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Glen Saint Mary, Florida short-term rental listings & supply

Updated By The AirDNA Data Team

Glen Saint Mary, Florida has 16 active short-term rental listings, tracked across Airbnb, Vrbo, and Booking.com.

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Total active listings
16
-59.0% YoY
Most popular size
1BR
48.1% 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 →

Glen Saint Mary, Florida short-term rental listings

Glen Saint Mary has 16 active short-term rental listings as of August 2026, tracked across Airbnb, Vrbo, and Booking.com. Active supply is down 59.0% from August 2025 to August 2026. Here's how the market breaks down:

  • By property type: 100% entire homes.
  • By size: 48.1% 1-bedroom, 40.7% 2-bedroom, 9.3% 3-bedroom, and 1.9% 5+ bedroom.
  • By channel: 74.1% Airbnb-only, 24.1% cross-listed and 1.9% Vrbo-only.
  • By availability: 50% full-time (271–365), 27.8% part-time (91–180 nights) and 22.2% most of year (181–270).
  • By minimum stay: 57.4% 2 nights, 35.2% 30+ nights and 7.4% 3 nights.
  • By cancellation policy: 73.3% flexible, 22.2% moderate and 4.4% strict.
40
Rental demand score
Full Glen Saint Mary market overview How Market Score is calculated
Analyst's take

Glen Saint Mary's Rental Demand score: 40 out of 100.

Glen Saint Mary's Rental Demand subscore is 40 out of 100, one of five inputs to its overall Market Score of 40.

Rental Demand combines two inputs: annual occupancy (32% in Glen Saint Mary) and year-over-year listing growth (active supply down 59.0% 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 Glen Saint Mary's active short-term rental supply has trended over the past year.

Mar '26May '26Jul '26Aug '26Sep '26Sep '26
See Glen Saint Mary's month-by-month supply trend in the AirDNA app.

Listing mix

Four ways to slice Glen Saint Mary's 16 listings

Property type

Entire home leads at 100%

  • Entire home100%

Bedrooms

1BR leads at 48.1%

  • 1BR48.1%
  • 2BR40.7%
  • 3BR9.3%
  • 5BR+1.9%

Channel

Airbnb only leads at 74.1%

  • Airbnb only74.1%
  • Vrbo only1.9%
  • Multi-platform24.1%

Availability

Full-time (271–365) leads at 50%

  • Part-time (91–180 nights)27.8%
  • Most of year (181–270)22.2%
  • Full-time (271–365)50%

Listings by minimum stay

Share of Glen Saint Mary active supply by host-set minimum stay

2 nights
57.4%
3 nights
7.4%
30+ nights
35.2%

Listings by cancellation policy

Share of Glen Saint Mary active supply by host cancellation policy

Flexible
73.3%
Moderate
22.2%
Strict
4.4%

This is the tip of the iceberg

Go deeper on Glen Saint Mary supply in the app.

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Glen Saint Mary market overview

The full Glen Saint Mary market: 16 listings, $18K average revenue, 32% occupancy, $166 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 Glen Saint Mary.

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Explore more markets

Other short-term rental markets in Florida

Frequently asked

Common questions about Glen Saint Mary

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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