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Monte Colombo, Emilia Romagna short-term rental listings & supply

Updated By The AirDNA Data Team

Monte Colombo, Emilia Romagna has 4 active short-term rental listings, tracked across Airbnb, Vrbo, and Booking.com.

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Total active listings
4
-73.3% YoY
Most popular size
3BR
37.5% 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 →

Monte Colombo, Emilia Romagna short-term rental listings

Monte Colombo has 4 active short-term rental listings as of September 2026, tracked across Airbnb, Vrbo, and Booking.com. Active supply is down 73.3% from September 2025 to September 2026. Here's how the market breaks down:

  • By property type: 87.5% entire homes, 12.5% private rooms.
  • By size: 37.5% 3-bedroom, 25% 1-bedroom, 25% 2-bedroom, and 12.5% 4-bedroom.
  • By channel: 83.3% Airbnb-only, 16.7% cross-listed.
  • By availability: 62.5% full-time (271–365), 12.5% seasonal (1–90 nights), 12.5% part-time (91–180 nights), and 12.5% most of year (181–270).
  • By minimum stay: 37.5% 2 nights, 37.5% 4–6 nights and 25% 30+ nights.
  • By cancellation policy: 50% flexible, 33.3% super strict and 16.7% moderate.
36
Rental demand score
Full Monte Colombo market overview How Market Score is calculated
Analyst's take

Monte Colombo's Rental Demand score: 36 out of 100.

Monte Colombo's Rental Demand subscore is 36 out of 100, one of five inputs to its overall Market Score of 51.

Rental Demand combines two inputs: annual occupancy (59% in Monte Colombo) and year-over-year listing growth (active supply down 73.3% from September 2025 to September 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 Monte Colombo's active short-term rental supply has trended over the past year.

Jul '26Aug '26Sep '26Sep '26Sep '26Oct '26
See Monte Colombo's month-by-month supply trend in the AirDNA app.

Listing mix

Four ways to slice Monte Colombo's 4 listings

Property type

Entire home leads at 87.5%

  • Entire home87.5%
  • Private room12.5%

Bedrooms

3BR leads at 37.5%

  • 1BR25%
  • 2BR25%
  • 3BR37.5%
  • 4BR12.5%

Channel

Airbnb only leads at 83.3%

  • Airbnb only83.3%
  • Multi-platform16.7%

Availability

Full-time (271–365) leads at 62.5%

  • Seasonal (1–90 nights)12.5%
  • Part-time (91–180 nights)12.5%
  • Most of year (181–270)12.5%
  • Full-time (271–365)62.5%

Listings by minimum stay

Share of Monte Colombo active supply by host-set minimum stay

2 nights
37.5%
4–6 nights
37.5%
30+ nights
25%

Listings by cancellation policy

Share of Monte Colombo active supply by host cancellation policy

Flexible
50%
Moderate
16.7%
Super strict
33.3%

This is the tip of the iceberg

Go deeper on Monte Colombo supply in the app.

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Explore more Monte Colombo data

Keep digging into Monte Colombo

Monte Colombo market overview

The full Monte Colombo market: 4 listings, $22.4K average revenue, 59% occupancy, $176 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 Monte Colombo.

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Explore more markets

Other short-term rental markets in Emilia Romagna

Frequently asked

Common questions about Monte Colombo

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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