Best shopping malls Rangoon (MM)

Popular shopping days & hours in Rangoon Myanmar : Avoid the 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.

Kan Thar Yar Centre (Shopping center)
No.11, Coner Of Kan Yeik Thar Road & U Aung Myat Rd Yangon Myanmar (Burma)
4.1

Kan Thar Yar Centre is most popular around 3 PM on Fridays. Visitors usually stay 20 min to 2 hr here. It's most quiet on Saturdays.

Google Maps

ရေကျော်ဈေး (Market)
Q5HC+R8Q Yae Kyaw Rd Yangon Myanmar (Burma)
3.8

ရေကျော်ဈေး is most popular around 10 AM on Saturdays. Visitors usually stay 15 min to 1 hr here. It's most quiet on Sundays.

Google Maps

PRO 1 Global Home Center Myanmar (Hlaing Thar Yar) (Shopping center)
313 Sin Phyu Shin Rd Yangon Myanmar (Burma)
4.2

PRO 1 Global Home Center Myanmar (Hlaing Thar Yar) is most popular around 1 PM on Wednesdays. Visitors usually stay 15-45 min here. It's most quiet on Mondays.

For more info visit the website or checkout Google Maps.

Ocean Toe (Market)
35 Kyaik Waing Pagoda Rd Yangon Myanmar (Burma)
4.1

Ocean Toe is most popular around 5 PM on Wednesdays. It's most quiet on Saturdays.

Seafood distribution and minimart

For more info visit the website or checkout Google Maps.

Ocean Wonders (Shopping)
Anawmar Road Yangon Myanmar (Burma)
4.5

Ocean Wonders is most popular around 11 AM on Fridays. It's most quiet on Sundays.

For more info visit the website or checkout Google Maps.

​အောင်ချမ်းသာ (Shopping)
Q66W+WP8 Bogyoke Nay Win street, Thanlyin Tsp Yangon Myanmar (Burma)
3.7

​အောင်ချမ်းသာ is most popular around 10 AM on Sundays. Visitors usually stay 25 min here. It's most quiet on Saturdays.

Google Maps

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