Fun things to do in Kawasaki (JP)

Best and most fun things to do in Kawasaki : 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.

Hasunuma Onsen (Other)
6 Chome-16-11 Nishikamata Ota City, Tokyo 144-0051 Japan
4.2

Hasunuma Onsen is most popular around 5 PM on Saturdays. Visitors usually stay up to 1.5 hours here. It's most quiet on Wednesdays.

For more info visit the website or checkout Google Maps.

Tsukemen Kuriyama (Ramen restaurant)
1 Chome-17-29 Rokukakubashi Kanagawa Ward, Yokohama, Kanagawa 221-0802 Japan
4.2

Visitors usually stay up to 45 min here.

Google Maps

Equinia Yokohama (Shopping center)
1 Chome-1-8 Kitasaiwai Nishi Ward, Yokohama, Kanagawa 220-0004 Japan
3.6

Equinia Yokohama is most popular around 1 PM on Saturdays. Visitors usually stay up to 2.5 hours here. It's most quiet on Tuesdays.

For more info visit the website or checkout Google Maps.

urutora yokohamasouhonnten (Restaurant)
Sea Plaza横浜 2F 2 Chome-13-11 Tsuruyacho Kanagawa Ward, Yokohama, Kanagawa 221-0835 Japan
4.4



【肉屋直営】の新鮮やきとん/焼鳥 15種スパイスで深みの【シビ辛もつ麻辣火鍋】 8時間じっくり炊きスープとぷりぷりもつの【13年の伝統牛もつ鍋】

Google Maps

Dockyard Garden (Historical)
2 Chome-2-1 Minatomirai Nishi Ward, Yokohama, Kanagawa 220-0012 Japan
3.9

Dockyard Garden is most popular around 8 PM on Saturdays. It's most quiet on Mondays.

For more info visit the website or checkout Google Maps.

Toriman Honten (Japanese restaurant)
7 Chome-3-1 Nishikamata Ota City, Tokyo 144-0051 Japan
3.8

Toriman Honten is most popular around 8 PM on Fridays. Visitors usually stay up to 3 hours here. It's most quiet on Tuesdays.

Google Maps

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