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Montalto Di Castro, Lazio short-term rental listings & supply

Updated By The AirDNA Data Team

Montalto Di Castro, Lazio has 146 active short-term rental listings, tracked across Airbnb, Vrbo, and Booking.com.

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Total active listings
146
-29.5% YoY
Most popular size
1BR
40.2% 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 →

Montalto Di Castro, Lazio short-term rental listings

Montalto Di Castro has 146 active short-term rental listings as of August 2026, tracked across Airbnb, Vrbo, and Booking.com. Active supply is down 29.5% from August 2025 to August 2026. Here's how the market breaks down:

  • By property type: 91% entire homes, 9% private rooms.
  • By size: 40.2% 1-bedroom, 38.6% 2-bedroom, 15.3% 3-bedroom, 3.2% 5+ bedroom, and 2.6% 4-bedroom.
  • By channel: 62.5% Airbnb-only, 30.7% cross-listed and 6.8% Vrbo-only.
  • By availability: 42.9% full-time (271–365), 30.2% part-time (91–180 nights), 14.8% seasonal (1–90 nights), and 12.2% most of year (181–270).
  • By minimum stay: 46% 30+ nights, 22.8% 2 nights, 12.2% 7–29 nights, 10.1% 4–6 nights, 7.9% 3 nights, and 1.1% 1 night.
  • By cancellation policy: 43.9% moderate, 27.2% super strict, 20.2% flexible, and 8.8% strict.
45
Rental demand score
Full Montalto Di Castro market overview How Market Score is calculated
Analyst's take

Montalto Di Castro's Rental Demand score: 45 out of 100.

Montalto Di Castro's Rental Demand subscore is 45 out of 100, one of five inputs to its overall Market Score of 64.

Rental Demand combines two inputs: annual occupancy (49% in Montalto Di Castro) and year-over-year listing growth (active supply down 29.5% 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.

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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 Montalto Di Castro's active short-term rental supply has trended over the past year.

May '26Jul '26Aug '26Sep '26Sep '26Sep '26
See Montalto Di Castro's month-by-month supply trend in the AirDNA app.

Listing mix

Four ways to slice Montalto Di Castro's 146 listings

Property type

Entire home leads at 91%

  • Entire home91%
  • Private room9%

Bedrooms

1BR leads at 40.2%

  • 1BR40.2%
  • 2BR38.6%
  • 3BR15.3%
  • 4BR2.6%
  • 5BR+3.2%

Channel

Airbnb only leads at 62.5%

  • Airbnb only62.5%
  • Vrbo only6.8%
  • Multi-platform30.7%

Availability

Full-time (271–365) leads at 42.9%

  • Seasonal (1–90 nights)14.8%
  • Part-time (91–180 nights)30.2%
  • Most of year (181–270)12.2%
  • Full-time (271–365)42.9%

Listings by minimum stay

Share of Montalto Di Castro active supply by host-set minimum stay

1 night
1.1%
2 nights
22.8%
3 nights
7.9%
4–6 nights
10.1%
7–29 nights
12.2%
30+ nights
46%

Listings by cancellation policy

Share of Montalto Di Castro active supply by host cancellation policy

Flexible
20.2%
Moderate
43.9%
Strict
8.8%
Super strict
27.2%

This is the tip of the iceberg

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Montalto Di Castro market overview

The full Montalto Di Castro market: 146 listings, $18.2K average revenue, 49% occupancy, $179 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 Montalto Di Castro.

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Explore more markets

Other short-term rental markets in Lazio

Frequently asked

Common questions about Montalto Di Castro

Get more in the app

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  • Custom comp sets
  • Neighborhood data
  • Deep filters
  • Heat maps
  • For Sale by yield
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