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Valliere, Nouvelle-Aquitaine short-term rental listings & supply

Updated By The AirDNA Data Team

Valliere, Nouvelle-Aquitaine has 15 active short-term rental listings, tracked across Airbnb, Vrbo, and Booking.com.

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Total active listings
15
-48.3% YoY
Most popular size
1BR
39.1% 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 →

Valliere, Nouvelle-Aquitaine short-term rental listings

Valliere has 15 active short-term rental listings as of September 2026, tracked across Airbnb, Vrbo, and Booking.com. Active supply is down 48.3% from September 2025 to September 2026. Here's how the market breaks down:

  • By property type: 65.2% entire homes, 34.8% private rooms.
  • By size: 39.1% 1-bedroom, 39.1% 2-bedroom, 17.4% 3-bedroom, and 4.3% 5+ bedroom.
  • By channel: 91.3% Airbnb-only, 4.3% Vrbo-only and 4.3% cross-listed.
  • By availability: 52.2% full-time (271–365), 30.4% most of year (181–270), 13% part-time (91–180 nights), and 4.3% seasonal (1–90 nights).
  • By minimum stay: 47.8% 30+ nights, 26.1% 2 nights, 13% 7–29 nights, 8.7% 4–6 nights, and 4.3% 3 nights.
  • By cancellation policy: 45.5% flexible, 36.4% moderate and 18.2% strict.
57
Rental demand score
Full Valliere market overview How Market Score is calculated
Analyst's take

Valliere's Rental Demand score: 57 out of 100.

Valliere's Rental Demand subscore is 57 out of 100, one of five inputs to its overall Market Score of 0.

Rental Demand combines two inputs: annual occupancy (44% in Valliere) and year-over-year listing growth (active supply down 48.3% 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 Valliere's active short-term rental supply has trended over the past year.

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

Listing mix

Four ways to slice Valliere's 15 listings

Property type

Entire home leads at 65.2%

  • Entire home65.2%
  • Private room34.8%

Bedrooms

1BR leads at 39.1%

  • 1BR39.1%
  • 2BR39.1%
  • 3BR17.4%
  • 5BR+4.3%

Channel

Airbnb only leads at 91.3%

  • Airbnb only91.3%
  • Vrbo only4.3%
  • Multi-platform4.3%

Availability

Full-time (271–365) leads at 52.2%

  • Seasonal (1–90 nights)4.3%
  • Part-time (91–180 nights)13%
  • Most of year (181–270)30.4%
  • Full-time (271–365)52.2%

Listings by minimum stay

Share of Valliere active supply by host-set minimum stay

2 nights
26.1%
3 nights
4.3%
4–6 nights
8.7%
7–29 nights
13%
30+ nights
47.8%

Listings by cancellation policy

Share of Valliere active supply by host cancellation policy

Flexible
45.5%
Moderate
36.4%
Strict
18.2%

This is the tip of the iceberg

Go deeper on Valliere supply in the app.

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Explore more Valliere data

Keep digging into Valliere

Valliere market overview

The full Valliere market: 15 listings, $13.2K average revenue, 44% occupancy, $106 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 Valliere.

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Explore more markets

Other short-term rental markets in Nouvelle-Aquitaine

Frequently asked

Common questions about Valliere

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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