Things to do in Imus (PH)

Crowd levels and popular times for Imus : Follow the crowd or avoid the queues by visiting the most popular attractions during the quiet hours as indicated below.

Adjust the filters to find for example your desired busy, quiet, expensive, or highly rated things to do.

Map
SM City Bacoor (Shopping center)
Brgy Gen. Emilio Aguinaldo Highway cor Tirona Hwy Bacoor, 4102 Cavite, Philippines
4.3

SM City Bacoor is most popular around 6 PM on Saturdays. It's most quiet on Thursdays.

email: customercare@smsupermalls.com

For more info visit the website or checkout Google Maps.

Robinsons Imus (Shopping center)
Gen Emilio Aguinaldo Hwy Imus 4103 Cavite Philippines
4.2

Robinsons Imus is most popular around 5 PM on Sundays. It's most quiet on Wednesdays.

Google Maps

SM Center Imus (Shopping center)
Bgy N.I.A. Rd Imus Cavite, Philippines
4.3

SM Center Imus is most popular around 6 PM on Sundays. Visitors usually stay 20 min to 1,5 hr here. It's most quiet on Tuesdays.

email: customercare@smsupermalls.com

For more info visit the website or checkout Google Maps.

Lumina Point Mall (Shopping center)
E. cor Nueno Ave Imus Cavite, Philippines
3.9

Visitors usually stay 10-45 min here.

Google Maps

NOMO - A Vista Lifestyle Center (Shopping center)
Molino Blvd Bacoor 4102 Cavite Philippines
4.5

NOMO - A Vista Lifestyle Center is most popular around 6 PM on Sundays. It's most quiet on Wednesdays.

Expect nothing common at NOMO!

For more info visit the website or checkout Google Maps.

Kainan sa Balsa (Seafood restaurant)
FW4J+64R Gen. Evangelista Street Bacoor Cavite, Philippines
4.3

Kainan sa Balsa is most popular around 1 PM on Sundays. 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 Imus, 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.