Best parks and nature in Suginami-ku (JP)

Unwind in Suginami-ku 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.

Inokashira Park (Park)
1 Chome-18-31 Gotenyama Musashino, Tokyo 180-0005 Japan
4.4

Inokashira Park is most popular around 2 PM on Saturdays. Visitors usually stay up to 3 hours here. It's most quiet on Tuesdays.

For more info visit the website or checkout Google Maps.

Nakano Shiki no Mori Park (Park)
4 Chome-13 Nakano Nakano City, Tokyo 164-0001 Japan
4.0

Nakano Shiki no Mori Park is most popular around 5 PM on Sundays. Visitors usually stay up to 1,5 hours here. It's most quiet on Tuesdays.

For more info visit the website or checkout Google Maps.

Hanegi Park (Park)
4 Chome-38-52 Daita Setagaya City, Tokyo 155-0033 Japan
4.2

Hanegi Park is most popular around 3 PM on Saturdays. It's most quiet on Tuesdays.

For more info visit the website or checkout Google Maps.

Zenpukuji Park (Park)
3 Chome-9-10 Zenpukuji Suginami City, Tokyo 167-0041 Japan
4.2

Zenpukuji Park is most popular around 2 PM on Saturdays. Visitors usually stay up to 1,5 hours here.

For more info visit the website or checkout Google Maps.

Wadabori Park (Park)
1 Chome-30-27 Naritanishi Suginami City, Tokyo 168-0061 Japan
4.1

Wadabori Park is most popular around 11 AM on Sundays. It's most quiet on Tuesdays.

For more info visit the website or checkout Google Maps.

Momoi Harappa Park (Park)
3 Chome-8-1 Momoi Suginami City, Tokyo 167-0034 Japan
4.1

Momoi Harappa Park is most popular around 4 PM on Sundays. Visitors usually stay up to 1,5 hours here. It's most quiet on Tuesdays.

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 Suginami-ku, 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.