Fun things to do in Ōta-ku (JP)

Best and most fun things to do in Ōta-ku : Follow the crowd or avoid the queues by visiting the most popular attractions during the quiet hours as indicated below.

Adjust the filters to find for example your desired busy, quiet, expensive, or highly rated things to do.

AI
(Park)
2 Chome-4-5 Keihinjima
4.0

Keihinjima Tsubasa Park is most popular around 3 PM on Sundays. Visitors usually stay up to 1,5 hours here. It's most quiet on Thursdays.

For more info visit the website or checkout Google Maps.

(Shopping)
ラゾーナ川崎プラザ 1F~4F
3.7

BIC CAMERA Lazona Kawasaki is most popular around 3 PM on Sundays. Visitors usually stay 10-45 min here. It's most quiet on Thursdays.

For more info visit the website or checkout Google Maps.

(Park)
3 Chome-2-1 Katsushima
4.1

Shinagawa Ward Residents' Park is most popular around 1 PM on Sundays. Visitors usually stay up to 3,5 hours here. It's most quiet on Tuesdays.

For more info visit the website or checkout Google Maps.

(Other)
7 Chome-3-3 Nishikamata
3.5

Don Quijote Kamata Ekimae is most popular around 9 PM on Fridays. Visitors usually stay up to 1 hour here. It's most quiet on Tuesdays.

Convenience store selling groceries, toys, footwear & other household items.

For more info visit the website or checkout Google Maps.

(Park)
4 Chome-1-19 Yashio
3.8

Oi Central Seaside Park Sports Forest is most popular around 1 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.

(Zoo)
1 Chome-2-1 Minamikase
4.2

Yumemigasaki Zoological Park is most popular around 1 PM on Sundays. Visitors usually stay 30 min to 2,5 hr here. 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 Ōta-ku, 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.