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.

Nishikoigakubo Ryokuchi Park (Park)
3 Chome-35-3 Nishikoigakubo Kokubunji, Tokyo 185-0013 Japan
3.9

Nishikoigakubo Ryokuchi Park is most popular around 5 PM on Tuesdays. It's most quiet on Saturdays.

For more info visit the website or checkout Google Maps.

Sakaemachi Memorial Park (Park)
2 Chome-28-17 Sakaecho Kodaira, Tokyo 187-0034 Japan
3.6

Sakaemachi Memorial Park is most popular around 8 AM on Wednesdays. Visitors usually stay up to 1 hour here. It's most quiet on Tuesdays.

Google Maps

Kudonotsuji Park (Park)
2 Chome-3-4 Ogawahigashicho Kodaira, Tokyo 187-0031 Japan
3.6

Kudonotsuji Park is most popular around 6 AM on Thursdays. It's most quiet on Sundays.

For more info visit the website or checkout Google Maps.

Izuden Park (Park)
3 Chome-17-2 Hagiyamacho Higashimurayama, Tokyo 189-0012 Japan
3.3

Izuden Park is most popular around 12 PM on Saturdays. It's most quiet on Mondays.

For more info visit the website or checkout Google Maps.

Tokyokaidodanchi Central Park (Park)
3 Chome-1 Kiyohara Higashiyamato, Tokyo 207-0011 Japan
3.1

Tokyokaidodanchi Central Park is most popular around 3 PM on Saturdays. It's most quiet on Mondays.

Google Maps

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.

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.