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Les Iffs, Brittany short-term rental listings & supply

Updated By The AirDNA Data Team

Les Iffs, Brittany 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
1BR
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 →

Les Iffs, Brittany short-term rental listings

Les Iffs has 12 active short-term rental listings as of July 2026, tracked across Airbnb, Vrbo, and Booking.com. Here's how the market breaks down:

  • By property type: 66.7% entire homes, 33.3% private rooms.
  • By size: 58.3% 1-bedroom, 25% 2-bedroom, 8.3% 3-bedroom, and 8.3% 5+ bedroom.
  • By channel: 83.3% Airbnb-only, 16.7% cross-listed.
  • By availability: 58.3% full-time (271–365), 33.3% part-time (91–180 nights) and 8.3% seasonal (1–90 nights).
  • By minimum stay: 83.3% 30+ nights, 8.3% 2 nights and 8.3% 3 nights.
  • By cancellation policy: 60% flexible, 20% moderate and 20% strict.
14
Rental demand score
Full Les Iffs market overview How Market Score is calculated
Analyst's take

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

Les Iffs's Rental Demand subscore is 14 out of 100, one of five inputs to its overall Market Score of 17.

Rental Demand combines two inputs: annual occupancy (41% in Les Iffs) 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:

  1. 1Narrow to a neighborhoodNeighborhood metrics give a far more accurate picture of the exact area you're considering.
  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 Iffs's active short-term rental supply has trended over the past year.

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

Listing mix

Four ways to slice Les Iffs's 12 listings

Property type

Entire home leads at 66.7%

  • Entire home66.7%
  • Private room33.3%

Bedrooms

1BR leads at 58.3%

  • 1BR58.3%
  • 2BR25%
  • 3BR8.3%
  • 5BR+8.3%

Channel

Airbnb only leads at 83.3%

  • Airbnb only83.3%
  • Multi-platform16.7%

Availability

Full-time (271–365) leads at 58.3%

  • Seasonal (1–90 nights)8.3%
  • Part-time (91–180 nights)33.3%
  • Full-time (271–365)58.3%

Listings by minimum stay

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

2 nights
8.3%
3 nights
8.3%
30+ nights
83.3%

Listings by cancellation policy

Share of Les Iffs active supply by host cancellation policy

Flexible
60%
Moderate
20%
Strict
20%

This is the tip of the iceberg

Go deeper on Les Iffs supply in the app.

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Explore more Les Iffs data

Keep digging into Les Iffs

Les Iffs market overview

The full Les Iffs market: 12 listings, $8.6K average revenue, 41% occupancy, $123 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 Iffs.

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Explore more markets

Other short-term rental markets in Brittany

Frequently asked

Common questions about Les Iffs

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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