Best things to do Ōta-ku (JP)

Popular days & hours to visit attractions in Ōta-ku Japan .

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

Katsu Kaishu Memorial Museum (Museum)
2 Chome-3-1 Minamisenzoku Ota City, Tokyo 145-0063 Japan
4.2

Katsu Kaishu Memorial Museum is most popular around 2 PM on Sundays. It's most quiet on Wednesdays.

For more info visit the website or checkout Google Maps.

Kugaharayu (Other)
山岸ビル 2 Chome-14-15 Kugahara Ota City, Tokyo 146-0085 Japan
4.1

Kugaharayu is most popular around 5 PM on Sundays. It's most quiet on Tuesdays.

For more info visit the website or checkout Google Maps.

Ota City Local History Museum (Museum)
5 Chome-11-13 Minamimagome Ota City, Tokyo 143-0025 Japan
4.0

Ota City Local History Museum is most popular around 11 AM on Sundays. It's most quiet on Saturdays.

For more info visit the website or checkout Google Maps.

Nishiōi Hiroba Park (Park)
1 Chome-4-10 Nishioi Shinagawa City, Tokyo 140-0015 Japan
3.7

Nishiōi Hiroba Park is most popular around 11 AM on Saturdays. 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.

Oi Central Seaside Park Nagisa Forest (Park)
4 Chome-2-1 Yashio 品川区 Shinagawa City, Tokyo 140-0003 Japan
4.0

Oi Central Seaside Park Nagisa Forest is most popular around 1 PM on Fridays. It's most quiet on Sundays.

For more info visit the website or checkout Google Maps.

Nakakamata Park (Park)
4 Chome-35-1 Kamata Ota City, Tokyo 144-0052 Japan
3.9

Nakakamata Park is most popular around 1 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.

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.