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Sagada, Mountain Province short-term rental listings & supply

Updated By The AirDNA Data Team

Sagada, Mountain Province has 319 active short-term rental listings, tracked across Airbnb, Vrbo, and Booking.com.

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Total active listings
319
+30.2% YoY
Most popular size
1BR
71.8% 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 →

Sagada, Mountain Province short-term rental listings

Sagada has 319 active short-term rental listings as of July 2026, tracked across Airbnb, Vrbo, and Booking.com. Active supply is up 30.2% from July 2025 to July 2026. Here's how the market breaks down:

  • By property type: 71.5% private rooms, 26.6% entire homes and 1.9% shared rooms.
  • By size: 71.8% 1-bedroom, 11.3% 2-bedroom, 6.3% 4-bedroom, 5.6% 5+ bedroom, and 5% 3-bedroom.
  • By channel: 98.7% Airbnb-only, 1.3% cross-listed.
  • By availability: 68.3% full-time (271–365), 14.4% part-time (91–180 nights), 12.5% most of year (181–270), and 4.7% seasonal (1–90 nights).
  • By minimum stay: 84.3% 30+ nights, 15% 2 nights, 0.3% 1 night, and 0.3% 7–29 nights.
  • By cancellation policy: 56.3% flexible, 39.5% moderate and 4.2% strict.
56
Rental demand score
Full Sagada market overview How Market Score is calculated
Analyst's take

Sagada's Rental Demand score: 56 out of 100.

Sagada's Rental Demand subscore is 56 out of 100, one of five inputs to its overall Market Score of 47.

Rental Demand combines two inputs: annual occupancy (24% in Sagada) and year-over-year listing growth (active supply up 30.2% 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 Sagada's active short-term rental supply has trended over the past year.

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

Listing mix

Four ways to slice Sagada's 319 listings

Property type

Private room leads at 71.5%

  • Entire home26.6%
  • Private room71.5%
  • Shared room1.9%

Bedrooms

1BR leads at 71.8%

  • 1BR71.8%
  • 2BR11.3%
  • 3BR5%
  • 4BR6.3%
  • 5BR+5.6%

Channel

Airbnb only leads at 98.7%

  • Airbnb only98.7%
  • Multi-platform1.3%

Availability

Full-time (271–365) leads at 68.3%

  • Seasonal (1–90 nights)4.7%
  • Part-time (91–180 nights)14.4%
  • Most of year (181–270)12.5%
  • Full-time (271–365)68.3%

Listings by minimum stay

Share of Sagada active supply by host-set minimum stay

1 night
0.3%
2 nights
15%
7–29 nights
0.3%
30+ nights
84.3%

Listings by cancellation policy

Share of Sagada active supply by host cancellation policy

Flexible
56.3%
Moderate
39.5%
Strict
4.2%

This is the tip of the iceberg

Go deeper on Sagada supply in the app.

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Explore more Sagada data

Keep digging into Sagada

Sagada market overview

The full Sagada market: 319 listings, $1.8K average revenue, 24% occupancy, $58 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 Sagada.

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Frequently asked

Common questions about Sagada

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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