Fun things to do in Urayasu (JP)

Best and most fun things to do in Urayasu : 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.

Akemi no Oka Park (Park)
3 Chome-1 Akemi Urayasu, Chiba 279-0014 Japan
4.0

Akemi no Oka Park is most popular around 10 AM on Fridays. It's most quiet on Wednesdays.

For more info visit the website or checkout Google Maps.

Urayasu City Central Library (Library)
1 Chome-2-1 Nekozane Urayasu, Chiba 279-0004 Japan
4.5

Urayasu City Central Library is most popular around 2 PM on Sundays. Visitors usually stay up to 1.5 hours here. It's most quiet on Fridays.

For more info visit the website or checkout Google Maps.

Kawachiyashuhan Shinurayasuten (Shopping)
1 Chome-21-38 Nekozane Urayasu, Chiba 279-0004 Japan
3.8

Kawachiyashuhan Shinurayasuten is most popular around 11 AM on Tuesdays. Visitors usually stay up to 20 min here. It's most quiet on Wednesdays.

For more info visit the website or checkout Google Maps.

おんどる (Asian restaurant)
Japan 〒279-0002 Chiba, Urayasu, Kitazakae, 3 Chome−1−18 レクス123
4.3

おんどる is most popular around 8 PM on Mondays. It's most quiet on Tuesdays.

For more info visit the website or checkout Google Maps.

あぁ、ハンバーグ (Restaurant)
Japan 〒279-0001 Chiba, Urayasu, Todaijima, 1 Chome−17−22 ベイグランデ 1F
3.8

Visitors usually stay 45 min here.

For more info visit the website or checkout Google Maps.

Imagawa Trim Park (Park)
3 Chome-12 Imagawa Urayasu, Chiba 279-0022 Japan
3.6

Imagawa Trim Park is most popular around 8 AM on Saturdays. It's most quiet on Mondays.

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 Urayasu, 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.