Fun things to do in Kodaira (JP)

Best and most fun things to do in 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.

Hagiyama Library (Library)
Hagiyama-cho 2 Chome-13-1 Higashimurayama, Tokyo 189-0012 Japan
3.8

Hagiyama Library is most popular around 11 AM on Thursdays. Visitors usually stay up to 1 hour here. It's most quiet on Wednesdays.

For more info visit the website or checkout Google Maps.

Kodaira Shiritsu Tsuda Library (Library)
3 Chome-11 Tsudamachi Kodaira, Tokyo 187-0025 Japan
3.3

Kodaira Shiritsu Tsuda Library is most popular around 2 PM on Saturdays. It's most quiet on Tuesdays.

For more info visit the website or checkout Google Maps.

Higashikurumeshiritsutakiyama Library (Library)
4 Chome-1-10 Takiyama Higashikurume, Tokyo 203-0033 Japan
4.4

Higashikurumeshiritsutakiyama Library is most popular around 1 PM on Wednesdays. Visitors usually stay up to 2 hours here. It's most quiet on Saturdays.

For more info visit the website or checkout Google Maps.

Suginoko Park (Park)
4 Chome-10-9 Hiyoshicho Kokubunji, Tokyo 185-0032 Japan
3.6

Suginoko Park is most popular around 4 PM on Thursdays. It's most quiet on Mondays.

Google Maps

Fujimi Library (Library)
都営東村山富士見第2アパート1 1 Chome-7-35 Fujimicho Higashimurayama, Tokyo 189-0024 Japan
3.7

Fujimi Library is most popular around 11 AM on Thursdays. It's most quiet on Tuesdays.

For more info visit the website or checkout Google Maps.

Nakajuku Park (Park)
3 Chome-4 Ogawa Nishimachi Kodaira, Tokyo 187-0035 Japan
3.3

Nakajuku Park is most popular around 11 PM on Tuesdays. It's most quiet on Saturdays.

Google Maps

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.