Fun things to do in Higashimurayama (JP)

Best and most fun things to do in 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.

サンガム (Indian restaurant)
婦人服マーブル 2 Chome-22-24 Sakaecho Higashimurayama, Tokyo 189-0013 Japan
4.3

サンガム is most popular around 7 PM on Sundays. Visitors usually stay 30 min to 1 hr here. It's most quiet on Tuesdays.

It's the athuntic Indian restaurant serving in Japan for more then 12 years

For more info visit the website or checkout Google Maps.

Tennomori Park (Park)
3 Chome-45 Honcho Higashimurayama, Tokyo 189-0014 Japan
3.6

Tennomori Park is most popular around 9 AM on Mondays. It's most quiet on Tuesdays.

For more info visit the website or checkout Google Maps.

Hagiyamashikinomori Park (Park)
3 Chome-28-28 Hagiyamacho Higashimurayama, Tokyo 189-0012 Japan
3.8

Hagiyamashikinomori Park is most popular around 4 PM on Wednesdays. Visitors usually stay up to 45 min here. It's most quiet on Saturdays.

Google Maps

Kumano Park (Park)
5 Chome-13-13 Kumegawacho Higashimurayama, Tokyo 189-0003 Japan
3.5

Kumano Park is most popular around 2 PM on Sundays. It's most quiet on Mondays.

Google Maps

東来聚 (Chinese restaurant)
Japan 〒189-0014 Tokyo, Higashimurayama, Honcho, 2 Chome−33−4
3.4

東来聚 is most popular around 12 PM on Fridays. It's most quiet on Tuesdays.

For more info visit the website or checkout 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.

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.