Best open shops & malls Ciudad Nezahualcóyotl (MX) near you

Popular open shops and malls in Ciudad Nezahualcóyotl Mexico : 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)
Av. Canal de Tezontle 1520
4.3

Plaza Oriente is most popular around 5 PM on Sundays. Visitors usually stay 25 min to 2 hr here. It's most quiet on Tuesdays.

For more info visit the website or checkout Google Maps.

(Shopping center)
Av. Gral. Lázaro Cárdenas 8
4.1

Plaza Neza is most popular around 5 PM on Sundays. Visitors usually stay 15 min to 1 hr here. It's most quiet on Tuesdays.

For more info visit the website or checkout Google Maps.

(Shopping center)
Gro MX Avenida Bordo de Xochiaca, Av. Ciudad Jdn. 3
4.3

Sanborns Ciudad Jardín Neza is most popular around 9 PM on Saturdays. Visitors usually stay 15 min to 3,5 hr here. It's most quiet on Tuesdays.

For more info visit the website or checkout Google Maps.

(Shopping center)
Calle 5 17
4.1

Sanborns is most popular around 6 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.

(Shopping center)
Ote. 237 339, entre Calle sur 16 y sur 20
4.0

Coppel Sur 16 is most popular around 3 PM on Sundays. Visitors usually stay 10-45 min here.

For more info visit the website or checkout Google Maps.

(Shopping center)
Texcoco Km 17.5, Carr. Federal México-Puebla s\/n
4.2

Sanborns Los Reyes is most popular around 1 PM on Saturdays. Visitors usually stay 15 min to 2 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 Ciudad Nezahualcóyotl, Mexico. 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.