Japan Cities with Latitude & Longitude – Download in Excel, CSV, SQL, JSON, XML
Last update : 23 March 2026.
Here you’ll find a curated sample of 100 key cities from Japan, each with essential data points such as latitude, longitude, administrative region, and other relevant attributes.
This preview is extracted from our full dataset, which includes a total of 31356 geographic locations across Japan.
Whether you’re working on mapping, analytics, or app development, the data is available for both personal and commercial use.
All entries can be downloaded in five formats: Excel (.xlsx), CSV, SQL, JSON, and XML.
Capital Highlight: The official capital city of Japan is Tokyo.
| Geoname_ID | City | Alternate_Name | Country_Code | Region | Sub_region | Latitude | Longitude | Elevation | Population | Timezone | Fcode_Name |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 1861142 | Iyogawa | Ishigawa,Iyogawa | JP | Tokushima | Miyoshi Shi | 33.95 | 133.75 | 0 | Asia/Tokyo | populated place | |
| 2112841 | Hagino | Hagino,qiu ye,萩野 | JP | Yamagata | Shinjō Shi | 38.81667 | 140.36667 | 0 | Asia/Tokyo | populated place | |
| 11027574 | Kamiochiai | Kamiochiai,kamiochiai,shang luo he,かみおちあい,カミオチアイ,上落合 | JP | Saitama | Saitama-shi | 35.89406 | 139.62524 | 0 | Asia/Tokyo | populated place | |
| 8601720 | Naze-nakagachi | Naze-nakagachi,ming lai zhong sheng,名瀬仲勝 | JP | Kagoshima | Amami Shi | 28.38944 | 129.52858 | 0 | Asia/Tokyo | populated place | |
| 1861446 | Iseji | Iseji,Naise,yi shi lu,伊勢路 | JP | Mie | Watarai-gun | 34.33333 | 136.63333 | 0 | Asia/Tokyo | populated place | |
| 8428558 | Sunakozawa | Sunakozawa,sha xiao ze,sunakozawa,すなこざわ,スナコザワ,砂小沢 | JP | Akita | Kazuno-gun | 40.368 | 140.74753 | 0 | Asia/Tokyo | populated place | |
| 8395487 | Mizuhami | Mizuhami,mizuhami,shui can,みずはみ,ミズハミ,水喰 | JP | Aomori | Kamikita-gun | 40.82862 | 141.27326 | 0 | Asia/Tokyo | populated place | |
| 1864827 | Banbachō | Babacho,Babachō,Bamba-cho,Bamba-chō,Banbacho,Banbachō,Sugiyamacho,Sugiyamachō,ma chang ding,馬場町 | JP | Ōsaka | Osaka-shi | 34.68213 | 135.52239 | 0 | Asia/Tokyo | populated place | |
| 11191662 | Gunchiku-jūbanchō | Gunchiku-jubancho,Gunchiku-jūbanchō,gunchikujuubanchou,jun zhu shi fan ding,ぐんちくじゅうばんちょう,グンチクジュウバンチョウ,郡築十番町 | JP | Kumamoto | Yatsushiro Shi | 32.5464 | 130.57828 | 0 | Asia/Tokyo | populated place | |
| 2111909 | Mirumaemachi | Higashi-mirumae,Mirumaemachi | JP | Iwate | Morioka-shi | 39.63333 | 141.18333 | 0 | Asia/Tokyo | populated place | |
| 8183953 | Ōgai | Ogai,da bei,oogai,Ōgai,おおがい,オオガイ,大貝 | JP | Miyagi | Miyagi Gun | 38.36505 | 141.02332 | 0 | Asia/Tokyo | populated place | |
| 11060714 | Namiki | Namiki,bing mu,namiki,なみき,ナミキ,並木 | JP | Kanagawa | Yokohama Shi | 35.36415 | 139.63919 | 0 | Asia/Tokyo | populated place | |
| 11029726 | Magamoto | Magamoto,magamoto,qu ben,まがもと,マガモト,曲本 | JP | Saitama | Saitama-shi | 35.83638 | 139.63634 | 0 | Asia/Tokyo | populated place | |
| 8506081 | Tominaga | Tominaga,fu yong,tominaga,とみなが,トミナガ,富永 | JP | Aomori | Aomori Shi | 40.82073 | 140.71783 | 0 | Asia/Tokyo | populated place | |
| 8527970 | Etsumori | Etsumori,etsumori,hui jin sen,えつもり,エツモリ,恵津森 | JP | Iwate | Kunohe-gun | 40.18453 | 141.41127 | 0 | Asia/Tokyo | populated place | |
| 2129639 | Kashiwagimachi | Kashiwagi,Kashiwagimachi,bai mu ding,kashiwagimachi,かしわぎまち,カシワギマチ,柏木町 | JP | Aomori | Hirakawa Shi | 40.58049 | 140.56911 | 0 | Asia/Tokyo | populated place | |
| 9819607 | Hosono | Hosono,xi ye,細野 | JP | Iwate | Hachimantai Shi | 40.03148 | 140.97196 | 0 | Asia/Tokyo | populated place | |
| 1848243 | Yorii | Yorii,ji ju,寄居 | JP | Saitama | Ōsato-gun | 36.11567 | 139.19429 | 32851 | Asia/Tokyo | populated place | |
| 1852667 | Seto | Seto | JP | Nagasaki | 32.93333 | 129.63333 | 0 | Asia/Tokyo | populated place | ||
| 9629445 | Kitashiodani | Kitashiodani,bei yan gu,北塩谷 | JP | Nara | Yoshino-gun | 34.34565 | 135.95505 | 0 | Asia/Tokyo | populated place | |
| 6822134 | Hamura | Hamura,Hamura-chhi,Hamura-chhī,Khamura,ha mu ra,hamula si,hamwra,hamwra twkyw,yu cun,yu cun shi,Хамура,Ҳамура,Համուրա,هامورا,هامورا، توکیو,ฮะมุระ,羽村,羽村市,하무라 시 | JP | Tokyo | Nishitama-gun | 35.79072 | 139.33889 | 0 | Asia/Tokyo | populated place | |
| 1852240 | Shimo-nii | JP | Nagano | Matsumoto Shi | 36.22475 | 137.92219 | 0 | Asia/Tokyo | populated place | ||
| 10317566 | Yokoshiro-minamimachi | Yokoshiro-minamimachi,heng dai nan ding,横代南町 | JP | Fukuoka | Kitakyushu-shi | 33.82772 | 130.89204 | 0 | Asia/Tokyo | populated place | |
| 1926078 | Nakatama | Nakadama,zhong yu,中玉 | JP | Ehime | Minamiuwa-gun | 32.92286 | 132.62339 | 0 | Asia/Tokyo | populated place | |
| 1860388 | Kami-wakago | Kami-wakogo,Kami-wakōgo,Wakogo | JP | Fukui | Ōno-shi | 35.89878 | 136.53002 | 0 | Asia/Tokyo | populated place | |
| 10467405 | Nakazato | Nakazato,zhong li,中里 | JP | Shizuoka | Fuji Shi | 35.16228 | 138.73391 | 0 | Asia/Tokyo | populated place | |
| 11404947 | Nakai | Nakai,nakai,zhong zhu,なかい,ナカイ,中猪 | JP | Kumamoto | Kuma-gun | 32.27594 | 131.00613 | 0 | Asia/Tokyo | populated place | |
| 9635308 | Hino | Hino,ri ye,日野 | JP | Kyoto | Kyōto-shi | 34.93601 | 135.81656 | 0 | Asia/Tokyo | populated place | |
| 8552692 | Origanai | Origanai,juke nei,origanai,おりがない,オリガナイ,居ヶ内 | JP | Aomori | Sannohe Gun | 40.37019 | 141.1404 | 0 | Asia/Tokyo | populated place | |
| 11072703 | Miyagi | JP | Okinawa | Urasoe Shi | 26.25372 | 127.69894 | 0 | Asia/Tokyo | populated place | ||
| 1854035 | Onnagawa | Onnagawa,nu chuan,女川 | JP | Akita | Oga-shi | 39.86667 | 139.81667 | 0 | Asia/Tokyo | populated place | |
| 8599793 | Kamitsushimachō-tomigaura | Kamitsushimacho-tomigaura,Kamitsushimachō-tomigaura,shang dui ma ding fu pu,上対馬町富浦 | JP | Nagasaki | Tsushima Shi | 34.63197 | 129.47927 | 0 | Asia/Tokyo | populated place | |
| 1852370 | Shimoakisato | Akisato,Shimo-akisato,Shimoakisato,xia qiu li,下秋里 | JP | Hyōgo | Sayō-gun | 34.96351 | 134.31867 | 0 | Asia/Tokyo | populated place | |
| 2112188 | Makinosaki | Kobuchi-hanto,Kobuchi-hantō,Magino-saki,Makino-saki,Makinosaki,makinosaki,muno qi,まきのさき,マキノサキ,牧ノ崎 | JP | Miyagi | Ishinomaki Shi | 38.31657 | 141.46249 | 0 | Asia/Tokyo | populated place | |
| 1852209 | Shimoōzuchō | Shimo-otsu,Shimo-ozu,Shimo-ōtsu,Shimo-ōzu,Shimoozucho,Shimoōzuchō,xia da jin ding,下大津町 | JP | Nagasaki | Gotō Shi | 32.68333 | 128.85 | 0 | Asia/Tokyo | populated place | |
| 11761168 | Minamirokujō | Minamirokujo,Minamirokujō,minamirokujou,nan liu tiao,みなみろくじょう,ミナミロクジョウ,南六条 | JP | Hokkaido | Shibetsu-gun | 43.6527 | 145.13218 | 0 | Asia/Tokyo | populated place | |
| 11114234 | Shakayatsu | Shakayatsu,shakayatsu,shi jia gu,しゃかやつ,シャカヤツ,釈迦谷 | JP | Chiba | Isumi Shi | 35.23368 | 140.37455 | 0 | Asia/Tokyo | populated place | |
| 9277775 | Noma-ōhara | Noma-ohara,Noma-ōhara,ye jian da yuan,野間大原 | JP | Ōsaka | Toyono Gun | 34.94593 | 135.46861 | 0 | Asia/Tokyo | populated place | |
| 8477067 | Tomioka | Tomioka,fu gang,tomioka,とみおか,トミオカ,富岡 | JP | Aomori | Tsugaru Shi | 40.79636 | 140.38041 | 0 | Asia/Tokyo | populated place | |
| 8662199 | Kawachimachi-nakanomi | Kawachimachi-nakanomi,he nei ding zhong zhi hai,河内町中直海 | JP | Ishikawa | Hakusan Shi | 36.38801 | 136.63735 | 0 | Asia/Tokyo | populated place | |
| 11473878 | Katamusari | Katamusari,katamusari,pian wu qu,かたむさり,カタムサリ,片無去 | JP | Hokkaido | Akkeshi-gun | 43.10761 | 144.70458 | 0 | Asia/Tokyo | populated place | |
| 1860706 | Kakizaki | JP | Niigata | Jōetsu Shi | 37.28333 | 138.4 | 0 | Asia/Tokyo | populated place | ||
| 11446620 | Wakamatsuchō | Wakamatsucho,Wakamatsuchō,ruo song ting,wakamatsuchou,わかまつちょう,ワカマツチョウ,若松町 | JP | Hokkaido | Kushiro Shi | 42.99333 | 144.38357 | 0 | Asia/Tokyo | populated place | |
| 1851331 | Tabaru | Kujuno,Tabaru | JP | Oita | Taketa-shi | 32.88333 | 131.31667 | 0 | Asia/Tokyo | populated place | |
| 8543120 | Izumi | Izumi,he quan,izumi,いずみ,イズミ,和泉 | JP | Aomori | Minamitsugaru Gun | 40.64694 | 140.52682 | 0 | Asia/Tokyo | populated place | |
| 8183792 | Mugita | Mugita,mai tian,mugita,むぎた,ムギタ,麦田 | JP | Miyagi | Miyagi Gun | 38.38945 | 141.04084 | 0 | Asia/Tokyo | populated place | |
| 2128233 | Setarai | Setarai,lai duo lai,setarai,せたらい,セタライ,瀬多来 | JP | Hokkaido | Tokachi-gun | 42.9597 | 143.58873 | 0 | Asia/Tokyo | populated place | |
| 9290083 | Kamiakotani | Kamiakotani,shang a gu gu,上阿古谷 | JP | Hyōgo | Kawanabe-gun | 34.93919 | 135.38182 | 0 | Asia/Tokyo | populated place | |
| 8315967 | Senshū-kitanomaru | Senshu-kitanomaru,Senshū-kitanomaru,qian qiu beino wan,senshuukitanomaru,せんしゅうきたのまる,センシュウキタノマル,千秋北の丸 | JP | Akita | Akita Shi | 39.72587 | 140.12523 | 0 | Asia/Tokyo | populated place | |
| 11171628 | Hamaogi | Hamaogi,bang di,hamaogi,はまおぎ,ハマオギ,浜荻 | JP | Chiba | Kamogawa-shi | 35.12277 | 140.14182 | 0 | Asia/Tokyo | populated place | |
| 8507073 | Tokuge | Tokuge,de xia,tokuge,とくげ,トクゲ,徳下 | JP | Aomori | Minamitsugaru Gun | 40.66865 | 140.55358 | 0 | Asia/Tokyo | populated place | |
| 11189185 | Takakura | gao cang,高倉 | JP | Saitama | Iruma-shi | 35.83744 | 139.38051 | 0 | Asia/Tokyo | populated place | |
| 9187722 | Hanageishimachi | Hanageishimachi,bi mao shi ding,鼻毛石町 | JP | Gunma | Maebashi Shi | 36.44141 | 139.17721 | 0 | Asia/Tokyo | populated place | |
| 9891861 | Miyazaki | Miyazaki,gong qi,宮崎 | JP | Fukuoka | Ōmuta Shi | 33.083 | 130.47649 | 0 | Asia/Tokyo | populated place | |
| 8476981 | Tanaka | Tanaka,tanaka,tian zhong,たなか,タナカ,田中 | JP | Aomori | Goshogawara Shi | 40.8089 | 140.485 | 0 | Asia/Tokyo | populated place | |
| 10413272 | Midorichō | Midoricho,Midorichō,lu ding,緑町 | JP | Kanagawa | Hadano-shi | 35.37619 | 139.21081 | 0 | Asia/Tokyo | populated place | |
| 10353111 | Takakura | Takakura,gao cang,高倉 | JP | Fukuoka | Iizuka Shi | 33.60722 | 130.76151 | 0 | Asia/Tokyo | populated place | |
| 9096479 | Asahioka | Asahioka,xu gang,旭岡 | JP | Hokkaido | Yūfutsu-gun | 42.6091 | 142.07252 | 0 | Asia/Tokyo | populated place | |
| 8572451 | Hasunuma | Hasunuma,hasunuma,lian zhao,はすぬま,ハスヌマ,蓮沼 | JP | Saitama | Saitama-shi | 35.92763 | 139.66387 | 0 | Asia/Tokyo | populated place | |
| 11079752 | Kushi | Kushi,jiu zhi,kushi,くし,クシ,久枝 | JP | Chiba | Minamibōsō Shi | 35.09616 | 139.84231 | 0 | Asia/Tokyo | populated place | |
| 10988905 | Matsunami | Matsunami,song bing,松並 | JP | Ibaraki | Moriya-shi | 35.96102 | 139.99436 | 0 | Asia/Tokyo | populated place | |
| 1858911 | Komatsu | Komatsu,xiao song,小松 | JP | Yamaguchi | Ōshima-gun | 33.93333 | 132.2 | 0 | Asia/Tokyo | populated place | |
| 10430192 | Midorigaoka | Midorigaoka,luke qiu,緑ヶ丘 | JP | Kanagawa | Atsugi Shi | 35.45267 | 139.3414 | 0 | Asia/Tokyo | populated place | |
| 1863598 | Gohyakkoku | Gohyakkoko,Gohyakkoku,wu bai shi,五百石 | JP | Toyama | Nakaniikawa Gun | 36.66411 | 137.31665 | 0 | Asia/Tokyo | populated place | |
| 10317604 | Tsuda-minamimachi | Tsuda-minamimachi,jin tian nan ding,津田南町 | JP | Fukuoka | Kitakyushu-shi | 33.82404 | 130.91658 | 0 | Asia/Tokyo | populated place | |
| 8506075 | Nishiōno | Nishiono,Nishiōno,nishioono,xi da ye,にしおおの,ニシオオノ,西大野 | JP | Aomori | Aomori Shi | 40.80154 | 140.72414 | 0 | Asia/Tokyo | populated place | |
| 8315659 | Sotoasahikawa-yatsuyanagi | Sotoasahikawa-yatsuyanagi,sotoasahikawayatsuyanagi,wai xu chuan ba liu,そとあさひかわやつやなぎ,ソトアサヒカワヤツヤナギ,外旭川八柳 | JP | Akita | Akita Shi | 39.74589 | 140.09811 | 0 | Asia/Tokyo | populated place | |
| 8182488 | Shimizusawa | Shimizusawa,qing shui ze,shimizusawa,しみずさわ,シミズサワ,清水沢 | JP | Miyagi | Higashimatshushima Shi | 38.44639 | 141.19191 | 0 | Asia/Tokyo | populated place | |
| 6417150 | Higai | JP | Ehime | Imabari-shi | 34.275 | 132.995 | 0 | Asia/Tokyo | populated place | ||
| 11334039 | Izumimachi | Izumimachi,izumimachi,quan ting,いずみまち,イズミマチ,泉町 | JP | Kumamoto | Yamaga Shi | 33.01617 | 130.68563 | 0 | Asia/Tokyo | populated place | |
| 8552718 | Takamatsu | Takamatsu,gao song,takamatsu,たかまつ,タカマツ,高松 | JP | Aomori | Sannohe Gun | 40.37065 | 141.17039 | 0 | Asia/Tokyo | populated place | |
| 11246016 | Amakusamachi-ōemukō | Amakusamachi-oemuko,Amakusamachi-ōemukō,amakusamachiooemukou,tian cao ding da jiang xiang,あまくさまちおおえむこう,アマクサマチオオエムコウ,天草町大江向 | JP | Kumamoto | Amakusa Shi | 32.26875 | 129.9868 | 0 | Asia/Tokyo | populated place | |
| 8663733 | Jabami | Jabami,she can,蛇喰 | JP | Toyama | Nanto Shi | 36.53516 | 136.93508 | 0 | Asia/Tokyo | populated place | |
| 1863134 | Harimochi | JP | Kagoshima | Isa Shi | 31.96667 | 130.58333 | 0 | Asia/Tokyo | populated place | ||
| 9633285 | Gakuen-naka | Gakuen-naka,xue yuan zhong,学園中 | JP | Nara | Nara-shi | 34.69613 | 135.74823 | 0 | Asia/Tokyo | populated place | |
| 8441454 | Ōsawanai | Osawanai,da ze nei,oosawanai,Ōsawanai,おおさわない,オオサワナイ,大沢内 | JP | Aomori | Kitatsugaru Gun | 40.93931 | 140.43904 | 0 | Asia/Tokyo | populated place | |
| 8438344 | Taishidō | Taishido,Taishidō,da shi tang,taishidou,たいしどう,タイシドウ,大師堂 | JP | Iwate | Hanamaki Shi | 39.42357 | 141.07726 | 0 | Asia/Tokyo | populated place | |
| 10419882 | Okazaki | Okazaki,gang qi,岡崎 | JP | Kanagawa | Hiratsuka Shi | 35.37497 | 139.30623 | 0 | Asia/Tokyo | populated place | |
| 8529111 | Yanagisawa | Yanagisawa,liu ze,yanagisawa,やなぎさわ,ヤナギサワ,柳沢 | JP | Iwate | Ninohe Shi | 40.30973 | 141.26913 | 0 | Asia/Tokyo | populated place | |
| 6417270 | Enoura | JP | Hiroshima | Onomichi-shi | 34.36333 | 133.19333 | 0 | Asia/Tokyo | populated place | ||
| 8563547 | Ippaimori | Ippaimori,ippaimori,yi bei sen,いっぱいもり,イッパイモリ,一盃森 | JP | Aomori | Hachinohe Shi | 40.50111 | 141.4727 | 0 | Asia/Tokyo | populated place | |
| 10266457 | Shin’yamazaki | Shin’yamazaki,Shin’yamazaki,xin shan qi,新山崎 | JP | Fukuoka | Kuraten-gun | 33.70906 | 130.70027 | 0 | Asia/Tokyo | populated place | |
| 8661317 | Mikunichō-jingaoka | Mikunicho-jingaoka,Mikunichō-jingaoka,san guo ding zhenke gang,三国町陣ヶ岡 | JP | Fukui | Sakai-shi | 36.2349 | 136.14186 | 0 | Asia/Tokyo | populated place | |
| 1848918 | Wakinomachi | Wakino,Wakinomachi,xie ye ding,脇野町 | JP | Niigata | Nagaoka Shi | 37.49958 | 138.78736 | 0 | Asia/Tokyo | populated place | |
| 8204907 | Sakanamachi | Sakanamachi,sakanamachi,yu ding,さかなまち,サカナマチ,魚町 | JP | Miyagi | Kesennuma Shi | 38.90717 | 141.57624 | 0 | Asia/Tokyo | populated place | |
| 8183281 | Takadera | Takadera,gao si,takadera,たかでら,タカデラ,高寺 | JP | Miyagi | Miyagi Gun | 38.415 | 141.07193 | 0 | Asia/Tokyo | populated place | |
| 1852268 | Shimo-kuranaga | JP | Miyazaki | Miyazaki-shi | 31.93333 | 131.35 | 0 | Asia/Tokyo | populated place | ||
| 1850808 | Takibe | JP | Yamaguchi | Shimonoseki Shi | 34.28333 | 130.95 | 0 | Asia/Tokyo | populated place | ||
| 1859896 | Kasuga | Kasuga,chun ri,春日 | JP | Nagano | Saku Shi | 36.21667 | 138.35 | 0 | Asia/Tokyo | populated place | |
| 9637709 | Hō’ōji | Ho’oji,Hō’ōji,feng huang si,鳳凰寺 | JP | Mie | Iga-shi | 34.76612 | 136.22552 | 0 | Asia/Tokyo | populated place | |
| 1907249 | Teradanawa | Teradanawa,si tian ying,寺田縄 | JP | Kanagawa | Hiratsuka Shi | 35.35932 | 139.31623 | 0 | Asia/Tokyo | populated place | |
| 9893765 | Takashimach-satomen | Takashimach-satomen,ying dao ding li mian,鷹島町里免 | JP | Nagasaki | Matsuura Shi | 33.44255 | 129.75345 | 0 | Asia/Tokyo | populated place | |
| 1852055 | Shinokawa | Shinokawa,xiao chuan,篠川 | JP | Kagoshima | Ōshima-gun | 28.22708 | 129.2947 | 0 | Asia/Tokyo | populated place | |
| 1849959 | Torisawa | Tomihama,Torisawa,Torizawa | JP | Yamanashi | Ōtsuki-shi | 35.6 | 139 | 0 | Asia/Tokyo | populated place | |
| 8463329 | Nakayama | Nakayama,nakayama,zhong shan,なかやま,ナカヤマ,中山 | JP | Aomori | Shimokita-gun | 41.5266 | 140.91633 | 0 | Asia/Tokyo | populated place | |
| 10905269 | Nekozane | Nekozane,mao shi,猫実 | JP | Chiba | Urayasu-shi | 35.66035 | 139.89919 | 0 | Asia/Tokyo | populated place | |
| 8742108 | Onadani | Onadani,nu gu,女谷 | JP | Niigata | Kashiwazaki Shi | 37.24778 | 138.54897 | 0 | Asia/Tokyo | populated place | |
| 11559476 | Nishikimachi | Nishikimachi,jin ting,nishikimachi,にしきまち,ニシキマチ,錦町 | JP | Hokkaido | Nakagawa-gun | 42.90585 | 143.35437 | 0 | Asia/Tokyo | populated place | |
| 1851567 | Sōtarō | Sotaro,Sōtarō | JP | Miyazaki | Nobeoka-shi | 32.76667 | 131.7 | 0 | Asia/Tokyo | populated place | |
| 11449163 | Akanchō-higashishitakara | Akancho-higashishitakara,Akanchō-higashishitakara,a han ting dong she xin,akanchouhigashishitakara,あかんちょうひがししたから,アカンチョウヒガシシタカラ,阿寒町東舌辛 | JP | Hokkaido | Kushiro Shi | 43.11367 | 144.15097 | 0 | Asia/Tokyo | populated place |
Exploring Japan Through Geographic Precision: Cities, Coordinates, and the Power of Structured Data
A Land of Layers and Lattices
Japan is not just a country; it is a matrix of mountains, megacities, islands, and intricate administrative subdivisions. To view it from the eyes of a geographer is to engage with a masterpiece in motion—where the historical footprint of Edo meets the neon skyline of Shibuya, and where the topology of nature converses endlessly with the structures of society.
But to truly understand Japan, we must descend from the sweeping views and approach its towns and cities with analytical clarity. Every municipality, from remote fishing villages in Hokkaido to industrial ports in Kyushu, holds a geographic identity deeply tied to its prefecture and region. This is why building a robust dataset of Japan's cities—categorized by region, department, and geographic coordinates—is essential for any data-driven exploration of the archipelago.
The Prefectural Framework: Japan’s Spatial Backbone
Japan’s 47 prefectures serve as more than administrative divisions; they are cultural and economic ecosystems. Cities like Kyoto, Fukuoka, and Sapporo don’t exist in isolation—they function within prefectural frameworks that shape everything from local governance to disaster preparedness.
In our dataset, every Japanese city is assigned to its corresponding prefecture and broader region (e.g., Kansai, Tōhoku), preserving this vital spatial structure. This alignment ensures that geographic studies, market segmentation, and infrastructure planning remain contextually sound and administratively accurate.
Latitudes and Longitudes: Locating the Essence of Place
Precision is sacred in geographic science. That’s why every city in our Japan dataset is tagged with its unique latitude and longitude. This enables a vast range of spatial analysis, whether for climate modeling, transportation logistics, or demographic heatmaps. These coordinates serve as a digital fingerprint for each place—allowing researchers and analysts to locate, map, and model cities across all layers of software and analytical frameworks.
The Rise of Excel: Democratizing Access to Geographic Intelligence
While our data is available in various formats, including CSV, JSON, SQL, and XML, the recent inclusion of **Excel (xlsx)** has revolutionized how this information is accessed and applied. Excel brings the data into the hands of city planners, academic researchers, entrepreneurs, and civil engineers without the barrier of technical expertise.
It allows users to slice and filter the dataset by prefecture, population center, or even regional classification. Built-in sorting functions and pivot tools make Excel ideal for exploratory analysis, visual mapping, and scenario planning. This isn’t just about accessibility—it’s about making high-quality geographic data truly usable by all.
Multi-Format Versatility for the Analytical Ecosystem
Though Excel is the highlight, our dataset is engineered for interoperability. Formats include:
* **CSV**, for quick import into virtually any tool
* **SQL**, for direct injection into relational databases
* **JSON**, ideal for modern web platforms and data APIs
* **XML**, ensuring structured data compatibility with legacy systems
This ensures that your workflow—whether spreadsheet-based or code-driven—remains uninterrupted and fully empowered by consistent, clean data.
Urban Complexity in a Nation of Contrast
From the megaregions of Kanto and Kansai to the serene cities of Shikoku, Japan’s urban spectrum reflects economic dynamism, cultural diversity, and environmental adaptation. But such complexity requires structure—something our dataset provides. With every city mapped to its rightful regional and departmental context, decision-making becomes clearer, smarter, and grounded in geographic reality.
Whether you're launching an app that maps public services, designing climate resilience plans, or studying migration trends across Japan’s shrinking rural cities, having structured access to location data is non-negotiable.
Conclusion: Mapping Japan Beyond the Map
To map Japan is not to trace outlines—it is to understand relationships. Between cities and regions. Between coordinates and culture. Between raw data and real-world insight.
Our comprehensive database, now enriched with the Excel format, offers the most practical way to explore these relationships. It is more than just a collection of city names—it is a geographic key to one of the most complex and captivating nations on Earth.
With it, Japan unfolds not just on the screen, but in the spreadsheet—ready to be analyzed, understood, and appreciated.
