Best open shops & malls San Mateo (US) near you

Popular open shops and malls in San Mateo 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)
60 31st Ave San Mateo, CA 94403 United States
4.3

Hillsdale Shopping Center is most popular around 4 PM on Saturdays. Visitors usually stay 20 min to 2 hr here. It's most quiet on Thursdays.

For more info visit the website or checkout Google Maps.

(Apparel)
640 Concar Dr San Mateo, CA 94402 United States
4.0

Ross Dress for Less is most popular around 4 PM on Sundays. Visitors usually stay 20 min to 1 hr here. It's most quiet on Thursdays.

For more info visit the website or checkout Google Maps.

(Shopping)
2925 S El Camino Real San Mateo, CA 94403 United States
4.2

Michaels is most popular around 2 PM on Sundays. Visitors usually stay 25 min here. It's most quiet on Thursdays.

For more info visit the website or checkout Google Maps.

(Shopping center)
130 Hillsdale Shopping Center San Mateo, CA 94403 United States
4.3

Nordstrom is most popular around 3 PM on Saturdays. Visitors usually stay 10-45 min here. It's most quiet on Thursdays.

For more info visit the website or checkout Google Maps.

(Shopping center)
1850 S Grant St San Mateo, CA 94402 United States
4.0

T.J. Maxx is most popular around 3 PM on Sundays. Visitors usually stay 20 min to 1 hr here. It's most quiet on Thursdays.

For more info visit the website or checkout Google Maps.

(Shopping)
1948 S El Camino Real San Mateo, CA 94403 United States
4.1

Visitors usually stay up to 1.5 hours 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 San Mateo, 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.