Best open shops & malls Shenzhen (CN) near you

Popular open shops and malls in Shenzhen China : 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.

We Go Mall (Shopping center)
16 Po Tai St
3.4

We Go Mall is most popular around 1 PM on Sundays. Visitors usually stay up to 1.5 hours here. It's most quiet on Mondays.

For more info visit the website or checkout Google Maps.

Lei Cheng Uk Shopping Centre (Shopping center)
Hong Kong Lei Cheng Uk, Fat Tseung St, 10號 香港長沙灣
3.1

Lei Cheng Uk Shopping Centre is most popular around 12 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.

Belair Gardens Shopping Arcade (Shopping center)
Belair Gardens Nelly Heights
3.2

Belair Gardens Shopping Arcade is most popular around 2 PM on Sundays. Visitors usually stay 15 min to 3 hr here. It's most quiet on Mondays.

Google Maps

Sun Kwai Hing Plaza (Shopping center)
166-174 Hing Fong Rd
3.2

Sun Kwai Hing Plaza is most popular around 1 PM on Thursdays. Visitors usually stay 30 min to 1 hr here. It's most quiet on Sundays.

Google Maps

Apollo Shopping Center (Shopping center)
164-170號 Castle Peak Rd Sham Shui Po Hong Kong
3.0

Apollo Shopping Center is most popular around 1 PM on Sundays. Visitors usually stay 15 min to 1,5 hr here. It's most quiet on Mondays.

Google Maps

COCO Park (Shopping center)
China Guangdong Province, Shenzhen, Futian District, 中心城 Fuhua Rd 3, 268号 邮政编码: 518020
4.2

COCO Park is most popular around 2 PM on Saturdays. It's most quiet on Wednesdays.

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 Shenzhen, China. 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.