| Countries | Regions | Cities: 1241 | Hits | Percent |
|---|
| South Korea | Seoul-t'ukpyolsi | Seoul | 1,450 | 13.5 % |
| Brazil | Goias | Goiania | 793 | 7.4 % |
| Thailand | Khon Kaen | Bangkok | 333 | 3.1 % |
| Japan | Tokyo | Tokyo | 331 | 3 % |
| China | Beijing | Beijing | 132 | 1.2 % |
| South Korea | Pusan-jikhalsi | Busan | 117 | 1 % |
| Canada | Manitoba | Winnipeg | 114 | 1 % |
| South Korea | Taegu-jikhalsi | Daegu | 104 | 0.9 % |
| Russian Federation | Sverdlovsk | Yekaterinburg | 99 | 0.9 % |
| United States | Oregon | Boardman | 82 | 0.7 % |
| South Korea | Inch'on-jikhalsi | Incheon | 67 | 0.6 % |
| South Korea | Taejon-jikhalsi | Daejeon | 64 | 0.5 % |
| Japan | Osaka | Osaka | 55 | 0.5 % |
| South Korea | Kyonggi-do | Seongnam | 55 | 0.5 % |
| South Korea | Kyonggi-do | Suwon | 47 | 0.4 % |
| South Korea | Kyonggi-do | Bucheon | 45 | 0.4 % |
| Indonesia | Jawa Timur | Surabaya | 44 | 0.4 % |
| Japan | Aichi | Nagoya | 40 | 0.3 % |
| South Korea | Kwangju-jikhalsi | Gwangju | 38 | 0.3 % |
| Thailand | Khon Kaen | Huai khwang | 36 | 0.3 % |
| South Korea | Kyongsang-namdo | Kimhae | 34 | 0.3 % |
| South Korea | Kyonggi-do | Ansan | 34 | 0.3 % |
| South Korea | Kyonggi-do | Yongin | 31 | 0.2 % |
| Canada | Ontario | Toronto | 31 | 0.2 % |
| Italy | Lombardia | Parabiago | 27 | 0.2 % |
| United States | Missouri | Saint louis | 27 | 0.2 % |
| Russian Federation | Moscow City | Moscow | 26 | 0.2 % |
| South Korea | Kyongsang-namdo | Changwon | 25 | 0.2 % |
| United States | California | Mountain view | 25 | 0.2 % |
| Japan | Fukuoka | Fukuoka | 25 | 0.2 % |
| United States | Illinois | Chicago | 25 | 0.2 % |
| Italy | Sicilia | Aci bonaccorsi | 24 | 0.2 % |
| Japan | Kanagawa | Yokohama | 24 | 0.2 % |
| South Korea | Ch'ungch'ong-namdo | Asan | 24 | 0.2 % |
| Indonesia | Kalimantan Timur | Tarakan | 23 | 0.2 % |
| United States | Washington | Kenmore | 22 | 0.2 % |
| Brazil | Rio Grande do Sul | Sapucaia | 22 | 0.2 % |
| Japan | Kyoto | Kyoto | 21 | 0.1 % |
| South Korea | Ch'ungch'ong-bukto | Cheongju | 21 | 0.1 % |
| Guatemala | Guatemala | Guatemala city | 21 | 0.1 % |
| United States | Washington | Seattle | 21 | 0.1 % |
| United States | California | Modesto | 20 | 0.1 % |
| South Korea | Cholla-bukto | Jeonju | 19 | 0.1 % |
| United States | Virginia | Ashburn | 18 | 0.1 % |
| United States | Missouri | Springfield | 17 | 0.1 % |
| Russian Federation | Khanty-Mansiy | Surgut | 16 | 0.1 % |
| Thailand | Nonthaburi | Nonthaburi | 16 | 0.1 % |
| South Korea | Kyongsang-bukto | Pohang | 16 | 0.1 % |
| Japan | Chiba | Chiba | 16 | 0.1 % |
| United States | New Jersey | Clifton | 16 | 0.1 % |
| India | Karnataka | Bangalore | 15 | 0.1 % |
| United States | Illinois | Naperville | 15 | 0.1 % |
| Brazil | Sao Paulo | Guaruja | 15 | 0.1 % |
| South Korea | Kyonggi-do | Jangseong | 15 | 0.1 % |
| South Korea | Kyonggi-do | Goyang-si | 15 | 0.1 % |
| Japan | Hokkaido | Sapporo | 14 | 0.1 % |
| Japan | Kanagawa | Kawasaki | 14 | 0.1 % |
| Republic of Serbia | | Belgrade | 14 | 0.1 % |
| Bermuda | Hamilton | Hamilton | 14 | 0.1 % |
| United States | District of Columbia | Washington | 13 | 0.1 % |
| South Korea | Kyonggi-do | Anseong | 13 | 0.1 % |
| South Korea | Seoul-t'ukpyolsi | Gangnam-gu | 13 | 0.1 % |
| South Korea | Inch'on-jikhalsi | Yeonsu-gu | 13 | 0.1 % |
| South Korea | Kyonggi-do | Seongdong | 13 | 0.1 % |
| Japan | Saitama | Saitama | 13 | 0.1 % |
| South Korea | Kangwon-do | Wonju | 12 | 0.1 % |
| South Korea | Seoul-t'ukpyolsi | Yangcheon-gu | 12 | 0.1 % |
| Brazil | Minas Gerais | Amarantina | 12 | 0.1 % |
| South Korea | Kyonggi-do | Hwaseong-si | 12 | 0.1 % |
| South Korea | Ulsan-gwangyoksi | Ulsan | 12 | 0.1 % |
| Canada | Ontario | Barrie | 12 | 0.1 % |
| Brazil | Rio de Janeiro | Rio de janeiro | 12 | 0.1 % |
| South Korea | | Sejong | 12 | 0.1 % |
| Japan | Hyogo | Kobe | 11 | 0.1 % |
| South Korea | Cholla-bukto | Iksan | 11 | 0.1 % |
| Canada | Ontario | Ottawa | 11 | 0.1 % |
| South Korea | Pusan-jikhalsi | Haeundae | 11 | 0.1 % |
| South Korea | Ch'ungch'ong-namdo | Cheonan | 11 | 0.1 % |
| India | Maharashtra | Pune | 11 | 0.1 % |
| United States | Nevada | Las vegas | 11 | 0.1 % |
| South Korea | Seoul-t'ukpyolsi | Dongdaemun-gu | 11 | 0.1 % |
| South Korea | Kangwon-do | Chuncheon | 11 | 0.1 % |
| Brazil | Rio Grande do Sul | Porto alegre | 10 | 0 % |
| South Korea | Kyonggi-do | Anyang | 10 | 0 % |
| Japan | Tokyo | Kunitachi | 10 | 0 % |
| United States | New York | New york | 10 | 0 % |
| China | Henan | Zhengzhou | 10 | 0 % |
| Japan | Nagano | Nagano | 10 | 0 % |
| United States | Colorado | Montrose | 10 | 0 % |
| United States | Pennsylvania | Philadelphia | 10 | 0 % |
| Netherlands | Noord-Holland | Amsterdam | 10 | 0 % |
| Mexico | Distrito Federal | Mexico | 10 | 0 % |
| Japan | Hiroshima | Hiroshima | 10 | 0 % |
| Brazil | Rio Grande do Sul | Canoas | 10 | 0 % |
| South Korea | Kyonggi-do | Osan | 10 | 0 % |
| Czech Republic | Hlavni Mesto Praha | Prague | 9 | 0 % |
| Brazil | Sao Paulo | Sao paulo | 9 | 0 % |
| Brazil | Rio Grande do Sul | Tres coroas | 9 | 0 % |
| United States | Texas | Houston | 9 | 0 % |
| South Korea | Cholla-bukto | Jeollabuk-do | 9 | 0 % |
| South Korea | Seoul-t'ukpyolsi | Nowon-gu | 9 | 0 % |
| Argentina | Distrito Federal | Buenos aires | 9 | 0 % |
| United States | Washington | Bellevue | 9 | 0 % |
| Japan | Kumamoto | Kumamoto | 9 | 0 % |
| Japan | Shizuoka | Shizuoka | 9 | 0 % |
| South Korea | Kyongsang-bukto | Gyeongsan | 9 | 0 % |
| United States | New York | Buffalo | 9 | 0 % |
| United States | California | San jose | 9 | 0 % |
| United States | California | Santa clara | 8 | 0 % |
| United States | Texas | Irving | 8 | 0 % |
| Japan | Kochi | Kochi | 8 | 0 % |
| South Korea | Cholla-namdo | Suncheon | 8 | 0 % |
| Japan | Hyogo | Himeji | 8 | 0 % |
| Great Britain | London, City of | London | 8 | 0 % |
| Brazil | Rio Grande do Sul | Sao leopoldo | 8 | 0 % |
| South Korea | Seoul-t'ukpyolsi | Koyang | 8 | 0 % |
| Japan | Nara | Nara | 8 | 0 % |
| Japan | Kanagawa | Fujisawa | 8 | 0 % |
| Canada | Ontario | Mississauga | 8 | 0 % |
| Thailand | Chon Buri | Pattaya | 8 | 0 % |
| Russian Federation | Sverdlovsk | Asbest | 8 | 0 % |
| South Korea | Inch'on-jikhalsi | Bupyeong-gu | 8 | 0 % |
| Indonesia | Jawa Barat | Bandung | 7 | 0 % |
| South Korea | Kyonggi-do | Namyangju | 7 | 0 % |
| Japan | Okayama | Okayama | 7 | 0 % |
| India | Andhra Pradesh | Hyderabad | 7 | 0 % |
| China | Shanghai | Shanghai | 7 | 0 % |
| United States | Tennessee | Memphis | 7 | 0 % |
| South Korea | Kyonggi-do | Gimpo-si | 7 | 0 % |
| South Korea | Kyonggi-do | Gyeonggi-do | 7 | 0 % |
| South Korea | Kwangju-jikhalsi | Nam-gu | 7 | 0 % |
| Brazil | Distrito Federal | Brasilia | 7 | 0 % |
| United States | Colorado | Englewood | 7 | 0 % |
| Taiwan | T'ai-pei | Taipei | 7 | 0 % |
| South Korea | Seoul-t'ukpyolsi | Jongno-gu | 7 | 0 % |
| Japan | Gifu | Gifu | 6 | 0 % |
| Japan | Osaka | Habikino | 6 | 0 % |
| Israel | HaMerkaz | Yehud | 6 | 0 % |
| Brazil | Sao Paulo | Campinas | 6 | 0 % |
| Russian Federation | Sverdlovsk | Pervouralsk | 6 | 0 % |
| India | Tamil Nadu | Coimbatore | 6 | 0 % |
| Germany | Hessen | Frankfurt | 6 | 0 % |
| Thailand | Chiang Mai | Chiang mai | 6 | 0 % |
| South Korea | Ch'ungch'ong-namdo | Yesan | 6 | 0 % |
| United States | Wyoming | Evanston | 6 | 0 % |
| United States | New Jersey | Jersey city | 6 | 0 % |
| United States | Colorado | Denver | 6 | 0 % |
| Spain | Andalucia | Sanlúcar la mayor | 6 | 0 % |
| United States | New York | Brooklyn | 6 | 0 % |
| India | Tamil Nadu | Chennai | 6 | 0 % |
| United States | Florida | Miami | 6 | 0 % |
| South Korea | Kyonggi-do | Paju | 6 | 0 % |
| Canada | Quebec | Montréal | 6 | 0 % |
| Japan | Niigata | Niigata | 6 | 0 % |
| South Korea | Kyonggi-do | Pocheon-si | 6 | 0 % |
| Japan | Tokushima | Tokushima | 5 | 0 % |
| China | Shaanxi | Xian | 5 | 0 % |
| Japan | Miyagi | Sendai | 5 | 0 % |
| United States | California | San francisco | 5 | 0 % |
| Japan | Kagoshima | Kagoshima | 5 | 0 % |
| United States | Minnesota | Minneapolis | 5 | 0 % |
| Thailand | Chon Buri | Chon buri | 5 | 0 % |
| Peru | Lima | Lima | 5 | 0 % |
| Japan | Mie | Suzuka | 5 | 0 % |
| United States | Iowa | Des moines | 5 | 0 % |
| Vietnam | | Hanoi | 5 | 0 % |
| India | Maharashtra | Mumbai | 5 | 0 % |
| South Korea | Kyonggi-do | Yeoju | 5 | 0 % |
| South Korea | Ch'ungch'ong-namdo | Gongju | 5 | 0 % |
| United States | Tennessee | Tullahoma | 5 | 0 % |
| United States | Ohio | Columbus | 5 | 0 % |
| Thailand | Khon Kaen | Khon kaen | 5 | 0 % |
| South Korea | Kyonggi-do | Anjung | 5 | 0 % |
| South Korea | Seoul-t'ukpyolsi | Dongjak-gu | 5 | 0 % |
| Japan | Gumma | Maebashi | 5 | 0 % |
| South Korea | Kyongsang-namdo | Yangsan | 5 | 0 % |
| United States | Illinois | Buffalo grove | 5 | 0 % |
| South Korea | Cholla-namdo | Mokpo | 5 | 0 % |
| Singapore | | Singapore | 5 | 0 % |
| Japan | Saitama | Kawagoe | 5 | 0 % |
| Thailand | Rayong | Rayong | 5 | 0 % |
| Great Britain | Birmingham | Birmingham | 5 | 0 % |
| Japan | Osaka | Sakai | 5 | 0 % |
| United States | Florida | Clearwater | 5 | 0 % |
| United States | Georgia | Atlanta | 5 | 0 % |
| South Korea | Seoul-t'ukpyolsi | Yeongdeungpo-gu | 5 | 0 % |
| Italy | Lazio | Rome | 5 | 0 % |
| Japan | Kanagawa | Atsugi | 5 | 0 % |
| Japan | Aomori | Aomori | 5 | 0 % |
| Japan | Kanagawa | Hiratsuka | 5 | 0 % |
| Japan | Nagasaki | Nagasaki | 5 | 0 % |
| South Korea | Seoul-t'ukpyolsi | Mapo | 5 | 0 % |
| Poland | Mazowieckie | Piaseczno | 5 | 0 % |
| United States | Arizona | Phoenix | 5 | 0 % |
| Brazil | Rio Grande do Sul | Dois irmaos | 5 | 0 % |
| Japan | Oita | Oita | 5 | 0 % |
| United States | California | Los angeles | 4 | 0 % |
| South Korea | Kyongsang-namdo | Gyeongsangnam-do | 4 | 0 % |
| Japan | Akita | Akita | 4 | 0 % |
| United States | Florida | Tampa | 4 | 0 % |
| Brazil | Tocantins | Wanderlandia | 4 | 0 % |
| South Korea | Pusan-jikhalsi | Pusan | 4 | 0 % |
| Russian Federation | Sverdlovsk | Aramil | 4 | 0 % |
| South Korea | Seoul-t'ukpyolsi | Seocho | 4 | 0 % |
| South Korea | Seoul-t'ukpyolsi | Gwangjin-gu | 4 | 0 % |
| Japan | Toyama | Toyama | 4 | 0 % |
| Hong Kong | | Central district | 4 | 0 % |
| United States | North Carolina | Mooresville | 4 | 0 % |
| Japan | Tochigi | Utsunomiya | 4 | 0 % |
| United States | Texas | Dallas | 4 | 0 % |
| Poland | Mazowieckie | Warsaw | 4 | 0 % |
| Canada | Ontario | Cambridge | 4 | 0 % |
| South Korea | Kyongsang-namdo | Hamyang | 4 | 0 % |
| Japan | Fukuoka | Kitakyushu | 4 | 0 % |
| South Korea | Cholla-namdo | Gwangyang | 4 | 0 % |
| United States | Washington | Kent | 4 | 0 % |
| India | Gujarat | Ahmedabad | 4 | 0 % |
| Japan | Saitama | Soka | 4 | 0 % |
| Japan | Miyazaki | Miyazaki | 4 | 0 % |
| Japan | Mie | Tsu | 4 | 0 % |
| South Korea | Kyonggi-do | Hanam | 4 | 0 % |
| South Korea | Kyonggi-do | Uijongbu | 4 | 0 % |
| Chile | Region Metropolitana | Santiago | 4 | 0 % |
| China | Guangdong | Shenzhen | 4 | 0 % |
| Brazil | Rio de Janeiro | Nilopolis | 4 | 0 % |
| United States | California | San mateo | 4 | 0 % |
| China | Guangdong | Guangzhou | 4 | 0 % |
| Great Britain | Cambridgeshire | Cambridge | 4 | 0 % |
| Thailand | Samut Sakhon | Mahachai | 4 | 0 % |
| United States | Washington | Kirkland | 4 | 0 % |
| Brazil | Mato Grosso | Cuiaba | 4 | 0 % |
| Thailand | Ratchaburi | Ratchaburi | 4 | 0 % |
| United States | Washington | Marysville | 4 | 0 % |
| United Arab Emirates | Dubay | Dubai | 4 | 0 % |
| South Korea | Kyonggi-do | Guri-si | 4 | 0 % |
| United States | Michigan | Ann arbor | 4 | 0 % |
| Canada | Ontario | Saint thomas | 4 | 0 % |
| Japan | Saitama | Nishi | 4 | 0 % |
| United States | Arkansas | Little rock | 4 | 0 % |
| South Korea | Kyonggi-do | Kimpo | 4 | 0 % |
| United States | Texas | Austin | 4 | 0 % |
| South Korea | Inch'on-jikhalsi | Gwangmyeong | 4 | 0 % |
| Japan | Hyogo | Amagasaki | 3 | 0 % |
| United States | Colorado | Aurora | 3 | 0 % |
| Brazil | Rio Grande do Sul | Caxias do sul | 3 | 0 % |
| Brazil | Goias | Posse | 3 | 0 % |
| Russian Federation | Tyumen' | Tyumen | 3 | 0 % |
| Canada | Ontario | Oakville | 3 | 0 % |
| United States | Louisiana | Baton rouge | 3 | 0 % |
| United States | Indiana | Clinton | 3 | 0 % |
| Japan | Nara | Ikoma | 3 | 0 % |
| Japan | Wakayama | Wakayama | 3 | 0 % |
| United States | California | Palo alto | 3 | 0 % |
| South Korea | Kyonggi-do | Yeosu | 3 | 0 % |
| Japan | Shizuoka | Numazu | 3 | 0 % |
| Brazil | Rio Grande do Sul | Gravatai | 3 | 0 % |
| Great Britain | Cardiff | Cardiff | 3 | 0 % |
| Japan | Tokyo | Musashino | 3 | 0 % |
| United States | Utah | Salt lake city | 3 | 0 % |
| France | Ile-de-France | Paris | 3 | 0 % |
| Republic of Serbia | | Beograd | 3 | 0 % |
| United States | North Carolina | Charlotte | 3 | 0 % |
| United States | Delaware | Newark | 3 | 0 % |
| Japan | Gumma | Ota | 3 | 0 % |
| Thailand | Khon Kaen | Don mueang | 3 | 0 % |
| Japan | Kanagawa | Zama | 3 | 0 % |
| Japan | Shizuoka | Gotemba | 3 | 0 % |
| Japan | Shiga | Otsu | 3 | 0 % |
| United States | Washington | Sammamish | 3 | 0 % |
| United States | Massachusetts | Waltham | 3 | 0 % |
| Japan | Kanagawa | Yokosuka | 3 | 0 % |
| United States | Kentucky | Manchester | 3 | 0 % |
| Canada | Ontario | Orillia | 3 | 0 % |
| China | Guangxi | Nanning | 3 | 0 % |
| Japan | Nagasaki | Sasebo | 3 | 0 % |
| United States | North Carolina | Youngsville | 3 | 0 % |
| Croatia | Grad Zagreb | Zagreb | 3 | 0 % |
| Czech Republic | Karlovarsky Kraj | Karlovy vary | 3 | 0 % |
| Japan | Niigata | Nagaoka | 3 | 0 % |
| Mexico | Guerrero | Acapulco | 3 | 0 % |
| Japan | Tokyo | Nerima | 3 | 0 % |
| United States | Florida | Orlando | 3 | 0 % |
| Italy | Piemonte | Moncalieri | 3 | 0 % |
| Great Britain | Nottingham | Nottingham | 3 | 0 % |
| United States | Washington | Redmond | 3 | 0 % |
| Brazil | Rio Grande do Sul | Cachoeirinha | 3 | 0 % |
| United States | Nebraska | Omaha | 3 | 0 % |
| South Korea | Kyonggi-do | Kwachon | 3 | 0 % |
| Thailand | Pathum Thani | Thanyaburi | 3 | 0 % |
| Canada | Ontario | Brampton | 3 | 0 % |
| Japan | Ehime | Matsuyama | 3 | 0 % |
| Japan | Ibaraki | Tsukuba | 3 | 0 % |
| Japan | Mie | Yokkaichi | 3 | 0 % |
| United States | Florida | Fort myers | 3 | 0 % |
| United States | Illinois | Oak brook | 3 | 0 % |
| Japan | Hyogo | Ashiya | 3 | 0 % |
| United States | Pennsylvania | Downingtown | 3 | 0 % |
| Japan | Osaka | Suita | 3 | 0 % |
| Japan | Fukui | Fukui | 3 | 0 % |
| Thailand | Prachuap Khiri Khan | Hua hin | 3 | 0 % |
| Brazil | Mato Grosso do Sul | Rio verde de mato grosso | 3 | 0 % |
| Brazil | Rio Grande do Sul | Novo hamburgo | 3 | 0 % |
| United States | California | Redondo beach | 3 | 0 % |
| South Korea | Cholla-bukto | Kunsan | 3 | 0 % |
| United States | California | San diego | 3 | 0 % |
| Japan | Miyazaki | Miyakonojo | 3 | 0 % |
| Canada | Ontario | Hamilton | 3 | 0 % |
| South Korea | Seoul-t'ukpyolsi | Jungnang-gu | 3 | 0 % |
| United States | Delaware | Wilmington | 3 | 0 % |
| Japan | Hokkaido | Obihiro | 3 | 0 % |
| Thailand | Songkhla | Songkhla | 3 | 0 % |
| Canada | Ontario | Whitby | 3 | 0 % |
| Australia | New South Wales | Sydney | 2 | 0 % |
| United States | Arizona | Scottsdale | 2 | 0 % |
| Mexico | Coahuila de Zaragoza | Torreón | 2 | 0 % |
| United States | Ohio | Mason | 2 | 0 % |
| Great Britain | Leeds | Leeds | 2 | 0 % |
| United States | Pennsylvania | Morrisville | 2 | 0 % |
| Japan | Tochigi | Nikko | 2 | 0 % |
| South Korea | Kyonggi-do | Gunpo | 2 | 0 % |
| South Korea | Seoul-t'ukpyolsi | Gwanak-gu | 2 | 0 % |
| Canada | Ontario | Thornhill | 2 | 0 % |
| South Korea | Kyonggi-do | Namyang | 2 | 0 % |
| Japan | Osaka | Kashiwara | 2 | 0 % |
| Japan | Aichi | Obu | 2 | 0 % |
| Thailand | Phuket | Phuket | 2 | 0 % |
| Thailand | Chiang Rai | Chiang rai | 2 | 0 % |
| Japan | Osaka | Ibaraki | 2 | 0 % |
| Brazil | Goias | Catalao | 2 | 0 % |
| South Korea | Seoul-t'ukpyolsi | Songpa-gu | 2 | 0 % |
| Great Britain | Reading | Reading | 2 | 0 % |
| South Korea | Kyongsang-namdo | Jinju | 2 | 0 % |
| Great Britain | Bury | Bury | 2 | 0 % |
| Japan | Chiba | Matsudo | 2 | 0 % |
| Japan | Osaka | Kaizuka | 2 | 0 % |
| Thailand | Krabi | Muang krabi | 2 | 0 % |
| United States | Washington | Renton | 2 | 0 % |
| Great Britain | Bristol, City of | Bristol | 2 | 0 % |
| Japan | Tokyo | Chofu | 2 | 0 % |
| Thailand | Kamphaeng Phet | Kamphaeng phet | 2 | 0 % |
| Japan | Aichi | Toyota | 2 | 0 % |
| United States | Alabama | Birmingham | 2 | 0 % |
| Thailand | Chanthaburi | Chanthaburi | 2 | 0 % |
| South Korea | Ch'ungch'ong-bukto | Yangju | 2 | 0 % |
| Japan | Hokkaido | Hakodate | 2 | 0 % |
| Canada | Ontario | Guelph | 2 | 0 % |
| Brazil | Mato Grosso do Sul | Santa | 2 | 0 % |
| Portugal | Coimbra | Coimbra | 2 | 0 % |
| Thailand | Loei | Loei | 2 | 0 % |
| South Korea | Kyongsang-namdo | Miryang | 2 | 0 % |
| United States | Washington | Greenbank | 2 | 0 % |
| United States | Texas | Odessa | 2 | 0 % |
| Japan | Chiba | Sakura | 2 | 0 % |
| United States | Kentucky | Sedalia | 2 | 0 % |
| United States | Washington | Bothell | 2 | 0 % |
| Canada | Ontario | Burlington | 2 | 0 % |
| Thailand | Ang Thong | Sawaengha | 2 | 0 % |
| Japan | Shimane | Izumo | 2 | 0 % |
| India | Punjab | Jalandhar | 2 | 0 % |
| Japan | Kagawa | Takamatsu | 2 | 0 % |
| Japan | Osaka | Kishiwada | 2 | 0 % |
| South Korea | Kyongsang-namdo | Gimhae-si | 2 | 0 % |
| Japan | Mie | Iga | 2 | 0 % |
| Thailand | Samut Sakhon | Krathumban | 2 | 0 % |
| United States | Texas | Fort worth | 2 | 0 % |
| United States | Washington | Woodinville | 2 | 0 % |
| Belgium | Brussels Hoofdstedelijk Gewest | Brussels | 2 | 0 % |
| Thailand | Samut Songkhram | Ubon | 2 | 0 % |
| Japan | Aichi | Chita | 2 | 0 % |
| Japan | Kanagawa | Sagamihara | 2 | 0 % |
| Canada | Ontario | Perth road | 2 | 0 % |
| United States | Indiana | Indianapolis | 2 | 0 % |
| Great Britain | Glasgow City | Glasgow | 2 | 0 % |
| South Korea | Kyonggi-do | Jeongok | 2 | 0 % |
| Brazil | Rio Grande do Sul | Sapucaia do sul | 2 | 0 % |
| Japan | Aichi | Komaki | 2 | 0 % |
| United States | New York | Huntington station | 2 | 0 % |
| South Korea | Kyonggi-do | Uiwang | 2 | 0 % |
| Japan | Saitama | Koshigaya | 2 | 0 % |
| Thailand | Sukhothai | Nakhon si thammarat | 2 | 0 % |
| United States | Kentucky | London | 2 | 0 % |
| United States | Virginia | Franklin | 2 | 0 % |
| Japan | Tokyo | Kokubunji | 2 | 0 % |
| United States | Washington | Everett | 2 | 0 % |
| United States | Washington | Vancouver | 2 | 0 % |
| Thailand | | Bang kham | 2 | 0 % |
| Japan | Kanagawa | Hadano | 2 | 0 % |
| Russian Federation | Sverdlovsk | Ekaterinburg | 2 | 0 % |
| Thailand | Saraburi | Saraburi | 2 | 0 % |
| Kenya | Nairobi Area | Nairobi | 2 | 0 % |
| Japan | Saitama | Yoshikawa | 2 | 0 % |
| Great Britain | Aberdeen City | Aberdeen | 2 | 0 % |
| Thailand | Samut Prakan | Samut prakan | 2 | 0 % |
| South Korea | Kyongsang-bukto | Gyeongju | 2 | 0 % |
| United States | Minnesota | Minnetonka | 2 | 0 % |
| United States | Nevada | Henderson | 2 | 0 % |
| Brazil | Rio Grande do Sul | Sao sebastiao do cai | 2 | 0 % |
| Japan | Hyogo | Tokyo | 2 | 0 % |
| Canada | Ontario | Port carling | 2 | 0 % |
| Japan | Toyama | Uozu | 2 | 0 % |
| Japan | Shimane | Minami | 2 | 0 % |
| Canada | Ontario | Newmarket | 2 | 0 % |
| India | West Bengal | Kolkata | 2 | 0 % |
| United States | New Jersey | Lyndhurst | 2 | 0 % |
| India | Delhi | Delhi | 2 | 0 % |
| Thailand | Chon Buri | Bang lamung | 2 | 0 % |
| Canada | Saskatchewan | Regina | 2 | 0 % |
| Turkey | Trabzon | Trabzon | 2 | 0 % |
| Thailand | Samut Songkhram | Maklong | 2 | 0 % |
| Canada | Ontario | Bracebridge | 2 | 0 % |
| Canada | Ontario | Richmond hill | 2 | 0 % |
| Japan | Tokyo | Musashimurayama | 2 | 0 % |
| Canada | British Columbia | Vancouver | 2 | 0 % |
| Japan | Osaka | Hirakata | 2 | 0 % |
| United States | South Carolina | Hartsville | 2 | 0 % |
| Great Britain | Nottinghamshire | Mansfield | 2 | 0 % |
| Italy | Abruzzi | L'aquila | 2 | 0 % |
| Russian Federation | Ryazan' | Ryazan | 2 | 0 % |
| Japan | Ibaraki | Fukushima | 2 | 0 % |
| Japan | Okinawa | Nago | 2 | 0 % |
| South Korea | Kangwon-do | Yanggu | 2 | 0 % |
| Japan | Saitama | Tokorozawa | 2 | 0 % |
| Indonesia | Kalimantan Timur | Balikpapan | 2 | 0 % |
| Japan | Saitama | Ageo | 2 | 0 % |
| United States | Washington | Clinton | 2 | 0 % |
| Great Britain | Sunderland | Sunderland | 2 | 0 % |
| United States | California | Sacramento | 2 | 0 % |
| India | Andhra Pradesh | Visakhapatnam | 2 | 0 % |
| Russian Federation | Saint Petersburg City | Saint petersburg | 2 | 0 % |
| Japan | Tokyo | Hachioji | 2 | 0 % |
| Japan | Hokkaido | Asahikawa | 2 | 0 % |
| India | Daman and Diu | Diu | 2 | 0 % |
| Japan | Shizuoka | Hamamatsu | 2 | 0 % |
| Ukraine | Kyyiv | Kiev | 2 | 0 % |
| Russian Federation | Vologda | Vologda | 2 | 0 % |
| China | Guangdong | Foshan | 2 | 0 % |
| Japan | Ishikawa | Komatsu | 2 | 0 % |
| Japan | Nara | Kashihara | 2 | 0 % |
| United States | Florida | North miami beach | 2 | 0 % |
| Japan | Tokyo | Koganei | 2 | 0 % |
| South Korea | Cheju-do | Jeju | 2 | 0 % |
| Japan | Ibaraki | Koriyama | 2 | 0 % |
| United States | Wyoming | Gillette | 2 | 0 % |
| South Korea | Kangwon-do | Gangneung | 2 | 0 % |
| Japan | Aichi | Nisshin | 2 | 0 % |
| United States | California | Riverside | 2 | 0 % |
| Turkey | Ordu | Akçatepe | 2 | 0 % |
| Laos | Vientiane | Vientiane | 2 | 0 % |
| China | Jiangsu | Nanjing | 2 | 0 % |
| United States | California | Laguna niguel | 2 | 0 % |
| Japan | Tokyo | Setagaya | 2 | 0 % |
| Chile | Magallanes y de la Antartica Chilena | Punta arenas | 2 | 0 % |
| Japan | Osaka | Izumi | 2 | 0 % |
| United States | Maryland | Rockville | 2 | 0 % |
| United States | California | Simi valley | 2 | 0 % |
| United States | Michigan | Marquette | 2 | 0 % |
| United States | Georgia | Athens | 2 | 0 % |
| United States | New Mexico | Lovington | 2 | 0 % |
| Canada | Ontario | Oshawa | 2 | 0 % |
| United States | Missouri | Marshfield | 2 | 0 % |
| South Korea | Kyongsang-bukto | Chungbuk | 2 | 0 % |
| Japan | Saitama | Sakado | 2 | 0 % |
| Iceland | | Reykjavík | 2 | 0 % |
| Japan | Shiga | Koka | 2 | 0 % |
| South Korea | Ch'ungch'ong-bukto | Sacheon | 2 | 0 % |
| South Korea | Pusan-jikhalsi | Geumjeong-gu | 2 | 0 % |
| South Korea | Pusan-jikhalsi | Seo-gu | 2 | 0 % |
| South Korea | Kyonggi-do | Sihung | 2 | 0 % |
| United States | Washington | Orting | 2 | 0 % |
| Japan | Osaka | Higashi-osaka | 2 | 0 % |
| Great Britain | Windsor and Maidenhead | Ascot | 2 | 0 % |
| South Korea | Kyonggi-do | Pyeongtaek | 2 | 0 % |
| Great Britain | Belfast | Belfast | 2 | 0 % |
| South Korea | Ch'ungch'ong-namdo | Nonsan | 2 | 0 % |
| United States | Missouri | Nixa | 2 | 0 % |
| South Korea | Kyonggi-do | Icheon | 2 | 0 % |
| Thailand | Phayao | Ban pin | 2 | 0 % |
| Canada | Ontario | Etobicoke | 2 | 0 % |
| India | Kerala | Palakkad | 2 | 0 % |
| Japan | Mie | Matsusaka | 2 | 0 % |
| Japan | Saga | Saga | 2 | 0 % |
| Mexico | Jalisco | Guadalajara | 2 | 0 % |
| United States | South Carolina | Columbia | 2 | 0 % |
| Japan | Ishikawa | Kanazawa | 2 | 0 % |
| United States | Oregon | Salem | 2 | 0 % |
| Canada | Ontario | Clifford | 2 | 0 % |
| Japan | Fukui | Awara | 2 | 0 % |
| Japan | Kanagawa | Ebina | 1 | 0 % |
| Chile | Libertador General Bernardo O'Higgins | Rancagua | 1 | 0 % |
| United States | Nebraska | Crete | 1 | 0 % |
| United States | New York | Yonkers | 1 | 0 % |
| Thailand | | Ban hin ngom | 1 | 0 % |
| Japan | Nagano | Hakuba | 1 | 0 % |
| United States | South Carolina | Florence | 1 | 0 % |
| Great Britain | Cheshire | Winsford | 1 | 0 % |
| United States | Connecticut | Hebron | 1 | 0 % |
| United States | Pennsylvania | Doylestown | 1 | 0 % |
| Brazil | Minas Gerais | Ipatinga | 1 | 0 % |
| United States | Colorado | Broomfield | 1 | 0 % |
| United States | Pennsylvania | Bethlehem | 1 | 0 % |
| United States | Texas | Crystal city | 1 | 0 % |
| Japan | Tochigi | Kanuma | 1 | 0 % |
| United States | New York | Monsey | 1 | 0 % |
| Japan | Yamanashi | Yamanashi | 1 | 0 % |
| United States | Texas | Burnet | 1 | 0 % |
| Japan | Saitama | Kitamoto | 1 | 0 % |
| South Korea | Seoul-t'ukpyolsi | Gangbuk-gu | 1 | 0 % |
| Japan | Tottori | Yonago | 1 | 0 % |
| United States | Texas | Victoria | 1 | 0 % |
| India | Kerala | Ernakulam | 1 | 0 % |
| Thailand | Khon Kaen | Chatuchak | 1 | 0 % |
| United States | New York | Great neck | 1 | 0 % |
| Canada | Ontario | Peterborough | 1 | 0 % |
| Mexico | Puebla | Puebla | 1 | 0 % |
| United States | North Carolina | Clemmons | 1 | 0 % |
| Austria | Oberosterreich | Gmunden | 1 | 0 % |
| Thailand | Phayao | Pong | 1 | 0 % |
| Russian Federation | Volgograd | Volgograd | 1 | 0 % |
| United States | Idaho | Burley | 1 | 0 % |
| United States | Indiana | Batesville | 1 | 0 % |
| South Korea | Pusan-jikhalsi | Jung-gu | 1 | 0 % |
| Canada | Ontario | New hamburg | 1 | 0 % |
| United States | California | Azusa | 1 | 0 % |
| Thailand | Phra Nakhon Si Ayutthaya | Ayutthaya | 1 | 0 % |
| Japan | Ibaraki | Soma | 1 | 0 % |
| United States | Virginia | Aldie | 1 | 0 % |
| United States | New Jersey | Oradell | 1 | 0 % |
| Japan | Kanagawa | Kamakura | 1 | 0 % |
| Canada | Quebec | Beauharnois | 1 | 0 % |
| Japan | Nagasaki | Isahaya | 1 | 0 % |
| Thailand | Nakhon Pathom | Nakhon pathom | 1 | 0 % |
| Colombia | Antioquia | Medellin | 1 | 0 % |
| United States | Utah | Providence | 1 | 0 % |
| United States | Oklahoma | Bethany | 1 | 0 % |
| South Korea | | Sejong-si | 1 | 0 % |
| South Korea | Seoul-t'ukpyolsi | Eunpyeong-gu | 1 | 0 % |
| Russian Federation | Kemerovo | Kemerovo | 1 | 0 % |
| Japan | Hyogo | Akashi | 1 | 0 % |
| Japan | Chiba | Bunkyo | 1 | 0 % |
| Canada | Ontario | Richards landing | 1 | 0 % |
| United States | Arkansas | Prairie grove | 1 | 0 % |
| Thailand | Nakhon Ratchasima | Pak chong | 1 | 0 % |
| Japan | Shiga | Nagahama | 1 | 0 % |
| Great Britain | Richmond upon Thames | Barnes | 1 | 0 % |
| Brazil | Maranhao | Sao luis | 1 | 0 % |
| Brazil | Sao Paulo | Franca | 1 | 0 % |
| France | Ile-de-France | Ivry-sur-seine | 1 | 0 % |
| United States | Illinois | Carol stream | 1 | 0 % |
| United States | Texas | Kyle | 1 | 0 % |
| Venezuela | Anzoategui | Bergantín | 1 | 0 % |
| Great Britain | Oxfordshire | Oxford | 1 | 0 % |
| Morocco | | Casablanca | 1 | 0 % |
| Canada | Ontario | North bay | 1 | 0 % |
| Mexico | Guanajuato | Celaya | 1 | 0 % |
| Thailand | Samut Prakan | Samrong | 1 | 0 % |
| Netherlands | Utrecht | Utrecht | 1 | 0 % |
| United States | New Jersey | Highland park | 1 | 0 % |
| Great Britain | South Lanarkshire | Auchengray | 1 | 0 % |
| Japan | Kumamoto | Yatsushiro | 1 | 0 % |
| Turkey | Istanbul | Istanbul | 1 | 0 % |
| United States | New Jersey | Absecon | 1 | 0 % |
| Japan | Gifu | Ena | 1 | 0 % |
| United States | Massachusetts | Quincy | 1 | 0 % |
| United States | Ohio | North royalton | 1 | 0 % |
| Republic of Serbia | | Vranje | 1 | 0 % |
| United States | California | La mesa | 1 | 0 % |
| Brazil | Sao Paulo | Hortolandia | 1 | 0 % |
| South Africa | Gauteng | Johannesburg | 1 | 0 % |
| United Arab Emirates | Al Fujayrah | Fujairah | 1 | 0 % |
| United States | Maryland | Upper marlboro | 1 | 0 % |
| Philippines | Iligan | Iligan city | 1 | 0 % |
| United States | Alabama | Mobile | 1 | 0 % |
| Japan | Ibaraki | Iwaki | 1 | 0 % |
| United States | Kansas | Overland park | 1 | 0 % |
| Sri Lanka | | Galle | 1 | 0 % |
| United States | North Carolina | Greensboro | 1 | 0 % |
| Iraq | Al Muthanna | Thi qar | 1 | 0 % |
| United States | Illinois | Glenview | 1 | 0 % |
| Japan | Akita | Noshiro | 1 | 0 % |
| Brazil | Rio Grande do Sul | Sao jeronimo | 1 | 0 % |
| United States | Delaware | Lewes | 1 | 0 % |
| United States | Massachusetts | Cambridge | 1 | 0 % |
| China | Zhejiang | Ningbo | 1 | 0 % |
| India | Karnataka | Davangere | 1 | 0 % |
| Japan | Iwate | Kitakami | 1 | 0 % |
| India | Himachal Pradesh | Shimla | 1 | 0 % |
| Tunisia | Al Munastir | Teboulba | 1 | 0 % |
| Great Britain | Bedfordshire | Bedford | 1 | 0 % |
| United States | Virginia | Burke | 1 | 0 % |
| Japan | Hokkaido | Furano | 1 | 0 % |
| Thailand | Samut Prakan | Bang bo | 1 | 0 % |
| Japan | Aichi | Kariya | 1 | 0 % |
| United States | Oregon | Gresham | 1 | 0 % |
| Great Britain | Wiltshire | Devizes | 1 | 0 % |
| Japan | Aichi | Seto | 1 | 0 % |
| Japan | Ibaraki | Kashima | 1 | 0 % |
| Canada | Ontario | Tweed | 1 | 0 % |
| United States | Colorado | Milliken | 1 | 0 % |
| United States | Connecticut | Manchester | 1 | 0 % |
| Russian Federation | Sverdlovsk | Revda | 1 | 0 % |
| United States | Armed Forces Europe, Middle East, & Canada | Apo | 1 | 0 % |
| Germany | Hessen | Kassel | 1 | 0 % |
| South Korea | Kangwon-do | Pyeongchang | 1 | 0 % |
| Bolivia | El Beni | Santa cruz | 1 | 0 % |
| United States | New York | Schenectady | 1 | 0 % |
| Thailand | Chon Buri | Ang sila | 1 | 0 % |
| Japan | Shiga | Moriyama | 1 | 0 % |
| Australia | South Australia | Adelaide | 1 | 0 % |
| Japan | Aichi | Toyoake | 1 | 0 % |
| United States | California | Morgan hill | 1 | 0 % |
| Great Britain | North Down | Bangor | 1 | 0 % |
| Poland | Podkarpackie | Brzozow | 1 | 0 % |
| United States | California | Fontana | 1 | 0 % |
| Japan | Shizuoka | Fujieda | 1 | 0 % |
| United States | Idaho | Rexburg | 1 | 0 % |
| Costa Rica | San Jose | San rafael | 1 | 0 % |
| United States | California | Palmdale | 1 | 0 % |
| India | Tamil Nadu | Tirupur | 1 | 0 % |
| Guam (USA) | | Tamuning | 1 | 0 % |
| United States | Utah | Herriman | 1 | 0 % |
| Thailand | Rayong | Huai pong | 1 | 0 % |
| Japan | Tokyo | Higashiyamato | 1 | 0 % |
| Great Britain | Hammersmith and Fulham | Fulham | 1 | 0 % |
| United States | North Carolina | Waxhaw | 1 | 0 % |
| Japan | Chiba | Ichihara | 1 | 0 % |
| India | Kerala | Kollam | 1 | 0 % |
| Great Britain | Leicestershire | Walton | 1 | 0 % |
| Japan | Yamanashi | Otsuki | 1 | 0 % |
| Russian Federation | Sverdlovsk | Nizhniy tagil | 1 | 0 % |
| Thailand | Phra Nakhon Si Ayutthaya | Sena | 1 | 0 % |
| Canada | Ontario | Georgetown | 1 | 0 % |
| United States | New York | East elmhurst | 1 | 0 % |
| Brazil | Sao Paulo | Guarulhos | 1 | 0 % |
| South Korea | Ch'ungch'ong-namdo | Yongho | 1 | 0 % |
| South Korea | Kyonggi-do | Dobong | 1 | 0 % |
| India | Andhra Pradesh | Karimnagar | 1 | 0 % |
| Brazil | Sao Paulo | Osasco | 1 | 0 % |
| Chile | Bio-Bio | Los angeles | 1 | 0 % |
| Japan | Niigata | Kashiwazaki | 1 | 0 % |
| Great Britain | Sheffield | Sheffield | 1 | 0 % |
| United States | North Carolina | Sparta | 1 | 0 % |
| Brazil | Rio Grande do Sul | Rio pardo | 1 | 0 % |
| Japan | Nara | Yamato-takada | 1 | 0 % |
| United States | Colorado | Colorado springs | 1 | 0 % |
| Great Britain | Southampton | Southampton | 1 | 0 % |
| Japan | Tokyo | Suginami-ku | 1 | 0 % |
| Mexico | Nuevo Leon | Monterrey | 1 | 0 % |
| United States | New York | Pearl river | 1 | 0 % |
| Canada | Manitoba | Selkirk | 1 | 0 % |
| Japan | Gumma | Nakanojo | 1 | 0 % |
| United States | Hawaii | Kailua kona | 1 | 0 % |
| Belize | Belize | Belize city | 1 | 0 % |
| Great Britain | Greenwich | Eltham | 1 | 0 % |
| South Korea | Kyongsang-bukto | Sangju | 1 | 0 % |
| United States | Kansas | Wichita | 1 | 0 % |
| United States | Ohio | Powell | 1 | 0 % |
| Japan | Okinawa | Urasoe | 1 | 0 % |
| Great Britain | Essex | Benfleet | 1 | 0 % |
| United States | Minnesota | Silver lake | 1 | 0 % |
| Australia | South Australia | Golden grove | 1 | 0 % |
| United States | Florida | Opa locka | 1 | 0 % |
| United States | Florida | Fort lauderdale | 1 | 0 % |
| United States | Vermont | Brattleboro | 1 | 0 % |
| Japan | Yamaguchi | Hofu | 1 | 0 % |
| China | Shandong | Binzhou | 1 | 0 % |
| United States | Hawaii | Kula | 1 | 0 % |
| Canada | Ontario | Scarborough | 1 | 0 % |
| Japan | Chiba | Hoge | 1 | 0 % |
| United States | Utah | Springville | 1 | 0 % |
| United States | Idaho | Jerome | 1 | 0 % |
| United States | Washington | Issaquah | 1 | 0 % |
| Puerto Rico | | San juan | 1 | 0 % |
| Brazil | Rio Grande do Sul | Viamao | 1 | 0 % |
| India | Kerala | Kottayam | 1 | 0 % |
| Nepal | | Kathmandu | 1 | 0 % |
| United States | Georgia | Senoia | 1 | 0 % |
| United States | California | Goleta | 1 | 0 % |
| United States | Pennsylvania | Kingston | 1 | 0 % |
| United States | New Jersey | Williamstown | 1 | 0 % |
| Japan | Hokkaido | Miyagi | 1 | 0 % |
| Japan | Hokkaido | Ebetsu | 1 | 0 % |
| Thailand | Trang | Trang | 1 | 0 % |
| Republic of Serbia | | Valjevo | 1 | 0 % |
| United States | Nevada | Carson city | 1 | 0 % |
| United States | New York | Brentwood | 1 | 0 % |
| Thailand | Yala | Yala | 1 | 0 % |
| Japan | Kanagawa | Shibuya | 1 | 0 % |
| Cayman Islands | | George town | 1 | 0 % |
| United States | Virginia | Chester | 1 | 0 % |
| United States | California | Walnut | 1 | 0 % |
| United States | Connecticut | Berlin | 1 | 0 % |
| Republic of Serbia | | Mladenovac | 1 | 0 % |
| United States | Virginia | Alexandria | 1 | 0 % |
| United States | Minnesota | Winsted | 1 | 0 % |
| South Korea | Cholla-bukto | Namwon | 1 | 0 % |
| United States | North Carolina | Murfreesboro | 1 | 0 % |
| Great Britain | Kirklees | Huddersfield | 1 | 0 % |
| Mexico | Hidalgo | Guerrero | 1 | 0 % |
| United States | Ohio | North ridgeville | 1 | 0 % |
| Great Britain | Bromley | Orpington | 1 | 0 % |
| United States | North Carolina | Mount olive | 1 | 0 % |
| Brazil | Rio Grande do Sul | Montenegro | 1 | 0 % |
| Japan | Okayama | Takahashi | 1 | 0 % |
| Thailand | Trat | Khlong | 1 | 0 % |
| Japan | Iwate | Tono | 1 | 0 % |
| United States | North Carolina | New bern | 1 | 0 % |
| Japan | Osaka | Yao | 1 | 0 % |
| United States | Florida | Hobe sound | 1 | 0 % |
| Japan | Chiba | Tateyama | 1 | 0 % |
| Norway | Akershus | Gjettum | 1 | 0 % |
| United States | Wisconsin | Waterford | 1 | 0 % |
| Denmark | | Copenhagen | 1 | 0 % |
| United States | North Carolina | Boiling springs | 1 | 0 % |
| United States | Wisconsin | Jefferson | 1 | 0 % |
| Japan | Oita | Taketa | 1 | 0 % |
| Canada | Ontario | Cornwall | 1 | 0 % |
| Pakistan | Punjab | Lahore | 1 | 0 % |
| United States | Illinois | Marengo | 1 | 0 % |
| United States | California | Laguna beach | 1 | 0 % |
| United States | Wisconsin | Milwaukee | 1 | 0 % |
| United States | Texas | Sugar land | 1 | 0 % |
| Canada | Alberta | Red deer | 1 | 0 % |
| Canada | Ontario | Stirling | 1 | 0 % |
| Netherlands | Noord-Brabant | Helmond | 1 | 0 % |
| United States | Pennsylvania | Huntingdon valley | 1 | 0 % |
| China | Jiangsu | Suzhou | 1 | 0 % |
| Brazil | Alagoas | Dona | 1 | 0 % |
| India | Kerala | Malappuram | 1 | 0 % |
| United States | California | Pomona | 1 | 0 % |
| Philippines | Quezon City | Quezon city | 1 | 0 % |
| United States | North Carolina | Farmville | 1 | 0 % |
| Japan | Ehime | Imabari | 1 | 0 % |
| United States | California | Lake elsinore | 1 | 0 % |
| Brazil | Rio de Janeiro | Itaguai | 1 | 0 % |
| United States | New York | Medford | 1 | 0 % |
| United States | Virginia | Boydton | 1 | 0 % |
| Great Britain | Cheshire | Chester | 1 | 0 % |
| Japan | Okayama | Niimi | 1 | 0 % |
| India | Haryana | Gurgaon | 1 | 0 % |
| South Korea | Ch'ungch'ong-bukto | Chongju | 1 | 0 % |
| United States | California | Upland | 1 | 0 % |
| United States | California | Diamond bar | 1 | 0 % |
| Canada | Ontario | Innisfil | 1 | 0 % |
| United States | California | Burlingame | 1 | 0 % |
| United States | New York | Catskill | 1 | 0 % |
| Japan | Mie | Mie | 1 | 0 % |
| Republic of Serbia | | Grocka | 1 | 0 % |
| Thailand | Khon Kaen | Phu wiang | 1 | 0 % |
| United States | Maryland | White hall | 1 | 0 % |
| Great Britain | Lincolnshire | Boston | 1 | 0 % |
| Japan | Saitama | Koizumi | 1 | 0 % |
| Japan | Fukuoka | Kasuga | 1 | 0 % |
| Japan | Nagano | Matumoto | 1 | 0 % |
| United States | Washington | Auburn | 1 | 0 % |
| United States | Missouri | Perryville | 1 | 0 % |
| Japan | Aichi | Kasugai | 1 | 0 % |
| Japan | Osaka | Toyonaka | 1 | 0 % |
| United States | Pennsylvania | Easton | 1 | 0 % |
| United States | Texas | Forney | 1 | 0 % |
| United States | Utah | West jordan | 1 | 0 % |
| Japan | Aichi | Chiryu | 1 | 0 % |
| United States | Utah | Kamas | 1 | 0 % |
| United States | New Jersey | Trenton | 1 | 0 % |
| China | Nei Mongol | Baotou | 1 | 0 % |
| Thailand | | Udon thani | 1 | 0 % |
| United States | Georgia | Nahunta | 1 | 0 % |
| United States | Illinois | Park forest | 1 | 0 % |
| Great Britain | Essex | Colchester | 1 | 0 % |
| Japan | Hokkaido | Bihoro | 1 | 0 % |
| United States | California | Napa | 1 | 0 % |
| Brazil | Sao Paulo | Ituverava | 1 | 0 % |
| Brazil | Sao Paulo | Indaiatuba | 1 | 0 % |
| United States | Washington | Bremerton | 1 | 0 % |
| Italy | Lazio | Aprilia | 1 | 0 % |
| United States | Iowa | Oskaloosa | 1 | 0 % |
| South Korea | Kyongsang-bukto | Gumi | 1 | 0 % |
| Pakistan | Sindh | Karachi | 1 | 0 % |
| United States | Utah | Tremonton | 1 | 0 % |
| Thailand | Khon Kaen | Lat phrao | 1 | 0 % |
| South Korea | Ch'ungch'ong-namdo | Seosan | 1 | 0 % |
| Japan | Saitama | Gyoda | 1 | 0 % |
| United States | Texas | Dickinson | 1 | 0 % |
| Great Britain | Solihull | Solihull | 1 | 0 % |
| United States | New Mexico | Albuquerque | 1 | 0 % |
| India | Maharashtra | Mira road | 1 | 0 % |
| Nigeria | Lagos | Lagos | 1 | 0 % |
| United States | Wyoming | Cheyenne | 1 | 0 % |
| United States | New Jersey | Rutherford | 1 | 0 % |
| India | West Bengal | Howrah | 1 | 0 % |
| Japan | Hyogo | Takarazuka | 1 | 0 % |
| United States | California | Morro bay | 1 | 0 % |
| India | Andhra Pradesh | Kavali | 1 | 0 % |
| Japan | Gifu | Tajimi | 1 | 0 % |
| United States | Florida | Brandon | 1 | 0 % |
| Colombia | Distrito Especial | Bogota | 1 | 0 % |
| United States | Louisiana | Shreveport | 1 | 0 % |
| Thailand | Sukhothai | Sukhothai | 1 | 0 % |
| Great Britain | Surrey | Cranleigh | 1 | 0 % |
| Great Britain | Devon | Crediton | 1 | 0 % |
| Spain | Andalucia | Sevilla | 1 | 0 % |
| Brazil | Piaui | Parnaiba | 1 | 0 % |
| Brazil | Rio de Janeiro | Itaborai | 1 | 0 % |
| Japan | Tokyo | Edogawa | 1 | 0 % |
| Japan | Shizuoka | Numadu | 1 | 0 % |
| South Korea | Cholla-namdo | Boseong | 1 | 0 % |
| United States | New Jersey | Newark | 1 | 0 % |
| United Arab Emirates | Abu Zaby | Abu dhabi | 1 | 0 % |
| United States | Iowa | Waterloo | 1 | 0 % |
| Japan | Tokyo | Tachikawa | 1 | 0 % |
| India | Maharashtra | Nagpur | 1 | 0 % |
| Spain | Madrid | Madrid | 1 | 0 % |
| Japan | Gumma | Kuruwacho | 1 | 0 % |
| Great Britain | Stoke-on-Trent | Stoke-on-trent | 1 | 0 % |
| Russian Federation | Moskva | Balashikha | 1 | 0 % |
| South Korea | Seoul-t'ukpyolsi | Seongbuk-gu | 1 | 0 % |
| South Africa | Western Cape | Cape town | 1 | 0 % |
| Thailand | Ratchaburi | Bang tanot | 1 | 0 % |
| Thailand | Khon Kaen | Khan na yao | 1 | 0 % |
| Japan | Hiroshima | Hatsukaichi | 1 | 0 % |
| Japan | Kanagawa | Isehara | 1 | 0 % |
| Egypt | Al Minya | Minia | 1 | 0 % |
| United States | Kentucky | Owensboro | 1 | 0 % |
| Brazil | Amazonas | Manaquiri | 1 | 0 % |
| United States | New York | Apalachin | 1 | 0 % |
| United States | Louisiana | Columbia | 1 | 0 % |
| Mexico | Hidalgo | Tulancingo | 1 | 0 % |
| Argentina | Entre Rios | Federal | 1 | 0 % |
| Japan | Osaka | Takatsuki | 1 | 0 % |
| Japan | Fukuoka | Omuta | 1 | 0 % |
| Japan | Osaka | Kadoma | 1 | 0 % |
| India | Andhra Pradesh | Palakollu | 1 | 0 % |
| Thailand | Samut Songkhram | Ubon ratchathani | 1 | 0 % |
| United States | Virginia | Annandale | 1 | 0 % |
| Japan | Miyagi | Ishinomaki | 1 | 0 % |
| Republic of Serbia | | Brezane | 1 | 0 % |
| Japan | Tokyo | Fuchu | 1 | 0 % |
| Austria | Karnten | Klagenfurt | 1 | 0 % |
| Canada | Alberta | Spruce grove | 1 | 0 % |
| Finland | Southern Finland | Tuusula | 1 | 0 % |
| United States | Indiana | Jeffersonville | 1 | 0 % |
| Japan | Okinawa | Okinawa | 1 | 0 % |
| United States | Oregon | Odell | 1 | 0 % |
| South Korea | Kyonggi-do | Gwangju | 1 | 0 % |
| Japan | Yamaguchi | Iwakuni | 1 | 0 % |
| Canada | Ontario | Collingwood | 1 | 0 % |
| Thailand | Surat Thani | Surat thani | 1 | 0 % |
| United States | Illinois | Glendale heights | 1 | 0 % |
| United States | New York | Latham | 1 | 0 % |
| Philippines | Batangas | Lipa city | 1 | 0 % |
| Brazil | Parana | Curitiba | 1 | 0 % |
| Spain | Andalucia | Vícar | 1 | 0 % |
| Japan | Nagano | Shiojiri | 1 | 0 % |
| United States | California | San bruno | 1 | 0 % |
| Switzerland | Schaffhausen | Schaffhausen | 1 | 0 % |
| Canada | New Brunswick | Moncton | 1 | 0 % |
| Panama | Panama | Panama | 1 | 0 % |
| United States | New Jersey | Howell | 1 | 0 % |
| Thailand | Pathum Thani | Pathum thani | 1 | 0 % |
| United States | Montana | Whitefish | 1 | 0 % |
| United States | Hawaii | Kailua | 1 | 0 % |
| United States | Washington | Lynnwood | 1 | 0 % |
| Japan | Chiba | Midorigaoka | 1 | 0 % |
| Canada | Ontario | Napanee | 1 | 0 % |
| Thailand | Lampang | Lampang | 1 | 0 % |
| India | Delhi | New delhi | 1 | 0 % |
| Great Britain | | Saint austell | 1 | 0 % |
| United States | California | San pedro | 1 | 0 % |
| Malaysia | Johor | Johor bahru | 1 | 0 % |
| Canada | Ontario | Stratford | 1 | 0 % |
| United States | West Virginia | Orma | 1 | 0 % |
| Thailand | Samut Sakhon | Samut sakhon | 1 | 0 % |
| Philippines | Manila | Makati city | 1 | 0 % |
| South Korea | Kangwon-do | Gangwon-do | 1 | 0 % |
| Sweden | Varmlands Lan | Karlstad | 1 | 0 % |
| Austria | Wien | Vienna | 1 | 0 % |
| South Korea | Kyongsang-bukto | Uljin | 1 | 0 % |
| United States | California | Huntington park | 1 | 0 % |
| India | Andhra Pradesh | Vijayawada | 1 | 0 % |
| Brazil | Rio Grande do Sul | Guaiba | 1 | 0 % |
| United States | Pennsylvania | Folsom | 1 | 0 % |
| South Korea | Kyonggi-do | Bundang-gu | 1 | 0 % |
| Thailand | Rayong | Ban na | 1 | 0 % |
| United States | New Jersey | Lakewood | 1 | 0 % |
| Japan | Kanagawa | Zushi | 1 | 0 % |
| Thailand | Rayong | Ban chang | 1 | 0 % |
| Japan | Chiba | Kamogawa | 1 | 0 % |
| Japan | Tochigi | Ashikaga | 1 | 0 % |
| Great Britain | Redbridge | Ilford | 1 | 0 % |
| South Korea | Ch'ungch'ong-bukto | Goesan | 1 | 0 % |
| Japan | Ehime | Matuyama | 1 | 0 % |
| Puerto Rico | | Canovanas | 1 | 0 % |
| Japan | Fukui | Sabae | 1 | 0 % |
| Thailand | Chachoengsao | Chachoengsao | 1 | 0 % |
| United States | Wisconsin | Sheboygan | 1 | 0 % |
| Great Britain | Newcastle upon Tyne | Newcastle upon tyne | 1 | 0 % |
| United States | California | Menlo park | 1 | 0 % |
| Great Britain | Wolverhampton | Wolverhampton | 1 | 0 % |
| Canada | Ontario | Kingston | 1 | 0 % |
| Great Britain | Kent | Faversham | 1 | 0 % |
| United States | Minnesota | Bemidji | 1 | 0 % |
| United States | Connecticut | West hartford | 1 | 0 % |
| Japan | Gumma | Takasaki | 1 | 0 % |
| Japan | Aichi | Okazaki | 1 | 0 % |
| Great Britain | Doncaster | Doncaster | 1 | 0 % |
| United States | Missouri | Monett | 1 | 0 % |
| United States | California | Santa maria | 1 | 0 % |
| United States | New Jersey | Fair lawn | 1 | 0 % |
| United States | Washington | Langley | 1 | 0 % |
| Kazakhstan | Almaty City | Almaty | 1 | 0 % |
| United States | Tennessee | Columbia | 1 | 0 % |
| Japan | Ibaraki | Mito | 1 | 0 % |
| United States | Texas | Allen | 1 | 0 % |
| Japan | Kanagawa | Odawara | 1 | 0 % |
| United States | Massachusetts | Framingham | 1 | 0 % |
| Japan | Aichi | Tsushima | 1 | 0 % |
| United States | Virginia | Henry | 1 | 0 % |
| Canada | Ontario | Marathon | 1 | 0 % |
| United States | Oregon | Forest grove | 1 | 0 % |
| United States | Arizona | Tempe | 1 | 0 % |
| United States | Indiana | Rossville | 1 | 0 % |
| United States | California | Santa rosa | 1 | 0 % |
| United States | California | Whittier | 1 | 0 % |
| Japan | Shiga | Hikone | 1 | 0 % |
| Japan | Saitama | Kazo | 1 | 0 % |
| Brazil | Goias | Neropolis | 1 | 0 % |
| Netherlands | Noord-Brabant | Valkenswaard | 1 | 0 % |
| Argentina | Buenos Aires | La plata | 1 | 0 % |
| Japan | Kanagawa | Nihon'odori | 1 | 0 % |
| United States | Massachusetts | Natick | 1 | 0 % |
| Canada | Ontario | Niagara falls | 1 | 0 % |
| Great Britain | Durham | Bishop auckland | 1 | 0 % |
| Thailand | Pathum Thani | Lam luk ka | 1 | 0 % |
| Malaysia | Selangor | Seri kembangan | 1 | 0 % |
| United States | Florida | Winter garden | 1 | 0 % |
| Japan | Kagawa | Kanonji | 1 | 0 % |
| Japan | Ibaraki | Kanagawa | 1 | 0 % |
| United States | Minnesota | Eden prairie | 1 | 0 % |
| Canada | New Brunswick | Fredericton | 1 | 0 % |
| Japan | Ibaraki | Shirakawa | 1 | 0 % |
| United States | Colorado | Glenwood springs | 1 | 0 % |
| Great Britain | Bedfordshire | Biggleswade | 1 | 0 % |
| United States | Iowa | North liberty | 1 | 0 % |
| Oman | Masqat | Muscat | 1 | 0 % |
| United States | Texas | Katy | 1 | 0 % |
| South Korea | Ch'ungch'ong-bukto | Jecheon | 1 | 0 % |
| Russian Federation | Nizhegorod | Sosnovskoye | 1 | 0 % |
| Great Britain | Bradford | Shipley | 1 | 0 % |
| Bulgaria | Grad Sofiya | Sofia | 1 | 0 % |
| United States | Nebraska | Kearney | 1 | 0 % |
| United States | Missouri | Ballwin | 1 | 0 % |
| Canada | Ontario | Concord | 1 | 0 % |
| Netherlands | Utrecht | Veenendaal | 1 | 0 % |
| South Korea | Inch'on-jikhalsi | Inchon | 1 | 0 % |
| Thailand | Phitsanulok | Phitsanulok | 1 | 0 % |
| Japan | Ibaraki | Ushiku | 1 | 0 % |
| United States | Minnesota | Hopkins | 1 | 0 % |
| Brazil | Rio Grande do Sul | Santo antonio da patrulha | 1 | 0 % |
| South Korea | Ch'ungch'ong-namdo | Seogu | 1 | 0 % |
| Italy | Toscana | Florence | 1 | 0 % |
| United States | Hawaii | Honolulu | 1 | 0 % |
| Spain | Pais Vasco | Oñate | 1 | 0 % |
| Thailand | Phetchabun | Phetchabun | 1 | 0 % |
| Canada | Ontario | Port hope | 1 | 0 % |
| Great Britain | Northamptonshire | Wellingborough | 1 | 0 % |
| Japan | Mie | Owase | 1 | 0 % |
| United States | Idaho | Irwin | 1 | 0 % |
| United States | Texas | Cedar park | 1 | 0 % |
| Canada | Ontario | Orleans | 1 | 0 % |
| Brazil | Rio Grande do Sul | Ivoti | 1 | 0 % |
| India | Tamil Nadu | Nagercoil | 1 | 0 % |
| China | Jilin | Changchun | 1 | 0 % |
| United States | Florida | Tallahassee | 1 | 0 % |
| Canada | Ontario | Niagara-on-the-lake | 1 | 0 % |
| United States | California | Santa cruz | 1 | 0 % |
| Canada | Ontario | Kanata | 1 | 0 % |
| United States | Connecticut | New milford | 1 | 0 % |
| Japan | Mie | Nabari | 1 | 0 % |
| Japan | Chiba | Yotsukaido | 1 | 0 % |
| United States | Florida | Gainesville | 1 | 0 % |
| United States | California | Chula vista | 1 | 0 % |
| United States | Arizona | Prescott | 1 | 0 % |
| United States | Washington | North bend | 1 | 0 % |
| Japan | Yamaguchi | Shimonoseki | 1 | 0 % |
| Brazil | Rio de Janeiro | Natividade | 1 | 0 % |
| United States | California | Westminster | 1 | 0 % |
| United States | Delaware | Hockessin | 1 | 0 % |
| United States | Indiana | Waterloo | 1 | 0 % |
| Sweden | Stockholms Lan | Gustavsberg | 1 | 0 % |
| United States | Pennsylvania | Erie | 1 | 0 % |
| Japan | Kyoto | Uji | 1 | 0 % |
| United States | Massachusetts | Charlestown | 1 | 0 % |
| United States | New Jersey | Plainsboro | 1 | 0 % |
| France | Centre | Fresnes | 1 | 0 % |
| United States | Florida | Miami beach | 1 | 0 % |
| Brazil | Espirito Santo | Alegre | 1 | 0 % |
| United States | North Carolina | High point | 1 | 0 % |
| Canada | Ontario | Ajax | 1 | 0 % |
| United States | Michigan | Royal oak | 1 | 0 % |
| Great Britain | Leicester | Leicester | 1 | 0 % |
| Others/Unknown | 3522 | 32.9 % |
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