| Countries | Regions | Cities: 1636 | Hits | Percent |
|---|
| South Korea | Seoul-t'ukpyolsi | Seoul | 2,146 | 11.8 % |
| Brazil | Goias | Goiania | 1,940 | 10.6 % |
| Thailand | Khon Kaen | Bangkok | 805 | 4.4 % |
| Japan | Tokyo | Tokyo | 549 | 3 % |
| China | Beijing | Beijing | 275 | 1.5 % |
| United States | Nevada | Las vegas | 231 | 1.2 % |
| Colombia | Distrito Especial | Bogota | 226 | 1.2 % |
| South Korea | Pusan-jikhalsi | Busan | 179 | 0.9 % |
| India | Karnataka | Bangalore | 150 | 0.8 % |
| Canada | Manitoba | Winnipeg | 139 | 0.7 % |
| South Korea | Taegu-jikhalsi | Daegu | 132 | 0.7 % |
| India | Karnataka | Bengaluru | 131 | 0.7 % |
| South Korea | Inch'on-jikhalsi | Incheon | 128 | 0.7 % |
| South Korea | Kyonggi-do | Yongin | 123 | 0.6 % |
| Russian Federation | Sverdlovsk | Yekaterinburg | 117 | 0.6 % |
| United States | Oregon | Boardman | 107 | 0.5 % |
| Brazil | Rio Grande do Sul | Sapucaia | 95 | 0.5 % |
| Japan | Osaka | Osaka | 94 | 0.5 % |
| South Korea | Ulsan-gwangyoksi | Ulsan | 80 | 0.4 % |
| South Korea | Kyonggi-do | Seongnam | 76 | 0.4 % |
| Japan | Kanagawa | Yokohama | 70 | 0.3 % |
| South Korea | Kyonggi-do | Namyangju | 68 | 0.3 % |
| South Korea | Taejon-jikhalsi | Daejeon | 67 | 0.3 % |
| South Korea | Kyonggi-do | Yeosu | 67 | 0.3 % |
| South Korea | Kyonggi-do | Anyang | 66 | 0.3 % |
| United States | Virginia | Ashburn | 65 | 0.3 % |
| Canada | Quebec | Montréal | 62 | 0.3 % |
| Brazil | Sao Paulo | Maua | 60 | 0.3 % |
| South Korea | Kangwon-do | Sokcho | 59 | 0.3 % |
| Japan | Aichi | Nagoya | 58 | 0.3 % |
| United States | Washington | Seattle | 55 | 0.3 % |
| United States | Colorado | Montrose | 53 | 0.2 % |
| United States | California | Mountain view | 53 | 0.2 % |
| Thailand | Khon Kaen | Huai khwang | 53 | 0.2 % |
| United States | Texas | Houston | 49 | 0.2 % |
| China | Guangdong | Guangzhou | 49 | 0.2 % |
| South Korea | Kwangju-jikhalsi | Gwangju | 48 | 0.2 % |
| Japan | Fukuoka | Fukuoka | 47 | 0.2 % |
| India | Andhra Pradesh | Hyderabad | 46 | 0.2 % |
| Brazil | Rio Grande do Sul | Canoas | 45 | 0.2 % |
| Germany | Hessen | Kassel | 42 | 0.2 % |
| South Korea | Kyongsang-bukto | Pohang | 42 | 0.2 % |
| Brazil | Sao Paulo | Sao paulo | 41 | 0.2 % |
| South Korea | Kyonggi-do | Suwon | 41 | 0.2 % |
| South Korea | Ch'ungch'ong-bukto | Cheongju | 40 | 0.2 % |
| Japan | Saitama | Saitama | 39 | 0.2 % |
| Brazil | Rio Grande do Sul | Porto alegre | 38 | 0.2 % |
| Thailand | Nonthaburi | Nonthaburi | 38 | 0.2 % |
| Canada | Ontario | Toronto | 36 | 0.1 % |
| Japan | Kyoto | Kyoto | 35 | 0.1 % |
| Japan | Kanagawa | Kawasaki | 34 | 0.1 % |
| South Korea | Seoul-t'ukpyolsi | Koyang | 34 | 0.1 % |
| South Korea | Kyonggi-do | Bucheon | 32 | 0.1 % |
| United States | Missouri | Springfield | 31 | 0.1 % |
| Japan | Hokkaido | Sapporo | 31 | 0.1 % |
| South Korea | Kyonggi-do | Ansan | 31 | 0.1 % |
| United States | California | Newark | 31 | 0.1 % |
| United States | Illinois | Naperville | 30 | 0.1 % |
| South Korea | Kyonggi-do | Gyeonggi-do | 30 | 0.1 % |
| Brazil | Rio Grande do Sul | Esteio | 30 | 0.1 % |
| Japan | Hyogo | Kobe | 30 | 0.1 % |
| South Korea | Ch'ungch'ong-namdo | Seosan | 29 | 0.1 % |
| United States | Washington | Kirkland | 29 | 0.1 % |
| South Korea | Seoul-t'ukpyolsi | Seocho | 28 | 0.1 % |
| South Korea | Kyongsang-namdo | Changwon | 28 | 0.1 % |
| United States | Washington | Bothell | 27 | 0.1 % |
| United States | Nevada | North las vegas | 26 | 0.1 % |
| South Korea | Kyonggi-do | Pyongtaek | 26 | 0.1 % |
| South Korea | Kyongsang-namdo | Jinju | 26 | 0.1 % |
| Brazil | Sao Paulo | Campinas | 25 | 0.1 % |
| United States | Washington | Kenmore | 25 | 0.1 % |
| United States | California | Hanford | 25 | 0.1 % |
| United States | California | San jose | 24 | 0.1 % |
| South Korea | Kyonggi-do | Osan | 24 | 0.1 % |
| United States | Nevada | Henderson | 23 | 0.1 % |
| South Korea | Kyonggi-do | Uiwang | 23 | 0.1 % |
| South Korea | Cholla-bukto | Jeonju | 23 | 0.1 % |
| Brazil | Rio Grande do Sul | Sapucaia do sul | 21 | 0.1 % |
| South Korea | Kyongsang-bukto | Gyeongsan | 21 | 0.1 % |
| United States | Washington | Redmond | 21 | 0.1 % |
| Japan | Hiroshima | Hiroshima | 21 | 0.1 % |
| Japan | Okayama | Okayama | 20 | 0.1 % |
| Thailand | Rayong | Rayong | 20 | 0.1 % |
| Thailand | Chiang Mai | Chiang mai | 20 | 0.1 % |
| Japan | Chiba | Chiba | 20 | 0.1 % |
| South Korea | Seoul-t'ukpyolsi | Yeongdeungpo-gu | 19 | 0.1 % |
| Republic of Serbia | | Belgrade | 19 | 0.1 % |
| South Korea | Kangwon-do | Inje | 19 | 0.1 % |
| South Korea | Cholla-namdo | Suncheon | 19 | 0.1 % |
| Ghana | Greater Accra | Accra | 18 | 0 % |
| South Korea | Kyonggi-do | Hanam | 18 | 0 % |
| South Korea | Kangwon-do | Gangneung | 18 | 0 % |
| United States | Nevada | Mesquite | 18 | 0 % |
| United States | New York | Staten island | 17 | 0 % |
| South Korea | Kyonggi-do | Gunpo | 17 | 0 % |
| South Korea | Kyonggi-do | Kwachon | 17 | 0 % |
| Chile | Region Metropolitana | Santiago | 17 | 0 % |
| Brazil | Distrito Federal | Brasilia | 16 | 0 % |
| South Korea | Seoul-t'ukpyolsi | Mapo | 16 | 0 % |
| South Korea | Kyonggi-do | Bundang-gu | 16 | 0 % |
| Japan | Kochi | Kochi | 16 | 0 % |
| South Korea | Kyonggi-do | Anjung | 16 | 0 % |
| South Korea | Ch'ungch'ong-namdo | Gongju | 15 | 0 % |
| United States | Maryland | Baltimore | 15 | 0 % |
| South Korea | Kyonggi-do | Hwaseong-si | 15 | 0 % |
| Malaysia | Wilayah Persekutuan | Kuala lumpur | 15 | 0 % |
| Japan | Kanagawa | Sagamihara | 15 | 0 % |
| Russian Federation | Sverdlovsk | Rezh | 15 | 0 % |
| United States | California | Diamond bar | 15 | 0 % |
| Guatemala | Guatemala | Guatemala city | 15 | 0 % |
| United States | Tennessee | Memphis | 15 | 0 % |
| United States | California | Los angeles | 15 | 0 % |
| Japan | Saitama | Kitamoto | 15 | 0 % |
| Thailand | Songkhla | Songkhla | 14 | 0 % |
| Japan | Miyagi | Sendai | 14 | 0 % |
| South Korea | Ch'ungch'ong-namdo | Yesan | 14 | 0 % |
| United States | Illinois | Chicago | 14 | 0 % |
| Thailand | Khon Kaen | Khon kaen | 14 | 0 % |
| Russian Federation | Moscow City | Moscow | 14 | 0 % |
| United States | Arizona | Phoenix | 14 | 0 % |
| Chile | Bio-Bio | Concepcion | 14 | 0 % |
| South Korea | Ch'ungch'ong-namdo | Cheonan | 14 | 0 % |
| Japan | Tokyo | Koto | 14 | 0 % |
| South Korea | Kangwon-do | Chuncheon | 13 | 0 % |
| India | Tamil Nadu | Chennai | 13 | 0 % |
| United States | New York | Buffalo | 13 | 0 % |
| Bermuda | Hamilton | Hamilton | 13 | 0 % |
| Israel | Yerushalayim | Jerusalem | 13 | 0 % |
| United States | New Jersey | Orange | 13 | 0 % |
| China | Shanghai | Shanghai | 13 | 0 % |
| South Korea | Kyonggi-do | Paju | 13 | 0 % |
| United States | New Jersey | Clifton | 12 | 0 % |
| Japan | Osaka | Sakai | 12 | 0 % |
| Turkey | Istanbul | Istanbul | 12 | 0 % |
| United States | Oklahoma | Oklahoma city | 12 | 0 % |
| South Korea | Kyongsang-namdo | Kimhae | 12 | 0 % |
| Japan | Tokyo | Nerima | 12 | 0 % |
| United States | Washington | Edmonds | 12 | 0 % |
| Japan | Fukuoka | Kitakyushu | 11 | 0 % |
| Japan | Ehime | Matsuyama | 11 | 0 % |
| Thailand | | Ban chan | 11 | 0 % |
| United States | Kentucky | London | 11 | 0 % |
| Canada | Alberta | Calgary | 11 | 0 % |
| Singapore | | Singapore | 11 | 0 % |
| China | Liaoning | Shenyang | 11 | 0 % |
| South Korea | Kyongsang-bukto | Gyeongju | 11 | 0 % |
| Canada | Ontario | Ottawa | 11 | 0 % |
| Sri Lanka | | Colombo | 11 | 0 % |
| Japan | Hyogo | Tokyo | 11 | 0 % |
| Canada | Ontario | Brampton | 11 | 0 % |
| United States | Washington | Sammamish | 11 | 0 % |
| South Korea | Inch'on-jikhalsi | Gwangmyeong | 11 | 0 % |
| Brazil | Sao Paulo | Itaquaquecetuba | 11 | 0 % |
| United States | Missouri | Saint louis | 11 | 0 % |
| Mexico | Distrito Federal | Mexico | 10 | 0 % |
| Russian Federation | Chelyabinsk | Chelyabinsk | 10 | 0 % |
| Japan | Gumma | Maebashi | 10 | 0 % |
| Pakistan | Sindh | Karachi | 10 | 0 % |
| Thailand | Phuket | Phuket | 10 | 0 % |
| Japan | Aichi | Toyota | 10 | 0 % |
| India | Maharashtra | Mumbai | 10 | 0 % |
| United States | California | San francisco | 10 | 0 % |
| Poland | Mazowieckie | Warsaw | 10 | 0 % |
| South Korea | Cholla-namdo | Boseong | 10 | 0 % |
| Japan | Gifu | Gifu | 10 | 0 % |
| South Korea | Ch'ungch'ong-bukto | Chungcheongbuk-do | 9 | 0 % |
| China | Henan | Zhengzhou | 9 | 0 % |
| Brazil | Rio Grande do Sul | Sao leopoldo | 9 | 0 % |
| United States | Florida | Miami | 9 | 0 % |
| United States | Maryland | Ellicott city | 9 | 0 % |
| United States | California | Manteca | 9 | 0 % |
| Japan | Fukui | Fukui | 9 | 0 % |
| South Korea | Kyonggi-do | Kimpo | 9 | 0 % |
| Japan | Oita | Oita | 9 | 0 % |
| United States | California | Menlo park | 9 | 0 % |
| India | Delhi | Delhi | 9 | 0 % |
| Ukraine | Kyyiv | Kiev | 9 | 0 % |
| Russian Federation | Sverdlovsk | Ekaterinburg | 9 | 0 % |
| Japan | Niigata | Niigata | 9 | 0 % |
| Japan | Kumamoto | Kumamoto | 9 | 0 % |
| China | Jiangsu | Nanjing | 9 | 0 % |
| United States | Oregon | Portland | 9 | 0 % |
| Japan | Hyogo | Nishinomiya | 9 | 0 % |
| Japan | Hyogo | Himeji | 8 | 0 % |
| South Korea | | Sejong | 8 | 0 % |
| United States | Colorado | Telluride | 8 | 0 % |
| Thailand | Lampang | Lampang | 8 | 0 % |
| Brazil | Sao Paulo | Americana | 8 | 0 % |
| Japan | Osaka | Kishiwada | 8 | 0 % |
| South Korea | Kyongsang-bukto | Andong | 8 | 0 % |
| Canada | Ontario | Kingston | 8 | 0 % |
| Canada | Quebec | Beauharnois | 8 | 0 % |
| Japan | Shizuoka | Shizuoka | 8 | 0 % |
| United States | Pennsylvania | Pittsburgh | 7 | 0 % |
| South Korea | Seoul-t'ukpyolsi | Gwanak-gu | 7 | 0 % |
| Japan | Tokushima | Tokushima | 7 | 0 % |
| South Korea | Kangwon-do | Wonju | 7 | 0 % |
| South Korea | Seoul-t'ukpyolsi | Dongjak-gu | 7 | 0 % |
| Japan | Aichi | Chita | 7 | 0 % |
| Argentina | Distrito Federal | Almirante brown | 7 | 0 % |
| United States | Washington | Marysville | 7 | 0 % |
| Thailand | Songkhla | Klong | 7 | 0 % |
| India | Tamil Nadu | Coimbatore | 7 | 0 % |
| India | Maharashtra | Pune | 7 | 0 % |
| Brazil | Sao Paulo | Piracicaba | 7 | 0 % |
| Japan | Tokyo | Setagaya | 7 | 0 % |
| Japan | Tokyo | Chofu | 7 | 0 % |
| Canada | British Columbia | Vancouver | 7 | 0 % |
| United States | Washington | Greenbank | 7 | 0 % |
| Thailand | Nakhon Pathom | Nakhon pathom | 7 | 0 % |
| Japan | Kagawa | Takamatsu | 7 | 0 % |
| Japan | Aichi | Ichinomiya | 7 | 0 % |
| Indonesia | Jawa Timur | Surabaya | 7 | 0 % |
| United States | Colorado | Englewood | 7 | 0 % |
| Japan | Nagano | Nagano | 7 | 0 % |
| Japan | Kagoshima | Kagoshima | 7 | 0 % |
| United States | Minnesota | Saint paul | 7 | 0 % |
| Japan | Kanagawa | Hiratsuka | 7 | 0 % |
| South Korea | Ch'ungch'ong-namdo | Nonsan | 7 | 0 % |
| Japan | Osaka | Yao | 7 | 0 % |
| Canada | Ontario | Bracebridge | 7 | 0 % |
| Mexico | Puebla | Tehuacán | 7 | 0 % |
| Japan | Saitama | Soka | 7 | 0 % |
| United States | Maryland | Reisterstown | 7 | 0 % |
| Japan | Osaka | Hirakata | 7 | 0 % |
| Brazil | Rio Grande do Sul | Sao sebastiao do cai | 6 | 0 % |
| Japan | Gumma | Ota | 6 | 0 % |
| Japan | Chiba | Matsudo | 6 | 0 % |
| Thailand | Chachoengsao | Chachoengsao | 6 | 0 % |
| United States | Florida | Orlando | 6 | 0 % |
| Japan | Wakayama | Wakayama | 6 | 0 % |
| Thailand | Ratchaburi | Ratchaburi | 6 | 0 % |
| Japan | Tochigi | Tochigi | 6 | 0 % |
| Japan | Okinawa | Okinawa | 6 | 0 % |
| South Korea | Kyongsang-namdo | Geoje-si | 6 | 0 % |
| Czech Republic | Hlavni Mesto Praha | Prague | 6 | 0 % |
| United States | Colorado | Denver | 6 | 0 % |
| South Korea | Pusan-jikhalsi | Jung-gu | 6 | 0 % |
| Japan | Aichi | Toyohashi | 6 | 0 % |
| Brazil | Rio Grande do Sul | Novo hamburgo | 6 | 0 % |
| United States | Arkansas | Little rock | 6 | 0 % |
| Japan | Mie | Suzuka | 6 | 0 % |
| Japan | Mie | Yokkaichi | 6 | 0 % |
| China | Zhejiang | Hangzhou | 6 | 0 % |
| Thailand | Pathum Thani | Thanyaburi | 6 | 0 % |
| Russian Federation | Khanty-Mansiy | Surgut | 6 | 0 % |
| Japan | Nagasaki | Nagasaki | 6 | 0 % |
| United States | Ohio | Columbus | 6 | 0 % |
| United States | California | San diego | 6 | 0 % |
| United States | Washington | Bonney lake | 6 | 0 % |
| United States | Illinois | Buffalo grove | 6 | 0 % |
| Japan | Tochigi | Utsunomiya | 6 | 0 % |
| Japan | Nara | Nara | 6 | 0 % |
| South Korea | Ch'ungch'ong-bukto | Chungju | 6 | 0 % |
| France | Ile-de-France | Paris | 6 | 0 % |
| Canada | Quebec | Saint-luc | 6 | 0 % |
| United States | Washington | Woodinville | 6 | 0 % |
| United States | District of Columbia | Washington | 5 | 0 % |
| Thailand | Chon Buri | Pattaya | 5 | 0 % |
| United States | Washington | Bellevue | 5 | 0 % |
| Japan | Shizuoka | Hamamatsu | 5 | 0 % |
| Japan | Saitama | Kasukabe | 5 | 0 % |
| South Korea | Kyonggi-do | Sihung | 5 | 0 % |
| Japan | Miyazaki | Miyakonojo | 5 | 0 % |
| United States | Washington | Lynnwood | 5 | 0 % |
| Bahamas | Nichollstown and Berry Islands | San andros | 5 | 0 % |
| United States | Maryland | Towson | 5 | 0 % |
| Thailand | Nakhon Ratchasima | Prathai | 5 | 0 % |
| Bahamas | Governor's Harbour | Savannah sound | 5 | 0 % |
| Thailand | Nakhon Ratchasima | Pak chong | 5 | 0 % |
| Thailand | Phra Nakhon Si Ayutthaya | Ayutthaya | 5 | 0 % |
| India | Andhra Pradesh | Vijayawada | 5 | 0 % |
| South Korea | Taegu-jikhalsi | Taegu | 5 | 0 % |
| Japan | Kanagawa | Chigasaki | 5 | 0 % |
| Japan | Saitama | Kawagoe | 5 | 0 % |
| Thailand | Khon Kaen | Don mueang | 5 | 0 % |
| Thailand | Chon Buri | Ang sila | 5 | 0 % |
| Japan | Osaka | Neyagawa | 5 | 0 % |
| Japan | Ibaraki | Fukushima | 5 | 0 % |
| Japan | Yamaguchi | Shimonoseki | 5 | 0 % |
| Japan | Saitama | Sakuracho | 5 | 0 % |
| United States | Minnesota | Winsted | 5 | 0 % |
| Japan | Hokkaido | Asahikawa | 5 | 0 % |
| Japan | Tokyo | Koganei | 5 | 0 % |
| United States | Alabama | Birmingham | 5 | 0 % |
| Japan | Hyogo | Amagasaki | 5 | 0 % |
| South Korea | Seoul-t'ukpyolsi | Jongno-gu | 5 | 0 % |
| Thailand | Saraburi | Ban pa | 5 | 0 % |
| Japan | Kanagawa | Atsugi | 5 | 0 % |
| Thailand | Chon Buri | Chon buri | 5 | 0 % |
| Japan | Chiba | Funabashi | 5 | 0 % |
| Japan | Akita | Akita | 5 | 0 % |
| United States | Washington | Mercer island | 5 | 0 % |
| Japan | Tokyo | Hachioji | 5 | 0 % |
| France | Rhone-Alpes | Saint-vincent-de-reins | 5 | 0 % |
| South Korea | Kyongsang-bukto | Gumi | 5 | 0 % |
| Japan | Saitama | Niiza | 5 | 0 % |
| United States | Texas | Irving | 5 | 0 % |
| United States | Texas | El paso | 5 | 0 % |
| United States | New York | Brooklyn | 5 | 0 % |
| United States | Louisiana | Pride | 5 | 0 % |
| Thailand | Nakhon Ratchasima | Nakhon ratchasima | 5 | 0 % |
| United States | Pennsylvania | Lancaster | 5 | 0 % |
| United States | New Mexico | Albuquerque | 5 | 0 % |
| Japan | Kanagawa | Hadano | 4 | 0 % |
| United States | Washington | Renton | 4 | 0 % |
| United States | Wyoming | Cheyenne | 4 | 0 % |
| Japan | Toyama | Toyama | 4 | 0 % |
| South Korea | Kyonggi-do | Uijongbu | 4 | 0 % |
| Canada | Ontario | Kitchener | 4 | 0 % |
| Japan | Kanagawa | Fujisawa | 4 | 0 % |
| United States | Maryland | Lanham | 4 | 0 % |
| Japan | Chiba | Sakura | 4 | 0 % |
| United States | California | Irvine | 4 | 0 % |
| Thailand | Samut Songkhram | Ubon | 4 | 0 % |
| South Korea | Ch'ungch'ong-namdo | Gyeryong-si | 4 | 0 % |
| United States | California | Rosemead | 4 | 0 % |
| South Korea | Kyonggi-do | Guri-si | 4 | 0 % |
| Thailand | | Kumphawapi | 4 | 0 % |
| United States | Washington | Federal way | 4 | 0 % |
| Russian Federation | | Perm | 4 | 0 % |
| United States | Colorado | Snowmass | 4 | 0 % |
| South Korea | Kangwon-do | Boryeong | 4 | 0 % |
| Japan | Saga | Saga | 4 | 0 % |
| Japan | Shimane | Izumo | 4 | 0 % |
| Japan | Ishikawa | Komatsu | 4 | 0 % |
| United States | Texas | Dallas | 4 | 0 % |
| Japan | Aichi | Anjo | 4 | 0 % |
| Netherlands | Noord-Holland | Amsterdam | 4 | 0 % |
| China | Jiangsu | Wuhu | 4 | 0 % |
| United States | Arizona | Mesa | 4 | 0 % |
| United States | Washington | Tacoma | 4 | 0 % |
| Japan | Aichi | Seto | 4 | 0 % |
| Thailand | Kanchanaburi | Kanchanaburi | 4 | 0 % |
| China | Hebei | Hebei | 4 | 0 % |
| Japan | Miyazaki | Miyazaki | 4 | 0 % |
| Great Britain | Peterborough | Peterborough | 4 | 0 % |
| Brazil | Minas Gerais | Belo horizonte | 4 | 0 % |
| South Korea | Kyongsang-namdo | Yangsan | 4 | 0 % |
| United States | Texas | San antonio | 4 | 0 % |
| Great Britain | Cardiff | Cardiff | 4 | 0 % |
| United States | Indiana | Indianapolis | 4 | 0 % |
| Thailand | | Udon thani | 4 | 0 % |
| Russian Federation | Sverdlovsk | Asbest | 4 | 0 % |
| United States | Texas | Austin | 4 | 0 % |
| Japan | Hyogo | Akashi | 4 | 0 % |
| Japan | Gifu | Minokamo | 4 | 0 % |
| Japan | Yamaguchi | Iwakuni | 4 | 0 % |
| United States | Missouri | Nixa | 4 | 0 % |
| Great Britain | London, City of | London | 4 | 0 % |
| Brazil | Para | Itaituba | 4 | 0 % |
| United States | Arizona | Tempe | 4 | 0 % |
| United States | Colorado | Littleton | 4 | 0 % |
| Japan | Tokyo | Edogawa | 4 | 0 % |
| South Korea | Seoul-t'ukpyolsi | Gangnam-gu | 4 | 0 % |
| China | Hunan | Beijing | 4 | 0 % |
| Japan | Saitama | Tokorozawa | 4 | 0 % |
| United States | Delaware | Lewes | 4 | 0 % |
| Chile | Antofagasta | Antofagasta | 4 | 0 % |
| United States | Washington | Everett | 4 | 0 % |
| United States | Illinois | South elgin | 4 | 0 % |
| Japan | Chiba | Sosa | 4 | 0 % |
| Japan | Chiba | Kisarazu | 4 | 0 % |
| Australia | New South Wales | Sydney | 4 | 0 % |
| Brazil | Espirito Santo | Serra | 4 | 0 % |
| United States | Indiana | New albany | 4 | 0 % |
| South Korea | Kyonggi-do | Siheung | 4 | 0 % |
| Thailand | Sukhothai | Nakhon si thammarat | 4 | 0 % |
| Japan | Shiga | Kusatsu | 4 | 0 % |
| Japan | Ibaraki | Hitachi | 4 | 0 % |
| United States | Massachusetts | Boston | 4 | 0 % |
| United States | Missouri | Joplin | 4 | 0 % |
| Brazil | Rondonia | Porto velho | 4 | 0 % |
| Canada | Ontario | London | 3 | 0 % |
| Brazil | Rio Grande do Sul | Rio grande | 3 | 0 % |
| Brazil | Sao Paulo | Osasco | 3 | 0 % |
| United States | Hawaii | Honolulu | 3 | 0 % |
| Japan | | Japan | 3 | 0 % |
| Thailand | Samut Sakhon | Krathumban | 3 | 0 % |
| Brazil | Rio Grande do Sul | Camaqua | 3 | 0 % |
| United States | Louisiana | Baton rouge | 3 | 0 % |
| Canada | Ontario | Burlington | 3 | 0 % |
| United States | Montana | Livingston | 3 | 0 % |
| Russian Federation | Komi | Syktyvkar | 3 | 0 % |
| Japan | Ibaraki | Tsukuba | 3 | 0 % |
| Japan | Aichi | Nisshin | 3 | 0 % |
| United States | Washington | Rainier | 3 | 0 % |
| United States | Colorado | Colorado springs | 3 | 0 % |
| Brazil | Rio de Janeiro | Duque de caxias | 3 | 0 % |
| India | West Bengal | Kolkata | 3 | 0 % |
| Thailand | Nakhon Sawan | Nakhon sawan | 3 | 0 % |
| United States | New York | New york | 3 | 0 % |
| United States | Indiana | Clinton | 3 | 0 % |
| Japan | Wakayama | Iwade | 3 | 0 % |
| South Korea | Kyonggi-do | Jangseong | 3 | 0 % |
| Brazil | Rio Grande do Sul | Feliz | 3 | 0 % |
| South Korea | Kyonggi-do | Goyang-si | 3 | 0 % |
| Japan | Okinawa | Naha | 3 | 0 % |
| Brazil | Minas Gerais | Frutal | 3 | 0 % |
| Japan | Chiba | Kashiwa | 3 | 0 % |
| China | Hubei | Wuhan | 3 | 0 % |
| South Korea | Kangwon-do | Yangyang | 3 | 0 % |
| United States | Georgia | Marietta | 3 | 0 % |
| Thailand | | Bang kham | 3 | 0 % |
| Brazil | Sao Paulo | Limeira | 3 | 0 % |
| Thailand | Kamphaeng Phet | Kamphaeng phet | 3 | 0 % |
| United States | Colorado | Ouray | 3 | 0 % |
| Japan | Yamaguchi | Yamaguchi | 3 | 0 % |
| Japan | Hyogo | Kakogawa | 3 | 0 % |
| South Korea | Ch'ungch'ong-bukto | Jecheon | 3 | 0 % |
| Cambodia | Mondol Kiri | Phnom penh | 3 | 0 % |
| Japan | Aomori | Itayanagi | 3 | 0 % |
| Japan | Aichi | Chiryu | 3 | 0 % |
| United States | Rhode Island | Warwick | 3 | 0 % |
| China | | Chongqing | 3 | 0 % |
| Brazil | Rio Grande do Sul | Marau | 3 | 0 % |
| Brazil | Rio Grande do Sul | Gravatai | 3 | 0 % |
| Brazil | Rio Grande do Sul | Pelotas | 3 | 0 % |
| Philippines | Davao City | Davao | 3 | 0 % |
| Brazil | Sao Paulo | Ibiuna | 3 | 0 % |
| Thailand | Phitsanulok | Phitsanulok | 3 | 0 % |
| Japan | Ibaraki | Iwaki | 3 | 0 % |
| United States | New Jersey | Haskell | 3 | 0 % |
| Japan | Hyogo | Ashiya | 3 | 0 % |
| Russian Federation | Sverdlovsk | Pervouralsk | 3 | 0 % |
| Japan | Ibaraki | Tsukubamirai | 3 | 0 % |
| India | Delhi | New delhi | 3 | 0 % |
| Thailand | Trang | Trang | 3 | 0 % |
| South Korea | Kyonggi-do | Seongdong | 3 | 0 % |
| Japan | Tokyo | Kokubunji | 3 | 0 % |
| Japan | Osaka | Higashi-osaka | 3 | 0 % |
| Japan | Tochigi | Oyama | 3 | 0 % |
| Thailand | Chiang Mai | Ban ruan | 3 | 0 % |
| Brazil | Rio Grande do Sul | Veranopolis | 3 | 0 % |
| United States | Pennsylvania | Philadelphia | 3 | 0 % |
| Brazil | Rio Grande do Sul | Guaiba | 3 | 0 % |
| Japan | Kanagawa | Kamakura | 3 | 0 % |
| United States | Hawaii | Kula | 3 | 0 % |
| United States | California | Redwood valley | 3 | 0 % |
| Thailand | Samut Songkhram | Ubon ratchathani | 3 | 0 % |
| Brazil | Pernambuco | Caruaru | 3 | 0 % |
| Canada | Ontario | Port carling | 3 | 0 % |
| Thailand | Sukhothai | Khlong tan | 3 | 0 % |
| South Korea | Kyonggi-do | Uijeongbu-si | 3 | 0 % |
| India | Punjab | Amritsar | 3 | 0 % |
| India | Tamil Nadu | Vellore | 3 | 0 % |
| South Korea | Seoul-t'ukpyolsi | Yongsan | 3 | 0 % |
| Brazil | Rio de Janeiro | Belford roxo | 3 | 0 % |
| United States | Tennessee | Nashville | 3 | 0 % |
| Japan | Osaka | Toyonaka | 3 | 0 % |
| South Korea | Kyonggi-do | Pocheon-si | 3 | 0 % |
| United States | Florida | Delray beach | 3 | 0 % |
| Japan | Chiba | Katori | 3 | 0 % |
| Japan | Aichi | Nishio | 3 | 0 % |
| Japan | Ehime | Yawatahama | 3 | 0 % |
| India | Maharashtra | Thane | 3 | 0 % |
| Japan | Hokkaido | Kushiro | 3 | 0 % |
| Brazil | Distrito Federal | Taguatinga | 3 | 0 % |
| Japan | Osaka | Habikino | 3 | 0 % |
| Japan | Mie | Tsu | 3 | 0 % |
| Great Britain | Nottinghamshire | Newark | 3 | 0 % |
| Philippines | Quezon City | Quezon city | 3 | 0 % |
| United States | Florida | Melbourne | 3 | 0 % |
| Thailand | Samut Sakhon | Mahachai | 3 | 0 % |
| South Korea | Ch'ungch'ong-namdo | Chungcheongnam-do | 3 | 0 % |
| Brazil | Rio Grande do Sul | Tres coroas | 3 | 0 % |
| Canada | Ontario | Orangeville | 3 | 0 % |
| Brazil | Rio Grande do Sul | Montenegro | 3 | 0 % |
| United States | Washington | Spokane | 3 | 0 % |
| Great Britain | Coventry | Coventry | 3 | 0 % |
| China | Fujian | Fuzhou | 3 | 0 % |
| United States | Missouri | Republic | 3 | 0 % |
| Brazil | Rio Grande do Sul | Sapiranga | 3 | 0 % |
| United States | Washington | Monroe | 3 | 0 % |
| South Korea | Kyonggi-do | Namdong | 3 | 0 % |
| Japan | Hiroshima | Fukuyama | 3 | 0 % |
| United States | California | Visalia | 3 | 0 % |
| Brazil | Minas Gerais | Uberlandia | 3 | 0 % |
| South Korea | Pusan-jikhalsi | Pusan | 3 | 0 % |
| Canada | Ontario | Cornwall | 3 | 0 % |
| Japan | Chiba | Kimitsu | 3 | 0 % |
| United States | Ohio | Marion | 3 | 0 % |
| Brazil | Rio Grande do Sul | Cachoeirinha | 3 | 0 % |
| Thailand | Ratchaburi | Ban muang | 3 | 0 % |
| Japan | Kanagawa | Ebina | 3 | 0 % |
| Japan | Shizuoka | Kakegawa | 3 | 0 % |
| South Korea | Ch'ungch'ong-bukto | Yangju | 3 | 0 % |
| Brazil | Rio Grande do Sul | Alvorada | 3 | 0 % |
| Japan | Yamanashi | Yamanashi | 3 | 0 % |
| Japan | Saitama | Sayama | 3 | 0 % |
| Russian Federation | Novosibirsk | Novosibirsk | 3 | 0 % |
| United States | Pennsylvania | Wayne | 3 | 0 % |
| Japan | Ishikawa | Kanazawa | 3 | 0 % |
| Brazil | Rio Grande do Sul | Portao | 3 | 0 % |
| South Korea | Cholla-namdo | Wando | 3 | 0 % |
| Japan | Hyogo | Takarazuka | 3 | 0 % |
| Germany | Hessen | Frankfurt am main | 3 | 0 % |
| South Korea | Kyongsang-namdo | Gimhae-si | 3 | 0 % |
| India | Gujarat | Ahmedabad | 3 | 0 % |
| Albania | Tirane | Tirana | 3 | 0 % |
| Japan | Hokkaido | Kitami | 3 | 0 % |
| Brazil | Rio Grande do Sul | Estancia velha | 3 | 0 % |
| South Korea | Seoul-t'ukpyolsi | Seongbuk-gu | 3 | 0 % |
| United States | Colorado | Grand junction | 3 | 0 % |
| Japan | Osaka | Suita | 3 | 0 % |
| India | West Bengal | Dakshin | 3 | 0 % |
| United States | Idaho | Nampa | 3 | 0 % |
| Brazil | Sao Paulo | Santana de parnaiba | 3 | 0 % |
| Russian Federation | Nizhegorod | Nizhniy novgorod | 3 | 0 % |
| Thailand | Rayong | Ban laeng | 3 | 0 % |
| Spain | Andalucia | Sanlúcar la mayor | 3 | 0 % |
| Vietnam | | Hanoi | 2 | 0 % |
| Russian Federation | Rostov | Rostov-on-don | 2 | 0 % |
| Japan | Aomori | Towada | 2 | 0 % |
| South Korea | Inch'on-jikhalsi | Inchon | 2 | 0 % |
| Japan | Mie | Nabari | 2 | 0 % |
| Japan | Nara | Nagara | 2 | 0 % |
| Dominican Republic | Dajabon | Santo domingo | 2 | 0 % |
| South Korea | Kyonggi-do | Yangpyeong | 2 | 0 % |
| Japan | Kyoto | Kobe | 2 | 0 % |
| Japan | Chiba | Narita | 2 | 0 % |
| Russian Federation | Murmansk | Murmansk | 2 | 0 % |
| United States | Florida | Jacksonville | 2 | 0 % |
| United States | North Carolina | Shallotte | 2 | 0 % |
| Barbados | Saint Michael | Prospect | 2 | 0 % |
| Canada | Manitoba | Stonewall | 2 | 0 % |
| Japan | Yamagata | Yamagata | 2 | 0 % |
| Japan | Aichi | Inazawa | 2 | 0 % |
| United States | Nebraska | Omaha | 2 | 0 % |
| United States | Oregon | Sandy | 2 | 0 % |
| South Korea | Ch'ungch'ong-namdo | Goyang | 2 | 0 % |
| South Korea | Kyonggi-do | Yeoju | 2 | 0 % |
| Japan | Kanagawa | Yokosuka | 2 | 0 % |
| Great Britain | Bedfordshire | Leighton buzzard | 2 | 0 % |
| China | Guangdong | Shenzhen | 2 | 0 % |
| Chile | Magallanes y de la Antartica Chilena | Punta arenas | 2 | 0 % |
| United States | Washington | Oak harbor | 2 | 0 % |
| Japan | Chiba | Ichikawa | 2 | 0 % |
| Thailand | Maha Sarakham | Maha sarakham | 2 | 0 % |
| Great Britain | Cheshire | Lymm | 2 | 0 % |
| United States | Colorado | Frisco | 2 | 0 % |
| South Korea | Kyongsang-bukto | Kumi | 2 | 0 % |
| Canada | Quebec | Baie-d'urfe | 2 | 0 % |
| United States | Florida | Tampa | 2 | 0 % |
| United States | California | Lawndale | 2 | 0 % |
| Canada | | St. john's | 2 | 0 % |
| United States | Colorado | Hotchkiss | 2 | 0 % |
| Canada | British Columbia | New westminster | 2 | 0 % |
| United States | Maryland | Elkridge | 2 | 0 % |
| Japan | Fukuoka | Iizuka | 2 | 0 % |
| United Arab Emirates | Dubay | Dubai | 2 | 0 % |
| United States | Nevada | Pahrump | 2 | 0 % |
| United States | Arizona | Payson | 2 | 0 % |
| China | Guangxi | Beihai | 2 | 0 % |
| Japan | Nara | Katsuragi | 2 | 0 % |
| Japan | Saitama | Koshigaya | 2 | 0 % |
| United Arab Emirates | Abu Zaby | Abu dhabi | 2 | 0 % |
| Canada | Ontario | Mississauga | 2 | 0 % |
| United States | Georgia | Lawrenceville | 2 | 0 % |
| Thailand | Tak | Tak | 2 | 0 % |
| United States | Maryland | Bowie | 2 | 0 % |
| Japan | Wakayama | Kainan | 2 | 0 % |
| Thailand | Songkhla | Bang klam | 2 | 0 % |
| Ukraine | Donets'ka Oblast' | Donetsk | 2 | 0 % |
| Japan | Yamaguchi | Kudamatsu | 2 | 0 % |
| United States | Louisiana | Prairieville | 2 | 0 % |
| United States | Virginia | Danville | 2 | 0 % |
| Great Britain | Brighton and Hove | Hove | 2 | 0 % |
| Thailand | Phrae | Thong | 2 | 0 % |
| South Korea | Kyonggi-do | Icheon | 2 | 0 % |
| Russian Federation | Sverdlovsk | Polevskoy | 2 | 0 % |
| United States | Illinois | Homer glen | 2 | 0 % |
| Thailand | Nong Khai | Nong khai | 2 | 0 % |
| United States | Georgia | Atlanta | 2 | 0 % |
| United States | Colorado | Olathe | 2 | 0 % |
| India | Karnataka | Shimoga | 2 | 0 % |
| Japan | Chiba | Abiko | 2 | 0 % |
| Thailand | Nakhon Nayok | Nakhon nayok | 2 | 0 % |
| United States | Maryland | Rockville | 2 | 0 % |
| United States | New Jersey | Fort lee | 2 | 0 % |
| India | Uttaranchal | Dehradun | 2 | 0 % |
| India | Bihar | Patna | 2 | 0 % |
| Cyprus | Limassol | Limassol | 2 | 0 % |
| Canada | Ontario | Oakville | 2 | 0 % |
| South Korea | Cholla-namdo | Gwangyang | 2 | 0 % |
| Japan | Shizuoka | Fujieda | 2 | 0 % |
| Japan | Saitama | Fujimi | 2 | 0 % |
| South Korea | Kyonggi-do | Pyeongtaek | 2 | 0 % |
| United States | Colorado | Cedaredge | 2 | 0 % |
| Hong Kong | | Hung hom | 2 | 0 % |
| Japan | Gifu | Toki | 2 | 0 % |
| Thailand | Yala | Yala | 2 | 0 % |
| Japan | Aichi | Okazaki | 2 | 0 % |
| Republic of Serbia | | Grocka | 2 | 0 % |
| Hong Kong | | Central district | 2 | 0 % |
| Ukraine | Chernihivs'ka Oblast' | Chernigov | 2 | 0 % |
| Thailand | Rayong | Ban na | 2 | 0 % |
| United States | California | Oakland | 2 | 0 % |
| Nigeria | Oyo | Ibadan | 2 | 0 % |
| United States | Washington | Mount vernon | 2 | 0 % |
| Japan | Fukuoka | Kurume | 2 | 0 % |
| Costa Rica | San Jose | San josé | 2 | 0 % |
| Bangladesh | | Dhaka | 2 | 0 % |
| Japan | Hokkaido | Chitose | 2 | 0 % |
| China | Jiangsu | Taizhou | 2 | 0 % |
| India | Rajasthan | Bhiwadi | 2 | 0 % |
| Japan | Kanagawa | Ayase | 2 | 0 % |
| Great Britain | Glasgow City | Glasgow | 2 | 0 % |
| Philippines | Cagayan de Oro | Cagayan de oro city | 2 | 0 % |
| Brazil | Sao Paulo | Leme | 2 | 0 % |
| Thailand | Nan | Chang | 2 | 0 % |
| United States | Washington | Eastsound | 2 | 0 % |
| Saudi Arabia | Ar Riyad | Riyadh | 2 | 0 % |
| Japan | Chiba | Narashino | 2 | 0 % |
| Japan | Hyogo | Miki | 2 | 0 % |
| South Korea | Kyongsang-namdo | Gyeongsangnam-do | 2 | 0 % |
| United States | Colorado | Paonia | 2 | 0 % |
| Thailand | Sing Buri | In buri | 2 | 0 % |
| United States | Georgia | Roswell | 2 | 0 % |
| Japan | Aichi | Tsushima | 2 | 0 % |
| Republic of Serbia | | Beograd | 2 | 0 % |
| Bolivia | Cochabamba | Cochabamba | 2 | 0 % |
| Great Britain | Brighton and Hove | Brighton | 2 | 0 % |
| Great Britain | Edinburgh, City of | Edinburgh | 2 | 0 % |
| United States | California | Fremont | 2 | 0 % |
| Japan | Yamanashi | Kofu | 2 | 0 % |
| United States | Louisiana | New orleans | 2 | 0 % |
| Japan | Shiga | Yasu | 2 | 0 % |
| Australia | Victoria | Morwell | 2 | 0 % |
| Brazil | Rio de Janeiro | Rio de janeiro | 2 | 0 % |
| Russian Federation | Nizhegorod | Sosnovskoye | 2 | 0 % |
| China | Yunnan | Kunming | 2 | 0 % |
| Thailand | Samut Prakan | Bang pu | 2 | 0 % |
| Great Britain | Bristol, City of | Bristol | 2 | 0 % |
| United States | California | Hollister | 2 | 0 % |
| Great Britain | Liverpool | Liverpool | 2 | 0 % |
| Japan | Mie | Iga | 2 | 0 % |
| Cameroon | Sud-Ouest | Buea | 2 | 0 % |
| India | Kerala | Trivandrum | 2 | 0 % |
| United States | Texas | Fort worth | 2 | 0 % |
| Thailand | Chiang Mai | Sansai | 2 | 0 % |
| South Korea | Cholla-bukto | Iksan | 2 | 0 % |
| Ireland | Louth | Dundalk | 2 | 0 % |
| Thailand | Maha Sarakham | Kantharawichai | 2 | 0 % |
| United States | California | San clemente | 2 | 0 % |
| Japan | Shiga | Otsu | 2 | 0 % |
| United States | California | Palo alto | 2 | 0 % |
| Japan | Oita | Usuki | 2 | 0 % |
| Thailand | Chanthaburi | Nam rak | 2 | 0 % |
| United States | New Jersey | Basking ridge | 2 | 0 % |
| Philippines | Manila | Makati city | 2 | 0 % |
| South Korea | Kangwon-do | Yanggu | 2 | 0 % |
| Japan | Saitama | Wako | 2 | 0 % |
| Great Britain | Cheshire | Sale | 2 | 0 % |
| Thailand | Khon Kaen | Bang khae | 2 | 0 % |
| United States | South Carolina | Irmo | 2 | 0 % |
| Belgium | Brabant Wallon | Genval | 2 | 0 % |
| India | Orissa | Bhubaneswar | 2 | 0 % |
| Thailand | Prachuap Khiri Khan | Hua hin | 2 | 0 % |
| United States | Florida | Boca raton | 2 | 0 % |
| Bulgaria | Grad Sofiya | Sofia | 2 | 0 % |
| Republic of Serbia | | Novi banovci | 2 | 0 % |
| United States | Missouri | Columbia | 2 | 0 % |
| Japan | Saitama | Ageo | 2 | 0 % |
| Japan | Gifu | Kakamigahara | 2 | 0 % |
| Thailand | Surat Thani | Surat thani | 2 | 0 % |
| Thailand | Nan | Nan | 2 | 0 % |
| Japan | Tokyo | Shinagawa-ku | 2 | 0 % |
| United States | Maryland | Germantown | 2 | 0 % |
| Japan | Saitama | Asaka | 2 | 0 % |
| Japan | Saitama | Kuki | 2 | 0 % |
| United States | Massachusetts | Peabody | 2 | 0 % |
| Canada | Ontario | Richmond hill | 2 | 0 % |
| Ukraine | Vinnyts'ka Oblast' | Vinnytsya | 2 | 0 % |
| France | Rhone-Alpes | Vénissieux | 2 | 0 % |
| China | Hunan | Changsha | 2 | 0 % |
| United States | Florida | New port richey | 2 | 0 % |
| United States | California | Hayward | 2 | 0 % |
| Japan | Tochigi | Otawara | 2 | 0 % |
| Russian Federation | Sverdlovsk | Novouralsk | 2 | 0 % |
| Japan | Hokkaido | Ishikari | 2 | 0 % |
| Japan | Kumamoto | Kikuchi | 2 | 0 % |
| Japan | Hokkaido | Hakodate | 2 | 0 % |
| Canada | Ontario | North bay | 2 | 0 % |
| Japan | Ibaraki | Joso | 2 | 0 % |
| Thailand | Chiang Mai | Fang | 2 | 0 % |
| Guatemala | Escuintla | Escuintla | 2 | 0 % |
| Japan | Hiroshima | Hatsukaichi | 2 | 0 % |
| Japan | Tokyo | Tachikawa | 2 | 0 % |
| Great Britain | Hackney | Stoke newington | 2 | 0 % |
| India | Andhra Pradesh | Karimnagar | 2 | 0 % |
| Japan | Saga | Imari | 2 | 0 % |
| Canada | Ontario | Gravenhurst | 2 | 0 % |
| Japan | Aichi | Inuyama | 2 | 0 % |
| India | Meghalaya | Shillong | 2 | 0 % |
| Japan | Hokkaido | Otofuke | 2 | 0 % |
| Great Britain | Medway | Chatham | 2 | 0 % |
| Thailand | Ranong | Ranong | 2 | 0 % |
| Thailand | Khon Kaen | Bang khlo | 2 | 0 % |
| Germany | Baden-Wurttemberg | Stuttgart | 2 | 0 % |
| Japan | Saga | Kanzaki | 2 | 0 % |
| South Korea | Kyonggi-do | Pyeong | 2 | 0 % |
| Japan | Toyama | Nyuzen | 2 | 0 % |
| Japan | Kanagawa | Isehara | 2 | 0 % |
| Great Britain | Cambridgeshire | Cambridge | 2 | 0 % |
| Japan | Shizuoka | Shimizu | 2 | 0 % |
| South Korea | Kyonggi-do | Daeso | 2 | 0 % |
| Germany | Berlin | Berlin | 2 | 0 % |
| Argentina | Distrito Federal | Buenos aires | 2 | 0 % |
| United States | Florida | Ormond beach | 2 | 0 % |
| Canada | Ontario | Niagara-on-the-lake | 2 | 0 % |
| Japan | Ibaraki | Kashima | 2 | 0 % |
| United States | South Carolina | North charleston | 2 | 0 % |
| South Korea | Kyongsang-namdo | Geoje | 2 | 0 % |
| Japan | Mie | Matsusaka | 2 | 0 % |
| Hungary | Budapest | Budapest | 2 | 0 % |
| United States | Washington | Kent | 2 | 0 % |
| United States | Ohio | Hudson | 2 | 0 % |
| Thailand | Pathum Thani | Pathum thani | 2 | 0 % |
| Japan | Aomori | Hirosaki | 2 | 0 % |
| Brazil | Minas Gerais | Fatima | 2 | 0 % |
| Belarus | Mahilyowskaya Voblasts' | Mogilev | 2 | 0 % |
| Russian Federation | Tyumen' | Tyumen | 2 | 0 % |
| United States | North Carolina | Jefferson | 2 | 0 % |
| Thailand | Phra Nakhon Si Ayutthaya | Uthai | 2 | 0 % |
| Mexico | Nuevo Leon | San nicolás de los garza | 2 | 0 % |
| Hungary | Veszprem | Veszprém | 2 | 0 % |
| United States | Texas | Katy | 2 | 0 % |
| Russian Federation | Saint Petersburg City | Saint petersburg | 2 | 0 % |
| Japan | Shiga | Nagahama | 2 | 0 % |
| Japan | Tokyo | Machida | 2 | 0 % |
| Thailand | Sukhothai | Thung song | 2 | 0 % |
| Canada | Ontario | Navan | 2 | 0 % |
| South Korea | Ch'ungch'ong-bukto | Sindae | 2 | 0 % |
| Great Britain | Nottingham | Nottingham | 2 | 0 % |
| South Korea | Kyonggi-do | Anseong | 2 | 0 % |
| India | Gujarat | Vadodara | 2 | 0 % |
| Japan | Ibaraki | Oarai-machi | 2 | 0 % |
| United States | Utah | Salt lake city | 2 | 0 % |
| United States | Kansas | Lenexa | 2 | 0 % |
| Canada | Alberta | Edmonton | 2 | 0 % |
| Japan | Shiga | Omihachiman | 2 | 0 % |
| Japan | Chiba | Mobara | 2 | 0 % |
| Romania | Giurgiu | Giurgiu | 2 | 0 % |
| Sri Lanka | | Boralesgamuwa | 2 | 0 % |
| South Korea | Kyongsang-namdo | Goseong | 2 | 0 % |
| Thailand | Khon Kaen | Bang na | 2 | 0 % |
| Japan | Aichi | Kasugai | 2 | 0 % |
| India | Gujarat | Gandhinagar | 2 | 0 % |
| China | Heilongjiang | Harbin | 2 | 0 % |
| Great Britain | Sunderland | Sunderland | 2 | 0 % |
| United States | Mississippi | Bentonia | 1 | 0 % |
| Japan | Iwate | Morioka | 1 | 0 % |
| India | Tamil Nadu | Tiruppur | 1 | 0 % |
| United States | Georgia | Statesboro | 1 | 0 % |
| United States | Oregon | Clackamas | 1 | 0 % |
| Mexico | Distrito Federal | Ciudad de méxico | 1 | 0 % |
| South Korea | Kyongsang-bukto | Chungbuk | 1 | 0 % |
| Japan | Tochigi | Moka | 1 | 0 % |
| United States | Colorado | Dolores | 1 | 0 % |
| South Africa | Western Cape | Cape town | 1 | 0 % |
| Canada | Alberta | Bonnyville | 1 | 0 % |
| United States | Oregon | Tualatin | 1 | 0 % |
| Great Britain | Kirklees | Heckmondwike | 1 | 0 % |
| United States | Rhode Island | Cumberland | 1 | 0 % |
| United States | South Dakota | Sioux falls | 1 | 0 % |
| Japan | Osaka | Sumiyoshicho | 1 | 0 % |
| Japan | Aichi | Owariasahi | 1 | 0 % |
| United States | Texas | Tyler | 1 | 0 % |
| Thailand | Ang Thong | Ang thong | 1 | 0 % |
| Thailand | Samut Sakhon | Samut sakhon | 1 | 0 % |
| United States | California | Northridge | 1 | 0 % |
| United States | Colorado | Golden | 1 | 0 % |
| United States | Texas | Spring | 1 | 0 % |
| Canada | Alberta | Airdrie | 1 | 0 % |
| Japan | Kumamoto | Hitoyoshi | 1 | 0 % |
| United States | Virginia | Newport news | 1 | 0 % |
| Japan | Hokkaido | Hokkaido | 1 | 0 % |
| United States | New Jersey | Hoboken | 1 | 0 % |
| India | Gujarat | Godhra | 1 | 0 % |
| United States | North Carolina | Warsaw | 1 | 0 % |
| Guatemala | Quetzaltenango | Quetzaltenango | 1 | 0 % |
| India | Gujarat | Nadiad | 1 | 0 % |
| Canada | Manitoba | Flin flon | 1 | 0 % |
| India | Uttar Pradesh | Noida | 1 | 0 % |
| United States | Ohio | Chesterland | 1 | 0 % |
| Czech Republic | Stredocesky Kraj | Rakovnik | 1 | 0 % |
| India | Kerala | Malappuram | 1 | 0 % |
| Canada | Ontario | Alliston | 1 | 0 % |
| South Korea | Inch'on-jikhalsi | Bupyeong | 1 | 0 % |
| Indonesia | Gorontalo | Pohuwato | 1 | 0 % |
| India | Tamil Nadu | Erode | 1 | 0 % |
| Japan | Gifu | Kani | 1 | 0 % |
| Russian Federation | Chelyabinsk | Snezhinsk | 1 | 0 % |
| Ukraine | Kharkivs'ka Oblast' | Kharkiv | 1 | 0 % |
| Great Britain | Trafford | Altrincham | 1 | 0 % |
| Japan | Miyazaki | Shintomi | 1 | 0 % |
| Japan | Okinawa | Miyakojima | 1 | 0 % |
| Canada | Nova Scotia | Saulnierville | 1 | 0 % |
| United States | Oklahoma | Blackwell | 1 | 0 % |
| Great Britain | Redcar and Cleveland | Middlesbrough | 1 | 0 % |
| Japan | Shizuoka | Maejima | 1 | 0 % |
| Great Britain | West Sussex | Henfield | 1 | 0 % |
| United States | Arizona | Flagstaff | 1 | 0 % |
| Brazil | Para | Belem | 1 | 0 % |
| Turkey | Icel | Mersin | 1 | 0 % |
| United States | Alabama | Gulf shores | 1 | 0 % |
| Japan | Ishikawa | Nomi | 1 | 0 % |
| Canada | British Columbia | Squamish | 1 | 0 % |
| India | Kerala | Cochin | 1 | 0 % |
| United States | Colorado | Woodland park | 1 | 0 % |
| United States | Kansas | Overland park | 1 | 0 % |
| Canada | Ontario | Rama | 1 | 0 % |
| Thailand | Khon Kaen | Ban ton | 1 | 0 % |
| South Korea | Kyongsang-bukto | Waegwan | 1 | 0 % |
| United States | Massachusetts | Babson park | 1 | 0 % |
| Japan | Mie | Kameyama | 1 | 0 % |
| United States | Kansas | Valley center | 1 | 0 % |
| Japan | Saitama | Kawaguchi | 1 | 0 % |
| United States | Michigan | Benton harbor | 1 | 0 % |
| Slovak Republic | Nitra | Zlaté moravce | 1 | 0 % |
| Canada | Alberta | Grande cache | 1 | 0 % |
| Mexico | Tabasco | Villahermosa | 1 | 0 % |
| United States | Maryland | College park | 1 | 0 % |
| United States | New York | Victor | 1 | 0 % |
| Sweden | Vastra Gotaland | Trollhättan | 1 | 0 % |
| United States | New Jersey | North bergen | 1 | 0 % |
| Japan | Kanagawa | Nakatanishi | 1 | 0 % |
| Norway | Hedmark | Hønefoss | 1 | 0 % |
| Lithuania | Kauno Apskritis | Kaunas | 1 | 0 % |
| United States | Colorado | Delta | 1 | 0 % |
| Japan | Chiba | Sanmu | 1 | 0 % |
| United States | Michigan | Flushing | 1 | 0 % |
| Argentina | Buenos Aires | Mar del plata | 1 | 0 % |
| Sri Lanka | | Negombo | 1 | 0 % |
| United States | North Carolina | Rougemont | 1 | 0 % |
| United States | California | Atwater | 1 | 0 % |
| United States | Tennessee | Franklin | 1 | 0 % |
| Japan | Miyagi | Matsushima | 1 | 0 % |
| United States | Washington | Maple valley | 1 | 0 % |
| Japan | Kanagawa | Odawara | 1 | 0 % |
| India | Andhra Pradesh | Khammam | 1 | 0 % |
| Japan | Kanagawa | Shibuya | 1 | 0 % |
| Japan | Nagano | Matumoto | 1 | 0 % |
| India | Orissa | Berhampur | 1 | 0 % |
| India | Punjab | Samrala | 1 | 0 % |
| Norway | Oslo | Oslo | 1 | 0 % |
| Russian Federation | Chelyabinsk | Korkino | 1 | 0 % |
| Great Britain | Caerphilly | Bargoed | 1 | 0 % |
| India | Andhra Pradesh | Vizag | 1 | 0 % |
| Thailand | Rayong | Huai pong | 1 | 0 % |
| Netherlands | Overijssel | Goor | 1 | 0 % |
| South Korea | Seoul-t'ukpyolsi | Jungnang-gu | 1 | 0 % |
| United States | Missouri | Monroe city | 1 | 0 % |
| United States | Oregon | Bay city | 1 | 0 % |
| Japan | Osaka | Kadoma | 1 | 0 % |
| Australia | Australian Capital Territory | Kingston | 1 | 0 % |
| Great Britain | Stoke-on-Trent | Stoke-on-trent | 1 | 0 % |
| United States | California | Chula vista | 1 | 0 % |
| Great Britain | Wandsworth | Roehampton | 1 | 0 % |
| Canada | Ontario | Strathroy | 1 | 0 % |
| Cambodia | | Sihanoukville | 1 | 0 % |
| Great Britain | | Workington | 1 | 0 % |
| Thailand | Saraburi | Saraburi | 1 | 0 % |
| Thailand | Chon Buri | Si racha | 1 | 0 % |
| Nepal | | Kathmandu | 1 | 0 % |
| Argentina | Distrito Federal | Villa devoto | 1 | 0 % |
| United States | Florida | Bonita springs | 1 | 0 % |
| Great Britain | Scottish Borders, The | Kelso | 1 | 0 % |
| United States | Utah | Midvale | 1 | 0 % |
| Japan | Aichi | Kitanagoya | 1 | 0 % |
| Ukraine | Chernivets'ka Oblast' | Chernivtsi | 1 | 0 % |
| Great Britain | West Lothian | Broxburn | 1 | 0 % |
| Ecuador | Azuay | Cuenca | 1 | 0 % |
| Japan | Hokkaido | Iwamizawa | 1 | 0 % |
| Great Britain | North Yorkshire | Richmond | 1 | 0 % |
| India | Uttar Pradesh | Bareilly | 1 | 0 % |
| Japan | Nagano | Ueda | 1 | 0 % |
| India | Andhra Pradesh | Secunderabad | 1 | 0 % |
| Japan | Kyoto | Muko | 1 | 0 % |
| Japan | Aichi | Takahama | 1 | 0 % |
| India | Tamil Nadu | Kangayam | 1 | 0 % |
| Great Britain | Wokingham | Wokingham | 1 | 0 % |
| United States | Florida | Apopka | 1 | 0 % |
| Great Britain | West Sussex | Worthing | 1 | 0 % |
| Japan | Saitama | Toda | 1 | 0 % |
| Honduras | Cortes | San pedro sula | 1 | 0 % |
| United States | Pennsylvania | Duncannon | 1 | 0 % |
| Great Britain | Durham | Consett | 1 | 0 % |
| United States | California | Marina del rey | 1 | 0 % |
| Japan | Saitama | Chichibu | 1 | 0 % |
| Guatemala | Suchitepequez | Mazatenango | 1 | 0 % |
| Canada | Ontario | Brantford | 1 | 0 % |
| Japan | Gumma | Kiryu | 1 | 0 % |
| South Korea | Kyonggi-do | Suji-gu | 1 | 0 % |
| India | Andhra Pradesh | Chittoor | 1 | 0 % |
| Uzbekistan | Toshkent | Tashkent | 1 | 0 % |
| Sri Lanka | | Galle | 1 | 0 % |
| Great Britain | Hertford | Waltham cross | 1 | 0 % |
| United States | California | Santa rosa | 1 | 0 % |
| Japan | Kyoto | Kizugawa-shi | 1 | 0 % |
| United States | Louisiana | Gonzales | 1 | 0 % |
| Great Britain | Wakefield | Castleford | 1 | 0 % |
| Russian Federation | Sverdlovsk | Severouralsk | 1 | 0 % |
| United States | South Carolina | Myrtle beach | 1 | 0 % |
| Russian Federation | Sverdlovsk | Krasnoufimsk | 1 | 0 % |
| Japan | Aichi | Toyoake | 1 | 0 % |
| Thailand | Chiang Rai | Phan | 1 | 0 % |
| Brazil | Sao Paulo | Sao bernardo do campo | 1 | 0 % |
| Germany | Bayern | Nürnberg | 1 | 0 % |
| India | Andhra Pradesh | Mancherial | 1 | 0 % |
| South Korea | Seoul-t'ukpyolsi | Yangcheon-gu | 1 | 0 % |
| France | Ile-de-France | Bezons | 1 | 0 % |
| Iceland | | Kópavogur | 1 | 0 % |
| Canada | Ontario | New liskeard | 1 | 0 % |
| Australia | Victoria | Deer park | 1 | 0 % |
| Japan | Gifu | Gero | 1 | 0 % |
| Russian Federation | Bashkortostan | Ufa | 1 | 0 % |
| India | West Bengal | Siliguri | 1 | 0 % |
| Brazil | Sao Paulo | Presidente prudente | 1 | 0 % |
| Canada | Ontario | Thornhill | 1 | 0 % |
| United States | Texas | Godley | 1 | 0 % |
| United States | Colorado | Eaton | 1 | 0 % |
| Japan | Yamaguchi | Shunan | 1 | 0 % |
| Russian Federation | Krasnodar | Sochi | 1 | 0 % |
| Thailand | Phitsanulok | Bang rakam | 1 | 0 % |
| Japan | Fukuoka | Yanagawa | 1 | 0 % |
| Japan | Tokyo | Asagaya | 1 | 0 % |
| Thailand | | Bang kung | 1 | 0 % |
| United States | Massachusetts | Stoneham | 1 | 0 % |
| United States | Kansas | Leawood | 1 | 0 % |
| United States | Texas | Plano | 1 | 0 % |
| India | Haryana | Panipat | 1 | 0 % |
| Canada | Ontario | Markham | 1 | 0 % |
| Brazil | Goias | Piracanjuba | 1 | 0 % |
| South Korea | Kyonggi-do | Gimpo-si | 1 | 0 % |
| Netherlands | Noord-Brabant | Breda | 1 | 0 % |
| Japan | Ibaraki | Hitachi-naka | 1 | 0 % |
| Thailand | Pathum Thani | Khlong luang | 1 | 0 % |
| United States | California | Winnetka | 1 | 0 % |
| United States | Michigan | Grand rapids | 1 | 0 % |
| South Korea | Kyonggi-do | Gwangsan | 1 | 0 % |
| China | Shaanxi | Yang | 1 | 0 % |
| Great Britain | Barnet | Golders green | 1 | 0 % |
| Czech Republic | Olomoucky Kraj | Olomouc | 1 | 0 % |
| United States | Oklahoma | Choctaw | 1 | 0 % |
| Japan | Miyagi | Osaki | 1 | 0 % |
| Great Britain | Stockport | Stockport | 1 | 0 % |
| Great Britain | Somerset | Taunton | 1 | 0 % |
| India | Karnataka | Hospet | 1 | 0 % |
| Japan | Kanagawa | Ninomiya | 1 | 0 % |
| United States | Texas | League city | 1 | 0 % |
| Japan | Tottori | Kurayoshi | 1 | 0 % |
| Japan | Gifu | Gujo | 1 | 0 % |
| South Korea | Kwangju-jikhalsi | Buk-gu | 1 | 0 % |
| United States | Michigan | Flint | 1 | 0 % |
| India | Andhra Pradesh | Rajahmundry | 1 | 0 % |
| Sweden | Stockholms Lan | Stockholm | 1 | 0 % |
| Thailand | Krabi | Krabi | 1 | 0 % |
| United States | Virginia | Winchester | 1 | 0 % |
| Great Britain | Leicestershire | Glenfield | 1 | 0 % |
| Great Britain | Hampshire | Fleet | 1 | 0 % |
| United States | Iowa | Coon rapids | 1 | 0 % |
| United States | New Jersey | Manville | 1 | 0 % |
| Japan | Aichi | Kariya | 1 | 0 % |
| United States | Indiana | Goshen | 1 | 0 % |
| India | Andhra Pradesh | Visakhapatnam | 1 | 0 % |
| Japan | Ibaraki | Ishioka | 1 | 0 % |
| India | Jharkhand | Giridih | 1 | 0 % |
| Canada | Ontario | Waterloo | 1 | 0 % |
| United States | Oklahoma | Boise city | 1 | 0 % |
| United States | Alabama | Huntsville | 1 | 0 % |
| Great Britain | North Lanarkshire | Bellshill | 1 | 0 % |
| Russian Federation | Khabarovsk | Khabarovsk | 1 | 0 % |
| China | Zhejiang | Ruian | 1 | 0 % |
| India | Andhra Pradesh | Tadepalli | 1 | 0 % |
| Czech Republic | Jihomoravsky Kraj | Tisnov | 1 | 0 % |
| Mexico | Baja California | Ensenada | 1 | 0 % |
| Great Britain | Bedfordshire | Bedford | 1 | 0 % |
| Norway | Vestfold | Tjøme | 1 | 0 % |
| Japan | Toyama | Uozu | 1 | 0 % |
| United States | California | Santa cruz | 1 | 0 % |
| Japan | Ehime | Uwajima | 1 | 0 % |
| Great Britain | Enfield | Enfield | 1 | 0 % |
| Russian Federation | Sverdlovsk | Revda | 1 | 0 % |
| Brazil | Goias | Nazario | 1 | 0 % |
| Japan | Saitama | Fujimino | 1 | 0 % |
| United States | Washington | Gig harbor | 1 | 0 % |
| Great Britain | Lancashire | Preston | 1 | 0 % |
| Thailand | Nakhon Sawan | Nong bua | 1 | 0 % |
| Japan | Shiga | Moriyama | 1 | 0 % |
| Mexico | Jalisco | Guadalajara | 1 | 0 % |
| Canada | Ontario | Whitby | 1 | 0 % |
| Great Britain | East Sussex | Seaford | 1 | 0 % |
| Thailand | | Nakhon phanom | 1 | 0 % |
| Germany | Thuringen | Steinbach-hallenberg | 1 | 0 % |
| Great Britain | Swindon | Swindon | 1 | 0 % |
| Canada | Ontario | Bolton | 1 | 0 % |
| Japan | Ibaraki | Tsuchiura | 1 | 0 % |
| Others/Unknown | 4619 | 25.4 % |
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