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Puerto Quito, Default short-term rental listings & supply

Updated By The AirDNA Data Team

Puerto Quito, Default has 44 active short-term rental listings, tracked across Airbnb, Vrbo, and Booking.com.

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Total active listings
44
-24.1% YoY
Most popular size
3BR
31.9% 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 →

Puerto Quito, Default short-term rental listings

Puerto Quito has 44 active short-term rental listings as of August 2026, tracked across Airbnb, Vrbo, and Booking.com. Active supply is down 24.1% from August 2025 to August 2026. Here's how the market breaks down:

  • By property type: 85.5% entire homes, 13% private rooms and 1.4% shared rooms.
  • By size: 31.9% 3-bedroom, 24.6% 2-bedroom, 17.4% 1-bedroom, 17.4% 4-bedroom, and 8.7% 5+ bedroom.
  • By channel: 96.9% Airbnb-only, 3.1% cross-listed.
  • By availability: 73.9% full-time (271–365), 10.1% most of year (181–270), 8.7% part-time (91–180 nights), and 7.2% seasonal (1–90 nights).
  • By minimum stay: 89.9% 30+ nights, 10.1% 2 nights.
  • By cancellation policy: 52.6% flexible, 47.4% moderate.
55
Rental demand score
Full Puerto Quito market overview How Market Score is calculated
Analyst's take

Puerto Quito's Rental Demand score: 55 out of 100.

Puerto Quito's Rental Demand subscore is 55 out of 100, one of five inputs to its overall Market Score of 53.

Rental Demand combines two inputs: annual occupancy (18% in Puerto Quito) and year-over-year listing growth (active supply down 24.1% from August 2025 to August 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 Puerto Quito's active short-term rental supply has trended over the past year.

May '26Jul '26Aug '26Sep '26Sep '26Sep '26
See Puerto Quito's month-by-month supply trend in the AirDNA app.

Listing mix

Four ways to slice Puerto Quito's 44 listings

Property type

Entire home leads at 85.5%

  • Entire home85.5%
  • Private room13%
  • Shared room1.4%

Bedrooms

3BR leads at 31.9%

  • 1BR17.4%
  • 2BR24.6%
  • 3BR31.9%
  • 4BR17.4%
  • 5BR+8.7%

Channel

Airbnb only leads at 96.9%

  • Airbnb only96.9%
  • Multi-platform3.1%

Availability

Full-time (271–365) leads at 73.9%

  • Seasonal (1–90 nights)7.2%
  • Part-time (91–180 nights)8.7%
  • Most of year (181–270)10.1%
  • Full-time (271–365)73.9%

Listings by minimum stay

Share of Puerto Quito active supply by host-set minimum stay

2 nights
10.1%
30+ nights
89.9%

Listings by cancellation policy

Share of Puerto Quito active supply by host cancellation policy

Flexible
52.6%
Moderate
47.4%

This is the tip of the iceberg

Go deeper on Puerto Quito supply in the app.

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Explore more Puerto Quito data

Keep digging into Puerto Quito

Puerto Quito market overview

The full Puerto Quito market: 44 listings, $5.6K average revenue, 18% occupancy, $96 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 Puerto Quito.

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Frequently asked

Common questions about Puerto Quito

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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