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Sant Angelo Di Brolo, Sicilia short-term rental listings & supply

Updated By The AirDNA Data Team

Sant Angelo Di Brolo, Sicilia has 22 active short-term rental listings, tracked across Airbnb, Vrbo, and Booking.com.

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Total active listings
22
-37.1% YoY
Most popular size
1BR
59.1% 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 →

Sant Angelo Di Brolo, Sicilia short-term rental listings

Sant Angelo Di Brolo has 22 active short-term rental listings as of July 2026, tracked across Airbnb, Vrbo, and Booking.com. Active supply is down 37.1% from July 2025 to July 2026. Here's how the market breaks down:

  • By property type: 54.5% private rooms, 45.5% entire homes.
  • By size: 59.1% 1-bedroom, 22.7% 2-bedroom, 13.6% 3-bedroom, and 4.5% 4-bedroom.
  • By channel: 63.6% Airbnb-only, 36.4% cross-listed.
  • By availability: 63.6% full-time (271–365), 18.2% part-time (91–180 nights) and 18.2% most of year (181–270).
  • By minimum stay: 72.7% 30+ nights, 13.6% 2 nights, 9.1% 4–6 nights, and 4.5% 3 nights.
  • By cancellation policy: 56.3% flexible, 43.8% moderate.
55
Rental demand score
Full Sant Angelo Di Brolo market overview How Market Score is calculated
Analyst's take

Sant Angelo Di Brolo's Rental Demand score: 55 out of 100.

Sant Angelo Di Brolo's Rental Demand subscore is 55 out of 100, one of five inputs to its overall Market Score of 46.

Rental Demand combines two inputs: annual occupancy (53% in Sant Angelo Di Brolo) and year-over-year listing growth (active supply down 37.1% 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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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 Sant Angelo Di Brolo's active short-term rental supply has trended over the past year.

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

Listing mix

Four ways to slice Sant Angelo Di Brolo's 22 listings

Property type

Private room leads at 54.5%

  • Entire home45.5%
  • Private room54.5%

Bedrooms

1BR leads at 59.1%

  • 1BR59.1%
  • 2BR22.7%
  • 3BR13.6%
  • 4BR4.5%

Channel

Airbnb only leads at 63.6%

  • Airbnb only63.6%
  • Multi-platform36.4%

Availability

Full-time (271–365) leads at 63.6%

  • Part-time (91–180 nights)18.2%
  • Most of year (181–270)18.2%
  • Full-time (271–365)63.6%

Listings by minimum stay

Share of Sant Angelo Di Brolo active supply by host-set minimum stay

2 nights
13.6%
3 nights
4.5%
4–6 nights
9.1%
30+ nights
72.7%

Listings by cancellation policy

Share of Sant Angelo Di Brolo active supply by host cancellation policy

Flexible
56.3%
Moderate
43.8%

This is the tip of the iceberg

Go deeper on Sant Angelo Di Brolo supply in the app.

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Explore more Sant Angelo Di Brolo data

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Sant Angelo Di Brolo market overview

The full Sant Angelo Di Brolo market: 22 listings, $5.5K average revenue, 53% occupancy, $113 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 Sant Angelo Di Brolo.

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Frequently asked

Common questions about Sant Angelo Di Brolo

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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