Things to do on Saturday afternoon in Gwacheon (KR)

Crowd levels and popular times for Gwacheon on Saturday 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.

Map
Gwacheon National Science Museum Insectarium (Museum)
110 Sanghabeol-ro
4.5

Gwacheon National Science Museum Insectarium is most popular around 2 PM on Sundays. Visitors usually stay up to 45 min here. It's most quiet on Tuesdays.

Google Maps

Theme Garden Grand Seoul Park (Botanical garden)
102 Daegongwongwangjang-ro, Munwon-dong
4.4

Theme Garden Grand Seoul Park is most popular around 2 PM on Saturdays. 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.

Jungang-gongwon (Park)
Byeoryang-dong Gwacheon-si, Gyeonggi-do South Korea
4.4

Jungang-gongwon is most popular around 3 PM on Sundays. Visitors usually stay up to 45 min here. It's most quiet on Tuesdays.

Google Maps

Vincero Gwacheon (Italian restaurant)
41-1 Jungang-dong
4.2

Vincero Gwacheon is most popular around 1 PM on Sundays. Visitors usually stay 1 hour here. It's most quiet on Wednesdays.

Google Maps

Starbucks Gwacheon (Coffee)
129 중앙로 Jungang-dong
3.9

Starbucks Gwacheon is most popular around 2 PM on Sundays. Visitors usually stay 15 min to 1 hr here. It's most quiet on Mondays.

For more info visit the website or checkout Google Maps.

양평해장국 (Asian restaurant)
South Korea, Gyeonggi-do, Gwacheon-si, Jungang-dong, 40-7
3.8

양평해장국 is most popular around 12 PM on Tuesdays. Visitors usually stay 45 min here. It's most quiet on Sundays.

Google Maps

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