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Les Farges, New Aquitaine short-term rental listings & supply

Updated By The AirDNA Data Team

Les Farges, New Aquitaine has 14 active short-term rental listings, tracked across Airbnb, Vrbo, and Booking.com.

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Total active listings
14
-12.5% YoY
Most popular size
1BR
50% 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 Farges, New Aquitaine short-term rental listings

Les Farges has 14 active short-term rental listings as of July 2026, tracked across Airbnb, Vrbo, and Booking.com. Active supply is down 12.5% from July 2025 to July 2026. Here's how the market breaks down:

  • By property type: 100% entire homes.
  • By size: 50% 1-bedroom, 28.6% 2-bedroom, 14.3% 3-bedroom, and 7.1% 4-bedroom.
  • By channel: 78.6% Airbnb-only, 21.4% cross-listed.
  • By availability: 50% full-time (271–365), 28.6% most of year (181–270), 14.3% seasonal (1–90 nights), and 7.1% part-time (91–180 nights).
  • By minimum stay: 35.7% 2 nights, 28.6% 4–6 nights, 14.3% 3 nights, 14.3% 7–29 nights, and 7.1% 30+ nights.
  • By cancellation policy: 50% flexible, 40% moderate and 10% super strict.
88
Rental demand score
Full Les Farges market overview How Market Score is calculated
Analyst's take

Les Farges's Rental Demand score: 88 out of 100.

Les Farges's Rental Demand subscore is 88 out of 100, one of five inputs to its overall Market Score of 87.

Rental Demand combines two inputs: annual occupancy (64% in Les Farges) and year-over-year listing growth (active supply down 12.5% from July 2025 to July 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 Les Farges's active short-term rental supply has trended over the past year.

Oct '25Dec '25Feb '26Apr '26Jun '26Aug '26
See Les Farges's month-by-month supply trend in the AirDNA app.

Listing mix

Four ways to slice Les Farges's 14 listings

Property type

Entire home leads at 100%

  • Entire home100%

Bedrooms

1BR leads at 50%

  • 1BR50%
  • 2BR28.6%
  • 3BR14.3%
  • 4BR7.1%

Channel

Airbnb only leads at 78.6%

  • Airbnb only78.6%
  • Multi-platform21.4%

Availability

Full-time (271–365) leads at 50%

  • Seasonal (1–90 nights)14.3%
  • Part-time (91–180 nights)7.1%
  • Most of year (181–270)28.6%
  • Full-time (271–365)50%

Listings by minimum stay

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

2 nights
35.7%
3 nights
14.3%
4–6 nights
28.6%
7–29 nights
14.3%
30+ nights
7.1%

Listings by cancellation policy

Share of Les Farges active supply by host cancellation policy

Flexible
50%
Moderate
40%
Super strict
10%

This is the tip of the iceberg

Go deeper on Les Farges supply in the app.

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Explore more Les Farges data

Keep digging into Les Farges

Les Farges market overview

The full Les Farges market: 14 listings, $10.6K average revenue, 64% occupancy, $147 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 Farges.

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Explore more markets

Other short-term rental markets in New Aquitaine

Frequently asked

Common questions about Les Farges

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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