Best open shops & malls Taichung (TW) near you

Popular open shops and malls in Taichung Taiwan : Avoid busy hours by visiting shopping malls during the quiet days as indicated below.

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

AI
(Market)
Wenhua Rd, Xitun District
4.3

Fengchia Night Market is most popular around 8 PM on Saturdays. Visitors usually stay 30 min to 4 hr here. It's most quiet on Mondays.

For more info visit the website or checkout Google Maps.

(Shopping center)
No. 168號, Guo'an 1st Rd, Yong'an Village, Xitun District
4.3

Msquare is most popular around 6 PM on Saturdays. Visitors usually stay 1-2,5 hours here.

For more info visit the website or checkout Google Maps.

(Shopping)
403, Taiwan, Taichung City, West District, Gongmin Village, Wuquan Rd, 2-171號
4.8

ONE NINTH CAFE - 9分之1咖啡 is most popular around 9 PM on Wednesdays. Visitors usually stay 15 min to 2,5 hr here. It's most quiet on Mondays.

For more info visit the website or checkout Google Maps.

(Shopping)
406, Taiwan, Taichung City, Beitun District, Section 1, Changping Rd, 97-7號
3.2

正忠排骨飯 昌平店 is most popular around 6 PM on Mondays. It's most quiet on Fridays.

For more info visit the website or checkout Google Maps.

(Shopping)
No. 333號, Beishi E Rd, Shalu District
4.4

Louisa Coffee Beishi East is most popular around 5 PM on Fridays. Visitors usually stay 15 min to 2 hr here. It's most quiet on Tuesdays.

For more info visit the website or checkout Google Maps.

(Shopping)
No. 466河南路二段 Shang'an Village, Xitun District
4.2

POYA is most popular around 7 PM on Sundays. Visitors usually stay 20 min to 2,5 hr 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 Taichung, 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.