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Availles En Chatellerault, New Aquitaine short-term rental listings & supply

Updated By The AirDNA Data Team

Availles En Chatellerault, New Aquitaine has 6 active short-term rental listings, tracked across Airbnb, Vrbo, and Booking.com.

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Total active listings
6
Across all channels
Most popular size
2BR
33.3% 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 →

Availles En Chatellerault, New Aquitaine short-term rental listings

Availles En Chatellerault has 6 active short-term rental listings as of November 2024, tracked across Airbnb, Vrbo, and Booking.com. Here's how the market breaks down:

  • By property type: 100% entire homes.
  • By size: 33.3% 2-bedroom, 33.3% 5+ bedroom, 16.7% 1-bedroom, and 16.7% 3-bedroom.
  • By channel: 66.7% Airbnb-only, 16.7% Vrbo-only and 16.7% cross-listed.
  • By availability: 33.3% seasonal (1–90 nights), 33.3% part-time (91–180 nights) and 33.3% most of year (181–270).
  • By minimum stay: 50% 2 nights, 33.3% 7–29 nights and 16.7% 4–6 nights.
  • By cancellation policy: 66.7% flexible, 33.3% moderate.
54
Rental demand score
Full Availles En Chatellerault market overview How Market Score is calculated
Analyst's take

Availles En Chatellerault's Rental Demand score: 54 out of 100.

Availles En Chatellerault's Rental Demand subscore is 54 out of 100, one of five inputs to its overall Market Score of 16.

Rental Demand combines two inputs: annual occupancy (38% in Availles En Chatellerault) 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 Availles En Chatellerault's active short-term rental supply has trended over the past year.

JunAugOctDecFebApr
See Availles En Chatellerault's month-by-month supply trend in the AirDNA app.

Listing mix

Four ways to slice Availles En Chatellerault's 6 listings

Property type

Entire home leads at 100%

  • Entire home100%

Bedrooms

2BR leads at 33.3%

  • 1BR16.7%
  • 2BR33.3%
  • 3BR16.7%
  • 5BR+33.3%

Channel

Airbnb only leads at 66.7%

  • Airbnb only66.7%
  • Vrbo only16.7%
  • Multi-platform16.7%

Availability

Seasonal (1–90 nights) leads at 33.3%

  • Seasonal (1–90 nights)33.3%
  • Part-time (91–180 nights)33.3%
  • Most of year (181–270)33.3%

Listings by minimum stay

Share of Availles En Chatellerault active supply by host-set minimum stay

2 nights
50%
4–6 nights
16.7%
7–29 nights
33.3%

Listings by cancellation policy

Share of Availles En Chatellerault active supply by host cancellation policy

Flexible
66.7%
Moderate
33.3%

This is the tip of the iceberg

Go deeper on Availles En Chatellerault supply in the app.

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Explore more Availles En Chatellerault data

Keep digging into Availles En Chatellerault

Availles En Chatellerault market overview

The full Availles En Chatellerault market: 6 listings, $8.6K average revenue, 38% occupancy, $177 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 Availles En Chatellerault.

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Explore more markets

Other short-term rental markets in New Aquitaine

Frequently asked

Common questions about Availles En Chatellerault

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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