Fun things to do Kawasaki on Monday evening (JP)

Popular days & hours to visit attractions in Kawasaki Japan on Monday evening.

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

AI
(Other)
2 Chome Takashima
3.8

Yokohama Station is most popular around 7 PM on Thursdays. It's most quiet on Sundays.

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.

(Other)
2 Chome-1-1 Hiyoshi
3.7

Hiyoshi Tokyu Avenue is most popular around 6 PM on Fridays. Visitors usually stay up to 45 min here. It's most quiet on Tuesdays.

3-story department store at a train station with individually branded shops, a supermarket & a cafe.

For more info visit the website or checkout Google Maps.

(Other)
1 Chome-1-3 Kashimada
3.6

Shin-Kawasaki Square is most popular around 7 PM on Fridays. It's most quiet on Mondays.

Small shopping complex catering to commuters with a supermarket, eateries & a fitness center.

For more info visit the website or checkout Google Maps.

(Other)
2 Chome-19-19 Kitaterao
3.7

Life Tsurumi Store is most popular around 4 PM on Sundays. Visitors usually stay 25 min here. It's most quiet on Tuesdays.

For more info visit the website or checkout Google Maps.

(Other)
3F
3.5

ガスト 川崎駅前本町店 is most popular around 1 PM on Saturdays. Visitors usually stay up to 3 hours 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 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.