Fun things to do on Thursday afternoon in Petaling Jaya (MY)

Best and most fun things to do in Petaling Jaya on Thursday afternoon: 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.

AI
(Asian restaurant)
5, Jalan SS 21\/37
4.3

Village Park Restaurant is most popular around 11 AM 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.

(Other)
Lot A
4.0

Visitors usually stay 45 min to 2,5 hr here.

Sprawling, enduring complex of over 200 shops, plus casual eateries, cafes & a cinema.

Google Maps

(Shopping center)
Jalan SS 16\/1
4.0

NU Empire is most popular around 7 PM on Saturdays. Visitors usually stay 30 min to 3 hr here. It's most quiet on Mondays.

For more info visit the website or checkout Google Maps.

(Shopping center)
72A, Jln Profesor Diraja Ungku Aziz
3.9

Jaya One is most popular around 7 PM on Tuesdays. Visitors usually stay 30 min to 4 hr here. It's most quiet on Sundays.

For more info visit the website or checkout Google Maps.

(Restaurant)
No 1, Ground Floor, Jalan Penguasa U1\/53A, Glenmarie Temasya Square,
4.7

Mohd Chan Restaurant @ Glenmarie is most popular around 1 PM on Wednesdays. Visitors usually stay 30 min to 1,5 hr here. It's most quiet on Sundays.

For more info visit the website or checkout Google Maps.

(Indian restaurant)
29, Jalan 17\/45
4.0

Kanna Curry House Restaurant is most popular around 1 PM on Sundays. Visitors usually stay 45 min here. It's most quiet on Tuesdays.

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 Petaling Jaya, Malaysia. 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.