Fun things to do in Hualien (TW)

Best and most fun things to do in Hualien : 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
(Restaurant)
No. 216號, Chenggong St, Hualien City Hualien County, Taiwan 970
3.8

Miao Kou Black Tea is most popular around 8 AM on Sundays. Visitors usually stay 10-45 min here. It's most quiet on Thursdays.

Google Maps

(Shopping center)
No. 581號, Heping Rd, Hualien City Hualien County, Taiwan 970
4.1

Far Eastern Hualien Store is most popular around 6 PM on Sundays. Visitors usually stay 30 min to 2 hr here. It's most quiet on Mondays.

Google Maps

(Sushi restaurant)
970, Taiwan, Hualien County, Hualien City, Linsen Rd, 90號
3.4

賴桑壽司屋 is most popular around 6 PM on Saturdays. Visitors usually stay 1-2,5 hours here. It's most quiet on Fridays.

For more info visit the website or checkout Google Maps.

(Other)
No. 618 巷 1 號
4.3

Jia Curry Hualien Headquarter is most popular around 6 PM on Saturdays. Visitors usually stay 1-2,5 hours here. It's most quiet on Fridays.

For more info visit the website or checkout Google Maps.

(Chinese restaurant)
No. 67-2號, Zhongmei Rd, Hualien City
4.2

Chicken Soup Noodles is most popular around 12 PM on Saturdays. Visitors usually stay 25 min here. It's most quiet on Tuesdays.

For more info visit the website or checkout Google Maps.

(Seafood restaurant)
No. 125號, Minguo Rd, Hualien City Hualien County, Taiwan 970
3.9

Xin Xin Noodle House is most popular around 6 PM on Fridays. Visitors usually stay 30 min to 1,5 hr 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 Hualien, Taiwan. 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.