Open Airbnb datasets for Daegu, South Korea

Daegu, South Korea

DoorstepAnalytics

Daegu, South Korea

Bedrooms Neighbourhood Review score: 2.0 - 5.0

Listings

Listings Neighbourhoods Pricing Occupancy & Income Hosts Guest Feedback Data Access

There are 885 entire homes listed across Airbnb in Daegu and the surrounding area, with 67 private bedrooms and 66 serviced apartments. The average price for a two bedroom apartment in September 2026 is ₩136,359 per night.

The average price per night for an entire home in Daegu is ₩98,949 for 1 bedroom, ₩136,359 for 2 bedrooms, ₩179,798 for 3 bedrooms, ₩258,670 for 4 bedrooms, ₩353,315 for 5 bedrooms. By city zone, entire homes average East (₩116,058, 270 listings), Center (₩105,238, 216 listings), South (₩150,836, 203 listings), West (₩116,785, 133 listings), North (₩131,891, 63 listings). All prices are in KRW.

Listings and Average Price per Bedrooms

Amenities

Bed Types

Bed Types by Bedrooms

Guest Capacity

Cancellation Policy

Price per bedroom Low

High

The neighbourhood of Dong-gu has the most listings, with 111 on Airbnb and an average nightly price of ₩138,742 (₩69,371 per bedroom). The second most populated neighbourhood is Seongnae 1-dong with 95 listings, followed by Daemyeong 9(gu)-dong (23), Daebong 1(il)-dong (15) and Daemyeong 2(i)-dong (14). All prices are in KRW.

Distances to Points of Interest

Neighbourhood Details

Average Price per Bedrooms

Average Price per Max Guests

Average Price by Neighbourhood

for the 16 most expensive neighbourhoods

Average Price per Bedroom by Neighbourhood

for the 16 most expensive neighbourhoods per bedroom

Average Price by Metro Stop

for the 16 most expensive metro stops

Average Price per Bedroom by Review Score

Occupancy and income data available early 2027

Hosts with Most Listings

Business Hosts

Review Rating Distribution

Number of Reviews per Listing

Time Since Most Recent Review

Review Length

Average Location Score by Neighbourhood

for the 16 most common neighbourhoods

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Guest reviews and rating breakdown
Neighbourhood and location breakdowns

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