Best parks and nature in Ōta-ku (JP)

Unwind in Ōta-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.

Shinagawa Ward Residents' Park (Park)
3 Chome-2-1 Katsushima 品川区 Shinagawa City, Tokyo 140-0012 Japan
4.1

Shinagawa Ward Residents' Park is most popular around 1 PM on Sundays. Visitors usually stay up to 3 hours here. It's most quiet on Tuesdays.

For more info visit the website or checkout Google Maps.

Oi Central Seaside Park Sports Forest (Park)
4 Chome-1-19 Yashio Shinagawa City, Tokyo 140-0003 Japan
3.8

Oi Central Seaside Park Sports Forest is most popular around 1 PM on Saturdays. Visitors usually stay up to 3 hours here. It's most quiet on Wednesdays.

For more info visit the website or checkout Google Maps.

Daishi Park (Park)
1 Daishikoen Kawasaki Ward, Kawasaki, Kanagawa 210-0815 Japan
4.0

Daishi Park is most popular around 1 PM on Sundays. Visitors usually stay up to 2 hours here. It's most quiet on Wednesdays.

For more info visit the website or checkout Google Maps.

Honmonji Park (Park)
1 Chome-11-1 Ikegami Ota City, Tokyo 146-0082 Japan
4.0

Honmonji Park is most popular around 9 AM on Saturdays. Visitors usually stay up to 1,5 hours here. It's most quiet on Wednesdays.

For more info visit the website or checkout Google Maps.

Ikegami Plum Garden (Park)
2 Chome-2-13 Ikegami Ota City, Tokyo 146-0082 Japan
4.1

Visitors usually stay up to 1 hour here.

For more info visit the website or checkout Google Maps.

Tokyo Port Wild Bird Park (Nature reserve)
3 Chome-1 Tokai Ota City, Tokyo 143-0001 Japan
4.0

Visitors usually stay up to 3 hours here.

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 Ōta-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.