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Vagli Sotto, Tuscany short-term rental listings & supply

Updated By The AirDNA Data Team

Vagli Sotto, Tuscany has 16 active short-term rental listings, tracked across Airbnb, Vrbo, and Booking.com.

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Total active listings
16
+0.0% YoY
Most popular size
2BR
56.3% 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 →

Vagli Sotto, Tuscany short-term rental listings

Vagli Sotto has 16 active short-term rental listings as of August 2026, tracked across Airbnb, Vrbo, and Booking.com. Active supply is up 0.0% from August 2025 to August 2026. Here's how the market breaks down:

  • By property type: 93.8% entire homes, 6.3% private rooms.
  • By size: 56.3% 2-bedroom, 25% 1-bedroom and 18.8% 3-bedroom.
  • By channel: 81.3% Airbnb-only, 18.8% cross-listed.
  • By availability: 43.8% most of year (181–270), 25% part-time (91–180 nights), 25% full-time (271–365), and 6.3% seasonal (1–90 nights).
  • By minimum stay: 37.5% 3 nights, 25% 30+ nights, 18.8% 2 nights, and 18.8% 4–6 nights.
  • By cancellation policy: 45.5% flexible, 45.5% moderate and 9.1% super strict.
78
Rental demand score
Full Vagli Sotto market overview How Market Score is calculated
Analyst's take

Vagli Sotto's Rental Demand score: 78 out of 100.

Vagli Sotto's Rental Demand subscore is 78 out of 100, one of five inputs to its overall Market Score of 99.

Rental Demand combines two inputs: annual occupancy (63% in Vagli Sotto) and year-over-year listing growth (active supply up 0.0% 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.

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 Vagli Sotto's active short-term rental supply has trended over the past year.

May '26Jul '26Aug '26Sep '26Sep '26Sep '26
See Vagli Sotto's month-by-month supply trend in the AirDNA app.

Listing mix

Four ways to slice Vagli Sotto's 16 listings

Property type

Entire home leads at 93.8%

  • Entire home93.8%
  • Private room6.3%

Bedrooms

2BR leads at 56.3%

  • 1BR25%
  • 2BR56.3%
  • 3BR18.8%

Channel

Airbnb only leads at 81.3%

  • Airbnb only81.3%
  • Multi-platform18.8%

Availability

Most of year (181–270) leads at 43.8%

  • Seasonal (1–90 nights)6.3%
  • Part-time (91–180 nights)25%
  • Most of year (181–270)43.8%
  • Full-time (271–365)25%

Listings by minimum stay

Share of Vagli Sotto active supply by host-set minimum stay

2 nights
18.8%
3 nights
37.5%
4–6 nights
18.8%
30+ nights
25%

Listings by cancellation policy

Share of Vagli Sotto active supply by host cancellation policy

Flexible
45.5%
Moderate
45.5%
Super strict
9.1%

This is the tip of the iceberg

Go deeper on Vagli Sotto supply in the app.

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Explore more Vagli Sotto data

Keep digging into Vagli Sotto

Vagli Sotto market overview

The full Vagli Sotto market: 16 listings, $16.3K average revenue, 63% occupancy, $89 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 Vagli Sotto.

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Explore more markets

Other short-term rental markets in Tuscany

Frequently asked

Common questions about Vagli Sotto

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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