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Cormeilles En Parisis, Île-de-France short-term rental listings & supply

Updated By The AirDNA Data Team

Cormeilles En Parisis, Île-de-France has 68 active short-term rental listings, tracked across Airbnb, Vrbo, and Booking.com.

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Total active listings
68
-42.9% YoY
Most popular size
1BR
63.5% 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 →

Cormeilles En Parisis, Île-de-France short-term rental listings

Cormeilles En Parisis has 68 active short-term rental listings as of August 2026, tracked across Airbnb, Vrbo, and Booking.com. Active supply is down 42.9% from August 2025 to August 2026. Here's how the market breaks down:

  • By property type: 85.6% entire homes, 14.4% private rooms.
  • By size: 63.5% 1-bedroom, 26% 2-bedroom, 5.8% 4-bedroom, 3.8% 3-bedroom, and 1% 5+ bedroom.
  • By channel: 87.1% Airbnb-only, 11.9% cross-listed and 1% Vrbo-only.
  • By availability: 68.3% full-time (271–365), 19.2% part-time (91–180 nights), 11.5% most of year (181–270), and 1% seasonal (1–90 nights).
  • By minimum stay: 37.5% 30+ nights, 30.8% 2 nights, 18.3% 3 nights, 10.6% 4–6 nights, 1.9% 7–29 nights, and 1% 1 night.
  • By cancellation policy: 55.3% moderate, 42.1% flexible and 2.6% strict.
72
Rental demand score
Full Cormeilles En Parisis market overview How Market Score is calculated
Analyst's take

Cormeilles En Parisis's Rental Demand score: 72 out of 100.

Cormeilles En Parisis's Rental Demand subscore is 72 out of 100, one of five inputs to its overall Market Score of 97.

Rental Demand combines two inputs: annual occupancy (58% in Cormeilles En Parisis) and year-over-year listing growth (active supply down 42.9% from August 2025 to August 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 Cormeilles En Parisis's active short-term rental supply has trended over the past year.

May '26Jul '26Aug '26Sep '26Sep '26Sep '26
See Cormeilles En Parisis's month-by-month supply trend in the AirDNA app.

Listing mix

Four ways to slice Cormeilles En Parisis's 68 listings

Property type

Entire home leads at 85.6%

  • Entire home85.6%
  • Private room14.4%

Bedrooms

1BR leads at 63.5%

  • 1BR63.5%
  • 2BR26%
  • 3BR3.8%
  • 4BR5.8%
  • 5BR+1%

Channel

Airbnb only leads at 87.1%

  • Airbnb only87.1%
  • Vrbo only1%
  • Multi-platform11.9%

Availability

Full-time (271–365) leads at 68.3%

  • Seasonal (1–90 nights)1%
  • Part-time (91–180 nights)19.2%
  • Most of year (181–270)11.5%
  • Full-time (271–365)68.3%

Listings by minimum stay

Share of Cormeilles En Parisis active supply by host-set minimum stay

1 night
1%
2 nights
30.8%
3 nights
18.3%
4–6 nights
10.6%
7–29 nights
1.9%
30+ nights
37.5%

Listings by cancellation policy

Share of Cormeilles En Parisis active supply by host cancellation policy

Flexible
42.1%
Moderate
55.3%
Strict
2.6%

This is the tip of the iceberg

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Cormeilles En Parisis market overview

The full Cormeilles En Parisis market: 68 listings, $18.4K average revenue, 58% occupancy, $95 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 Cormeilles En Parisis.

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Explore more markets

Other short-term rental markets in Île-de-France

Frequently asked

Common questions about Cormeilles En Parisis

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  • Custom comp sets
  • Neighborhood data
  • Deep filters
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  • For Sale by yield
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