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Saint Quentin De Chalais, Nouvelle-Aquitaine short-term rental listings & supply

Updated By The AirDNA Data Team

Saint Quentin De Chalais, Nouvelle-Aquitaine has 12 active short-term rental listings, tracked across Airbnb, Vrbo, and Booking.com.

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Total active listings
12
Across all channels
Most popular size
3BR
58.3% 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 →

Saint Quentin De Chalais, Nouvelle-Aquitaine short-term rental listings

Saint Quentin De Chalais has 12 active short-term rental listings as of August 2025, tracked across Airbnb, Vrbo, and Booking.com. Here's how the market breaks down:

  • By property type: 100% entire homes.
  • By size: 58.3% 3-bedroom, 16.7% 1-bedroom, 16.7% 4-bedroom, and 8.3% 2-bedroom.
  • By channel: 58.3% Airbnb-only, 25% cross-listed and 16.7% Vrbo-only.
  • By availability: 66.7% seasonal (1–90 nights), 33.3% part-time (91–180 nights).
  • By minimum stay: 50% 4–6 nights, 16.7% 7–29 nights, 16.7% 30+ nights, 8.3% 2 nights, and 8.3% 3 nights.
  • By cancellation policy: 44.4% moderate, 33.3% strict and 22.2% flexible.
47
Rental demand score
Full Saint Quentin De Chalais market overview How Market Score is calculated
Analyst's take

Saint Quentin De Chalais's Rental Demand score: 47 out of 100.

Saint Quentin De Chalais's Rental Demand subscore is 47 out of 100, one of five inputs to its overall Market Score of 22.

Rental Demand combines two inputs: annual occupancy (62% in Saint Quentin De Chalais) and year-over-year listing growth.

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 Saint Quentin De Chalais's active short-term rental supply has trended over the past year.

JunAugOctDecFebApr
See Saint Quentin De Chalais's month-by-month supply trend in the AirDNA app.

Listing mix

Four ways to slice Saint Quentin De Chalais's 12 listings

Property type

Entire home leads at 100%

  • Entire home100%

Bedrooms

3BR leads at 58.3%

  • 1BR16.7%
  • 2BR8.3%
  • 3BR58.3%
  • 4BR16.7%

Channel

Airbnb only leads at 58.3%

  • Airbnb only58.3%
  • Vrbo only16.7%
  • Multi-platform25%

Availability

Seasonal (1–90 nights) leads at 66.7%

  • Seasonal (1–90 nights)66.7%
  • Part-time (91–180 nights)33.3%

Listings by minimum stay

Share of Saint Quentin De Chalais active supply by host-set minimum stay

2 nights
8.3%
3 nights
8.3%
4–6 nights
50%
7–29 nights
16.7%
30+ nights
16.7%

Listings by cancellation policy

Share of Saint Quentin De Chalais active supply by host cancellation policy

Flexible
22.2%
Moderate
44.4%
Strict
33.3%

This is the tip of the iceberg

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Keep digging into Saint Quentin De Chalais

Saint Quentin De Chalais market overview

The full Saint Quentin De Chalais market: 12 listings, $11.1K average revenue, 62% occupancy, $171 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 Saint Quentin De Chalais.

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Explore more markets

Other short-term rental markets in Nouvelle-Aquitaine

Frequently asked

Common questions about Saint Quentin De Chalais

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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