Best open shops & malls Kaohsiung (TW) near you
Popular open shops and malls in Kaohsiung 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.
(Shopping center)
No. 789號, Zhonghua 5th Rd, Cianjhen DistrictDream Mall/ Uni-president Dept. Store Kaohsiung is most popular around 6 PM on Saturdays. Visitors usually stay 1,5-4 hours here. It's most quiet on Mondays.
For more info visit the website or checkout Google Maps.
(Shopping center)
802, Taiwan, Kaohsiung City, Lingya District, Sanduo 4th Rd, 21號高雄大遠百 is most popular around 6 PM on Saturdays. Visitors usually stay 1-3,5 hours here. It's most quiet on Mondays.
For more info visit the website or checkout Google Maps.
(Shopping)
1樓MEGA PXMART Fengshan Store is most popular around 6 PM on Sundays. Visitors usually stay 25 min to 1,5 hr here. It's most quiet on Tuesdays.
For more info visit the website or checkout Google Maps.
(Shopping center)
No. 8號, Zhongqin Rd, Zhongchun Village, Cianjhen DistrictMLD is most popular around 7 PM on Saturdays. Visitors usually stay 1-4 hours here. It's most quiet on Tuesdays.
For more info visit the website or checkout Google Maps.
(Shopping center)
No. 217號, Sanduo 3rd Rd, Chengxing Village, Cianjhen DistrictFar Eastern Sogo Kaohsiung Store is most popular around 6 PM on Saturdays. Visitors usually stay 1-2,5 hours here. It's most quiet on Tuesdays.
For more info visit the website or checkout Google Maps.
(Shopping)
B1Mollie Used Books Kaohsiung Shop is most popular around 3 PM on Fridays. Visitors usually stay 25 min to 1,5 hr here. It's most quiet on Sundays.
For more info visit the website or checkout Google Maps.
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Missing venues? This is a free, but limited tool. Use the BestTime software get more world wide foot traffic data in Kaohsiung, 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.