Best parks and nature in Nerima (JP)

Unwind in Nerima Japan Nature: Seek solitude or socialize in top outdoor spaces

Adjust the filters to find for example your desired busy, quiet, expensive, or highly rated places in nature.

Akatsuka Park (Park)
3 Chome-1 Takashimadaira Itabashi City, Tokyo 175-0082 Japan
3.8

Akatsuka Park is most popular around 1 PM on Saturdays. Visitors usually stay up to 2,5 hours here. It's most quiet on Wednesdays.

For more info visit the website or checkout Google Maps.

Momoi Harappa Park (Park)
6 Chome-1-14 Nishioi Shinagawa City, Tokyo 140-0015 Japan
4.1

Momoi Harappa Park is most popular around 5 PM on Sundays. Visitors usually stay up to 1 hour here. It's most quiet on Tuesdays.

Google Maps

Musashi-Seki Park (Park)
3 Chome-45-1 Sekimachikita Nerima City, Tokyo 177-0051 Japan
4.0

Musashi-Seki Park is most popular around 2 PM on Sundays. Visitors usually stay up to 1 hour here. It's most quiet on Wednesdays.

For more info visit the website or checkout Google Maps.

Egotanomori Park (Park)
3 Chome-14-番 Egota Nakano City, Tokyo 165-0022 Japan
3.8

Egotanomori Park is most popular around 11 AM on Saturdays. 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.

Nakano City Araiyakushi Park (Park)
5 Chome-4 Arai Nakano City, Tokyo 165-0026 Japan
3.8

Nakano City Araiyakushi Park is most popular around 12 PM on Mondays. Visitors usually stay up to 1 hour here. It's most quiet on Sundays.

Google Maps

Shirasagi Seseragi Park (Park)
1 Chome-4 Shirasagi Nakano City, Tokyo 165-0035 Japan
3.7

Shirasagi Seseragi Park is most popular around 12 PM on Fridays. Visitors usually stay up to 1,5 hours here. It's most quiet on Tuesdays.

Google Maps

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