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Douliu City, Default short-term rental listings & supply

Updated By The AirDNA Data Team

Douliu City, Default has 58 active short-term rental listings, tracked across Airbnb, Vrbo, and Booking.com.

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Total active listings
58
+3.6% YoY
Most popular size
1BR
75.9% of all active listings
AirDNA tracks daily performance across 10M+ Airbnb, Vrbo, and Booking.com listings in 120K+ global markets. How we collect this data →10M+ listings across Airbnb, Vrbo & Booking.com in 120K+ markets. How we collect →

Douliu City, Default short-term rental listings

Douliu City has 58 active short-term rental listings as of July 2026, tracked across Airbnb, Vrbo, and Booking.com. Active supply is up 3.6% from July 2025 to July 2026. Here's how the market breaks down:

  • By property type: 53.4% private rooms, 46.6% entire homes.
  • By size: 75.9% 1-bedroom, 8.6% 2-bedroom, 8.6% 3-bedroom, 5.2% 4-bedroom, and 1.7% 5+ bedroom.
  • By channel: 94.8% Airbnb-only, 5.2% cross-listed.
  • By availability: 62.1% full-time (271–365), 20.7% part-time (91–180 nights), 12.1% seasonal (1–90 nights), and 5.2% most of year (181–270).
  • By minimum stay: 100% 30+ nights.
  • By cancellation policy: 52.1% flexible, 41.7% moderate and 6.3% strict.
79
Rental demand score
Full Douliu City market overview How Market Score is calculated
Analyst's take

Douliu City's Rental Demand score: 79 out of 100.

Douliu City's Rental Demand subscore is 79 out of 100, one of five inputs to its overall Market Score of 90.

Rental Demand combines two inputs: annual occupancy (46% in Douliu City) and year-over-year listing growth (active supply up 3.6% from July 2025 to July 2026).

It is benchmarked against other short-term rental markets in the same country with at least 15 active listings.

The Market Score is a starting point, not an investment decision.

Market-level averages hide wide variation. Here's how to go deeper in the app:

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  3. 3Estimate one addressProject what one specific property can earn with a custom comp set built from its exact specs.
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Key definitions

How AirDNA defines these metrics

Active listings
Active listings are the short-term rentals on Airbnb, Vrbo, and Booking.com that were available or booked in the trailing 12 months. AirDNA de-duplicates the same home across channels, and the count refreshes monthly.How AirDNA counts active listings →
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Active listings over timeIllustrative preview

How Douliu City's active short-term rental supply has trended over the past year.

Oct '25Dec '25Feb '26Apr '26Jun '26Aug '26
See Douliu City's month-by-month supply trend in the AirDNA app.

Listing mix

Four ways to slice Douliu City's 58 listings

Property type

Private room leads at 53.4%

  • Entire home46.6%
  • Private room53.4%

Bedrooms

1BR leads at 75.9%

  • 1BR75.9%
  • 2BR8.6%
  • 3BR8.6%
  • 4BR5.2%
  • 5BR+1.7%

Channel

Airbnb only leads at 94.8%

  • Airbnb only94.8%
  • Multi-platform5.2%

Availability

Full-time (271–365) leads at 62.1%

  • Seasonal (1–90 nights)12.1%
  • Part-time (91–180 nights)20.7%
  • Most of year (181–270)5.2%
  • Full-time (271–365)62.1%

Listings by minimum stay

Share of Douliu City active supply by host-set minimum stay

30+ nights
100%

Listings by cancellation policy

Share of Douliu City active supply by host cancellation policy

Flexible
52.1%
Moderate
41.7%
Strict
6.3%

This is the tip of the iceberg

Go deeper on Douliu City supply in the app.

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Explore more Douliu City data

Keep digging into Douliu City

Douliu City market overview

The full Douliu City market: 58 listings, $5.1K average revenue, 46% occupancy, $74 ADR. Topline metrics and the AirDNA Market Score.

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Revenue

Annual earnings, revenue by property type, and daily rates by segment.

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Seasonality

Occupancy, RevPAR, peak and trough months, seasonality score.

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Property Managers

The largest property managers operating in Douliu City.

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Frequently asked

Common questions about Douliu City

Get more in the app

There's a lot more inside the AirDNA app.

  • Custom comp sets
  • Neighborhood data
  • Deep filters
  • Heat maps
  • For Sale by yield
  • Export the data
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