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San Dona Di Piave, Veneto short-term rental listings & supply

Updated By The AirDNA Data Team

San Dona Di Piave, Veneto has 45 active short-term rental listings, tracked across Airbnb, Vrbo, and Booking.com.

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Total active listings
45
-10.0% YoY
Most popular size
1BR
48.9% 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 →

San Dona Di Piave, Veneto short-term rental listings

San Dona Di Piave has 45 active short-term rental listings as of July 2026, tracked across Airbnb, Vrbo, and Booking.com. Active supply is down 10.0% from July 2025 to July 2026. Here's how the market breaks down:

  • By property type: 66.7% entire homes, 33.3% private rooms.
  • By size: 48.9% 1-bedroom, 31.1% 2-bedroom, 11.1% 3-bedroom, and 8.9% 4-bedroom.
  • By channel: 86.7% Airbnb-only, 11.1% cross-listed and 2.2% Vrbo-only.
  • By availability: 42.2% full-time (271–365), 26.7% seasonal (1–90 nights), 17.8% part-time (91–180 nights), and 13.3% most of year (181–270).
  • By minimum stay: 40% 2 nights, 40% 30+ nights, 11.1% 3 nights, and 8.9% 4–6 nights.
  • By cancellation policy: 59.4% moderate, 40.6% flexible.
78
Rental demand score
Full San Dona Di Piave market overview How Market Score is calculated
Analyst's take

San Dona Di Piave's Rental Demand score: 78 out of 100.

San Dona Di Piave's Rental Demand subscore is 78 out of 100, one of five inputs to its overall Market Score of 54.

Rental Demand combines two inputs: annual occupancy (62% in San Dona Di Piave) and year-over-year listing growth (active supply down 10.0% 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 San Dona Di Piave's active short-term rental supply has trended over the past year.

Oct '25Dec '25Feb '26Apr '26Jun '26Aug '26
See San Dona Di Piave's month-by-month supply trend in the AirDNA app.

Listing mix

Four ways to slice San Dona Di Piave's 45 listings

Property type

Entire home leads at 66.7%

  • Entire home66.7%
  • Private room33.3%

Bedrooms

1BR leads at 48.9%

  • 1BR48.9%
  • 2BR31.1%
  • 3BR11.1%
  • 4BR8.9%

Channel

Airbnb only leads at 86.7%

  • Airbnb only86.7%
  • Vrbo only2.2%
  • Multi-platform11.1%

Availability

Full-time (271–365) leads at 42.2%

  • Seasonal (1–90 nights)26.7%
  • Part-time (91–180 nights)17.8%
  • Most of year (181–270)13.3%
  • Full-time (271–365)42.2%

Listings by minimum stay

Share of San Dona Di Piave active supply by host-set minimum stay

2 nights
40%
3 nights
11.1%
4–6 nights
8.9%
30+ nights
40%

Listings by cancellation policy

Share of San Dona Di Piave active supply by host cancellation policy

Flexible
40.6%
Moderate
59.4%

This is the tip of the iceberg

Go deeper on San Dona Di Piave supply in the app.

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Explore more San Dona Di Piave data

Keep digging into San Dona Di Piave

San Dona Di Piave market overview

The full San Dona Di Piave market: 45 listings, $9.7K average revenue, 62% occupancy, $111 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 San Dona Di Piave.

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Frequently asked

Common questions about San Dona Di Piave

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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