Best parks and nature in Taitō (JP)

Unwind in Taitō 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.

Ueno Park (Park)
Uenokoen Taito City, Tokyo 110-0007 Japan
4.3

Ueno Park is most popular around 1 PM on Sundays. Visitors usually stay up to 3 hours here. It's most quiet on Mondays.

For more info visit the website or checkout Google Maps.

Sumida Park (Park)
1 Chome Hanakawado Taito City, Tokyo 111-0033 Japan
4.2

Sumida Park is most popular around 2 PM on Saturdays. Visitors usually stay up to 2 hours here. It's most quiet on Mondays.

For more info visit the website or checkout Google Maps.

Kita-no-maru Park (National park)
1-1 Kitanomarukoen Chiyoda City, Tokyo 102-0091 Japan
4.2



For more info visit the website or checkout Google Maps.

Kyū-Iwasaki-tei Gardens (Park)
1 Chome-3-45 Ikenohata Taito City, Tokyo 110-0008 Japan
4.2

Kyū-Iwasaki-tei Gardens is most popular around 1 PM on Fridays. It's most quiet on Wednesdays.

【来園される皆様へ】旧岩崎邸庭園は建物および敷地全体が国の重要文化財に指定されています。この貴重な文化財を保存継承し、ご来園の皆さまに安心して気持ち良くお過ごしいただくため、利用の際のルールを設けております。 詳細はこちら:https://www.tokyo-park.or.jp/park/kyu-iwasaki-tei/news/2024/park_info_1.html

For more info visit the website or checkout Google Maps.

Yokoamicho Park (Park)
2 Chome-3-25 Yokoami Sumida City, Tokyo 130-0015 Japan
4.1

Yokoamicho Park is most popular around 1 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.

Okachimachi Panda Square (Park)
3 Chome-26 Ueno Taito City, Tokyo 110-0005 Japan
3.7

Okachimachi Panda Square is most popular around 2 PM on Saturdays. Visitors usually stay up to 2.5 hours here.

Google Maps

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