6110 lines
198 KiB
MySQL
6110 lines
198 KiB
MySQL
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--
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-- PostgreSQL database dump
|
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--
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-- Dumped from database version 16.3
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-- Dumped by pg_dump version 16.3
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SET statement_timeout = 0;
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SET lock_timeout = 0;
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SET idle_in_transaction_session_timeout = 0;
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SET client_encoding = 'UTF8';
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SET standard_conforming_strings = on;
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SELECT pg_catalog.set_config('search_path', '', false);
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SET check_function_bodies = false;
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SET xmloption = content;
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SET client_min_messages = warning;
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SET row_security = off;
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--
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-- Data for Name: cities; Type: TABLE DATA; Schema: public; Owner: meets
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--
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COPY public.cities (name, lat, lng, country) FROM stdin;
|
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Tokyo 35.6897 139.6922 Japan
|
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Jakarta -6.175 106.8275 Indonesia
|
|||
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Delhi 28.61 77.23 India
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|||
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Guangzhou 23.13 113.26 China
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Mumbai 19.0761 72.8775 India
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Manila 14.5958 120.9772 Philippines
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Shanghai 31.2286 121.4747 China
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Sao Paulo -23.55 -46.6333 Brazil
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|||
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Seoul 37.56 126.99 Korea
|
|||
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Mexico City 19.4333 -99.1333 Mexico
|
|||
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Cairo 30.0444 31.2358 Egypt
|
|||
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New York 40.6943 -73.9249 United States
|
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Dhaka 23.7639 90.3889 Bangladesh
|
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Beijing 39.9067 116.3975 China
|
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Kolkata 22.5675 88.37 India
|
|||
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Bangkok 13.7525 100.4942 Thailand
|
|||
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Shenzhen 22.5415 114.0596 China
|
|||
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|
Moscow 55.7558 37.6172 Russia
|
|||
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Buenos Aires -34.6033 -58.3817 Argentina
|
|||
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Lagos 6.455 3.3841 Nigeria
|
|||
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Istanbul 41.0136 28.955 Turkey
|
|||
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Karachi 24.86 67.01 Pakistan
|
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Bangalore 12.9789 77.5917 India
|
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Ho Chi Minh City 10.7756 106.7019 Vietnam
|
|||
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Osaka 34.6939 135.5022 Japan
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Chengdu 30.66 104.0633 China
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|||
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Tehran 35.6892 51.3889 Iran
|
|||
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Kinshasa -4.3219 15.3119 Congo (Kinshasa)
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Rio de Janeiro -22.9111 -43.2056 Brazil
|
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Chennai 13.0825 80.275 India
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Langfang 39.5383 116.6835 China
|
|||
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Dazhou 31.2093 107.4678 China
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Saint Petersburg 59.9375 30.3086 Russia
|
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Monterrey 25.6667 -100.3 Mexico
|
|||
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Belo Horizonte -19.9167 -43.9333 Brazil
|
|||
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Suzhou 33.6333 116.9683 China
|
|||
|
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Yongzhou 26.42 111.613 China
|
|||
|
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Changde 29.031 111.699 China
|
|||
|
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Xiangyang 32.01 112.122 China
|
|||
|
|
Rangoon 16.795 96.16 Burma
|
|||
|
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Atlanta 33.7628 -84.422 United States
|
|||
|
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Washington 38.9047 -77.0163 United States
|
|||
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Zhaotong 27.338 103.717 China
|
|||
|
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Zhangzhou 24.513 117.647 China
|
|||
|
|
Melbourne -37.8142 144.9631 Australia
|
|||
|
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Yichun 27.816 114.417 China
|
|||
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Bozhou 33.8626 115.7742 China
|
|||
|
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Suqian 33.9331 118.2831 China
|
|||
|
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Abidjan 5.3167 -4.0333 Côte d’Ivoire
|
|||
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Jiangguanchi 34.0244 113.8201 China
|
|||
|
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Meizhou 24.289 116.122 China
|
|||
|
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Urumqi 43.8225 87.6125 China
|
|||
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Suzhou 31.3 120.6194 China
|
|||
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Boston 42.3188 -71.0852 United States
|
|||
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Izmir 38.42 27.14 Turkey
|
|||
|
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Guigang 23.112 109.599 China
|
|||
|
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Shantou 23.354 116.682 China
|
|||
|
|
Kabul 34.5253 69.1783 Afghanistan
|
|||
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Xiaoganzhan 30.918 113.957 China
|
|||
|
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Bamako 12.6392 -8.0028 Mali
|
|||
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Luzhou 28.871 105.442 China
|
|||
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Hefei 31.8206 117.2273 China
|
|||
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Hengshui 37.739 115.669 China
|
|||
|
|
Fortaleza -3.7275 -38.5275 Brazil
|
|||
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Anqing 30.5318 117.1153 China
|
|||
|
|
Liuzhou 24.3264 109.4281 China
|
|||
|
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Zhangjiakou 40.769 114.886 China
|
|||
|
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Zhaoqing 23.05 112.4667 China
|
|||
|
|
Shijiazhuang 38.0425 114.51 China
|
|||
|
|
Ningbo 29.8603 121.6245 China
|
|||
|
|
Qiqihar 47.3549 123.9182 China
|
|||
|
|
Phoenix 33.5722 -112.0892 United States
|
|||
|
|
Fuzhou 27.949 116.358 China
|
|||
|
|
Chifeng 42.257 118.888 China
|
|||
|
|
Xiaoxita 30.692 111.287 China
|
|||
|
|
Amman 31.9497 35.9328 Jordan
|
|||
|
|
Chuzhou 32.256 118.333 China
|
|||
|
|
Linfen 36.088 111.519 China
|
|||
|
|
Qingyuan 23.682 113.056 China
|
|||
|
|
Xianyang 34.3299 108.7088 China
|
|||
|
|
Loudi 27.6998 111.9944 China
|
|||
|
|
Binzhou 37.383 117.971 China
|
|||
|
|
Zhuzhou 27.829 113.133 China
|
|||
|
|
Taiyuan 37.8704 112.5497 China
|
|||
|
|
Nanning 22.8167 108.3275 China
|
|||
|
|
Harbin 45.7576 126.6409 China
|
|||
|
|
Abuja 9.0667 7.4833 Nigeria
|
|||
|
|
Yokohama 35.4442 139.6381 Japan
|
|||
|
|
Suihua 46.654 126.969 China
|
|||
|
|
Zaozhuang 34.8109 117.3238 China
|
|||
|
|
Detroit 42.3834 -83.1024 United States
|
|||
|
|
Xiamen 24.4796 118.0889 China
|
|||
|
|
Neijiang 29.5802 105.058 China
|
|||
|
|
Montreal 45.5089 -73.5617 Canada
|
|||
|
|
Fuzhou 26.0743 119.2964 China
|
|||
|
|
Baicheng 23.903 106.619 China
|
|||
|
|
Wuhu 31.3526 118.4331 China
|
|||
|
|
Yulinshi 38.2858 109.7341 China
|
|||
|
|
Medan 3.5894 98.6739 Indonesia
|
|||
|
|
Wenzhou 27.9938 120.6993 China
|
|||
|
|
Changzhou 31.811 119.974 China
|
|||
|
|
Puyang 35.7627 115.0292 China
|
|||
|
|
Jiaozuo 35.2157 113.2419 China
|
|||
|
|
Nanchang 28.683 115.858 China
|
|||
|
|
Seattle 47.6211 -122.3244 United States
|
|||
|
|
Ibadan 7.3964 3.9167 Nigeria
|
|||
|
|
Casablanca 33.5333 -7.5833 Morocco
|
|||
|
|
Kumasi 6.7 -1.625 Ghana
|
|||
|
|
Deyang 31.127 104.398 China
|
|||
|
|
Busan 35.18 129.075 Korea
|
|||
|
|
Hohhot 40.842 111.749 China
|
|||
|
|
Hechi 24.693 108.085 China
|
|||
|
|
Algiers 36.7539 3.0589 Algeria
|
|||
|
|
Tangshan 39.6294 118.1739 China
|
|||
|
|
Shiyan 32.629 110.7987 China
|
|||
|
|
Lucknow 26.85 80.95 India
|
|||
|
|
Mashhad 36.3264 59.5433 Iran
|
|||
|
|
San Francisco 37.7558 -122.4449 United States
|
|||
|
|
Boankra 6.6944 -1.4028 Ghana
|
|||
|
|
Dubai 25.2631 55.2972 United Arab Emirates
|
|||
|
|
Anshan 41.108 122.994 China
|
|||
|
|
Baojishi 34.363 107.238 China
|
|||
|
|
Qinzhou 21.981 108.654 China
|
|||
|
|
Guiyang 26.647 106.63 China
|
|||
|
|
Bengbu 32.917 117.389 China
|
|||
|
|
Bazhou 31.868 106.748 China
|
|||
|
|
Suining 30.533 105.593 China
|
|||
|
|
Wuxi 31.491 120.312 China
|
|||
|
|
Kotla Qasim Khan 32.5833 73.75 Pakistan
|
|||
|
|
Hanzhong 33.0664 107.0232 China
|
|||
|
|
Putian 25.4526 119.0078 China
|
|||
|
|
Zhenjiang 32.188 119.424 China
|
|||
|
|
Zibo 36.8138 118.055 China
|
|||
|
|
Ankang 32.6854 109.029 China
|
|||
|
|
Mogadishu 2.0392 45.3419 Somalia
|
|||
|
|
Munich 48.1375 11.575 Germany
|
|||
|
|
Gulou 26.0865 119.298 China
|
|||
|
|
Taipei 25.0375 121.5625 Taiwan
|
|||
|
|
Bekasi -6.2349 106.9923 Indonesia
|
|||
|
|
Damascus 33.5131 36.2919 Syria
|
|||
|
|
Sanming 26.2634 117.6389 China
|
|||
|
|
Yangjiang 21.857 111.983 China
|
|||
|
|
Jiamusi 46.8 130.319 China
|
|||
|
|
Luohe 33.583 114.0109 China
|
|||
|
|
Medellin 6.2308 -75.5906 Colombia
|
|||
|
|
Dingxi 35.608 104.592 China
|
|||
|
|
Shaoxing 30.0511 120.5833 China
|
|||
|
|
Yantai 37.4646 121.4478 China
|
|||
|
|
Huizhou 23.112 114.416 China
|
|||
|
|
Lishui 28.468 119.923 China
|
|||
|
|
Xuanzhou 30.939 118.759 China
|
|||
|
|
Khowrhesht 36.205 49.6872 Iran
|
|||
|
|
Mirzapur 25.146 82.569 India
|
|||
|
|
Zigong 29.339 104.779 China
|
|||
|
|
Hamburg 53.55 10 Germany
|
|||
|
|
Guangyuan 32.436 105.844 China
|
|||
|
|
Cali 3.4206 -76.5222 Colombia
|
|||
|
|
Huangshi 30.2011 115.039 China
|
|||
|
|
Xining 36.6224 101.7804 China
|
|||
|
|
Lusaka -15.4167 28.2833 Zambia
|
|||
|
|
Ouagadougou 12.3686 -1.5275 Burkina Faso
|
|||
|
|
Yaounde 3.8667 11.5167 Cameroon
|
|||
|
|
Zhuhai 22.2716 113.5769 China
|
|||
|
|
Huludao 40.711 120.837 China
|
|||
|
|
Baoshan 25.112 99.161 China
|
|||
|
|
Mecca 21.4225 39.8233 Saudi Arabia
|
|||
|
|
Vancouver 49.25 -123.1 Canada
|
|||
|
|
Lianshan 40.7523 120.828 China
|
|||
|
|
Beirut 33.8983 35.5057 Lebanon
|
|||
|
|
Salvador -12.9747 -38.4767 Brazil
|
|||
|
|
Bucharest 44.4325 26.1039 Romania
|
|||
|
|
Longba 33.3702 104.9603 China
|
|||
|
|
Nagpur 21.1497 79.0806 India
|
|||
|
|
Queens 40.7498 -73.7976 United States
|
|||
|
|
Jilin 43.8519 126.5481 China
|
|||
|
|
Tieling 42.2237 123.726 China
|
|||
|
|
Accra 5.55 -0.2 Ghana
|
|||
|
|
Yunfu 22.9152 112.0445 China
|
|||
|
|
Bekasi Kota -6.2333 107 Indonesia
|
|||
|
|
Daegu 35.8717 128.6017 Korea
|
|||
|
|
Ghaziabad 28.67 77.42 India
|
|||
|
|
Luoyang 34.6197 112.4539 China
|
|||
|
|
Brisbane -27.4678 153.0281 Australia
|
|||
|
|
Anshun 26.2531 105.9476 China
|
|||
|
|
Riverside 33.9381 -117.3949 United States
|
|||
|
|
Yingkou 40.625 122.219 China
|
|||
|
|
Colombo 6.9344 79.8428 Sri Lanka
|
|||
|
|
Yanjiang 30.129 104.627 China
|
|||
|
|
Baku 40.3953 49.8822 Azerbaijan
|
|||
|
|
Antananarivo -18.91 47.525 Madagascar
|
|||
|
|
Mudanjiang 44.5514 129.6329 China
|
|||
|
|
Fukuoka 33.59 130.4017 Japan
|
|||
|
|
Harare -17.8292 31.0522 Zimbabwe
|
|||
|
|
Perth -31.9559 115.8606 Australia
|
|||
|
|
St. Louis 38.6359 -90.2451 United States
|
|||
|
|
Phnom Penh 11.5694 104.9211 Cambodia
|
|||
|
|
Depok -6.394 106.8225 Indonesia
|
|||
|
|
Stockholm 59.3294 18.0686 Sweden
|
|||
|
|
Puning 23.298 116.166 China
|
|||
|
|
Huaibei 33.956 116.798 China
|
|||
|
|
Kowloon 22.3167 114.1833 Hong Kong
|
|||
|
|
Cordoba -31.4167 -64.1833 Argentina
|
|||
|
|
Haiphong 20.8651 106.6838 Vietnam
|
|||
|
|
Zamboanga City 6.9042 122.0761 Philippines
|
|||
|
|
Chongzuo 22.377 107.365 China
|
|||
|
|
Rawalpindi 33.6 73.0333 Pakistan
|
|||
|
|
Portland 45.5371 -122.65 United States
|
|||
|
|
Kano 12 8.5167 Nigeria
|
|||
|
|
Yushan 31.322 120.985 China
|
|||
|
|
Havana 23.1367 -82.3589 Cuba
|
|||
|
|
Hezhou 24.4042 111.5672 China
|
|||
|
|
Pingliang 35.5424 106.6649 China
|
|||
|
|
Vadodara 22.3 73.2 India
|
|||
|
|
Manaus -3.1189 -60.0217 Brazil
|
|||
|
|
Qingyang 24.7816 118.5517 China
|
|||
|
|
San Antonio 29.4632 -98.5238 United States
|
|||
|
|
Rajkot 22.3 70.7833 India
|
|||
|
|
Shangzhou 33.868 109.9244 China
|
|||
|
|
Vishakhapatnam 17.7042 83.2978 India
|
|||
|
|
Sanmenxia 34.7732 111.2004 China
|
|||
|
|
Baicheng 45.62 122.838 China
|
|||
|
|
Gujranwala 32.1567 74.19 Pakistan
|
|||
|
|
Aleppo 36.2 37.16 Syria
|
|||
|
|
Tijuana 32.525 -117.0333 Mexico
|
|||
|
|
Bamenda 5.9614 10.1517 Cameroon
|
|||
|
|
Minsk 53.9 27.5667 Belarus
|
|||
|
|
Indore 22.7167 75.8472 India
|
|||
|
|
Karaj 35.8272 50.9489 Iran
|
|||
|
|
Kananga -5.897 22.4488 Congo (Kinshasa)
|
|||
|
|
Peshawar 34.0144 71.5675 Pakistan
|
|||
|
|
Sapporo 43.0619 141.3544 Japan
|
|||
|
|
Sacramento 38.5677 -121.4685 United States
|
|||
|
|
Tilburg 51.55 5.0833 Netherlands
|
|||
|
|
Pingxiang 27.659 113.887 China
|
|||
|
|
Ecatepec 19.6097 -99.06 Mexico
|
|||
|
|
Almaty 43.24 76.915 Kazakhstan
|
|||
|
|
Austin 30.3005 -97.7522 United States
|
|||
|
|
Yinchuan 38.485 106.225 China
|
|||
|
|
Santos -23.9369 -46.325 Brazil
|
|||
|
|
Blantyre -15.7861 35.0058 Malawi
|
|||
|
|
Thane 19.1972 72.9722 India
|
|||
|
|
Orlando 28.4773 -81.337 United States
|
|||
|
|
Tainan 22.9833 120.1833 Taiwan
|
|||
|
|
Xiping 40.082 113.2981 China
|
|||
|
|
Multan 30.1978 71.4697 Pakistan
|
|||
|
|
Santa Cruz -17.8 -63.1833 Bolivia
|
|||
|
|
Port Harcourt 4.8242 7.0336 Nigeria
|
|||
|
|
Jixi 45.295 130.969 China
|
|||
|
|
Fushun 41.881 123.957 China
|
|||
|
|
Warsaw 52.23 21.0111 Poland
|
|||
|
|
Beihai 21.481 109.12 China
|
|||
|
|
Fuxin 42.022 121.67 China
|
|||
|
|
Wuwei 37.929 102.638 China
|
|||
|
|
Siping 43.1668 124.3506 China
|
|||
|
|
San Juan 18.3985 -66.061 Puerto Rico
|
|||
|
|
Mersin 36.8 34.6333 Turkey
|
|||
|
|
Bhopal 23.2599 77.4126 India
|
|||
|
|
Mosul 36.34 43.13 Iraq
|
|||
|
|
Lubumbashi -11.6647 27.4794 Congo (Kinshasa)
|
|||
|
|
Davao 7.07 125.6 Philippines
|
|||
|
|
Curitiba -25.4297 -49.2711 Brazil
|
|||
|
|
San Jose 37.3012 -121.848 United States
|
|||
|
|
Shuyangzha 34.1299 118.7734 China
|
|||
|
|
Adana 37 35.3213 Turkey
|
|||
|
|
Quito -0.22 -78.5125 Ecuador
|
|||
|
|
Pittsburgh 40.4397 -79.9763 United States
|
|||
|
|
Brazzaville -4.2694 15.2711 Congo (Brazzaville)
|
|||
|
|
Hyderabad City 25.3792 68.3683 Pakistan
|
|||
|
|
Diyarbakir 37.91 40.24 Turkey
|
|||
|
|
Indianapolis 39.7771 -86.1458 United States
|
|||
|
|
Pimpri-Chinchwad 18.6186 73.8037 India
|
|||
|
|
Masqat 23.5889 58.4083 Oman
|
|||
|
|
Montevideo -34.8836 -56.1819 Uruguay
|
|||
|
|
Shuozhou 39.3317 112.4329 China
|
|||
|
|
Manhattan 40.7834 -73.9662 United States
|
|||
|
|
Cincinnati 39.1413 -84.506 United States
|
|||
|
|
Kansas City 39.1238 -94.5541 United States
|
|||
|
|
Patna 25.594 85.1376 India
|
|||
|
|
Tegucigalpa 14.1058 -87.2047 Honduras
|
|||
|
|
Kampala 0.3136 32.5811 Uganda
|
|||
|
|
Cleveland 41.4764 -81.6805 United States
|
|||
|
|
Sanzhou 30.82 108.4 China
|
|||
|
|
Changshu 31.656 120.753 China
|
|||
|
|
Heihe 50.2401 127.521 China
|
|||
|
|
Conakry 9.5092 -13.7122 Guinea
|
|||
|
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Ximeicun 24.9612 118.3849 China
|
|||
|
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Caloocan City 14.65 120.97 Philippines
|
|||
|
|
Masvingo -20.0744 30.8328 Zimbabwe
|
|||
|
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Zhongli 24.965 121.2168 Taiwan
|
|||
|
|
Novosibirsk 55.05 82.95 Russia
|
|||
|
|
Bilaspur 22.09 82.15 India
|
|||
|
|
Semarang -6.99 110.4225 Indonesia
|
|||
|
|
Jingdezhen 29.2917 117.1986 China
|
|||
|
|
Ludhiana 30.91 75.85 India
|
|||
|
|
Liaoyang 41.279 123.176 China
|
|||
|
|
Chengtangcun 35.0833 117.15 China
|
|||
|
|
Rajshahi 24.3667 88.6 Bangladesh
|
|||
|
|
Balandougou 13.3558 -9.5517 Mali
|
|||
|
|
Jiangyin 31.839 120.295 China
|
|||
|
|
Valencia 39.47 -0.3764 Spain
|
|||
|
|
Agra 27.18 78.02 India
|
|||
|
|
Leon de los Aldama 21.1167 -101.6833 Mexico
|
|||
|
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Puebla 19.0333 -98.1833 Mexico
|
|||
|
|
Columbus 39.9862 -82.9855 United States
|
|||
|
|
Yopougon 5.3167 -4.0667 Côte d’Ivoire
|
|||
|
|
Hebi 35.748 114.297 China
|
|||
|
|
Shiraz 29.61 52.5425 Iran
|
|||
|
|
Madurai 9.9252 78.1198 India
|
|||
|
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Huzhou 30.8925 120.0875 China
|
|||
|
|
Tabriz 38.0814 46.3006 Iran
|
|||
|
|
Jamshedpur 22.7925 86.1842 India
|
|||
|
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Maracaibo 10.6333 -71.6333 Venezuela
|
|||
|
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Sofia 42.7 23.33 Bulgaria
|
|||
|
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San Jose 9.9325 -84.08 Costa Rica
|
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|
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Prayagraj 25.4358 81.8464 India
|
|||
|
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Palembang -2.9861 104.7556 Indonesia
|
|||
|
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Kawasaki 35.5167 139.7 Japan
|
|||
|
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Kobe 34.69 135.1956 Japan
|
|||
|
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Jiaxing 30.747 120.756 China
|
|||
|
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Kigali -1.9439 30.0594 Rwanda
|
|||
|
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Zhangjiajie 29.117 110.479 China
|
|||
|
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Baiyin 36.5451 104.1389 China
|
|||
|
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Guiping 23.4 110.0833 China
|
|||
|
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Lianjiang 21.7333 110.2833 China
|
|||
|
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Jianguang 28.1958 115.7833 China
|
|||
|
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Yucheng 30.01 103.0415 China
|
|||
|
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Xushan 30.1667 121.2333 China
|
|||
|
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Panama City 8.9833 -79.5167 Panama
|
|||
|
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Nneyi-Umuleri 6.3333 6.8333 Nigeria
|
|||
|
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Leizhou 20.9143 110.0967 China
|
|||
|
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Gwangju 35.1653 126.8486 Korea
|
|||
|
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Katako-Kombe -3.4 24.42 Congo (Kinshasa)
|
|||
|
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Recife -8.05 -34.9 Brazil
|
|||
|
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Nasik 19.9975 73.7898 India
|
|||
|
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Valencia 10.1833 -68 Venezuela
|
|||
|
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Onitsha 6.1667 6.7833 Nigeria
|
|||
|
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Abu Dhabi 24.4667 54.3667 United Arab Emirates
|
|||
|
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Zapopan 20.7167 -103.4 Mexico
|
|||
|
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Daejeon 36.35 127.385 Korea
|
|||
|
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Bronx 40.8501 -73.8662 United States
|
|||
|
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Yekaterinburg 56.8356 60.6128 Russia
|
|||
|
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Huazhou 32.688 112.087 China
|
|||
|
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Jinhua 29.079 119.647 China
|
|||
|
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Kyoto 35.0117 135.7683 Japan
|
|||
|
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Amsterdam 52.3728 4.8936 Netherlands
|
|||
|
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Pizhou 34.398 117.89 China
|
|||
|
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Kismaayo -0.3581 42.5453 Somalia
|
|||
|
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Yangshe 31.8767 120.556 China
|
|||
|
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Virginia Beach 36.7335 -76.0435 United States
|
|||
|
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Dakar 14.6928 -17.4467 Senegal
|
|||
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Goiania -16.6667 -49.25 Brazil
|
|||
|
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Charlotte 35.2083 -80.8303 United States
|
|||
|
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Ubungo -6.7889 39.2056 Tanzania
|
|||
|
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Cologne 50.9364 6.9528 Germany
|
|||
|
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Krasnoyarsk 56.0089 92.8719 Russia
|
|||
|
|
Zhufeng 36 119.4167 China
|
|||
|
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Ezhou 30.3914 114.8949 China
|
|||
|
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Astana 51.1472 71.4222 Kazakhstan
|
|||
|
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Nezahualcoyotl 19.4081 -99.0186 Mexico
|
|||
|
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Nouakchott 18.0858 -15.9785 Mauritania
|
|||
|
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Haora 22.58 88.3294 India
|
|||
|
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Tongjin 37.2333 127.2 Korea
|
|||
|
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Xiashi 30.5333 120.6833 China
|
|||
|
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Yerevan 40.1814 44.5144 Armenia
|
|||
|
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Ranchi 23.36 85.33 India
|
|||
|
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Richmond 37.5295 -77.4756 United States
|
|||
|
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Ciudad Nezahualcoyotl 19.4006 -99.0148 Mexico
|
|||
|
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Gwalior 26.2124 78.1772 India
|
|||
|
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Ottawa 45.4247 -75.695 Canada
|
|||
|
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Zhongwei 37.5002 105.1968 China
|
|||
|
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Oslo 59.9133 10.7389 Norway
|
|||
|
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Goyang 37.65 126.8 Korea
|
|||
|
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Sendai 38.2682 140.8694 Japan
|
|||
|
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Mizhou 35.99 119.3801 China
|
|||
|
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Xishan 27.6461 113.497 China
|
|||
|
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Barquisimeto 10.0636 -69.3347 Venezuela
|
|||
|
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Hegang 47.3501 130.298 China
|
|||
|
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Chandigarh 30.75 76.78 India
|
|||
|
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Voronezh 51.6717 39.2106 Russia
|
|||
|
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Managua 12.1364 -86.2514 Nicaragua
|
|||
|
|
Haldwani 29.22 79.52 India
|
|||
|
|
Vijayawada 16.5193 80.6305 India
|
|||
|
|
Perm 58 56.3167 Russia
|
|||
|
|
Fangchenggang 21.6867 108.3547 China
|
|||
|
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Jiancheng 30.3931 104.5465 China
|
|||
|
|
Cazenga -8.8214 13.2911 Angola
|
|||
|
|
Kisangani 0.5167 25.2 Congo (Kinshasa)
|
|||
|
|
Shouguang 36.857 118.791 China
|
|||
|
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Memphis 35.1087 -89.9663 United States
|
|||
|
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Sao Luis -2.5283 -44.3044 Brazil
|
|||
|
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Jodhpur 26.28 73.02 India
|
|||
|
|
Matola -25.9667 32.4667 Mozambique
|
|||
|
|
Ogbomoso 8.1333 4.25 Nigeria
|
|||
|
|
Sanya 18.2533 109.5036 China
|
|||
|
|
Rangapukur 25.56 89.25 Bangladesh
|
|||
|
|
Ashgabat 37.9375 58.38 Turkmenistan
|
|||
|
|
Wutong 30.6333 120.5333 China
|
|||
|
|
Linhai 28.85 121.1167 China
|
|||
|
|
Denizli 37.7833 29.0964 Turkey
|
|||
|
|
Niamey 13.515 2.1175 Niger
|
|||
|
|
Shubra al Khaymah 30.1286 31.2422 Egypt
|
|||
|
|
Wafangdian 39.6271 121.9796 China
|
|||
|
|
Zhongxiang 31.169 112.5853 China
|
|||
|
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Monrovia 6.3133 -10.8014 Liberia
|
|||
|
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San Cristobal 7.7667 -72.2333 Venezuela
|
|||
|
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Islamabad 33.6931 73.0639 Pakistan
|
|||
|
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Xinyi 22.3549 110.9468 China
|
|||
|
|
Thu Duc 10.8266 106.7609 Vietnam
|
|||
|
|
Morelia 19.7683 -101.1894 Mexico
|
|||
|
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Odesa 46.4775 30.7326 Ukraine
|
|||
|
|
Raipur 21.2444 81.6306 India
|
|||
|
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Changwon 35.2708 128.6631 Korea
|
|||
|
|
Arequipa -16.4 -71.5333 Peru
|
|||
|
|
Volgograd 48.7086 44.5147 Russia
|
|||
|
|
Zaoyang 32.129 112.772 China
|
|||
|
|
Xingyi 25.092 104.8955 China
|
|||
|
|
Shuizhai 33.4433 114.8994 China
|
|||
|
|
Kota 25.18 75.83 India
|
|||
|
|
Quetta 30.1833 67 Pakistan
|
|||
|
|
Quang Ha 15.9333 108.2667 Vietnam
|
|||
|
|
Domaa-Ahenkro 7.2833 -2.8833 Ghana
|
|||
|
|
Bareilly 28.364 79.415 India
|
|||
|
|
Oklahoma City 35.4676 -97.5136 United States
|
|||
|
|
Bordeaux 44.84 -0.58 France
|
|||
|
|
Xingcheng 24.1347 115.73 China
|
|||
|
|
Taixing 32.159 120.029 China
|
|||
|
|
Xinhualu 34.3964 113.7402 China
|
|||
|
|
Lilongwe -13.9833 33.7833 Malawi
|
|||
|
|
Port-au-Prince 18.5333 -72.3333 Haiti
|
|||
|
|
Yingcheng 24.21 113.401 China
|
|||
|
|
Al Mijlad 11.0339 27.74 Sudan
|
|||
|
|
Luocheng 22.7689 111.5697 China
|
|||
|
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Pekanbaru 0.5092 101.4453 Indonesia
|
|||
|
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Natal -6.9838 -60.2699 Brazil
|
|||
|
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Chiba 35.6073 140.1064 Japan
|
|||
|
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Kirkuk 35.4667 44.3167 Iraq
|
|||
|
|
Hartford 41.7661 -72.6834 United States
|
|||
|
|
Huilong 31.87 121.703 China
|
|||
|
|
Wuchuan 21.441 110.779 China
|
|||
|
|
Dnipro 48.4675 35.04 Ukraine
|
|||
|
|
Narayanganj 23.62 90.5 Bangladesh
|
|||
|
|
Gqeberha -33.9581 25.6 South Africa
|
|||
|
|
Malaga 36.7194 -4.42 Spain
|
|||
|
|
Marrakech 31.63 -8.0089 Morocco
|
|||
|
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Cebu City 10.32 123.75 Philippines
|
|||
|
|
Louisville 38.1663 -85.6485 United States
|
|||
|
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Asmara 15.3228 38.925 Eritrea
|
|||
|
|
Coimbatore 11.0167 76.9556 India
|
|||
|
|
Maceio -9.6658 -35.735 Brazil
|
|||
|
|
Nada 19.5209 109.5808 China
|
|||
|
|
Taishan 22.2486 112.785 China
|
|||
|
|
Teresina -5.0949 -42.8042 Brazil
|
|||
|
|
Solapur 17.68 75.92 India
|
|||
|
|
Freetown 8.4844 -13.2344 Sierra Leone
|
|||
|
|
Santo Domingo Este 18.4855 -69.8734 Dominican Republic
|
|||
|
|
Krasnodar 45.0333 38.9667 Russia
|
|||
|
|
Vientiane 17.98 102.63 Laos
|
|||
|
|
Tangier 35.7767 -5.8039 Morocco
|
|||
|
|
Anqiu 36.478 119.219 China
|
|||
|
|
Kermanshah 34.3325 47.0933 Iran
|
|||
|
|
Feicheng 36.1861 116.7719 China
|
|||
|
|
Kibanseke Premiere -4.4419 15.395 Congo (Kinshasa)
|
|||
|
|
Seberang Jaya 5.4083 100.3695 Malaysia
|
|||
|
|
Buffalo 42.9018 -78.8487 United States
|
|||
|
|
Hubli 15.3502 75.1376 India
|
|||
|
|
El Alto -16.5047 -68.1633 Bolivia
|
|||
|
|
Cankaya 39.9244 32.8856 Turkey
|
|||
|
|
Hwasu-dong 37.1997 126.8314 Korea
|
|||
|
|
Setagaya 35.6466 139.6532 Japan
|
|||
|
|
Kecioren 40 32.8667 Turkey
|
|||
|
|
Jerusalem 31.7789 35.2256 Israel
|
|||
|
|
Khartoum North 15.6333 32.6333 Sudan
|
|||
|
|
Meishan 34.1736 112.839 China
|
|||
|
|
Mushin 6.5333 3.35 Nigeria
|
|||
|
|
Trujillo -8.112 -79.0288 Peru
|
|||
|
|
Kitakyushu 33.8833 130.8833 Japan
|
|||
|
|
Aguascalientes 21.876 -102.296 Mexico
|
|||
|
|
New Orleans 30.0687 -89.9288 United States
|
|||
|
|
Fort Worth 32.7817 -97.3474 United States
|
|||
|
|
Taihe 30.8706 105.3784 China
|
|||
|
|
Riga 56.9489 24.1064 Latvia
|
|||
|
|
Laiyang 36.9758 120.7136 China
|
|||
|
|
Barinas 8.6333 -70.2 Venezuela
|
|||
|
|
Jalandhar 31.2569 75.4432 India
|
|||
|
|
Marseille 43.2964 5.37 France
|
|||
|
|
Kaifeng Chengguanzhen 34.8519 114.3481 China
|
|||
|
|
Eskisehir 39.7767 30.5206 Turkey
|
|||
|
|
Gaomi 36.3833 119.75 China
|
|||
|
|
Lhasa 29.6534 91.1719 China
|
|||
|
|
Ipoh 4.5972 101.075 Malaysia
|
|||
|
|
El Paso 31.8476 -106.43 United States
|
|||
|
|
Saltillo 25.4231 -100.9919 Mexico
|
|||
|
|
Dushanbe 38.5367 68.78 Tajikistan
|
|||
|
|
Ikeja 6.6 3.35 Nigeria
|
|||
|
|
El Dorado 24.808 -107.397 Mexico
|
|||
|
|
Cochabamba -17.3883 -66.1597 Bolivia
|
|||
|
|
Portsmouth 50.8058 -1.0872 United Kingdom
|
|||
|
|
Tyumen 57.15 65.5333 Russia
|
|||
|
|
Southampton 50.9025 -1.4042 United Kingdom
|
|||
|
|
Hermosillo 29.0989 -110.9542 Mexico
|
|||
|
|
Wuxi 26.58 111.841 China
|
|||
|
|
Leping 28.978 117.152 China
|
|||
|
|
Cheongju 36.6333 127.4833 Korea
|
|||
|
|
Shache 38.4261 77.25 China
|
|||
|
|
Sale 34.0333 -6.8 Morocco
|
|||
|
|
Hailun 47.4667 126.9667 China
|
|||
|
|
Macheng 31.173 115.008 China
|
|||
|
|
Akure 7.25 5.195 Nigeria
|
|||
|
|
Ilorin 8.5 4.55 Nigeria
|
|||
|
|
Erbil 36.1912 44.0092 Iraq
|
|||
|
|
Kathmandu 27.71 85.32 Nepal
|
|||
|
|
Saratov 51.5333 46.0167 Russia
|
|||
|
|
Iguacu -22.74 -43.47 Brazil
|
|||
|
|
Zijinglu 34.7667 112.9667 China
|
|||
|
|
Turin 45.0792 7.6761 Italy
|
|||
|
|
Yuci 37.6823 112.7281 China
|
|||
|
|
Dehui 44.535 125.703 China
|
|||
|
|
Pietermaritzburg -29.6167 30.3833 South Africa
|
|||
|
|
Durban -29.8833 31.05 South Africa
|
|||
|
|
Bhubaneshwar 20.2644 85.8281 India
|
|||
|
|
Denpasar -8.65 115.2167 Indonesia
|
|||
|
|
Tongchuan 34.897 108.945 China
|
|||
|
|
Joao Pessoa -7.12 -34.88 Brazil
|
|||
|
|
Samarinda -0.5 117.1378 Indonesia
|
|||
|
|
Chengxiang 31.564 121.174 China
|
|||
|
|
Rongjiawan 29.1409 113.1087 China
|
|||
|
|
Weichanglu 37.1792 119.9333 China
|
|||
|
|
Sakai 34.5733 135.4831 Japan
|
|||
|
|
Renqiu 38.686 116.084 China
|
|||
|
|
Omaha 41.2627 -96.0529 United States
|
|||
|
|
Xindi 29.827 113.476 China
|
|||
|
|
Fresno 36.783 -119.7939 United States
|
|||
|
|
An Najaf 32 44.33 Iraq
|
|||
|
|
Cencheng 22.9167 111 China
|
|||
|
|
Sorocaba -23.5017 -47.4581 Brazil
|
|||
|
|
Guli 28.9 120.0333 China
|
|||
|
|
Sagamihara 35.5667 139.3667 Japan
|
|||
|
|
Pishbar 33.3886 59.9789 Iran
|
|||
|
|
Okayama 34.65 133.9167 Japan
|
|||
|
|
Anlu 31.2667 113.6667 China
|
|||
|
|
Concepcion -36.8282 -73.0514 Chile
|
|||
|
|
Mississauga 43.6 -79.65 Canada
|
|||
|
|
Changsha 22.3773 112.6982 China
|
|||
|
|
Songyang 34.4553 113.0253 China
|
|||
|
|
Lviv 49.8425 24.0322 Ukraine
|
|||
|
|
Shihezi 44.3054 86.0804 China
|
|||
|
|
Vilnius 54.6872 25.28 Lithuania
|
|||
|
|
Marka 1.7133 44.7656 Somalia
|
|||
|
|
Enugu 6.4528 7.5111 Nigeria
|
|||
|
|
Valenzuela 14.7 120.98 Philippines
|
|||
|
|
Yatou 37.1653 122.4867 China
|
|||
|
|
Uberlandia -18.9231 -48.2886 Brazil
|
|||
|
|
Xichang 27.8944 102.2644 China
|
|||
|
|
Zaporizhzhia 47.85 35.1175 Ukraine
|
|||
|
|
Bhiwandi 19.2967 73.0631 India
|
|||
|
|
George Town 5.4144 100.3292 Malaysia
|
|||
|
|
Bristol 51.4536 -2.5975 United Kingdom
|
|||
|
|
Charleston 32.8168 -79.9687 United States
|
|||
|
|
Saharanpur 29.964 77.546 India
|
|||
|
|
Dashiqiao 40.6167 122.5167 China
|
|||
|
|
Yenimahalle 39.9719 32.8119 Turkey
|
|||
|
|
Warangal 17.9689 79.5941 India
|
|||
|
|
Nampo 38.7333 125.4 Korea
|
|||
|
|
Dasmarinas 14.33 120.94 Philippines
|
|||
|
|
Jaboatao -8.1803 -35.0014 Brazil
|
|||
|
|
Chisinau 47.0228 28.8353 Moldova
|
|||
|
|
Shiliguri 26.71 88.43 India
|
|||
|
|
Boosaaso 11.2886 49.1819 Somalia
|
|||
|
|
Port Moresby -9.4789 147.1494 Papua New Guinea
|
|||
|
|
Latakia 35.5167 35.7833 Syria
|
|||
|
|
Rochester 43.168 -77.6162 United States
|
|||
|
|
Ribeirao Preto -21.1783 -47.8067 Brazil
|
|||
|
|
Edogawa 35.7 139.8833 Japan
|
|||
|
|
Sao Jose dos Campos -23.1789 -45.8869 Brazil
|
|||
|
|
General Santos 6.12 125.17 Philippines
|
|||
|
|
Hamah 35.1333 36.75 Syria
|
|||
|
|
Qianxi 27.0087 106.0323 China
|
|||
|
|
Bauchi 10.3158 9.8442 Nigeria
|
|||
|
|
Pendik 40.8747 29.235 Turkey
|
|||
|
|
Salem 11.65 78.15 India
|
|||
|
|
Shishi 24.7167 118.7 China
|
|||
|
|
Sinnuris 29.4072 30.8667 Egypt
|
|||
|
|
Cocody 5.35 -3.9667 Côte d’Ivoire
|
|||
|
|
Miluo Chengguanzhen 28.761 113.16 China
|
|||
|
|
Lokoja 7.8019 6.7442 Nigeria
|
|||
|
|
Guadalupe 25.6775 -100.2597 Mexico
|
|||
|
|
Gaizhou 40.4 122.35 China
|
|||
|
|
Qionghu 28.945 112.598 China
|
|||
|
|
Zhaodong 46.051 125.962 China
|
|||
|
|
Puyang Chengguanzhen 35.7004 114.98 China
|
|||
|
|
Bulawayo -20.17 28.58 Zimbabwe
|
|||
|
|
Huambo -12.7767 15.7347 Angola
|
|||
|
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Aracaju -10.9167 -37.05 Brazil
|
|||
|
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Bacoor 14.4624 120.9645 Philippines
|
|||
|
|
Wenchang 31.054 116.9507 China
|
|||
|
|
Rotterdam 51.92 4.48 Netherlands
|
|||
|
|
Tlaquepaque 20.6167 -103.3167 Mexico
|
|||
|
|
Villavicencio 4.15 -73.6333 Colombia
|
|||
|
|
Shulan 44.4059 126.9655 China
|
|||
|
|
Makhachkala 42.9667 47.4833 Russia
|
|||
|
|
Banjarmasin -3.32 114.5925 Indonesia
|
|||
|
|
Narela 28.8527 77.0929 India
|
|||
|
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Catia La Mar 10.6 -67.0333 Venezuela
|
|||
|
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Al Hufuf 25.3833 49.5833 Saudi Arabia
|
|||
|
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Jalingo 8.9 11.3667 Nigeria
|
|||
|
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Sargodha 32.0836 72.6711 Pakistan
|
|||
|
|
Karaikandi 24.8309 92.6143 India
|
|||
|
|
Bouake 7.6833 -5.0167 Côte d’Ivoire
|
|||
|
|
Lingbao Chengguanzhen 34.5176 110.8942 China
|
|||
|
|
Brampton 43.6833 -79.7667 Canada
|
|||
|
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Abomey-Calavi 6.4486 2.3556 Benin
|
|||
|
|
Durango 24.025 -104.6675 Mexico
|
|||
|
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Cape Coral 26.6443 -81.9957 United States
|
|||
|
|
Tondo 14.617 120.967 Philippines
|
|||
|
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Dayrut 27.5667 30.8167 Egypt
|
|||
|
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Tlalnepantla 19.5367 -99.1947 Mexico
|
|||
|
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Ansan 37.3167 126.8333 Korea
|
|||
|
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Xiping 25.6005 103.8166 China
|
|||
|
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Hue 16.4667 107.5792 Vietnam
|
|||
|
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Sanhe 40.0167 117.0833 China
|
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|
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San Jose del Monte 14.8139 121.0453 Philippines
|
|||
|
|
Benghazi 32.1167 20.0667 Libya
|
|||
|
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Chuxiong 25.033 101.5459 China
|
|||
|
|
Barnaul 53.3486 83.7764 Russia
|
|||
|
|
Palermo 38.1111 13.3517 Italy
|
|||
|
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Makati City 14.5567 121.0214 Philippines
|
|||
|
|
Dusseldorf 51.2333 6.7833 Germany
|
|||
|
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Allentown 40.5961 -75.4756 United States
|
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|
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Xinxing 39.8667 124.15 China
|
|||
|
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Tukh 30.3539 31.2007 Egypt
|
|||
|
|
Glasgow 55.8611 -4.25 United Kingdom
|
|||
|
|
Namangan 41.0011 71.6683 Uzbekistan
|
|||
|
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Port Sudan 19.6167 37.2167 Sudan
|
|||
|
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Tuxtla 16.7528 -93.1167 Mexico
|
|||
|
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Dehra Dun 30.345 78.029 India
|
|||
|
|
Xiulin 29.7209 112.4254 China
|
|||
|
|
Florianopolis -27.6122 -48.4853 Brazil
|
|||
|
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Nilufer 40.2833 28.95 Turkey
|
|||
|
|
Antwerp 51.2178 4.4003 Belgium
|
|||
|
|
Kassala 15.45 36.4 Sudan
|
|||
|
|
Aksu 41.185 80.2904 China
|
|||
|
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Salta -24.7833 -65.4167 Argentina
|
|||
|
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Dispur 26.1397 91.7925 India
|
|||
|
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Palm Bay 27.9631 -80.6593 United States
|
|||
|
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Naberezhnyye Chelny 55.6833 52.3167 Russia
|
|||
|
|
Gulbarga 17.329 76.825 India
|
|||
|
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Nansana 0.3639 32.5286 Uganda
|
|||
|
|
Mingguang 32.7833 117.9667 China
|
|||
|
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Concord 37.9722 -122.0016 United States
|
|||
|
|
Beira -19.8333 34.85 Mozambique
|
|||
|
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Yazd 31.8822 54.3397 Iran
|
|||
|
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Ardabil 38.2425 48.29 Iran
|
|||
|
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Touba 14.8667 -15.8833 Senegal
|
|||
|
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Bikaner 28.0181 73.3169 India
|
|||
|
|
Gaobeidian 39.327 115.874 China
|
|||
|
|
Ndola -12.9689 28.6325 Zambia
|
|||
|
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Himeji 34.8167 134.6833 Japan
|
|||
|
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Ailan Mubage 43.908 81.2777 China
|
|||
|
|
Bandar `Abbas 27.1961 56.2878 Iran
|
|||
|
|
Skopje 41.9961 21.4317 North Macedonia
|
|||
|
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Santa Teresa del Tuy 10.2333 -66.6639 Venezuela
|
|||
|
|
Port Said 31.2625 32.3061 Egypt
|
|||
|
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Astrakhan 46.35 48.035 Russia
|
|||
|
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Koto-ku 35.6667 139.8167 Japan
|
|||
|
|
Ciudad Apodaca 25.7817 -100.1886 Mexico
|
|||
|
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Monteria 8.75 -75.8833 Colombia
|
|||
|
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Nuremberg 49.4539 11.0775 Germany
|
|||
|
|
Kitchener 43.4186 -80.4728 Canada
|
|||
|
|
Yucheng 36.934 116.638 China
|
|||
|
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Nagercoil 8.175 77.4306 India
|
|||
|
|
Agartala 23.8314 91.2869 India
|
|||
|
|
Soacha 4.5872 -74.2214 Colombia
|
|||
|
|
Buca 38.35 27.1667 Turkey
|
|||
|
|
Lyon 45.76 4.84 France
|
|||
|
|
Maipu -33.5167 -70.7667 Chile
|
|||
|
|
Arak 34.0914 49.6933 Iran
|
|||
|
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Serra -20.1289 -40.3078 Brazil
|
|||
|
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Tultitlan de Mariano Escobedo 19.645 -99.1694 Mexico
|
|||
|
|
Meknes 33.895 -5.5547 Morocco
|
|||
|
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Bac Ninh 21.1833 106.05 Vietnam
|
|||
|
|
Anda 46.424 125.352 China
|
|||
|
|
Longzhou 30.32 112.23 China
|
|||
|
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Al Fayyum 29.3084 30.8441 Egypt
|
|||
|
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Utsunomiya 36.5551 139.8826 Japan
|
|||
|
|
Sheffield 53.3808 -1.4703 United Kingdom
|
|||
|
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Mixco 14.6331 -90.6064 Guatemala
|
|||
|
|
Suez 29.9667 32.55 Egypt
|
|||
|
|
Heshan 22.7667 112.95 China
|
|||
|
|
Penza 53.2 45 Russia
|
|||
|
|
Loni 28.75 77.28 India
|
|||
|
|
Jiaji 19.2431 110.4642 China
|
|||
|
|
Santa Marta 11.2419 -74.2053 Colombia
|
|||
|
|
Ujjain 23.17 75.79 India
|
|||
|
|
Beining 41.6 121.8 China
|
|||
|
|
Abu Tisht 26.1183 32.0953 Egypt
|
|||
|
|
Maturin 9.75 -63.183 Venezuela
|
|||
|
|
Liverpool 53.4094 -2.9785 United Kingdom
|
|||
|
|
Macapa 0.033 -51.05 Brazil
|
|||
|
|
Benguela -12.55 13.4167 Angola
|
|||
|
|
Yicheng 31.721 112.257 China
|
|||
|
|
Al Fashn 28.8227 30.8992 Egypt
|
|||
|
|
Al `Amarah 31.8333 47.15 Iraq
|
|||
|
|
Carrefour 18.5344 -72.4094 Haiti
|
|||
|
|
Campos -21.7539 -41.3239 Brazil
|
|||
|
|
Cadaado 6.1403 46.6256 Somalia
|
|||
|
|
Encheng 22.1833 112.3 China
|
|||
|
|
Bhilwara 25.35 74.63 India
|
|||
|
|
Biba 28.9218 30.9844 Egypt
|
|||
|
|
Wichita 37.6895 -97.3443 United States
|
|||
|
|
Leicester 52.6344 -1.1319 United Kingdom
|
|||
|
|
Newcastle -27.7464 29.9328 South Africa
|
|||
|
|
Hai Duong 20.9397 106.3306 Vietnam
|
|||
|
|
Aden 12.8 45.0333 Yemen
|
|||
|
|
Jhansi 25.4486 78.5696 India
|
|||
|
|
Matsuyama 33.8333 132.7667 Japan
|
|||
|
|
Ulhasnagar 19.22 73.15 India
|
|||
|
|
Nagqu 31.476 92.051 China
|
|||
|
|
Kitwe -12.8167 28.2 Zambia
|
|||
|
|
Vellore 12.9165 79.1325 India
|
|||
|
|
Toulouse 43.6045 1.444 France
|
|||
|
|
Pohang 36.0322 129.365 Korea
|
|||
|
|
Mesa 33.4015 -111.7178 United States
|
|||
|
|
Lipetsk 52.6167 39.6 Russia
|
|||
|
|
Duisburg 51.4347 6.7625 Germany
|
|||
|
|
Jammu 32.73 74.87 India
|
|||
|
|
Ile-Ife 7.4667 4.5667 Nigeria
|
|||
|
|
Malegaon 20.55 74.55 India
|
|||
|
|
Sao Jose do Rio Preto -20.8081 -49.3811 Brazil
|
|||
|
|
Valletta 35.8983 14.5125 Malta
|
|||
|
|
Kolwezi -10.7167 25.4667 Congo (Kinshasa)
|
|||
|
|
Jamnagar 22.47 70.07 India
|
|||
|
|
Sylhet 24.9 91.8667 Bangladesh
|
|||
|
|
Ananindeua -1.3658 -48.3719 Brazil
|
|||
|
|
East London -33.0175 27.9047 South Africa
|
|||
|
|
Berbera 10.4356 45.0164 Somalia
|
|||
|
|
Jiannan 31.3333 104.2 China
|
|||
|
|
Chiniot 31.7194 72.9842 Pakistan
|
|||
|
|
Asuncion -25.3 -57.6333 Paraguay
|
|||
|
|
Oita 33.2333 131.6067 Japan
|
|||
|
|
Nangong 37.359 115.409 China
|
|||
|
|
Bardoli 21.12 73.12 India
|
|||
|
|
Eldoret 0.5167 35.2833 Kenya
|
|||
|
|
Bratislava 48.1439 17.1097 Slovakia
|
|||
|
|
Kurashiki 34.585 133.7722 Japan
|
|||
|
|
Al Jubayl 27 49.6544 Saudi Arabia
|
|||
|
|
Worthing 50.8147 -0.3714 United Kingdom
|
|||
|
|
Gaya 24.75 85.01 India
|
|||
|
|
Shekhupura 31.7111 73.9878 Pakistan
|
|||
|
|
Piura -5.2 -80.6333 Peru
|
|||
|
|
Vila Velha -20.3364 -40.2936 Brazil
|
|||
|
|
Ar Rusayfah 32.0178 36.0464 Jordan
|
|||
|
|
Jiaojiangcun 28.6804 121.45 China
|
|||
|
|
Laohekou 32.359 111.684 China
|
|||
|
|
San Juan -31.5342 -68.5261 Argentina
|
|||
|
|
Mykolaiv 46.975 31.995 Ukraine
|
|||
|
|
Beian 48.25 126.5167 China
|
|||
|
|
Fujin 47.25 132.0333 China
|
|||
|
|
Kucukcekmece 41 28.8 Turkey
|
|||
|
|
Mazar-e Sharif 36.7 67.1167 Afghanistan
|
|||
|
|
Xiaoyi 36.0833 111.5167 China
|
|||
|
|
Balashikha 55.8167 37.9667 Russia
|
|||
|
|
Qingzhen 26.5704 106.4687 China
|
|||
|
|
Tula 54.2 37.6167 Russia
|
|||
|
|
Ba`qubah 33.75 44.6333 Iraq
|
|||
|
|
Katlehong -26.3333 28.15 South Africa
|
|||
|
|
Jiangshan 28.7361 118.625 China
|
|||
|
|
Buraydah 26.3333 43.9667 Saudi Arabia
|
|||
|
|
Surab 28.4925 66.2597 Pakistan
|
|||
|
|
Kupang -10.1702 123.6077 Indonesia
|
|||
|
|
Ambattur 13.1143 80.1548 India
|
|||
|
|
Nakhon Ratchasima 14.975 102.1 Thailand
|
|||
|
|
Tan Uyen 11.0508 106.7636 Vietnam
|
|||
|
|
Constantine 36.35 6.6 Algeria
|
|||
|
|
Longjiang 27.5819 120.5489 China
|
|||
|
|
Caxias do Sul -29.1667 -51.1833 Brazil
|
|||
|
|
Angeles City 15.1472 120.5847 Philippines
|
|||
|
|
Kuqa 41.7156 82.9322 China
|
|||
|
|
Kanazawa 36.5611 136.6564 Japan
|
|||
|
|
Long Beach 33.7977 -118.167 United States
|
|||
|
|
Port St. Lucie 27.2796 -80.3884 United States
|
|||
|
|
Manado Light 1.4931 124.8413 Indonesia
|
|||
|
|
Kartal 40.8872 29.19 Turkey
|
|||
|
|
Cranbourne -38.0996 145.2834 Australia
|
|||
|
|
Jalgaon 21.004 75.568 India
|
|||
|
|
Porto Velho -8.7619 -63.9039 Brazil
|
|||
|
|
Chhatarpur 24.55 79.3527 India
|
|||
|
|
Fukuyama 34.4858 133.3622 Japan
|
|||
|
|
Little Rock 34.7256 -92.3577 United States
|
|||
|
|
Juba 4.85 31.6 South Sudan
|
|||
|
|
Lanus -34.7 -58.4 Argentina
|
|||
|
|
Amagasaki 34.7333 135.4 Japan
|
|||
|
|
Kikwit -5.0386 18.8181 Congo (Kinshasa)
|
|||
|
|
Pyeongtaek 36.9922 127.1128 Korea
|
|||
|
|
Reno 39.5497 -119.8483 United States
|
|||
|
|
Kurnool 15.83 78.05 India
|
|||
|
|
Spokane 47.6671 -117.433 United States
|
|||
|
|
Marikina City 14.65 121.1 Philippines
|
|||
|
|
Halifax 44.6475 -63.5906 Canada
|
|||
|
|
Fujisawa 35.35 139.4667 Japan
|
|||
|
|
Ulan-Ude 51.8333 107.6 Russia
|
|||
|
|
Denton 33.2175 -97.1418 United States
|
|||
|
|
Laval 45.5833 -73.75 Canada
|
|||
|
|
Jinchang 38.5214 102.188 China
|
|||
|
|
Oakland 37.7904 -122.2166 United States
|
|||
|
|
Springfield 42.1155 -72.5395 United States
|
|||
|
|
Guangming 45.3357 122.7765 China
|
|||
|
|
Augusta 33.3645 -82.0708 United States
|
|||
|
|
Kagithane 41.0719 28.9664 Turkey
|
|||
|
|
Mothihari 26.65 84.9167 India
|
|||
|
|
Aomori 40.8228 140.7469 Japan
|
|||
|
|
Akola 20.7 77 India
|
|||
|
|
Mandaluyong City 14.58 121.03 Philippines
|
|||
|
|
Aves 41.44 -8.3 Portugal
|
|||
|
|
Sihung 37.3799 126.8029 Korea
|
|||
|
|
Burco 9.5279 45.5345 Somalia
|
|||
|
|
Tver 56.8625 35.9242 Russia
|
|||
|
|
Xalapa 19.54 -96.9275 Mexico
|
|||
|
|
Buenaventura 3.8772 -77.0267 Colombia
|
|||
|
|
London 42.9836 -81.2497 Canada
|
|||
|
|
Piracicaba -22.7253 -47.6492 Brazil
|
|||
|
|
Yogyakarta -7.8014 110.3644 Indonesia
|
|||
|
|
Toyota 35.0824 137.1563 Japan
|
|||
|
|
Daloa 6.8833 -6.45 Côte d’Ivoire
|
|||
|
|
Agadir 30.4333 -9.6 Morocco
|
|||
|
|
Elazig 38.6744 39.2228 Turkey
|
|||
|
|
Uijeongbu 37.7486 127.0389 Korea
|
|||
|
|
Hpa-An 16.8906 97.6333 Burma
|
|||
|
|
Rahimyar Khan 28.42 70.3 Pakistan
|
|||
|
|
Ugep 5.8 8.0833 Nigeria
|
|||
|
|
Hailin 44.594 129.38 China
|
|||
|
|
Mishan 45.5298 131.8466 China
|
|||
|
|
Sarajevo 43.8564 18.4131 Bosnia and Herzegovina
|
|||
|
|
Seremban 2.7222 101.9417 Malaysia
|
|||
|
|
Zhengjiatun 43.5183 123.5027 China
|
|||
|
|
Lecheng 25.1333 113.3333 China
|
|||
|
|
Campina Grande -7.2306 -35.8811 Brazil
|
|||
|
|
Xicheng 23.3667 103.15 China
|
|||
|
|
Pencheng 29.676 115.681 China
|
|||
|
|
Kowloon City 22.3282 114.1916 Hong Kong
|
|||
|
|
Tirana 41.3289 19.8178 Albania
|
|||
|
|
Kushtia 23.9101 89.1231 Bangladesh
|
|||
|
|
El Obeid 13.1833 30.2167 Sudan
|
|||
|
|
Maua -23.6678 -46.4608 Brazil
|
|||
|
|
Magnitogorsk 53.3833 59.0333 Russia
|
|||
|
|
Kaunas 54.8972 23.8861 Lithuania
|
|||
|
|
Thanh Hoa 19.8075 105.7764 Vietnam
|
|||
|
|
Diadema -23.6861 -46.6106 Brazil
|
|||
|
|
Lobito -12.3667 13.5333 Angola
|
|||
|
|
Saurimo -9.65 20.4 Angola
|
|||
|
|
Yola 9.23 12.46 Nigeria
|
|||
|
|
Zhugang 28.1358 121.2264 China
|
|||
|
|
Tangail 24.2644 89.9181 Bangladesh
|
|||
|
|
Nha Trang 12.245 109.1917 Vietnam
|
|||
|
|
Khayelitsha -34.0403 18.6778 South Africa
|
|||
|
|
Ad Diwaniyah 31.9892 44.9247 Iraq
|
|||
|
|
Nnewi 6.0167 6.9167 Nigeria
|
|||
|
|
Hancheng 35.4667 110.4333 China
|
|||
|
|
San-Pedro 4.75 -6.6333 Côte d’Ivoire
|
|||
|
|
Gujrat 32.5739 74.0789 Pakistan
|
|||
|
|
Yokosuka 35.2813 139.6721 Japan
|
|||
|
|
Tieli 46.95 128.05 China
|
|||
|
|
Asyut 27.1833 31.1667 Egypt
|
|||
|
|
Gwoza 11.0861 13.6914 Nigeria
|
|||
|
|
Sampaloc 14.6031 121.0022 Philippines
|
|||
|
|
Saki 8.6667 3.4 Nigeria
|
|||
|
|
Bologna 44.4939 11.3428 Italy
|
|||
|
|
Aqtobe 50.2836 57.2297 Kazakhstan
|
|||
|
|
Cilegon -6.0027 106.0112 Indonesia
|
|||
|
|
Uvinza -5.1069 30.3839 Tanzania
|
|||
|
|
Aurora 39.7083 -104.7237 United States
|
|||
|
|
Carapicuiba -23.5192 -46.8358 Brazil
|
|||
|
|
Hafr al Batin 28.4342 45.9636 Saudi Arabia
|
|||
|
|
Zanjan 36.6789 48.5056 Iran
|
|||
|
|
Petrolina -9.3825 -40.5022 Brazil
|
|||
|
|
Bairia 25.7583 84.1489 India
|
|||
|
|
Oyo 7.85 3.933 Nigeria
|
|||
|
|
Taytay 14.5692 121.1325 Philippines
|
|||
|
|
Kisenzi -4.4094 15.3425 Congo (Kinshasa)
|
|||
|
|
Bhatpara 22.87 88.41 India
|
|||
|
|
Kukatpalli 17.4849 78.4138 India
|
|||
|
|
Manisa 38.6144 27.4292 Turkey
|
|||
|
|
Sirur 18.83 74.38 India
|
|||
|
|
Tarlac City 15.4869 120.59 Philippines
|
|||
|
|
Okazaki 34.9543 137.1744 Japan
|
|||
|
|
Lianzhou 24.781 112.377 China
|
|||
|
|
Ceel Baraf 3.2073 45.7587 Somalia
|
|||
|
|
Yidu 30.378 111.45 China
|
|||
|
|
Lingxi 27.5036 120.3975 China
|
|||
|
|
Ilesa 7.6167 4.7167 Nigeria
|
|||
|
|
Kakinada 16.9661 82.255 India
|
|||
|
|
Savar 23.85 90.26 Bangladesh
|
|||
|
|
Nuevo Laredo 27.4861 -99.5069 Mexico
|
|||
|
|
Bawshar 23.5333 58.3833 Oman
|
|||
|
|
Christchurch -43.531 172.6365 New Zealand
|
|||
|
|
Gusau 12.15 6.6667 Nigeria
|
|||
|
|
Zetang 29.238 91.771 China
|
|||
|
|
Palu -0.895 119.8594 Indonesia
|
|||
|
|
Canberra -35.2931 149.1269 Australia
|
|||
|
|
Minamisuita 34.7594 135.5169 Japan
|
|||
|
|
Tetouan 35.5667 -5.3667 Morocco
|
|||
|
|
Malabon 14.66 120.96 Philippines
|
|||
|
|
Neiva 2.9345 -75.2809 Colombia
|
|||
|
|
Novi Sad 45.2542 19.8425 Serbia
|
|||
|
|
Huancayo -12.0667 -75.2167 Peru
|
|||
|
|
Celaya 20.5222 -100.8122 Mexico
|
|||
|
|
Ichinomiya 35.3039 136.8031 Japan
|
|||
|
|
Caruaru -8.2828 -35.9758 Brazil
|
|||
|
|
Sintra 38.7992 -9.3883 Portugal
|
|||
|
|
Hatay 36.2025 36.1606 Turkey
|
|||
|
|
Iquitos -3.75 -73.25 Peru
|
|||
|
|
Panihati 22.69 88.37 India
|
|||
|
|
Cainta 14.57 121.12 Philippines
|
|||
|
|
Helixi 30.6267 118.9861 China
|
|||
|
|
Mamou 10.3833 -12.0833 Guinea
|
|||
|
|
Manukau City -37 174.885 New Zealand
|
|||
|
|
Itaquaquecetuba -23.4864 -46.3486 Brazil
|
|||
|
|
Cantonment 31.5167 74.3833 Pakistan
|
|||
|
|
Rohtak 28.8909 76.5796 India
|
|||
|
|
Gaziantep 37.0628 37.3792 Turkey
|
|||
|
|
Maler Kotla 30.5167 75.8833 India
|
|||
|
|
Bhawana 31.5661 72.6461 Pakistan
|
|||
|
|
Khorramabad 33.4875 48.3561 Iran
|
|||
|
|
Lipa City 13.9411 121.1622 Philippines
|
|||
|
|
Butuan 8.948 125.543 Philippines
|
|||
|
|
Dikirnis 31.0883 31.5969 Egypt
|
|||
|
|
Stoke-on-Trent 53 -2.1833 United Kingdom
|
|||
|
|
Takasaki 36.3219 139.0033 Japan
|
|||
|
|
Malakwal 32.5531 73.2067 Pakistan
|
|||
|
|
Toyohashi 34.7692 137.3915 Japan
|
|||
|
|
Chitungwiza -17.9939 31.0481 Zimbabwe
|
|||
|
|
Gebze 40.8 29.4333 Turkey
|
|||
|
|
Cibinong -6.485 106.842 Indonesia
|
|||
|
|
Lengshuijiang 27.686 111.436 China
|
|||
|
|
Panshi 42.95 126.0667 China
|
|||
|
|
Az Zubayr 30.3833 47.7 Iraq
|
|||
|
|
Oxnard 34.1964 -119.1815 United States
|
|||
|
|
Vinnytsia 49.2333 28.4833 Ukraine
|
|||
|
|
Indio 33.7346 -116.2346 United States
|
|||
|
|
Bharatpur 27.6833 84.4333 Nepal
|
|||
|
|
Petare 10.4833 -66.8167 Venezuela
|
|||
|
|
Nagano 36.6486 138.1947 Japan
|
|||
|
|
Huichang 34.9073 112.7914 China
|
|||
|
|
Keelung 25.1333 121.7333 Taiwan
|
|||
|
|
Bauru -22.315 -49.0608 Brazil
|
|||
|
|
La Florida -33.5333 -70.5833 Chile
|
|||
|
|
Nicolas Romero 19.5833 -99.3667 Mexico
|
|||
|
|
Jinshan 25.1462 102.0723 China
|
|||
|
|
Baguio City 16.4119 120.5933 Philippines
|
|||
|
|
Scranton 41.4044 -75.6649 United States
|
|||
|
|
Bochum 51.4819 7.2158 Germany
|
|||
|
|
Sivas 39.75 37.0167 Turkey
|
|||
|
|
Kolga 22.35 82.68 India
|
|||
|
|
Korba 22.3458 82.6963 India
|
|||
|
|
Qardho 9.5 49.0833 Somalia
|
|||
|
|
Rio Branco -9.9747 -67.81 Brazil
|
|||
|
|
Tecamac 19.7131 -98.9683 Mexico
|
|||
|
|
Alanya 36.55 32 Turkey
|
|||
|
|
Mandaue City 10.33 123.93 Philippines
|
|||
|
|
Victorville 34.5277 -117.3536 United States
|
|||
|
|
Kocaeli 40.7625 29.9175 Turkey
|
|||
|
|
Warri 5.5167 5.75 Nigeria
|
|||
|
|
Victoria 48.4283 -123.3647 Canada
|
|||
|
|
Wonsan 39.1475 127.4461 Korea
|
|||
|
|
Iligan 8.23 124.25 Philippines
|
|||
|
|
Anguo 38.418 115.327 China
|
|||
|
|
Karur 10.9601 78.0766 India
|
|||
|
|
Ponta Grossa -25.0994 -50.1583 Brazil
|
|||
|
|
Sasaram 24.95 84.03 India
|
|||
|
|
Taraz 42.9 71.3667 Kazakhstan
|
|||
|
|
Cubal -13.0333 14.25 Angola
|
|||
|
|
Luena -11.7918 19.9062 Angola
|
|||
|
|
Karnal 29.686 76.989 India
|
|||
|
|
Khanapur 15.6394 74.5083 India
|
|||
|
|
Wad Medani 14.4 33.5167 Sudan
|
|||
|
|
Kusti 13.1667 32.6667 Sudan
|
|||
|
|
Belfast 54.5964 -5.93 United Kingdom
|
|||
|
|
Hosur 12.7409 77.8253 India
|
|||
|
|
Cuddapah 14.47 78.82 India
|
|||
|
|
Nakano 35.7074 139.6638 Japan
|
|||
|
|
Otsu 35.0167 135.85 Japan
|
|||
|
|
Maseru -29.31 27.48 Lesotho
|
|||
|
|
Makiivka 48.0556 37.9611 Ukraine
|
|||
|
|
Pavlodar 52.3 76.95 Kazakhstan
|
|||
|
|
Chon Buri 13.3611 100.985 Thailand
|
|||
|
|
Naga City 13.6244 123.1864 Philippines
|
|||
|
|
Sariyer 41.1669 29.0572 Turkey
|
|||
|
|
Brest 52.1347 23.6569 Belarus
|
|||
|
|
Meram 37.8364 32.4383 Turkey
|
|||
|
|
Gomez Palacio 25.5611 -103.4983 Mexico
|
|||
|
|
Paulista -7.9408 -34.8728 Brazil
|
|||
|
|
Rajahmundry 16.98 81.78 India
|
|||
|
|
Koshigaya 35.8911 139.7909 Japan
|
|||
|
|
Vung Tau 10.3833 107.1167 Vietnam
|
|||
|
|
Jeonju 35.8167 127.15 Korea
|
|||
|
|
Alwar 27.5498 76.6355 India
|
|||
|
|
Tokorozawa 35.7996 139.4686 Japan
|
|||
|
|
Sumqayit 40.5897 49.6686 Azerbaijan
|
|||
|
|
Vitoria da Conquista -14.8658 -40.8389 Brazil
|
|||
|
|
Simferopol 44.9519 34.1022 Ukraine
|
|||
|
|
Buon Ma Thuot 12.6667 108.05 Vietnam
|
|||
|
|
Serekunda 13.4333 -16.6667 Gambia
|
|||
|
|
Islip 40.7385 -73.1888 United States
|
|||
|
|
Cuernavaca 18.9186 -99.2342 Mexico
|
|||
|
|
Markham 43.8767 -79.2633 Canada
|
|||
|
|
Bielefeld 52.0211 8.5347 Germany
|
|||
|
|
Uberaba -19.7478 -47.9319 Brazil
|
|||
|
|
Jitpur 27.6666 85.3333 Nepal
|
|||
|
|
Bydgoszcz 53.1219 18.0003 Poland
|
|||
|
|
Tangdong 25.973 113.231 China
|
|||
|
|
Chinju 35.2 128.0833 Korea
|
|||
|
|
Corpus Christi 27.7254 -97.3767 United States
|
|||
|
|
Fort Wayne 41.0888 -85.1436 United States
|
|||
|
|
Reading 51.4542 -0.9731 United Kingdom
|
|||
|
|
Randburg -26.0936 28.0064 South Africa
|
|||
|
|
Matadi -5.8167 13.4833 Congo (Kinshasa)
|
|||
|
|
Bonn 50.7333 7.1 Germany
|
|||
|
|
Iwaki 37.0505 140.8877 Japan
|
|||
|
|
Oshawa 43.9 -78.85 Canada
|
|||
|
|
Shah Latif Town 24.8806 67.1625 Pakistan
|
|||
|
|
Sambalpur 21.47 83.97 India
|
|||
|
|
Fort Collins 40.5477 -105.0656 United States
|
|||
|
|
Jackson 32.3157 -90.2125 United States
|
|||
|
|
Yingzhong 32.237 119.815 China
|
|||
|
|
Santo Domingo de los Colorados -0.2542 -79.1719 Ecuador
|
|||
|
|
Uruapan 19.4208 -102.0628 Mexico
|
|||
|
|
Lublin 51.25 22.5667 Poland
|
|||
|
|
Licheng 24.5 110.4 China
|
|||
|
|
Tampere 61.4981 23.76 Finland
|
|||
|
|
Belgorod 50.6 36.6 Russia
|
|||
|
|
Muzaffarpur 26.1225 85.3906 India
|
|||
|
|
Vina del Mar -33.0244 -71.5517 Chile
|
|||
|
|
Tepic 21.5083 -104.8931 Mexico
|
|||
|
|
Khipro 25.823 69.377 Pakistan
|
|||
|
|
Hangu 39.232 117.777 China
|
|||
|
|
Asan 36.7833 126.9833 Korea
|
|||
|
|
Chak Jhumra 31.5667 73.1833 Pakistan
|
|||
|
|
Myrtle Beach 33.7094 -78.8844 United States
|
|||
|
|
Soledad de Graciano Sanchez 22.1833 -100.9333 Mexico
|
|||
|
|
Salalah 17.0197 54.0897 Oman
|
|||
|
|
Santarem -2.43 -54.72 Brazil
|
|||
|
|
Yanbu 24.0883 38.0582 Saudi Arabia
|
|||
|
|
Maebashi 36.3895 139.0634 Japan
|
|||
|
|
Kaluga 54.55 36.2833 Russia
|
|||
|
|
Dumai 1.6667 101.45 Indonesia
|
|||
|
|
Beylikduzu 41.0011 28.6419 Turkey
|
|||
|
|
Ganca 40.6828 46.3606 Azerbaijan
|
|||
|
|
Asahikawa 43.7667 142.3667 Japan
|
|||
|
|
Kendari -3.9907 122.5086 Indonesia
|
|||
|
|
Wonju 37.3417 127.9208 Korea
|
|||
|
|
Birkat as Sab` 30.6338 31.0848 Egypt
|
|||
|
|
Lafia 8.4917 8.5167 Nigeria
|
|||
|
|
Dahuk 36.8667 43 Iraq
|
|||
|
|
Finglas 53.4597 -6.2181 Ireland
|
|||
|
|
Kamarhati 22.6686 88.3704 India
|
|||
|
|
Thai Nguyen 21.6 105.85 Vietnam
|
|||
|
|
Bamiantong 44.9167 130.5167 China
|
|||
|
|
Nicosia 35.1725 33.365 Cyprus
|
|||
|
|
Sao Vicente -23.9633 -46.3922 Brazil
|
|||
|
|
Ribeirao das Neves -19.7669 -44.0869 Brazil
|
|||
|
|
Guediawaye 14.7833 -17.4 Senegal
|
|||
|
|
Ciudad Obregon 27.4939 -109.9389 Mexico
|
|||
|
|
Sao Jose dos Pinhais -25.535 -49.2058 Brazil
|
|||
|
|
Campiernagar 27.029 83.2668 India
|
|||
|
|
Phatthaya 12.9357 100.889 Thailand
|
|||
|
|
Fayetteville 35.085 -78.9772 United States
|
|||
|
|
Debrecen 47.53 21.6392 Hungary
|
|||
|
|
Mirpur Mathelo 28.0167 69.5333 Pakistan
|
|||
|
|
Sultanbeyli 40.9683 29.2617 Turkey
|
|||
|
|
Bijapur 16.83 75.71 India
|
|||
|
|
Cabanatuan City 15.4908 120.9678 Philippines
|
|||
|
|
Tharad 24.3926 71.6248 India
|
|||
|
|
Antioch 37.9787 -121.796 United States
|
|||
|
|
Si Racha 13.174 100.93 Thailand
|
|||
|
|
Salamanca 20.5703 -101.1972 Mexico
|
|||
|
|
Ratnagiri 16.9944 73.3 India
|
|||
|
|
Ulanhot 46.0722 122.0933 China
|
|||
|
|
Koriyama 37.4004 140.3597 Japan
|
|||
|
|
Yunzhong 39.8279 113.1 China
|
|||
|
|
Roodepoort -26.1625 27.8725 South Africa
|
|||
|
|
Volzhskiy 48.8056 44.7417 Russia
|
|||
|
|
Pucallpa -8.3833 -74.55 Peru
|
|||
|
|
San Pedro 14.3583 121.0583 Philippines
|
|||
|
|
Pelotas -31.7719 -52.3425 Brazil
|
|||
|
|
Kochi 33.5589 133.5314 Japan
|
|||
|
|
Rampur 28.8 79 India
|
|||
|
|
Kuching 1.5575 110.3439 Malaysia
|
|||
|
|
Cotabato 7.22 124.25 Philippines
|
|||
|
|
Cimanggis -6.3645 106.8591 Indonesia
|
|||
|
|
Gonaives 19.4456 -72.6883 Haiti
|
|||
|
|
Nazret 8.5414 39.2689 Ethiopia
|
|||
|
|
Kikuyu -1.25 36.6667 Kenya
|
|||
|
|
Cordoba 37.8845 -4.7796 Spain
|
|||
|
|
Kluang 2.0336 103.3194 Malaysia
|
|||
|
|
Mekele 13.4969 39.4769 Ethiopia
|
|||
|
|
Binxian 35.0542 108.0814 China
|
|||
|
|
Nantes 47.2181 -1.5528 France
|
|||
|
|
Vaughan 43.8333 -79.5 Canada
|
|||
|
|
Kaiyuan 23.7111 103.2461 China
|
|||
|
|
Vitoria -20.2889 -40.3083 Brazil
|
|||
|
|
Shimoga 13.9333 75.5667 India
|
|||
|
|
Lansing 42.7142 -84.5601 United States
|
|||
|
|
Uige -7.6167 15.05 Angola
|
|||
|
|
Hotan 37.1167 79.9167 China
|
|||
|
|
Camaguey 21.3839 -77.9075 Cuba
|
|||
|
|
Taourirt 34.4169 -2.885 Morocco
|
|||
|
|
San Salvador de Jujuy -24.1833 -65.3 Argentina
|
|||
|
|
Kashipur 29.22 78.95 India
|
|||
|
|
Thu Dau Mot 10.9667 106.65 Vietnam
|
|||
|
|
Al Kut 32.4907 45.8304 Iraq
|
|||
|
|
Lexington 38.0423 -84.4587 United States
|
|||
|
|
Sukabumi -6.9181 106.9315 Indonesia
|
|||
|
|
Munster 51.9625 7.6256 Germany
|
|||
|
|
Menongue -14.6556 17.6842 Angola
|
|||
|
|
Mobile 30.6782 -88.1162 United States
|
|||
|
|
Gode 5.9527 43.5516 Ethiopia
|
|||
|
|
Okene 7.55 6.2333 Nigeria
|
|||
|
|
Junagadh 21.5222 70.4579 India
|
|||
|
|
Smolensk 54.7828 32.0453 Russia
|
|||
|
|
Guasavito 25.5744 -108.4706 Mexico
|
|||
|
|
Asan 36.35 126.9167 Korea
|
|||
|
|
Nukus 42.4667 59.6 Uzbekistan
|
|||
|
|
Datang 22.9406 113.9436 China
|
|||
|
|
Longquan 25.9106 114.786 China
|
|||
|
|
Mitchells Plain -34.0506 18.6181 South Africa
|
|||
|
|
Gwangju 37.3667 127.2833 Korea
|
|||
|
|
Yokkaichi 34.965 136.6244 Japan
|
|||
|
|
Chalco 19.2647 -98.8975 Mexico
|
|||
|
|
Shahriar 35.6722 51.0236 Iran
|
|||
|
|
Shahr-e Qods 35.7097 51.1119 Iran
|
|||
|
|
Kurgan 55.4667 65.35 Russia
|
|||
|
|
Ciudad del Este -25.5167 -54.6167 Paraguay
|
|||
|
|
Ann Arbor 42.2759 -83.731 United States
|
|||
|
|
St. Paul 44.9478 -93.1039 United States
|
|||
|
|
Karlsruhe 49.0092 8.404 Germany
|
|||
|
|
Safi 32.2833 -9.2333 Morocco
|
|||
|
|
Ciudad Benito Juarez 25.65 -100.0833 Mexico
|
|||
|
|
Karawang -6.3125 107.295 Indonesia
|
|||
|
|
Sariwon 38.5064 125.7597 Korea
|
|||
|
|
Suzano -23.5428 -46.3108 Brazil
|
|||
|
|
Newark 40.7245 -74.1725 United States
|
|||
|
|
Nghi Son 19.417 105.75 Vietnam
|
|||
|
|
Parbhani 19.27 76.78 India
|
|||
|
|
Puerto Princesa 9.75 118.75 Philippines
|
|||
|
|
Hisar 29.15 75.7 India
|
|||
|
|
Vladikavkaz 43.04 44.6775 Russia
|
|||
|
|
Windsor 42.2833 -83 Canada
|
|||
|
|
Kasugai 35.2475 136.9722 Japan
|
|||
|
|
Ciudad Santa Catarina 25.6833 -100.45 Mexico
|
|||
|
|
Puerto La Cruz 10.2 -64.6333 Venezuela
|
|||
|
|
Fatehpur 27.98 74.95 India
|
|||
|
|
Ciudad Victoria 23.7389 -99.1431 Mexico
|
|||
|
|
Playa del Carmen 20.6281 -87.0755 Mexico
|
|||
|
|
Yesilyurt 38.2961 38.2489 Turkey
|
|||
|
|
Yonghetun 39.9131 116.6458 China
|
|||
|
|
Irvine 33.6772 -117.7738 United States
|
|||
|
|
Kashan 33.9825 51.4325 Iran
|
|||
|
|
Minna 9.6139 6.5569 Nigeria
|
|||
|
|
Sumbawanga -7.9667 31.6167 Tanzania
|
|||
|
|
Orel 52.9686 36.0694 Russia
|
|||
|
|
Akita 39.72 140.1026 Japan
|
|||
|
|
Kurume 33.3192 130.5083 Japan
|
|||
|
|
Az Zaqaziq 30.5667 31.5 Egypt
|
|||
|
|
Podolsk 55.4311 37.5456 Russia
|
|||
|
|
Palmas -10.1844 -48.3336 Brazil
|
|||
|
|
Montpellier 43.6119 3.8772 France
|
|||
|
|
Vila Nova de Gaia 41.1333 -8.6167 Portugal
|
|||
|
|
Bahia Blanca -38.7167 -62.2667 Argentina
|
|||
|
|
Al Waqf 26.0808 32.4245 Egypt
|
|||
|
|
San Bernardo -33.5833 -70.7 Chile
|
|||
|
|
San Juan del Rio 20.3833 -99.9833 Mexico
|
|||
|
|
Armenia 4.53 -75.68 Colombia
|
|||
|
|
Augsburg 48.3689 10.8978 Germany
|
|||
|
|
Qianzhou 28.276 109.712 China
|
|||
|
|
Popayan 2.4542 -76.6092 Colombia
|
|||
|
|
Al Qunfudhah 19.1264 41.0789 Saudi Arabia
|
|||
|
|
Yakou 33.295 113.5269 China
|
|||
|
|
Newcastle 54.978 -1.6102 United Kingdom
|
|||
|
|
Oulgaret 11.957 79.7737 India
|
|||
|
|
Awasa 7.05 38.4667 Ethiopia
|
|||
|
|
Ingraj Bazar 25.0119 88.1433 India
|
|||
|
|
Oaxaca 17.0606 -96.7253 Mexico
|
|||
|
|
Binjai 3.5986 98.4803 Indonesia
|
|||
|
|
Barr Elias 33.775 35.9 Lebanon
|
|||
|
|
Khairpur Tamewah 29.58 72.2328 Pakistan
|
|||
|
|
Sucre -19.0475 -65.26 Bolivia
|
|||
|
|
Al `Ajami 31.0959 29.7604 Egypt
|
|||
|
|
Al Matariyah 31.1833 32.0333 Egypt
|
|||
|
|
Bada Barabil 22.12 85.4 India
|
|||
|
|
Ash Shamiyah 31.9636 44.5989 Iraq
|
|||
|
|
Oyster Bay 40.7846 -73.514 United States
|
|||
|
|
Ar Raqqah 35.95 39.01 Syria
|
|||
|
|
Chakwal 32.9303 72.8556 Pakistan
|
|||
|
|
Oakashicho 34.65 135 Japan
|
|||
|
|
Afyonkarahisar 38.7578 30.5386 Turkey
|
|||
|
|
Dod Ballapur 13.292 77.543 India
|
|||
|
|
Camacari -12.6978 -38.3239 Brazil
|
|||
|
|
Ciudad General Escobedo 25.7933 -100.1583 Mexico
|
|||
|
|
Catania 37.5 15.0903 Italy
|
|||
|
|
Jember -8.1727 113.6873 Indonesia
|
|||
|
|
Al Mubarraz 25.3833 49.6 Saudi Arabia
|
|||
|
|
Pekalongan -6.8833 109.6667 Indonesia
|
|||
|
|
Los Mochis 25.7835 -108.9937 Mexico
|
|||
|
|
Toshima 35.7333 139.7167 Japan
|
|||
|
|
Pachuca 20.1 -98.75 Mexico
|
|||
|
|
Yangsan 35.3333 129.0333 Korea
|
|||
|
|
Valladolid 41.6528 -4.7236 Spain
|
|||
|
|
Tampico 22.2553 -97.8686 Mexico
|
|||
|
|
Bihar 25.197 85.518 India
|
|||
|
|
Espoo 60.2056 24.6556 Finland
|
|||
|
|
Malabo 3.7456 8.7744 Equatorial Guinea
|
|||
|
|
Pilar -34.45 -58.9167 Argentina
|
|||
|
|
Valparaiso -33.0461 -71.6197 Chile
|
|||
|
|
Cirebon -6.7071 108.5574 Indonesia
|
|||
|
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Tagum 7.4478 125.8078 Philippines
|
|||
|
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Santa Rosa 38.4458 -122.7067 United States
|
|||
|
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Darbhanga 26.17 85.9 India
|
|||
|
|
Comilla 23.45 91.2 Bangladesh
|
|||
|
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Battalgazi 38.4228 38.3656 Turkey
|
|||
|
|
Sorong -0.8667 131.25 Indonesia
|
|||
|
|
Shubrakhit 31.0275 30.7128 Egypt
|
|||
|
|
Floridablanca 7.2167 -73.0667 Colombia
|
|||
|
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Silang 14.2306 120.975 Philippines
|
|||
|
|
Eloy Alfaro -2.1733 -79.8311 Ecuador
|
|||
|
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Pondokaren -6.2811 106.7019 Indonesia
|
|||
|
|
Sikandarabad 28.4512 77.6955 India
|
|||
|
|
Kafr Saqr 30.7964 31.6261 Egypt
|
|||
|
|
Vila Teixeira da Silva -12.1958 15.8556 Angola
|
|||
|
|
Panipat 29.3875 76.97 India
|
|||
|
|
Rangpur 25.75 89.2444 Bangladesh
|
|||
|
|
Bialystok 53.1353 23.1456 Poland
|
|||
|
|
Canton 40.8078 -81.3676 United States
|
|||
|
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Asheville 35.5707 -82.5537 United States
|
|||
|
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Flint 43.0236 -83.6921 United States
|
|||
|
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Vigo 42.2314 -8.7124 Spain
|
|||
|
|
Coacalco 19.6333 -99.0931 Mexico
|
|||
|
|
Aizawl 23.7272 92.7178 India
|
|||
|
|
Bali 22.65 88.34 India
|
|||
|
|
Bradford 53.8 -1.75 United Kingdom
|
|||
|
|
Mabalacat 15.22 120.58 Philippines
|
|||
|
|
Dexing 28.9306 117.5947 China
|
|||
|
|
Winter Haven 28.0118 -81.7014 United States
|
|||
|
|
Graz 47.0708 15.4386 Austria
|
|||
|
|
Palni 10.45 77.5161 India
|
|||
|
|
Resistencia -27.4514 -58.9867 Argentina
|
|||
|
|
Groznyy 43.3125 45.6986 Russia
|
|||
|
|
Chimbote -9.0745 -78.5936 Peru
|
|||
|
|
Strasbourg 48.5833 7.7458 France
|
|||
|
|
Bergen 60.3894 5.33 Norway
|
|||
|
|
Gatineau 45.4833 -75.65 Canada
|
|||
|
|
Surajgarha 25.25 86.23 India
|
|||
|
|
Tegal -6.8675 109.1375 Indonesia
|
|||
|
|
Anchorage 61.1508 -149.1091 United States
|
|||
|
|
Batna 35.55 6.1667 Algeria
|
|||
|
|
Aarhus 56.1572 10.2107 Denmark
|
|||
|
|
Morioka 39.7021 141.1545 Japan
|
|||
|
|
Lincoln 40.8099 -96.6784 United States
|
|||
|
|
Hulin 45.7667 132.9333 China
|
|||
|
|
Gombe 10.2904 11.17 Nigeria
|
|||
|
|
Bijiao 22.9253 113.2067 China
|
|||
|
|
Cherkasy 49.4444 32.0597 Ukraine
|
|||
|
|
Bayat 40.5455 34.957 Turkey
|
|||
|
|
Handwara 34.3997 74.2817 India
|
|||
|
|
Kunduz 36.7286 68.8681 Afghanistan
|
|||
|
|
Drug 21.19 81.28 India
|
|||
|
|
Wilmington 34.2099 -77.8866 United States
|
|||
|
|
Monchengladbach 51.2 6.4333 Germany
|
|||
|
|
Gijon 43.5333 -5.7 Spain
|
|||
|
|
Brahmanbaria 23.9656 91.108 Bangladesh
|
|||
|
|
Santa Clarita 34.4175 -118.4964 United States
|
|||
|
|
Thai Binh 20.4461 106.3422 Vietnam
|
|||
|
|
Ichihara 35.4981 140.1154 Japan
|
|||
|
|
Tarija -21.5333 -64.7333 Bolivia
|
|||
|
|
Shibin al Kawm 30.5586 31.01 Egypt
|
|||
|
|
Plymouth 50.3714 -4.1422 United Kingdom
|
|||
|
|
Aswan 24.0889 32.8997 Egypt
|
|||
|
|
Bimo 4.3137 18.3065 Central African Republic
|
|||
|
|
Murmansk 68.9706 33.075 Russia
|
|||
|
|
Gilbert 33.31 -111.7463 United States
|
|||
|
|
Maradi 13.4833 7.1 Niger
|
|||
|
|
Xiangkhoang 19.4167 103.5 Laos
|
|||
|
|
Anantapur 14.68 77.599 India
|
|||
|
|
Adiyaman 37.7639 38.2778 Turkey
|
|||
|
|
Kutahya 39.4167 29.9833 Turkey
|
|||
|
|
Yoshkar-Ola 56.65 47.8833 Russia
|
|||
|
|
Maraba -5.35 -49.1167 Brazil
|
|||
|
|
Salem 44.9233 -123.0244 United States
|
|||
|
|
Saskatoon 52.1333 -106.6833 Canada
|
|||
|
|
Sumare -22.8219 -47.2669 Brazil
|
|||
|
|
Killeen 31.0753 -97.7297 United States
|
|||
|
|
Nagaoka 37.4462 138.8512 Japan
|
|||
|
|
Djelfa 34.6667 3.25 Algeria
|
|||
|
|
Sumy 50.9119 34.8028 Ukraine
|
|||
|
|
Khwazakhela 34.9333 72.4667 Pakistan
|
|||
|
|
Chernivtsi 48.3 25.9333 Ukraine
|
|||
|
|
Suncheon 34.9506 127.4875 Korea
|
|||
|
|
Kibaha -6.7667 38.9167 Tanzania
|
|||
|
|
Nalchik 43.4833 43.6167 Russia
|
|||
|
|
Sfax 34.74 10.76 Tunisia
|
|||
|
|
Gent 51.0536 3.7253 Belgium
|
|||
|
|
Gravatai -29.9333 -50.9833 Brazil
|
|||
|
|
Antsirabe -19.8667 47.0333 Madagascar
|
|||
|
|
Feni 23.0183 91.41 Bangladesh
|
|||
|
|
Engels 51.5017 46.1222 Russia
|
|||
|
|
Imphal 24.8074 93.9384 India
|
|||
|
|
Taunggyi 20.7836 97.0354 Burma
|
|||
|
|
Nogales 31.3 -110.9333 Mexico
|
|||
|
|
Ed Daein 11.4608 26.1283 Sudan
|
|||
|
|
Dezful 32.3786 48.4144 Iran
|
|||
|
|
Mossoro -5.1878 -37.3439 Brazil
|
|||
|
|
Round Lake Beach 42.3791 -88.0811 United States
|
|||
|
|
Potosi -19.5892 -65.7533 Bolivia
|
|||
|
|
Osmaniye 37.075 36.25 Turkey
|
|||
|
|
Columbus 32.51 -84.8771 United States
|
|||
|
|
Itajai -26.9 -48.6667 Brazil
|
|||
|
|
North Las Vegas 36.2883 -115.0888 United States
|
|||
|
|
Taluqan 36.7167 69.5167 Afghanistan
|
|||
|
|
Constanta 44.1667 28.6333 Romania
|
|||
|
|
Luque -25.27 -57.4872 Paraguay
|
|||
|
|
Yao 34.6269 135.601 Japan
|
|||
|
|
Jalalabad 34.4342 70.4478 Afghanistan
|
|||
|
|
Nawabshah 26.2442 68.41 Pakistan
|
|||
|
|
Talisay 10.25 123.83 Philippines
|
|||
|
|
Gelsenkirchen 51.5167 7.1 Germany
|
|||
|
|
Jagdalpur 19.18 81.92 India
|
|||
|
|
Tchibota -4.1794 11.3731 Congo (Brazzaville)
|
|||
|
|
Kafr ad Dawwar 31.1311 30.13 Egypt
|
|||
|
|
Quilmes -34.7167 -58.2667 Argentina
|
|||
|
|
Wollongong -34.4331 150.8831 Australia
|
|||
|
|
Zhytomyr 50.25 28.6667 Ukraine
|
|||
|
|
Volta Redonda -22.5228 -44.1039 Brazil
|
|||
|
|
Fukui 36.0641 136.2196 Japan
|
|||
|
|
Arrah 25.5514 84.6603 India
|
|||
|
|
Malolos 14.8433 120.8114 Philippines
|
|||
|
|
Heroica Nogales 31.3186 -110.9458 Mexico
|
|||
|
|
Bariadi -2.7919 33.9894 Tanzania
|
|||
|
|
Hong 10.2317 12.9303 Nigeria
|
|||
|
|
Oume 6.3833 -5.4167 Côte d’Ivoire
|
|||
|
|
Fuchu 35.6689 139.4776 Japan
|
|||
|
|
Minato 35.6581 139.7514 Japan
|
|||
|
|
Boksburg -26.2125 28.2625 South Africa
|
|||
|
|
Olongapo 14.83 120.28 Philippines
|
|||
|
|
Quang Ngai 15.1167 108.8 Vietnam
|
|||
|
|
Al Hamzah 31.7339 45.0086 Iraq
|
|||
|
|
Kennewick 46.1978 -119.1732 United States
|
|||
|
|
Qo`qon 40.5286 70.9425 Uzbekistan
|
|||
|
|
Kotri 25.374 68.3013 Pakistan
|
|||
|
|
St. Petersburg 27.7931 -82.6652 United States
|
|||
|
|
Misratah 32.3775 15.092 Libya
|
|||
|
|
Aydin 37.8481 27.8453 Turkey
|
|||
|
|
Singa 13.15 33.9333 Sudan
|
|||
|
|
Manta -0.95 -80.7162 Ecuador
|
|||
|
|
Tallahassee 30.4551 -84.2527 United States
|
|||
|
|
Kakogawacho-honmachi 34.75 134.8333 Japan
|
|||
|
|
Isparta 37.7647 30.5567 Turkey
|
|||
|
|
Siverek 37.75 39.3167 Turkey
|
|||
|
|
Ndulo -11.4833 15.8333 Angola
|
|||
|
|
Antalya 36.8874 30.7075 Turkey
|
|||
|
|
Huayin 34.5833 110.1 China
|
|||
|
|
Hiratsuka 35.3167 139.35 Japan
|
|||
|
|
Raniyah 36.255 44.8836 Iraq
|
|||
|
|
Annaba 36.9 7.7667 Algeria
|
|||
|
|
Governador Valadares -18.85 -41.9333 Brazil
|
|||
|
|
Khimki 55.8892 37.445 Russia
|
|||
|
|
Ondo 7.0833 4.8333 Nigeria
|
|||
|
|
Etawah 26.77 79.03 India
|
|||
|
|
Siddhirganj 23.6833 90.5167 Bangladesh
|
|||
|
|
Horlivka 48.3 38.05 Ukraine
|
|||
|
|
Indaiatuba -23.0903 -47.2181 Brazil
|
|||
|
|
Bloemfontein -29.1167 26.2167 South Africa
|
|||
|
|
Ap Da Loi 11.9333 108.4667 Vietnam
|
|||
|
|
Turkmenabat 39.0833 63.5667 Turkmenistan
|
|||
|
|
Malkajgiri 17.4519 78.5362 India
|
|||
|
|
Vitoria-Gasteiz 42.85 -2.6833 Spain
|
|||
|
|
Germiston -26.2178 28.1672 South Africa
|
|||
|
|
Nonthaburi 13.8667 100.5167 Thailand
|
|||
|
|
Verona 45.4386 10.9928 Italy
|
|||
|
|
Tuzla 40.8161 29.3006 Turkey
|
|||
|
|
Westminster 51.4947 -0.1353 United Kingdom
|
|||
|
|
Laredo 27.5625 -99.4874 United States
|
|||
|
|
Kuala Terengganu 5.3292 103.1361 Malaysia
|
|||
|
|
San Pedro Carcha 15.4667 -90.3 Guatemala
|
|||
|
|
Mocamedes -15.1953 12.1508 Angola
|
|||
|
|
Irving 32.8583 -96.9702 United States
|
|||
|
|
Turmero 10.2283 -67.4725 Venezuela
|
|||
|
|
Tokushima 34.0667 134.55 Japan
|
|||
|
|
Sao Carlos -22 -47.8908 Brazil
|
|||
|
|
Longueuil 45.5333 -73.5167 Canada
|
|||
|
|
Marilao 14.7581 120.9481 Philippines
|
|||
|
|
Tuni 17.35 82.55 India
|
|||
|
|
Ash Shatrah 31.4097 46.1717 Iraq
|
|||
|
|
Sab` al Bur 33.4644 44.1536 Iraq
|
|||
|
|
Fort-de-France 14.6 -61.0667 Martinique
|
|||
|
|
Mawlamyine 16.4847 97.6258 Burma
|
|||
|
|
Peoria 40.752 -89.6154 United States
|
|||
|
|
Godome 6.3667 2.35 Benin
|
|||
|
|
Rapar 23.57 70.63 India
|
|||
|
|
Samastipur 25.8629 85.7811 India
|
|||
|
|
Aksaray 38.3742 34.0289 Turkey
|
|||
|
|
Shinozaki 33.9578 130.9414 Japan
|
|||
|
|
Parnamirim -5.9167 -35.25 Brazil
|
|||
|
|
Kiziltepe 37.1939 40.5861 Turkey
|
|||
|
|
Jhenida 23.5417 89.1833 Bangladesh
|
|||
|
|
Turku 60.45 22.2667 Finland
|
|||
|
|
Bharatpur 27.22 77.48 India
|
|||
|
|
Aachen 50.7756 6.0836 Germany
|
|||
|
|
Begusarai 25.42 86.13 India
|
|||
|
|
Kediri -7.8111 112.0047 Indonesia
|
|||
|
|
Kanggye 40.9667 126.6 Korea
|
|||
|
|
Chiayi 23.48 120.4497 Taiwan
|
|||
|
|
Cekme 41.0369 29.1786 Turkey
|
|||
|
|
Hakodate 41.7686 140.7289 Japan
|
|||
|
|
Tacloban 11.24 125 Philippines
|
|||
|
|
Junagarh 19.8599 82.9338 India
|
|||
|
|
Braunschweig 52.2667 10.5167 Germany
|
|||
|
|
Iskenderun 36.5817 36.165 Turkey
|
|||
|
|
Pecs 46.0711 18.2331 Hungary
|
|||
|
|
Soka 35.8254 139.8053 Japan
|
|||
|
|
Nedumana 8.9139 76.6889 India
|
|||
|
|
Higuey 18.6167 -68.7 Dominican Republic
|
|||
|
|
Los Teques 10.3333 -67.0417 Venezuela
|
|||
|
|
Montgomery 32.3482 -86.2668 United States
|
|||
|
|
Jinshi 29.5 111.908 China
|
|||
|
|
Wolverhampton 52.5833 -2.1333 United Kingdom
|
|||
|
|
Pointe-a-Pitre 16.2411 -61.5331 Guadeloupe
|
|||
|
|
Al Fallujah 33.35 43.7833 Iraq
|
|||
|
|
Timisoara 45.7597 21.23 Romania
|
|||
|
|
Bata 1.865 9.77 Equatorial Guinea
|
|||
|
|
Rach Gia 10.0167 105.0833 Vietnam
|
|||
|
|
Companiganj 22.875 91.2833 Bangladesh
|
|||
|
|
Venice 45.4375 12.3358 Italy
|
|||
|
|
Taganrog 47.2167 38.9167 Russia
|
|||
|
|
Babol 36.5475 52.6783 Iran
|
|||
|
|
Sao Jose -27.6 -48.6167 Brazil
|
|||
|
|
La Paz 24.1422 -110.3108 Mexico
|
|||
|
|
Campeche 19.85 -90.5306 Mexico
|
|||
|
|
Manzhouli 49.598 117.379 China
|
|||
|
|
Tiruvottiyur 13.16 80.3 India
|
|||
|
|
Palangkaraya -2.21 113.92 Indonesia
|
|||
|
|
Chesapeake 36.6778 -76.3023 United States
|
|||
|
|
Burnaby 49.2667 -122.9667 Canada
|
|||
|
|
Ramnagar 27.17 84.32 India
|
|||
|
|
Limeira -22.565 -47.4019 Brazil
|
|||
|
|
Carmen 18.6431 -91.8306 Mexico
|
|||
|
|
Gandhidham 23.08 70.13 India
|
|||
|
|
Banikoara 11.3 2.4333 Benin
|
|||
|
|
Chemnitz 50.8333 12.9167 Germany
|
|||
|
|
Salumbar 24.08 74.02 India
|
|||
|
|
Kyongju 35.85 129.2167 Korea
|
|||
|
|
Merida 8.48 -71.19 Venezuela
|
|||
|
|
Glendale 33.5791 -112.2311 United States
|
|||
|
|
Sibu 2.2878 111.8308 Malaysia
|
|||
|
|
Colombo -25.2919 -49.2239 Brazil
|
|||
|
|
Machilipatnam 16.17 81.13 India
|
|||
|
|
Beni 0.5 29.4667 Congo (Kinshasa)
|
|||
|
|
Nazipur 25.0415 88.7605 Bangladesh
|
|||
|
|
Purwokerto -7.4278 109.2417 Indonesia
|
|||
|
|
Bratsk 56.1167 101.6 Russia
|
|||
|
|
Biyala 31.1747 31.2204 Egypt
|
|||
|
|
Madan 30.3469 48.2825 Iran
|
|||
|
|
Rancagua -34.1667 -70.75 Chile
|
|||
|
|
Phu Yen 21.4156 105.8739 Vietnam
|
|||
|
|
Neuquen -38.9525 -68.0642 Argentina
|
|||
|
|
Divinopolis -20.1389 -44.8839 Brazil
|
|||
|
|
Qarchak 35.4267 51.5842 Iran
|
|||
|
|
Ormoc 11.0106 124.6075 Philippines
|
|||
|
|
Fresnillo 23.175 -102.8675 Mexico
|
|||
|
|
Dzerzhinsk 56.2333 43.45 Russia
|
|||
|
|
Granada 37.1781 -3.6008 Spain
|
|||
|
|
Son Tay 21.1333 105.5 Vietnam
|
|||
|
|
Singkawang 0.9 108.9833 Indonesia
|
|||
|
|
Zegoua 10.4875 -5.6536 Mali
|
|||
|
|
Kulai 1.6667 103.6 Malaysia
|
|||
|
|
Barishal 22.7 90.3667 Bangladesh
|
|||
|
|
Pali 25.77 73.33 India
|
|||
|
|
Songadh 21.167 73.564 India
|
|||
|
|
Noginsk 64.4833 91.2333 Russia
|
|||
|
|
Gadda Madiral 18.7519 79.5133 India
|
|||
|
|
Orsk 51.2 58.5667 Russia
|
|||
|
|
Ordu 40.9833 37.8833 Turkey
|
|||
|
|
Kosice 48.7167 21.25 Slovakia
|
|||
|
|
Kasukabe 35.9753 139.7523 Japan
|
|||
|
|
Mirialguda 16.8667 79.5833 India
|
|||
|
|
Aguadilla 18.4382 -67.1537 Puerto Rico
|
|||
|
|
Envigado 6.1667 -75.5667 Colombia
|
|||
|
|
Haridwar 29.945 78.163 India
|
|||
|
|
Rock Hill 34.9415 -81.0241 United States
|
|||
|
|
Fremont 37.5265 -121.9843 United States
|
|||
|
|
Vizianagaram 18.1159 83.406 India
|
|||
|
|
Coban 15.4833 -90.3667 Guatemala
|
|||
|
|
Khenifra 32.9394 -5.6675 Morocco
|
|||
|
|
Guantanamo 20.1367 -75.2139 Cuba
|
|||
|
|
Krefeld 51.3333 6.5667 Germany
|
|||
|
|
Sabya 17.1489 42.6258 Saudi Arabia
|
|||
|
|
Fargo 46.8651 -96.8292 United States
|
|||
|
|
Raisinghnagar 29.5342 73.4477 India
|
|||
|
|
Usak 38.6778 29.4042 Turkey
|
|||
|
|
Pathardi 19.17 75.18 India
|
|||
|
|
Mage -22.6528 -43.0408 Brazil
|
|||
|
|
Gulfport 30.4274 -89.0704 United States
|
|||
|
|
Neya 34.7667 135.6333 Japan
|
|||
|
|
Mel Palaiyam 8.7 77.7069 India
|
|||
|
|
Novo Hamburgo -29.6778 -51.1308 Brazil
|
|||
|
|
Ipatinga -19.5 -42.5333 Brazil
|
|||
|
|
Saqultah 26.65 31.6667 Egypt
|
|||
|
|
Choloma 15.6333 -88 Honduras
|
|||
|
|
Kropyvnytskyi 48.5 32.2667 Ukraine
|
|||
|
|
Khatima 28.92 79.97 India
|
|||
|
|
Dasoguz 41.8333 59.9667 Turkmenistan
|
|||
|
|
Khanewal 30.3 71.9333 Pakistan
|
|||
|
|
Petlad 22.47 72.8 India
|
|||
|
|
Kamianske 48.5167 34.6167 Ukraine
|
|||
|
|
Bremerton 47.5436 -122.7121 United States
|
|||
|
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Ageoshimo 35.9774 139.5932 Japan
|
|||
|
|
Changhua 24.0667 120.5333 Taiwan
|
|||
|
|
Regina 50.4547 -104.6067 Canada
|
|||
|
|
Badalona 41.4489 2.2461 Spain
|
|||
|
|
Dianbu 31.8883 117.4608 China
|
|||
|
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Kolpino 59.7333 30.6 Russia
|
|||
|
|
Rio Verde -17.745 -50.9167 Brazil
|
|||
|
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Meycauayan 14.73 120.95 Philippines
|
|||
|
|
Presidente Prudente -22.1256 -51.3889 Brazil
|
|||
|
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Green Bay 44.5148 -87.9895 United States
|
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|
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Varamin 35.3508 51.6358 Iran
|
|||
|
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Padangsidempuan 1.3786 99.2722 Indonesia
|
|||
|
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Uacu Cungo -11.3583 15.1194 Angola
|
|||
|
|
Enterprise 36.0091 -115.2278 United States
|
|||
|
|
Hunchun 42.863 130.366 China
|
|||
|
|
Tarrasa 41.57 2.013 Spain
|
|||
|
|
Ternopil 49.5667 25.6 Ukraine
|
|||
|
|
Kimberley -28.7383 24.7639 South Africa
|
|||
|
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Nadiad 22.69 72.86 India
|
|||
|
|
Toamasina -18.155 49.41 Madagascar
|
|||
|
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Rennes 48.1147 -1.6794 France
|
|||
|
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Mutare -18.9667 32.6333 Zimbabwe
|
|||
|
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Cikupa -6.4947 106.6511 Indonesia
|
|||
|
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Ratodero 27.8 68.2833 Pakistan
|
|||
|
|
Chuadanga 23.644 88.8556 Bangladesh
|
|||
|
|
Carlos Manuel de Cespedes 21.5767 -78.2775 Cuba
|
|||
|
|
Blagoveshchensk 50.25 127.5333 Russia
|
|||
|
|
Bandar-e Bushehr 28.9264 50.8514 Iran
|
|||
|
|
Itapevi -23.5489 -46.9342 Brazil
|
|||
|
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Staryy Oskol 51.3 37.8333 Russia
|
|||
|
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Probolinggo -7.75 113.2167 Indonesia
|
|||
|
|
Hialeah 25.8696 -80.3045 United States
|
|||
|
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Tanjore 10.787 79.1378 India
|
|||
|
|
Beersheba 31.2589 34.7997 Israel
|
|||
|
|
Bila Tserkva 49.7989 30.1153 Ukraine
|
|||
|
|
Santo Agostinho -8.2897 -35.03 Brazil
|
|||
|
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Oulu 65.0142 25.4719 Finland
|
|||
|
|
Luziania -16.2528 -47.95 Brazil
|
|||
|
|
Ciputat -6.3111 106.7619 Indonesia
|
|||
|
|
Guarenas 10.4667 -66.6167 Venezuela
|
|||
|
|
Mohammedia 33.6833 -7.3833 Morocco
|
|||
|
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Babruysk 53.15 29.2333 Belarus
|
|||
|
|
Taisheng 23.2939 113.3531 China
|
|||
|
|
Sunyani 7.3333 -2.3333 Ghana
|
|||
|
|
Lubuklinggau -3.2967 102.8617 Indonesia
|
|||
|
|
Ashaiman 5.7 -0.0333 Ghana
|
|||
|
|
Ambala 30.38 76.78 India
|
|||
|
|
Zamora 19.9833 -102.2833 Mexico
|
|||
|
|
Chungju 36.9667 127.95 Korea
|
|||
|
|
Kasangati 0.4378 32.6025 Uganda
|
|||
|
|
Kharagpur 22.3302 87.3237 India
|
|||
|
|
Farshut 26.055 32.1639 Egypt
|
|||
|
|
Monywa 22.1083 95.1417 Burma
|
|||
|
|
Nishitokyo 35.7256 139.5383 Japan
|
|||
|
|
Robertsonpet 12.9563 78.2754 India
|
|||
|
|
Lyubertsy 55.6783 37.8944 Russia
|
|||
|
|
Dindigul 10.35 77.95 India
|
|||
|
|
Toledo 10.38 123.65 Philippines
|
|||
|
|
Milton Keynes 52.04 -0.76 United Kingdom
|
|||
|
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Marawi City 8.0031 124.285 Philippines
|
|||
|
|
Morogoro -6.8242 37.6633 Tanzania
|
|||
|
|
Raniwara Kalan 24.75 72.2167 India
|
|||
|
|
Solihull 52.413 -1.778 United Kingdom
|
|||
|
|
Parakou 9.35 2.6167 Benin
|
|||
|
|
Damietta 31.4167 31.8214 Egypt
|
|||
|
|
Shimla 31.1033 77.1722 India
|
|||
|
|
Padova 45.4167 11.8667 Italy
|
|||
|
|
Banjar -7.3695 108.5414 Indonesia
|
|||
|
|
Cidade de Nacala -14.5428 40.6728 Mozambique
|
|||
|
|
Passo Fundo -28.25 -52.4 Brazil
|
|||
|
|
Dinajpur 25.6167 88.65 Bangladesh
|
|||
|
|
Hospet 15.2689 76.3909 India
|
|||
|
|
Islington 51.544 -0.1027 United Kingdom
|
|||
|
|
Talca -35.4269 -71.6656 Chile
|
|||
|
|
Hickory 35.741 -81.3223 United States
|
|||
|
|
Amarillo 35.1984 -101.8316 United States
|
|||
|
|
Ifakara -8.1 36.6833 Tanzania
|
|||
|
|
Pamplona 42.8167 -1.65 Spain
|
|||
|
|
Northcote -36.8019 174.7494 New Zealand
|
|||
|
|
Maldah 25.0044 88.1458 India
|
|||
|
|
San Carlos City 15.9281 120.3489 Philippines
|
|||
|
|
Jiutai 44.1447 125.8443 China
|
|||
|
|
Phan Thiet 10.9333 108.1 Vietnam
|
|||
|
|
Puqi 29.7204 113.88 China
|
|||
|
|
Khan Yunis 31.3444 34.3031 Gaza Strip
|
|||
|
|
Ongole 15.506 80.049 India
|
|||
|
|
Cordoba 18.8942 -96.9347 Mexico
|
|||
|
|
Brahmanpara 23.6167 91.1083 Bangladesh
|
|||
|
|
Biskra 34.85 5.7333 Algeria
|
|||
|
|
Bingerville 5.35 -3.9 Côte d’Ivoire
|
|||
|
|
Betigeri 15.443 75.6442 India
|
|||
|
|
Sioux Falls 43.5396 -96.7311 United States
|
|||
|
|
Mpanda -6.35 31.0667 Tanzania
|
|||
|
|
Ternate 0.78 127.3819 Indonesia
|
|||
|
|
Kassel 51.3158 9.4979 Germany
|
|||
|
|
Sakaka 29.9697 40.2 Saudi Arabia
|
|||
|
|
Sejong 36.487 127.2822 Korea
|
|||
|
|
Quetzaltenango 14.8333 -91.5167 Guatemala
|
|||
|
|
Coquimbo -29.9531 -71.3433 Chile
|
|||
|
|
Tekirdag 40.9778 27.5153 Turkey
|
|||
|
|
Luzhang 25.8226 98.8577 China
|
|||
|
|
Kodumur 15.6833 77.7833 India
|
|||
|
|
Kukawa 12.9167 13.5667 Nigeria
|
|||
|
|
Geneva 46.2017 6.1469 Switzerland
|
|||
|
|
Huntington 40.8521 -73.3823 United States
|
|||
|
|
Ellore 16.7117 81.1031 India
|
|||
|
|
Evansville 37.9881 -87.5341 United States
|
|||
|
|
Kinh Mon 21.033 106.5 Vietnam
|
|||
|
|
Birjand 32.8744 59.2161 Iran
|
|||
|
|
Santa Ana 14.58 121.012 Philippines
|
|||
|
|
Barrancabermeja 7.0667 -73.85 Colombia
|
|||
|
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La Guaira 10.6 -66.9331 Venezuela
|
|||
|
|
Loja -3.9833 -79.2 Ecuador
|
|||
|
|
Mandi Burewala 30.1592 72.6817 Pakistan
|
|||
|
|
Lauro de Freitas -12.8939 -38.3269 Brazil
|
|||
|
|
Mazabuka -15.8467 27.7475 Zambia
|
|||
|
|
Deoghar 24.48 86.7 India
|
|||
|
|
Tanjungpinang 0.9188 104.4554 Indonesia
|
|||
|
|
Phu Tu Son 21.1189 105.9611 Vietnam
|
|||
|
|
Huntington 38.4109 -82.4345 United States
|
|||
|
|
Chhindwara 22.057 78.9396 India
|
|||
|
|
Iringa -7.77 35.69 Tanzania
|
|||
|
|
Lingampalli 17.4865 78.317 India
|
|||
|
|
Waterbury 41.5582 -73.0361 United States
|
|||
|
|
Mokameh 25.3898 85.9191 India
|
|||
|
|
Luxor 25.6967 32.6444 Egypt
|
|||
|
|
Arica -18.4778 -70.3181 Chile
|
|||
|
|
Las Tunas 20.9597 -76.9544 Cuba
|
|||
|
|
Qal`at Bishah 20 42.6 Saudi Arabia
|
|||
|
|
Frisco 33.156 -96.8216 United States
|
|||
|
|
Ha Tinh 18.3333 105.9 Vietnam
|
|||
|
|
Richmond Hill 43.8667 -79.4333 Canada
|
|||
|
|
Timayy al Imdid 30.9438 31.5293 Egypt
|
|||
|
|
Al Khums 32.6497 14.2644 Libya
|
|||
|
|
Charleroi 50.4 4.4333 Belgium
|
|||
|
|
Lorain 41.4409 -82.184 United States
|
|||
|
|
Matsue 35.4681 133.0486 Japan
|
|||
|
|
Tarakan 3.3 117.6333 Indonesia
|
|||
|
|
Loures 38.8333 -9.1667 Portugal
|
|||
|
|
Pingzhen 24.9439 121.2161 Taiwan
|
|||
|
|
Radom 51.4036 21.1567 Poland
|
|||
|
|
Petropavl 54.8833 69.1667 Kazakhstan
|
|||
|
|
Rio Claro -22.4108 -47.5608 Brazil
|
|||
|
|
Maroua 10.5971 14.3157 Cameroon
|
|||
|
|
Cajamarca -7.1667 -78.5167 Peru
|
|||
|
|
Qina 26.1667 32.7167 Egypt
|
|||
|
|
Mbarara -0.6133 30.6583 Uganda
|
|||
|
|
Morbi 22.82 70.83 India
|
|||
|
|
Yuzhno-Sakhalinsk 46.9667 142.7333 Russia
|
|||
|
|
Cuautla 18.8167 -98.95 Mexico
|
|||
|
|
Anseong 37.0078 127.2797 Korea
|
|||
|
|
Glendale 34.1819 -118.2468 United States
|
|||
|
|
Guanajuato 21.0178 -101.2567 Mexico
|
|||
|
|
Tebessa 35.4 8.1167 Algeria
|
|||
|
|
Kamirenjaku 35.6836 139.5595 Japan
|
|||
|
|
Holon 32.0167 34.7667 Israel
|
|||
|
|
San Fernando 7.894 -67.473 Venezuela
|
|||
|
|
Pingtung 22.6761 120.4942 Taiwan
|
|||
|
|
Peterborough 52.5661 -0.2364 United Kingdom
|
|||
|
|
Tanauan 14.08 121.15 Philippines
|
|||
|
|
Nampa 43.5844 -116.5638 United States
|
|||
|
|
Suhaj 26.55 31.7 Egypt
|
|||
|
|
Pandhurna 21.6 78.52 India
|
|||
|
|
Bene Beraq 32.0833 34.8333 Israel
|
|||
|
|
Sosnowiec 50.2833 19.1333 Poland
|
|||
|
|
Bukan 36.515 46.2075 Iran
|
|||
|
|
Mus 38.7333 41.4911 Turkey
|
|||
|
|
Fatehpur 25.93 80.8 India
|
|||
|
|
Kumagaya 36.1474 139.3886 Japan
|
|||
|
|
La Plata -34.9211 -57.9544 Argentina
|
|||
|
|
Bani Suwayf 29.0667 31.0833 Egypt
|
|||
|
|
Lae -6.7303 147.0008 Papua New Guinea
|
|||
|
|
Quelimane -17.8764 36.8872 Mozambique
|
|||
|
|
Hyesan 41.4 128.1833 Korea
|
|||
|
|
Beni Mellal 32.3394 -6.3608 Morocco
|
|||
|
|
Jalapa 14.6333 -89.9833 Guatemala
|
|||
|
|
Guanare 9.0436 -69.7489 Venezuela
|
|||
|
|
Kaesong 37.9667 126.55 Korea
|
|||
|
|
Nossa Senhora do Socorro -10.855 -37.0592 Brazil
|
|||
|
|
Castanhal -1.2969 -47.9219 Brazil
|
|||
|
|
Croydon 51.3727 -0.1099 United Kingdom
|
|||
|
|
Erie 42.1167 -80.0733 United States
|
|||
|
|
Umreth 22.6986 73.1156 India
|
|||
|
|
Dunhuang 40.1411 94.6639 China
|
|||
|
|
Semnan 35.5811 53.3833 Iran
|
|||
|
|
Narsingdi 23.9231 90.7122 Bangladesh
|
|||
|
|
Newport News 37.1051 -76.5185 United States
|
|||
|
|
Temirtau 50.05 72.95 Kazakhstan
|
|||
|
|
Banja Luka 44.7725 17.1925 Bosnia and Herzegovina
|
|||
|
|
Ittikara 8.8633 76.6972 India
|
|||
|
|
Yei 4.0904 30.68 South Sudan
|
|||
|
|
Mahesana 23.6 72.4 India
|
|||
|
|
Frederick 39.4337 -77.4141 United States
|
|||
|
|
Kuchlagh 31.0833 67.1056 Pakistan
|
|||
|
|
Murfreesboro 35.849 -86.4121 United States
|
|||
|
|
Ferraz de Vasconcelos -23.5411 -46.3689 Brazil
|
|||
|
|
Bolu 40.7347 31.6075 Turkey
|
|||
|
|
`Unayzah 26.0906 43.9875 Saudi Arabia
|
|||
|
|
Pak Kret 13.9125 100.4978 Thailand
|
|||
|
|
Seixal 38.65 -9.1 Portugal
|
|||
|
|
Al Qamishli 37.05 41.22 Syria
|
|||
|
|
Padalarang -6.8435 107.4779 Indonesia
|
|||
|
|
Modena 44.6469 10.9256 Italy
|
|||
|
|
Breda 51.5889 4.7758 Netherlands
|
|||
|
|
Toyokawa 34.8268 137.3759 Japan
|
|||
|
|
Vinh Chau 9.333 106 Vietnam
|
|||
|
|
Siguiri 11.4167 -9.1667 Guinea
|
|||
|
|
Cuango -9.1444 18.0464 Angola
|
|||
|
|
Raiganj 25.62 88.12 India
|
|||
|
|
San Cristobal 16.7367 -92.6383 Mexico
|
|||
|
|
Fernando de la Mora -25.32 -57.54 Paraguay
|
|||
|
|
Trang Bang 11.033 106.367 Vietnam
|
|||
|
|
Aqtau 43.6525 51.1575 Kazakhstan
|
|||
|
|
Tanjungbalai 2.97 99.8 Indonesia
|
|||
|
|
Budhanilkantha 27.7667 85.3667 Nepal
|
|||
|
|
Uji 34.8844 135.7997 Japan
|
|||
|
|
Mongu -15.2775 23.1319 Zambia
|
|||
|
|
Norilsk 69.3333 88.2167 Russia
|
|||
|
|
Divo 5.8333 -5.3667 Côte d’Ivoire
|
|||
|
|
Calabar 4.9767 8.3383 Nigeria
|
|||
|
|
Reims 49.2628 4.0347 France
|
|||
|
|
Dosquebradas 4.8333 -75.6833 Colombia
|
|||
|
|
Roxas City 11.5894 122.7511 Philippines
|
|||
|
|
Masan 35.1833 128.55 Korea
|
|||
|
|
Purwakarta -6.5533 107.4472 Indonesia
|
|||
|
|
Satara 17.688 74.006 India
|
|||
|
|
El Khroub 36.2667 6.7 Algeria
|
|||
|
|
Tiaret 35.3667 1.3167 Algeria
|
|||
|
|
Cuautitlan 19.6833 -99.1833 Mexico
|
|||
|
|
Spring Hill 28.4798 -82.53 United States
|
|||
|
|
Njeru 0.4311 33.1478 Uganda
|
|||
|
|
Torbali 38.1619 27.3583 Turkey
|
|||
|
|
Ilheus -14.7889 -39.0489 Brazil
|
|||
|
|
Al `Arish 31.1249 33.8006 Egypt
|
|||
|
|
Langsa 4.48 97.9633 Indonesia
|
|||
|
|
Gastonia 35.2494 -81.1854 United States
|
|||
|
|
Phillaur 31.03 75.78 India
|
|||
|
|
Quevedo -1.0333 -79.45 Ecuador
|
|||
|
|
Tebingtinggi 3.3194 99.1522 Indonesia
|
|||
|
|
Kandi 11.1286 2.9369 Benin
|
|||
|
|
Nijmegen 51.8475 5.8625 Netherlands
|
|||
|
|
Unnao 26.55 80.49 India
|
|||
|
|
Dundo -7.3801 20.8351 Angola
|
|||
|
|
Meiktila 20.8833 95.8833 Burma
|
|||
|
|
Salinas 36.6883 -121.6317 United States
|
|||
|
|
Sitapur 27.57 80.66 India
|
|||
|
|
La Pintana -33.5833 -70.6333 Chile
|
|||
|
|
Ambato -1.2417 -78.6197 Ecuador
|
|||
|
|
Almada 38.6803 -9.1583 Portugal
|
|||
|
|
Riobamba -1.6731 -78.6483 Ecuador
|
|||
|
|
Kalamboli 19.2333 73.1333 India
|
|||
|
|
Ciudad Valles 21.9833 -99.0167 Mexico
|
|||
|
|
Fredericksburg 38.2992 -77.4872 United States
|
|||
|
|
Maidstone 51.272 0.529 United Kingdom
|
|||
|
|
San Luis Rio Colorado 32.4767 -114.7625 Mexico
|
|||
|
|
Letpandan 17.7866 95.7507 Burma
|
|||
|
|
Hamilton -37.7833 175.2833 New Zealand
|
|||
|
|
Al Juwayyidah 31.9167 35.95 Jordan
|
|||
|
|
Cianjur -6.82 107.1408 Indonesia
|
|||
|
|
Ontario 34.0393 -117.6064 United States
|
|||
|
|
Ar Rahmaniyah 31.1062 30.6337 Egypt
|
|||
|
|
Waraseoni 21.7647 80.0494 India
|
|||
|
|
Castellon de la Plana 39.9831 -0.0331 Spain
|
|||
|
|
Leon 12.4333 -86.8867 Nicaragua
|
|||
|
|
Mauli 30.699 76.693 India
|
|||
|
|
Harnaut 25.3694 85.5319 India
|
|||
|
|
Bejaia 36.7511 5.0642 Algeria
|
|||
|
|
Elk Grove 38.4161 -121.3842 United States
|
|||
|
|
Biu 10.6111 12.195 Nigeria
|
|||
|
|
Arafat 18.0464 -15.9719 Mauritania
|
|||
|
|
Rantau Prapat 2.3333 100.05 Indonesia
|
|||
|
|
Krasnogorsk 55.8217 37.3386 Russia
|
|||
|
|
Catumbela -12.4339 13.5433 Angola
|
|||
|
|
Shibirghan 36.665 65.752 Afghanistan
|
|||
|
|
El Bosque -33.5667 -70.675 Chile
|
|||
|
|
Gainesville 34.2902 -83.8294 United States
|
|||
|
|
Santa Maria Texmelucan 19.2833 -98.4333 Mexico
|
|||
|
|
Matosinhos 41.1833 -8.7 Portugal
|
|||
|
|
Navadwip 23.42 88.37 India
|
|||
|
|
Salatiga -7.3247 110.5444 Indonesia
|
|||
|
|
Maragheh 37.3894 46.2378 Iran
|
|||
|
|
Kotdwara 29.75 78.53 India
|
|||
|
|
Amadora 38.7333 -9.2333 Portugal
|
|||
|
|
Durres 41.3133 19.4458 Albania
|
|||
|
|
Chicoloapan 19.4167 -98.9 Mexico
|
|||
|
|
Khapalu 35.1667 76.3333 Pakistan
|
|||
|
|
Bodrum 37.0378 27.4242 Turkey
|
|||
|
|
Yangmei 24.9167 121.15 Taiwan
|
|||
|
|
Pilibhit 28.6267 79.8058 India
|
|||
|
|
Sirjan 29.437 55.6802 Iran
|
|||
|
|
Narashino 35.6804 140.0265 Japan
|
|||
|
|
Cary 35.7819 -78.8195 United States
|
|||
|
|
Curug -6.3711 106.8 Indonesia
|
|||
|
|
Rancho Cucamonga 34.1247 -117.5667 United States
|
|||
|
|
Kangqiao 31.35 105.0667 China
|
|||
|
|
Timon -5.0939 -42.8369 Brazil
|
|||
|
|
Burgos 42.35 -3.7067 Spain
|
|||
|
|
Dagupan City 16.043 120.334 Philippines
|
|||
|
|
Ludwigshafen 49.4811 8.4353 Germany
|
|||
|
|
Bac Giang 21.2667 106.2 Vietnam
|
|||
|
|
Alleppey 9.49 76.33 India
|
|||
|
|
Ada 7.8956 4.7094 Nigeria
|
|||
|
|
Habaswein 1.01 39.49 Kenya
|
|||
|
|
Gliwice 50.2833 18.6667 Poland
|
|||
|
|
Piedras Negras 28.7 -100.5231 Mexico
|
|||
|
|
Linjiang 41.8167 126.9167 China
|
|||
|
|
Carupano 10.6722 -63.2403 Venezuela
|
|||
|
|
Bida 9.0804 6.01 Nigeria
|
|||
|
|
Sakura 35.7167 140.2167 Japan
|
|||
|
|
Townsville -19.25 146.8167 Australia
|
|||
|
|
Oceanside 33.2247 -117.3083 United States
|
|||
|
|
Cuddalore 11.75 79.75 India
|
|||
|
|
Patra 38.25 21.7333 Greece
|
|||
|
|
Basel 47.5547 7.5906 Switzerland
|
|||
|
|
Tlemcen 34.8828 -1.3167 Algeria
|
|||
|
|
Lubao 14.93 120.6 Philippines
|
|||
|
|
Mexico 15.07 120.72 Philippines
|
|||
|
|
Gondal 21.958 70.795 India
|
|||
|
|
Shahin Shahr 32.8606 51.5531 Iran
|
|||
|
|
Syzran 53.1667 48.4667 Russia
|
|||
|
|
Deo 24.6561 84.4356 India
|
|||
|
|
Albacete 38.9956 -1.8558 Spain
|
|||
|
|
Fenglu 24.6506 102.935 China
|
|||
|
|
Keningau 5.3333 116.1667 Malaysia
|
|||
|
|
Akhisar 38.9239 27.84 Turkey
|
|||
|
|
Podgorica 42.4414 19.2628 Montenegro
|
|||
|
|
Sherbrooke 45.4 -71.9 Canada
|
|||
|
|
Kamakurayama 35.3197 139.5525 Japan
|
|||
|
|
Ha Long 20.95 107.0667 Vietnam
|
|||
|
|
Oldenburg 53.1439 8.2139 Germany
|
|||
|
|
Silchar 24.82 92.8 India
|
|||
|
|
Chirala 15.8246 80.3521 India
|
|||
|
|
Gadag 15.4167 75.6167 India
|
|||
|
|
Santander 43.4628 -3.805 Spain
|
|||
|
|
Saint-Etienne 45.4347 4.3903 France
|
|||
|
|
Mang La 14.3617 108.0083 Vietnam
|
|||
|
|
Hitachi 36.5991 140.6515 Japan
|
|||
|
|
Jabalya 31.5281 34.4831 Gaza Strip
|
|||
|
|
Polomolok 6.22 125.07 Philippines
|
|||
|
|
Ongata Rongai -1.4 36.77 Kenya
|
|||
|
|
Sacaba -17.4042 -66.0408 Bolivia
|
|||
|
|
General Mariano Alvarez 14.3 121 Philippines
|
|||
|
|
Mulheim 51.4275 6.8825 Germany
|
|||
|
|
Lagos de Moreno 21.35 -101.9167 Mexico
|
|||
|
|
Tiruvannamalai 12.13 79.07 India
|
|||
|
|
Kindu -2.95 25.95 Congo (Kinshasa)
|
|||
|
|
Kaolack 14.1389 -16.0764 Senegal
|
|||
|
|
Bidar 17.912 77.52 India
|
|||
|
|
Baranavichy 53.1333 26.0167 Belarus
|
|||
|
|
San Miguel 15.1458 120.9783 Philippines
|
|||
|
|
Bade 24.9575 121.2989 Taiwan
|
|||
|
|
Talhar 24.8833 68.8167 Pakistan
|
|||
|
|
Jalalabad 30.62 74.25 India
|
|||
|
|
Izumo 35.3669 132.7547 Japan
|
|||
|
|
Rafah 31.2725 34.2586 Gaza Strip
|
|||
|
|
Bir el Djir 35.7367 -0.5542 Algeria
|
|||
|
|
Ait Melloul 30.3342 -9.4972 Morocco
|
|||
|
|
Oeiras 38.6833 -9.3167 Portugal
|
|||
|
|
Alcorcon 40.35 -3.8333 Spain
|
|||
|
|
Cazanga -9.3 14.95 Angola
|
|||
|
|
Garden Grove 33.7787 -117.9601 United States
|
|||
|
|
Kempton Park -26.1 28.2333 South Africa
|
|||
|
|
Volgodonsk 47.5167 42.15 Russia
|
|||
|
|
Lancaster 34.6935 -118.1753 United States
|
|||
|
|
Al Kufah 32.03 44.4 Iraq
|
|||
|
|
Araguaina -7.1908 -48.2069 Brazil
|
|||
|
|
Metro -5.1167 105.3 Indonesia
|
|||
|
|
Nawsari 20.95 72.93 India
|
|||
|
|
Surigao 9.7897 125.4958 Philippines
|
|||
|
|
Ercis 39.0311 43.3597 Turkey
|
|||
|
|
Reggio di Calabria 38.1114 15.6619 Italy
|
|||
|
|
Makurdi 7.7333 8.5 Nigeria
|
|||
|
|
Bao Loc 11.5481 107.8075 Vietnam
|
|||
|
|
Kohat 33.5833 71.4333 Pakistan
|
|||
|
|
Nishio 34.83 137.0697 Japan
|
|||
|
|
Medford 42.3372 -122.854 United States
|
|||
|
|
Damoh 23.8331 79.4419 India
|
|||
|
|
Kalale 10.2953 3.3786 Benin
|
|||
|
|
Kroonstad -27.65 27.2333 South Africa
|
|||
|
|
Toliara -23.35 43.6667 Madagascar
|
|||
|
|
Bayamon 18.3794 -66.1635 Puerto Rico
|
|||
|
|
Calabozo 8.9333 -67.4333 Venezuela
|
|||
|
|
Baliuag 14.954 120.901 Philippines
|
|||
|
|
Haripur 31.53 75.92 India
|
|||
|
|
Mahabad 36.7678 45.7339 Iran
|
|||
|
|
Neyveli 11.6088 79.4994 India
|
|||
|
|
Bordj Bou Arreridj 36.0667 4.7667 Algeria
|
|||
|
|
Mauldin 34.7821 -82.3032 United States
|
|||
|
|
Karaman 37.1819 33.2181 Turkey
|
|||
|
|
Moratuwa 6.7991 79.8767 Sri Lanka
|
|||
|
|
Francisco Morato -23.2817 -46.7425 Brazil
|
|||
|
|
Korfez 40.7833 29.7333 Turkey
|
|||
|
|
Singida -4.8167 34.75 Tanzania
|
|||
|
|
Warrington 53.39 -2.59 United Kingdom
|
|||
|
|
Udipi 13.3389 74.7451 India
|
|||
|
|
Saqqez 36.2411 46.2706 Iran
|
|||
|
|
Fyzabad 26.773 82.146 India
|
|||
|
|
Kokshetau 53.2833 69.3833 Kazakhstan
|
|||
|
|
Ebo -11 14.6667 Angola
|
|||
|
|
Manavgat 36.7833 31.4333 Turkey
|
|||
|
|
Fukang 44.1646 87.9536 China
|
|||
|
|
Idlib 35.9333 36.6333 Syria
|
|||
|
|
Sawai Madhopur 26 76.35 India
|
|||
|
|
Lajes -27.8158 -50.3258 Brazil
|
|||
|
|
Tenali 16.239 80.645 India
|
|||
|
|
Cienfuegos 22.1456 -80.4364 Cuba
|
|||
|
|
Petropavlovsk-Kamchatskiy 53.0167 158.65 Russia
|
|||
|
|
High Point 35.991 -79.9937 United States
|
|||
|
|
Bocoio -12.45 14.15 Angola
|
|||
|
|
Abengourou 6.7333 -3.4833 Côte d’Ivoire
|
|||
|
|
Tuscaloosa 33.2348 -87.5268 United States
|
|||
|
|
Conjeeveram 12.8185 79.6947 India
|
|||
|
|
Hadano 35.3667 139.2167 Japan
|
|||
|
|
Chillan -36.6 -72.1167 Chile
|
|||
|
|
Abu Hulayfah 29.1322 48.1261 Kuwait
|
|||
|
|
Madhubani 26.3519 86.0719 India
|
|||
|
|
Arnhem 51.9833 5.9167 Netherlands
|
|||
|
|
Quibala -10.7333 14.9833 Angola
|
|||
|
|
Proddatur 14.75 78.55 India
|
|||
|
|
Baubau -5.4667 122.633 Indonesia
|
|||
|
|
Tunja 5.5333 -73.3667 Colombia
|
|||
|
|
Teresopolis -22.4119 -42.9658 Brazil
|
|||
|
|
San Marcos 10.6204 -84.512 Costa Rica
|
|||
|
|
Pocos de Caldas -21.7878 -46.5608 Brazil
|
|||
|
|
Sultanpur Mazra 28.6981 77.0689 India
|
|||
|
|
Visalia 36.3276 -119.3269 United States
|
|||
|
|
Wapi 20.372 72.917 India
|
|||
|
|
Blida 36.4686 2.8319 Algeria
|
|||
|
|
Sidon 33.5606 35.3758 Lebanon
|
|||
|
|
Wau 7.7 28 South Sudan
|
|||
|
|
Tokat 40.3139 36.5542 Turkey
|
|||
|
|
Garissa -0.4569 39.6583 Kenya
|
|||
|
|
Pocheon 37.8947 127.2002 Korea
|
|||
|
|
Skikda 36.8667 6.9 Algeria
|
|||
|
|
Muridke 31.802 74.255 Pakistan
|
|||
|
|
Muzaffargarh 30.0694 71.1942 Pakistan
|
|||
|
|
Kebili 33.705 8.965 Tunisia
|
|||
|
|
San Fernando -34.45 -58.5667 Argentina
|
|||
|
|
Turgutlu 38.5 27.7 Turkey
|
|||
|
|
Jizzax 40.1158 67.8422 Uzbekistan
|
|||
|
|
Ungaran -7.1381 110.405 Indonesia
|
|||
|
|
Kyaunggon 17.1 95.1833 Burma
|
|||
|
|
Huddersfield 53.645 -1.7798 United Kingdom
|
|||
|
|
Ube 33.9517 131.2467 Japan
|
|||
|
|
Bandar-e Mahshahr 30.5567 49.1897 Iran
|
|||
|
|
Nazilli 37.9125 28.3206 Turkey
|
|||
|
|
Simao 22.7807 100.9782 China
|
|||
|
|
Anaco 9.4819 -64.4917 Venezuela
|
|||
|
|
Marysville 48.0809 -122.1561 United States
|
|||
|
|
Golcuk 40.7172 29.8228 Turkey
|
|||
|
|
Haarlem 52.3833 4.6333 Netherlands
|
|||
|
|
Boma -5.85 13.05 Congo (Kinshasa)
|
|||
|
|
Tuxtepec 18.1 -96.1167 Mexico
|
|||
|
|
Sullana -4.9 -80.6833 Peru
|
|||
|
|
San Andres Tuxtla 18.4483 -95.2122 Mexico
|
|||
|
|
Heidelberg 49.4167 8.7167 Germany
|
|||
|
|
Darmstadt 49.8722 8.6528 Germany
|
|||
|
|
Parnaiba -2.905 -41.7769 Brazil
|
|||
|
|
Mukono 0.3533 32.7553 Uganda
|
|||
|
|
Hala 25.81 68.43 Pakistan
|
|||
|
|
Godhra 22.7772 73.6203 India
|
|||
|
|
Rafsanjan 30.4111 55.9911 Iran
|
|||
|
|
Sariaya 13.97 121.53 Philippines
|
|||
|
|
Multai 21.77 78.25 India
|
|||
|
|
Perugia 43.1122 12.3889 Italy
|
|||
|
|
Nador 35.1667 -2.9333 Morocco
|
|||
|
|
Guadalajara 40.6337 -3.1674 Spain
|
|||
|
|
Tema 5.6667 -0.0167 Ghana
|
|||
|
|
Zemun 44.85 20.4 Serbia
|
|||
|
|
Ndalatando -9.3 14.9167 Angola
|
|||
|
|
Salihli 38.4811 28.1392 Turkey
|
|||
|
|
Daule -1.8667 -79.9833 Ecuador
|
|||
|
|
Rajapalaiyam 9.4204 77.58 India
|
|||
|
|
Zhanlicun 23.2881 116.2594 China
|
|||
|
|
Pangzawl 22.91 92.76 India
|
|||
|
|
Bontang 0.1333 117.5 Indonesia
|
|||
|
|
Jinggang 23.2722 113.2183 China
|
|||
|
|
Ash Shihaniyah 25.3722 51.2047 Qatar
|
|||
|
|
Papantla de Olarte 20.4478 -97.32 Mexico
|
|||
|
|
San Miguel del Padron 23.0964 -82.3267 Cuba
|
|||
|
|
Tulancingo 20.0833 -98.3667 Mexico
|
|||
|
|
Tacheng 46.7517 82.9869 China
|
|||
|
|
Tan Phu 11.272 107.4367 Vietnam
|
|||
|
|
Naic 14.32 120.77 Philippines
|
|||
|
|
Liancheng 24.0515 105.0573 China
|
|||
|
|
General Roca -39.0333 -67.5833 Argentina
|
|||
|
|
Zaranj 30.96 61.86 Afghanistan
|
|||
|
|
Al Ghardaqah 27.2578 33.8117 Egypt
|
|||
|
|
Kidapawan 7.0083 125.0894 Philippines
|
|||
|
|
Chittoor 13.216 79.098 India
|
|||
|
|
Braganca Paulista -22.9531 -46.5422 Brazil
|
|||
|
|
Solingen 51.1667 7.0833 Germany
|
|||
|
|
Merced 37.3057 -120.4779 United States
|
|||
|
|
Pindamonhangaba -22.9239 -45.4617 Brazil
|
|||
|
|
Hayward 37.6328 -122.0766 United States
|
|||
|
|
Split 43.51 16.44 Croatia
|
|||
|
|
Lafayette 40.3991 -86.8593 United States
|
|||
|
|
Ziarat 30.381 67.727 Pakistan
|
|||
|
|
Giron 7.0708 -73.1731 Colombia
|
|||
|
|
Miyakonojo 31.7194 131.0617 Japan
|
|||
|
|
Dong Hoi 17.4831 106.5997 Vietnam
|
|||
|
|
Tra Vinh 9.9333 106.35 Vietnam
|
|||
|
|
Khanpur 28.65 70.68 Pakistan
|
|||
|
|
Ferkessedougou 9.5833 -5.2 Côte d’Ivoire
|
|||
|
|
Southend 51.55 0.71 United Kingdom
|
|||
|
|
Ciudad Acuna 29.3242 -100.9317 Mexico
|
|||
|
|
Jose Maria Ezeiza -34.8333 -58.5167 Argentina
|
|||
|
|
Khost 33.3331 69.9169 Afghanistan
|
|||
|
|
Koudougou 12.25 -2.3667 Burkina Faso
|
|||
|
|
Saint-Marc 19.1167 -72.7 Haiti
|
|||
|
|
Ninh Binh 20.2539 105.975 Vietnam
|
|||
|
|
Bingol 38.8861 40.5017 Turkey
|
|||
|
|
Dhamar 14.55 44.4017 Yemen
|
|||
|
|
Sivakasi 9.4533 77.8024 India
|
|||
|
|
Huaycan -12.0181 -76.8139 Peru
|
|||
|
|
San Nicolas de los Arroyos -33.3333 -60.2167 Argentina
|
|||
|
|
Osorno -40.5725 -73.1353 Chile
|
|||
|
|
Milagro -2.1347 -79.5872 Ecuador
|
|||
|
|
Ceyhan 37.0289 35.8125 Turkey
|
|||
|
|
Moga 30.822 75.174 India
|
|||
|
|
Ede 7.7389 4.4361 Nigeria
|
|||
|
|
Ekibastuz 51.6667 75.3667 Kazakhstan
|
|||
|
|
Barreiras -12.1483 -44.9925 Brazil
|
|||
|
|
Enschede 52.2225 6.8925 Netherlands
|
|||
|
|
Springfield 39.7709 -89.654 United States
|
|||
|
|
Newport 51.5886 -2.9978 United Kingdom
|
|||
|
|
Chirchiq 41.4667 69.5833 Uzbekistan
|
|||
|
|
Dijon 47.3167 5.0167 France
|
|||
|
|
Jijiga 9.35 42.8 Ethiopia
|
|||
|
|
Patos de Minas -18.5817 -46.5147 Brazil
|
|||
|
|
Budaun 28.05 79.12 India
|
|||
|
|
Ramat Gan 32.07 34.8236 Israel
|
|||
|
|
Uttarpara 22.67 88.35 India
|
|||
|
|
Catamarca -28.4667 -65.7833 Argentina
|
|||
|
|
La Laguna 28.4853 -16.3167 Spain
|
|||
|
|
Daltonganj 24.03 84.07 India
|
|||
|
|
Quipungo -14.8167 14.55 Angola
|
|||
|
|
Jequie -13.863 -40.0843 Brazil
|
|||
|
|
Benoni -26.1883 28.3206 South Africa
|
|||
|
|
Macuspana 17.7667 -92.6 Mexico
|
|||
|
|
Zhengding 38.1464 114.5708 China
|
|||
|
|
Aral 40.548 81.281 China
|
|||
|
|
Cadiz 10.95 123.3 Philippines
|
|||
|
|
Elektrostal 55.7833 38.4667 Russia
|
|||
|
|
Matsuzaka 34.5779 136.5276 Japan
|
|||
|
|
Klaipeda 55.7125 21.135 Lithuania
|
|||
|
|
Ogaki 35.3594 136.6129 Japan
|
|||
|
|
Corona 33.8616 -117.5649 United States
|
|||
|
|
Zabrze 50.3025 18.7781 Poland
|
|||
|
|
Bharuch 21.712 72.993 India
|
|||
|
|
Ilagan 17.1489 121.8894 Philippines
|
|||
|
|
Abaetetuba -1.7178 -48.8828 Brazil
|
|||
|
|
Guimaraes 41.45 -8.3 Portugal
|
|||
|
|
Ibarra 0.3627 -78.1307 Ecuador
|
|||
|
|
Paterson 40.9147 -74.1624 United States
|
|||
|
|
Gojra 31.15 72.6833 Pakistan
|
|||
|
|
Banha 30.4667 31.1833 Egypt
|
|||
|
|
Mahlaing 21.09 95.64 Burma
|
|||
|
|
Alexandria 38.8185 -77.0861 United States
|
|||
|
|
Calama -22.4667 -68.9333 Chile
|
|||
|
|
San Miguel -34.5333 -58.7167 Argentina
|
|||
|
|
Xianshuigu 38.9786 117.3886 China
|
|||
|
|
Nuzvid 16.7881 80.8465 India
|
|||
|
|
Abbottabad 34.1558 73.2194 Pakistan
|
|||
|
|
Santiago 16.68 121.55 Philippines
|
|||
|
|
Larisa 39.6417 22.4167 Greece
|
|||
|
|
Ramapo 41.1404 -74.1072 United States
|
|||
|
|
Coro 11.417 -69.67 Venezuela
|
|||
|
|
Sayama 35.853 139.4122 Japan
|
|||
|
|
Taza 34.2167 -4.0167 Morocco
|
|||
|
|
Jean-Rabel 19.85 -73.2 Haiti
|
|||
|
|
Al `Aqabah 29.5319 35.0056 Jordan
|
|||
|
|
Dundee 56.462 -2.9707 United Kingdom
|
|||
|
|
Sitarganj 28.93 79.7 India
|
|||
|
|
Dongguazhen 25.076 101.509 China
|
|||
|
|
Topeka 39.0346 -95.6955 United States
|
|||
|
|
Al Hawiyah 21.4411 40.4975 Saudi Arabia
|
|||
|
|
Cagliari 39.2278 9.1111 Italy
|
|||
|
|
Nimes 43.8383 4.3597 France
|
|||
|
|
Luleburgaz 41.4056 27.3569 Turkey
|
|||
|
|
Consolacion 10.4 123.95 Philippines
|
|||
|
|
Maridi 4.91 29.45 South Sudan
|
|||
|
|
Quilpue -33.05 -71.45 Chile
|
|||
|
|
Rafael Castillo -34.7167 -58.6167 Argentina
|
|||
|
|
Zhangaozen 43.3378 52.8553 Kazakhstan
|
|||
|
|
Nchelenge -9.3533 28.7403 Zambia
|
|||
|
|
Szombathely 47.2351 16.6219 Hungary
|
|||
|
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Kutaisi 42.25 42.7 Georgia
|
|||
|
|
Komaki 35.291 136.9121 Japan
|
|||
|
|
Kiambu -1.1667 36.8167 Kenya
|
|||
|
|
Siem Reap 13.3622 103.8597 Cambodia
|
|||
|
|
Orekhovo-Borisovo Yuzhnoye 55.6 37.7333 Russia
|
|||
|
|
Hajipur 25.6925 85.2084 India
|
|||
|
|
Pesqueria 25.785 -100.0511 Mexico
|
|||
|
|
Kopeysk 55.1 61.6167 Russia
|
|||
|
|
Mati 6.9483 126.2272 Philippines
|
|||
|
|
Aix-en-Provence 43.5263 5.4454 France
|
|||
|
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Malakal 9.55 31.65 South Sudan
|
|||
|
|
Chingola -12.5333 27.85 Zambia
|
|||
|
|
Milas 37.3167 27.7833 Turkey
|
|||
|
|
La Lisa 23.0247 -82.4631 Cuba
|
|||
|
|
Burlington 36.076 -79.4685 United States
|
|||
|
|
Kafr ash Shaykh 31.1117 30.9458 Egypt
|
|||
|
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Tipitapa 12.2 -86.1 Nicaragua
|
|||
|
|
Clermont-Ferrand 45.7831 3.0824 France
|
|||
|
|
Hung Yen 20.65 106.0667 Vietnam
|
|||
|
|
Tama 35.6369 139.4463 Japan
|
|||
|
|
Dongsheng 22.8847 113.455 China
|
|||
|
|
Habra 22.83 88.63 India
|
|||
|
|
Yonago 35.4333 133.3333 Japan
|
|||
|
|
Kramatorsk 48.7392 37.5839 Ukraine
|
|||
|
|
Pageralam -4.0167 103.25 Indonesia
|
|||
|
|
Kalemie -5.9128 29.1906 Congo (Kinshasa)
|
|||
|
|
Colima 19.2433 -103.7247 Mexico
|
|||
|
|
Dawei 14.0833 98.2 Burma
|
|||
|
|
Maquela do Zombo -6.05 15.1167 Angola
|
|||
|
|
Wamba 2.1442 27.9929 Congo (Kinshasa)
|
|||
|
|
Warner Robins 32.5961 -83.6527 United States
|
|||
|
|
Cairns -16.92 145.78 Australia
|
|||
|
|
Xinjing 31.2142 121.3681 China
|
|||
|
|
Cam Ranh 11.902 109.2207 Vietnam
|
|||
|
|
Bir 18.99 75.76 India
|
|||
|
|
Florencio Varela -34.8167 -58.2833 Argentina
|
|||
|
|
Odintsovo 55.6667 37.2667 Russia
|
|||
|
|
Keren 15.7778 38.4581 Eritrea
|
|||
|
|
Dar`a 32.6189 36.1021 Syria
|
|||
|
|
West Bromwich 52.519 -1.995 United Kingdom
|
|||
|
|
Derince 40.7539 29.8231 Turkey
|
|||
|
|
Gandajika -6.75 23.9667 Congo (Kinshasa)
|
|||
|
|
Colina -33.2017 -70.6703 Chile
|
|||
|
|
Dadu 26.7325 67.7792 Pakistan
|
|||
|
|
Pleiku 13.9833 108 Vietnam
|
|||
|
|
Amreli 21.6006 71.2164 India
|
|||
|
|
Taungdwingyi 20.0017 95.5461 Burma
|
|||
|
|
Narnaul 28.0444 76.1056 India
|
|||
|
|
Jyvaskyla 62.2417 25.7417 Finland
|
|||
|
|
Chitaldrug 14.23 76.4 India
|
|||
|
|
Pyatigorsk 44.05 43.0667 Russia
|
|||
|
|
Calapan 13.414 121.18 Philippines
|
|||
|
|
Calapan 13.414 121.18 Philippines
|
|||
|
|
Franco da Rocha -23.3286 -46.7244 Brazil
|
|||
|
|
Mostaganem 35.9333 0.0833 Algeria
|
|||
|
|
Paco do Lumiar -2.5319 -44.1078 Brazil
|
|||
|
|
Etah 27.63 78.67 India
|
|||
|
|
Bani 18.29 -70.33 Dominican Republic
|
|||
|
|
Surprise 33.6815 -112.4515 United States
|
|||
|
|
Gloucester 51.8667 -2.25 United Kingdom
|
|||
|
|
Quchan 37.106 58.5095 Iran
|
|||
|
|
Vila Junqueiro -15.4667 36.9833 Mozambique
|
|||
|
|
Torrance 33.8346 -118.3416 United States
|
|||
|
|
Eregli 37.5128 34.0483 Turkey
|
|||
|
|
Foggia 41.4642 15.5461 Italy
|
|||
|
|
Iruma 35.8358 139.3911 Japan
|
|||
|
|
Abohar 30.1334 74.2001 India
|
|||
|
|
Thanatpin 17.2942 96.58 Burma
|
|||
|
|
Miskolc 48.0833 20.6667 Hungary
|
|||
|
|
Bhandaria 22.4883 90.0733 Bangladesh
|
|||
|
|
Teixeira de Freitas -17.5403 -39.7437 Brazil
|
|||
|
|
Villa de Cura 10.0383 -67.4892 Venezuela
|
|||
|
|
Facatativa 4.8167 -74.3667 Colombia
|
|||
|
|
Arad 46.175 21.3125 Romania
|
|||
|
|
Fujita 34.8674 138.2577 Japan
|
|||
|
|
Le Mans 48.0077 0.1984 France
|
|||
|
|
Kisaran 2.9833 99.6125 Indonesia
|
|||
|
|
Iguala de la Independencia 18.345 -99.5383 Mexico
|
|||
|
|
Ozamiz City 8.15 123.85 Philippines
|
|||
|
|
Harchandpur 26.36 81.17 India
|
|||
|
|
Yaritagua 10.0753 -69.1283 Venezuela
|
|||
|
|
Midland 32.0243 -102.1147 United States
|
|||
|
|
Kumbakonam 10.9602 79.3845 India
|
|||
|
|
Metairie 29.9977 -90.178 United States
|
|||
|
|
Torbat-e Heydariyeh 35.29 59.2169 Iran
|
|||
|
|
Xiangcheng 25.4783 100.5551 China
|
|||
|
|
Batu Pahat 1.8522 102.9372 Malaysia
|
|||
|
|
Nahiyat Ghammas 31.7431 44.6194 Iraq
|
|||
|
|
Peristeri 38.0167 23.6833 Greece
|
|||
|
|
Darwin -12.4381 130.8411 Australia
|
|||
|
|
Reykjavik 64.1467 -21.94 Iceland
|
|||
|
|
Atbara 17.6972 33.9783 Sudan
|
|||
|
|
Kanasin 20.9344 -89.5578 Mexico
|
|||
|
|
Gia Rai 9.25 105.417 Vietnam
|
|||
|
|
Payatas 14.7099 121.0997 Philippines
|
|||
|
|
Debre Birhan 9.6833 39.5333 Ethiopia
|
|||
|
|
La Romana 18.43 -68.97 Dominican Republic
|
|||
|
|
Aul 20.67 86.64 India
|
|||
|
|
Brest 48.39 -4.49 France
|
|||
|
|
Masaya 11.9667 -86.1 Nicaragua
|
|||
|
|
Malambo 10.85 -74.75 Colombia
|
|||
|
|
Rubtsovsk 51.5167 81.2 Russia
|
|||
|
|
Momostenango 15.0444 -91.4083 Guatemala
|
|||
|
|
Pakpattan 30.3442 73.3839 Pakistan
|
|||
|
|
Botucatu -22.8858 -48.445 Brazil
|
|||
|
|
Jicheon 36.1333 128.1 Korea
|
|||
|
|
Tanay 14.4972 121.2864 Philippines
|
|||
|
|
Blackpool 53.8142 -3.0503 United Kingdom
|
|||
|
|
Carolina 18.4054 -65.9792 Puerto Rico
|
|||
|
|
Trois-Rivieres 46.35 -72.55 Canada
|
|||
|
|
Balneario de Camboriu -26.9953 -48.6356 Brazil
|
|||
|
|
Maykop 44.6 40.0833 Russia
|
|||
|
|
Balkanabat 39.5167 54.3667 Turkmenistan
|
|||
|
|
Dos Hermanas 37.2836 -5.9222 Spain
|
|||
|
|
Apeldoorn 52.2167 5.9667 Netherlands
|
|||
|
|
Pantanal 18.5333 -68.3667 Dominican Republic
|
|||
|
|
West Valley City 40.6886 -112.0123 United States
|
|||
|
|
Ishizaki 38.4176 141.3027 Japan
|
|||
|
|
Carsamba 41.1992 36.7275 Turkey
|
|||
|
|
Kuwana 35.0667 136.6833 Japan
|
|||
|
|
Orange 33.8038 -117.8218 United States
|
|||
|
|
Warren 42.4934 -83.027 United States
|
|||
|
|
Gemena 3.25 19.7667 Congo (Kinshasa)
|
|||
|
|
Sancti Spiritus 21.9339 -79.4439 Cuba
|
|||
|
|
Whitby 43.8833 -78.9417 Canada
|
|||
|
|
Cambridge 43.3972 -80.3114 Canada
|
|||
|
|
Kolar 13.1333 78.1333 India
|
|||
|
|
Grand Junction 39.0877 -108.5673 United States
|
|||
|
|
Medea 36.2675 2.75 Algeria
|
|||
|
|
Teluknaga -6.0989 106.6381 Indonesia
|
|||
|
|
Tarragona 41.1175 1.2528 Spain
|
|||
|
|
Koga 36.1782 139.7554 Japan
|
|||
|
|
Dipolog 8.5872 123.3408 Philippines
|
|||
|
|
Dabou 5.3167 -4.3833 Côte d’Ivoire
|
|||
|
|
Tsuchiura 36.0667 140.2 Japan
|
|||
|
|
Tyler 32.3184 -95.3062 United States
|
|||
|
|
Jacmel 18.2353 -72.5367 Haiti
|
|||
|
|
Chicacole 18.3 83.9 India
|
|||
|
|
Montero -17.3422 -63.2558 Bolivia
|
|||
|
|
Koutiala 12.3833 -5.4667 Mali
|
|||
|
|
Shunan 34.055 131.8061 Japan
|
|||
|
|
Candelaria 13.9311 121.4233 Philippines
|
|||
|
|
Silivri 41.0736 28.2478 Turkey
|
|||
|
|
Mthatha -31.58 28.79 South Africa
|
|||
|
|
Gaziemir 38.3214 27.1275 Turkey
|
|||
|
|
Brusque -27.0949 -48.9148 Brazil
|
|||
|
|
Tours 47.3936 0.6892 France
|
|||
|
|
Igdir 39.9208 44.0444 Turkey
|
|||
|
|
Kovrov 56.3683 41.3108 Russia
|
|||
|
|
Gunungsitoli 1.2833 97.6167 Indonesia
|
|||
|
|
Negage -7.7667 15.2667 Angola
|
|||
|
|
Pasadena 34.1597 -118.139 United States
|
|||
|
|
Teofilo Otoni -17.8578 -41.505 Brazil
|
|||
|
|
La Trinidad 16.46 120.59 Philippines
|
|||
|
|
Bankura 23.25 87.07 India
|
|||
|
|
Mandya 12.52 76.9 India
|
|||
|
|
Palhoca -27.6444 -48.6678 Brazil
|
|||
|
|
Norrkoping 58.6 16.2 Sweden
|
|||
|
|
Jolo 6 121 Philippines
|
|||
|
|
Kusatsu 35.0167 135.9667 Japan
|
|||
|
|
Cunduacan 18.0667 -93.1667 Mexico
|
|||
|
|
Dehri 24.91 84.18 India
|
|||
|
|
Hampton 37.0551 -76.363 United States
|
|||
|
|
Sinfra 6.85 -5.9167 Côte d’Ivoire
|
|||
|
|
Myebon 20.05 93.3667 Burma
|
|||
|
|
Atibaia -23.1172 -46.5506 Brazil
|
|||
|
|
Quillacollo -17.4 -66.2833 Bolivia
|
|||
|
|
Medina Estates 5.6833 -0.1667 Ghana
|
|||
|
|
Stockport 53.4083 -2.1494 United Kingdom
|
|||
|
|
Kanata 45.3333 -75.9 Canada
|
|||
|
|
Rangkasbitung -6.3667 106.25 Indonesia
|
|||
|
|
Porto Amboim -10.7183 13.75 Angola
|
|||
|
|
Mino 34.8269 135.4706 Japan
|
|||
|
|
Durgauti 25.2114 83.5308 India
|
|||
|
|
Curico -34.9833 -71.2333 Chile
|
|||
|
|
Vila Franca de Xira 38.95 -8.9833 Portugal
|
|||
|
|
Igboho 8.8333 3.75 Nigeria
|
|||
|
|
Gingoog 8.82 125.1 Philippines
|
|||
|
|
Phu Ly 20.5411 105.9139 Vietnam
|
|||
|
|
Marivan 35.5217 46.1806 Iran
|
|||
|
|
Huehuetenango 15.3147 -91.4761 Guatemala
|
|||
|
|
Barrechid 33.2667 -7.5833 Morocco
|
|||
|
|
San Justo -34.6833 -58.55 Argentina
|
|||
|
|
Shizuishan 39.2333 106.769 China
|
|||
|
|
Mainpuri 27.23 79.02 India
|
|||
|
|
Nasugbu 14.07 120.63 Philippines
|
|||
|
|
Bloomington 40.4757 -88.9703 United States
|
|||
|
|
Quimbele -6.5167 16.2167 Angola
|
|||
|
|
Varginha -21.5517 -45.43 Brazil
|
|||
|
|
Port-Gentil -0.7167 8.7833 Gabon
|
|||
|
|
Carcar 10.12 123.63 Philippines
|
|||
|
|
Qabr as Sitt 33.4472 36.3361 Syria
|
|||
|
|
Ashqelon 31.6667 34.5667 Israel
|
|||
|
|
Minoo 34.8333 135.4667 Japan
|
|||
|
|
Mabacun 24.6807 113.5936 China
|
|||
|
|
Laghouat 33.8028 2.875 Algeria
|
|||
|
|
Salto -23.2008 -47.2869 Brazil
|
|||
|
|
Sibiu 45.7928 24.1519 Romania
|
|||
|
|
Brighton 50.8208 -0.1375 United Kingdom
|
|||
|
|
Zafarwal 32.35 74.9 Pakistan
|
|||
|
|
Londuimbali -12.2419 15.3133 Angola
|
|||
|
|
Cameta -2.2439 -49.4958 Brazil
|
|||
|
|
Vitoria de Santo Antao -8.1264 -35.3075 Brazil
|
|||
|
|
Dumaguete City 9.3103 123.3081 Philippines
|
|||
|
|
Navoiy 40.0844 65.3792 Uzbekistan
|
|||
|
|
Marianao 23.0833 -82.4333 Cuba
|
|||
|
|
Sale 53.424 -2.322 United Kingdom
|
|||
|
|
Luuq 3.6981 42.5972 Somalia
|
|||
|
|
Ba Don 17.7547 106.4231 Vietnam
|
|||
|
|
Gubeng -7.2729 112.7493 Indonesia
|
|||
|
|
Daraga 13.1619 123.6939 Philippines
|
|||
|
|
Veszprem 47.093 17.9138 Hungary
|
|||
|
|
Lakewood 40.0763 -74.2031 United States
|
|||
|
|
Famalicao 41.4 -8.5167 Portugal
|
|||
|
|
Sripur 24.2011 90.4843 Bangladesh
|
|||
|
|
Kipushi -11.7625 27.25 Congo (Kinshasa)
|
|||
|
|
Gondia 21.4598 80.195 India
|
|||
|
|
Zhangmu Touwei 22.9149 114.0833 China
|
|||
|
|
Schaarbeek 50.8675 4.3736 Belgium
|
|||
|
|
Luxembourg 49.6117 6.1319 Luxembourg
|
|||
|
|
Rehovot 31.8969 34.8167 Israel
|
|||
|
|
San Carlos 10.4929 123.4095 Philippines
|
|||
|
|
Sao Mateus -18.7158 -39.8589 Brazil
|
|||
|
|
Dalupura 28.6004 77.3194 India
|
|||
|
|
Mogaung 25.3014 96.9417 Burma
|
|||
|
|
Odemis 38.2311 27.9719 Turkey
|
|||
|
|
Kingston 44.3128 -76.4553 Canada
|
|||
|
|
San Luis 16.2 -89.44 Guatemala
|
|||
|
|
Centro Habana 23.1333 -82.3833 Cuba
|
|||
|
|
Zagnanado 7.2667 2.35 Benin
|
|||
|
|
Isahaya 32.85 130.0667 Japan
|
|||
|
|
Yakima 46.5923 -120.5496 United States
|
|||
|
|
Adonara -8.25 123.15 Indonesia
|
|||
|
|
Talavera 15.5839 120.9189 Philippines
|
|||
|
|
Rustavi 41.5436 45.0117 Georgia
|
|||
|
|
Carrollton 32.989 -96.8999 United States
|
|||
|
|
San Juan 18.81 -71.23 Dominican Republic
|
|||
|
|
Aware 8.2667 44.15 Ethiopia
|
|||
|
|
Naryai ka Puri 26.52 78.35 India
|
|||
|
|
Blitar -8.1 112.15 Indonesia
|
|||
|
|
Racine 42.7274 -87.8135 United States
|
|||
|
|
Karabuk 41.1986 32.6264 Turkey
|
|||
|
|
Palwal 28.1447 77.3255 India
|
|||
|
|
Ome 35.788 139.2758 Japan
|
|||
|
|
Chicomba -14.1333 14.9167 Angola
|
|||
|
|
Johnson City 36.3406 -82.3806 United States
|
|||
|
|
Annecy 45.916 6.133 France
|
|||
|
|
Papeete -17.5334 -149.5667 French Polynesia
|
|||
|
|
Cubatao -23.8953 -46.4256 Brazil
|
|||
|
|
Conselheiro Lafaiete -20.66 -43.7858 Brazil
|
|||
|
|
Ji-Parana -10.8853 -61.9517 Brazil
|
|||
|
|
Al Khmissat 33.8167 -6.0667 Morocco
|
|||
|
|
Billings 45.7891 -108.5526 United States
|
|||
|
|
Jijel 36.8167 5.75 Algeria
|
|||
|
|
Furth 49.4667 11 Germany
|
|||
|
|
Buea 4.1667 9.2333 Cameroon
|
|||
|
|
Apopa 13.8 -89.1833 El Salvador
|
|||
|
|
Itapipoca -3.4939 -39.5789 Brazil
|
|||
|
|
Spanish Town 17.9959 -76.9551 Jamaica
|
|||
|
|
Lam Tin 22.3094 114.2361 Hong Kong
|
|||
|
|
Palghat 10.775 76.651 India
|
|||
|
|
Atyrau 47.1167 51.8833 Kazakhstan
|
|||
|
|
Araras -22.3572 -47.3844 Brazil
|
|||
|
|
Maijdi 22.8333 91.1 Bangladesh
|
|||
|
|
Kusadasi 37.8597 27.2597 Turkey
|
|||
|
|
Vlore 40.4667 19.4833 Albania
|
|||
|
|
Quibdo 5.6922 -76.6581 Colombia
|
|||
|
|
Marand 38.4331 45.7686 Iran
|
|||
|
|
Bassila 9.0167 1.6667 Benin
|
|||
|
|
Thaton 16.9333 97.3667 Burma
|
|||
|
|
Zama 35.4833 139.4 Japan
|
|||
|
|
Chittandikavundanur 10.6129 76.8508 India
|
|||
|
|
Iowa City 41.6559 -91.5303 United States
|
|||
|
|
Nanqiaotou 22.7176 113.2918 China
|
|||
|
|
Shuangcheng 45.3503 126.28 China
|
|||
|
|
Surat Thani 9.1397 99.3306 Thailand
|
|||
|
|
Narita 35.7767 140.3183 Japan
|
|||
|
|
Lao Cai 22.4806 103.975 Vietnam
|
|||
|
|
Trinidad -14.8292 -64.9014 Bolivia
|
|||
|
|
Innsbruck 47.2683 11.3933 Austria
|
|||
|
|
Kozan 37.45 35.8 Turkey
|
|||
|
|
Angono 14.5234 121.1536 Philippines
|
|||
|
|
Silay 10.8 122.97 Philippines
|
|||
|
|
Anand 22.556 72.951 India
|
|||
|
|
Jiroft 28.6797 57.7447 Iran
|
|||
|
|
City of Isabela 6.7 121.97 Philippines
|
|||
|
|
Nantou 22.7217 113.2926 China
|
|||
|
|
Los Guayos 10.1833 -67.9333 Venezuela
|
|||
|
|
Inezgane 30.3658 -9.5381 Morocco
|
|||
|
|
Arcahaie 18.7667 -72.5167 Haiti
|
|||
|
|
Botad 22.17 71.67 India
|
|||
|
|
Abiko 35.8667 140.0333 Japan
|
|||
|
|
Tabarre 18.5833 -72.2667 Haiti
|
|||
|
|
Udon Thani 17.4167 102.75 Thailand
|
|||
|
|
Baiyashi 26.4019 111.2864 China
|
|||
|
|
Lincoln 53.2283 -0.5389 United Kingdom
|
|||
|
|
Mojokerto -7.4722 112.4336 Indonesia
|
|||
|
|
Dover 39.161 -75.5202 United States
|
|||
|
|
Onomichi 34.4167 133.2 Japan
|
|||
|
|
Lucheng 29.9985 101.9569 China
|
|||
|
|
Apucarana -23.5508 -51.4608 Brazil
|
|||
|
|
Jamundi 3.2667 -76.55 Colombia
|
|||
|
|
Ergani 38.2692 39.7617 Turkey
|
|||
|
|
Relizane 35.7333 0.55 Algeria
|
|||
|
|
Polokwane -23.9 29.45 South Africa
|
|||
|
|
Aaley 33.8 35.6 Lebanon
|
|||
|
|
Cili 29.4225 111.1219 China
|
|||
|
|
Battambang 13.1 103.2 Cambodia
|
|||
|
|
Taldyqorghan 45.0167 78.3667 Kazakhstan
|
|||
|
|
Huejutla de Reyes 21.1333 -98.4167 Mexico
|
|||
|
|
Bongaigaon 26.4769 90.5583 India
|
|||
|
|
Bellingham 48.7548 -122.469 United States
|
|||
|
|
Mukerian 31.95 75.62 India
|
|||
|
|
Zwolle 52.5167 6.1 Netherlands
|
|||
|
|
Girardot 4.305 -74.8017 Colombia
|
|||
|
|
Vespasiano -19.6919 -43.9228 Brazil
|
|||
|
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Limoges 45.8353 1.2625 France
|
|||
|
|
Charleston 38.3484 -81.6322 United States
|
|||
|
|
Ponnagyun 20.3342 93.0039 Burma
|
|||
|
|
Sukrah 36.8833 10.25 Tunisia
|
|||
|
|
Araruama -22.8728 -42.3428 Brazil
|
|||
|
|
Cayirova 40.8 29.4167 Turkey
|
|||
|
|
Hanumangarh 29.58 74.32 India
|
|||
|
|
Jetpur 21.7542 70.6222 India
|
|||
|
|
Arcot 12.9047 79.3238 India
|
|||
|
|
Kokubunji 35.7109 139.4622 Japan
|
|||
|
|
Amherst 43.0117 -78.757 United States
|
|||
|
|
Kanchrapara 22.9456 88.4332 India
|
|||
|
|
Parepare -4.0167 119.6236 Indonesia
|
|||
|
|
Cienaga 11.0069 -74.25 Colombia
|
|||
|
|
Sabara -19.8858 -43.8069 Brazil
|
|||
|
|
Chinguar -12.55 16.3333 Angola
|
|||
|
|
Ferrara 44.8333 11.6167 Italy
|
|||
|
|
Antsiranana -12.3 49.2833 Madagascar
|
|||
|
|
Tottenham 51.5975 -0.0681 United Kingdom
|
|||
|
|
Mansa -11.2 28.8833 Zambia
|
|||
|
|
Jamaame 0.0667 42.75 Somalia
|
|||
|
|
Petapa 14.5 -90.5667 Guatemala
|
|||
|
|
Mataro 41.5333 2.45 Spain
|
|||
|
|
Cholula de Rivadabia 19.0633 -98.3064 Mexico
|
|||
|
|
Idanre 7.0922 5.1322 Nigeria
|
|||
|
|
Bamban 15.2742 120.5669 Philippines
|
|||
|
|
Harar 9.3111 42.1278 Ethiopia
|
|||
|
|
Sarhari 26.1 68.4833 Pakistan
|
|||
|
|
Guadalajara de Buga 3.9 -76.3019 Colombia
|
|||
|
|
Dortyol 36.8428 36.2244 Turkey
|
|||
|
|
Ulm 48.4 9.9833 Germany
|
|||
|
|
Braganca -1.0628 -46.7728 Brazil
|
|||
|
|
Mubi 10.2667 13.2667 Nigeria
|
|||
|
|
Guagua 14.97 120.63 Philippines
|
|||
|
|
Lynchburg 37.4003 -79.1909 United States
|
|||
|
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Songnim 38.7542 125.645 Korea
|
|||
|
|
Bat Yam 32.0167 34.75 Israel
|
|||
|
|
Kislovodsk 43.9167 42.7167 Russia
|
|||
|
|
Osaki 38.5771 140.9556 Japan
|
|||
|
|
Santo Tomas 7.53 125.62 Philippines
|
|||
|
|
Vasteras 59.6161 16.5528 Sweden
|
|||
|
|
Puno -15.8433 -70.0236 Peru
|
|||
|
|
Hoshangabad 22.7475 77.7274 India
|
|||
|
|
Tariba 7.8167 -72.2167 Venezuela
|
|||
|
|
Fengcheng 37.4313 112.027 China
|
|||
|
|
Saida 34.8333 0.15 Algeria
|
|||
|
|
Rosario 13.846 121.206 Philippines
|
|||
|
|
Heilbronn 49.15 9.2167 Germany
|
|||
|
|
Chas 23.63 86.17 India
|
|||
|
|
Apatzingan de la Constitucion 19.0886 -102.3508 Mexico
|
|||
|
|
Tuaran 6.1833 116.2333 Malaysia
|
|||
|
|
Rudnyy 52.9667 63.1333 Kazakhstan
|
|||
|
|
Nefteyugansk 61.0833 72.7 Russia
|
|||
|
|
Khanna 30.7 76.22 India
|
|||
|
|
Ahmadpur East 29.1439 71.2592 Pakistan
|
|||
|
|
Wazirabad 32.4353 74.1142 Pakistan
|
|||
|
|
Santa Clara 37.3646 -121.968 United States
|
|||
|
|
Avrankou 6.55 2.6667 Benin
|
|||
|
|
Vihari 30.0419 72.3528 Pakistan
|
|||
|
|
Guasdualito 7.2467 -70.7292 Venezuela
|
|||
|
|
Mosquera 4.7078 -74.2328 Colombia
|
|||
|
|
Dongsheng 22.6228 113.2917 China
|
|||
|
|
Garut -7.2167 107.9 Indonesia
|
|||
|
|
Votorantim -23.5469 -47.4378 Brazil
|
|||
|
|
Buon Ho 12.8544 108.2703 Vietnam
|
|||
|
|
Abaji 8.4756 6.9433 Nigeria
|
|||
|
|
Salmas 38.2028 44.7669 Iran
|
|||
|
|
Domodedovo 55.44 37.7619 Russia
|
|||
|
|
Pforzheim 48.895 8.705 Germany
|
|||
|
|
Edremit 38.4242 43.2561 Turkey
|
|||
|
|
Wurzburg 49.7833 9.9333 Germany
|
|||
|
|
Jazan 16.8892 42.5611 Saudi Arabia
|
|||
|
|
Norman 35.2335 -97.3471 United States
|
|||
|
|
Santa Lucia Cotzumalguapa 14.35 -91.0167 Guatemala
|
|||
|
|
Guimba 15.6606 120.765 Philippines
|
|||
|
|
Greenville 35.5943 -77.376 United States
|
|||
|
|
Simi Valley 34.2663 -118.749 United States
|
|||
|
|
Latina 41.4672 12.9036 Italy
|
|||
|
|
Zhaozhou 37.7527 114.7775 China
|
|||
|
|
Dessalines 19.2833 -72.5 Haiti
|
|||
|
|
San Ignacio -5.1456 -79.0017 Peru
|
|||
|
|
Ciudad Sandino 12.1655 -86.3579 Nicaragua
|
|||
|
|
Allada 6.65 2.15 Benin
|
|||
|
|
Iwakuni 34.1664 132.2189 Japan
|
|||
|
|
Nagda 23.4564 75.4131 India
|
|||
|
|
Bam 29.0994 58.3436 Iran
|
|||
|
|
Opole 50.6667 17.9333 Poland
|
|||
|
|
Kayes 14.45 -11.4333 Mali
|
|||
|
|
Koforidua 6.0833 -0.25 Ghana
|
|||
|
|
Seto 35.2236 137.0842 Japan
|
|||
|
|
Omiyacho 35.2221 138.6216 Japan
|
|||
|
|
Misserete 6.5625 2.5853 Benin
|
|||
|
|
Koganei 35.6995 139.503 Japan
|
|||
|
|
Salerno 40.6806 14.7594 Italy
|
|||
|
|
Torrejon de Ardoz 40.4614 -3.4978 Spain
|
|||
|
|
Saidpur 25.7781 88.8975 Bangladesh
|
|||
|
|
Nahiyat Khan Bani Sa`d 33.57 44.5411 Iraq
|
|||
|
|
Angren 41.0167 70.1436 Uzbekistan
|
|||
|
|
Pakokku 21.332 95.0866 Burma
|
|||
|
|
Leiria 39.75 -8.8 Portugal
|
|||
|
|
Sertaozinho -21.1381 -47.9906 Brazil
|
|||
|
|
Hardoi 27.42 80.12 India
|
|||
|
|
Nemby -25.3935 -57.5443 Paraguay
|
|||
|
|
Neftekamsk 56.1417 54.4667 Russia
|
|||
|
|
Kamez 41.3833 19.7667 Albania
|
|||
|
|
Bataysk 47.1667 39.7333 Russia
|
|||
|
|
Santa Cruz 14.5998 120.9802 Philippines
|
|||
|
|
Unye 41.1272 37.2881 Turkey
|
|||
|
|
Fuyuan 48.3647 134.3079 China
|
|||
|
|
Duitama 5.8333 -73.0167 Colombia
|
|||
|
|
Gurabo al Medio 19.4739 -70.6727 Dominican Republic
|
|||
|
|
Ajax 43.8583 -79.0364 Canada
|
|||
|
|
Barcarena Nova -1.5058 -48.6258 Brazil
|
|||
|
|
Catabola -12.1167 17.3 Angola
|
|||
|
|
Novocheboksarsk 56.1333 47.5 Russia
|
|||
|
|
Ksar El Kebir 35.009 -5.9 Morocco
|
|||
|
|
Orebro 59.2739 15.2075 Sweden
|
|||
|
|
My Drarga 30.38 -9.48 Morocco
|
|||
|
|
Fort Smith 35.3495 -94.3695 United States
|
|||
|
|
Suhum 6.0333 -0.45 Ghana
|
|||
|
|
Jandira -23.5278 -46.9028 Brazil
|
|||
|
|
Abilene 32.4543 -99.7384 United States
|
|||
|
|
San Juan 14.604 121.03 Philippines
|
|||
|
|
Valinhos -22.9706 -46.9958 Brazil
|
|||
|
|
Altamira -3.2028 -52.2058 Brazil
|
|||
|
|
Guntakal 15.17 77.38 India
|
|||
|
|
Mary 37.6 61.8333 Turkmenistan
|
|||
|
|
Iizuka 33.65 130.6833 Japan
|
|||
|
|
Pithampur 22.6197 75.6933 India
|
|||
|
|
Karatepe 40.7333 29.9667 Turkey
|
|||
|
|
Wolfsburg 52.4231 10.7872 Germany
|
|||
|
|
Serpukhov 54.9167 37.4 Russia
|
|||
|
|
Rosetta 31.4044 30.4164 Egypt
|
|||
|
|
Arecibo 18.4491 -66.7387 Puerto Rico
|
|||
|
|
Giresun 40.9153 38.3894 Turkey
|
|||
|
|
Kombolcha 11.0867 39.7367 Ethiopia
|
|||
|
|
San Fernando 16.62 120.32 Philippines
|
|||
|
|
Shchelkovo 55.9167 38 Russia
|
|||
|
|
Payakumbuh -0.2333 100.6333 Indonesia
|
|||
|
|
Patan 23.85 72.125 India
|
|||
|
|
Bonao 18.95 -70.41 Dominican Republic
|
|||
|
|
Barbacena -21.2167 -43.7667 Brazil
|
|||
|
|
Cam Ranh 11.9136 109.1369 Vietnam
|
|||
|
|
Zoetermeer 52.0667 4.5 Netherlands
|
|||
|
|
Basirhat 22.6572 88.8942 India
|
|||
|
|
Resende -22.4689 -44.4469 Brazil
|
|||
|
|
Nzega -4.2169 33.1864 Tanzania
|
|||
|
|
Villa Alemana -33.0422 -71.3733 Chile
|
|||
|
|
Gashua 12.8681 11.0464 Nigeria
|
|||
|
|
Polatli 39.5842 32.1472 Turkey
|
|||
|
|
Lewisville 33.0454 -96.9815 United States
|
|||
|
|
Larache 35.1833 -6.15 Morocco
|
|||
|
|
Kristiansand 58.1472 7.9972 Norway
|
|||
|
|
Az Zulfi 26.2833 44.8 Saudi Arabia
|
|||
|
|
Jilib 0.4942 42.7744 Somalia
|
|||
|
|
Cerro 23.0881 -82.395 Cuba
|
|||
|
|
Halisahar 22.9469 88.4184 India
|
|||
|
|
Magelang -7.4667 110.2167 Indonesia
|
|||
|
|
Jagadhri 30.168 77.301 India
|
|||
|
|
Tychy 50.1236 18.9867 Poland
|
|||
|
|
Salto -31.3833 -57.95 Uruguay
|
|||
|
|
Juticalpa 14.6664 -86.2186 Honduras
|
|||
|
|
Novomoskovsk 54.0833 38.2167 Russia
|
|||
|
|
Jizhou 37.5455 115.5663 China
|
|||
|
|
Leuwiliang -6.5742 106.632 Indonesia
|
|||
|
|
Koidu 8.6439 -10.9717 Sierra Leone
|
|||
|
|
Guarapari -20.65 -40.5 Brazil
|
|||
|
|
Pinsk 52.1153 26.1031 Belarus
|
|||
|
|
Sunam 30.13 75.8 India
|
|||
|
|
Ouahigouya 13.5833 -2.4167 Burkina Faso
|
|||
|
|
Rishra 22.71 88.35 India
|
|||
|
|
Grand-Bassam 5.2 -3.7333 Côte d’Ivoire
|
|||
|
|
Jharsugra 21.85 84.03 India
|
|||
|
|
Leeuwarden 53.2 5.7833 Netherlands
|
|||
|
|
Pearland 29.5581 -95.3218 United States
|
|||
|
|
Ben Tre 10.2333 106.3833 Vietnam
|
|||
|
|
Lehigh Acres 26.612 -81.6388 United States
|
|||
|
|
Glazoue 7.9736 2.24 Benin
|
|||
|
|
Panevezys 55.7333 24.35 Lithuania
|
|||
|
|
Chinautla 14.7 -90.5 Guatemala
|
|||
|
|
New Mirpur 33.15 73.7333 Pakistan
|
|||
|
|
Serik 36.9167 31.1 Turkey
|
|||
|
|
Chia 4.85 -74.05 Colombia
|
|||
|
|
Kenosha 42.5865 -87.8773 United States
|
|||
|
|
Noksan 36.2039 127.0847 Korea
|
|||
|
|
Bajos de Haina 18.4167 -70.0333 Dominican Republic
|
|||
|
|
Magalang 15.22 120.67 Philippines
|
|||
|
|
Exeter 50.7256 -3.5269 United Kingdom
|
|||
|
|
Bimbo 4.2558 18.4042 Central African Republic
|
|||
|
|
Pali 23.35 81.05 India
|
|||
|
|
Leiden 52.16 4.49 Netherlands
|
|||
|
|
Kadirli 37.3697 36.1 Turkey
|
|||
|
|
Fugu 39.0259 111.0683 China
|
|||
|
|
Savannakhet 16.55 104.75 Laos
|
|||
|
|
Khrustalnyi 48.1214 38.9453 Ukraine
|
|||
|
|
Kaspiysk 42.8803 47.6383 Russia
|
|||
|
|
Magangue 9.25 -74.7667 Colombia
|
|||
|
|
Cambridge 52.2053 0.1192 United Kingdom
|
|||
|
|
Kirishima 31.7406 130.7631 Japan
|
|||
|
|
Cai Lay 10.417 106.083 Vietnam
|
|||
|
|
Maicao 11.3778 -72.2389 Colombia
|
|||
|
|
Pobe 6.9667 2.6833 Benin
|
|||
|
|
Derbent 42.05 48.3 Russia
|
|||
|
|
Giugliano in Campania 40.9333 14.2 Italy
|
|||
|
|
Pervouralsk 56.9167 59.9333 Russia
|
|||
|
|
Algeciras 36.1275 -5.4539 Spain
|
|||
|
|
Paleng -1.4 123.1667 Indonesia
|
|||
|
|
Santa Cruz 14.28 121.42 Philippines
|
|||
|
|
Akcaabat 41.0167 39.55 Turkey
|
|||
|
|
Djidja 7.3333 1.9333 Benin
|
|||
|
|
Duma 33.5711 36.4011 Syria
|
|||
|
|
Longtian 24.3512 114.1293 China
|
|||
|
|
Seaside 36.6224 -121.8199 United States
|
|||
|
|
Punta Arenas -53.1667 -70.9333 Chile
|
|||
|
|
Itaituba -4.2758 -55.9839 Brazil
|
|||
|
|
Burlington 44.4876 -73.2316 United States
|
|||
|
|
Tres Lagoas -20.7511 -51.6783 Brazil
|
|||
|
|
Nandgaon 20.307 74.657 India
|
|||
|
|
Orizaba 18.85 -97.1 Mexico
|
|||
|
|
Bento Goncalves -29.1708 -51.5189 Brazil
|
|||
|
|
Honmachi 32.5 130.6 Japan
|
|||
|
|
Baraki 36.6667 3.1 Algeria
|
|||
|
|
Arvada 39.832 -105.151 United States
|
|||
|
|
Alwal 17.5047 78.5038 India
|
|||
|
|
Gapan 15.3122 120.9489 Philippines
|
|||
|
|
Kaya 13.0833 -1.0833 Burkina Faso
|
|||
|
|
Ed Damer 17.59 33.96 Sudan
|
|||
|
|
Apartado 7.8833 -76.6333 Colombia
|
|||
|
|
Tumen 42.9667 129.85 China
|
|||
|
|
Thanh Pho Uong Bi 21.0356 106.7644 Vietnam
|
|||
|
|
Jima 7.6667 36.8333 Ethiopia
|
|||
|
|
Genhe 50.7833 121.5167 China
|
|||
|
|
Navojoa 27.0813 -109.4461 Mexico
|
|||
|
|
Porlamar 10.95 -63.85 Venezuela
|
|||
|
|
Anderlecht 50.8333 4.3333 Belgium
|
|||
|
|
Metz 49.1203 6.1778 France
|
|||
|
|
Winterveld -25.42 27.949 South Africa
|
|||
|
|
Renala Khurd 30.8833 73.6 Pakistan
|
|||
|
|
Chilapa de Alvarez 17.5944 -99.1778 Mexico
|
|||
|
|
Coatepeque 14.7 -91.8667 Guatemala
|
|||
|
|
Bagaha 27.0992 84.09 India
|
|||
|
|
Gudiyattam 12.9476 78.87 India
|
|||
|
|
Mahuva 21.0833 71.8 India
|
|||
|
|
Catchiungo -12.5667 16.2333 Angola
|
|||
|
|
Fier 40.725 19.5572 Albania
|
|||
|
|
Clovis 36.8278 -119.683 United States
|
|||
|
|
Kotamobagu 0.7333 124.3167 Indonesia
|
|||
|
|
Gurdaspur 32.0333 75.4 India
|
|||
|
|
Ky Anh 18.0678 106.2967 Vietnam
|
|||
|
|
Kot Addu 30.4664 70.9656 Pakistan
|
|||
|
|
Round Rock 30.527 -97.6642 United States
|
|||
|
|
Barcelos 41.5167 -8.6167 Portugal
|
|||
|
|
Pueblo 38.2701 -104.6114 United States
|
|||
|
|
Ramos Mejia -34.65 -58.5667 Argentina
|
|||
|
|
High Wycombe 51.6287 -0.7482 United Kingdom
|
|||
|
|
Gemlik 40.4317 29.1561 Turkey
|
|||
|
|
Temple 31.1068 -97.3891 United States
|
|||
|
|
Soke 37.7508 27.4103 Turkey
|
|||
|
|
Khurda 20.18 85.62 India
|
|||
|
|
Delgado 13.7167 -89.1667 El Salvador
|
|||
|
|
Poblacion 14.3854 121.029 Philippines
|
|||
|
|
Kandy 7.2964 80.635 Sri Lanka
|
|||
|
|
Ban Bang Pu Mai 13.5441 100.6175 Thailand
|
|||
|
|
Gateshead 54.9556 -1.6 United Kingdom
|
|||
|
|
Guelma 36.45 7.4333 Algeria
|
|||
|
|
Unwana 5.8625 7.9486 Nigeria
|
|||
|
|
Ar Rustaq 23.3908 57.4244 Oman
|
|||
|
|
San Carlos 9.65 -68.5833 Venezuela
|
|||
|
|
Baraka -4.1041 29.094 Congo (Kinshasa)
|
|||
|
|
Ghardaia 32.4833 3.6667 Algeria
|
|||
|
|
Nokha 27.6 73.42 India
|
|||
|
|
Jandrapeta 15.8246 80.3521 India
|
|||
|
|
Hengken 24.346 93.7 India
|
|||
|
|
Dong Hoa 12.9931 109.3314 Vietnam
|
|||
|
|
Gorzow Wielkopolski 52.7333 15.25 Poland
|
|||
|
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Terrebonne 45.7 -73.6333 Canada
|
|||
|
|
Lalo 6.9167 1.8833 Benin
|
|||
|
|
Pelabuhanratu -6.9878 106.5439 Indonesia
|
|||
|
|
Yelahanka 13.1007 77.5963 India
|
|||
|
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Meridian 43.6116 -116.3977 United States
|
|||
|
|
Malindi -3.2236 40.13 Kenya
|
|||
|
|
Almirante Tamandare -25.325 -49.31 Brazil
|
|||
|
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Ebetsu 43.1 141.5333 Japan
|
|||
|
|
Boulogne-Billancourt 48.8352 2.2409 France
|
|||
|
|
Moncton 46.1328 -64.7714 Canada
|
|||
|
|
Yuksekova 37.569 44.283 Turkey
|
|||
|
|
Palma Soriano 20.2139 -75.9919 Cuba
|
|||
|
|
An 19.7833 94.0333 Burma
|
|||
|
|
Jiangna 23.6128 104.3433 China
|
|||
|
|
Perpignan 42.6986 2.8956 France
|
|||
|
|
Pleven 43.4078 24.6203 Bulgaria
|
|||
|
|
Fulgazi 23.1333 91.4333 Bangladesh
|
|||
|
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Bergamo 45.695 9.67 Italy
|
|||
|
|
Shuixi 22.509 113.3213 China
|
|||
|
|
Sanxi 22.5111 113.3161 China
|
|||
|
|
Nazarabad 35.9583 50.605 Iran
|
|||
|
|
Candaba 15.0933 120.8283 Philippines
|
|||
|
|
Parow -33.9 18.6 South Africa
|
|||
|
|
Tizayuca 19.8333 -98.9833 Mexico
|
|||
|
|
Mohammad Shahr 35.7483 50.9025 Iran
|
|||
|
|
Silifke 36.3761 33.9322 Turkey
|
|||
|
|
Port Dickson 2.5167 101.8 Malaysia
|
|||
|
|
Besancon 47.24 6.02 France
|
|||
|
|
Debre Tabor 11.85 38.0167 Ethiopia
|
|||
|
|
Arapongas -23.4189 -51.4239 Brazil
|
|||
|
|
Guaratingueta -22.8167 -45.2278 Brazil
|
|||
|
|
Slough 51.5084 -0.5881 United Kingdom
|
|||
|
|
Aw Dheegle 1.9667 44.8333 Somalia
|
|||
|
|
Tuz Khurmatu 34.8772 44.6383 Iraq
|
|||
|
|
Birigui -21.2886 -50.34 Brazil
|
|||
|
|
Totonicapan 14.9108 -91.3606 Guatemala
|
|||
|
|
Gottingen 51.5339 9.9356 Germany
|
|||
|
|
Huaraz -9.5333 -77.5333 Peru
|
|||
|
|
Daitocho 34.7167 135.6167 Japan
|
|||
|
|
Darjeeling 27.0375 88.2631 India
|
|||
|
|
Piraquara -25.4419 -49.0628 Brazil
|
|||
|
|
Bet Shemesh 31.7456 34.9867 Israel
|
|||
|
|
Bismil 37.8467 40.6661 Turkey
|
|||
|
|
Vihiga 0.05 34.725 Kenya
|
|||
|
|
Pescara 42.4639 14.2142 Italy
|
|||
|
|
Miramar 22.3375 -97.8694 Mexico
|
|||
|
|
Sopur 34.3 74.47 India
|
|||
|
|
Nowshera 34.0153 71.9747 Pakistan
|
|||
|
|
Duluth 46.7756 -92.1393 United States
|
|||
|
|
Bandar-e Anzali 37.4708 49.47 Iran
|
|||
|
|
Bruges 51.2089 3.2242 Belgium
|
|||
|
|
Yongqing 39.2958 116.4897 China
|
|||
|
|
Calumpit 14.92 120.77 Philippines
|
|||
|
|
Bwana Mkubwa -12.9833 28.7 Zambia
|
|||
|
|
Butwal 27.7 83.466 Nepal
|
|||
|
|
Senador Canedo -16.7594 -49.0864 Brazil
|
|||
|
|
The Woodlands 30.1738 -95.5134 United States
|
|||
|
|
Chikmagalur 13.313 75.737 India
|
|||
|
|
Matamoros 25.533 -103.25 Mexico
|
|||
|
|
Kadoma 34.7333 135.5833 Japan
|
|||
|
|
Guelmim 28.9833 -10.0667 Morocco
|
|||
|
|
Orekhovo-Zuyevo 55.8 38.9667 Russia
|
|||
|
|
Yangliuqing 39.13 117.0142 China
|
|||
|
|
Xuqiaocun 30.4355 120.3645 China
|
|||
|
|
Soasio 0.6833 127.4 Indonesia
|
|||
|
|
Kampong Cham 11.987 105.462 Cambodia
|
|||
|
|
Dinalupihan 14.88 120.47 Philippines
|
|||
|
|
Malita 6.4108 125.6144 Philippines
|
|||
|
|
Nigde 37.9667 34.6792 Turkey
|
|||
|
|
Gudivada 16.43 80.99 India
|
|||
|
|
Bama 11.5189 13.6842 Nigeria
|
|||
|
|
Lahti 60.9833 25.65 Finland
|
|||
|
|
Bottrop 51.5247 6.9228 Germany
|
|||
|
|
Quyang 26.5755 109.7008 China
|
|||
|
|
Ilobu 7.84 4.486 Nigeria
|
|||
|
|
Ligao 13.22 123.52 Philippines
|
|||
|
|
Boulder 40.0248 -105.2524 United States
|
|||
|
|
Richardson 32.9716 -96.7093 United States
|
|||
|
|
Trento 46.0667 11.1167 Italy
|
|||
|
|
Nouadhibou 20.9333 -17.0333 Mauritania
|
|||
|
|
Dongsheng 22.6199 113.2895 China
|
|||
|
|
Blackburn 53.748 -2.482 United Kingdom
|
|||
|
|
Cambridge 42.3759 -71.1185 United States
|
|||
|
|
Phagwara 31.22 75.77 India
|
|||
|
|
Bage -31.3308 -54.1069 Brazil
|
|||
|
|
Nazran 43.2167 44.7667 Russia
|
|||
|
|
Aizuwakamatsu 37.4948 139.9298 Japan
|
|||
|
|
Lodhran 29.5333 71.6333 Pakistan
|
|||
|
|
Tahoua 14.8903 5.2642 Niger
|
|||
|
|
Matsubara 34.5833 135.55 Japan
|
|||
|
|
Araguari -18.6489 -48.1869 Brazil
|
|||
|
|
Gogounou 10.8386 2.8361 Benin
|
|||
|
|
Agadez 16.9959 7.9828 Niger
|
|||
|
|
Pudukkottai 10.3833 78.8001 India
|
|||
|
|
Saanich 48.484 -123.381 Canada
|
|||
|
|
Nobeoka 32.5822 131.665 Japan
|
|||
|
|
Charallave 10.2431 -66.8622 Venezuela
|
|||
|
|
Uribia 11.9167 -72 Colombia
|
|||
|
|
West Palm Beach 26.7469 -80.132 United States
|
|||
|
|
Luanshya -13.1333 28.4 Zambia
|
|||
|
|
Banyuwangi -8.2186 114.3669 Indonesia
|
|||
|
|
Reutlingen 48.4833 9.2167 Germany
|
|||
|
|
Handa 34.8919 136.9381 Japan
|
|||
|
|
Kabwe -14.4333 28.45 Zambia
|
|||
|
|
La Asuncion 11.0333 -63.8628 Venezuela
|
|||
|
|
Salman Bak 33.1 44.5833 Iraq
|
|||
|
|
Catacamas 14.8 -85.9 Honduras
|
|||
|
|
Tangjin 36.8931 126.6281 Korea
|
|||
|
|
Midsayap 7.19 124.53 Philippines
|
|||
|
|
Port Arthur 29.8554 -93.9264 United States
|
|||
|
|
Heroica Guaymas 27.9183 -110.8989 Mexico
|
|||
|
|
Munuf 30.4658 30.9308 Egypt
|
|||
|
|
East Los Angeles 34.0326 -118.1691 United States
|
|||
|
|
Uruguaiana -29.755 -57.0878 Brazil
|
|||
|
|
Banfora 10.6308 -4.7589 Burkina Faso
|
|||
|
|
Harshin 9.2167 43.5878 Ethiopia
|
|||
|
|
Adilabad 19.6667 78.5333 India
|
|||
|
|
Redding 40.5698 -122.365 United States
|
|||
|
|
Apalit 14.9496 120.7587 Philippines
|
|||
|
|
Yulu 23.5193 116.4055 China
|
|||
|
|
Umuarama -23.7658 -53.325 Brazil
|
|||
|
|
Alcobendas 40.5333 -3.6333 Spain
|
|||
|
|
Cassongue -11.8333 15 Angola
|
|||
|
|
Clearwater 27.979 -82.7623 United States
|
|||
|
|
Faqus 30.7282 31.797 Egypt
|
|||
|
|
Dabrowa Gornicza 50.3214 19.1872 Poland
|
|||
|
|
Monroe 32.5185 -92.0774 United States
|
|||
|
|
Kapakli 41.3333 27.9667 Turkey
|
|||
|
|
Baripada 21.94 86.72 India
|
|||
|
|
Soreang -7.0372 107.5167 Indonesia
|
|||
|
|
Konosu 36.0659 139.5222 Japan
|
|||
|
|
Samal 7.05 125.73 Philippines
|
|||
|
|
Datu Odin Sinsuat 7.1889 124.1839 Philippines
|
|||
|
|
Utica 43.0962 -75.2261 United States
|
|||
|
|
Manpo 41.157 126.29 Korea
|
|||
|
|
Nevinnomyssk 44.6333 41.9333 Russia
|
|||
|
|
Tatui -23.3556 -47.8569 Brazil
|
|||
|
|
St. Cloud 45.534 -94.1718 United States
|
|||
|
|
Mandeville 30.3751 -90.0904 United States
|
|||
|
|
Chimaltenango 14.6622 -90.8208 Guatemala
|
|||
|
|
Orleans 47.9025 1.909 France
|
|||
|
|
La Granja -33.5333 -70.625 Chile
|
|||
|
|
Erlangen 49.5833 11.0167 Germany
|
|||
|
|
Yavatmal 20.24 78.06 India
|
|||
|
|
Titagarh 22.74 88.37 India
|
|||
|
|
Ikoma 34.7 135.7 Japan
|
|||
|
|
Lira 2.2472 32.9 Uganda
|
|||
|
|
Honcho 35.758 139.5299 Japan
|
|||
|
|
Barnala 30.37 75.54 India
|
|||
|
|
Cheltenham 51.9 -2.0667 United Kingdom
|
|||
|
|
Forli 44.2333 12.05 Italy
|
|||
|
|
Chittaurgarh 24.88 74.63 India
|
|||
|
|
West Jordan 40.6024 -112.0008 United States
|
|||
|
|
Xai-Xai -25.05 33.65 Mozambique
|
|||
|
|
Gabes 33.8833 10.1167 Tunisia
|
|||
|
|
Tecoman 18.9089 -103.8747 Mexico
|
|||
|
|
Boke 10.94 -14.3 Guinea
|
|||
|
|
Coronel -37.0167 -73.2167 Chile
|
|||
|
|
Narasaraopet 16.236 80.0498 India
|
|||
|
|
Siracusa 37.0692 15.2875 Italy
|
|||
|
|
Himamaylan 10.1 122.87 Philippines
|
|||
|
|
Ocana 8.2333 -73.35 Colombia
|
|||
|
|
Ballarat -37.5608 143.8475 Australia
|
|||
|
|
Adigrat 14.2667 39.45 Ethiopia
|
|||
|
|
Dharan 26.8167 87.2833 Nepal
|
|||
|
|
Smithtown 40.8663 -73.2164 United States
|
|||
|
|
Fatsa 41.0306 37.5 Turkey
|
|||
|
|
Temixco 18.85 -99.2333 Mexico
|
|||
|
|
Bongao 5.0292 119.7731 Philippines
|
|||
|
|
Ramenskoye 55.5667 38.2167 Russia
|
|||
|
|
Ain Beida 35.7833 7.3833 Algeria
|
|||
|
|
Dimitrovgrad 54.1833 49.5833 Russia
|
|||
|
|
Karatsu 33.45 129.9667 Japan
|
|||
|
|
Nagahama 35.3833 136.2833 Japan
|
|||
|
|
Targu-Mures 46.5456 24.5625 Romania
|
|||
|
|
Sogamoso 5.7167 -72.9208 Colombia
|
|||
|
|
San Tung Chung Hang 22.2869 113.9436 Hong Kong
|
|||
|
|
Kyzyl 51.7167 94.45 Russia
|
|||
|
|
Beppu 33.2847 131.4914 Japan
|
|||
|
|
Adjaouere 7 2.6167 Benin
|
|||
|
|
Turbaco 10.35 -75.3333 Colombia
|
|||
|
|
Niihama 33.9667 133.2833 Japan
|
|||
|
|
Al Mansurah 12.8531 44.9722 Yemen
|
|||
|
|
Brandon 27.9367 -82.3 United States
|
|||
|
|
Amasya 40.65 35.8331 Turkey
|
|||
|
|
Ponce 18.0127 -66.6212 Puerto Rico
|
|||
|
|
Rawajaya -7.58 108.8828 Indonesia
|
|||
|
|
Rawasari -7.5733 108.8833 Indonesia
|
|||
|
|
Sano 36.3145 139.5783 Japan
|
|||
|
|
Dam Dam 22.62 88.42 India
|
|||
|
|
Las Delicias 28.2 -105.5 Mexico
|
|||
|
|
Carlsbad 33.1246 -117.2834 United States
|
|||
|
|
Lowell 42.6389 -71.3217 United States
|
|||
|
|
Qiaotou 36.935 101.6736 China
|
|||
|
|
Hatsukaichi 34.3483 132.3317 Japan
|
|||
|
|
Bijeljina 44.7569 19.2161 Bosnia and Herzegovina
|
|||
|
|
Maghnia 34.8617 -1.7306 Algeria
|
|||
|
|
Plock 52.55 19.7 Poland
|
|||
|
|
Shacheng 40.4039 115.5189 China
|
|||
|
|
Zhijiang 27.4367 109.678 China
|
|||
|
|
Kuningan -6.9764 108.4844 Indonesia
|
|||
|
|
Helsingborg 56.05 12.7167 Sweden
|
|||
|
|
Quilengues -14.0814 14.0931 Angola
|
|||
|
|
Tawau 4.2583 117.8944 Malaysia
|
|||
|
|
Poa -23.5286 -46.345 Brazil
|
|||
|
|
Sakiet ed Daier 34.8 10.78 Tunisia
|
|||
|
|
Iranshahr 27.1978 60.6836 Iran
|
|||
|
|
Ifanhim 6.6667 2.7167 Benin
|
|||
|
|
Euriapolis -16.3778 -39.58 Brazil
|
|||
|
|
Ndali 9.8608 2.7181 Benin
|
|||
|
|
Gresham 45.5021 -122.4413 United States
|
|||
|
|
Pul-e Khumri 35.95 68.7 Afghanistan
|
|||
|
|
Fujimino 35.8795 139.5198 Japan
|
|||
|
|
Comitan 16.25 -92.1333 Mexico
|
|||
|
|
League City 29.4874 -95.1087 United States
|
|||
|
|
Mungo -11.6667 16.1667 Angola
|
|||
|
|
Guiguinto 14.83 120.88 Philippines
|
|||
|
|
Midyat 37.4167 41.3697 Turkey
|
|||
|
|
Itabira -19.6189 -43.2269 Brazil
|
|||
|
|
Dhamtari 20.71 81.55 India
|
|||
|
|
Raneswar 24.0311 87.4197 India
|
|||
|
|
Chishtian 29.8 72.8333 Pakistan
|
|||
|
|
Longmont 40.1686 -105.1005 United States
|
|||
|
|
`Ibri 23.2325 56.4973 Oman
|
|||
|
|
Vacaville 38.3587 -121.9673 United States
|
|||
|
|
Nantou 23.9167 120.6833 Taiwan
|
|||
|
|
Onojo 33.5333 130.4833 Japan
|
|||
|
|
Brajarajnagar 21.8167 83.9167 India
|
|||
|
|
Eastbourne 50.77 0.28 United Kingdom
|
|||
|
|
Sujangarh 27.7 74.47 India
|
|||
|
|
Highlands Ranch 39.5419 -104.9708 United States
|
|||
|
|
Ciudad Rio Bravo 25.9861 -98.0889 Mexico
|
|||
|
|
Bhadreswar 22.82 88.35 India
|
|||
|
|
Pavlohrad 48.5167 35.8667 Ukraine
|
|||
|
|
Clarington 43.935 -78.6083 Canada
|
|||
|
|
Hengnan 22.5348 113.2491 China
|
|||
|
|
Assis -22.6619 -50.4119 Brazil
|
|||
|
|
Klagenfurt 46.6167 14.3 Austria
|
|||
|
|
Chilakalurupet 16.0892 80.1672 India
|
|||
|
|
San Luis de la Paz 21.2986 -100.5164 Mexico
|
|||
|
|
Hanau 50.1328 8.9169 Germany
|
|||
|
|
Hikkaduwa 6.1472 80.1103 Sri Lanka
|
|||
|
|
Sungai Penuh -2.0589 101.3914 Indonesia
|
|||
|
|
Kingsport 36.5224 -82.5454 United States
|
|||
|
|
Chaguanas 10.5167 -61.4 Trinidad and Tobago
|
|||
|
|
Jingping 39.5189 112.2837 China
|
|||
|
|
Novara 45.45 8.62 Italy
|
|||
|
|
Kousseri 12.0833 15.0333 Cameroon
|
|||
|
|
Ain Oussera 35.4489 2.9044 Algeria
|
|||
|
|
Deventer 52.25 6.15 Netherlands
|
|||
|
|
San Vicente de Baracaldo 43.2972 -2.9917 Spain
|
|||
|
|
Kaiserslautern 49.4447 7.7689 Germany
|
|||
|
|
KwaDukuza -29.3333 31.2917 South Africa
|
|||
|
|
San Tan Valley 33.1786 -111.5629 United States
|
|||
|
|
Nga Bay 9.8164 105.8197 Vietnam
|
|||
|
|
Hong Ngu 10.833 105.283 Vietnam
|
|||
|
|
Jeypore 18.8563 82.5716 India
|
|||
|
|
Zomba -15.3869 35.3192 Malawi
|
|||
|
|
Daoukro 7.05 -3.9667 Côte d’Ivoire
|
|||
|
|
Santa Cruz 6.83 125.42 Philippines
|
|||
|
|
Itaperuna -21.205 -41.8878 Brazil
|
|||
|
|
Oran 35.6969 -0.6331 Algeria
|
|||
|
|
Mporokoso -9.3833 30.1 Zambia
|
|||
|
|
Quincy 42.2506 -71.0187 United States
|
|||
|
|
Edinburg 26.3196 -98.1597 United States
|
|||
|
|
Karanja 20.4833 77.4833 India
|
|||
|
|
Aboisso 5.4667 -3.2 Côte d’Ivoire
|
|||
|
|
Salavan 15.7167 106.4167 Laos
|
|||
|
|
Xirdalan 40.4486 49.7564 Azerbaijan
|
|||
|
|
Saint-Jerome 45.7833 -74 Canada
|
|||
|
|
Red Deer 52.2681 -113.8111 Canada
|
|||
|
|
Sakado 35.9573 139.403 Japan
|
|||
|
|
Bim Son 20.0781 105.8603 Vietnam
|
|||
|
|
Kefar Sava 32.1714 34.9083 Israel
|
|||
|
|
Chanwari 23.1917 82.3542 India
|
|||
|
|
Xinhua 23.6243 105.6229 China
|
|||
|
|
Sungailiat -1.8561 106.1192 Indonesia
|
|||
|
|
Sittwe 20.167 92.785 Burma
|
|||
|
|
Zheleznogorsk 52.3333 35.3667 Russia
|
|||
|
|
Concepcion del Uruguay -32.4833 -58.2333 Argentina
|
|||
|
|
Leer 8.2979 30.1475 South Sudan
|
|||
|
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Cavite City 14.48 120.9 Philippines
|
|||
|
|
Playas de Rosarito 32.3422 -117.0561 Mexico
|
|||
|
|
Lynn 42.4781 -70.9664 United States
|
|||
|
|
Ahar 38.4797 47.0669 Iran
|
|||
|
|
Yen Bai 21.7 104.8667 Vietnam
|
|||
|
|
Weifen 38.4633 111.1203 China
|
|||
|
|
Sur 37.9106 40.2358 Turkey
|
|||
|
|
Port Blair 11.6683 92.7378 India
|
|||
|
|
Nahiyat al Iskandariyah 32.9 44.35 Iraq
|
|||
|
|
Kalyani 22.975 88.4344 India
|
|||
|
|
Masjed Soleyman 31.96 49.2881 Iran
|
|||
|
|
Calasiao 16.02 120.37 Philippines
|
|||
|
|
Datia 25.67 78.47 India
|
|||
|
|
Kamianets-Podilskyi 48.6833 26.5833 Ukraine
|
|||
|
|
Itaugua -25.3833 -57.3333 Paraguay
|
|||
|
|
Torbat-e Jam 35.2431 60.625 Iran
|
|||
|
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Diourbel 14.655 -16.2314 Senegal
|
|||
|
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Madhavaram 13.1482 80.2314 India
|
|||
|
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Kawachinagano 34.4667 135.5667 Japan
|
|||
|
|
Libertad -34.6833 -58.6833 Argentina
|
|||
|
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Shahrisabz 39.05 66.8333 Uzbekistan
|
|||
|
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Gangtok 27.33 88.62 India
|
|||
|
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Vaciamadrid 40.3394 -3.5181 Spain
|
|||
|
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Bocono 9.2461 -70.2617 Venezuela
|
|||
|
|
San Felipe del Progreso 19.7125 -99.9511 Mexico
|
|||
|
|
Chust 40.9978 71.2403 Uzbekistan
|
|||
|
|
Lamitan 6.65 122.13 Philippines
|
|||
|
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Talipao 5.976 121.1087 Philippines
|
|||
|
|
San Angelo 31.4424 -100.4504 United States
|
|||
|
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Sabanalarga 6.85 -75.8167 Colombia
|
|||
|
|
Gwelej 14.75 36.7167 Eritrea
|
|||
|
|
Babile 9.2167 42.3333 Ethiopia
|
|||
|
|
Dzolokpuita 6.7862 0.4437 Ghana
|
|||
|
|
Suramala 13.76 79.7 India
|
|||
|
|
Navalyal 16.48 74.78 India
|
|||
|
|
Barod 27.8947 76.3681 India
|
|||
|
|
Vasco Da Gama 15.3981 73.8111 India
|
|||
|
|
Khambhaliya 22.2 69.65 India
|
|||
|
|
Abbigeri 13.0767 77.525 India
|
|||
|
|
Kundli 28.99 77.022 India
|
|||
|
|
Ad Dujayl 33.8389 44.2481 Iraq
|
|||
|
|
Mumias 0.3333 34.4833 Kenya
|
|||
|
|
Luckeesarai 25.1678 86.0944 India
|
|||
|
|
Songea -10.6833 35.65 Tanzania
|
|||
|
|
Pouytenga 12.25 -0.4333 Burkina Faso
|
|||
|
|
Solola 14.7667 -91.1833 Guatemala
|
|||
|
|
Mabai 23.0151 104.396 China
|
|||
|
|
Debre Zeyit 8.75 38.9833 Ethiopia
|
|||
|
|
Dunedin -45.8742 170.5036 New Zealand
|
|||
|
|
Hesperia 34.3975 -117.3147 United States
|
|||
|
|
Nabire -3.3682 135.4964 Indonesia
|
|||
|
|
Sundsvall 62.4 17.3167 Sweden
|
|||
|
|
Kadaiyanallur 9.0743 77.3419 India
|
|||
|
|
Sayaxche 16.5167 -90.1833 Guatemala
|
|||
|
|
Ciamis -7.3281 108.3336 Indonesia
|
|||
|
|
Putatan 14.3984 121.0364 Philippines
|
|||
|
|
Xiongzhou 38.9786 116.073 China
|
|||
|
|
Urgut Shahri 39.419 67.2612 Uzbekistan
|
|||
|
|
Fengning 41.2013 116.6433 China
|
|||
|
|
Bowling Green 36.9716 -86.4378 United States
|
|||
|
|
Shahdadpur 25.9228 68.6206 Pakistan
|
|||
|
|
Federal Way 47.3091 -122.3358 United States
|
|||
|
|
Talara -4.5799 -81.2719 Peru
|
|||
|
|
Menglang 22.5586 99.9336 China
|
|||
|
|
Kani 35.4261 137.0613 Japan
|
|||
|
|
Cottbus 51.7606 14.3342 Germany
|
|||
|
|
Tinsukia 27.5 95.367 India
|
|||
|
|
Santa Cruz del Quiche 15.03 -91.15 Guatemala
|
|||
|
|
Hualien 23.9722 121.6064 Taiwan
|
|||
|
|
Carmel 39.965 -86.146 United States
|
|||
|
|
Bismarck 46.8143 -100.7694 United States
|
|||
|
|
Campo Mourao -24.0458 -52.3828 Brazil
|
|||
|
|
Alaminos 16.1553 119.9808 Philippines
|
|||
|
|
Xiegang 22.9616 114.1487 China
|
|||
|
|
Tellicherry 11.7481 75.4929 India
|
|||
|
|
Jinotega 13.0884 -85.9994 Nicaragua
|
|||
|
|
Itarsi 22.6115 77.7623 India
|
|||
|
|
Izumisano 34.4 135.3333 Japan
|
|||
|
|
Thika -1.0396 37.09 Kenya
|
|||
|
|
Bislig 8.2133 126.3161 Philippines
|
|||
|
|
Abhar 36.1511 49.2244 Iran
|
|||
|
|
Viseu 40.6667 -7.9167 Portugal
|
|||
|
|
Malate 14.5642 120.9913 Philippines
|
|||
|
|
Ginowan 26.2817 127.7783 Japan
|
|||
|
|
Wakefield 53.6825 -1.4975 United Kingdom
|
|||
|
|
Sakata 38.9145 139.8364 Japan
|
|||
|
|
Khamis Mushayt 18.3 42.7333 Saudi Arabia
|
|||
|
|
Pili 13.5542 123.2753 Philippines
|
|||
|
|
Pickering 43.8354 -79.089 Canada
|
|||
|
|
Hasilpur 29.6917 72.5453 Pakistan
|
|||
|
|
Trincomalee 8.5667 81.2333 Sri Lanka
|
|||
|
|
Riberalta -11.0128 -66.0572 Bolivia
|
|||
|
|
Moron -34.65 -58.6167 Argentina
|
|||
|
|
Fishers 39.9588 -85.9659 United States
|
|||
|
|
Kohima 25.67 94.1 India
|
|||
|
|
Sisophon 13.5833 102.9833 Cambodia
|
|||
|
|
Tourcoing 50.7239 3.1612 France
|
|||
|
|
Vereeniging -26.6736 27.9319 South Africa
|
|||
|
|
Mianeh 37.4239 47.7197 Iran
|
|||
|
|
Heshan 23.8 108.8833 China
|
|||
|
|
Paoy Paet 13.65 102.5667 Cambodia
|
|||
|
|
Weldiya 11.8306 39.6 Ethiopia
|
|||
|
|
Nyeri -0.4167 36.95 Kenya
|
|||
|
|
Roubaix 50.6901 3.1817 France
|
|||
|
|
Lafayette 39.9946 -105.0998 United States
|
|||
|
|
Tobolsk 58.2 68.2667 Russia
|
|||
|
|
Burzaco -34.8167 -58.3667 Argentina
|
|||
|
|
Espejo -33.5167 -70.6917 Chile
|
|||
|
|
Kontagora 10.403 5.473 Nigeria
|
|||
|
|
Senahu 15.4164 -89.8203 Guatemala
|
|||
|
|
Khambhat 22.3 72.62 India
|
|||
|
|
Santiago de Compostela 42.8778 -8.5444 Spain
|
|||
|
|
Ixmiquilpan 20.4819 -99.2181 Mexico
|
|||
|
|
Caldas Novas -17.745 -48.625 Brazil
|
|||
|
|
Schwerin 53.6333 11.4167 Germany
|
|||
|
|
Salihorsk 52.8 27.5333 Belarus
|
|||
|
|
Reyhanli 36.2681 36.5675 Turkey
|
|||
|
|
Itoshima 33.5539 130.1978 Japan
|
|||
|
|
Zarate -34.0833 -59.0333 Argentina
|
|||
|
|
Oton 10.6931 122.4736 Philippines
|
|||
|
|
Manacapuru -3.2997 -60.6206 Brazil
|
|||
|
|
Sopron 47.6849 16.5831 Hungary
|
|||
|
|
Koytendag 37.5 66 Turkmenistan
|
|||
|
|
Abreu e Lima -7.9117 -34.9028 Brazil
|
|||
|
|
Lorca 37.6798 -1.6944 Spain
|
|||
|
|
Chipata -13.6453 32.6464 Zambia
|
|||
|
|
Lethbridge 49.6942 -112.8328 Canada
|
|||
|
|
Vista 33.1896 -117.2386 United States
|
|||
|
|
Chikusei 36.3071 139.9831 Japan
|
|||
|
|
Ancona 43.6169 13.5167 Italy
|
|||
|
|
Saku 36.2488 138.4769 Japan
|
|||
|
|
Silvassa 20.2667 73.0167 India
|
|||
|
|
Santa Cruz do Capibaribe -7.9569 -36.205 Brazil
|
|||
|
|
Babahoyo -1.8167 -79.5167 Ecuador
|
|||
|
|
Lugo 43.0167 -7.55 Spain
|
|||
|
|
Chakdaha 23.08 88.52 India
|
|||
|
|
Shimada 34.8363 138.1927 Japan
|
|||
|
|
Closepet 12.723 77.286 India
|
|||
|
|
Jiantang 27.8333 99.7 China
|
|||
|
|
Dovzhansk 48.0778 39.6472 Ukraine
|
|||
|
|
Birecik 37.025 37.9769 Turkey
|
|||
|
|
Emmiganur 15.7333 77.4833 India
|
|||
|
|
Yalamakuru 15.5103 77.5249 India
|
|||
|
|
Balamban 10.47 123.78 Philippines
|
|||
|
|
Siguatepeque 14.6 -87.8333 Honduras
|
|||
|
|
Labuan 5.3 115.22 Malaysia
|
|||
|
|
Naxcivan 39.2161 45.4106 Azerbaijan
|
|||
|
|
Rawanduz 36.6119 44.5247 Iraq
|
|||
|
|
Yumbo 3.585 -76.4958 Colombia
|
|||
|
|
Vaniyambadi 12.6825 78.6167 India
|
|||
|
|
Al Jizah 31.6833 35.95 Jordan
|
|||
|
|
Buckeye 33.4314 -112.6429 United States
|
|||
|
|
Rubio 7.7 -72.35 Venezuela
|
|||
|
|
Tiruttani 13.18 79.63 India
|
|||
|
|
Mianwali 32.5853 71.5436 Pakistan
|
|||
|
|
Dongping 28.3817 111.2194 China
|
|||
|
|
Meizichong 28.1419 111.6444 China
|
|||
|
|
Nahiyat al Karmah 33.4042 43.9133 Iraq
|
|||
|
|
Moca 19.3833 -70.5167 Dominican Republic
|
|||
|
|
Rincon de Romos 22.2333 -102.3167 Mexico
|
|||
|
|
Ocotlan 20.3467 -102.7744 Mexico
|
|||
|
|
Sibolga 1.74 98.78 Indonesia
|
|||
|
|
Esslingen 48.7333 9.3167 Germany
|
|||
|
|
Cerete 8.8833 -75.8 Colombia
|
|||
|
|
Hemel Hempstead 51.7526 -0.4692 United Kingdom
|
|||
|
|
Livonia 42.3972 -83.3733 United States
|
|||
|
|
San Ramon -33.5333 -70.6417 Chile
|
|||
|
|
San Martin Jilotepeque 14.7833 -90.8 Guatemala
|
|||
|
|
Williamsburg 37.2693 -76.7076 United States
|
|||
|
|
Bouna 9.2667 -3 Côte d’Ivoire
|
|||
|
|
Legnica 51.2083 16.1603 Poland
|
|||
|
|
Kangan 34.263 74.903 India
|
|||
|
|
Suffolk 36.6953 -76.6398 United States
|
|||
|
|
Los Patios 7.8333 -72.5167 Colombia
|
|||
|
|
Compton 33.893 -118.2274 United States
|
|||
|
|
Lecce 40.35 18.1667 Italy
|
|||
|
|
Bath 51.38 -2.36 United Kingdom
|
|||
|
|
Behshahr 36.6911 53.5539 Iran
|
|||
|
|
Lopez 13.884 122.2604 Philippines
|
|||
|
|
Lingwala -4.3203 15.2983 Congo (Kinshasa)
|
|||
|
|
La Crosse 43.8241 -91.2268 United States
|
|||
|
|
Bhadohi 25.42 82.57 India
|
|||
|
|
Kanuma 36.5671 139.7451 Japan
|
|||
|
|
Gjakove 42.3833 20.4333 Kosovo
|
|||
|
|
Edmond 35.6689 -97.416 United States
|
|||
|
|
San Joaquin -33.4792 -70.6413 Chile
|
|||
|
|
Gerona 15.6069 120.5986 Philippines
|
|||
|
|
Carson 33.8374 -118.2559 United States
|
|||
|
|
Allinagaram 10.0119 77.4786 India
|
|||
|
|
Gatchina 59.5833 30.1333 Russia
|
|||
|
|
Bayan Hot 38.8556 105.7001 China
|
|||
|
|
Niagara Falls 43.06 -79.1067 Canada
|
|||
|
|
Villa Luzuriaga -34.6595 -58.5833 Argentina
|
|||
|
|
Marmagao 15.4 73.8 India
|
|||
|
|
San Marcos 33.135 -117.1743 United States
|
|||
|
|
Pingyuanjie 23.7491 103.7841 China
|
|||
|
|
Greenburgh 41.033 -73.8412 United States
|
|||
|
|
Shibata 37.9479 139.3273 Japan
|
|||
|
|
Ludwigsburg 48.8975 9.1922 Germany
|
|||
|
|
Giessen 50.5833 8.6667 Germany
|
|||
|
|
Ashiya 34.7278 135.3033 Japan
|
|||
|
|
Yishui 35.7904 118.62 China
|
|||
|
|
Yi Xian 39.3444 115.4954 China
|
|||
|
|
Tracy 37.7269 -121.4523 United States
|
|||
|
|
Paracatu -17.2217 -46.875 Brazil
|
|||
|
|
Herzliyya 32.1653 34.8458 Israel
|
|||
|
|
Monkayo 7.8239 126.0536 Philippines
|
|||
|
|
Ponta Pora -22.5358 -55.7258 Brazil
|
|||
|
|
Hayes 51.5127 -0.4211 United Kingdom
|
|||
|
|
Rio Largo -9.4778 -35.8528 Brazil
|
|||
|
|
San Fernando 36.4667 -6.2 Spain
|
|||
|
|
Azumino 36.3039 137.9058 Japan
|
|||
|
|
Prescott Valley 34.598 -112.3185 United States
|
|||
|
|
Dhar 22.5972 75.3042 India
|
|||
|
|
Qormi 35.8794 14.4722 Malta
|
|||
|
|
San Jose del Rincon Centro 19.6606 -100.1525 Mexico
|
|||
|
|
Middletown 39.5033 -84.3659 United States
|
|||
|
|
Valongo 41.1833 -8.5 Portugal
|
|||
|
|
Alvand 36.1867 50.0639 Iran
|
|||
|
|
Lingtang 23.6032 113.074 China
|
|||
|
|
Dong Ha 16.8303 107.0972 Vietnam
|
|||
|
|
Menderes 38.254 27.134 Turkey
|
|||
|
|
Chiantla 15.35 -91.45 Guatemala
|
|||
|
|
Simeulu 2.63 96.09 Indonesia
|
|||
|
|
Zifta 30.7142 31.2443 Egypt
|
|||
|
|
Cape Breton 46.1389 -60.1931 Canada
|
|||
|
|
Al Fujayrah 25.1222 56.3344 United Arab Emirates
|
|||
|
|
Sanjo 37.6368 138.9617 Japan
|
|||
|
|
Mikhaylovsk 45.1333 42.0333 Russia
|
|||
|
|
Fall River 41.7136 -71.1015 United States
|
|||
|
|
Gera 50.8806 12.0833 Germany
|
|||
|
|
Jaen -5.7083 -78.8083 Peru
|
|||
|
|
Mairipora -23.3189 -46.5869 Brazil
|
|||
|
|
Lawang -7.83 112.7 Indonesia
|
|||
|
|
San German 18.0827 -67.046 Puerto Rico
|
|||
|
|
Hradec Kralove 50.2092 15.8322 Czechia
|
|||
|
|
Daanbantayan 11.25 124 Philippines
|
|||
|
|
Sarov 54.9333 43.3167 Russia
|
|||
|
|
Michurinsk 52.8833 40.4833 Russia
|
|||
|
|
Monastir 35.7694 10.8194 Tunisia
|
|||
|
|
Wangjia 30.6218 120.7212 China
|
|||
|
|
Yashio 35.8225 139.8392 Japan
|
|||
|
|
Jinbi 25.7356 101.3239 China
|
|||
|
|
Aksehir 38.3575 31.4164 Turkey
|
|||
|
|
Yotsukaido 35.6698 140.1679 Japan
|
|||
|
|
Duren 50.8 6.4833 Germany
|
|||
|
|
Chilliwack 49.1577 -121.9509 Canada
|
|||
|
|
Santa Cruz Xoxocotlan 17.0264 -96.7333 Mexico
|
|||
|
|
Lemery 13.92 120.88 Philippines
|
|||
|
|
Indanan 6 120.97 Philippines
|
|||
|
|
Santa Fe 35.6619 -105.9819 United States
|
|||
|
|
Ramnicu Valcea 45.1047 24.3756 Romania
|
|||
|
|
Fenggang 23.6283 116.5718 China
|
|||
|
|
Tual -5.6368 132.7508 Indonesia
|
|||
|
|
Plantation 26.1259 -80.2617 United States
|
|||
|
|
Galle 6.0328 80.2156 Sri Lanka
|
|||
|
|
Mayaguez 18.2003 -67.1397 Puerto Rico
|
|||
|
|
Itajuba -22.4258 -45.4528 Brazil
|
|||
|
|
Kwekwe -18.9167 29.8167 Zimbabwe
|
|||
|
|
Glazov 58.1333 52.6667 Russia
|
|||
|
|
Darlington 54.527 -1.5526 United Kingdom
|
|||
|
|
New Braunfels 29.6994 -98.1148 United States
|
|||
|
|
Sidi Slimane 34.26 -5.92 Morocco
|
|||
|
|
Creteil 48.7911 2.4628 France
|
|||
|
|
La Marsa 36.8764 10.3253 Tunisia
|
|||
|
|
Ubatuba -23.4394 -45.07 Brazil
|
|||
|
|
Ciudad General Belgrano -34.7167 -58.5333 Argentina
|
|||
|
|
Rafaela -31.2667 -61.4833 Argentina
|
|||
|
|
Wukari 7.8704 9.78 Nigeria
|
|||
|
|
Guaiba -30.1183 -51.3214 Brazil
|
|||
|
|
Barra do Pirai -22.47 -43.8258 Brazil
|
|||
|
|
Palimbang 6.22 124.2 Philippines
|
|||
|
|
Nisshin 35.132 137.0394 Japan
|
|||
|
|
Hanamaki Onsen 39.3886 141.1169 Japan
|
|||
|
|
Tubingen 48.52 9.0556 Germany
|
|||
|
|
Boundiali 9.5167 -6.4833 Côte d’Ivoire
|
|||
|
|
La Reina -33.45 -70.55 Chile
|
|||
|
|
Magadan 59.5667 150.8 Russia
|
|||
|
|
Roswell 34.0391 -84.3513 United States
|
|||
|
|
Wimbledon 51.422 -0.208 United Kingdom
|
|||
|
|
San Sebastian de los Reyes 40.5469 -3.6258 Spain
|
|||
|
|
Tatvan 38.5022 42.2814 Turkey
|
|||
|
|
Kadugli 11.0167 29.7167 Sudan
|
|||
|
|
Akot 21.1 77.06 India
|
|||
|
|
Tamanrasset 22.7889 5.5256 Algeria
|
|||
|
|
Helmond 51.4833 5.65 Netherlands
|
|||
|
|
Inagi 35.6379 139.5046 Japan
|
|||
|
|
Solikamsk 59.6433 56.75 Russia
|
|||
|
|
Mtwara -10.2736 40.1828 Tanzania
|
|||
|
|
Rongwo 35.5161 102.0183 China
|
|||
|
|
Sablayan 12.8428 120.775 Philippines
|
|||
|
|
Azua 18.46 -70.74 Dominican Republic
|
|||
|
|
Naju 35.0333 126.7167 Korea
|
|||
|
|
Mogi Mirim -22.4319 -46.9578 Brazil
|
|||
|
|
Flensburg 54.7819 9.4367 Germany
|
|||
|
|
Iserlohn 51.3833 7.6667 Germany
|
|||
|
|
Sao Joao da Boa Vista -21.9692 -46.7981 Brazil
|
|||
|
|
Oss 51.7667 5.5167 Netherlands
|
|||
|
|
Conroe 30.3238 -95.4824 United States
|
|||
|
|
Barletta 41.3167 16.2833 Italy
|
|||
|
|
Bedford 52.135 -0.47 United Kingdom
|
|||
|
|
South Gate 33.9447 -118.1926 United States
|
|||
|
|
Errachidia 31.9319 -4.4244 Morocco
|
|||
|
|
Tatakan -6.1116 106.1036 Indonesia
|
|||
|
|
Sepatan -6.1143 106.5784 Indonesia
|
|||
|
|
Kitakami 39.2867 141.1132 Japan
|
|||
|
|
Serra Talhada -7.9833 -38.3 Brazil
|
|||
|
|
Contai 21.78 87.75 India
|
|||
|
|
Santa Barbara 16.0031 120.4008 Philippines
|
|||
|
|
Obu 35.0117 136.9637 Japan
|
|||
|
|
Teziutlan 19.8178 -97.3667 Mexico
|
|||
|
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Santa Monica 34.0235 -118.481 United States
|
|||
|
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Pardubice 50.0386 15.7792 Czechia
|
|||
|
|
Coatepec 19.4522 -96.9614 Mexico
|
|||
|
|
La Spezia 44.1 9.8167 Italy
|
|||
|
|
Sao Roque -23.5292 -47.1353 Brazil
|
|||
|
|
Voskresensk 55.3167 38.7 Russia
|
|||
|
|
Kirkland 47.697 -122.2057 United States
|
|||
|
|
Hoover 33.3763 -86.8068 United States
|
|||
|
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Kot Kapura 30.5833 74.9 India
|
|||
|
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Usti nad Labem 50.6583 14.0417 Czechia
|
|||
|
|
Netrakona 24.8819 90.7275 Bangladesh
|
|||
|
|
Hove 50.8352 -0.1758 United Kingdom
|
|||
|
|
Cruzeiro do Sul -7.6308 -72.67 Brazil
|
|||
|
|
Satsumasendai 31.8167 130.3 Japan
|
|||
|
|
Shabqadar 34.2054 71.5833 Pakistan
|
|||
|
|
Pato Branco -26.2167 -52.6667 Brazil
|
|||
|
|
Nirmal 19.1 78.35 India
|
|||
|
|
Nirala 19.8143 78.1662 India
|
|||
|
|
Ootacamund 11.41 76.7 India
|
|||
|
|
Echague 16.7056 121.6761 Philippines
|
|||
|
|
Aroroy 12.5125 123.3989 Philippines
|
|||
|
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Mobara 35.4285 140.2881 Japan
|
|||
|
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Ben Arous 36.7472 10.3333 Tunisia
|
|||
|
|
Prosperidad 8.61 125.92 Philippines
|
|||
|
|
Alabel 6.1023 125.2868 Philippines
|
|||
|
|
Ban Laem Chabang 13.0833 100.8833 Thailand
|
|||
|
|
Grimsby 53.5675 -0.08 United Kingdom
|
|||
|
|
Lobnya 56.0167 37.4833 Russia
|
|||
|
|
Villingen-Schwenningen 48.0603 8.4586 Germany
|
|||
|
|
Jangipur 24.4691 88.1032 India
|
|||
|
|
Jaffna 9.6647 80.0167 Sri Lanka
|
|||
|
|
Janzur 32.8172 13.0111 Libya
|
|||
|
|
Leshou 38.1902 116.1205 China
|
|||
|
|
Lawrence 42.7002 -71.1626 United States
|
|||
|
|
Muncie 40.1989 -85.395 United States
|
|||
|
|
Sangrur 30.2506 75.8442 India
|
|||
|
|
Damaturu 11.7444 11.9611 Nigeria
|
|||
|
|
Qiantangcun 23.6742 116.915 China
|
|||
|
|
Hartlepool 54.69 -1.21 United Kingdom
|
|||
|
|
Al Wakrah 25.18 51.61 Qatar
|
|||
|
|
Sassandra 4.95 -6.0833 Côte d’Ivoire
|
|||
|
|
Sakai 36.1669 136.2314 Japan
|
|||
|
|
Newmarket 44.05 -79.4667 Canada
|
|||
|
|
Jilotepec 19.9519 -99.5328 Mexico
|
|||
|
|
Makilala 6.97 125.08 Philippines
|
|||
|
|
Wislane 30.225 -8.3801 Morocco
|
|||
|
|
Maiquetia 10.5958 -66.9772 Venezuela
|
|||
|
|
Mettupalaiyam 11.2341 76.9067 India
|
|||
|
|
Wakiso 0.3981 32.4781 Uganda
|
|||
|
|
Bromley 51.407 0.021 United Kingdom
|
|||
|
|
Jumri Tilaiya 24.4289 85.5355 India
|
|||
|
|
Rapid City 44.0716 -103.2204 United States
|
|||
|
|
Guanambi -14.2228 -42.7808 Brazil
|
|||
|
|
Jaguey Grande 22.5292 -81.1325 Cuba
|
|||
|
|
Baggao 17.9347 121.7733 Philippines
|
|||
|
|
San Juan de los Morros 9.901 -67.354 Venezuela
|
|||
|
|
Aruppukkottai 9.5139 78.1002 India
|
|||
|
|
Faridkot 30.67 74.76 India
|
|||
|
|
Calauan 14.15 121.32 Philippines
|
|||
|
|
Ceylanpinar 36.8461 40.0489 Turkey
|
|||
|
|
Ama 35.2004 136.7832 Japan
|
|||
|
|
Slupsk 54.4658 17.0292 Poland
|
|||
|
|
Madgaon 15.2736 73.9581 India
|
|||
|
|
Baras 14.52 121.27 Philippines
|
|||
|
|
Gitarama -2.0696 29.76 Rwanda
|
|||
|
|
Ende -8.8333 121.65 Indonesia
|
|||
|
|
Koidu-Bulma 8.4405 -10.85 Sierra Leone
|
|||
|
|
Palangotu Adwar 32.7888 76.0009 India
|
|||
|
|
Sakiet ez Zit 34.8 10.77 Tunisia
|
|||
|
|
Western Bicutan 14.5094 121.0381 Philippines
|
|||
|
|
Chester 53.19 -2.89 United Kingdom
|
|||
|
|
Consolacion del Sur 22.5083 -83.5172 Cuba
|
|||
|
|
Cipolletti -38.9333 -67.9833 Argentina
|
|||
|
|
Kpalime 6.9 0.6333 Togo
|
|||
|
|
Changting 25.867 116.3167 China
|
|||
|
|
Maasin 10.13 124.85 Philippines
|
|||
|
|
San Fabian 16.15 120.45 Philippines
|
|||
|
|
Satrovka 39.9319 48.9203 Azerbaijan
|
|||
|
|
Ratingen 51.3 6.85 Germany
|
|||
|
|
Midrand -25.9992 28.1264 South Africa
|
|||
|
|
Denan 6.5 43.5 Ethiopia
|
|||
|
|
Santa Catarina Pinula 14.5667 -90.5 Guatemala
|
|||
|
|
Calaca 13.93 120.8131 Philippines
|
|||
|
|
Caratinga -19.7833 -42.1333 Brazil
|
|||
|
|
Jamui 24.9278 86.2239 India
|
|||
|
|
Middelburg -25.7684 29.4783 South Africa
|
|||
|
|
Camiling 15.6867 120.4131 Philippines
|
|||
|
|
Nahuala 14.85 -91.3167 Guatemala
|
|||
|
|
Limpio -25.1683 -57.4942 Paraguay
|
|||
|
|
Shuangshuicun 22.4356 112.9964 China
|
|||
|
|
Torrente 39.4389 -0.4656 Spain
|
|||
|
|
Chongoroi -13.5667 13.95 Angola
|
|||
|
|
Chimbas -31.5 -68.5319 Argentina
|
|||
|
|
Bhola 22.6833 90.65 Bangladesh
|
|||
|
|
Taxila 33.7458 72.7875 Pakistan
|
|||
|
|
Hovsan 40.3744 50.0853 Azerbaijan
|
|||
|
|
Luvungi -2.86 29.03 Congo (Kinshasa)
|
|||
|
|
Korgas 44.2125 80.4097 China
|
|||
|
|
Melbourne 28.1086 -80.6627 United States
|
|||
|
|
Atakpame 7.5269 1.1267 Togo
|
|||
|
|
Woolwich 51.488 0.063 United Kingdom
|
|||
|
|
Longchuan 25.1945 101.2759 China
|
|||
|
|
Brooklyn Park 45.1112 -93.3505 United States
|
|||
|
|
Karacabey 40.2167 28.35 Turkey
|
|||
|
|
Baabda 33.8333 35.5333 Lebanon
|
|||
|
|
Larnaca 34.9167 33.6333 Cyprus
|
|||
|
|
Presov 49.0017 21.2394 Slovakia
|
|||
|
|
Bryan 30.665 -96.3807 United States
|
|||
|
|
Sayhat 26.475 50.0417 Saudi Arabia
|
|||
|
|
Westland 42.3192 -83.3805 United States
|
|||
|
|
Ilion 38.0333 23.7 Greece
|
|||
|
|
Peterborough 44.3 -78.3167 Canada
|
|||
|
|
Ciudad Mante 22.7333 -98.95 Mexico
|
|||
|
|
Konotop 51.2167 33.2 Ukraine
|
|||
|
|
Pandacan 14.594 121.007 Philippines
|
|||
|
|
Chirundu -16.05 28.8333 Zambia
|
|||
|
|
Tuxpam de Rodriguez Cano 20.95 -97.4 Mexico
|
|||
|
|
Ijui -28.3878 -53.915 Brazil
|
|||
|
|
Napa 38.2975 -122.301 United States
|
|||
|
|
Mohammadia 35.5833 0.0667 Algeria
|
|||
|
|
Catanzaro 38.9 16.6 Italy
|
|||
|
|
Sumenep -7.0049 113.8496 Indonesia
|
|||
|
|
Tshilenge -6.25 23.7667 Congo (Kinshasa)
|
|||
|
|
Worms 49.6319 8.3653 Germany
|
|||
|
|
Pinheiro -2.5208 -45.0828 Brazil
|
|||
|
|
Treviso 45.6667 12.25 Italy
|
|||
|
|
Madaba 31.7167 35.8 Jordan
|
|||
|
|
Khemis Miliana 36.2667 2.2167 Algeria
|
|||
|
|
Yokotemachi 39.3113 140.5533 Japan
|
|||
|
|
Dhoraji 21.7337 70.4499 India
|
|||
|
|
Rafha 29.6386 43.5014 Saudi Arabia
|
|||
|
|
Honiara -9.4319 159.9556 Solomon Islands
|
|||
|
|
Ushiku 35.9794 140.1496 Japan
|
|||
|
|
Tire 38.0833 27.7333 Turkey
|
|||
|
|
Virappanchathiram 11.3553 77.6678 India
|
|||
|
|
Baytown 29.7587 -94.9671 United States
|
|||
|
|
Komae 35.6348 139.5787 Japan
|
|||
|
|
Santana do Livramento -30.8775 -55.5331 Brazil
|
|||
|
|
Sabanalarga 10.63 -74.9236 Colombia
|
|||
|
|
Dmitrov 56.35 37.5333 Russia
|
|||
|
|
New Kru Town 6.3733 -10.7928 Liberia
|
|||
|
|
Carpina -7.8508 -35.2547 Brazil
|
|||
|
|
Kaizuka 34.4333 135.3667 Japan
|
|||
|
|
Nabunturan 7.6008 125.9656 Philippines
|
|||
|
|
Marl 51.6667 7.1167 Germany
|
|||
|
|
Suceava 47.6514 26.2556 Romania
|
|||
|
|
Bais 9.5907 123.1213 Philippines
|
|||
|
|
Villa Altagracia 18.6667 -70.1667 Dominican Republic
|
|||
|
|
Science City of Munoz 15.7153 120.9039 Philippines
|
|||
|
|
Athurugiriya 6.8922 79.9428 Sri Lanka
|
|||
|
|
Higashiyamato 35.7454 139.4265 Japan
|
|||
|
|
Ayase 35.4333 139.4333 Japan
|
|||
|
|
Bilwi 14.0281 -83.3808 Nicaragua
|
|||
|
|
Cicero 41.8445 -87.7593 United States
|
|||
|
|
Chigorodo 7.6675 -76.6808 Colombia
|
|||
|
|
Quixada -4.969 -39.013 Brazil
|
|||
|
|
Concepcion Tutuapa 15.2833 -91.7833 Guatemala
|
|||
|
|
Wako 35.7812 139.6057 Japan
|
|||
|
|
Al Hindiyah 32.5442 44.2197 Iraq
|
|||
|
|
Luancheng 37.9003 114.6483 China
|
|||
|
|
Darayya 33.45 36.25 Syria
|
|||
|
|
Sambava -14.2667 50.1667 Madagascar
|
|||
|
|
Kitakoriyamacho 34.65 135.7833 Japan
|
|||
|
|
Hetauda 27.4167 85.0333 Nepal
|
|||
|
|
Ath Thawrah 35.8367 38.5481 Syria
|
|||
|
|
Laharpur 27.72 80.9 India
|
|||
|
|
Diphu 25.83 93.43 India
|
|||
|
|
Bolinao 16.3881 119.8947 Philippines
|
|||
|
|
Aruja -23.3967 -46.3211 Brazil
|
|||
|
|
El Milia 36.75 6.2667 Algeria
|
|||
|
|
Channapatna 12.6514 77.2067 India
|
|||
|
|
San Baudilio de Llobregat 41.336 2.043 Spain
|
|||
|
|
Chita 35 136.8667 Japan
|
|||
|
|
Anderson 40.0891 -85.6892 United States
|
|||
|
|
Kesan 40.85 26.6333 Turkey
|
|||
|
|
Kineshma 57.4333 42.1333 Russia
|
|||
|
|
Ermelo -26.5333 29.9833 South Africa
|
|||
|
|
Zheleznogorsk 56.25 93.5333 Russia
|
|||
|
|
Xishancun 23.2589 116.2388 China
|
|||
|
|
Acayucan 17.9422 -94.9103 Mexico
|
|||
|
|
Lucas do Rio Verde -13.0719 -55.9192 Brazil
|
|||
|
|
Dolisie -4.2006 12.6792 Congo (Brazzaville)
|
|||
|
|
Bhawanipatna 19.91 83.128 India
|
|||
|
|
Pilkhua 28.712 77.6545 India
|
|||
|
|
Samadiala 21.337 71.31 India
|
|||
|
|
Ho 6.6119 0.4703 Ghana
|
|||
|
|
Haskovo 41.9333 25.5667 Bulgaria
|
|||
|
|
Yeysk 46.7111 38.2733 Russia
|
|||
|
|
Franklin 35.92 -86.8516 United States
|
|||
|
|
Matao -21.6028 -48.3658 Brazil
|
|||
|
|
Barahona 18.2 -71.1 Dominican Republic
|
|||
|
|
Tiruppattur 12.4915 78.5684 India
|
|||
|
|
Hamma Bouziane 36.5333 6.7167 Algeria
|
|||
|
|
Versailles 48.8053 2.135 France
|
|||
|
|
Moriyama 35.0586 135.9942 Japan
|
|||
|
|
Farmington Hills 42.486 -83.3771 United States
|
|||
|
|
Nizwa 22.9333 57.5333 Oman
|
|||
|
|
Buena Park 33.8572 -118.0046 United States
|
|||
|
|
Foumban 5.7167 10.9167 Cameroon
|
|||
|
|
Talavera de la Reina 39.9583 -4.8328 Spain
|
|||
|
|
Lafey 3.1508 41.1864 Kenya
|
|||
|
|
Galway 53.2719 -9.0489 Ireland
|
|||
|
|
Albany 31.5776 -84.1762 United States
|
|||
|
|
Aylesbury 51.8168 -0.8124 United Kingdom
|
|||
|
|
Atambua -9.1061 124.8925 Indonesia
|
|||
|
|
Nazareth 32.7019 35.3033 Israel
|
|||
|
|
Taytay 10.82 119.52 Philippines
|
|||
|
|
Phuc Yen 21.2333 105.7 Vietnam
|
|||
|
|
Resita 45.3008 21.8892 Romania
|
|||
|
|
La Piedad 20.3333 -102.0167 Mexico
|
|||
|
|
Gokulgarh 28.2468 76.6176 India
|
|||
|
|
Sao Bento do Sul -26.25 -49.3833 Brazil
|
|||
|
|
Serrinha -11.661 -39.007 Brazil
|
|||
|
|
Maco 7.3619 125.8553 Philippines
|
|||
|
|
Lqoliaa 30.2908 -9.4661 Morocco
|
|||
|
|
Pine Hills 28.5818 -81.4692 United States
|
|||
|
|
Ashford 51.1465 0.8676 United Kingdom
|
|||
|
|
Sirsilla 18.38 78.83 India
|
|||
|
|
Como 45.8167 9.0833 Italy
|
|||
|
|
State College 40.7909 -77.8567 United States
|
|||
|
|
Boukoumbe 10.1833 1.1 Benin
|
|||
|
|
Habiganj 24.3808 91.4144 Bangladesh
|
|||
|
|
Lakshmipur 22.94 90.833 Bangladesh
|
|||
|
|
La Trinidad 15.9833 -91.8667 Mexico
|
|||
|
|
Picos -7.0769 -41.4669 Brazil
|
|||
|
|
Siaton 9.07 123.03 Philippines
|
|||
|
|
Redwood City 37.5025 -122.2253 United States
|
|||
|
|
Minden 52.2883 8.9167 Germany
|
|||
|
|
Kampong Trach 10.55 104.4667 Cambodia
|
|||
|
|
San Antonio 15.3078 120.8533 Philippines
|
|||
|
|
Moju -1.89 -48.7661 Brazil
|
|||
|
|
Ciudad de Ceuta 35.8883 -5.3156 Spain
|
|||
|
|
Lelystad 52.5 5.4833 Netherlands
|
|||
|
|
La Lima 15.433 -87.917 Honduras
|
|||
|
|
San Fernando 10.2833 -61.4667 Trinidad and Tobago
|
|||
|
|
Wutiancun 23.1852 116.4757 China
|
|||
|
|
Mingxing 37.4264 112.5442 China
|
|||
|
|
Mazatenango 14.5333 -91.5 Guatemala
|
|||
|
|
Mansa 29.9906 75.3996 India
|
|||
|
|
Mabinay 9.73 122.92 Philippines
|
|||
|
|
Busto Arsizio 45.6119 8.85 Italy
|
|||
|
|
Nantingcun 20.804 110.0826 China
|
|||
|
|
David 8.4333 -82.4333 Panama
|
|||
|
|
Al Hayy 32.1667 46.05 Iraq
|
|||
|
|
Louga 15.6167 -16.2167 Senegal
|
|||
|
|
Ufeyn 10.65 49.75 Somalia
|
|||
|
|
Salisbury 38.3756 -75.5865 United States
|
|||
|
|
Jepara -6.5333 110.6667 Indonesia
|
|||
|
|
Redditch 52.3 -1.9333 United Kingdom
|
|||
|
|
Saunda 23.66 85.35 India
|
|||
|
|
Morgantown 39.6383 -79.9464 United States
|
|||
|
|
Kongjiazhuangcun 40.7536 114.7237 China
|
|||
|
|
Norderstedt 53.7064 10.0103 Germany
|
|||
|
|
Ashoknagar 24.58 77.73 India
|
|||
|
|
Silver Spring 39.0028 -77.0207 United States
|
|||
|
|
Ubay 10.056 124.4729 Philippines
|
|||
|
|
Yurga 55.7231 84.8861 Russia
|
|||
|
|
Bhaktapur 27.6722 85.4278 Nepal
|
|||
|
|
Layton 41.077 -111.962 United States
|
|||
|
|
Bilecik 40.1431 29.9792 Turkey
|
|||
|
|
Yildiz 41.6344 32.3375 Turkey
|
|||
|
|
Gurgenpinari 41.6344 32.3375 Turkey
|
|||
|
|
Uzungoz 41.6344 32.3375 Turkey
|
|||
|
|
Lucerne 47.05 8.3 Switzerland
|
|||
|
|
Siasi 5.5462 120.8145 Philippines
|
|||
|
|
Concordia -27.2339 -52.0278 Brazil
|
|||
|
|
Watampone -4.5386 120.3297 Indonesia
|
|||
|
|
Springfield 39.93 -83.7959 United States
|
|||
|
|
Katoya 23.65 88.13 India
|
|||
|
|
An Khe 13.9531 108.6569 Vietnam
|
|||
|
|
Paranavai -23.0728 -52.465 Brazil
|
|||
|
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Muroran 42.3167 140.9667 Japan
|
|||
|
|
Timoteo -19.5828 -42.6439 Brazil
|
|||
|
|
Apizaco 19.4167 -98.1333 Mexico
|
|||
|
|
Hukou 24.9 121.05 Taiwan
|
|||
|
|
Sao Sebastiao -23.8078 -45.4027 Brazil
|
|||
|
|
Courbevoic 48.8978 2.2531 France
|
|||
|
|
Purmerend 52.5 4.95 Netherlands
|
|||
|
|
Dar el Beida 36.7142 3.2125 Algeria
|
|||
|
|
Imam Qasim 32.3014 44.6892 Iraq
|
|||
|
|
Lakewood 33.8471 -118.1222 United States
|
|||
|
|
Kentau 43.5167 68.5167 Kazakhstan
|
|||
|
|
Remedios de Escalada -34.7167 -58.4 Argentina
|
|||
|
|
Xicotepec de Juarez 20.3 -97.9667 Mexico
|
|||
|
|
Anapa 44.8944 37.3167 Russia
|
|||
|
|
Fiumicino 41.7667 12.2333 Italy
|
|||
|
|
Afsin 38.2464 36.9186 Turkey
|
|||
|
|
Shuibian 24.1263 112.7668 China
|
|||
|
|
Kadi 23.3009 72.3322 India
|
|||
|
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Valdemoro 40.1908 -3.6742 Spain
|
|||
|
|
Chapadinha -3.7419 -43.36 Brazil
|
|||
|
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Xiedian 35.419 110.8281 China
|
|||
|
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Matalam 7.08 124.9 Philippines
|
|||
|
|
Kimitsu 35.3304 139.9027 Japan
|
|||
|
|
Grosseto 42.7667 11.1 Italy
|
|||
|
|
Buhi 13.4347 123.5167 Philippines
|
|||
|
|
Athi River -1.45 36.9833 Kenya
|
|||
|
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Nowy Sacz 49.6239 20.6972 Poland
|
|||
|
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Florence 34.8303 -87.6655 United States
|
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|
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San Jose de las Lajas 22.9678 -82.1558 Cuba
|
|||
|
|
Pacatuba -3.9839 -38.62 Brazil
|
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|
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Lambunao 11.05 122.48 Philippines
|
|||
|
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Bulacan 14.7928 120.8789 Philippines
|
|||
|
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Novouralsk 57.25 60.0833 Russia
|
|||
|
|
Mannargudi 10.6653 79.4521 India
|
|||
|
|
Port of Spain 10.6667 -61.5167 Trinidad and Tobago
|
|||
|
|
Orhangazi 40.4889 29.3083 Turkey
|
|||
|
|
Hengkou 32.7378 108.7695 China
|
|||
|
|
Ita -25.4833 -57.35 Paraguay
|
|||
|
|
Folsom 38.6668 -121.1422 United States
|
|||
|
|
Kapalong 7.5854 125.7052 Philippines
|
|||
|
|
Salina Cruz 16.1833 -95.2 Mexico
|
|||
|
|
Panzos 15.4 -89.6667 Guatemala
|
|||
|
|
Tecate 32.5722 -116.6403 Mexico
|
|||
|
|
Balrampur 27.43 82.18 India
|
|||
|
|
Baalbek 34.0063 36.2073 Lebanon
|
|||
|
|
Hengelo 52.2653 6.7931 Netherlands
|
|||
|
|
Kashiwazaki 37.3719 138.559 Japan
|
|||
|
|
Tallaght 53.2886 -6.3572 Ireland
|
|||
|
|
Khamanon Kalan 30.82 76.35 India
|
|||
|
|
La Louviere 50.4667 4.1833 Belgium
|
|||
|
|
Launceston -41.4419 147.145 Australia
|
|||
|
|
Madera 36.963 -120.0778 United States
|
|||
|
|
Dera Allahyar 28.3769 68.3506 Pakistan
|
|||
|
|
Gonder 12.6075 37.4592 Ethiopia
|
|||
|
|
Campo Limpo -23.2064 -46.7844 Brazil
|
|||
|
|
Gaoliying Ercun 40.1578 116.4933 China
|
|||
|
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New Rochelle 40.9304 -73.7836 United States
|
|||
|
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Rafah 31.2808 34.2414 Egypt
|
|||
|
|
Ahenkro 7.1164 0.3242 Ghana
|
|||
|
|
Yonezawa 37.9222 140.1168 Japan
|
|||
|
|
Orihuela 38.0856 -0.9469 Spain
|
|||
|
|
Shiji 23.5607 112.963 China
|
|||
|
|
Gobernador Galvez -33.0256 -60.6336 Argentina
|
|||
|
|
San Francisco 8.51 125.98 Philippines
|
|||
|
|
Malapatan 5.97 125.28 Philippines
|
|||
|
|
Balcova 38.3856 27.0581 Turkey
|
|||
|
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Barili 10.12 123.53 Philippines
|
|||
|
|
Wujindian 31.9839 112.7703 China
|
|||
|
|
Meybod 32.2444 54.0186 Iran
|
|||
|
|
Yanggao 21.3298 109.9177 China
|
|||
|
|
Bargarh 21.3333 83.6167 India
|
|||
|
|
Curvelo -18.7558 -44.4308 Brazil
|
|||
|
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San Cristobal Verapaz 15.365 -90.4792 Guatemala
|
|||
|
|
Comitancillo 15.0833 -91.7167 Guatemala
|
|||
|
|
Seropedica -22.7439 -43.7078 Brazil
|
|||
|
|
Parma 41.3843 -81.7286 United States
|
|||
|
|
Terre Haute 39.466 -87.3751 United States
|
|||
|
|
San Ramon 10.2182 -84.5992 Costa Rica
|
|||
|
|
Bulanik 39.095 42.2667 Turkey
|
|||
|
|
Pleasanton 37.6663 -121.8805 United States
|
|||
|
|
Aligudarz 33.4025 49.6903 Iran
|
|||
|
|
Zaandam 52.4333 4.8333 Netherlands
|
|||
|
|
Mooka 36.4404 140.0134 Japan
|
|||
|
|
Arlit 18.7333 7.3833 Niger
|
|||
|
|
Skarzysko-Kamienna 51.1167 20.9167 Poland
|
|||
|
|
Dabakala 8.3667 -4.4333 Côte d’Ivoire
|
|||
|
|
Curepipe -20.3188 57.5263 Mauritius
|
|||
|
|
Dongchuan 25.5086 101.2356 China
|
|||
|
|
Hengbei 23.8787 115.7309 China
|
|||
|
|
Kuvango -14.4667 16.3 Angola
|
|||
|
|
Brixton 51.4575 -0.1175 United Kingdom
|
|||
|
|
La Rochelle 46.16 -1.15 France
|
|||
|
|
Taher 36.7719 5.8983 Algeria
|
|||
|
|
Gyoda 36.1389 139.4556 Japan
|
|||
|
|
Sahuayo de Morelos 20.05 -102.7333 Mexico
|
|||
|
|
Aveiro 40.6333 -8.65 Portugal
|
|||
|
|
Bauang 16.53 120.33 Philippines
|
|||
|
|
Dinga 32.641 73.7243 Pakistan
|
|||
|
|
Iperu 6.9143 3.6632 Nigeria
|
|||
|
|
Varese 45.8167 8.8333 Italy
|
|||
|
|
Kendall 25.6697 -80.3556 United States
|
|||
|
|
Arkonam 13.0778 79.6667 India
|
|||
|
|
Delmenhorst 53.0506 8.6317 Germany
|
|||
|
|
Jonesboro 35.8212 -90.6791 United States
|
|||
|
|
Bandar Emam 30.5058 49.0742 Iran
|
|||
|
|
Bellflower 33.888 -118.1271 United States
|
|||
|
|
Tres Rios -22.1169 -43.2089 Brazil
|
|||
|
|
Kashiba 34.5333 135.7 Japan
|
|||
|
|
Barreiro 38.6667 -9.0667 Portugal
|
|||
|
|
Battle Creek 42.2985 -85.2296 United States
|
|||
|
|
Denov 38.2667 67.9 Uzbekistan
|
|||
|
|
Pototan 10.95 122.63 Philippines
|
|||
|
|
Qorveh 35.1678 47.8008 Iran
|
|||
|
|
Queluz 38.7514 -9.2664 Portugal
|
|||
|
|
Limay 14.5619 120.5983 Philippines
|
|||
|
|
Bamban 15.2742 120.5669 Philippines
|
|||
|
|
Manbij 36.5275 37.9553 Syria
|
|||
|
|
Pingyi 35.5104 117.62 China
|
|||
|
|
Southall 51.5111 -0.3756 United Kingdom
|
|||
|
|
Huolu 38.0874 114.3159 China
|
|||
|
|
San Pedro Pinula 14.6667 -89.85 Guatemala
|
|||
|
|
Chino Hills 33.9508 -117.7254 United States
|
|||
|
|
Pehonko 10.2283 2.0019 Benin
|
|||
|
|
Viersen 51.2561 6.3972 Germany
|
|||
|
|
Cheyenne 41.135 -104.7902 United States
|
|||
|
|
Argao 9.88 123.6 Philippines
|
|||
|
|
Rueil-Malmaison 48.876 2.181 France
|
|||
|
|
Al Khankah 30.1601 31.3133 Egypt
|
|||
|
|
Tanashicho 35.7275 139.5489 Japan
|
|||
|
|
Chitembo -13.5167 16.7667 Angola
|
|||
|
|
Chitemo -13.4872 17.1919 Angola
|
|||
|
|
Ilioupoli 37.9333 23.75 Greece
|
|||
|
|
Macabebe 14.9081 120.7156 Philippines
|
|||
|
|
Kropotkin 45.4333 40.5667 Russia
|
|||
|
|
Lebanon 40.3412 -76.4228 United States
|
|||
|
|
Carmichael 38.6318 -121.3263 United States
|
|||
|
|
South Jordan 40.557 -111.9784 United States
|
|||
|
|
Kuacjok 8.31 27.99 South Sudan
|
|||
|
|
Gandia 38.9667 -0.1833 Spain
|
|||
|
|
Faranah 10.0333 -10.7333 Guinea
|
|||
|
|
Mandiraja Kulon -7.4722 109.5133 Indonesia
|
|||
|
|
Baracoa 20.3486 -74.5106 Cuba
|
|||
|
|
Kizugawa 34.7372 135.82 Japan
|
|||
|
|
Godawari 28.91 80.59 Nepal
|
|||
|
|
Balqash 46.8481 74.995 Kazakhstan
|
|||
|
|
Colon 9.3572 -79.8986 Panama
|
|||
|
|
Essaouira 31.5131 -9.7697 Morocco
|
|||
|
|
Tanuku 16.7566 81.677 India
|
|||
|
|
Narra 9.28 118.42 Philippines
|
|||
|
|
Koch Bihar 26.3242 89.451 India
|
|||
|
|
Chengbin 19.9969 110.3375 China
|
|||
|
|
Pakxe 15.1167 105.7833 Laos
|
|||
|
|
Honjo 36.2436 139.1904 Japan
|
|||
|
|
Toyomamachi-teraike 38.6918 141.1877 Japan
|
|||
|
|
Fray Bartolome de Las Casas 15.8456 -89.8658 Guatemala
|
|||
|
|
Rheine 52.2833 7.4333 Germany
|
|||
|
|
Hoofddorp 52.3061 4.6907 Netherlands
|
|||
|
|
Davis 38.5553 -121.737 United States
|
|||
|
|
Marburg 50.81 8.7708 Germany
|
|||
|
|
Villa Victoria 19.4333 -100 Mexico
|
|||
|
|
Elizabethtown 37.7031 -85.8773 United States
|
|||
|
|
Linkou 45.2819 130.2519 China
|
|||
|
|
Birkhadem 36.7167 3.05 Algeria
|
|||
|
|
Kuniyamuttur 10.9638 76.9525 India
|
|||
|
|
Kortrijk 50.8275 3.2658 Belgium
|
|||
|
|
Kambam 9.7375 77.2823 India
|
|||
|
|
Bir el Ater 34.7497 8.0578 Algeria
|
|||
|
|
Champigny-sur-Marne 48.8172 2.5156 France
|
|||
|
|
Brikama 13.2667 -16.65 Gambia
|
|||
|
|
Ukunda -4.2875 39.5661 Kenya
|
|||
|
|
Huebampo 26.7228 -109.4856 Mexico
|
|||
|
|
Hasselt 50.93 5.3375 Belgium
|
|||
|
|
Bebedouro -20.9494 -48.4792 Brazil
|
|||
|
|
Aksu 36.95 30.85 Turkey
|
|||
|
|
Nitra 48.3069 18.0864 Slovakia
|
|||
|
|
Phuket 7.8881 98.3975 Thailand
|
|||
|
|
Lipjan 42.53 21.1386 Kosovo
|
|||
|
|
Bodhan 18.67 77.9 India
|
|||
|
|
Schaumburg 42.0308 -88.0838 United States
|
|||
|
|
Alameda 37.7668 -122.267 United States
|
|||
|
|
Santa Rosa -27.867 -54.467 Brazil
|
|||
|
|
Zhongcheng 28.5973 103.9773 China
|
|||
|
|
Santa Catalina 9.3331 122.8658 Philippines
|
|||
|
|
Grand-Lahou 5.1333 -5.0167 Côte d’Ivoire
|
|||
|
|
Stellenbosch -33.9367 18.8614 South Africa
|
|||
|
|
Hermosa 14.83 120.5 Philippines
|
|||
|
|
Fnidq 35.85 -5.35 Morocco
|
|||
|
|
Mengla 21.4947 101.5693 China
|
|||
|
|
Nipani 16.399 74.3829 India
|
|||
|
|
Vinhedo -23.03 -46.975 Brazil
|
|||
|
|
Tacambaro de Codallos 19.2356 -101.4569 Mexico
|
|||
|
|
Ait Ali 30.1765 -9.4886 Morocco
|
|||
|
|
Flower Mound 33.0343 -97.1146 United States
|
|||
|
|
Ivanteyevka 55.9833 37.9333 Russia
|
|||
|
|
Aira 31.7283 130.6278 Japan
|
|||
|
|
Caledon 43.8667 -79.8667 Canada
|
|||
|
|
Bethlehem 40.6266 -75.3679 United States
|
|||
|
|
Cotui 19.06 -70.15 Dominican Republic
|
|||
|
|
Alcala de Guadaira 37.3333 -5.85 Spain
|
|||
|
|
Tiangua -3.7333 -40.9833 Brazil
|
|||
|
|
Daxincun 38.4428 106.3111 China
|
|||
|
|
Dschang 5.45 10.0667 Cameroon
|
|||
|
|
Idil 37.341 41.894 Turkey
|
|||
|
|
Virac 13.58 124.23 Philippines
|
|||
|
|
Hattiesburg 31.3074 -89.317 United States
|
|||
|
|
Trinidad 21.8042 -79.9831 Cuba
|
|||
|
|
Loveland 40.4166 -105.0623 United States
|
|||
|
|
Abeche 13.8331 20.8347 Chad
|
|||
|
|
Fazilka 30.403 74.025 India
|
|||
|
|
Khemis el Khechna 36.65 3.3306 Algeria
|
|||
|
|
Funing 39.8879 119.2314 China
|
|||
|
|
Armant 25.6167 32.5333 Egypt
|
|||
|
|
Al Musayyib 32.7786 44.29 Iraq
|
|||
|
|
Shinkai 35.8367 139.5803 Japan
|
|||
|
|
Ibiuna -23.6564 -47.2225 Brazil
|
|||
|
|
Paysandu -32.3214 -58.0756 Uruguay
|
|||
|
|
Pittsburg 38.0182 -121.8965 United States
|
|||
|
|
Kafr az Zayyat 30.8247 30.8153 Egypt
|
|||
|
|
Crateus -5.177 -40.668 Brazil
|
|||
|
|
Ninh Hoa 12.4917 109.1258 Vietnam
|
|||
|
|
Siedlce 52.165 22.2714 Poland
|
|||
|
|
Sasolburg -26.8142 27.8286 South Africa
|
|||
|
|
Melton -37.6833 144.5833 Australia
|
|||
|
|
Cedar Park 30.5105 -97.8197 United States
|
|||
|
|
Palencia 42.0167 -4.5333 Spain
|
|||
|
|
Pozzuoli 40.8444 14.0933 Italy
|
|||
|
|
Shajapur 23.4264 76.2778 India
|
|||
|
|
So-Awa 6.4667 2.4167 Benin
|
|||
|
|
Troisdorf 50.8161 7.1556 Germany
|
|||
|
|
Tuban -6.9 112.05 Indonesia
|
|||
|
|
Palmerston North -40.355 175.6117 New Zealand
|
|||
|
|
Padre Hurtado -33.5667 -70.8333 Chile
|
|||
|
|
Anzhero-Sudzhensk 56.0833 86.0333 Russia
|
|||
|
|
Palo 11.1583 124.9917 Philippines
|
|||
|
|
Keshod 21.3 70.25 India
|
|||
|
|
Infanta 14.7425 121.6494 Philippines
|
|||
|
|
East Ham 51.5323 0.0554 United Kingdom
|
|||
|
|
Kadoma -18.34 29.9 Zimbabwe
|
|||
|
|
Daisen 39.4531 140.4754 Japan
|
|||
|
|
Nahavand 34.1928 48.3731 Iran
|
|||
|
|
Bender 46.8333 29.4833 Moldova
|
|||
|
|
Wenatchee 47.436 -120.3295 United States
|
|||
|
|
Weston-super-Mare 51.346 -2.977 United Kingdom
|
|||
|
|
Montepuez -13.1167 39 Mozambique
|
|||
|
|
Esteio -29.8608 -51.1789 Brazil
|
|||
|
|
Southfield 42.4765 -83.2605 United States
|
|||
|
|
Kahror Pakka 29.6236 71.9167 Pakistan
|
|||
|
|
Lins -21.6786 -49.7425 Brazil
|
|||
|
|
Wilhelmshaven 53.5286 8.1056 Germany
|
|||
|
|
Fancheng 39.1891 113.2729 China
|
|||
|
|
Molina de Segura 38.0548 -1.2131 Spain
|
|||
|
|
San Ramon de la Nueva Oran -23.1333 -64.3333 Argentina
|
|||
|
|
Chintamani 13.4 78.066 India
|
|||
|
|
Ryugasaki 35.9116 140.1823 Japan
|
|||
|
|
Manaoag 16.0439 120.4856 Philippines
|
|||
|
|
Rochester Hills 42.6645 -83.1563 United States
|
|||
|
|
Hammond 30.5061 -90.4563 United States
|
|||
|
|
Banska Bystrica 48.7353 19.1453 Slovakia
|
|||
|
|
Merouana 35.6333 5.9167 Algeria
|
|||
|
|
Yanam 16.7333 82.2167 India
|
|||
|
|
Tailai 46.3909 123.4161 China
|
|||
|
|
Toba Tek Singh 30.9711 72.4825 Pakistan
|
|||
|
|
Villa Elisa -25.5075 -57.5725 Paraguay
|
|||
|
|
Valdosta 30.8502 -83.2788 United States
|
|||
|
|
Houmt Souk 33.8667 10.85 Tunisia
|
|||
|
|
Rulin 26.3585 110.3117 China
|
|||
|
|
Chateauguay 45.38 -73.75 Canada
|
|||
|
|
Gladbeck 51.5667 6.9667 Germany
|
|||
|
|
Catacaos -5.2653 -80.675 Peru
|
|||
|
|
Kengtung 21.2917 99.6083 Burma
|
|||
|
|
Ovalle -30.6 -71.2 Chile
|
|||
|
|
Solok -0.7997 100.6661 Indonesia
|
|||
|
|
Sankt Gallen 47.4242 9.3708 Switzerland
|
|||
|
|
Espinal 4.2 -74.8333 Colombia
|
|||
|
|
Benalmadena 36.6 -4.5167 Spain
|
|||
|
|
Pilar 12.9244 123.6756 Philippines
|
|||
|
|
Surendranagar 22.7 71.6833 India
|
|||
|
|
Stakhanov 48.5681 38.6586 Ukraine
|
|||
|
|
Sentani -2.5636 140.5146 Indonesia
|
|||
|
|
Malappuram 11.042 76.0815 India
|
|||
|
|
Kargilik 37.885 77.4131 China
|
|||
|
|
Merignac 44.8386 -0.6436 France
|
|||
|
|
Cadereyta Jimenez 25.6 -100 Mexico
|
|||
|
|
Laiyuan 39.3515 114.6853 China
|
|||
|
|
Xaignabouli 19.25 101.75 Laos
|
|||
|
|
Lod 31.9519 34.8881 Israel
|
|||
|
|
Sidi Qacem 34.2167 -5.7 Morocco
|
|||
|
|
Maghaghah 28.65 30.85 Egypt
|
|||
|
|
Arta 11.5236 42.8472 Djibouti
|
|||
|
|
Santa Rosa 15.4239 120.9389 Philippines
|
|||
|
|
Sapiranga -29.6333 -51 Brazil
|
|||
|
|
Owensboro 37.7575 -87.1172 United States
|
|||
|
|
Umea 63.825 20.2639 Sweden
|
|||
|
|
San Pedro -33.6792 -59.6669 Argentina
|
|||
|
|
Arjona 10.2586 -75.3461 Colombia
|
|||
|
|
Apple Valley 34.5352 -117.2109 United States
|
|||
|
|
Jocotan 14.8167 -89.3833 Guatemala
|
|||
|
|
Ain Temouchent 35.3 -1.1333 Algeria
|
|||
|
|
Woodbury 44.9057 -92.923 United States
|
|||
|
|
Garhi 28.6317 77.3186 India
|
|||
|
|
Cataguases -21.4 -42.6833 Brazil
|
|||
|
|
Aviles 43.5561 -5.9083 Spain
|
|||
|
|
Joensuu 62.6 29.75 Finland
|
|||
|
|
Jablah 35.35 35.9167 Syria
|
|||
|
|
Ramla 31.9275 34.8625 Israel
|
|||
|
|
Tres Coracoes -21.6947 -45.2553 Brazil
|
|||
|
|
Landshut 48.5397 12.1508 Germany
|
|||
|
|
Saint-Maur-des-Fosses 48.7994 2.4997 France
|
|||
|
|
Tindivanam 12.2267 79.6504 India
|
|||
|
|
Carlisle 54.8947 -2.9364 United Kingdom
|
|||
|
|
Srivilliputtur 9.512 77.633 India
|
|||
|
|
Kiyose 35.7857 139.5265 Japan
|
|||
|
|
Xinglong 40.4146 117.493 China
|
|||
|
|
Bhadarwah 32.98 75.7137 India
|
|||
|
|
Ranaghat 23.18 88.58 India
|
|||
|
|
Shadrinsk 56.1333 63.65 Russia
|
|||
|
|
Cheria 35.2667 7.75 Algeria
|
|||
|
|
South Shields 54.995 -1.43 United Kingdom
|
|||
|
|
Kai 35.6608 138.5158 Japan
|
|||
|
|
Bonab 37.3428 46.0617 Iran
|
|||
|
|
Villa Carlos Paz -31.4 -64.5167 Argentina
|
|||
|
|
Ciudad Real 38.9833 -3.9167 Spain
|
|||
|
|
Ardakan 32.3061 54.0081 Iran
|
|||
|
|
Cua Lo 18.8167 105.7167 Vietnam
|
|||
|
|
Acacias 3.9878 -73.7597 Colombia
|
|||
|
|
Frontera 26.926 -101.449 Mexico
|
|||
|
|
Itapira -22.4361 -46.8217 Brazil
|
|||
|
|
Tissemsilt 35.6078 1.8111 Algeria
|
|||
|
|
Pawtucket 41.8744 -71.3743 United States
|
|||
|
|
Lagoa Santa -19.6269 -43.89 Brazil
|
|||
|
|
Dongguan 39.014 111.0768 China
|
|||
|
|
Dhrangadhra 22.98 71.47 India
|
|||
|
|
Kunitachi 35.6839 139.4414 Japan
|
|||
|
|
Dayr al Balah 31.4189 34.3517 Gaza Strip
|
|||
|
|
Pinamungahan 10.27 123.58 Philippines
|
|||
|
|
Antibes 43.5808 7.1239 France
|
|||
|
|
East Kilbride 55.7644 -4.1769 United Kingdom
|
|||
|
|
Teyateyaneng -29.1511 27.7425 Lesotho
|
|||
|
|
Aracati -4.5619 -37.77 Brazil
|
|||
|
|
Detmold 51.9378 8.8833 Germany
|
|||
|
|
Newcastle under Lyme 53.0109 -2.2278 United Kingdom
|
|||
|
|
Mawatagama 7.4245 80.4399 Sri Lanka
|
|||
|
|
Burton upon Trent 52.8019 -1.6367 United Kingdom
|
|||
|
|
Libon 13.3 123.4333 Philippines
|
|||
|
|
Chernogorsk 53.8167 91.3 Russia
|
|||
|
|
Belleville 44.1667 -77.3833 Canada
|
|||
|
|
Telemaco Borba -24.35 -50.6167 Brazil
|
|||
|
|
St. Joseph 39.7598 -94.821 United States
|
|||
|
|
Gangammapeta 18.498 83.9642 India
|
|||
|
|
Puqiancun 23.5723 114.6122 China
|
|||
|
|
Dubna 56.7333 37.1667 Russia
|
|||
|
|
Iju 6.6107 3.0857 Nigeria
|
|||
|
|
Wisil 5.4333 48.1167 Somalia
|
|||
|
|
Al Muharraq 26.25 50.6167 Bahrain
|
|||
|
|
Khejroli 27.37 75.57 India
|
|||
|
|
Tirumangalam 9.8216 77.9891 India
|
|||
|
|
Pardiguda 17.3974 78.5783 India
|
|||
|
|
Warabi 35.8256 139.6797 Japan
|
|||
|
|
Bugallon 15.92 120.18 Philippines
|
|||
|
|
Tocumen 9.08 -79.38 Panama
|
|||
|
|
Cherry Hill 39.9034 -74.9947 United States
|
|||
|
|
Panggezhuang 39.6336 116.3178 China
|
|||
|
|
Jaora 23.63 75.13 India
|
|||
|
|
Doral 25.8152 -80.3565 United States
|
|||
|
|
Gonen 40.1014 27.6514 Turkey
|
|||
|
|
Fouchana 36.7 10.1667 Tunisia
|
|||
|
|
Amakusa 32.4667 130.2 Japan
|
|||
|
|
Tura 25.52 90.22 India
|
|||
|
|
Ambajogai 18.73 76.38 India
|
|||
|
|
Palencia 14.6667 -90.3667 Guatemala
|
|||
|
|
Juchitan de Zaragoza 16.4333 -95.0167 Mexico
|
|||
|
|
Dabra 25.8857 78.3322 India
|
|||
|
|
Ubud -8.5069 115.2624 Indonesia
|
|||
|
|
Sasagawa 37.2865 140.3727 Japan
|
|||
|
|
Darhan 49.4689 105.9575 Mongolia
|
|||
|
|
Darhan 49.6167 106.35 Mongolia
|
|||
|
|
Pozorrubio 16.12 120.55 Philippines
|
|||
|
|
Toffo 6.85 2.0833 Benin
|
|||
|
|
Tiznit 29.7167 -9.7167 Morocco
|
|||
|
|
Esperanza 6.7167 124.5167 Philippines
|
|||
|
|
Tanguieta 10.6167 1.2667 Benin
|
|||
|
|
Tosu 33.3833 130.5 Japan
|
|||
|
|
Moulay Abdallah 33.1978 -8.5883 Morocco
|
|||
|
|
Cotorro 23.0261 -82.2475 Cuba
|
|||
|
|
Drohobych 49.35 23.5 Ukraine
|
|||
|
|
Dalaguete 9.7612 123.5349 Philippines
|
|||
|
|
Piracununga -21.9961 -47.4258 Brazil
|
|||
|
|
Ouro Preto -20.3853 -43.5036 Brazil
|
|||
|
|
Dover 43.1887 -70.8845 United States
|
|||
|
|
Cinisello Balsamo 45.55 9.2167 Italy
|
|||
|
|
Missouri City 29.563 -95.5365 United States
|
|||
|
|
Dayong 22.4653 113.3004 China
|
|||
|
|
Bayreuth 49.9481 11.5783 Germany
|
|||
|
|
Itahari 26.6631 87.2744 Nepal
|
|||
|
|
Peda-Houeyogbe 6.45 1.9333 Benin
|
|||
|
|
Katori 35.6833 140.0333 Japan
|
|||
|
|
Kandori 35.6796 139.9062 Japan
|
|||
|
|
Shancheng 34.7904 116.08 China
|
|||
|
|
Bozuyuk 39.9078 30.0367 Turkey
|
|||
|
|
San Antonio de Los Altos 10.3744 -66.9669 Venezuela
|
|||
|
|
Assab 13.0167 42.7333 Eritrea
|
|||
|
|
Gbawe 5.5767 -0.3108 Ghana
|
|||
|
|
Skelleftea 64.75 20.95 Sweden
|
|||
|
|
Balingasag 8.75 124.78 Philippines
|
|||
|
|
Saratoga Springs 43.0674 -73.7775 United States
|
|||
|
|
Arnsberg 51.3833 8.0833 Germany
|
|||
|
|
Wandiwash 12.5 79.62 India
|
|||
|
|
Ouake 9.6617 1.3847 Benin
|
|||
|
|
Ramhormoz 31.2753 49.6044 Iran
|
|||
|
|
Pocatello 42.8724 -112.4647 United States
|
|||
|
|
Bongouanou 6.65 -4.2 Côte d’Ivoire
|
|||
|
|
San Juan Opico 13.8833 -89.35 El Salvador
|
|||
|
|
Miki 34.7936 134.9931 Japan
|
|||
|
|
Oshkosh 44.0227 -88.5619 United States
|
|||
|
|
Uspantan 15.3458 -90.8694 Guatemala
|
|||
|
|
Silao 20.9478 -101.4281 Mexico
|
|||
|
|
Brick 40.06 -74.1099 United States
|
|||
|
|
New Britain 41.6759 -72.7862 United States
|
|||
|
|
Cinar 37.7242 40.415 Turkey
|
|||
|
|
Zlin 49.2331 17.6669 Czechia
|
|||
|
|
Izumiotsu 34.5 135.4 Japan
|
|||
|
|
Caninde -4.3586 -39.314 Brazil
|
|||
|
|
Mankono 8.05 -6.1833 Côte d’Ivoire
|
|||
|
|
Le Kram 36.8333 10.3167 Tunisia
|
|||
|
|
Aprilia 41.5833 12.65 Italy
|
|||
|
|
Okegawa 36.0057 139.5427 Japan
|
|||
|
|
Meshgin Shahr 38.3972 47.6739 Iran
|
|||
|
|
Vlaardingen 51.9 4.35 Netherlands
|
|||
|
|
Tamworth 52.633 -1.695 United Kingdom
|
|||
|
|
Samundri 31.0625 72.9542 Pakistan
|
|||
|
|
Dumangas 10.83 122.72 Philippines
|
|||
|
|
Alicia 16.7787 121.6972 Philippines
|
|||
|
|
Di An 10.9039 106.7678 Vietnam
|
|||
|
|
Yurihonjo 39.3859 140.0488 Japan
|
|||
|
|
Ain Oulmene 35.9167 5.3 Algeria
|
|||
|
|
Cunhinga -12.2333 16.7833 Angola
|
|||
|
|
Ajaccio 41.9267 8.7369 France
|
|||
|
|
Haveri 14.7935 75.4045 India
|
|||
|
|
Castrop-Rauxel 51.55 7.3167 Germany
|
|||
|
|
Turkoglu 37.3914 36.8522 Turkey
|
|||
|
|
Beysehir 37.6764 31.7261 Turkey
|
|||
|
|
Yegoryevsk 55.3833 39.05 Russia
|
|||
|
|
Bolingbrook 41.6901 -88.1021 United States
|
|||
|
|
Redmond 47.6763 -122.1169 United States
|
|||
|
|
Caguas 18.2319 -66.0388 Puerto Rico
|
|||
|
|
El Kef 36.1822 8.7147 Tunisia
|
|||
|
|
Gouda 52.0111 4.7111 Netherlands
|
|||
|
|
Mansfield 32.569 -97.1213 United States
|
|||
|
|
Tefe -3.3539 -64.7108 Brazil
|
|||
|
|
Tarn Taran 31.4519 74.9278 India
|
|||
|
|
Nandi Hills 0.1003 35.1764 Kenya
|
|||
|
|
Birobidzhan 48.8 132.9333 Russia
|
|||
|
|
Hoorn 52.65 5.0667 Netherlands
|
|||
|
|
Mangalagiri 16.43 80.55 India
|
|||
|
|
Joao Monlevade -19.81 -43.1739 Brazil
|
|||
|
|
Brandenburg 52.4167 12.5333 Germany
|
|||
|
|
Linares -35.85 -71.6 Chile
|
|||
|
|
Ellicott City 39.2774 -76.8345 United States
|
|||
|
|
Vriddhachalam 11.5 79.33 India
|
|||
|
|
Harrogate 53.9919 -1.5378 United Kingdom
|
|||
|
|
Copacabana 6.3333 -75.5 Colombia
|
|||
|
|
Cao Bang 22.6667 106.2583 Vietnam
|
|||
|
|
Targu Jiu 45.0342 23.2747 Romania
|
|||
|
|
Sheboygan 43.7403 -87.7316 United States
|
|||
|
|
Xindian 25.3093 101.5455 China
|
|||
|
|
Kallakkurichchi 11.738 78.962 India
|
|||
|
|
Irece -11.3039 -42.8558 Brazil
|
|||
|
|
Kasama 36.3452 140.3043 Japan
|
|||
|
|
El Hamma 33.8864 9.7951 Tunisia
|
|||
|
|
Kumluca 36.3667 30.2833 Turkey
|
|||
|
|
Paterna 39.5028 -0.4406 Spain
|
|||
|
|
Bandar-e Genaveh 29.5839 50.5189 Iran
|
|||
|
|
Tupi 6.33 124.95 Philippines
|
|||
|
|
Mansfield 40.7656 -82.5275 United States
|
|||
|
|
Novoaltaysk 53.3833 83.9333 Russia
|
|||
|
|
Lala 7.97 123.75 Philippines
|
|||
|
|
Kasipalaiyam 11.3156 77.7092 India
|
|||
|
|
Glens Falls 43.3109 -73.6458 United States
|
|||
|
|
Troitsk 54.0833 61.5667 Russia
|
|||
|
|
Asti 44.9 8.2069 Italy
|
|||
|
|
Inuyama 35.3786 136.9445 Japan
|
|||
|
|
Pancevo 44.8706 20.6403 Serbia
|
|||
|
|
Jose Abad Santos 5.92 125.65 Philippines
|
|||
|
|
Bagan Si Api-api 2.1667 100.8167 Indonesia
|
|||
|
|
Daytona Beach 29.1995 -81.0982 United States
|
|||
|
|
Reconquista -29.2333 -59.9333 Argentina
|
|||
|
|
Quillota -32.8667 -71.25 Chile
|
|||
|
|
Cannes 43.5513 7.0128 France
|
|||
|
|
Crewe 53.099 -2.44 United Kingdom
|
|||
|
|
Lodi 38.1218 -121.2932 United States
|
|||
|
|
Redlands 34.0512 -117.1712 United States
|
|||
|
|
Tan-Tan 28.4333 -11.1 Morocco
|
|||
|
|
Fada Ngourma 12.05 0.3667 Burkina Faso
|
|||
|
|
Otawara 36.8711 140.0156 Japan
|
|||
|
|
Pacajus -4.1667 -38.4667 Brazil
|
|||
|
|
Shakargarh 32.2628 75.1583 Pakistan
|
|||
|
|
Harrisonburg 38.4362 -78.8735 United States
|
|||
|
|
Ragusa 36.9333 14.75 Italy
|
|||
|
|
Ciudadela -34.6333 -58.5333 Argentina
|
|||
|
|
Bula 13.4694 123.2775 Philippines
|
|||
|
|
Pattukkottai 10.43 79.32 India
|
|||
|
|
Almelo 52.35 6.6667 Netherlands
|
|||
|
|
Gobindgarh 30.6709 76.3019 India
|
|||
|
|
Nabeul 36.4542 10.7347 Tunisia
|
|||
|
|
Edea 3.8 10.1333 Cameroon
|
|||
|
|
Brakpan -26.2353 28.37 South Africa
|
|||
|
|
Nea Smyrni 37.95 23.7167 Greece
|
|||
|
|
Usulutan 13.35 -88.45 El Salvador
|
|||
|
|
Shibukawa 36.3894 139.0633 Japan
|
|||
|
|
Lujan de Cuyo -32.998 -68.873 Argentina
|
|||
|
|
Moa 20.6397 -74.9175 Cuba
|
|||
|
|
Berdychiv 49.9 28.5667 Ukraine
|
|||
|
|
Dothan 31.2336 -85.407 United States
|
|||
|
|
Baghlan 36.1328 68.7 Afghanistan
|
|||
|
|
Chaigoubu 40.6687 114.4157 China
|
|||
|
|
Santa Rosa de Cabal 4.8667 -75.6167 Colombia
|
|||
|
|
Santa Isabel do Para -1.2667 -48.1833 Brazil
|
|||
|
|
Turkmenbasy 40.0167 52.9667 Turkmenistan
|
|||
|
|
Naqadeh 36.9547 45.3881 Iran
|
|||
|
|
Catalca 41.1417 28.4631 Turkey
|
|||
|
|
San Vicente del Caguan 2.1167 -74.7667 Colombia
|
|||
|
|
Jinja 0.4233 33.2039 Uganda
|
|||
|
|
Russas -4.94 -37.9758 Brazil
|
|||
|
|
La Dorada 5.4538 -74.6647 Colombia
|
|||
|
|
Mackay -21.1411 149.1858 Australia
|
|||
|
|
Padre Las Casas -38.7667 -72.6 Chile
|
|||
|
|
Kostiantynivka 48.5333 37.7167 Ukraine
|
|||
|
|
Khomeyn 33.6422 50.0789 Iran
|
|||
|
|
Cleveland 35.1817 -84.8707 United States
|
|||
|
|
Joyo 34.8531 135.78 Japan
|
|||
|
|
Vsevolozhsk 60.0333 30.6667 Russia
|
|||
|
|
Tocoa 15.6833 -86 Honduras
|
|||
|
|
Jackson 35.6538 -88.8354 United States
|
|||
|
|
Mount Vernon 40.9136 -73.8291 United States
|
|||
|
|
Jingzhou 37.6911 116.2672 China
|
|||
|
|
Caserta 41.0667 14.3333 Italy
|
|||
|
|
Chapayevsk 52.9833 49.7167 Russia
|
|||
|
|
Paine -33.8167 -70.75 Chile
|
|||
|
|
San Martin 13.7333 -89.05 El Salvador
|
|||
|
|
Catanauan 13.5917 122.325 Philippines
|
|||
|
|
Spijkenisse 51.85 4.3333 Netherlands
|
|||
|
|
Sodertalje 59.1958 17.6281 Sweden
|
|||
|
|
Centreville 38.839 -77.4389 United States
|
|||
|
|
Huong Tra 16.4675 107.5181 Vietnam
|
|||
|
|
Amparo -22.7031 -46.765 Brazil
|
|||
|
|
Yafran 32.0629 12.5267 Libya
|
|||
|
|
Lappeenranta 61.0667 28.1833 Finland
|
|||
|
|
Carles 11.57 123.13 Philippines
|
|||
|
|
Cascavel -4.1308 -38.2358 Brazil
|
|||
|
|
Sanwal 27.6061 83.6606 Nepal
|
|||
|
|
Rio do Sul -27.2167 -49.65 Brazil
|
|||
|
|
Yukuhashi 33.7289 130.9831 Japan
|
|||
|
|
Sremska Mitrovica 44.97 19.6125 Serbia
|
|||
|
|
Gaspar -26.9333 -48.9667 Brazil
|
|||
|
|
Myslowice 50.2333 19.1333 Poland
|
|||
|
|
Majadahonda 40.4728 -3.8722 Spain
|
|||
|
|
Zhuolu 40.3753 115.215 China
|
|||
|
|
Lanxi 46.2664 126.276 China
|
|||
|
|
San Dionisio 14.4839 120.9925 Philippines
|
|||
|
|
Belovo 54.4167 86.3 Russia
|
|||
|
|
Esmeraldas -19.7628 -44.3139 Brazil
|
|||
|
|
Weligama 5.9739 80.4294 Sri Lanka
|
|||
|
|
Nepalganj 28.05 81.6167 Nepal
|
|||
|
|
Siruguppa 15.6 77 India
|
|||
|
|
Tangalla 6.0167 80.7833 Sri Lanka
|
|||
|
|
Bacacay 13.2925 123.7917 Philippines
|
|||
|
|
Hekinan 34.8847 136.9934 Japan
|
|||
|
|
Ede 52.05 5.6667 Netherlands
|
|||
|
|
Sipalay 9.75 122.4 Philippines
|
|||
|
|
Aschaffenburg 49.9667 9.15 Germany
|
|||
|
|
Dazaifu 33.5167 130.5167 Japan
|
|||
|
|
Samborondon -2.1833 -79.8833 Ecuador
|
|||
|
|
Longkoucun 23.5742 116.7303 China
|
|||
|
|
Alegrete -29.7838 -55.791 Brazil
|
|||
|
|
Keshan 48.0263 125.8659 China
|
|||
|
|
Candeias -12.6678 -38.5508 Brazil
|
|||
|
|
Altoona 40.5082 -78.4007 United States
|
|||
|
|
Sangareddi 17.6294 78.0917 India
|
|||
|
|
Benidorm 38.5342 -0.1314 Spain
|
|||
|
|
Zogbodome 7.0833 2.1 Benin
|
|||
|
|
Marousi 38.05 23.8 Greece
|
|||
|
|
Wood Buffalo 57.6042 -111.3284 Canada
|
|||
|
|
Dambulla 7.8578 80.6525 Sri Lanka
|
|||
|
|
Goya -29.1333 -59.25 Argentina
|
|||
|
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Oroquieta 8.48 123.8 Philippines
|
|||
|
|
Virudunagar 9.568 77.9624 India
|
|||
|
|
Abancay -13.6333 -72.8833 Peru
|
|||
|
|
Penafiel 41.206 -8.284 Portugal
|
|||
|
|
San Fernando 10.17 123.7 Philippines
|
|||
|
|
Palin 14.4039 -90.6986 Guatemala
|
|||
|
|
Turbana 10.2833 -75.45 Colombia
|
|||
|
|
Yoshikawa 35.8939 139.8414 Japan
|
|||
|
|
Santo Antonio do Descoberto -15.9436 -48.2594 Brazil
|
|||
|
|
El Banco 8.9983 -73.9747 Colombia
|
|||
|
|
Warora 20.23 79.0008 India
|
|||
|
|
Casa Nova -9.1619 -40.9708 Brazil
|
|||
|
|
Tibati 6.4667 12.6333 Cameroon
|
|||
|
|
Kirovo-Chepetsk 58.55 50 Russia
|
|||
|
|
Saint-Nazaire 47.2736 -2.2139 France
|
|||
|
|
Sault Ste. Marie 46.5333 -84.35 Canada
|
|||
|
|
Camalig 13.13 123.67 Philippines
|
|||
|
|
Najran 17.4917 44.1322 Saudi Arabia
|
|||
|
|
Belo Tsiribihina -19.7 44.55 Madagascar
|
|||
|
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Myaydo 19.3667 95.2167 Burma
|
|||
|
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Al Lith 20.15 40.2667 Saudi Arabia
|
|||
|
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Bella Vista -34.5333 -58.6667 Argentina
|
|||
|
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Bailongqiaocun 29.0767 119.5517 China
|
|||
|
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Colon 22.7225 -80.9067 Cuba
|
|||
|
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Chaklasi 22.65 72.93 India
|
|||
|
|
Nilanga 18.1161 76.7525 India
|
|||
|
|
Long My 9.6814 105.5708 Vietnam
|
|||
|
|
Borongan 11.6094 125.4361 Philippines
|
|||
|
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San Andres 12.5847 -81.7006 Colombia
|
|||
|
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Wenping 27.193 103.5461 China
|
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|
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Gumaca 13.921 122.1002 Philippines
|
|||
|
|
Stara Pazova 44.9833 20.1667 Serbia
|
|||
|
|
Bocholt 51.8333 6.6167 Germany
|
|||
|
|
Ararangua -28.935 -49.4858 Brazil
|
|||
|
|
Esbjerg 55.4833 8.45 Denmark
|
|||
|
|
Merzifon 40.875 35.4633 Turkey
|
|||
|
|
Goianira -16.5067 -49.4239 Brazil
|
|||
|
|
Chiryu 35.0014 137.0506 Japan
|
|||
|
|
Cacak 43.8833 20.35 Serbia
|
|||
|
|
Quilandi 11.439 75.695 India
|
|||
|
|
Carpi 44.7833 10.8833 Italy
|
|||
|
|
Ludenscheid 51.2167 7.6333 Germany
|
|||
|
|
Lomas del Mirador -34.6667 -58.5297 Argentina
|
|||
|
|
Nanfengcun 23.746 111.7966 China
|
|||
|
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Salama 15.1 -90.2667 Guatemala
|
|||
|
|
Biankouma 7.7333 -7.6167 Côte d’Ivoire
|
|||
|
|
Lisburn 54.512 -6.031 United Kingdom
|
|||
|
|
Rayadrug 14.6997 76.8524 India
|
|||
|
|
Mamoudzou -12.7806 45.2278 Mayotte
|
|||
|
|
Glen Burnie 39.156 -76.6071 United States
|
|||
|
|
Halmstad 56.6739 12.8572 Sweden
|
|||
|
|
Le Bardo 36.8092 10.1406 Tunisia
|
|||
|
|
Binalbagan 10.2 122.87 Philippines
|
|||
|
|
Shahrixon 40.7167 72.05 Uzbekistan
|
|||
|
|
Bilara 26.1792 73.7056 India
|
|||
|
|
Villa Tunari -16.9747 -65.4203 Bolivia
|
|||
|
|
Huanchaco -7.7 -79.4333 Peru
|
|||
|
|
Campo Formoso -10.5089 -40.3208 Brazil
|
|||
|
|
Goa 13.6983 123.4889 Philippines
|
|||
|
|
Drancy 48.93 2.45 France
|
|||
|
|
Rayagada 19.17 83.42 India
|
|||
|
|
Blacksburg 37.23 -80.4279 United States
|
|||
|
|
Talibon 10.12 124.28 Philippines
|
|||
|
|
Las Piedras -34.7167 -56.2167 Uruguay
|
|||
|
|
Ganthier 18.5333 -72.0667 Haiti
|
|||
|
|
Verkhnyaya Pyshma 56.9761 60.5944 Russia
|
|||
|
|
Jinsha 23.5286 116.615 China
|
|||
|
|
Parappanangadi 11.0497 75.8575 India
|
|||
|
|
Konongo 6.6167 -1.2167 Ghana
|
|||
|
|
Wausau 44.962 -89.6459 United States
|
|||
|
|
Sumter 33.9392 -80.393 United States
|
|||
|
|
Gela 37.0667 14.25 Italy
|
|||
|
|
Placetas 22.3158 -79.6556 Cuba
|
|||
|
|
Janesville 42.6854 -89.0135 United States
|
|||
|
|
Melong 5.1211 9.9528 Cameroon
|
|||
|
|
Fernandopolis -20.2839 -50.2458 Brazil
|
|||
|
|
Musashimurayama 35.7548 139.3874 Japan
|
|||
|
|
Brunswick 31.1449 -81.4746 United States
|
|||
|
|
Morong 14.5119 121.2389 Philippines
|
|||
|
|
San Francisco del Rincon 21.0228 -101.86 Mexico
|
|||
|
|
Gibara 21.1072 -76.1367 Cuba
|
|||
|
|
Ratangarh 28.0787 74.6219 India
|
|||
|
|
Tandur 17.2576 77.5875 India
|
|||
|
|
Bakhmut 48.5947 38.0008 Ukraine
|
|||
|
|
Terme 41.2092 36.9739 Turkey
|
|||
|
|
Markapur 15.73 79.26 India
|
|||
|
|
Bunbury -33.3272 115.6369 Australia
|
|||
|
|
Sihanoukville 10.6333 103.5 Cambodia
|
|||
|
|
Mauban 14.1911 121.7308 Philippines
|
|||
|
|
Tejupilco 18.9058 -100.1528 Mexico
|
|||
|
|
Alabang 14.4184 121.0385 Philippines
|
|||
|
|
Goianesia -15.3239 -49.1189 Brazil
|
|||
|
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Dublin 37.7161 -121.8963 United States
|
|||
|
|
Warzat 30.9167 -6.9167 Morocco
|
|||
|
|
Montecristi -1.05 -80.6667 Ecuador
|
|||
|
|
Ayvalik 39.3167 26.6944 Turkey
|
|||
|
|
Nadi -17.8 177.4167 Fiji
|
|||
|
|
Wilmington 39.7415 -75.5416 United States
|
|||
|
|
Zografos 37.9783 23.7717 Greece
|
|||
|
|
An Nu`maniyah 32.5 45.3333 Iraq
|
|||
|
|
Izalco 13.7333 -89.6667 El Salvador
|
|||
|
|
Malaut 30.19 74.499 India
|
|||
|
|
Lowestoft 52.48 1.75 United Kingdom
|
|||
|
|
Waukesha 43.0087 -88.2464 United States
|
|||
|
|
Samraong 14.25 103.5833 Cambodia
|
|||
|
|
Kopargo 9.8375 1.5481 Benin
|
|||
|
|
Phitsanulok 16.8158 100.2636 Thailand
|
|||
|
|
Kodungallur 10.2338 76.1946 India
|
|||
|
|
Corozal 9.3333 -75.25 Colombia
|
|||
|
|
Neyyattinkara 8.4 77.08 India
|
|||
|
|
Kumanovo 42.1322 21.7144 North Macedonia
|
|||
|
|
Dondo -19.6167 34.75 Mozambique
|
|||
|
|
Fairbanks 64.8353 -147.6533 United States
|
|||
|
|
Ejura 7.3833 -1.3667 Ghana
|
|||
|
|
Zinjibar 13.1283 45.3803 Yemen
|
|||
|
|
Sesvete 45.8269 16.1111 Croatia
|
|||
|
|
Erd 47.3784 18.922 Hungary
|
|||
|
|
Zadar 44.1194 15.2319 Croatia
|
|||
|
|
Fatehabad 29.52 75.45 India
|
|||
|
|
Bapatla 15.9044 80.4675 India
|
|||
|
|
Kalamasseri 10.052 76.3158 India
|
|||
|
|
Tumauini 17.27 121.8 Philippines
|
|||
|
|
Izmail 45.3517 28.8364 Ukraine
|
|||
|
|
Ostrow Wielkopolski 51.6494 17.8164 Poland
|
|||
|
|
Lakeville 44.6774 -93.252 United States
|
|||
|
|
St. Charles 38.7954 -90.5157 United States
|
|||
|
|
Sirvan 39.9323 48.9203 Azerbaijan
|
|||
|
|
Al Qurayya 35.0025 40.5117 Syria
|
|||
|
|
Gardez 33.6 69.2169 Afghanistan
|
|||
|
|
Cremona 45.1333 10.0247 Italy
|
|||
|
|
Pavia 45.185 9.1542 Italy
|
|||
|
|
Rugby 52.37 -1.26 United Kingdom
|
|||
|
|
Badvel 14.75 79.05 India
|
|||
|
|
Loule 37.15 -8 Portugal
|
|||
|
|
Redondo Beach 33.8577 -118.3765 United States
|
|||
|
|
Yinying 37.941 113.5602 China
|
|||
|
|
Chiang Rai 19.9094 99.8275 Thailand
|
|||
|
|
Karasu 41.1036 30.6936 Turkey
|
|||
|
|
Poblacion 10.25 123.95 Philippines
|
|||
|
|
Shujaabad 29.8803 71.295 Pakistan
|
|||
|
|
Stafford 52.807 -2.117 United Kingdom
|
|||
|
|
Valparai 10.3276 76.9553 India
|
|||
|
|
Yambol 42.4833 26.5 Bulgaria
|
|||
|
|
Esperanza 19.58 -70.99 Dominican Republic
|
|||
|
|
Djemmal 35.64 10.76 Tunisia
|
|||
|
|
Chingford 51.623 0.009 United Kingdom
|
|||
|
|
Cabudare 10.0331 -69.2633 Venezuela
|
|||
|
|
Sankaranayinar Kovil 9.16 77.55 India
|
|||
|
|
Xangongo -16.7467 14.9747 Angola
|
|||
|
|
Uxbridge 51.5404 -0.4778 United Kingdom
|
|||
|
|
Zenica 44.2039 17.9078 Bosnia and Herzegovina
|
|||
|
|
Chekhov 55.15 37.45 Russia
|
|||
|
|
Bundaberg -24.8661 152.3494 Australia
|
|||
|
|
Suratgarh 29.3177 73.8989 India
|
|||
|
|
Spring Hill 35.7437 -86.9116 United States
|
|||
|
|
Tamana 32.9281 130.5594 Japan
|
|||
|
|
Kaukhali 22.6333 90.0667 Bangladesh
|
|||
|
|
Sig 35.5278 -0.1861 Algeria
|
|||
|
|
Bayonne 40.6668 -74.1158 United States
|
|||
|
|
Coari -4.085 -63.1408 Brazil
|
|||
|
|
Grand Forks 47.9214 -97.0884 United States
|
|||
|
|
Baiquan 47.6018 126.0819 China
|
|||
|
|
Mindelo 16.886 -24.988 Cabo Verde
|
|||
|
|
Capanema -1.1958 -47.1808 Brazil
|
|||
|
|
Pavia 10.775 122.5417 Philippines
|
|||
|
|
Noisy-le-Grand 48.8478 2.5528 France
|
|||
|
|
Yawata-shimizui 34.8756 135.7075 Japan
|
|||
|
|
Linares 24.8597 -99.5647 Mexico
|
|||
|
|
Aliaga 15.5036 120.845 Philippines
|
|||
|
|
Orani 14.8 120.53 Philippines
|
|||
|
|
Dandeli 15.2667 74.6167 India
|
|||
|
|
Santa Maria La Pila 15.6056 -89.8125 Guatemala
|
|||
|
|
Minxiong 23.5504 120.4457 Taiwan
|
|||
|
|
Huwei 23.72 120.4354 Taiwan
|
|||
|
|
Bopa 6.5833 1.9833 Benin
|
|||
|
|
Brumado -14.2036 -41.6653 Brazil
|
|||
|
|
Havirov 49.7831 18.4228 Czechia
|
|||
|
|
Hujra Shah Muqim 30.7333 73.8167 Pakistan
|
|||
|
|
Sa`dah 16.94 43.7592 Yemen
|
|||
|
|
Ban Houayxay 20.2631 100.4336 Laos
|
|||
|
|
Nandura Buzurg 20.8333 76.4597 India
|
|||
|
|
Dimbokro 6.65 -4.7 Côte d’Ivoire
|
|||
|
|
Rizal 15.71 121.1047 Philippines
|
|||
|
|
Tinambac 13.8183 123.3244 Philippines
|
|||
|
|
Pazarcik 37.4894 37.2967 Turkey
|
|||
|
|
Guaynabo 18.3832 -66.1134 Puerto Rico
|
|||
|
|
Celle 52.6256 10.0825 Germany
|
|||
|
|
San Antonio 14.4656 121.0311 Philippines
|
|||
|
|
Sagunto 39.6764 -0.2733 Spain
|
|||
|
|
El Paso de Robles 35.6394 -120.656 United States
|
|||
|
|
Kabirwala 30.4053 71.8681 Pakistan
|
|||
|
|
Thaba Nchu -29.2 26.8333 South Africa
|
|||
|
|
North Richland Hills 32.8604 -97.218 United States
|
|||
|
|
Maple Grove 45.1089 -93.4626 United States
|
|||
|
|
Eniwa 42.8833 141.5833 Japan
|
|||
|
|
Guzhou 25.9452 108.5238 China
|
|||
|
|
Gaura 25.4961 85.9709 India
|
|||
|
|
Mineiros -17.5703 -52.5553 Brazil
|
|||
|
|
Tournai 50.6056 3.3881 Belgium
|
|||
|
|
Bawku 11.05 -0.2333 Ghana
|
|||
|
|
West Des Moines 41.5521 -93.7806 United States
|
|||
|
|
Yuriria 20.2 -101.15 Mexico
|
|||
|
|
Mineral de la Reforma 20.15 -98.4333 Mexico
|
|||
|
|
Indang 14.2 120.88 Philippines
|
|||
|
|
Sabae 35.9565 136.1843 Japan
|
|||
|
|
Alamada 7.3868 124.5534 Philippines
|
|||
|
|
Isna 25.3 32.55 Egypt
|
|||
|
|
Venancio Aires -29.6 -52.1833 Brazil
|
|||
|
|
Pozarevac 44.6167 21.1833 Serbia
|
|||
|
|
Kayankulam 9.172 76.501 India
|
|||
|
|
Velsen-Zuid 52.4667 4.6167 Netherlands
|
|||
|
|
Dalton 34.769 -84.972 United States
|
|||
|
|
Dubuque 42.5002 -90.707 United States
|
|||
|
|
Jarabacoa 19.1167 -70.6333 Dominican Republic
|
|||
|
|
Paradip Garh 20.316 86.61 India
|
|||
|
|
Apac 1.985 32.535 Uganda
|
|||
|
|
Shashijie 28.3458 113.424 China
|
|||
|
|
Pongnam 37.22 126.9494 Korea
|
|||
|
|
Islahiye 37.025 36.6345 Turkey
|
|||
|
|
Shawnee 39.0158 -94.8076 United States
|
|||
|
|
Modasa 23.47 73.3 India
|
|||
|
|
Santa Barbara 10.8231 122.5344 Philippines
|
|||
|
|
Banepa 27.6297 85.5203 Nepal
|
|||
|
|
Youssoufia 32.25 -8.5333 Morocco
|
|||
|
|
Vaasa 63.1 21.6167 Finland
|
|||
|
|
Santa Catarina Otzolotepec 18.5667 -97.25 Mexico
|
|||
|
|
Heroica Caborca 30.7167 -112.15 Mexico
|
|||
|
|
Molepolole -24.4067 25.495 Botswana
|
|||
|
|
Walsall 52.58 -1.98 United Kingdom
|
|||
|
|
Manaure 11.7792 -72.4494 Colombia
|
|||
|
|
Kovel 51.2167 24.7167 Ukraine
|
|||
|
|
Abnub 27.2667 31.15 Egypt
|
|||
|
|
Zigon 18.3385 95.623 Burma
|
|||
|
|
Gauravaram 17.1 80.6 India
|
|||
|
|
Bergen op Zoom 51.5 4.3 Netherlands
|
|||
|
|
San Marcos 29.8734 -97.9356 United States
|
|||
|
|
Aregua -25.2953 -57.4147 Paraguay
|
|||
|
|
Ayolas -27.4 -56.9 Paraguay
|
|||
|
|
Herford 52.1333 8.6833 Germany
|
|||
|
|
Sausar 21.65 78.78 India
|
|||
|
|
Yuquan 40.4203 114.0864 China
|
|||
|
|
Taman Senai 1.5833 103.6333 Malaysia
|
|||
|
|
Omidiyeh 30.7583 49.705 Iran
|
|||
|
|
Huajing 31.1194 121.4519 China
|
|||
|
|
Dhenkanal 20.67 85.6 India
|
|||
|
|
Zihuatanejo 17.6444 -101.5511 Mexico
|
|||
|
|
Chicacao 14.5333 -91.3167 Guatemala
|
|||
|
|
Fuefuki 35.6473 138.6397 Japan
|
|||
|
|
Urun-Islampur 17.05 74.267 India
|
|||
|
|
Rolandia -23.3 -51.3667 Brazil
|
|||
|
|
Calais 50.9481 1.8564 France
|
|||
|
|
Stargard Szczecinski 53.3333 15.0333 Poland
|
|||
|
|
Gopalganj 26.47 84.43 India
|
|||
|
|
Itapema -27.09 -48.6108 Brazil
|
|||
|
|
Ankazoabokely -21.5036 45.2094 Madagascar
|
|||
|
|
Capelle aan den IJssel 51.9333 4.5833 Netherlands
|
|||
|
|
Tome-Acu -2.4167 -48.15 Brazil
|
|||
|
|
Great Falls 47.5022 -111.2996 United States
|
|||
|
|
Cuilco 15.4 -91.9667 Guatemala
|
|||
|
|
Tolanaro -25.0325 46.9833 Madagascar
|
|||
|
|
Lala Musa 32.7003 73.9578 Pakistan
|
|||
|
|
Russelsheim 50 8.4333 Germany
|
|||
|
|
Haverhill 42.7838 -71.0871 United States
|
|||
|
|
Asela 7.95 39.1167 Ethiopia
|
|||
|
|
Sousa -6.7608 -38.2308 Brazil
|
|||
|
|
Union City 40.7675 -74.0323 United States
|
|||
|
|
Seguela 7.9667 -6.6667 Côte d’Ivoire
|
|||
|
|
Shiojiri 36.115 137.9534 Japan
|
|||
|
|
Kerpen 50.8719 6.6961 Germany
|
|||
|
|
Palatine 42.118 -88.043 United States
|
|||
|
|
Longview 46.1461 -122.963 United States
|
|||
|
|
Corvallis 44.5698 -123.2779 United States
|
|||
|
|
Bay 14.18 121.28 Philippines
|
|||
|
|
Tabatinga -4.2525 -69.9381 Brazil
|
|||
|
|
Wanggezhuang 39.5683 116.5941 China
|
|||
|
|
Washington 54.9 -1.52 United Kingdom
|
|||
|
|
Lushar 36.4971 101.564 China
|
|||
|
|
Rockville 39.0834 -77.1553 United States
|
|||
|
|
Nea Ionia 38.0333 23.75 Greece
|
|||
|
|
Zrenjanin 45.3833 20.3894 Serbia
|
|||
|
|
Szolnok 47.1747 20.1965 Hungary
|
|||
|
|
Old Bridge 40.4004 -74.3126 United States
|
|||
|
|
Liepaja 56.5117 21.0139 Latvia
|
|||
|
|
Chipindo -13.8244 15.8 Angola
|
|||
|
|
Waltham 42.3889 -71.2423 United States
|
|||
|
|
Faizabad 37.1166 70.58 Afghanistan
|
|||
|
|
Sangzishi 27.6675 111.3706 China
|
|||
|
|
Seydisehir 37.4183 31.8506 Turkey
|
|||
|
|
Oued Rhiou 35.9667 0.9167 Algeria
|
|||
|
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Kensington 51.5 -0.19 United Kingdom
|
|||
|
|
Siemianowice Slaskie 50.2758 18.9858 Poland
|
|||
|
|
Meulaboh 4.1333 96.1167 Indonesia
|
|||
|
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Marinilla 6.1738 -75.3347 Colombia
|
|||
|
|
Gerli -34.6833 -58.3667 Argentina
|
|||
|
|
Santo Domingo Tehuantepec 16.3244 -95.2389 Mexico
|
|||
|
|
Binga 2.4 20.42 Congo (Kinshasa)
|
|||
|
|
Fredericton 45.9636 -66.6431 Canada
|
|||
|
|
Boston 52.974 -0.0214 United Kingdom
|
|||
|
|
Grevenbroich 51.0883 6.5875 Germany
|
|||
|
|
Lechang 35.6415 111.4633 China
|
|||
|
|
Faro 37.0161 -7.935 Portugal
|
|||
|
|
Pirane -25.7328 -59.11 Argentina
|
|||
|
|
Narapalli 17.4875 78.6012 India
|
|||
|
|
Fujioka 36.2587 139.0746 Japan
|
|||
|
|
Tulkarm 32.3125 35.0267 West Bank
|
|||
|
|
Pflugerville 30.4515 -97.6018 United States
|
|||
|
|
Isabela 10.2 122.98 Philippines
|
|||
|
|
Hilongos 10.37 124.75 Philippines
|
|||
|
|
Arrecife 28.9625 -13.5506 Spain
|
|||
|
|
Palitana 21.52 71.83 India
|
|||
|
|
Roeselare 50.9333 3.1167 Belgium
|
|||
|
|
Valence 44.9333 4.8917 France
|
|||
|
|
Rivera -30.9025 -55.5506 Uruguay
|
|||
|
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Rahat 31.3925 34.7544 Israel
|
|||
|
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Itamaraju -17.0667 -39.5333 Brazil
|
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North Little Rock 34.7807 -92.2371 United States
|
|||
|
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Al Qurayn 30.6161 31.7353 Egypt
|
|||
|
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Dharmapuri 12.1211 78.1582 India
|
|||
|
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Apaseo el Alto 20.45 -100.6167 Mexico
|
|||
|
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Brentwood 37.9356 -121.719 United States
|
|||
|
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Sokhumi 43 41.0167 Georgia
|
|||
|
|
Idappadi 11.5835 77.8341 India
|
|||
|
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Hiriyur 13.9446 76.6172 India
|
|||
|
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Porto Nacional -10.7078 -48.4169 Brazil
|
|||
|
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Paignton 50.4353 -3.5625 United Kingdom
|
|||
|
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Potenza 40.6333 15.8 Italy
|
|||
|
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Rosenheim 47.85 12.1333 Germany
|
|||
|
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Chunian 30.9639 73.9803 Pakistan
|
|||
|
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Malvar 14.0417 121.1583 Philippines
|
|||
|
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Santiago Tianguistenco 19.1797 -99.4706 Mexico
|
|||
|
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Martil 35.6167 -5.2667 Morocco
|
|||
|
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Waterlooville 50.88 -1.03 United Kingdom
|
|||
|
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Sirsi 28.64 78.64 India
|
|||
|
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Sibulan 9.35 123.28 Philippines
|
|||
|
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Povoa de Varzim 41.38 -8.7608 Portugal
|
|||
|
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Ash Shaykh Zuwayd 31.2119 34.1106 Egypt
|
|||
|
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Chervonohrad 50.3867 24.2289 Ukraine
|
|||
|
|
Saravia 10.88 122.97 Philippines
|
|||
|
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Seraing 50.5833 5.5 Belgium
|
|||
|
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Glogow 51.6589 16.0803 Poland
|
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|
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Atimonan 14.0036 121.9199 Philippines
|
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|
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Laguna Niguel 33.5275 -117.705 United States
|
|||
|
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Ambarawa -7.2667 110.4 Indonesia
|
|||
|
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Misantla 19.9333 -96.85 Mexico
|
|||
|
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Kodad 16.9978 79.9653 India
|
|||
|
|
San Clemente 33.4499 -117.6102 United States
|
|||
|
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Alba Iulia 46.0669 23.57 Romania
|
|||
|
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Sangmelima 2.9333 11.9833 Cameroon
|
|||
|
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Cienaga de Oro 8.8833 -75.6167 Colombia
|
|||
|
|
Bertioga -23.8547 -46.1389 Brazil
|
|||
|
|
Vacaria -28.5122 -50.9339 Brazil
|
|||
|
|
Qinggang 46.69 126.1 China
|
|||
|
|
Ghardimaou 36.45 8.4333 Tunisia
|
|||
|
|
Seinajoki 62.7917 22.8417 Finland
|
|||
|
|
Tadepalle 16.4803 80.6186 India
|
|||
|
|
Grande Prairie 55.1708 -118.7947 Canada
|
|||
|
|
Welkom -27.9831 26.7208 South Africa
|
|||
|
|
Qal`ah-ye Now 34.9867 63.1292 Afghanistan
|
|||
|
|
San Felipe -32.75 -70.7239 Chile
|
|||
|
|
Yanagawa 33.1631 130.4058 Japan
|
|||
|
|
Niksar 40.5917 36.9517 Turkey
|
|||
|
|
Pomezia 41.6833 12.5 Italy
|
|||
|
|
Siuna 13.7333 -84.7667 Nicaragua
|
|||
|
|
Asbest 57 61.4667 Russia
|
|||
|
|
Burnsville 44.7648 -93.2793 United States
|
|||
|
|
Teresa 14.5586 121.2083 Philippines
|
|||
|
|
Randers 56.457 10.039 Denmark
|
|||
|
|
Armur 18.79 78.29 India
|
|||
|
|
Simav 39.0833 28.9833 Turkey
|
|||
|
|
Ivry-sur-Seine 48.8078 2.3747 France
|
|||
|
|
Horad Zhodzina 54.1 28.35 Belarus
|
|||
|
|
Guiseley 53.875 -1.706 United Kingdom
|
|||
|
|
Neubrandenburg 53.5569 13.2611 Germany
|
|||
|
|
Sodegaura 35.43 139.9544 Japan
|
|||
|
|
Tiquisate 14.2833 -91.3667 Guatemala
|
|||
|
|
Tuao 17.735 121.4553 Philippines
|
|||
|
|
Bankra 22.63 88.3 India
|
|||
|
|
Nawalgarh 27.8458 75.268 India
|
|||
|
|
Spring 30.0613 -95.383 United States
|
|||
|
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Tupa -21.9347 -50.5136 Brazil
|
|||
|
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Port Charlotte 26.9918 -82.114 United States
|
|||
|
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Camocim -2.9019 -40.8408 Brazil
|
|||
|
|
Ferrol 43.4844 -8.2328 Spain
|
|||
|
|
Bognor Regis 50.7824 -0.6764 United Kingdom
|
|||
|
|
Tohana 29.7 75.9 India
|
|||
|
|
Nieuwegein 52.0333 5.0833 Netherlands
|
|||
|
|
Most 50.5031 13.6367 Czechia
|
|||
|
|
Penedo -10.29 -36.5858 Brazil
|
|||
|
|
Santa Cruz 15.77 119.92 Philippines
|
|||
|
|
Inhambane -23.865 35.3833 Mozambique
|
|||
|
|
Songkhla 7.2061 100.5967 Thailand
|
|||
|
|
Sibalom 10.7883 122.0175 Philippines
|
|||
|
|
Trnava 48.3775 17.5883 Slovakia
|
|||
|
|
Kangbao 41.8511 114.6176 China
|
|||
|
|
La Linea de la Concepcion 36.1681 -5.3486 Spain
|
|||
|
|
Khagaul 25.579 85.0456 India
|
|||
|
|
Tenri 34.5967 135.8372 Japan
|
|||
|
|
Dalja 27.65 30.7 Egypt
|
|||
|
|
Ponferrada 42.55 -6.5833 Spain
|
|||
|
|
Magong 23.5667 119.5833 Taiwan
|
|||
|
|
Zarand 30.8108 56.5658 Iran
|
|||
|
|
Odendaalsrus -27.8667 26.6833 South Africa
|
|||
|
|
Guamuchil 25.4639 -108.0794 Mexico
|
|||
|
|
Chakpi Karong 24.3167 93.9833 India
|
|||
|
|
Sundapalaiyam 11.0014 76.8732 India
|
|||
|
|
Fraijanes 14.4667 -90.4333 Guatemala
|
|||
|
|
Bourges 47.0844 2.3964 France
|
|||
|
|
Jatani 20.17 85.7 India
|
|||
|
|
Chokwe -24.5253 33.0086 Mozambique
|
|||
|
|
Kurihara 38.7301 141.0215 Japan
|
|||
|
|
Zvornik 44.3842 19.1025 Bosnia and Herzegovina
|
|||
|
|
Nawa 32.8889 36.0431 Syria
|
|||
|
|
Chincha Alta -13.45 -76.1333 Peru
|
|||
|
|
Jose Panganiban 14.2922 122.6928 Philippines
|
|||
|
|
Chik Ballapur 13.43 77.72 India
|
|||
|
|
Guiglo 6.55 -7.4833 Côte d’Ivoire
|
|||
|
|
Quimper 47.9967 -4.0964 France
|
|||
|
|
Donskoy 53.9658 38.3247 Russia
|
|||
|
|
Athni 16.73 75.07 India
|
|||
|
|
Eden Prairie 44.8488 -93.4595 United States
|
|||
|
|
Dedougou 12.4667 -3.4667 Burkina Faso
|
|||
|
|
Fredrikstad 59.2053 10.95 Norway
|
|||
|
|
Paphos 34.7667 32.4167 Cyprus
|
|||
|
|
Capao da Canoa -29.7667 -50.0167 Brazil
|
|||
|
|
Hornchurch 51.5565 0.2128 United Kingdom
|
|||
|
|
Assi Bou Nif 35.7 -0.5 Algeria
|
|||
|
|
Maidenhead 51.5217 -0.7177 United Kingdom
|
|||
|
|
Greenwood 39.6019 -86.1073 United States
|
|||
|
|
Yangqingcun 21.3594 110.1164 China
|
|||
|
|
Benevides -1.3667 -48.25 Brazil
|
|||
|
|
Lower Merion 40.0282 -75.2807 United States
|
|||
|
|
At Tall 33.6 36.3 Syria
|
|||
|
|
Midoun 33.8 11 Tunisia
|
|||
|
|
Millcreek 40.6892 -111.8292 United States
|
|||
|
|
Yattir 31.4478 35.09 West Bank
|
|||
|
|
Asahi 35.7167 140.65 Japan
|
|||
|
|
Slatina 44.4297 24.3642 Romania
|
|||
|
|
Bhairahawa 27.5 83.45 Nepal
|
|||
|
|
Badr Hunayn 23.78 38.7906 Saudi Arabia
|
|||
|
|
Khulays 22.1539 39.3183 Saudi Arabia
|
|||
|
|
Korydallos 37.9833 23.65 Greece
|
|||
|
|
Pokrovsk 48.2828 37.1828 Ukraine
|
|||
|
|
Rundu -17.9167 19.7667 Namibia
|
|||
|
|
Tajumulco 15.0833 -91.8833 Guatemala
|
|||
|
|
Akurana 7.365 80.6172 Sri Lanka
|
|||
|
|
Mitcham 51.4009 -0.1517 United Kingdom
|
|||
|
|
Medicine Hat 50.0417 -110.6775 Canada
|
|||
|
|
Pervomaisk 48.0439 30.85 Ukraine
|
|||
|
|
Feltham 51.4496 -0.4089 United Kingdom
|
|||
|
|
Ito 34.9657 139.1019 Japan
|
|||
|
|
Dhuburi 26.02 90 India
|
|||
|
|
Fujiidera 34.5667 135.6 Japan
|
|||
|
|
Mirassol -20.8189 -49.5208 Brazil
|
|||
|
|
Bellevue 41.1485 -95.939 United States
|
|||
|
|
Vittoria 36.95 14.5333 Italy
|
|||
|
|
Prilep 41.3464 21.5542 North Macedonia
|
|||
|
|
Stourbridge 52.4575 -2.1479 United Kingdom
|
|||
|
|
Coon Rapids 45.1755 -93.3094 United States
|
|||
|
|
Rowlett 32.9155 -96.5489 United States
|
|||
|
|
Mercedes -34.65 -59.4333 Argentina
|
|||
|
|
Galgamuwa 8 80.2831 Sri Lanka
|
|||
|
|
Ban Lam Sam Kaeo 13.9728 100.6511 Thailand
|
|||
|
|
Abu Qurqas 27.9333 30.8333 Egypt
|
|||
|
|
Kitale 1.0167 35 Kenya
|
|||
|
|
Cajazeiras -6.89 -38.5619 Brazil
|
|||
|
|
Ouled Djellal 34.4167 5.0667 Algeria
|
|||
|
|
Antony 48.7539 2.2975 France
|
|||
|
|
Banda del Rio Sali -26.85 -65.1667 Argentina
|
|||
|
|
Gorno-Altaysk 51.95 85.9667 Russia
|
|||
|
|
Volsk 52.05 47.3833 Russia
|
|||
|
|
San Marcos 13.5833 -89.2167 El Salvador
|
|||
|
|
Anuradhapura 8.335 80.4108 Sri Lanka
|
|||
|
|
Svyetlahorsk 52.6333 29.7333 Belarus
|
|||
|
|
Tartagal -22.5 -63.8333 Argentina
|
|||
|
|
Lugano 46.005 8.9525 Switzerland
|
|||
|
|
Gadwal 16.23 77.8 India
|
|||
|
|
Tetovo 42.0103 20.9714 North Macedonia
|
|||
|
|
Horsens 55.8583 9.85 Denmark
|
|||
|
|
Rockhampton -23.3781 150.5136 Australia
|
|||
|
|
Hamilton 39.3939 -84.5653 United States
|
|||
|
|
Lakewood 47.1628 -122.5299 United States
|
|||
|
|
Qurayyat 23.32 58.908 Oman
|
|||
|
|
Florence-Graham 33.9682 -118.2447 United States
|
|||
|
|
Teoloyucan 19.7442 -99.1811 Mexico
|
|||
|
|
Sidi Barani 31.6108 25.9256 Egypt
|
|||
|
|
Granollers 41.608 2.288 Spain
|
|||
|
|
Novaya Balakhna 56.4899 43.6011 Russia
|
|||
|
|
Nankana Sahib 31.45 73.7067 Pakistan
|
|||
|
|
Visnagar 23.7 72.55 India
|
|||
|
|
Puerto Asis 0.5167 -76.5 Colombia
|
|||
|
|
Nago 26.5917 127.9775 Japan
|
|||
|
|
Commerce City 39.8641 -104.843 United States
|
|||
|
|
San Fernando 7.9178 125.3286 Philippines
|
|||
|
|
Vaslui 46.6383 27.7292 Romania
|
|||
|
|
Pamuru 15.097 79.409 India
|
|||
|
|
Caldiran 39.1419 43.9139 Turkey
|
|||
|
|
Kasongo -4.45 26.65 Congo (Kinshasa)
|
|||
|
|
Kaga 36.3028 136.315 Japan
|
|||
|
|
Rochester 51.375 0.5 United Kingdom
|
|||
|
|
Batatais -20.8911 -47.585 Brazil
|
|||
|
|
Bossier City 32.5224 -93.6668 United States
|
|||
|
|
Miyoshi 35.0894 137.0748 Japan
|
|||
|
|
Pabianice 51.65 19.3833 Poland
|
|||
|
|
Halton Hills 43.63 -79.95 Canada
|
|||
|
|
Beledweyne 4.7358 45.2036 Somalia
|
|||
|
|
Dewsbury 53.691 -1.633 United Kingdom
|
|||
|
|
Taylor 42.226 -83.2688 United States
|
|||
|
|
Klintsy 52.75 32.2333 Russia
|
|||
|
|
Friedrichshafen 47.65 9.4833 Germany
|
|||
|
|
Sheikhpura 25.1403 85.8508 India
|
|||
|
|
Narlidere 38.3911 27.0028 Turkey
|
|||
|
|
Marina di Carrara 44.0792 10.1 Italy
|
|||
|
|
Irun 43.3378 -1.7888 Spain
|
|||
|
|
Mahdasht 35.7194 50.7978 Iran
|
|||
|
|
La Habra 33.9282 -117.9515 United States
|
|||
|
|
Yurimaguas -5.9 -76.0833 Peru
|
|||
|
|
Campo Bom -29.6789 -51.0528 Brazil
|
|||
|
|
Balboa Heights 8.95 -79.55 Panama
|
|||
|
|
Sirsi 14.6194 74.8375 India
|
|||
|
|
Washim 20.1113 77.133 India
|
|||
|
|
Calinog 11.13 122.5 Philippines
|
|||
|
|
Mut 36.6458 33.4375 Turkey
|
|||
|
|
Port Orange 29.1085 -81.0137 United States
|
|||
|
|
Palmela 38.5667 -8.9 Portugal
|
|||
|
|
Rossosh 50.2 39.55 Russia
|
|||
|
|
Moncada 15.7331 120.5725 Philippines
|
|||
|
|
Balad 34.0164 44.1453 Iraq
|
|||
|
|
Itupeva -23.1531 -47.0578 Brazil
|
|||
|
|
Gampaha 7.0917 79.9997 Sri Lanka
|
|||
|
|
Woking 51.305 -0.539 United Kingdom
|
|||
|
|
Troyes 48.2997 4.0792 France
|
|||
|
|
Nanpara 27.87 81.5 India
|
|||
|
|
Tan Phuoc Khanh 11 106.7167 Vietnam
|
|||
|
|
Castellammare di Stabia 40.6947 14.4803 Italy
|
|||
|
|
La Seyne-sur-Mer 43.1 5.883 France
|
|||
|
|
Bansalan 6.78 125.22 Philippines
|
|||
|
|
Champasak 14.8569 105.7533 Laos
|
|||
|
|
Bari 26.63 77.62 India
|
|||
|
|
Pavlovskiy Posad 55.7667 38.6667 Russia
|
|||
|
|
Lingshou 38.3064 114.3783 China
|
|||
|
|
Qoryooley 1.7833 44.5333 Somalia
|
|||
|
|
Gusang 28.2864 113.7424 China
|
|||
|
|
Brookline 42.3243 -71.1408 United States
|
|||
|
|
Revda 56.8053 59.9283 Russia
|
|||
|
|
Moore 35.3293 -97.4757 United States
|
|||
|
|
Koro 14.0683 -3.0814 Mali
|
|||
|
|
Council Bluffs 41.2369 -95.8516 United States
|
|||
|
|
Tandag 9.0789 126.1986 Philippines
|
|||
|
|
Boadilla del Monte 40.4069 -3.875 Spain
|
|||
|
|
Ico -6.4008 -38.8619 Brazil
|
|||
|
|
Carmen de Viboral 6.0833 -75.3333 Colombia
|
|||
|
|
Kapatagan 7.9 123.77 Philippines
|
|||
|
|
Bensalem 40.1086 -74.9431 United States
|
|||
|
|
Anse a Galets 18.8333 -72.8667 Haiti
|
|||
|
|
Leninogorsk 54.6 52.5 Russia
|
|||
|
|
Sittingbourne 51.34 0.74 United Kingdom
|
|||
|
|
Leander 30.5728 -97.8618 United States
|
|||
|
|
Acton 51.5135 -0.2707 United Kingdom
|
|||
|
|
Dearborn Heights 42.3164 -83.2769 United States
|
|||
|
|
Herten 51.6 7.1333 Germany
|
|||
|
|
Nagakute 35.184 137.0487 Japan
|
|||
|
|
Kilis 36.7167 37.1167 Turkey
|
|||
|
|
Mobarakeh 32.3494 51.5 Iran
|
|||
|
|
Portel -1.9358 -50.8208 Brazil
|
|||
|
|
Ain Harrouda 33.6372 -7.4483 Morocco
|
|||
|
|
Rovaniemi 66.5 25.7333 Finland
|
|||
|
|
Wenxicun 28.1565 120.3824 China
|
|||
|
|
Bergheim 50.9667 6.65 Germany
|
|||
|
|
Berekum 7.45 -2.5833 Ghana
|
|||
|
|
Ranipet 12.9247 79.3333 India
|
|||
|
|
Ambilobe -13.2 49.05 Madagascar
|
|||
|
|
Wundanyi -3.3983 38.3603 Kenya
|
|||
|
|
Reston 38.9497 -77.3461 United States
|
|||
|
|
Kolding 55.4917 9.5 Denmark
|
|||
|
|
Schwabisch Gmund 48.8 9.8 Germany
|
|||
|
|
Kesamudram 17.6875 79.8944 India
|
|||
|
|
Villa Dominico -34.6917 -58.3333 Argentina
|
|||
|
|
Ras Tanura 26.65 50.1667 Saudi Arabia
|
|||
|
|
Puerto Penasco 31.3167 -113.5369 Mexico
|
|||
|
|
Bainet 18.1833 -72.75 Haiti
|
|||
|
|
Riosucio 5.4208 -75.7025 Colombia
|
|||
|
|
Shangtangcun 21.5989 111.5907 China
|
|||
|
|
Boryspil 50.35 30.95 Ukraine
|
|||
|
|
Tuapse 44.1044 39.0772 Russia
|
|||
|
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Carazinho -28.2839 -52.7858 Brazil
|
|||
|
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Kolda 12.8833 -14.95 Senegal
|
|||
|
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Nagari 13.3214 79.5856 India
|
|||
|
|
Cristalina -16.7689 -47.6156 Brazil
|
|||
|
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Zelenogorsk 56.1 94.5833 Russia
|
|||
|
|
Napier -39.4903 176.9178 New Zealand
|
|||
|
|
Sherkot 29.35 78.58 India
|
|||
|
|
Tighenif 35.4167 0.3333 Algeria
|
|||
|
|
Santarem 39.2339 -8.6861 Portugal
|
|||
|
|
Asaka 40.6333 72.2333 Uzbekistan
|
|||
|
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Camaqua -30.85 -51.8167 Brazil
|
|||
|
|
Panchari Bazar 23.29 91.9 Bangladesh
|
|||
|
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Bannu 32.9864 70.6044 Pakistan
|
|||
|
|
Cyuve -1.4833 29.65 Rwanda
|
|||
|
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Boituva -23.2833 -47.6722 Brazil
|
|||
|
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Raghogarh 24.4442 77.1986 India
|
|||
|
|
Chidambaram 11.407 79.6912 India
|
|||
|
|
Twickenham 51.449 -0.337 United Kingdom
|
|||
|
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Agia Paraskevi 38.0117 23.82 Greece
|
|||
|
|
Analavory -18.9667 46.7167 Madagascar
|
|||
|
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Figueira da Foz 40.15 -8.85 Portugal
|
|||
|
|
Aurora 13.35 122.52 Philippines
|
|||
|
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Narwana 29.6167 76.1117 India
|
|||
|
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Vigevano 45.3167 8.8667 Italy
|
|||
|
|
North Bergen 40.7938 -74.0242 United States
|
|||
|
|
Trikala 39.55 21.7667 Greece
|
|||
|
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Cabaret 18.7333 -72.4167 Haiti
|
|||
|
|
Aurora 44 -79.4667 Canada
|
|||
|
|
Montebello 34.0155 -118.1108 United States
|
|||
|
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Okha 22.4667 69.0667 India
|
|||
|
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Zaraza 9.3394 -65.3167 Venezuela
|
|||
|
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Nova Odessa -22.78 -47.2989 Brazil
|
|||
|
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Meshkin Dasht 35.7469 50.9361 Iran
|
|||
|
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Naro-Fominsk 55.3833 36.7667 Russia
|
|||
|
|
San Francisco -31.4356 -62.0714 Argentina
|
|||
|
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Viedma -40.8 -63 Argentina
|
|||
|
|
Sihushan 28.9716 112.6413 China
|
|||
|
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Bhabhua 25.05 83.62 India
|
|||
|
|
Koshizuka 32.886 130.7897 Japan
|
|||
|
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Manicaragua 22.15 -79.9764 Cuba
|
|||
|
|
Rouiba 36.7333 3.2833 Algeria
|
|||
|
|
Tendo 38.3623 140.3779 Japan
|
|||
|
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Borj el Qoble 33.2631 35.2389 Lebanon
|
|||
|
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Pontiac 42.6493 -83.2878 United States
|
|||
|
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Arua 3.0353 30.9108 Uganda
|
|||
|
|
Nanjangud 12.12 76.68 India
|
|||
|
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Camotan 14.8167 -89.3817 Guatemala
|
|||
|
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Mongagua -24.0875 -46.6289 Brazil
|
|||
|
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Encinitas 33.0492 -117.261 United States
|
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|
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Tagajo 38.2938 141.0043 Japan
|
|||
|
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Yongbei 26.6897 100.7463 China
|
|||
|
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Menzel Bourguiba 37.15 9.7833 Tunisia
|
|||
|
|
Montauban 44.0181 1.3558 France
|
|||
|
|
Rayong 12.6742 101.2789 Thailand
|
|||
|
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Cambanugoy 7.5386 125.7508 Philippines
|
|||
|
|
Satbayev 47.9 67.5333 Kazakhstan
|
|||
|
|
Zengqiao 27.5153 112.2336 China
|
|||
|
|
Siddhapur 23.9167 72.3833 India
|
|||
|
|
Plato 9.7919 -74.7872 Colombia
|
|||
|
|
Polevskoy 56.45 60.1833 Russia
|
|||
|
|
Mitoyo 34.1825 133.715 Japan
|
|||
|
|
Derik 37.3658 40.2697 Turkey
|
|||
|
|
Zory 50.05 18.7 Poland
|
|||
|
|
Kotlas 61.25 46.6333 Russia
|
|||
|
|
Sao Miguel dos Campos -9.7808 -36.0939 Brazil
|
|||
|
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Leszno 51.8458 16.5806 Poland
|
|||
|
|
Runcorn 53.3417 -2.7313 United Kingdom
|
|||
|
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Nakhyaungcharipara 21.4167 92.1833 Bangladesh
|
|||
|
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Queen Creek 33.2454 -111.6173 United States
|
|||
|
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Nkawkaw 6.55 -0.7667 Ghana
|
|||
|
|
Camabatela -8.1833 15.3667 Angola
|
|||
|
|
Borisoglebsk 51.3667 42.0833 Russia
|
|||
|
|
Hita 33.3214 130.9411 Japan
|
|||
|
|
Lysva 58.1003 57.8042 Russia
|
|||
|
|
Saraburi 14.5286 100.9114 Thailand
|
|||
|
|
Medford 42.4234 -71.1087 United States
|
|||
|
|
Springfield 44.0538 -122.9811 United States
|
|||
|
|
Morada Nova -5.1069 -38.3728 Brazil
|
|||
|
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Naj` Hammadi 26.05 32.25 Egypt
|
|||
|
|
Jhargram 22.45 86.98 India
|
|||
|
|
Afragola 40.9167 14.3167 Italy
|
|||
|
|
Santo Amaro -12.5469 -38.7119 Brazil
|
|||
|
|
Yangiyul 41.1125 69.0467 Uzbekistan
|
|||
|
|
Bezerros -8.2353 -35.7528 Brazil
|
|||
|
|
Sungo -11.2333 14.3167 Angola
|
|||
|
|
Penapolis -21.4197 -50.0775 Brazil
|
|||
|
|
Kapchagay 43.8833 77.0833 Kazakhstan
|
|||
|
|
Shiroi 35.7915 140.0563 Japan
|
|||
|
|
Offenburg 48.4667 7.9333 Germany
|
|||
|
|
Xiluodu 28.236 103.6301 China
|
|||
|
|
Cortazar 20.4828 -100.9611 Mexico
|
|||
|
|
Praia 14.918 -23.509 Cabo Verde
|
|||
|
|
Kolea 36.6406 2.765 Algeria
|
|||
|
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San Juan Chamelco 15.4257 -90.3263 Guatemala
|
|||
|
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San Antonio del Tachira 7.8167 -72.45 Venezuela
|
|||
|
|
Plymouth 41.8783 -70.6309 United States
|
|||
|
|
Karonga -9.9333 33.9333 Malawi
|
|||
|
|
Wrecsam 53.046 -2.993 United Kingdom
|
|||
|
|
Sayyid Sadiq 35.3536 45.8667 Iraq
|
|||
|
|
Valle de Bravo 19.1925 -100.1306 Mexico
|
|||
|
|
Hendersonville 36.3063 -86.5997 United States
|
|||
|
|
Palm Harbor 28.0847 -82.7481 United States
|
|||
|
|
Hato Mayor 18.7667 -69.25 Dominican Republic
|
|||
|
|
Extremoz -5.7 -35.3 Brazil
|
|||
|
|
Pico Rivera 33.9901 -118.0888 United States
|
|||
|
|
Cayenne 4.933 -52.33 French Guiana
|
|||
|
|
May Pen 17.965 -77.245 Jamaica
|
|||
|
|
Santa Ana 15.0939 120.7681 Philippines
|
|||
|
|
Vyronas 37.9617 23.7533 Greece
|
|||
|
|
Asker 59.8353 10.435 Norway
|
|||
|
|
Ostuncalco 14.8667 -91.6167 Guatemala
|
|||
|
|
Ilobasco 13.84 -88.85 El Salvador
|
|||
|
|
Itogon 16.37 120.67 Philippines
|
|||
|
|
Port Coquitlam 49.2625 -122.7811 Canada
|
|||
|
|
Korosten 50.95 28.6333 Ukraine
|
|||
|
|
Baao 13.4535 123.3654 Philippines
|
|||
|
|
La Democracia 15.6333 -91.8667 Guatemala
|
|||
|
|
Uzunkopru 41.2667 26.6833 Turkey
|
|||
|
|
Hasuda 35.9945 139.6624 Japan
|
|||
|
|
Widnes 53.362 -2.7341 United Kingdom
|
|||
|
|
Taal 13.88 120.93 Philippines
|
|||
|
|
Djibo 14.1011 -1.6306 Burkina Faso
|
|||
|
|
Euclides da Cunha -10.5078 -39.0139 Brazil
|
|||
|
|
Xinmin 35.118 108.0986 China
|
|||
|
|
Ramanathapuram 9.3639 78.8395 India
|
|||
|
|
Kozluk 38.1944 41.4911 Turkey
|
|||
|
|
Candon 17.1958 120.4489 Philippines
|
|||
|
|
Sawahlunto -0.6667 100.7833 Indonesia
|
|||
|
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Gia Nghia 11.9833 107.7 Vietnam
|
|||
|
|
Marietta 33.9533 -84.5422 United States
|
|||
|
|
Hatogaya-honcho 35.8333 139.7333 Japan
|
|||
|
|
Tunasan 14.3725 121.0364 Philippines
|
|||
|
|
Wellington 26.6461 -80.2699 United States
|
|||
|
|
Garbsen 52.4183 9.5981 Germany
|
|||
|
|
Wesel 51.6586 6.6178 Germany
|
|||
|
|
Budennovsk 44.7833 44.1667 Russia
|
|||
|
|
Vejle 55.7167 9.5333 Denmark
|
|||
|
|
Tarnowskie Gory 50.4444 18.8583 Poland
|
|||
|
|
Trikonavattam 8.9 76.65 India
|
|||
|
|
Santa Catarina Ixtahuacan 14.8 -91.3667 Guatemala
|
|||
|
|
Sanford 28.7891 -81.2757 United States
|
|||
|
|
Kolomyia 48.5306 25.0403 Ukraine
|
|||
|
|
Sibay 52.7 58.65 Russia
|
|||
|
|
Yala 6.5425 101.2831 Thailand
|
|||
|
|
Salgueiro -8.0742 -39.1192 Brazil
|
|||
|
|
Halvad 23.02 71.18 India
|
|||
|
|
Mateare 12.2333 -86.4333 Nicaragua
|
|||
|
|
Wels 48.15 14.0167 Austria
|
|||
|
|
Barbalha -7.305 -39.3019 Brazil
|
|||
|
|
Woodland 38.6712 -121.75 United States
|
|||
|
|
Taua -6.0028 -40.2928 Brazil
|
|||
|
|
Margate 51.385 1.3838 United Kingdom
|
|||
|
|
Abuyog 10.7458 125.0122 Philippines
|
|||
|
|
Caldwell 43.6453 -116.6594 United States
|
|||
|
|
Coyhaique -45.5667 -72.0667 Chile
|
|||
|
|
Maues -3.3836 -57.7186 Brazil
|
|||
|
|
Huntersville 35.406 -80.8716 United States
|
|||
|
|
Bocaranga 6.9844 15.6408 Central African Republic
|
|||
|
|
Ar Rastan 34.9167 36.7333 Syria
|
|||
|
|
Caico -6.4578 -37.0978 Brazil
|
|||
|
|
Udamalpet 10.5855 77.2513 India
|
|||
|
|
Cabatuan 10.88 122.48 Philippines
|
|||
|
|
Mirabel 45.65 -74.0833 Canada
|
|||
|
|
Santo Domingo 15.59 120.8786 Philippines
|
|||
|
|
Ellesmere Port 53.279 -2.897 United Kingdom
|
|||
|
|
Santa Rosa de Copan 14.7667 -88.7833 Honduras
|
|||
|
|
Barberena 14.3167 -90.3667 Guatemala
|
|||
|
|
Velika Gorica 45.7 16.0667 Croatia
|
|||
|
|
Hashimoto 34.3167 135.6 Japan
|
|||
|
|
Idiofa -4.9668 19.591 Congo (Kinshasa)
|
|||
|
|
Bristol 41.6812 -72.9407 United States
|
|||
|
|
Olbia 40.9167 9.5 Italy
|
|||
|
|
Neu-Ulm 48.3833 10 Germany
|
|||
|
|
Nordre Fale 59.75 10.8667 Norway
|
|||
|
|
La Plata 2.39 -75.9075 Colombia
|
|||
|
|
Ogoshi 32.8833 130.7833 Japan
|
|||
|
|
Bangor 54.66 -5.67 United Kingdom
|
|||
|
|
Iranduba -3.285 -60.1858 Brazil
|
|||
|
|
Neka 36.65 53.2972 Iran
|
|||
|
|
Tulunan 6.83 124.88 Philippines
|
|||
|
|
Hurth 50.8775 6.8761 Germany
|
|||
|
|
Adjohon 6.7 2.4667 Benin
|
|||
|
|
Wanparti 16.361 78.0627 India
|
|||
|
|
Jupiter 26.92 -80.1128 United States
|
|||
|
|
Tafo 6.7358 -1.6081 Ghana
|
|||
|
|
Aisai 35.1528 136.7282 Japan
|
|||
|
|
Tsushima 35.1771 136.7413 Japan
|
|||
|
|
Itoman 26.1236 127.6658 Japan
|
|||
|
|
Soroti 1.715 33.6111 Uganda
|
|||
|
|
Unna 51.5347 7.6889 Germany
|
|||
|
|
San Rafael 37.9905 -122.5221 United States
|
|||
|
|
La Mesa 32.7703 -117.0204 United States
|
|||
|
|
Nambuangongo -8.0167 14.2 Angola
|
|||
|
|
Los Polvorines -34.5 -58.7 Argentina
|
|||
|
|
Richland 46.2824 -119.2939 United States
|
|||
|
|
Jinoba-an 9.6018 122.4668 Philippines
|
|||
|
|
Lomza 53.1764 22.0731 Poland
|
|||
|
|
Tamba 35.1833 135.0333 Japan
|
|||
|
|
Chamrajnagar 11.926 76.9402 India
|
|||
|
|
Fort Portal 0.6544 30.2744 Uganda
|
|||
|
|
Pantin 48.8966 2.4017 France
|
|||
|
|
Burhaniye 39.5 26.95 Turkey
|
|||
|
|
Meihuacun 37.8862 114.8204 China
|
|||
|
|
Yamatotakada 34.5167 135.7333 Japan
|
|||
|
|
Bethal -26.45 29.45 South Africa
|
|||
|
|
Orion 14.6206 120.5817 Philippines
|
|||
|
|
Artemisa 22.8136 -82.7633 Cuba
|
|||
|
|
Sarandi -34.6833 -58.3333 Argentina
|
|||
|
|
Kresek -6.1314 106.38 Indonesia
|
|||
|
|
El Wak 2.8028 40.9275 Kenya
|
|||
|
|
Villamaria 5 -75.5 Colombia
|
|||
|
|
Shihe 39.2708 113.5478 China
|
|||
|
|
Puerto Limon 10.0022 -83.084 Costa Rica
|
|||
|
|
Calulo -10.0007 14.901 Angola
|
|||
|
|
Galapa 10.9167 -74.8333 Colombia
|
|||
|
|
Cubulco 15.1083 -90.6306 Guatemala
|
|||
|
|
Mbabane -26.3167 31.1333 Eswatini
|
|||
|
|
Oyem 1.6 11.5667 Gabon
|
|||
|
|
Kyustendil 42.2833 22.6833 Bulgaria
|
|||
|
|
Huatusco 19.1489 -96.9661 Mexico
|
|||
|
|
Castilla 12.9553 123.8764 Philippines
|
|||
|
|
Laoang 12.57 125.02 Philippines
|
|||
|
|
Oda 5.9236 -0.9883 Ghana
|
|||
|
|
Ibitinga -21.7578 -48.8289 Brazil
|
|||
|
|
Kukarmunda 21.5167 74.1333 India
|
|||
|
|
Kokawa 34.2664 135.3653 Japan
|
|||
|
|
Trang 7.5575 99.6103 Thailand
|
|||
|
|
Viareggio 43.8667 10.2333 Italy
|
|||
|
|
Revere 42.4189 -71.004 United States
|
|||
|
|
Trujillo 15.9167 -86 Honduras
|
|||
|
|
Yongyang 27.1017 106.7332 China
|
|||
|
|
Meriden 41.5369 -72.7946 United States
|
|||
|
|
Tigaon 13.6319 123.4975 Philippines
|
|||
|
|
Matanao 6.75 125.23 Philippines
|
|||
|
|
Atotonilco el Alto 20.5333 -102.5 Mexico
|
|||
|
|
Taunton 51.019 -3.1 United Kingdom
|
|||
|
|
Dumraon 25.5526 84.1515 India
|
|||
|
|
Piscataway 40.5467 -74.4636 United States
|
|||
|
|
Fryazino 55.95 38.05 Russia
|
|||
|
|
Itapecuru Mirim -3.3928 -44.3589 Brazil
|
|||
|
|
Elk 53.8214 22.3622 Poland
|
|||
|
|
Monterey Park 34.0497 -118.1326 United States
|
|||
|
|
Gardena 33.8943 -118.3072 United States
|
|||
|
|
Slutsk 53.0333 27.5667 Belarus
|
|||
|
|
Vratsa 43.2 23.55 Bulgaria
|
|||
|
|
Euless 32.8508 -97.08 United States
|
|||
|
|
Cruz das Almas -12.67 -39.1019 Brazil
|
|||
|
|
Altinozu 36.1 36.23 Turkey
|
|||
|
|
Bor 37.8964 34.5628 Turkey
|
|||
|
|
Panruti 11.77 79.55 India
|
|||
|
|
Lalmanirhat 25.9167 89.45 Bangladesh
|
|||
|
|
Ambanja -13.6786 48.4522 Madagascar
|
|||
|
|
Ciudad Arce 13.8333 -89.4333 El Salvador
|
|||
|
|
Velampalaiyam 11.1376 77.3106 India
|
|||
|
|
Laeken 50.8778 4.3558 Belgium
|
|||
|
|
Gubat 12.9189 124.1231 Philippines
|
|||
|
|
Wallasey 53.4158 -3.0233 United Kingdom
|
|||
|
|
Yisuhe 27.7736 112.9558 China
|
|||
|
|
Rosario 16.23 120.48 Philippines
|
|||
|
|
Irvington 40.7243 -74.2317 United States
|
|||
|
|
Belladere 18.8667 -71.7667 Haiti
|
|||
|
|
Mizusawa 39.1438 141.139 Japan
|
|||
|
|
Clay 43.1808 -76.1954 United States
|
|||
|
|
Tirukkoyilur 11.9675 79.2056 India
|
|||
|
|
San Mateo Ixtatan 15.8333 -91.4833 Guatemala
|
|||
|
|
Parkent 41.2944 69.6764 Uzbekistan
|
|||
|
|
Paracale 14.2797 122.7869 Philippines
|
|||
|
|
Yame 33.2119 130.5578 Japan
|
|||
|
|
Qoorlugud 8.55 46.2333 Somalia
|
|||
|
|
Belebey 54.1 54.1333 Russia
|
|||
|
|
Razampeta 14.1954 79.159 India
|
|||
|
|
Kangan 27.8389 52.0619 Iran
|
|||
|
|
Chistopol 55.3647 50.6261 Russia
|
|||
|
|
Kumertau 52.7667 55.7833 Russia
|
|||
|
|
Labinsk 44.6333 40.7333 Russia
|
|||
|
|
Nedumangad 8.6033 77.0028 India
|
|||
|
|
Berrouaghia 36.1333 2.9167 Algeria
|
|||
|
|
Zamosc 50.7167 23.2528 Poland
|
|||
|
|
Pasaje -3.3269 -79.8049 Ecuador
|
|||
|
|
San Mariano 16.98 122.02 Philippines
|
|||
|
|
Nioro 15.1833 -9.55 Mali
|
|||
|
|
Abyek 36.0411 50.5306 Iran
|
|||
|
|
Samut Sakhon 13.5486 100.2775 Thailand
|
|||
|
|
Mbalmayo 3.5167 11.5 Cameroon
|
|||
|
|
Des Plaines 42.0345 -87.9008 United States
|
|||
|
|
Jinxing 37.9869 106.2027 China
|
|||
|
|
Malay 11.8997 121.9094 Philippines
|
|||
|
|
Souq Sebt Oulad Nemma 32.2948 -6.7007 Morocco
|
|||
|
|
Towada 40.6127 141.2059 Japan
|
|||
|
|
Pirojpur 22.578 89.968 Bangladesh
|
|||
|
|
Manhica -25.4 32.8 Mozambique
|
|||
|
|
Horqueta -23.3442 -57.0436 Paraguay
|
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|
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Floriano -6.7669 -43.0228 Brazil
|
|||
|
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Sao Borja -28.6602 -56.0038 Brazil
|
|||
|
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Monte Alegre -2.0023 -54.0717 Brazil
|
|||
|
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Saravan 27.3708 62.3325 Iran
|
|||
|
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Tyre 33.2708 35.1961 Lebanon
|
|||
|
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Faruka 31.8853 72.4153 Pakistan
|
|||
|
|
Buqda Caqable 4.06 45.2575 Somalia
|
|||
|
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Oodweyne 9.4 45.0667 Somalia
|
|||
|
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Guigue 10.0833 -67.7833 Venezuela
|
|||
|
|
Hurlingham -34.6 -58.6333 Argentina
|
|||
|
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Kribi 2.935 9.91 Cameroon
|
|||
|
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Suifenhe 44.4124 131.1518 China
|
|||
|
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Consuelito 18.56 -69.3 Dominican Republic
|
|||
|
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Baba Hassen 36.7 2.9667 Algeria
|
|||
|
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Meskiana 35.6333 7.6667 Algeria
|
|||
|
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Afula 32.6064 35.2881 Israel
|
|||
|
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Nahariyya 33.0058 35.0989 Israel
|
|||
|
|
Gunupur 19.08 83.82 India
|
|||
|
|
Mehnajpur 25.6722 83.1181 India
|
|||
|
|
Bayji 34.9292 43.4931 Iraq
|
|||
|
|
Banane 0.5 38.67 Kenya
|
|||
|
|
Kakuma 3.7167 34.8667 Kenya
|
|||
|
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Kratie 12.48 106.03 Cambodia
|
|||
|
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Barneveld 52.1333 5.5833 Netherlands
|
|||
|
|
Hamburg 42.7394 -78.8581 United States
|
|||
|
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Obando 14.7083 120.9375 Philippines
|
|||
|
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San Marcos 8.6611 -75.1347 Colombia
|
|||
|
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Civril 38.3014 29.7386 Turkey
|
|||
|
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Babolsar 36.7006 52.65 Iran
|
|||
|
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Union 40.6953 -74.2697 United States
|
|||
|
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Thatri 33.1453 75.7911 India
|
|||
|
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Urus-Martan 43.1333 45.55 Russia
|
|||
|
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Rubizhne 49.01 38.3714 Ukraine
|
|||
|
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Registro -24.4875 -47.8436 Brazil
|
|||
|
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Chandralapadu 16.715 80.2089 India
|
|||
|
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Legnano 45.5781 8.9183 Italy
|
|||
|
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Loughborough 52.7725 -1.2078 United Kingdom
|
|||
|
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San Vicente del Raspeig 38.3964 -0.5253 Spain
|
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|
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Ponnuru 16.0667 80.5667 India
|
|||
|
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West Allis 43.0068 -88.0296 United States
|
|||
|
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Carrara 44.0792 10.1 Italy
|
|||
|
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Ain Touta 35.3833 5.9 Algeria
|
|||
|
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Arankhola 24.661 90.0884 Bangladesh
|
|||
|
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Sigaboy 6.6536 126.0717 Philippines
|
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|
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Kathua 32.3694 75.5254 India
|
|||
|
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Chambery 45.57 5.9118 France
|
|||
|
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Ilog 10.03 122.77 Philippines
|
|||
|
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North Miami 25.9008 -80.1686 United States
|
|||
|
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Ozalp 38.6583 43.9894 Turkey
|
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|
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St. Cloud 28.2363 -81.2779 United States
|
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|
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The Hammocks 25.67 -80.4482 United States
|
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|
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Escada -8.3592 -35.2236 Brazil
|
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|
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Aranjuez 40.0333 -3.6028 Spain
|
|||
|
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Blainville 45.67 -73.88 Canada
|
|||
|
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North Lakhimpur 27.2414 94.1056 India
|
|||
|
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Fano 43.8333 13.0167 Italy
|
|||
|
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Andradina -20.8958 -51.3789 Brazil
|
|||
|
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Langenfeld 51.1167 6.95 Germany
|
|||
|
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Skhirate 33.85 -7.03 Morocco
|
|||
|
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Dongcun 38.28 111.6751 China
|
|||
|
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Euskirchen 50.6597 6.7917 Germany
|
|||
|
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Ragay 13.8217 122.7897 Philippines
|
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|
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Khartsyzk 48.0428 38.1425 Ukraine
|
|||
|
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Cupertino 37.3168 -122.0466 United States
|
|||
|
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Uzice 43.85 19.85 Serbia
|
|||
|
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Lakhdaria 36.5622 3.5944 Algeria
|
|||
|
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Taylorsville 40.6569 -111.9493 United States
|
|||
|
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Vinukonda 16.05 79.75 India
|
|||
|
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Alexandroupoli 40.85 25.8667 Greece
|
|||
|
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Suhareke 42.38 20.8219 Kosovo
|
|||
|
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Huehuetoca 19.8342 -99.2033 Mexico
|
|||
|
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Vicosa do Ceara -3.5667 -41.0833 Brazil
|
|||
|
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Gohadi 26.4328 78.442 India
|
|||
|
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Kananya 11.1856 124.5597 Philippines
|
|||
|
|
Greifswald 54.0833 13.3833 Germany
|
|||
|
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Khagaria 25.5022 86.4671 India
|
|||
|
|
Hardenberg 52.5667 6.6167 Netherlands
|
|||
|
|
Matera 40.6667 16.6 Italy
|
|||
|
|
Petaluma 38.2423 -122.6266 United States
|
|||
|
|
Bougouni 11.4167 -7.4833 Mali
|
|||
|
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Karamursel 40.6892 29.615 Turkey
|
|||
|
|
Huajiang 25.7491 105.6063 China
|
|||
|
|
Sanyo-Onoda 34.0031 131.1819 Japan
|
|||
|
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Aguacatan 15.35 -91.3167 Guatemala
|
|||
|
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Sennan 34.3628 135.2761 Japan
|
|||
|
|
Guerra 18.55 -69.7 Dominican Republic
|
|||
|
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Date 37.8191 140.563 Japan
|
|||
|
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Pachora 20.67 75.35 India
|
|||
|
|
Ouezzane 34.8 -5.5833 Morocco
|
|||
|
|
Medellin 11.1286 123.9622 Philippines
|
|||
|
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Maimbung 5.93 121.03 Philippines
|
|||
|
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Lianzhuangcun 37.1146 115.7594 China
|
|||
|
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Coroata -4.13 -44.1239 Brazil
|
|||
|
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Limoeiro do Norte -5.1333 -38.0833 Brazil
|
|||
|
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Chelm 51.1322 23.4778 Poland
|
|||
|
|
Tiptur 13.26 76.48 India
|
|||
|
|
Altamira 22.3375 -97.8694 Mexico
|
|||
|
|
Kokomo 40.464 -86.1277 United States
|
|||
|
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Gopichettipalaiyam 11.4549 77.4365 India
|
|||
|
|
Givatayim 32.0714 34.81 Israel
|
|||
|
|
Santee 32.8554 -116.9851 United States
|
|||
|
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Alcoy 38.6983 -0.4736 Spain
|
|||
|
|
Itanagar 27.1 93.62 India
|
|||
|
|
Esfarayen 37.0703 57.5089 Iran
|
|||
|
|
Xo`jayli Shahri 42.4 59.45 Uzbekistan
|
|||
|
|
Hakkari 37.577 43.739 Turkey
|
|||
|
|
Merida 38.9 -6.3333 Spain
|
|||
|
|
Wangzhuang 39.8003 116.15 China
|
|||
|
|
Stonecrest 33.6842 -84.1372 United States
|
|||
|
|
Taunton 41.9036 -71.0943 United States
|
|||
|
|
Rzhev 56.25 34.3167 Russia
|
|||
|
|
White Plains 41.022 -73.7547 United States
|
|||
|
|
Montenegro -29.6889 -51.4608 Brazil
|
|||
|
|
Yara 20.2767 -76.9469 Cuba
|
|||
|
|
Shimotsuke 36.3872 139.8421 Japan
|
|||
|
|
Druzhkivka 48.6214 37.5278 Ukraine
|
|||
|
|
Shirakawa 37.1263 140.2109 Japan
|
|||
|
|
Tomaszow Mazowiecki 51.5167 20.0167 Poland
|
|||
|
|
Los Andes -32.8333 -70.6167 Chile
|
|||
|
|
Ouinhri 7 2.45 Benin
|
|||
|
|
Moron 22.1108 -78.6278 Cuba
|
|||
|
|
Hua Hin 12.5686 99.9578 Thailand
|
|||
|
|
Stralsund 54.3092 13.0819 Germany
|
|||
|
|
Esperanza 8.68 125.65 Philippines
|
|||
|
|
Koga 33.7333 130.4667 Japan
|
|||
|
|
As Saff 29.5772 31.2906 Egypt
|
|||
|
|
Galatsi 38.0167 23.75 Greece
|
|||
|
|
Kesennuma 38.9081 141.5699 Japan
|
|||
|
|
Garin -34.4167 -58.75 Argentina
|
|||
|
|
Ruhengeri -1.5 29.6333 Rwanda
|
|||
|
|
Aleksandrov 56.4 38.7333 Russia
|
|||
|
|
Joso 36.0236 139.9938 Japan
|
|||
|
|
Niort 46.3258 -0.4606 France
|
|||
|
|
Alfonso 14.1379 120.8552 Philippines
|
|||
|
|
Zhoujiajing 31.1116 121.0518 China
|
|||
|
|
Gaibandha 25.329 89.5415 Bangladesh
|
|||
|
|
Uniao dos Palmares -9.1628 -36.0319 Brazil
|
|||
|
|
Hyuga 32.4228 131.6239 Japan
|
|||
|
|
Dhone 15.396 77.872 India
|
|||
|
|
Irosin 12.705 124.0319 Philippines
|
|||
|
|
Neuilly-sur-Seine 48.8881 2.2686 France
|
|||
|
|
Serres 41.0833 23.55 Greece
|
|||
|
|
Zamora 41.4989 -5.7556 Spain
|
|||
|
|
Irati -25.4697 -50.6547 Brazil
|
|||
|
|
Gannan 47.9117 123.4978 China
|
|||
|
|
San Francisco 10.65 124.35 Philippines
|
|||
|
|
Trollhattan 58.2828 12.2892 Sweden
|
|||
|
|
Rajgarh 28.64 75.38 India
|
|||
|
|
Katerini 40.2667 22.5 Greece
|
|||
|
|
San Simon 14.998 120.78 Philippines
|
|||
|
|
Chalkida 38.4625 23.595 Greece
|
|||
|
|
Mansalay 12.5204 121.4385 Philippines
|
|||
|
|
Damghan 36.1656 54.3419 Iran
|
|||
|
|
Chichibu 35.9918 139.0855 Japan
|
|||
|
|
Umm al Qaywayn 25.5533 55.5475 United Arab Emirates
|
|||
|
|
Antigua Guatemala 14.5667 -90.7333 Guatemala
|
|||
|
|
Panna 24.27 80.17 India
|
|||
|
|
Palm Beach Gardens 26.8466 -80.1679 United States
|
|||
|
|
Barking 51.54 0.08 United Kingdom
|
|||
|
|
Chivacoa 10.16 -68.9097 Venezuela
|
|||
|
|
Goppingen 48.7025 9.6528 Germany
|
|||
|
|
Constanza 18.91 -70.75 Dominican Republic
|
|||
|
|
Saint-Louis du Sud 18.2667 -73.55 Haiti
|
|||
|
|
Yevlax 40.6172 47.15 Azerbaijan
|
|||
|
|
Mossel Bay -34.1833 22.1333 South Africa
|
|||
|
|
El Palomar -34.6167 -58.5833 Argentina
|
|||
|
|
Tahara 34.6688 137.2809 Japan
|
|||
|
|
Upi 7.0106 124.1629 Philippines
|
|||
|
|
Metapan 14.3314 -89.4428 El Salvador
|
|||
|
|
Florida 3.3275 -76.2386 Colombia
|
|||
|
|
Jiguani 20.3731 -76.4222 Cuba
|
|||
|
|
Petroupoli 38.0333 23.6833 Greece
|
|||
|
|
Huauchinango 20.1767 -98.0528 Mexico
|
|||
|
|
Anzio 41.4472 12.6283 Italy
|
|||
|
|
Motril 36.75 -3.5167 Spain
|
|||
|
|
Nirgua 10.0833 -68.6667 Venezuela
|
|||
|
|
Chapel Hill 35.9271 -79.0391 United States
|
|||
|
|
Santa Maria Chiquimula 15.0292 -91.3294 Guatemala
|
|||
|
|
Cruz Alta -28.6386 -53.6064 Brazil
|
|||
|
|
Cerro de Pasco -10.6864 -76.2625 Peru
|
|||
|
|
Xikeng 24.0505 116.8538 China
|
|||
|
|
Lac-Brome 45.2167 -72.5167 Canada
|
|||
|
|
Andoharanofotsy -18.975 47.5333 Madagascar
|
|||
|
|
Gattaran 18.0611 121.6453 Philippines
|
|||
|
|
Carvajal 9.33 -70.5767 Venezuela
|
|||
|
|
Parobe -29.6289 -50.835 Brazil
|
|||
|
|
Sidi ech Chahmi 35.6667 -0.5167 Algeria
|
|||
|
|
Zahirabad 17.6814 77.6074 India
|
|||
|
|
Scheveningen 52.1081 4.2731 Netherlands
|
|||
|
|
Roxas 12.58 121.5 Philippines
|
|||
|
|
Wani 20.0556 78.9533 India
|
|||
|
|
Binnaguri 26.7641 89.0558 India
|
|||
|
|
Ban Rangsit 14.0167 100.75 Thailand
|
|||
|
|
Canlaon 10.38 123.2 Philippines
|
|||
|
|
Kalamata 37.0378 22.1111 Greece
|
|||
|
|
Beccar -34.4667 -58.5167 Argentina
|
|||
|
|
Jackson 40.098 -74.3578 United States
|
|||
|
|
Manouba 36.8078 10.1011 Tunisia
|
|||
|
|
Upleta 21.73 70.28 India
|
|||
|
|
El Salvador 8.57 124.52 Philippines
|
|||
|
|
Narasapur 16.4361 81.7016 India
|
|||
|
|
Xanthi 41.1333 24.8833 Greece
|
|||
|
|
Chikuma 36.5339 138.12 Japan
|
|||
|
|
Hoboken 40.7452 -74.0281 United States
|
|||
|
|
Krusevac 43.5806 21.3306 Serbia
|
|||
|
|
Pedro Leopoldo -19.6178 -44.0428 Brazil
|
|||
|
|
Parker 39.5084 -104.7753 United States
|
|||
|
|
Jaguariuna -22.68 -46.99 Brazil
|
|||
|
|
Blue Springs 39.0124 -94.2721 United States
|
|||
|
|
Calatagan 13.8322 120.6322 Philippines
|
|||
|
|
Baganga 7.5752 126.5585 Philippines
|
|||
|
|
Faenza 44.2856 11.8833 Italy
|
|||
|
|
Viseu -1.1969 -46.14 Brazil
|
|||
|
|
Izberbash 42.5633 47.8636 Russia
|
|||
|
|
Jovellanos 22.8106 -81.1981 Cuba
|
|||
|
|
Shoreline 47.7564 -122.3426 United States
|
|||
|
|
Dosso 13.0444 3.1947 Niger
|
|||
|
|
Baguineda 12.6153 -7.7767 Mali
|
|||
|
|
Koja 26.3344 127.8057 Japan
|
|||
|
|
St. Clair Shores 42.4925 -82.8961 United States
|
|||
|
|
Kasungu -13.0333 33.4833 Malawi
|
|||
|
|
Sonabedha 18.73 82.83 India
|
|||
|
|
Pasrur 32.16 74.4 Pakistan
|
|||
|
|
Wuyang 27.057 108.3959 China
|
|||
|
|
Raharpur 24.8194 88.325 Bangladesh
|
|||
|
|
Edgware 51.6185 -0.2729 United Kingdom
|
|||
|
|
Xinfeng 24.9167 121 Taiwan
|
|||
|
|
Alta Floresta -9.8861 -56.0872 Brazil
|
|||
|
|
Lytkarino 55.5833 37.9 Russia
|
|||
|
|
Kas 36.202 29.638 Turkey
|
|||
|
|
Mpondwe 0.04 29.725 Uganda
|
|||
|
|
Tenkodogo 11.7833 -0.3667 Burkina Faso
|
|||
|
|
Horizon West 28.4417 -81.6146 United States
|
|||
|
|
Osakasayama 34.5 135.55 Japan
|
|||
|
|
Frutal -20.0167 -48.9333 Brazil
|
|||
|
|
Piparia 22.757 78.355 India
|
|||
|
|
San Luis 15.04 120.7919 Philippines
|
|||
|
|
Caltanissetta 37.4903 14.0625 Italy
|
|||
|
|
Gllogovc 42.6236 20.8939 Kosovo
|
|||
|
|
Una 20.82 71.03 India
|
|||
|
|
Balancan 17.8 -91.5333 Mexico
|
|||
|
|
Ibaan 13.8176 121.133 Philippines
|
|||
|
|
Kelibia 36.85 11.1 Tunisia
|
|||
|
|
Sardhana 29.145 77.61 India
|
|||
|
|
Sao Gabriel -30.3358 -54.32 Brazil
|
|||
|
|
Hastinapur 29.17 78.02 India
|
|||
|
|
Crotone 39.0833 17.1167 Italy
|
|||
|
|
New Corella 7.5866 125.8237 Philippines
|
|||
|
|
Zempoala 19.9153 -98.6689 Mexico
|
|||
|
|
Hameln 52.1 9.3667 Germany
|
|||
|
|
Kolondieba 11.0833 -6.9 Mali
|
|||
|
|
Allanmyo 19.3783 95.2279 Burma
|
|||
|
|
Cogan 10.58 123.97 Philippines
|
|||
|
|
Aleksin 54.5167 37.1 Russia
|
|||
|
|
Berezovskiy 56.9 60.8167 Russia
|
|||
|
|
Prokhladnyy 43.75 44.0333 Russia
|
|||
|
|
Oued Lill 36.8333 10.05 Tunisia
|
|||
|
|
Nausori -18.0244 178.5454 Fiji
|
|||
|
|
Glew -34.8833 -58.3833 Argentina
|
|||
|
|
Lorient 47.75 -3.36 France
|
|||
|
|
Rampur Hat 24.17 87.78 India
|
|||
|
|
Mikhaylovka 50.0667 43.25 Russia
|
|||
|
|
Dumanjog 10.05 123.48 Philippines
|
|||
|
|
Asingan 16.0023 120.6695 Philippines
|
|||
|
|
Sidi Yahya Zaer 33.7105 -6.8831 Morocco
|
|||
|
|
Suileng 47.246 127.106 China
|
|||
|
|
Marano di Napoli 40.9 14.1833 Italy
|
|||
|
|
Orito 0.6661 -76.8708 Colombia
|
|||
|
|
Xiezhou 34.9124 110.8517 China
|
|||
|
|
Royal Tunbridge Wells 51.132 0.263 United Kingdom
|
|||
|
|
Tikhoretsk 45.8667 40.1333 Russia
|
|||
|
|
Zivinice 44.45 18.65 Bosnia and Herzegovina
|
|||
|
|
Villejuif 48.7919 2.3636 France
|
|||
|
|
Avila 40.65 -4.6833 Spain
|
|||
|
|
El Attaf 36.2167 1.6667 Algeria
|
|||
|
|
Hervey Bay -25.29 152.84 Australia
|
|||
|
|
Kettering 39.6956 -84.1494 United States
|
|||
|
|
Bellevue 48.871 2.385 France
|
|||
|
|
Khandala 18.7481 73.4072 India
|
|||
|
|
Lonavale 18.7481 73.4072 India
|
|||
|
|
St. Peters 38.7825 -90.6061 United States
|
|||
|
|
Kosai 34.7184 137.5316 Japan
|
|||
|
|
General Pico -35.6667 -63.7333 Argentina
|
|||
|
|
Oak Lawn 41.7139 -87.7528 United States
|
|||
|
|
Mogoditshane -24.6333 25.8667 Botswana
|
|||
|
|
Grand-Popo 6.2833 1.8333 Benin
|
|||
|
|
Pavlovo 55.9653 43.0711 Russia
|
|||
|
|
Salsk 46.4833 41.5333 Russia
|
|||
|
|
Stalowa Wola 50.5667 22.05 Poland
|
|||
|
|
Gengzhuangqiaocun 37.4453 114.9804 China
|
|||
|
|
Towson 39.3944 -76.619 United States
|
|||
|
|
Jerez de Garcia Salinas 22.6481 -102.9903 Mexico
|
|||
|
|
Yanguancun 30.4541 120.5545 China
|
|||
|
|
New Plymouth -39.0578 174.0742 New Zealand
|
|||
|
|
Camajuani 22.4678 -79.7239 Cuba
|
|||
|
|
Taquara -29.6506 -50.7806 Brazil
|
|||
|
|
Bilimora 20.75 72.95 India
|
|||
|
|
Kothapet 19.3333 79.4833 India
|
|||
|
|
Coconut Creek 26.2803 -80.1842 United States
|
|||
|
|
Maduraivayal 13.0631 80.1719 India
|
|||
|
|
Togane 35.5599 140.3661 Japan
|
|||
|
|
Sira 13.745 76.909 India
|
|||
|
|
Monte Plata 18.81 -69.79 Dominican Republic
|
|||
|
|
Lucan 53.3544 -6.4486 Ireland
|
|||
|
|
Diriamba 11.85 -86.2333 Nicaragua
|
|||
|
|
Milagros 12.2192 123.5089 Philippines
|
|||
|
|
Choshi 35.7346 140.8268 Japan
|
|||
|
|
Santa Maria 6.55 125.47 Philippines
|
|||
|
|
Decatur 34.5731 -86.9905 United States
|
|||
|
|
Kollegal 12.1539 77.101 India
|
|||
|
|
Cosamaloapan 18.3667 -95.8 Mexico
|
|||
|
|
Sarapiqui 10.4853 -83.9362 Costa Rica
|
|||
|
|
Moknine 35.6333 10.9 Tunisia
|
|||
|
|
Bel Air South 39.5022 -76.3113 United States
|
|||
|
|
Unjha 23.8 72.4 India
|
|||
|
|
Benslimane 33.6167 -7.1167 Morocco
|
|||
|
|
Uki 32.645 130.6864 Japan
|
|||
|
|
Nonoichi 36.5194 136.6098 Japan
|
|||
|
|
Moramanga -18.9469 48.2303 Madagascar
|
|||
|
|
Frejus 43.433 6.737 France
|
|||
|
|
Borujen 31.9678 51.2894 Iran
|
|||
|
|
Devrek 41.2333 31.9667 Turkey
|
|||
|
|
Maun -19.9833 23.4167 Botswana
|
|||
|
|
Fountainebleau 25.7723 -80.346 United States
|
|||
|
|
Wylie 33.0362 -96.5161 United States
|
|||
|
|
Mafeteng -29.8167 27.25 Lesotho
|
|||
|
|
Bail-Hongal 15.8137 74.8589 India
|
|||
|
|
Jasaan 8.65 124.75 Philippines
|
|||
|
|
Shuya 56.85 41.3667 Russia
|
|||
|
|
Dehdasht 30.7953 50.5653 Iran
|
|||
|
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Semara 26.7394 -11.6703 Morocco
|
|||
|
|
Alvarado 18.7811 -95.7572 Mexico
|
|||
|
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Baden-Baden 48.7628 8.2408 Germany
|
|||
|
|
Lunglei 22.88 92.73 India
|
|||
|
|
Neryungri 56.6833 124.6667 Russia
|
|||
|
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Minokamo 35.4402 137.0157 Japan
|
|||
|
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Ipele 7.1333 5.6667 Nigeria
|
|||
|
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Bura 3.1722 42.1411 Somalia
|
|||
|
|
Zushi 35.2833 139.5833 Japan
|
|||
|
|
Talagante -33.6667 -70.8667 Chile
|
|||
|
|
Ribnita 47.7667 29 Moldova
|
|||
|
|
Nasirabad 26.3 74.73 India
|
|||
|
|
Cerignola 41.2667 15.9 Italy
|
|||
|
|
Rodos 36.4412 28.2225 Greece
|
|||
|
|
Madison 34.7114 -86.7626 United States
|
|||
|
|
Cuemba -12.15 18.0833 Angola
|
|||
|
|
Tezonapa 18.6 -96.6833 Mexico
|
|||
|
|
Ushuaia -54.8019 -68.3031 Argentina
|
|||
|
|
Ban Bang Kaeo 13.6371 100.6636 Thailand
|
|||
|
|
Cachoeiras de Macacu -22.4628 -42.6528 Brazil
|
|||
|
|
Machang 5.7608 102.2158 Malaysia
|
|||
|
|
Huaixiangcun 22.4817 111.0542 China
|
|||
|
|
San Luis 18.55 -69.7 Dominican Republic
|
|||
|
|
Kedzierzyn-Kozle 50.35 18.2 Poland
|
|||
|
|
Puerto Boyaca 6 -74.4167 Colombia
|
|||
|
|
Azzaba 36.7333 7.1 Algeria
|
|||
|
|
Hagonoy 6.68 125.3 Philippines
|
|||
|
|
Mora 10.0088 -84.0216 Costa Rica
|
|||
|
|
Xam Nua 20.415 104.048 Laos
|
|||
|
|
Limbang 4.7592 115.0067 Malaysia
|
|||
|
|
Dina 33.0283 73.6011 Pakistan
|
|||
|
|
Gudalur 11.5014 76.4916 India
|
|||
|
|
Ipira -12.1583 -39.7389 Brazil
|
|||
|
|
Caacupe -25.3861 -57.1408 Paraguay
|
|||
|
|
Miragoane 18.4458 -73.09 Haiti
|
|||
|
|
Samalkot 17.0531 82.1695 India
|
|||
|
|
Karimganj 24.87 92.35 India
|
|||
|
|
Brookhaven 33.8743 -84.3314 United States
|
|||
|
|
Acambay 19.9539 -99.8431 Mexico
|
|||
|
|
Santa Rosa -3.4522 -79.9617 Ecuador
|
|||
|
|
Pinagkaisahan 14.5229 121.0555 Philippines
|
|||
|
|
Bobbili 18.5667 83.3667 India
|
|||
|
|
Irpin 50.5167 30.25 Ukraine
|
|||
|
|
Bebandem -8.4046 115.5395 Indonesia
|
|||
|
|
Chinhoyi -17.3497 30.1944 Zimbabwe
|
|||
|
|
Highland 34.1113 -117.165 United States
|
|||
|
|
Fussa 35.7333 139.3333 Japan
|
|||
|
|
Fountain Valley 33.7105 -117.9514 United States
|
|||
|
|
Bowmanville 43.9125 -78.6871 Canada
|
|||
|
|
Duzici 37.2431 36.4567 Turkey
|
|||
|
|
Kalna 23.22 88.37 India
|
|||
|
|
Sattenapalle 16.3962 80.1497 India
|
|||
|
|
Tulcan 0.8117 -77.7186 Ecuador
|
|||
|
|
Al Hoceima 35.2472 -3.9322 Morocco
|
|||
|
|
Lagonoy 13.7353 123.5208 Philippines
|
|||
|
|
Basey 11.2817 125.0683 Philippines
|
|||
|
|
Beauvais 49.4303 2.0952 France
|
|||
|
|
Kudamatsu 34.015 131.8703 Japan
|
|||
|
|
Shali 43.15 45.9 Russia
|
|||
|
|
Kettering 52.3931 -0.7229 United Kingdom
|
|||
|
|
Gangarampur 25.4 88.52 India
|
|||
|
|
Rahovec 42.3994 20.6547 Kosovo
|
|||
|
|
Oosterhout 51.6333 4.8667 Netherlands
|
|||
|
|
Hohoe 7.149 0.4746 Ghana
|
|||
|
|
Mount Prospect 42.0641 -87.9375 United States
|
|||
|
|
Arcadia 34.1342 -118.0373 United States
|
|||
|
|
Dongola 19.1698 30.4749 Sudan
|
|||
|
|
Mota 11.0833 37.8667 Ethiopia
|
|||
|
|
Mukocho 34.9486 135.6983 Japan
|
|||
|
|
Khlong Luang 14.0647 100.6458 Thailand
|
|||
|
|
Tilakpur 28.525 81.1208 Nepal
|
|||
|
|
Moncalieri 45 7.6833 Italy
|
|||
|
|
Castelo Branco 39.8167 -7.5 Portugal
|
|||
|
|
Mizuho 35.3918 136.6909 Japan
|
|||
|
|
Diffun 16.5936 121.5025 Philippines
|
|||
|
|
Cuizhuangzi 38.2897 116.5472 China
|
|||
|
|
Waiblingen 48.8303 9.3169 Germany
|
|||
|
|
Tiruvallur 13.1231 79.912 India
|
|||
|
|
Mandapeta 16.87 81.93 India
|
|||
|
|
San Andres Villa Seca 14.5667 -91.5833 Guatemala
|
|||
|
|
Tirur 10.9 75.92 India
|
|||
|
|
Mendi -6.1478 143.6572 Papua New Guinea
|
|||
|
|
Takizawa 39.7347 141.0771 Japan
|
|||
|
|
Kimilili 0.7833 34.7167 Kenya
|
|||
|
|
Uman 20.8833 -89.75 Mexico
|
|||
|
|
Eschweiler 50.8167 6.2833 Germany
|
|||
|
|
Bonga 7.2667 36.2333 Ethiopia
|
|||
|
|
Pithoragarh 29.58 80.22 India
|
|||
|
|
Kengri 12.9122 77.4827 India
|
|||
|
|
Huaquillas -3.4814 -80.2432 Ecuador
|
|||
|
|
Myaungmya 16.6036 94.9289 Burma
|
|||
|
|
Intibuca 14.3121 -88.1781 Honduras
|
|||
|
|
Bluefields 12 -83.75 Nicaragua
|
|||
|
|
Oke-Mesi 7.8167 4.9167 Nigeria
|
|||
|
|
Langtang 27.9636 111.11 China
|
|||
|
|
Ropar 30.9664 76.5331 India
|
|||
|
|
Parsippany-Troy Hills 40.8601 -74.4237 United States
|
|||
|
|
Abu Za`bal 30.2415 31.411 Egypt
|
|||
|
|
Chiapa de Corzo 16.7069 -93.0139 Mexico
|
|||
|
|
Lower Bicutan 14.5033 121.0642 Philippines
|
|||
|
|
General Tinio 15.35 121.05 Philippines
|
|||
|
|
Takaishi 34.5167 135.45 Japan
|
|||
|
|
Acul du Nord 19.6833 -72.3167 Haiti
|
|||
|
|
Ajodhya 26.7992 82.2044 India
|
|||
|
|
DeSoto 32.5992 -96.8633 United States
|
|||
|
|
Poblacion 10.47 123.97 Philippines
|
|||
|
|
Smyrna 33.8633 -84.5168 United States
|
|||
|
|
Bungoma 0.5667 34.5667 Kenya
|
|||
|
|
Longmen 35.6119 110.5746 China
|
|||
|
|
Khan Shaykhun 35.4389 36.6511 Syria
|
|||
|
|
Changling 44.27 123.99 China
|
|||
|
|
Belampalli 19.0756 79.4881 India
|
|||
|
|
Kharar 30.74 76.65 India
|
|||
|
|
Viramgam 23.12 72.03 India
|
|||
|
|
Zarrin Shahr 32.3889 51.3733 Iran
|
|||
|
|
Sidi Bennour 32.65 -8.4333 Morocco
|
|||
|
|
Hilden 51.1714 6.9394 Germany
|
|||
|
|
Bradenton 27.4901 -82.5757 United States
|
|||
|
|
Braintree 51.878 0.55 United Kingdom
|
|||
|
|
Bambang 16.3872 121.1075 Philippines
|
|||
|
|
Biswan 27.5 81 India
|
|||
|
|
Tsevie 6.4333 1.2167 Togo
|
|||
|
|
Union 42.1258 -76.0329 United States
|
|||
|
|
Rengo -34.4167 -70.8667 Chile
|
|||
|
|
Gulariya 28.2331 81.3331 Nepal
|
|||
|
|
Cuneo 44.3894 7.5478 Italy
|
|||
|
|
Umm Ruwaba 12.9046 31.2079 Sudan
|
|||
|
|
Kannamangalam 10.05 77.05 India
|
|||
|
|
Royal Leamington Spa 52.2919 -1.5358 United Kingdom
|
|||
|
|
Lesosibirsk 58.2358 92.4828 Russia
|
|||
|
|
Azul -36.7833 -59.85 Argentina
|
|||
|
|
Atchampeta 15.5412 78.9503 India
|
|||
|
|
Oulad Yaich 36.5039 2.8619 Algeria
|
|||
|
|
New Brunswick 40.487 -74.445 United States
|
|||
|
|
Apatity 67.5667 33.4 Russia
|
|||
|
|
Nogata 33.7417 130.7322 Japan
|
|||
|
|
Asadabad 34.7825 48.1219 Iran
|
|||
|
|
Tursunzoda 38.5108 68.2303 Tajikistan
|
|||
|
|
Paombong 14.8311 120.7892 Philippines
|
|||
|
|
Bedzin 50.3333 19.1167 Poland
|
|||
|
|
Zile 40.3 35.8833 Turkey
|
|||
|
|
Dzerzhinskiy 55.6333 37.85 Russia
|
|||
|
|
Nawucun 22.0039 110.5874 China
|
|||
|
|
Siliancun 22.7155 111.3163 China
|
|||
|
|
Hashtgerd 35.9619 50.6889 Iran
|
|||
|
|
Kandi 23.95 88.03 India
|
|||
|
|
Nueva Loja 0.0847 -76.8828 Ecuador
|
|||
|
|
Meaux 48.9603 2.8883 France
|
|||
|
|
Portimao 37.1369 -8.5383 Portugal
|
|||
|
|
Hoogeveen 52.7333 6.4833 Netherlands
|
|||
|
|
Nyenga 0.38 33.15 Uganda
|
|||
|
|
Guliston 40.4833 68.7833 Uzbekistan
|
|||
|
|
Yongqing 34.7522 106.1312 China
|
|||
|
|
Apple Valley 44.7457 -93.2004 United States
|
|||
|
|
Iba 15.33 119.98 Philippines
|
|||
|
|
Mulanay 13.5222 122.4042 Philippines
|
|||
|
|
Kuala Kapuas -3.0013 114.3916 Indonesia
|
|||
|
|
Tinley Park 41.567 -87.8049 United States
|
|||
|
|
Finote Selam 10.7 37.2667 Ethiopia
|
|||
|
|
Ha Giang 22.8333 104.9833 Vietnam
|
|||
|
|
Trapani 38.0175 12.515 Italy
|
|||
|
|
Urbiztondo 15.8227 120.3295 Philippines
|
|||
|
|
Saravena 6.9556 -71.8722 Colombia
|
|||
|
|
Nuevo Casas Grandes 30.4167 -107.9167 Mexico
|
|||
|
|
Buthidaung 20.8667 92.5333 Burma
|
|||
|
|
Wellington -33.6333 18.9833 South Africa
|
|||
|
|
Raxaul 26.9833 84.85 India
|
|||
|
|
Pulheim 51 6.8 Germany
|
|||
|
|
Kidderminster 52.3885 -2.249 United Kingdom
|
|||
|
|
Shendi 16.6833 33.4333 Sudan
|
|||
|
|
Sankt Polten 48.2 15.6167 Austria
|
|||
|
|
Opava 49.9381 17.9044 Czechia
|
|||
|
|
Agrigento 37.3167 13.5833 Italy
|
|||
|
|
Chystiakove 48.0219 38.6264 Ukraine
|
|||
|
|
San Agustin Acasaguastlan 14.95 -89.9667 Guatemala
|
|||
|
|
Sarasota 27.3387 -82.5432 United States
|
|||
|
|
Barwani 22.03 74.9 India
|
|||
|
|
PortoAlexandre -15.8 11.85 Angola
|
|||
|
|
Barrow in Furness 54.1108 -3.2261 United Kingdom
|
|||
|
|
Batac 18.0554 120.5649 Philippines
|
|||
|
|
Villarrica -39.2667 -72.2167 Chile
|
|||
|
|
Videira -27.0078 -51.1519 Brazil
|
|||
|
|
Qiryat Ata 32.8 35.1 Israel
|
|||
|
|
Hacienda Heights 33.997 -117.9727 United States
|
|||
|
|
Chicopee 42.1764 -72.5719 United States
|
|||
|
|
Nansan 23.7784 98.8253 China
|
|||
|
|
Tonekabon 36.8153 50.8711 Iran
|
|||
|
|
Zalaegerszeg 46.8392 16.8511 Hungary
|
|||
|
|
Biala Podlaska 52.0333 23.1167 Poland
|
|||
|
|
Xinqing 48.2363 129.5059 China
|
|||
|
|
Monte Mor -22.9467 -47.315 Brazil
|
|||
|
|
Tatalon 14.6242 121.0153 Philippines
|
|||
|
|
Ovar 40.8667 -8.6333 Portugal
|
|||
|
|
Sacapulas 15.2892 -91.0892 Guatemala
|
|||
|
|
Asturias 10.5679 123.7172 Philippines
|
|||
|
|
Toki 35.4192 137.1832 Japan
|
|||
|
|
Erumaippatti 11.58 77.85 India
|
|||
|
|
Khorramdarreh 36.2072 49.1992 Iran
|
|||
|
|
Langenhagen 52.4394 9.74 Germany
|
|||
|
|
Thermi 40.55 23.0167 Greece
|
|||
|
|
Yamasa 18.7667 -70.0167 Dominican Republic
|
|||
|
|
Taliwang -8.7336 116.8667 Indonesia
|
|||
|
|
West Haven 41.2739 -72.9672 United States
|
|||
|
|
Mercedes 14.1093 123.0109 Philippines
|
|||
|
|
Winneba 5.35 -0.625 Ghana
|
|||
|
|
Harpanahalli 14.7877 75.9886 India
|
|||
|
|
Buta 2.8 24.7333 Congo (Kinshasa)
|
|||
|
|
Midalt 32.68 -4.73 Morocco
|
|||
|
|
Herriman 40.4899 -112.017 United States
|
|||
|
|
Tokyo 35.6897 139.6922 Japan
|
|||
|
|
Jakarta -6.175 106.8275 Indonesia
|
|||
|
|
Delhi 28.61 77.23 India
|
|||
|
|
Guangzhou 23.13 113.26 China
|
|||
|
|
Mumbai 19.0761 72.8775 India
|
|||
|
|
Manila 14.5958 120.9772 Philippines
|
|||
|
|
Shanghai 31.2286 121.4747 China
|
|||
|
|
Sao Paulo -23.55 -46.6333 Brazil
|
|||
|
|
Seoul 37.56 126.99 Korea
|
|||
|
|
Mexico City 19.4333 -99.1333 Mexico
|
|||
|
|
Cairo 30.0444 31.2358 Egypt
|
|||
|
|
New York 40.6943 -73.9249 United States
|
|||
|
|
Dhaka 23.7639 90.3889 Bangladesh
|
|||
|
|
Beijing 39.9067 116.3975 China
|
|||
|
|
Kolkata 22.5675 88.37 India
|
|||
|
|
Bangkok 13.7525 100.4942 Thailand
|
|||
|
|
Shenzhen 22.5415 114.0596 China
|
|||
|
|
Moscow 55.7558 37.6172 Russia
|
|||
|
|
Buenos Aires -34.6033 -58.3817 Argentina
|
|||
|
|
Lagos 6.455 3.3841 Nigeria
|
|||
|
|
Istanbul 41.0136 28.955 Turkey
|
|||
|
|
Karachi 24.86 67.01 Pakistan
|
|||
|
|
Bangalore 12.9789 77.5917 India
|
|||
|
|
Ho Chi Minh City 10.7756 106.7019 Vietnam
|
|||
|
|
Osaka 34.6939 135.5022 Japan
|
|||
|
|
Chengdu 30.66 104.0633 China
|
|||
|
|
Tehran 35.6892 51.3889 Iran
|
|||
|
|
Kinshasa -4.3219 15.3119 Congo (Kinshasa)
|
|||
|
|
Rio de Janeiro -22.9111 -43.2056 Brazil
|
|||
|
|
Chennai 13.0825 80.275 India
|
|||
|
|
Xi'an 34.2611 108.9422 China
|
|||
|
|
Lahore 31.5497 74.3436 Pakistan
|
|||
|
|
Chongqing 29.5637 106.5504 China
|
|||
|
|
Los Angeles 34.1141 -118.4068 United States
|
|||
|
|
Baoding 38.874 115.464 China
|
|||
|
|
London 51.5072 -0.1275 United Kingdom
|
|||
|
|
Paris 48.8567 2.3522 France
|
|||
|
|
Linyi 35.1038 118.3564 China
|
|||
|
|
Dongguan 23.021 113.752 China
|
|||
|
|
Hyderabad 17.3617 78.4747 India
|
|||
|
|
Tianjin 39.1336 117.2054 China
|
|||
|
|
Lima -12.06 -77.0375 Peru
|
|||
|
|
Wuhan 30.5934 114.3046 China
|
|||
|
|
Nanyang 32.9987 112.5292 China
|
|||
|
|
Hangzhou 30.267 120.153 China
|
|||
|
|
Foshan 23.0214 113.1216 China
|
|||
|
|
Nagoya 35.1833 136.9 Japan
|
|||
|
|
Tongshan 34.204 117.284 China
|
|||
|
|
Luanda -8.8383 13.2344 Angola
|
|||
|
|
Zhoukou 33.625 114.6418 China
|
|||
|
|
Ganzhou 25.831 114.933 China
|
|||
|
|
Kuala Lumpur 3.1478 101.6953 Malaysia
|
|||
|
|
Heze 35.2343 115.4796 China
|
|||
|
|
Quanzhou 24.8744 118.6757 China
|
|||
|
|
Johannesburg -26.2044 28.0456 South Africa
|
|||
|
|
Chicago 41.8375 -87.6866 United States
|
|||
|
|
Nanjing 32.0608 118.7789 China
|
|||
|
|
Jining 35.4151 116.5871 China
|
|||
|
|
Hanoi 21 105.85 Vietnam
|
|||
|
|
Pune 18.5203 73.8567 India
|
|||
|
|
Fuyang 32.89 115.814 China
|
|||
|
|
Ahmedabad 23.0225 72.5714 India
|
|||
|
|
Bogota 4.7111 -74.0722 Colombia
|
|||
|
|
Shenyang 41.8025 123.4281 China
|
|||
|
|
Dar es Salaam -6.8161 39.2803 Tanzania
|
|||
|
|
Khartoum 15.6 32.5 Sudan
|
|||
|
|
Shangqiu 34.415 115.656 China
|
|||
|
|
Hong Kong 22.3 114.2 Hong Kong
|
|||
|
|
Cangzhou 38.3047 116.8387 China
|
|||
|
|
Riyadh 24.6333 46.7167 Saudi Arabia
|
|||
|
|
Santiago -33.4372 -70.6506 Chile
|
|||
|
|
Xingtai 37.0717 114.5048 China
|
|||
|
|
Zhumadian 33.014 114.022 China
|
|||
|
|
Chattogram 22.335 91.8325 Bangladesh
|
|||
|
|
Surabaya -7.2458 112.7378 Indonesia
|
|||
|
|
Zhanjiang 21.2701 110.3575 China
|
|||
|
|
Bijie 27.284 105.292 China
|
|||
|
|
Yancheng 33.3482 120.1626 China
|
|||
|
|
Hengyang 26.894 112.572 China
|
|||
|
|
Zunyi 27.722 107.031 China
|
|||
|
|
Shaoyang 27.2395 111.4679 China
|
|||
|
|
Surat 21.1702 72.8311 India
|
|||
|
|
Shangrao 28.4551 117.9431 China
|
|||
|
|
Xinyang 32.149 114.091 China
|
|||
|
|
Madrid 40.4169 -3.7033 Spain
|
|||
|
|
Baghdad 33.3153 44.3661 Iraq
|
|||
|
|
Maoming 21.6627 110.9255 China
|
|||
|
|
Jieyang 23.551 116.3727 China
|
|||
|
|
Miami 25.784 -80.2101 United States
|
|||
|
|
Singapore 1.3 103.8 Singapore
|
|||
|
|
Houston 29.786 -95.3885 United States
|
|||
|
|
Liaocheng 36.4559 115.9852 China
|
|||
|
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Huanggang 30.4537 114.8724 China
|
|||
|
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Dalian 38.9 121.6 China
|
|||
|
|
Dallas 32.7935 -96.7667 United States
|
|||
|
|
Qingdao 36.0669 120.3827 China
|
|||
|
|
Yulin 22.654 110.181 China
|
|||
|
|
Douala 4.05 9.7 Cameroon
|
|||
|
|
Qujing 25.491 103.796 China
|
|||
|
|
Nangandao 35.3036 113.9268 China
|
|||
|
|
Philadelphia 40.0077 -75.1339 United States
|
|||
|
|
Pudong 31.2347 121.5064 China
|
|||
|
|
Toronto 43.7417 -79.3733 Canada
|
|||
|
|
Zhengzhou 34.764 113.684 China
|
|||
|
|
Dezhou 37.436 116.359 China
|
|||
|
|
Nanchong 30.8372 106.1106 China
|
|||
|
|
Jinan 36.6702 117.0207 China
|
|||
|
|
Giza 29.987 31.2118 Egypt
|
|||
|
|
Nairobi -1.2864 36.8172 Kenya
|
|||
|
|
Guadalajara 20.6767 -103.3475 Mexico
|
|||
|
|
Ankara 39.93 32.85 Turkey
|
|||
|
|
Tai'an 36.202 117.087 China
|
|||
|
|
Langfang 39.5383 116.6835 China
|
|||
|
|
Dazhou 31.2093 107.4678 China
|
|||
|
|
Saint Petersburg 59.9375 30.3086 Russia
|
|||
|
|
Monterrey 25.6667 -100.3 Mexico
|
|||
|
|
Belo Horizonte -19.9167 -43.9333 Brazil
|
|||
|
|
Suzhou 33.6333 116.9683 China
|
|||
|
|
Yongzhou 26.42 111.613 China
|
|||
|
|
Changde 29.031 111.699 China
|
|||
|
|
Xiangyang 32.01 112.122 China
|
|||
|
|
Rangoon 16.795 96.16 Burma
|
|||
|
|
Atlanta 33.7628 -84.422 United States
|
|||
|
|
Washington 38.9047 -77.0163 United States
|
|||
|
|
Zhaotong 27.338 103.717 China
|
|||
|
|
Zhangzhou 24.513 117.647 China
|
|||
|
|
Melbourne -37.8142 144.9631 Australia
|
|||
|
|
Yichun 27.816 114.417 China
|
|||
|
|
Bozhou 33.8626 115.7742 China
|
|||
|
|
Suqian 33.9331 118.2831 China
|
|||
|
|
Abidjan 5.3167 -4.0333 Côte d’Ivoire
|
|||
|
|
Ji'an 27.0912 114.9668 China
|
|||
|
|
Guilin 25.275 110.296 China
|
|||
|
|
Pingdingshan 33.735 113.2999 China
|
|||
|
|
Berlin 52.52 13.405 Germany
|
|||
|
|
Alexandria 31.1975 29.8925 Egypt
|
|||
|
|
Mianyang 31.468 104.679 China
|
|||
|
|
Sydney -33.8678 151.21 Australia
|
|||
|
|
Huanglongsi 34.795 114.345 China
|
|||
|
|
Barcelona 41.3828 2.1769 Spain
|
|||
|
|
Yuncheng 35.0267 111.007 China
|
|||
|
|
Cape Town -33.9253 18.4239 South Africa
|
|||
|
|
Changsha 28.228 112.939 China
|
|||
|
|
Jeddah 21.5433 39.1728 Saudi Arabia
|
|||
|
|
Weinan 34.5206 109.471 China
|
|||
|
|
Chenzhou 25.77 113.016 China
|
|||
|
|
Jiangmen 22.5789 113.0815 China
|
|||
|
|
Jiujiang 29.661 115.954 China
|
|||
|
|
Xinpu 34.5966 119.2214 China
|
|||
|
|
Yibin 28.752 104.643 China
|
|||
|
|
Huaihua 27.5698 110.0016 China
|
|||
|
|
Yangzhou 32.3912 119.4363 China
|
|||
|
|
Taizhou 32.4567 119.9229 China
|
|||
|
|
Kunming 25.0464 102.7094 China
|
|||
|
|
Yiyang 28.5549 112.356 China
|
|||
|
|
Changchun 43.897 125.326 China
|
|||
|
|
Lu'an 31.736 116.52 China
|
|||
|
|
Jiangguanchi 34.0244 113.8201 China
|
|||
|
|
Meizhou 24.289 116.122 China
|
|||
|
|
Urumqi 43.8225 87.6125 China
|
|||
|
|
Suzhou 31.3 120.6194 China
|
|||
|
|
Boston 42.3188 -71.0852 United States
|
|||
|
|
Izmir 38.42 27.14 Turkey
|
|||
|
|
Guigang 23.112 109.599 China
|
|||
|
|
Shantou 23.354 116.682 China
|
|||
|
|
Kabul 34.5253 69.1783 Afghanistan
|
|||
|
|
Xiaoganzhan 30.918 113.957 China
|
|||
|
|
Bamako 12.6392 -8.0028 Mali
|
|||
|
|
Luzhou 28.871 105.442 China
|
|||
|
|
Hefei 31.8206 117.2273 China
|
|||
|
|
Hengshui 37.739 115.669 China
|
|||
|
|
Fortaleza -3.7275 -38.5275 Brazil
|
|||
|
|
Anqing 30.5318 117.1153 China
|
|||
|
|
Liuzhou 24.3264 109.4281 China
|
|||
|
|
Zhangjiakou 40.769 114.886 China
|
|||
|
|
Zhaoqing 23.05 112.4667 China
|
|||
|
|
Shijiazhuang 38.0425 114.51 China
|
|||
|
|
Ningbo 29.8603 121.6245 China
|
|||
|
|
Qiqihar 47.3549 123.9182 China
|
|||
|
|
Phoenix 33.5722 -112.0892 United States
|
|||
|
|
Fuzhou 27.949 116.358 China
|
|||
|
|
Chifeng 42.257 118.888 China
|
|||
|
|
Xiaoxita 30.692 111.287 China
|
|||
|
|
Amman 31.9497 35.9328 Jordan
|
|||
|
|
Chuzhou 32.256 118.333 China
|
|||
|
|
Linfen 36.088 111.519 China
|
|||
|
|
Qingyuan 23.682 113.056 China
|
|||
|
|
Xianyang 34.3299 108.7088 China
|
|||
|
|
Loudi 27.6998 111.9944 China
|
|||
|
|
Binzhou 37.383 117.971 China
|
|||
|
|
Zhuzhou 27.829 113.133 China
|
|||
|
|
Taiyuan 37.8704 112.5497 China
|
|||
|
|
Nanning 22.8167 108.3275 China
|
|||
|
|
Harbin 45.7576 126.6409 China
|
|||
|
|
Abuja 9.0667 7.4833 Nigeria
|
|||
|
|
Yokohama 35.4442 139.6381 Japan
|
|||
|
|
Suihua 46.654 126.969 China
|
|||
|
|
Zaozhuang 34.8109 117.3238 China
|
|||
|
|
Detroit 42.3834 -83.1024 United States
|
|||
|
|
Xiamen 24.4796 118.0889 China
|
|||
|
|
Neijiang 29.5802 105.058 China
|
|||
|
|
Montreal 45.5089 -73.5617 Canada
|
|||
|
|
Fuzhou 26.0743 119.2964 China
|
|||
|
|
Baicheng 23.903 106.619 China
|
|||
|
|
Wuhu 31.3526 118.4331 China
|
|||
|
|
Yulinshi 38.2858 109.7341 China
|
|||
|
|
Medan 3.5894 98.6739 Indonesia
|
|||
|
|
Wenzhou 27.9938 120.6993 China
|
|||
|
|
Changzhou 31.811 119.974 China
|
|||
|
|
Puyang 35.7627 115.0292 China
|
|||
|
|
Jiaozuo 35.2157 113.2419 China
|
|||
|
|
Nanchang 28.683 115.858 China
|
|||
|
|
Seattle 47.6211 -122.3244 United States
|
|||
|
|
Ibadan 7.3964 3.9167 Nigeria
|
|||
|
|
Casablanca 33.5333 -7.5833 Morocco
|
|||
|
|
Kumasi 6.7 -1.625 Ghana
|
|||
|
|
Deyang 31.127 104.398 China
|
|||
|
|
Busan 35.18 129.075 Korea
|
|||
|
|
Hohhot 40.842 111.749 China
|
|||
|
|
Hechi 24.693 108.085 China
|
|||
|
|
Algiers 36.7539 3.0589 Algeria
|
|||
|
|
Tangshan 39.6294 118.1739 China
|
|||
|
|
Shiyan 32.629 110.7987 China
|
|||
|
|
Lucknow 26.85 80.95 India
|
|||
|
|
Mashhad 36.3264 59.5433 Iran
|
|||
|
|
San Francisco 37.7558 -122.4449 United States
|
|||
|
|
Boankra 6.6944 -1.4028 Ghana
|
|||
|
|
Dubai 25.2631 55.2972 United Arab Emirates
|
|||
|
|
Anshan 41.108 122.994 China
|
|||
|
|
Baojishi 34.363 107.238 China
|
|||
|
|
Qinzhou 21.981 108.654 China
|
|||
|
|
Guiyang 26.647 106.63 China
|
|||
|
|
Bengbu 32.917 117.389 China
|
|||
|
|
Bazhou 31.868 106.748 China
|
|||
|
|
Suining 30.533 105.593 China
|
|||
|
|
Wuxi 31.491 120.312 China
|
|||
|
|
Kotla Qasim Khan 32.5833 73.75 Pakistan
|
|||
|
|
Hanzhong 33.0664 107.0232 China
|
|||
|
|
Putian 25.4526 119.0078 China
|
|||
|
|
Zhenjiang 32.188 119.424 China
|
|||
|
|
Guang'an 30.4564 106.6326 China
|
|||
|
|
Faisalabad 31.4167 73.0911 Pakistan
|
|||
|
|
Changzhi 36.195 113.117 China
|
|||
|
|
Tongren 27.7316 109.1895 China
|
|||
|
|
Leshan 29.552 103.766 China
|
|||
|
|
Santa Cruz de la Sierra -17.7892 -63.1975 Bolivia
|
|||
|
|
Qinhuangdao 39.8882 119.5202 China
|
|||
|
|
Jaipur 26.9 75.8 India
|
|||
|
|
Xinzhou 38.416 112.734 China
|
|||
|
|
Lanzhou 36.0606 103.8268 China
|
|||
|
|
Wuzhou 23.4767 111.279 China
|
|||
|
|
Athens 37.9842 23.7281 Greece
|
|||
|
|
San Diego 32.8313 -117.1222 United States
|
|||
|
|
Addis Ababa 9.03 38.74 Ethiopia
|
|||
|
|
Taichung 24.1439 120.6794 Taiwan
|
|||
|
|
Huainan 32.6314 117.0194 China
|
|||
|
|
Guatemala City 14.6133 -90.5353 Guatemala
|
|||
|
|
Kuwait City 29.3697 47.9783 Kuwait
|
|||
|
|
Budapest 47.4925 19.0514 Hungary
|
|||
|
|
Qincheng 34.5809 105.7311 China
|
|||
|
|
Rizhao 35.417 119.527 China
|
|||
|
|
Quezon City 14.65 121.0475 Philippines
|
|||
|
|
Sanaa 15.3483 44.2064 Yemen
|
|||
|
|
Tashkent 41.3111 69.2797 Uzbekistan
|
|||
|
|
Kyiv 50.45 30.5233 Ukraine
|
|||
|
|
Meishan 30.0771 103.8484 China
|
|||
|
|
Incheon 37.4833 126.6333 Korea
|
|||
|
|
Birmingham 52.48 -1.9025 United Kingdom
|
|||
|
|
Ningde 26.6662 119.5477 China
|
|||
|
|
Zhongshan 22.517 113.3925 China
|
|||
|
|
Weihai 37.5133 122.1205 China
|
|||
|
|
Bursa 40.1833 29.05 Turkey
|
|||
|
|
Minneapolis 44.9635 -93.2678 United States
|
|||
|
|
Mbuji-Mayi -6.15 23.6 Congo (Kinshasa)
|
|||
|
|
Haikou 20.0186 110.3488 China
|
|||
|
|
Tongliao 43.654 122.243 China
|
|||
|
|
Chaoyang 41.571 120.453 China
|
|||
|
|
La Paz -16.4958 -68.1333 Bolivia
|
|||
|
|
Pyongyang 39.0167 125.7475 Korea
|
|||
|
|
Tampa 27.9945 -82.4447 United States
|
|||
|
|
Shaoguan 24.811 113.597 China
|
|||
|
|
Heyuan 23.7443 114.7002 China
|
|||
|
|
Brasilia -15.7939 -47.8828 Brazil
|
|||
|
|
Omdurman 15.65 32.4833 Sudan
|
|||
|
|
Malang -7.98 112.62 Indonesia
|
|||
|
|
Stuttgart 48.7775 9.18 Germany
|
|||
|
|
Daqing 46.589 125.104 China
|
|||
|
|
Rome 41.8933 12.4828 Italy
|
|||
|
|
Brooklyn 40.6501 -73.9496 United States
|
|||
|
|
Kaohsiung 22.615 120.2975 Taiwan
|
|||
|
|
Xiangtan 27.8313 112.9454 China
|
|||
|
|
Longyan 25.076 117.017 China
|
|||
|
|
Baotou 40.6213 109.9532 China
|
|||
|
|
Handan 36.601 114.487 China
|
|||
|
|
Jinzhou 41.129 121.148 China
|
|||
|
|
Kanpur 26.4499 80.3319 India
|
|||
|
|
Denver 39.762 -104.8758 United States
|
|||
|
|
Nanping 26.6418 118.1774 China
|
|||
|
|
Gazipura 23.9889 90.375 Bangladesh
|
|||
|
|
Shanwei 22.7872 115.3756 China
|
|||
|
|
Chaozhou 23.658 116.622 China
|
|||
|
|
Guayaquil -2.19 -79.8875 Ecuador
|
|||
|
|
Weifang 36.708 119.162 China
|
|||
|
|
Huai'an 33.551 119.113 China
|
|||
|
|
Zibo 36.8138 118.055 China
|
|||
|
|
Ankang 32.6854 109.029 China
|
|||
|
|
Mogadishu 2.0392 45.3419 Somalia
|
|||
|
|
Munich 48.1375 11.575 Germany
|
|||
|
|
Gulou 26.0865 119.298 China
|
|||
|
|
Taipei 25.0375 121.5625 Taiwan
|
|||
|
|
Bekasi -6.2349 106.9923 Indonesia
|
|||
|
|
Damascus 33.5131 36.2919 Syria
|
|||
|
|
Sanming 26.2634 117.6389 China
|
|||
|
|
Yangjiang 21.857 111.983 China
|
|||
|
|
Jiamusi 46.8 130.319 China
|
|||
|
|
Luohe 33.583 114.0109 China
|
|||
|
|
Medellin 6.2308 -75.5906 Colombia
|
|||
|
|
Dingxi 35.608 104.592 China
|
|||
|
|
Shaoxing 30.0511 120.5833 China
|
|||
|
|
Yantai 37.4646 121.4478 China
|
|||
|
|
Huizhou 23.112 114.416 China
|
|||
|
|
Lishui 28.468 119.923 China
|
|||
|
|
Xuanzhou 30.939 118.759 China
|
|||
|
|
Khowrhesht 36.205 49.6872 Iran
|
|||
|
|
Mirzapur 25.146 82.569 India
|
|||
|
|
Zigong 29.339 104.779 China
|
|||
|
|
Hamburg 53.55 10 Germany
|
|||
|
|
Guangyuan 32.436 105.844 China
|
|||
|
|
Cali 3.4206 -76.5222 Colombia
|
|||
|
|
Huangshi 30.2011 115.039 China
|
|||
|
|
Xining 36.6224 101.7804 China
|
|||
|
|
Lusaka -15.4167 28.2833 Zambia
|
|||
|
|
Ouagadougou 12.3686 -1.5275 Burkina Faso
|
|||
|
|
Yaounde 3.8667 11.5167 Cameroon
|
|||
|
|
Zhuhai 22.2716 113.5769 China
|
|||
|
|
Huludao 40.711 120.837 China
|
|||
|
|
Baoshan 25.112 99.161 China
|
|||
|
|
Mecca 21.4225 39.8233 Saudi Arabia
|
|||
|
|
Vancouver 49.25 -123.1 Canada
|
|||
|
|
Lianshan 40.7523 120.828 China
|
|||
|
|
Beirut 33.8983 35.5057 Lebanon
|
|||
|
|
Salvador -12.9747 -38.4767 Brazil
|
|||
|
|
Bucharest 44.4325 26.1039 Romania
|
|||
|
|
Longba 33.3702 104.9603 China
|
|||
|
|
Nagpur 21.1497 79.0806 India
|
|||
|
|
Queens 40.7498 -73.7976 United States
|
|||
|
|
Jilin 43.8519 126.5481 China
|
|||
|
|
Tieling 42.2237 123.726 China
|
|||
|
|
Accra 5.55 -0.2 Ghana
|
|||
|
|
Yunfu 22.9152 112.0445 China
|
|||
|
|
Bekasi Kota -6.2333 107 Indonesia
|
|||
|
|
Daegu 35.8717 128.6017 Korea
|
|||
|
|
Ghaziabad 28.67 77.42 India
|
|||
|
|
Luoyang 34.6197 112.4539 China
|
|||
|
|
Brisbane -27.4678 153.0281 Australia
|
|||
|
|
Anshun 26.2531 105.9476 China
|
|||
|
|
Riverside 33.9381 -117.3949 United States
|
|||
|
|
Yingkou 40.625 122.219 China
|
|||
|
|
Colombo 6.9344 79.8428 Sri Lanka
|
|||
|
|
Yanjiang 30.129 104.627 China
|
|||
|
|
Baku 40.3953 49.8822 Azerbaijan
|
|||
|
|
Antananarivo -18.91 47.525 Madagascar
|
|||
|
|
Mudanjiang 44.5514 129.6329 China
|
|||
|
|
Fukuoka 33.59 130.4017 Japan
|
|||
|
|
Yan'an 36.65 109.494 China
|
|||
|
|
Jincheng 35.491 112.852 China
|
|||
|
|
Nantong 31.981 120.894 China
|
|||
|
|
Lincang 23.884 100.089 China
|
|||
|
|
Yuxi 24.347 102.527 China
|
|||
|
|
Las Vegas 36.2333 -115.2654 United States
|
|||
|
|
Caracas 10.4806 -66.9036 Venezuela
|
|||
|
|
Tangerang -6.1703 106.6403 Indonesia
|
|||
|
|
Laibin 23.7501 109.2212 China
|
|||
|
|
Konya 37.8667 32.4833 Turkey
|
|||
|
|
Supaul 26.126 86.605 India
|
|||
|
|
Vienna 48.2083 16.3725 Austria
|
|||
|
|
Esfahan 32.6447 51.6675 Iran
|
|||
|
|
Baltimore 39.3051 -76.6144 United States
|
|||
|
|
Shengli 37.434 118.6746 China
|
|||
|
|
Dandong 40.1167 124.3833 China
|
|||
|
|
Qinbaling 35.7278 107.64 China
|
|||
|
|
Gaoping 30.7824 106.1281 China
|
|||
|
|
Awka 6.2069 7.0678 Nigeria
|
|||
|
|
Taizhou 28.6557 121.4208 China
|
|||
|
|
Ma'anshan 31.669 118.507 China
|
|||
|
|
Harare -17.8292 31.0522 Zimbabwe
|
|||
|
|
Perth -31.9559 115.8606 Australia
|
|||
|
|
St. Louis 38.6359 -90.2451 United States
|
|||
|
|
Phnom Penh 11.5694 104.9211 Cambodia
|
|||
|
|
Depok -6.394 106.8225 Indonesia
|
|||
|
|
Stockholm 59.3294 18.0686 Sweden
|
|||
|
|
Puning 23.298 116.166 China
|
|||
|
|
Huaibei 33.956 116.798 China
|
|||
|
|
Kowloon 22.3167 114.1833 Hong Kong
|
|||
|
|
Cordoba -31.4167 -64.1833 Argentina
|
|||
|
|
Haiphong 20.8651 106.6838 Vietnam
|
|||
|
|
Zamboanga City 6.9042 122.0761 Philippines
|
|||
|
|
Chongzuo 22.377 107.365 China
|
|||
|
|
Rawalpindi 33.6 73.0333 Pakistan
|
|||
|
|
Portland 45.5371 -122.65 United States
|
|||
|
|
Kano 12 8.5167 Nigeria
|
|||
|
|
Yushan 31.322 120.985 China
|
|||
|
|
Havana 23.1367 -82.3589 Cuba
|
|||
|
|
Hezhou 24.4042 111.5672 China
|
|||
|
|
Pingliang 35.5424 106.6649 China
|
|||
|
|
Vadodara 22.3 73.2 India
|
|||
|
|
Manaus -3.1189 -60.0217 Brazil
|
|||
|
|
Qingyang 24.7816 118.5517 China
|
|||
|
|
San Antonio 29.4632 -98.5238 United States
|
|||
|
|
Rajkot 22.3 70.7833 India
|
|||
|
|
Shangzhou 33.868 109.9244 China
|
|||
|
|
Vishakhapatnam 17.7042 83.2978 India
|
|||
|
|
Sanmenxia 34.7732 111.2004 China
|
|||
|
|
Baicheng 45.62 122.838 China
|
|||
|
|
Gujranwala 32.1567 74.19 Pakistan
|
|||
|
|
Aleppo 36.2 37.16 Syria
|
|||
|
|
Tijuana 32.525 -117.0333 Mexico
|
|||
|
|
Bamenda 5.9614 10.1517 Cameroon
|
|||
|
|
Minsk 53.9 27.5667 Belarus
|
|||
|
|
Indore 22.7167 75.8472 India
|
|||
|
|
Karaj 35.8272 50.9489 Iran
|
|||
|
|
Kananga -5.897 22.4488 Congo (Kinshasa)
|
|||
|
|
Peshawar 34.0144 71.5675 Pakistan
|
|||
|
|
Sapporo 43.0619 141.3544 Japan
|
|||
|
|
Sacramento 38.5677 -121.4685 United States
|
|||
|
|
Tilburg 51.55 5.0833 Netherlands
|
|||
|
|
Pingxiang 27.659 113.887 China
|
|||
|
|
Ecatepec 19.6097 -99.06 Mexico
|
|||
|
|
Almaty 43.24 76.915 Kazakhstan
|
|||
|
|
Austin 30.3005 -97.7522 United States
|
|||
|
|
Yinchuan 38.485 106.225 China
|
|||
|
|
Santos -23.9369 -46.325 Brazil
|
|||
|
|
Blantyre -15.7861 35.0058 Malawi
|
|||
|
|
Thane 19.1972 72.9722 India
|
|||
|
|
Orlando 28.4773 -81.337 United States
|
|||
|
|
Tainan 22.9833 120.1833 Taiwan
|
|||
|
|
Xiping 40.082 113.2981 China
|
|||
|
|
Multan 30.1978 71.4697 Pakistan
|
|||
|
|
Santa Cruz -17.8 -63.1833 Bolivia
|
|||
|
|
Port Harcourt 4.8242 7.0336 Nigeria
|
|||
|
|
Jixi 45.295 130.969 China
|
|||
|
|
Fushun 41.881 123.957 China
|
|||
|
|
Warsaw 52.23 21.0111 Poland
|
|||
|
|
Beihai 21.481 109.12 China
|
|||
|
|
Fuxin 42.022 121.67 China
|
|||
|
|
Wuwei 37.929 102.638 China
|
|||
|
|
Siping 43.1668 124.3506 China
|
|||
|
|
San Juan 18.3985 -66.061 Puerto Rico
|
|||
|
|
Mersin 36.8 34.6333 Turkey
|
|||
|
|
Bhopal 23.2599 77.4126 India
|
|||
|
|
Mosul 36.34 43.13 Iraq
|
|||
|
|
Lubumbashi -11.6647 27.4794 Congo (Kinshasa)
|
|||
|
|
Davao 7.07 125.6 Philippines
|
|||
|
|
Curitiba -25.4297 -49.2711 Brazil
|
|||
|
|
San Jose 37.3012 -121.848 United States
|
|||
|
|
Shuyangzha 34.1299 118.7734 China
|
|||
|
|
Adana 37 35.3213 Turkey
|
|||
|
|
Quito -0.22 -78.5125 Ecuador
|
|||
|
|
Pittsburgh 40.4397 -79.9763 United States
|
|||
|
|
Brazzaville -4.2694 15.2711 Congo (Brazzaville)
|
|||
|
|
Hyderabad City 25.3792 68.3683 Pakistan
|
|||
|
|
Diyarbakir 37.91 40.24 Turkey
|
|||
|
|
Indianapolis 39.7771 -86.1458 United States
|
|||
|
|
Pimpri-Chinchwad 18.6186 73.8037 India
|
|||
|
|
Masqat 23.5889 58.4083 Oman
|
|||
|
|
Montevideo -34.8836 -56.1819 Uruguay
|
|||
|
|
Shuozhou 39.3317 112.4329 China
|
|||
|
|
Manhattan 40.7834 -73.9662 United States
|
|||
|
|
Cincinnati 39.1413 -84.506 United States
|
|||
|
|
Kansas City 39.1238 -94.5541 United States
|
|||
|
|
Patna 25.594 85.1376 India
|
|||
|
|
Tegucigalpa 14.1058 -87.2047 Honduras
|
|||
|
|
Kampala 0.3136 32.5811 Uganda
|
|||
|
|
Cleveland 41.4764 -81.6805 United States
|
|||
|
|
Sanzhou 30.82 108.4 China
|
|||
|
|
Changshu 31.656 120.753 China
|
|||
|
|
Heihe 50.2401 127.521 China
|
|||
|
|
Conakry 9.5092 -13.7122 Guinea
|
|||
|
|
Ximeicun 24.9612 118.3849 China
|
|||
|
|
Caloocan City 14.65 120.97 Philippines
|
|||
|
|
Masvingo -20.0744 30.8328 Zimbabwe
|
|||
|
|
Zhongli 24.965 121.2168 Taiwan
|
|||
|
|
Novosibirsk 55.05 82.95 Russia
|
|||
|
|
Bilaspur 22.09 82.15 India
|
|||
|
|
Semarang -6.99 110.4225 Indonesia
|
|||
|
|
Jingdezhen 29.2917 117.1986 China
|
|||
|
|
Ludhiana 30.91 75.85 India
|
|||
|
|
Liaoyang 41.279 123.176 China
|
|||
|
|
Chengtangcun 35.0833 117.15 China
|
|||
|
|
Rajshahi 24.3667 88.6 Bangladesh
|
|||
|
|
Balandougou 13.3558 -9.5517 Mali
|
|||
|
|
Jiangyin 31.839 120.295 China
|
|||
|
|
Valencia 39.47 -0.3764 Spain
|
|||
|
|
Agra 27.18 78.02 India
|
|||
|
|
Leon de los Aldama 21.1167 -101.6833 Mexico
|
|||
|
|
Puebla 19.0333 -98.1833 Mexico
|
|||
|
|
Columbus 39.9862 -82.9855 United States
|
|||
|
|
Yopougon 5.3167 -4.0667 Côte d’Ivoire
|
|||
|
|
Hebi 35.748 114.297 China
|
|||
|
|
Shiraz 29.61 52.5425 Iran
|
|||
|
|
Madurai 9.9252 78.1198 India
|
|||
|
|
Huzhou 30.8925 120.0875 China
|
|||
|
|
Tabriz 38.0814 46.3006 Iran
|
|||
|
|
Jamshedpur 22.7925 86.1842 India
|
|||
|
|
Maracaibo 10.6333 -71.6333 Venezuela
|
|||
|
|
Sofia 42.7 23.33 Bulgaria
|
|||
|
|
San Jose 9.9325 -84.08 Costa Rica
|
|||
|
|
Prayagraj 25.4358 81.8464 India
|
|||
|
|
Palembang -2.9861 104.7556 Indonesia
|
|||
|
|
Kawasaki 35.5167 139.7 Japan
|
|||
|
|
Kobe 34.69 135.1956 Japan
|
|||
|
|
Jiaxing 30.747 120.756 China
|
|||
|
|
Kigali -1.9439 30.0594 Rwanda
|
|||
|
|
Zhangjiajie 29.117 110.479 China
|
|||
|
|
Baiyin 36.5451 104.1389 China
|
|||
|
|
Guiping 23.4 110.0833 China
|
|||
|
|
Lianjiang 21.7333 110.2833 China
|
|||
|
|
Jianguang 28.1958 115.7833 China
|
|||
|
|
Yucheng 30.01 103.0415 China
|
|||
|
|
Xushan 30.1667 121.2333 China
|
|||
|
|
Panama City 8.9833 -79.5167 Panama
|
|||
|
|
Nneyi-Umuleri 6.3333 6.8333 Nigeria
|
|||
|
|
Leizhou 20.9143 110.0967 China
|
|||
|
|
Gwangju 35.1653 126.8486 Korea
|
|||
|
|
Katako-Kombe -3.4 24.42 Congo (Kinshasa)
|
|||
|
|
Recife -8.05 -34.9 Brazil
|
|||
|
|
Nasik 19.9975 73.7898 India
|
|||
|
|
\.
|
|||
|
|
|
|||
|
|
|
|||
|
|
--
|
|||
|
|
-- PostgreSQL database dump complete
|
|||
|
|
--
|
|||
|
|
|