Best parks and nature in Kōtō-ku (JP)

Unwind in Kōtō-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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Shinsuna Megumi Park (Park)
3 Chome-4-1 Shinsuna Koto City, Tokyo 136-0075 Japan
3.5

Shinsuna Megumi Park is most popular around 12 AM on Tuesdays. Visitors usually stay up to 45 min here. It's most quiet on Fridays.

For more info visit the website or checkout Google Maps.

Morishita Park (Park)
2 Chome-5-16 Morishita Koto City, Tokyo 135-0004 Japan
3.7

Morishita Park is most popular around 11 AM on Sundays. Visitors usually stay up to 1 hour here. It's most quiet on Fridays.

For more info visit the website or checkout Google Maps.

Taito Kuritsu Seika Park (Park)
4 Chome-15-9 Kuramae Taito City, Tokyo 111-0051 Japan
3.8

Taito Kuritsu Seika Park is most popular around 10 AM on Sundays. Visitors usually stay up to 1 hour here. It's most quiet on Mondays.

Google Maps

Higashisuna Sanchome Park (Park)
3 Chome-16-8 Higashisuna Koto City, Tokyo 136-0074 Japan
3.2

Higashisuna Sanchome Park is most popular around 3 PM on Saturdays. It's most quiet on Thursdays.

For more info visit the website or checkout Google Maps.

Ayame Daini Park (Park)
13-1 Nihonbashinakasu Chuo City, Tokyo 103-0008 Japan
3.4

Ayame Daini Park is most popular around 10 AM on Saturdays. It's most quiet on Tuesdays.

For more info visit the website or checkout Google Maps.

Harumi Rinkai Park (Park)
2 Chome-4-27 Harumi Chuo City, Tokyo 104-0053 Japan
4.0

Harumi Rinkai 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 Kōtō-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.