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.

Map
Odaiba Marine Park (Park)
1 Chome-4 Daiba Minato City, Tokyo 135-0091 Japan
4.3

Odaiba Marine Park is most popular around 6 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.

Kinshi Park (Park)
4 Chome-15-1 Kinshi Sumida City, Tokyo 130-0013 Japan
3.9

Kinshi Park is most popular around 1 PM on Sundays. Visitors usually stay up to 2,5 hours here. It's most quiet on Thursdays.

For more info visit the website or checkout Google Maps.

Kiyosumi Gardens (Park)
3 Chome-3-9 Kiyosumi Koto City, Tokyo 135-0024 Japan
4.4

Kiyosumi Gardens is most popular around 2 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.

Kiba Park (Park)
4 Chome-6-1 Hirano Koto City, Tokyo 135-0023 Japan
4.1

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

子供向けのアスレチック広場やバーベキュー広場もある公園です。出店も多く出るイベントも数多く開催されています。

For more info visit the website or checkout Google Maps.

Sarue Park (Park)
2 Chome-13-7 Mori Koto City, Tokyo 135-0002 Japan
4.0

Sarue Park is most popular around 2 PM on Saturdays. It's most quiet on Mondays.

For more info visit the website or checkout Google Maps.

Hamachō Park (Park)
2 Chome-59-1 Nihonbashihamacho Chuo City, Tokyo 103-0007 Japan
3.8

Hamachō Park is most popular around 10 AM on Saturdays. It's most quiet on Mondays.

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.