Best parks and nature in Sumida (JP)

Unwind in Sumida 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.

Kinshibori Park (Park)
4 Chome-17-1 Kotobashi Sumida City, Tokyo 130-0022 Japan
3.2

Kinshibori Park is most popular around 1 PM on Tuesdays. Visitors usually stay up to 1,5 hours here. It's most quiet on Mondays.

For more info visit the website or checkout Google Maps.

Fukagawa Park (Park)
1 Chome-14 Tomioka Koto City, Tokyo 135-0047 Japan
3.7

Fukagawa Park is most popular around 12 PM on Sundays. Visitors usually stay up to 4 hours here. It's most quiet on Mondays.

For more info visit the website or checkout Google Maps.

Ryōgoku Park (Park)
4 Chome-25-3 Ryogoku Sumida City, Tokyo 130-0026 Japan
3.7

Ryōgoku Park is most popular around 9 AM on Wednesdays. Visitors usually stay up to 45 min here. It's most quiet on Saturdays.

For more info visit the website or checkout Google Maps.

Sendaiborigawa Park (Park)
6丁目-6-6先 Toyo Koto City, Tokyo 136-0076 Japan
3.9

Sendaiborigawa Park is most popular around 3 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.

Matsuba Park (Park)
1 Chome-12-6 Matsugaya Taito City, Tokyo 111-0036 Japan
3.7

Matsuba Park is most popular around 2 PM on Wednesdays. Visitors usually stay up to 30 min here. It's most quiet on Sundays.

For more info visit the website or checkout Google Maps.

Yoshiwara Park (Park)
4 Chome-40-6 Senzoku Taito City, Tokyo 111-0031 Japan
3.5

Yoshiwara Park is most popular around 2 PM on Wednesdays. Visitors usually stay up to 45 min here. It's most quiet on Thursdays.

Google Maps

Missing venues? This is a free, but limited tool. Use the BestTime software get more world wide foot traffic data in Sumida, 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.