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Port En Bessin Huppain, Normandy short-term rental listings & supply

Updated By The AirDNA Data Team

Port En Bessin Huppain, Normandy has 167 active short-term rental listings, tracked across Airbnb, Vrbo, and Booking.com.

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Total active listings
167
-6.2% YoY
Most popular size
1BR
32.3% 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 →

Port En Bessin Huppain, Normandy short-term rental listings

Port En Bessin Huppain has 167 active short-term rental listings as of July 2026, tracked across Airbnb, Vrbo, and Booking.com. Active supply is down 6.2% from July 2025 to July 2026. Here's how the market breaks down:

  • By property type: 96.4% entire homes, 3.6% private rooms.
  • By size: 32.3% 1-bedroom, 31.7% 2-bedroom, 25.7% 3-bedroom, 8.4% 4-bedroom, and 1.8% 5+ bedroom.
  • By channel: 55.1% Airbnb-only, 35.9% cross-listed and 9% Vrbo-only.
  • By availability: 74.9% full-time (271–365), 8.4% seasonal (1–90 nights), 8.4% part-time (91–180 nights), and 8.4% most of year (181–270).
  • By minimum stay: 44.9% 2 nights, 23.4% 3 nights, 19.2% 30+ nights, 6.6% 4–6 nights, 5.4% 7–29 nights, and 0.6% 1 night.
  • By cancellation policy: 44.1% moderate, 31.2% flexible, 22.6% strict, 1.1% super strict, and 1.1% no refund.
77
Rental demand score
Full Port En Bessin Huppain market overview How Market Score is calculated
Analyst's take

Port En Bessin Huppain's Rental Demand score: 77 out of 100.

Port En Bessin Huppain's Rental Demand subscore is 77 out of 100, one of five inputs to its overall Market Score of 78.

Rental Demand combines two inputs: annual occupancy (51% in Port En Bessin Huppain) and year-over-year listing growth (active supply down 6.2% 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.

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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 Port En Bessin Huppain's active short-term rental supply has trended over the past year.

Oct '25Dec '25Feb '26Apr '26Jun '26Aug '26
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Listing mix

Four ways to slice Port En Bessin Huppain's 167 listings

Property type

Entire home leads at 96.4%

  • Entire home96.4%
  • Private room3.6%

Bedrooms

1BR leads at 32.3%

  • 1BR32.3%
  • 2BR31.7%
  • 3BR25.7%
  • 4BR8.4%
  • 5BR+1.8%

Channel

Airbnb only leads at 55.1%

  • Airbnb only55.1%
  • Vrbo only9%
  • Multi-platform35.9%

Availability

Full-time (271–365) leads at 74.9%

  • Seasonal (1–90 nights)8.4%
  • Part-time (91–180 nights)8.4%
  • Most of year (181–270)8.4%
  • Full-time (271–365)74.9%

Listings by minimum stay

Share of Port En Bessin Huppain active supply by host-set minimum stay

1 night
0.6%
2 nights
44.9%
3 nights
23.4%
4–6 nights
6.6%
7–29 nights
5.4%
30+ nights
19.2%

Listings by cancellation policy

Share of Port En Bessin Huppain active supply by host cancellation policy

Flexible
31.2%
Moderate
44.1%
Strict
22.6%
Super strict
1.1%
No refund
1.1%

This is the tip of the iceberg

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Port En Bessin Huppain market overview

The full Port En Bessin Huppain market: 167 listings, $18.8K average revenue, 51% occupancy, $166 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 Port En Bessin Huppain.

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Explore more markets

Other short-term rental markets in Normandy

Frequently asked

Common questions about Port En Bessin Huppain

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  • Custom comp sets
  • Neighborhood data
  • Deep filters
  • Heat maps
  • For Sale by yield
  • Export the data
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