Fun things to do in Cheongju (KR)

Best and most fun things to do in Cheongju : 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.

Bald Park (Park)
Yongam-dong Sangdang-gu, Cheongju-si, Chungcheongbuk-do South Korea
3.9

Bald Park is most popular around 6 PM on Fridays. Visitors usually stay up to 1 hour here. It's most quiet on Thursdays.

Google Maps

배티공원 (Park)
South Korea, Chungcheongbuk-do, Cheongju-si, Seowon-gu, Gaesin-dong, 3-16
4.3

배티공원 is most popular around 8 PM on Saturdays. Visitors usually stay up to 1 hour here. It's most quiet on Thursdays.

Google Maps

Former Cheongju Station Building Park (Park)
Sangdang-gu, Cheongju-si, Chungcheongbuk-do
4.3

Former Cheongju Station Building Park is most popular around 1 PM on Saturdays. Visitors usually stay up to 1.5 hours here. It's most quiet on Mondays.

Google Maps

대게마트 (Japanese restaurant)
South Korea, Chungcheongbuk-do, Cheongju-si, Heungdeok-gu, Mochung-dong, 520-34
3.6

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

Google Maps

파리바게뜨 사직캐슬점 (Bakery)
South Korea, Chungcheongbuk-do, Cheongju-si, Heungdeok-gu, 사직2동 929
3.9

파리바게뜨 사직캐슬점 is most popular around 11 AM on Saturdays. Visitors usually stay 10 min here. It's most quiet on Sundays.

For more info visit the website or checkout Google Maps.

설봉아구탕찜 (Restaurant)
South Korea, Chungcheongbuk-do, Cheongju-si, Sangdang-gu, Yongam-dong, 1632
3.7

설봉아구탕찜 is most popular around 7 PM on Tuesdays. Visitors usually stay 45 min to 2 hr here. It's most quiet on Mondays.

Google Maps

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