Things to do in Sŏngnam (KR)

Crowd levels and popular times for Sŏngnam : 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.

Gyeongbokgung Palace Pangyo Branch (Asian restaurant)
South Korea, Gyeonggi-do, Seongnam-si, Bundang-gu
3.9

Gyeongbokgung Palace Pangyo Branch is most popular around 12 PM on Thursdays. Visitors usually stay 1,5-2,5 hours here. It's most quiet on Sundays.

For more info visit the website or checkout Google Maps.

황제삼계탕 (Chicken restaurant)
South Korea, Gyeonggi-do, Seongnam-si, Sujeong-gu, Tancheon-ro 339beon-gil, 8
4.1

황제삼계탕 is most popular around 12 PM on Wednesdays. Visitors usually stay 45 min here. It's most quiet on Mondays.

Google Maps

Mangang (Asian restaurant)
7-5 Jangmi-ro 92beon-gil
4.1

Mangang is most popular around 7 PM on Fridays. Visitors usually stay 1.5-3 hours here. It's most quiet on Sundays.

Google Maps

됐소 판교본점 (Asian restaurant)
South Korea, Gyeonggi-do, Seongnam-si, Bundang-gu, Sampyeong-dong, Daewangpangyo-ro, 670
3.7

됐소 판교본점 is most popular around 7 PM on Thursdays. Visitors usually stay 1-2,5 hours here. It's most quiet on Sundays.

Google Maps

Huimangdae Park (Tourist destination)
30 Gongwon-ro 370beon-gil
4.4

Huimangdae Park is most popular around 8 PM on Mondays. Visitors usually stay up to 1 hour here. It's most quiet on Fridays.

Google Maps

Eataly Pangyo (Italian restaurant)
146번길 20 Pangyoyeok-ro, Baekhyeon-dong
4.1

Eataly Pangyo is most popular around 12 PM on Fridays. Visitors usually stay 15-45 min 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 Sŏngnam, 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.