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.

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

Hamachō Park is most popular around 12 PM on Sundays. It's most quiet on Mondays.

For more info visit the website or checkout Google Maps.

Kiyosumi Park (Park)
2 Chome-2 Kiyosumi Koto City, Tokyo 135-0024 Japan
4.2

Kiyosumi Park is most popular around 5 PM on Sundays. Visitors usually stay up to 45 min here. It's most quiet on Mondays.

For more info visit the website or checkout Google Maps.

Matsuchiyamashoten Park (Park)
7 Chome-4-9 Asakusa Taito City, Tokyo 111-0032 Japan
4.3

Matsuchiyamashoten Park is most popular around 5 PM on Fridays. It's most quiet on Thursdays.

For more info visit the website or checkout Google Maps.

Honjo Matsuzakacho Park (Park)
3 Chome-13-9 Ryogoku Sumida City, Tokyo 130-0026 Japan
3.7

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

For more info visit the website or checkout Google Maps.

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

Kinshibori Park is most popular around 5 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.

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

Sendaibori River Park is most popular around 2 PM 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 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.