Philippines Airbnb & short-term rental market data

Updated

Free Airbnb and short-term rental statistics for 202 cities, towns and resort markets in Philippines across 50 regions, from Cebu City and Baguio to Davao City. Every market page reports active Airbnb, Vrbo and Booking.com listings, occupancy rate, average daily rate, RevPAR, annual revenue per listing and AirDNA's Market Score, refreshed monthly.

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 →

Largest markets

The largest Airbnb & short-term rental markets in Philippines

The 12 markets in Philippines with the most active Airbnb, Vrbo and Booking.com listings, with each market's live occupancy rate, average daily rate and annual revenue per listing. Updated September 29, 2026.

  1. Cebu CityCebu
    89
    Active listings
    4,667
    Annual revenue
    $6.7K
    Occupancy
    57%
    Avg daily rate
    $34
    Cebu City short-term rental data
  2. BaguioBenguet
    76
    Active listings
    3,663
    Annual revenue
    $8.2K
    Occupancy
    43%
    Avg daily rate
    $56
    Baguio short-term rental data
  3. Davao CityDavao City
    93
    Active listings
    3,176
    Annual revenue
    $6K
    Occupancy
    51%
    Avg daily rate
    $34
    Davao City short-term rental data
  4. MactanCebu
    91
    Active listings
    2,488
    Annual revenue
    $7.3K
    Occupancy
    53%
    Avg daily rate
    $39
    Mactan short-term rental data
  5. TagaytayCavite
    75
    Active listings
    2,342
    Annual revenue
    $7.1K
    Occupancy
    34%
    Avg daily rate
    $61
    Tagaytay short-term rental data
  6. Iloilo CityIloilo
    94
    Active listings
    1,587
    Annual revenue
    $5.7K
    Occupancy
    51%
    Avg daily rate
    $32
    Iloilo City short-term rental data
  7. Cagayan De OroMisamis Oriental
    90
    Active listings
    1,317
    Annual revenue
    $6K
    Occupancy
    49%
    Avg daily rate
    $35
    Cagayan De Oro short-term rental data
  8. General LunaSurigao del Norte
    96
    Active listings
    1,258
    Annual revenue
    $14K
    Occupancy
    62%
    Avg daily rate
    $65
    General Luna short-term rental data
  9. AngelesPampanga
    93
    Active listings
    1,161
    Annual revenue
    $10.1K
    Occupancy
    52%
    Avg daily rate
    $57
    Angeles short-term rental data
  10. La UnionLa Union
    81
    Active listings
    1,067
    Annual revenue
    $9.4K
    Occupancy
    34%
    Avg daily rate
    $81
    La Union short-term rental data
  11. BacolodNegros Occidental
    87
    Active listings
    996
    Annual revenue
    $5.5K
    Occupancy
    47%
    Avg daily rate
    $33
    Bacolod short-term rental data
  12. Mandaue CityCebu
    93
    Active listings
    708
    Annual revenue
    $5.2K
    Occupancy
    55%
    Avg daily rate
    $27
    Mandaue City short-term rental data

Browse by region

Philippines Airbnb & short-term rental data by region

202 markets across 50 regions. Pick a region for its Airbnb statistics by city: the largest markets, total active listings, the highest-occupancy market, and a link to every market page inside it.

About the data

What is AirDNA's Airbnb & short-term rental data?

AirDNA tracks the daily performance of more than 10 million short-term rental listings on Airbnb, Vrbo and Booking.com across 120,000+ markets worldwide. The 202 market pagesfor Philippines on this site are a free, monthly-refreshed slice of that dataset: for every market, the trailing-twelve-month active listing count, annual revenue per listing, occupancy rate, average daily rate (ADR), RevPAR and AirDNA's Market Score, plus supply mix and the largest property managers.

Where the data comes from

Listing, calendar and booking activity is collected directly from Airbnb, Vrbo and Booking.com and supplemented by 1M+ partner properties connected through property management systems, channel managers and direct host integrations. The same home listed on several channels is counted once.

How AirDNA collects data →

How often it updates

Market pages are refreshed monthly. Every headline metric is a trailing-twelve-month figure, so a market is judged on a full year of bookings, not one busy or slow month. The “Updated” date at the top of each page is the real refresh date.

How often AirDNA data is updated →

What every market page includes

  • Active listings. Homes on Airbnb, Vrbo and Booking.com available or booked in the trailing 12 months, de-duplicated across channels.
  • Annual revenue. Trailing-twelve-month earnings of a typical active listing, including nightly rates and guest fees.
  • Occupancy. The share of available nights that were actually booked.
  • ADR & RevPAR. What booked nights cost on average, and revenue per available night (occupancy × ADR).
  • Market Score. A 40–100 grade of short-term rental potential, with five subscores.
  • Supply & operators. Property types, bedroom mix, channel split, availability and the largest property managers.
See an example: Cebu City, Cebu short-term rental data →

How the Market Score works

AirDNA's Market Score grades each market from 40 to 100 on short-term rental potential, benchmarked against other short-term rental markets in the same country with at least 15 active listings. It combines five subscores, each computed from observed market data:

  • Rental demand: annual occupancy combined with year-over-year listing growth.
  • Revenue growth: the year-over-year change in RevPAR, counting only properties booked in both periods.
  • Seasonality: the percentage gap between the lowest and highest monthly average revenue over the past year (a smaller swing scores higher).
  • Regulation: signals of short-term-rental rules inferred from host and property behavior.
  • Investability: local home prices relative to what short-term rentals in the area earn.
How Market Score is calculated →

Looking for a region or market that isn't listed? AirDNA's app covers 120K+ markets globally, including neighborhoods inside the markets on this site.

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 →
Annual revenue
Annual revenue is the trailing-twelve-month earnings of a typical active listing before host expenses, including booked nightly rates plus cleaning and other guest fees.How AirDNA calculates revenue →
Occupancy
Occupancy is the share of available nights that get booked, averaged across active listings over the trailing 12 months. It measures real demand, not how many nights a host chooses to list.How AirDNA calculates occupancy →
Average daily rate (ADR)
ADR is the average nightly price guests actually paid across booked nights in the trailing 12 months. Nights that didn't book are excluded.How AirDNA calculates ADR →
RevPAR
RevPAR (revenue per available rental) is occupancy multiplied by ADR. It captures both how often a listing books and what it charges, making it the truest measure of earning power per available night.What is RevPAR? →
Market Score
AirDNA's Market Score grades each market from 40 to 100 on short-term rental potential, weighing rental demand, revenue growth, seasonality, regulation, and investability. Markets are benchmarked against others in the same country.How Market Score is calculated →
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Frequently asked

Quick answers about Philippines Airbnb & short-term rental data

Get more in the app

There's a lot more inside the AirDNA app.

Every market in Philippines with neighborhood-level data, custom comp sets, historical trends and address-level revenue projections.

  • Custom comp sets
  • Neighborhood data
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