Santa Rosa Beach, Florida Airbnb & short-term rental market data

Name: Santa Rosa Beach, Florida short-term rental overview data
Creator: AirDNA
License: https://www.airdna.co/terms

Updated October 27, 2026By The AirDNA Data Team

Santa Rosa Beach, Florida has 169 active short-term rental listings that earn an average of $48K per year, with 56% average occupancy and a $308 average daily rate.

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Santa Rosa Beach short-term rental market summary

The Santa Rosa Beach, Florida Airbnb market at a glance.

Santa Rosa Beach's short-term rental market has 169 active listings as of September 2026. The average active listing earned $48K in revenue over the trailing twelve months. Listings were booked 56% of nights they were available at an average daily rate of $308. RevPAR (daily rate weighted by occupancy) was $171. From September 2025 to September 2026, revenue is down 25.4%, occupancy is up 5.9%, ADR is down 54.4%, RevPAR is down 53.3%, and active listings are down 97.5%.

AirDNA Market Score

Rental demand65
Seasonality47
Revenue growth72
Investability50
Regulation66

How Market Score is calculated

Analyst's take

Santa Rosa Beach's AirDNA Market Score: 47 out of 100.

Santa Rosa Beach, Florida scores 47 out of 100 on AirDNA's Market Score, a 40-to-100 scale benchmarked against other short-term rental markets in the same country with at least 15 active listings.

The score combines 5 subscores, each computed from observed market data:

Rental demand (65): annual occupancy combined with year-over-year listing growth.
Seasonality (47): the percentage gap between the lowest and highest monthly average revenue over the past year (a smaller swing scores higher).
Revenue growth (72): the year-over-year change in RevPAR, counting only properties booked in both periods.
Investability (50): local home prices relative to what short-term rentals in the area earn.
Regulation (66): signals of short-term-rental rules inferred from host and property behavior.

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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2Apply filtersFilter by bedrooms, price tier, amenities, and reviews to reach properties that actually match yours.
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 →
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 →