Best parks and nature in Adachi (JP)

Unwind in Adachi 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.

Toneri Park (Park)
1 Chome-1 Tonerikoen Adachi City, Tokyo 121-0837 Japan
4.2

Toneri Park is most popular around 2 PM on Sundays. It's most quiet on Tuesdays.

For more info visit the website or checkout Google Maps.

Motofuchie Park (Park)
2 Chome-17-1 Hokima Adachi City, Tokyo 121-0064 Japan
4.1

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

For more info visit the website or checkout Google Maps.

Higashi-Ayase Park (Park)
3-4 Higashiayase Adachi City, Tokyo 120-0004 Japan
3.9

Higashi-Ayase Park is most popular around 6 PM on Saturdays. It's most quiet on Mondays.

For more info visit the website or checkout Google Maps.

Kamichiba Sunahara Park (Park)
1 Chome-27-1 Nishikameari Katsushika City, Tokyo 124-0002 Japan
4.2

Kamichiba Sunahara Park is most popular around 11 AM on Sundays. 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.

Kameari park (Park)
5 Chome-36-1 Kameari Katsushika City, Tokyo 125-0061 Japan
4.1

Kameari park is most popular around 6 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.

Shobunuma Park (Park)
2 Chome-4-1 Yanaka Adachi City, Tokyo 120-0006 Japan
4.0

Shobunuma Park is most popular around 11 AM on Saturdays. Visitors usually stay up to 1 hour here. 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 Adachi, 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.