Best shopping malls Shenzhen (CN)
Popular shopping days & hours in Shenzhen China : Avoid the 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.
Wan Tau Tong Square (Better Place) (Shopping center)
10 Hiu Wan RdWan Tau Tong Square (Better Place) is most popular around 12 PM on Saturdays. Visitors usually stay 15 min to 1 hr here. It's most quiet on Mondays.
Heng On Commercial Centre (Shopping center)
1號 Hang Kam StHeng On Commercial Centre is most popular around 4 PM on Sundays. Visitors usually stay 20 min to 1 hr here. It's most quiet on Tuesdays.
For more info visit the website or checkout Google Maps.
Bellagio Mall (Shopping center)
33 Castle Peak Road-Sham TsengBellagio Mall is most popular around 6 PM on Sundays. Visitors usually stay 15 min to 1,5 hr here. It's most quiet on Fridays.
For more info visit the website or checkout Google Maps.
Fu Shin Street Wet Market (Market)
39號 Fu Shin StFu Shin Street Wet Market is most popular around 11 AM on Sundays. Visitors usually stay 25 min here. It's most quiet on Mondays.
Greenfield Garden Shopping Arcade (Shopping center)
Fung Shue Wo RdGreenfield Garden Shopping Arcade is most popular around 1 PM on Fridays. Visitors usually stay 30 min to 1,5 hr here. It's most quiet on Mondays.
Nina Mall 2 (Shopping center)
98號 Tai Ho RdNina Mall 2 is most popular around 2 PM on Sundays. It's most quiet on Thursdays.
For more info visit the website or checkout Google Maps.
Special pages for Shenzhen China
View on map
Map view and advanced filters
Heatmap for best shopping malls shenzhen (cn)
Nearby cities and areas
Also checkout shops in other cities and areas nearby Shenzhen
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.