Fun things to do on Sunday morning in Hualien (TW)

Best and most fun things to do in Hualien on Sunday morning: 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
(Chinese restaurant)
No. 46號, Ren'ai St, Hualien City
3.9

Gong Zheng Bun Store is most popular around 1 PM on Saturdays. Visitors usually stay 20 min here. It's most quiet on Wednesdays.

For more info visit the website or checkout Google Maps.

(Tourist destination)
No. 144號, Zhonghua Rd, Hualien City
4.1

Hualien Cultural and Creative Industries Park is most popular around 3 PM on Saturdays. Visitors usually stay up to 2 hours here. It's most quiet on Wednesdays.

For more info visit the website or checkout Google Maps.

(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

(Japanese restaurant)
4.7

石屋燒肉 is most popular around 7 PM on Saturdays. Visitors usually stay 2 hours here. It's most quiet on Tuesdays.

For more info visit the website or checkout 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.



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.