Best open shops & malls Daegu (KR) near you

Popular open shops and malls in Daegu South Korea : 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)
Daegu Korea, Republic of
4.4

Cartier Shinsegae Department Store Daegu Branch is most popular around 3 PM on Sundays. Visitors usually stay up to 2,5 hours here. It's most quiet on Mondays.

For more info visit the website or checkout Google Maps.

(Shopping center)
South Korea 상인동 1-20번지 달서구 대구광역시 KR
4.2

The Hyundai Daegu is most popular around 4 PM on Saturdays. Visitors usually stay 30 min to 2 hr here. It's most quiet on Mondays.

For more info visit the website or checkout Google Maps.

(Shopping)
South Korea, Daegu
4.1

TRADERS WHOLE SALE CLUB Bisan is most popular around 3 PM on Sundays. Visitors usually stay up to 1,5 hours here. It's most quiet on Mondays.

For more info visit the website or checkout Google Maps.

(Market)
Daegu Korea, Republic of
4.1

Chilseong Market is most popular around 1 PM on Saturdays. Visitors usually stay 20 min here. It's most quiet on Sundays.

For more info visit the website or checkout Google Maps.

(Shopping center)
2085 Dalgubeol-daero Jung-gu, Daegu South Korea
4.1

Donga Department is most popular around 3 PM on Saturdays. Visitors usually stay 25 min to 1,5 hr here. It's most quiet on Mondays.

For more info visit the website or checkout Google Maps.

(Shopping center)
184-13 신암3동 Dong-gu, Daegu South Korea
4.1

Debec Plaza is most popular around 2 PM on Saturdays. Visitors usually stay 45 min to 2,5 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 Daegu, South Korea. 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.