901451 | 30.31602006 | 1 | Saint Petersburg | 0%
|
| India | 11.66999697 | 78.18007523 | 4 | Salem | 0%
|
| Brazil | -12.9699719 | -38.47998743 | 4 | Salvador | 0%
|
| Russia | 53.19500755 | 50.15129512 | 3 | Samara | 0%
|
| United States | 32.82002382 | -117.1799899 | 1 | San Diego | 0%
|
| Costa Rica | 9.93501243 | -84.08405135 | 1 | San José | 0%
|
| Mexico | 22.16997622 | -100.9999956 | 3 | San Luis Potosí | 0%
|
| Argentina | -26.81015 | -65.215398 | 2 | San Miguel de Tucumán | 0%
|
| Russia | 51.57998985 | 46.0299963 | 5 | Saratov | 0%
|
| Indonesia | -6.966617412 | 110.4200195 | 3 | Semarang | 0%
|
| Japan | 38.28710614 | 141.0217175 | 1 | Sendai | 0%
|
| South Korea | 37.5663491 | 126.999731 | 50 | Seoul | 0%
|
| China | 23.37000633 | 116.6700256 | 35 | Shantou | 0%
|
| China | 27.243893 | 111.460598 | 50 | Shaoyang | 0%
|
| United Kingdom | 53.36667666 | -1.499996583 | 1 | Sheffield | 0%
|
| China | 41.80497927 | 123.4499735 | 9 | Shenyang | 0%
|
| China | 38.05001467 | 114.4799784 | 44 | Shijiazhuang | 0%
|
| Iran | 29.62996014 | 52.57001054 | 5 | Shiraz | 0%
|
| Bulgaria | 42.68334943 | 23.31665401 | 13 | Sofia | 0%
|
| India | 34.09997154 | 74.81500932 | 16 | Srinagar | 0%
|
| United States | 37.95813397 | -121.289739 | 1 | Stockton | 0%
|
| China | 33.965778 | 118.279199 | 74 | Suqian | 0%
|
| Indonesia | -7.249235821 | 112.7508333 | 2 | Surabaya | 0%
|
| China | 33.648453 | 116.962201 | 61 | Suzhou | 0%
|
| Iran | 38.08629152 | 46.30124589 | 2 | Tabriz | 0%
|
| China | 36.19999839 | 117.1200756 | 50 | Tai'an | 0%
|
| Taiwan | 24.15207745 | 120.681667 | 25 | Taichung | 0%
|
| Taiwan | 23.00000307 | 120.2000427 | 34 | Tainan | 0%
|
| Taiwan | 25.03583333 | 121.5683333 | 3 | Taipei | 0%
|
| China | 37.87501243 | 112.5450577 | 47 | Taiyuan | 0%
|
| United States | 27.94698793 | -82.45862085 | 2 | Tampa | 0%
|
| China | 39.62433718 | 118.194377 | 50 | Tangshan | 0%
|
| Georgia | 41.72500999 | 44.79079545 | 8 | Tbilisi | 0%
|
| Iran | 35.67194277 | 51.42434403 | 8 | Tehran | 0%
|
| Israel | 32.07999147 | 34.77001176 | 3 | Tel Aviv-Jaffa | 0%
|
| China | 35.098576 | 117.169269 | 68 | Tengzhou | 0%
|
| India | 10.80999778 | 78.68996659 | 1 | Tiruchirappalli | 0%
|
| India | 11.08042055 | 77.32999792 | 3 | Tiruppur | 0%
|
| Mexico | 25.57005292 | -103.4200029 | 9 | Torreón | 0%
|
| Russia | 54.78997479 | 56.04003129 | 1 | Ufa | 0%
|
| India | 22.31001935 | 73.18001868 | 10 | Vadodara | 0%
|
| Venezuela | 10.22998151 | -67.9800214 | 2 | Valencia | 0%
|
| India | 16.51995933 | 80.63000321 | 24 | Vijayawada | 0%
|
| United States | 36.85321433 | -75.97831873 | 5 | Virginia Beach | 0%
|
| India | 17.73001467 | 83.30498205 | 37 | Vishakhapatnam | 0%
|
| China | 30.81999086 | 108.4000394 | 50 | Wanzhou | 0%
|
| China | 36.7204059 | 119.1001098 | 50 | Weifang | 0%
|
| China | 37.512827 | 122.125546 | 50 | Weihai | 0%
|
| China | 31.3504236 | 118.3699735 | 50 | Wuhu | 0%
|
| China | 31.57999615 | 120.2999849 | 63 | Wuxi | 0%
|
| China | 24.44999208 | 118.080017 | 15 | Xiamen | 0%
|
| China | 34.27502545 | 108.8949963 | 50 | Xi'an | 0%
|
| China | 27.85043052 | 112.9000232 | 57 | Xiangtan | 0%
|
| China | 37.04997235 | 114.5000288 | 50 | Xingtai | 0%
|
| China | 35.32043968 | 113.8699898 | 50 | Xinxiang | 0%
|
| China | 34.28001223 | 117.1800203 | 69 | Xuzhou | 0%
|
| China | 33.3855556 | 120.1252778 | 61 | Yancheng | 0%
|
| China | 37.53040814 | 121.4000211 | 50 | Yantai | 0%
|
| Cameroon | 3.866700662 | 11.51665076 | 13 | Yaoundé | 0%
|
| Russia | 56.85002993 | 60.59995967 | 3 | Yekaterinburg | 0%
|
| Armenia | 40.18115074 | 44.51355139 | 6 | Yerevan | 0%
|
| China | 28.750566 | 104.646067 | 7 | Yibin | 0%
|
| China | 38.46797365 | 106.2730375 | 5 | Yinchuan | 0%
|
| China | 40.671116 | 122.228893 | 40 | Yingkou | 0%
|
| China | 29.12004295 | 119.6499987 | 50 | Yiwu | 0%
|
| Indonesia | -7.77995278 | 110.3750093 | 2 | Yogyakarta | 0%
|
| China | 40.83000002 | 114.9299768 | 23 | Zhangjiakou | 0%
|
| China | 21.19998374 | 110.3800219 | 2 | Zhanjiang | 0%
|
| China | 34.75499615 | 113.6650927 | 50 | Zhengzhou | 0%
|
| China | 27.82999249 | 113.1500337 | 71 | Zhuzhou | 0%
|
| China | 27.70002626 | 106.9200264 | 19 | Zunyi | 0%
|
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