Best parks and nature in Nakano (JP)

Unwind in Nakano 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.

Map
Koenji Central Park (Park)
4 Chome-31-7 Koenjiminami Suginami City, Tokyo 166-0003 Japan
3.6

Koenji Central Park is most popular around 2 PM on Sundays. Visitors usually stay up to 45 min here. It's most quiet on Fridays.

For more info visit the website or checkout Google Maps.

Shiinamachi Park (Park)
1 Chome-20-1 Minaminagasaki Toshima City, Tokyo 171-0052 Japan
3.7

Shiinamachi Park is most popular around 2 PM on Saturdays. Visitors usually stay up to 1 hour here. It's most quiet on Tuesdays.

For more info visit the website or checkout 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 Sundays. Visitors usually stay up to 2 hours here. It's most quiet on Mondays.

Google Maps

Nakamura Kashiwa Park (Park)
1 Chome-17-1 Nakamura Nerima City, Tokyo 176-0024 Japan
3.9

Nakamura Kashiwa Park is most popular around 2 PM on Sundays. Visitors usually stay up to 1 hour here. It's most quiet on Mondays.

Google Maps

A-san No Niwa (Park)
5 Chome-45-13 Asagayakita Suginami City, Tokyo 166-0001 Japan
3.8

A-san No Niwa is most popular around 3 PM on Sundays. Visitors usually stay up to 30 min here. It's most quiet on Fridays.

For more info visit the website or checkout Google Maps.

Seseragi park (Park)
1 Chome-1-1 Kamiochiai Shinjuku City, Tokyo 161-0034 Japan
3.8

Seseragi park is most popular around 12 PM on Saturdays. Visitors usually stay up to 1,5 hours here. It's most quiet on Wednesdays.

Google Maps

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