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Landelles Et Coupigny, Normandy short-term rental listings & supply

Updated By The AirDNA Data Team

Landelles Et Coupigny, Normandy has 7 active short-term rental listings, tracked across Airbnb, Vrbo, and Booking.com.

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Total active listings
7
-36.4% YoY
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 →

Landelles Et Coupigny, Normandy short-term rental listings

Landelles Et Coupigny has 7 active short-term rental listings as of September 2026, tracked across Airbnb, Vrbo, and Booking.com. Active supply is down 36.4% from September 2025 to September 2026. Here's how the market breaks down:

  • By property type: 100% entire homes.
  • By size: 33.3% 2-bedroom, 22.2% 1-bedroom, 22.2% 5+ bedroom, 11.1% 3-bedroom, and 11.1% 4-bedroom.
  • By channel: 50% cross-listed, 37.5% Airbnb-only and 12.5% Vrbo-only.
  • By availability: 55.6% full-time (271–365), 33.3% part-time (91–180 nights) and 11.1% most of year (181–270).
  • By minimum stay: 44.4% 3 nights, 33.3% 2 nights, 11.1% 4–6 nights, and 11.1% 30+ nights.
  • By cancellation policy: 66.7% moderate, 33.3% flexible.
72
Rental demand score
Full Landelles Et Coupigny market overview How Market Score is calculated
Analyst's take

Landelles Et Coupigny's Rental Demand score: 72 out of 100.

Landelles Et Coupigny's Rental Demand subscore is 72 out of 100, one of five inputs to its overall Market Score of 45.

Rental Demand combines two inputs: annual occupancy (46% in Landelles Et Coupigny) and year-over-year listing growth (active supply down 36.4% from September 2025 to September 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.

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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 Landelles Et Coupigny's active short-term rental supply has trended over the past year.

Jul '26Aug '26Sep '26Sep '26Sep '26Oct '26
See Landelles Et Coupigny's month-by-month supply trend in the AirDNA app.

Listing mix

Four ways to slice Landelles Et Coupigny's 7 listings

Property type

Entire home leads at 100%

  • Entire home100%

Bedrooms

2BR leads at 33.3%

  • 1BR22.2%
  • 2BR33.3%
  • 3BR11.1%
  • 4BR11.1%
  • 5BR+22.2%

Channel

Multi-platform leads at 50%

  • Airbnb only37.5%
  • Vrbo only12.5%
  • Multi-platform50%

Availability

Full-time (271–365) leads at 55.6%

  • Part-time (91–180 nights)33.3%
  • Most of year (181–270)11.1%
  • Full-time (271–365)55.6%

Listings by minimum stay

Share of Landelles Et Coupigny active supply by host-set minimum stay

2 nights
33.3%
3 nights
44.4%
4–6 nights
11.1%
30+ nights
11.1%

Listings by cancellation policy

Share of Landelles Et Coupigny active supply by host cancellation policy

Flexible
33.3%
Moderate
66.7%

This is the tip of the iceberg

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Explore more Landelles Et Coupigny data

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Landelles Et Coupigny market overview

The full Landelles Et Coupigny market: 7 listings, $15.9K average revenue, 46% occupancy, $158 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 Landelles Et Coupigny.

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Explore more markets

Other short-term rental markets in Normandy

Frequently asked

Common questions about Landelles Et Coupigny

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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