Best shops in New York City: popular times

Popular open shops and malls in New York City 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.

Popular times for shops in New York City

Based on weekly forecasts for 75 shops across New York City.

Typical peak Saturday at 2 PM
Quietest day Sunday
Typical visit 0 min to 0 min
AI
(Shopping)
19 Wilbur St
4.6

Flagship One, Inc. is most popular around 11 AM on Tuesdays. Visitors usually stay 4 hours here. It's most quiet on Mondays.

For more info visit the website or checkout Google Maps.

(Shopping)
1600 Broadway
4.4

M&M'S New York is most popular around 5 PM on Saturdays. Visitors usually stay 25 min here. It's most quiet on Mondays.

For more info visit the website or checkout Google Maps.

(Shopping center)
2034 Green Acres Rd E
4.2

Green Acres is most popular around 4 PM on Saturdays. Visitors usually stay 20 min to 1,5 hr here. It's most quiet on Mondays.

For more info visit the website or checkout Google Maps.

(Shopping center)
200 Baychester Ave
4.4

The Mall at Bay Plaza is most popular around 4 PM on Saturdays. Visitors usually stay 25 min to 2 hr here. It's most quiet on Mondays.

For more info visit the website or checkout Google Maps.

(Shopping center)
77 Green Acres Rd S
3.9

Walmart Supercenter is most popular around 2 PM on Saturdays. 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.

(Shopping)
767 5th Ave
4.4

Visitors usually stay 20 min to 1,5 hr here.

Apple retail store selling iPhones, iPads & more in sleekly designed spaces.

Google Maps

Missing venues? This is a free, but limited tool. Use the BestTime software get more world wide foot traffic data in New York City, 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.