Things to do in Kodaira (JP)
Crowd levels and popular times for Kodaira : Follow the crowd or avoid the queues by visiting the most popular attractions during the quiet hours as indicated below.
Adjust the filters to find for example your desired busy,
quiet,
expensive, or
highly rated things to do.
Hagiyamashikinomori Park (Park)
3 Chome-２８-28 Hagiyamacho Higashimurayama, Tokyo 189-0012 JapanHagiyamashikinomori Park is most popular around 4 PM on Wednesdays. Visitors usually stay up to 45 min here. It's most quiet on Saturdays.
Indo-mura (Indian restaurant)
2 Chome-1914-1 Ogawachō Kodaira, Tokyo 187-0032 JapanIndian Asian kitchen bhawana (Indian restaurant)
43-10 Takanodai Kodaira, Tokyo 187-0024 JapanIndian Asian kitchen bhawana is most popular around 1 PM on Mondays. It's most quiet on Wednesdays.
Honda Library (Library)
国分寺市立本多図書館 1 Chome-7-1 Honda Kokubunji, Tokyo 185-0011 JapanHonda Library is most popular around 11 AM on Thursdays. Visitors usually stay up to 1,5 hours here. It's most quiet on Mondays.
For more info visit the website or checkout Google Maps.
Kitamachi Park (Park)
5 Chome-24-6 Kitamachi Kokubunji, Tokyo 185-0001 JapanKitamachi Park is most popular around 8 PM on Thursdays. It's most quiet on Wednesdays.
For more info visit the website or checkout Google Maps.
Megumi Kumegawa Honten (Japanese restaurant)
シーマビル ３B 1 Chome-３-66 第３ Sakaecho Higashimurayama, Tokyo 189-0013 JapanMegumi Kumegawa Honten is most popular around 7 PM on Sundays. It's most quiet on Tuesdays.
For more info visit the website or checkout Google Maps.
Special pages for Kodaira Japan
View on map
Map view and advanced filters
Heatmap for things to do in kodaira (jp)
Nearby cities and areas
Also checkout things to do in other cities and areas nearby Kodaira
Missing venues? This is a free, but limited tool. Use the BestTime software get more world wide foot traffic data in Kodaira, Japan. Filter points of interest (venues) on foot traffic levels, day, time, dwell time, location, ratings, etc. BestTime provides retail foot traffic and foot traffic analytics.