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Petralia Sottana, Sicilia short-term rental listings & supply

Updated By The AirDNA Data Team

Petralia Sottana, Sicilia has 28 active short-term rental listings, tracked across Airbnb, Vrbo, and Booking.com.

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Total active listings
28
-12.5% YoY
Most popular size
1BR
46.4% 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 →

Petralia Sottana, Sicilia short-term rental listings

Petralia Sottana has 28 active short-term rental listings as of July 2026, tracked across Airbnb, Vrbo, and Booking.com. Active supply is down 12.5% from July 2025 to July 2026. Here's how the market breaks down:

  • By property type: 78.6% entire homes, 14.3% private rooms and 7.1% shared rooms.
  • By size: 46.4% 1-bedroom, 39.3% 2-bedroom, 10.7% 4-bedroom, and 3.6% 3-bedroom.
  • By channel: 82.1% Airbnb-only, 17.9% cross-listed.
  • By availability: 82.1% full-time (271–365), 14.3% most of year (181–270) and 3.6% part-time (91–180 nights).
  • By minimum stay: 71.4% 30+ nights, 21.4% 2 nights, 3.6% 3 nights, and 3.6% 4–6 nights.
  • By cancellation policy: 52% flexible, 40% moderate and 8% super strict.
48
Rental demand score
Full Petralia Sottana market overview How Market Score is calculated
Analyst's take

Petralia Sottana's Rental Demand score: 48 out of 100.

Petralia Sottana's Rental Demand subscore is 48 out of 100, one of five inputs to its overall Market Score of 69.

Rental Demand combines two inputs: annual occupancy (30% in Petralia Sottana) and year-over-year listing growth (active supply down 12.5% 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 Petralia Sottana's active short-term rental supply has trended over the past year.

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

Listing mix

Four ways to slice Petralia Sottana's 28 listings

Property type

Entire home leads at 78.6%

  • Entire home78.6%
  • Private room14.3%
  • Shared room7.1%

Bedrooms

1BR leads at 46.4%

  • 1BR46.4%
  • 2BR39.3%
  • 3BR3.6%
  • 4BR10.7%

Channel

Airbnb only leads at 82.1%

  • Airbnb only82.1%
  • Multi-platform17.9%

Availability

Full-time (271–365) leads at 82.1%

  • Part-time (91–180 nights)3.6%
  • Most of year (181–270)14.3%
  • Full-time (271–365)82.1%

Listings by minimum stay

Share of Petralia Sottana active supply by host-set minimum stay

2 nights
21.4%
3 nights
3.6%
4–6 nights
3.6%
30+ nights
71.4%

Listings by cancellation policy

Share of Petralia Sottana active supply by host cancellation policy

Flexible
52%
Moderate
40%
Super strict
8%

This is the tip of the iceberg

Go deeper on Petralia Sottana supply in the app.

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Explore more Petralia Sottana data

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Petralia Sottana market overview

The full Petralia Sottana market: 28 listings, $8.7K average revenue, 30% occupancy, $151 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 Petralia Sottana.

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Frequently asked

Common questions about Petralia Sottana

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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