Best open shops & malls Virginia Beach (US) near you

Popular open shops and malls in Virginia Beach United States : 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
(Shopping center)
3312 Princess Anne Rd
4.5

Landstown Commons is most popular around 2 PM on Saturdays. Visitors usually stay 15 min to 1,5 hr here. It's most quiet on Mondays.

Google Maps

(Shopping center)
1157 Nimmo Pkwy Virginia Beach, VA 23456 United States
4.4

Red Mill Commons is most popular around 2 PM on Saturdays. Visitors usually stay 10 min to 1 hr here. It's most quiet on Thursdays.

For more info visit the website or checkout Google Maps.

(Apparel)
2137 Upton Dr #312 Virginia Beach, VA 23454 United States
4.7

Visitors usually stay up to 1 hour here.

Uptown Cheapskate University Park is not your typical resale store. We are locally owned, and we provide an arena for individuals to express themselves with brand-name fashions without paying mall prices. We buy new and gently used clothing and accessories from our customers in the community, offering cash on the spot or 25% more in-store credit. You'll find clothes from brands like Nike, Adidas, Vineyard Vines, Coach, Michael Kors, Anthropologie, J.

For more info visit the website or checkout Google Maps.

(Shopping center)
1149 Nimmo Pkwy Virginia Beach, VA 23456 United States
4.1

Visitors usually stay 10-45 min here.

For more info visit the website or checkout Google Maps.

(Shopping center)
2060 S Independence Blvd Virginia Beach, VA 23453 United States
4.1

Visitors usually stay 20 min here.

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 Virginia Beach, United States. 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.