Fun things to do in Shenzhen (CN)

Best and most fun things to do in Shenzhen : 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.

Red Seasons Restaurant (Chinese restaurant)
1號 Lam Tei Main St
3.4

Red Seasons Restaurant is most popular around 12 PM on Sundays. It's most quiet on Fridays.

For more info visit the website or checkout Google Maps.

Nina Mall (Shopping center)
No.8 Yeung Uk Rd Tsuen Wan Hong Kong
3.7

Nina Mall is most popular around 3 PM on Sundays. Visitors usually stay 20 min to 1,5 hr here.

For more info visit the website or checkout Google Maps.

Victoria Harbour Supreme (Tai Po) (Chinese restaurant)
Tai Po
3.5

Victoria Harbour Supreme (Tai Po) is most popular around 5 PM on Sundays. Visitors usually stay 20 min to 1 hr here. It's most quiet on Mondays.

Google Maps

Anna Restaurant (Restaurant)
號地下 5 Yan Lok Square Yuen Long Hong Kong
3.8

Anna Restaurant is most popular around 7 PM on Sundays. Visitors usually stay 45 min here. It's most quiet on Tuesdays.

For more info visit the website or checkout Google Maps.

Kwong Fuk Commercial Centre (Shopping center)
28號 Plover Cove Rd
3.1

Kwong Fuk Commercial Centre is most popular around 11 AM on Saturdays. Visitors usually stay 15 min to 1,5 hr here. It's most quiet on Tuesdays.

For more info visit the website or checkout Google Maps.

Mei Lam Commercial Centre (Shopping center)
30 Mei Tin Rd
3.3

Mei Lam Commercial Centre is most popular around 1 PM on Sundays. Visitors usually stay 25 min to 1,5 hr here. It's most quiet on Mondays.

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.