Things to do in Higashimurayama (JP)

Crowd levels and popular times for Higashimurayama : 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.

Fujimicho 1-chome 2nd Nakayoshi Square (Park)
1 Chome-12-16 Fujimicho Higashimurayama, Tokyo 189-0024 Japan
3.7

Fujimicho 1-chome 2nd Nakayoshi Square is most popular around 3 PM on Mondays. It's most quiet on Fridays.

Google Maps

Higashimurayama Shiritsu Akitsu Library (Library)
東村山市立秋津文化センター 2 Chome-17-10 Akitsucho Higashimurayama, Tokyo 189-0001 Japan
4.4

Higashimurayama Shiritsu Akitsu Library is most popular around 12 PM on Saturdays. It's most quiet on Fridays.

For more info visit the website or checkout 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.

Kodaira Shiritsu Ogawa Nishimachi Library (Library)
西部市民センター 4 Chome-10-13 Ogawa Nishimachi Kodaira, Tokyo 187-0035 Japan
3.9

Kodaira Shiritsu Ogawa Nishimachi Library is most popular around 10 AM on Saturdays. It's most quiet on Thursdays.

For more info visit the website or checkout Google Maps.

Misumi Park (Park)
2 Chome-6-16 Misumicho Higashimurayama, Tokyo 189-0023 Japan
3.3

It's most quiet on Tuesdays.

For more info visit the website or checkout Google Maps.

Kiyoharakita Park (Park)
1 Chome-1 Kiyohara Higashiyamato, Tokyo 207-0011 Japan
3.4

Kiyoharakita Park is most popular around 3 PM on Wednesdays. It's most quiet on Sundays.

Google Maps

Missing venues? This is a free, but limited tool. Use the BestTime software get more world wide foot traffic data in Higashimurayama, 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.