Things to do in Hualien (TW)

Crowd levels and popular times for 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.

食七街碳烤 (Restaurant)
970, Taiwan, Hualien County, Hualien City, Zhongshan Rd, 110號
4.0

食七街碳烤 is most popular around 6 PM on Mondays. Visitors usually stay 30 min here. It's most quiet on Fridays.

Google Maps

武記越南河粉 (Restaurant)
970, Taiwan, Hualien County, Hualien City, Xinyi St, 107號
4.1

武記越南河粉 is most popular around 6 PM on Sundays. Visitors usually stay 25 min here. It's most quiet on Mondays.

Google Maps

德安橋頭林家香酥雞 (Japanese restaurant)
970, Taiwan, Hualien County, Hualien City, 德安一街223巷1號
4.3

德安橋頭林家香酥雞 is most popular around 5 PM on Wednesdays. Visitors usually stay 15 min here. It's most quiet on Mondays.

For more info visit the website or checkout Google Maps.

花間水舞茶饌 (Restaurant)
970, Taiwan, Hualien County, Hualien City, Sanmin St, 10號
3.8

花間水舞茶饌 is most popular around 1 PM on Sundays. Visitors usually stay 1-2 hours here. It's most quiet on Mondays.

For more info visit the website or checkout Google Maps.

滷大夫(新城爌肉飯) (Chinese restaurant)
970, Taiwan, Hualien County, Hualien City, Heping Rd, 560號
4.3

滷大夫(新城爌肉飯) is most popular around 12 PM on Tuesdays. Visitors usually stay 15 min here. It's most quiet on Thursdays.

For more info visit the website or checkout Google Maps.

199 Living World Department Store (Shopping center)
No. 507-2號, Zhongshan Rd, Hualien City
4.1

199 Living World Department Store is most popular around 7 PM on Saturdays. Visitors usually stay 15 min here. It's most quiet on Wednesdays.

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.