Best shopping malls Chicago (US)

Popular shopping days & hours in Chicago United States : 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.

Map
Walmart Supercenter (Shopping center)
3320 S Cicero Ave
3.9

Walmart Supercenter is most popular around 3 PM on Sundays. Visitors usually stay 20 min to 1 hr here. It's most quiet on Wednesdays.

For more info visit the website or checkout Google Maps.

Harlem Irving Plaza (Shopping center)
4104 N Harlem Ave
4.3

Harlem Irving Plaza is most popular around 3 PM on Saturdays. Visitors usually stay 25 min to 1,5 hr here. It's most quiet on Tuesdays.

For more info visit the website or checkout Google Maps.

Walmart Supercenter (Shopping center)
4650 W North Ave
3.9

Walmart Supercenter is most popular around 2 PM on Saturdays. Visitors usually stay 30 min here.

For more info visit the website or checkout Google Maps.

Walmart Supercenter (Shopping center)
7050 S Cicero Ave
4.0

Walmart Supercenter is most popular around 3 PM on Sundays. Visitors usually stay 25 min to 1 hr here. It's most quiet on Thursdays.

For more info visit the website or checkout Google Maps.

Walmart Supercenter (Shopping center)
2500 W 95th St
3.9

Walmart Supercenter is most popular around 2 PM on Saturdays. Visitors usually stay 20 min to 1 hr here. It's most quiet on Wednesdays.

For more info visit the website or checkout Google Maps.

Ford City Mall (Shopping center)
7601 S Cicero Ave
3.8

Ford City Mall is most popular around 2 PM on Saturdays. Visitors usually stay 20 min to 1,5 hr here. 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 Chicago, 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.