Things to do in Daegu (KR)

Crowd levels and popular times for Daegu : 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
서구영어도서관 (Library)
South Korea, Daegu, Seo-gu, Pyeongni-ro 35-gil, 90-6
5.0

서구영어도서관 is most popular around 11 AM on Wednesdays. Visitors usually stay up to 1 hour here. It's most quiet on Sundays.

For more info visit the website or checkout Google Maps.

Gut Coffee (Coffee)
19-9 동성로
4.8

Gut Coffee is most popular around 12 PM on Wednesdays. It's most quiet on Sundays.

For more info visit the website or checkout Google Maps.

헬로외국포차(helloforeignpub) (Beer)
South Korea, Daegu, Jung-gu, 삼덕동 Dongseong-ro 4-gil, 20-9
4.8

헬로외국포차(helloforeignpub) is most popular around 11 PM on Saturdays. Visitors usually stay 1-2.5 hours here. It's most quiet on Mondays.

A place where foreigners and Koreans get together in a friendly environment. Very tasty food and the best cocktails served.

Google Maps

수성구립 범어도서관 (Library)
South Korea, Daegu, Suseong-gu, Dalgubeol-daero, 2451
4.7

수성구립 범어도서관 is most popular around 2 PM on Saturdays. 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.

Gususan Library (Library)
21 Daecheon-ro
4.6

Gususan Library is most popular around 2 PM on Saturdays. 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.

돌섬횟집 (Seafood restaurant)
South Korea, Daegu, Nam-gu, 대명3동 1897-12
4.6

돌섬횟집 is most popular around 6 PM on Saturdays. 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 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.