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.

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Icho Inari Park (Park)
2 Chome-15-13 Shimoigusa Suginami City, Tokyo 167-0022 Japan
3.9

Icho Inari Park is most popular around 9 AM on Tuesdays. Visitors usually stay up to 1 hour here. It's most quiet on Wednesdays.

For more info visit the website or checkout Google Maps.

Narimune Park (Park)
5 Chome-15-12 Naritahigashi Suginami City, Tokyo 166-0015 Japan
3.7

Narimune Park is most popular around 4 PM on Sundays. Visitors usually stay up to 1 hour here. It's most quiet on Tuesdays.

For more info visit the website or checkout Google Maps.

Amanuma Jizomae Park (Park)
1 Chome-1-4 Amanuma Suginami City, Tokyo 167-0032 Japan
3.7

Amanuma Jizomae Park is most popular around 2 PM on Thursdays. It's most quiet on Wednesdays.

For more info visit the website or checkout Google Maps.

Amanuma Higashi Park (Park)
1 Chome-32-11 Amanuma Suginami City, Tokyo 167-0032 Japan
3.0

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

For more info visit the website or checkout Google Maps.

Suginami Kuritsu Wadasakuranosaka Park (Park)
1 Chome-54-28 Wada Suginami City, Tokyo 166-0012 Japan
3.8

Suginami Kuritsu Wadasakuranosaka Park is most popular around 1 PM on Thursdays. It's most quiet on Saturdays.

For more info visit the website or checkout Google Maps.

世田谷区立南烏山りんれい広場 (Park)
Japan 〒157-0062 Tokyo, Setagaya City, Minamikarasuyama, 4 Chome−21−2
3.4

世田谷区立南烏山りんれい広場 is most popular around 1 PM on Tuesdays. 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 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.