Best open shops & malls Gwangju (KR) near you

Popular open shops and malls in Gwangju 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.

NC Wave Chungjang Branch (Shopping center)
163 Jungang-ro
4.1

NC Wave Chungjang Branch is most popular around 4 PM on Saturdays. Visitors usually stay 20 min to 2 hr here. It's most quiet on Mondays.

For more info visit the website or checkout Google Maps.

Lotte Department Store, Gwangju Branch (Shopping center)
268 Dongnip-ro
4.0

Lotte Department Store, Gwangju Branch is most popular around 3 PM on Saturdays. Visitors usually stay up to 2 hours here. It's most quiet on Mondays.

For more info visit the website or checkout Google Maps.

Malbau Market (Market)
190-1 우산동
4.2

Malbau Market is most popular around 1 PM 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.

KUMHO WORLD (Shopping center)
54 Gunbun 2-ro
4.0

KUMHO WORLD is most popular around 12 PM on Thursdays. Visitors usually stay 20 min to 1 hr here. It's most quiet on Mondays.

For more info visit the website or checkout Google Maps.

Daein Market (Market)
7-1 Jebong-ro 194beon-gil
3.9

Daein Market is most popular around 7 PM on Saturdays. Visitors usually stay 10 min to 1 hr here. It's most quiet on Sundays.

For more info visit the website or checkout Google Maps.

Sejung Outlet (Shopping center)
106 호
3.8

Sejung Outlet is most popular around 3 PM on Saturdays. Visitors usually stay 20 min to 1,5 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 Gwangju, 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.