Best open shops & malls Pasay City (PH) near you

Popular open shops and malls in Pasay City Philippines : 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.

H&M (Apparel)
Pedro Gil cor Adriatico St Manila 1000, Philippines
4.7

H&M is most popular around 5 PM on Sundays. It's most quiet on Tuesdays.

For more info visit the website or checkout Google Maps.

Greenbelt 4 - Ayala Malls Greenbelt (Shopping center)
Makati Ave Makati 1209 Metro Manila Philippines
4.6

Greenbelt 4 - Ayala Malls Greenbelt is most popular around 6 PM on Saturdays. Visitors usually stay up to 3.5 hours here. It's most quiet on Mondays.

Google Maps

Robinsons Manila - Midtown (Shopping center)
HXFM+WR8 Grorund Floor Robinsons Place, Pedro Gill, Malate, Metro Manila Manila 1004, Philippines
4.6

Robinsons Manila - Midtown is most popular around 6 PM on Sundays. Visitors usually stay up to 1,5 hours here. It's most quiet on Tuesdays.

Google Maps

Hobbies of Asia (Shopping center)
District of Freedom#8573311~!#
3.8

Hobbies of Asia is most popular around 10 PM on Fridays. It's most quiet on Mondays.

Google Maps

University Mall (Shopping center)
2507 Taft Ave Malate, Manila 1004 Metro Manila Philippines
3.9

University Mall is most popular around 6 PM on Fridays. Visitors usually stay up to 4 hours here. It's most quiet on Sundays.

For more info visit the website or checkout Google Maps.

Glorietta 1 - Ayala Malls (Shopping center)
205 Hotel Dr Makati Metro Manila Philippines
4.6

Glorietta 1 - Ayala Malls is most popular around 7 PM on Fridays. Visitors usually stay up to 4 hours here. It's most quiet on Sundays.

Google Maps

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