Best parks and nature in Kawasaki (JP)

Unwind in Kawasaki 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.

Rinko Park (Park)
1 Minatomirai Nishi Ward, Yokohama, Kanagawa 220-0012 Japan
4.2

Rinko Park is most popular around 7 PM on Mondays. Visitors usually stay up to 2 hours here.

For more info visit the website or checkout Google Maps.

Keihinjima Tsubasa Park (Park)
2 Chome-4-5 Keihinjima Ota City, Tokyo 143-0003 Japan
4.0

Keihinjima Tsubasa Park is most popular around 3 PM on Sundays. Visitors usually stay up to 1 hour here. It's most quiet on Wednesdays.

For more info visit the website or checkout Google Maps.

Grand Mall Park (Park)
3 Chome Minatomirai Nishi Ward, Yokohama, Kanagawa 220-0012 Japan
3.9

Grand Mall Park is most popular around 1 PM on Mondays. It's most quiet on Thursdays.

For more info visit the website or checkout Google Maps.

Higashi-Ogishima Higashi Park (Park)
58-1 Higashiogishima Kawasaki Ward, Kawasaki, Kanagawa 210-0869 Japan
3.9

Higashi-Ogishima Higashi Park is most popular around 2 PM on Mondays.

For more info visit the website or checkout Google Maps.

Akarenga Park (Park)
1 Chome Shinko Naka Ward, Yokohama, Kanagawa 231-0001 Japan
4.2

Akarenga Park is most popular around 3 PM on Sundays. Visitors usually stay up to 1 hour here. It's most quiet on Thursdays.

For more info visit the website or checkout Google Maps.

Higashi-Ogishima-nishi Park (Park)
94-1 Higashiogishima Kawasaki Ward, Kawasaki, Kanagawa 210-0869 Japan
3.6

Higashi-Ogishima-nishi Park is most popular around 10 PM on Saturdays. It's most quiet on Thursdays.

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 Kawasaki, 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.