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Les Cheres, Auvergne-Rhône-Alpes short-term rental listings & supply

Updated By The AirDNA Data Team

Les Cheres, Auvergne-Rhône-Alpes has 9 active short-term rental listings, tracked across Airbnb, Vrbo, and Booking.com.

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Total active listings
9
Across all channels
Most popular size
1BR
27.3% 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 →

Les Cheres, Auvergne-Rhône-Alpes short-term rental listings

Les Cheres has 9 active short-term rental listings as of August 2026, tracked across Airbnb, Vrbo, and Booking.com. Here's how the market breaks down:

  • By property type: 90.9% entire homes, 9.1% private rooms.
  • By size: 27.3% 1-bedroom, 27.3% 2-bedroom, 18.2% 3-bedroom, 18.2% 4-bedroom, and 9.1% 5+ bedroom.
  • By channel: 90.9% Airbnb-only, 9.1% cross-listed.
  • By availability: 72.7% full-time (271–365), 18.2% seasonal (1–90 nights) and 9.1% part-time (91–180 nights).
  • By minimum stay: 63.6% 2 nights, 36.4% 30+ nights.
  • By cancellation policy: 100% flexible.
14
Rental demand score
Full Les Cheres market overview How Market Score is calculated
Analyst's take

Les Cheres's Rental Demand score: 14 out of 100.

Les Cheres's Rental Demand subscore is 14 out of 100, one of five inputs to its overall Market Score of 0.

Rental Demand combines two inputs: annual occupancy (36% in Les Cheres) 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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  2. 2Apply filtersFilter by bedrooms, price tier, amenities, and reviews to reach properties that actually match yours.
  3. 3Estimate one addressProject what one specific property can earn with a custom comp set built from its exact specs.
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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 Les Cheres's active short-term rental supply has trended over the past year.

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

Listing mix

Four ways to slice Les Cheres's 9 listings

Property type

Entire home leads at 90.9%

  • Entire home90.9%
  • Private room9.1%

Bedrooms

1BR leads at 27.3%

  • 1BR27.3%
  • 2BR27.3%
  • 3BR18.2%
  • 4BR18.2%
  • 5BR+9.1%

Channel

Airbnb only leads at 90.9%

  • Airbnb only90.9%
  • Multi-platform9.1%

Availability

Full-time (271–365) leads at 72.7%

  • Seasonal (1–90 nights)18.2%
  • Part-time (91–180 nights)9.1%
  • Full-time (271–365)72.7%

Listings by minimum stay

Share of Les Cheres active supply by host-set minimum stay

2 nights
63.6%
30+ nights
36.4%

Listings by cancellation policy

Share of Les Cheres active supply by host cancellation policy

Flexible
100%

This is the tip of the iceberg

Go deeper on Les Cheres supply in the app.

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Explore more Les Cheres data

Keep digging into Les Cheres

Les Cheres market overview

The full Les Cheres market: 9 listings, $15.3K average revenue, 36% occupancy, $119 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 Les Cheres.

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Explore more markets

Other short-term rental markets in Auvergne-Rhône-Alpes

Frequently asked

Common questions about Les Cheres

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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