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Isles Les Villenoy, Île-de-France short-term rental listings & supply

Updated By The AirDNA Data Team

Isles Les Villenoy, Île-de-France has 13 active short-term rental listings, tracked across Airbnb, Vrbo, and Booking.com.

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Total active listings
13
+30.0% YoY
Most popular size
1BR
69.2% 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 →

Isles Les Villenoy, Île-de-France short-term rental listings

Isles Les Villenoy has 13 active short-term rental listings as of June 2026, tracked across Airbnb, Vrbo, and Booking.com. Active supply is up 30.0% from June 2025 to June 2026. Here's how the market breaks down:

  • By property type: 76.9% entire homes, 23.1% private rooms.
  • By size: 69.2% 1-bedroom, 15.4% 2-bedroom and 15.4% 3-bedroom.
  • By channel: 84.6% Airbnb-only, 15.4% cross-listed.
  • By availability: 76.9% full-time (271–365), 15.4% seasonal (1–90 nights) and 7.7% part-time (91–180 nights).
  • By minimum stay: 46.2% 2 nights, 46.2% 30+ nights and 7.7% 3 nights.
  • By cancellation policy: 60% flexible, 40% moderate.
70
Rental demand score
Full Isles Les Villenoy market overview How Market Score is calculated
Analyst's take

Isles Les Villenoy's Rental Demand score: 70 out of 100.

Isles Les Villenoy's Rental Demand subscore is 70 out of 100, one of five inputs to its overall Market Score of 58.

Rental Demand combines two inputs: annual occupancy (50% in Isles Les Villenoy) and year-over-year listing growth (active supply up 30.0% from June 2025 to June 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 Isles Les Villenoy's active short-term rental supply has trended over the past year.

Apr '26May '26Jun '26Jul '26
See Isles Les Villenoy's month-by-month supply trend in the AirDNA app.

Listing mix

Four ways to slice Isles Les Villenoy's 13 listings

Property type

Entire home leads at 76.9%

  • Entire home76.9%
  • Private room23.1%

Bedrooms

1BR leads at 69.2%

  • 1BR69.2%
  • 2BR15.4%
  • 3BR15.4%

Channel

Airbnb only leads at 84.6%

  • Airbnb only84.6%
  • Multi-platform15.4%

Availability

Full-time (271–365) leads at 76.9%

  • Seasonal (1–90 nights)15.4%
  • Part-time (91–180 nights)7.7%
  • Full-time (271–365)76.9%

Listings by minimum stay

Share of Isles Les Villenoy active supply by host-set minimum stay

2 nights
46.2%
3 nights
7.7%
30+ nights
46.2%

Listings by cancellation policy

Share of Isles Les Villenoy active supply by host cancellation policy

Flexible
60%
Moderate
40%

This is the tip of the iceberg

Go deeper on Isles Les Villenoy supply in the app.

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Explore more Isles Les Villenoy data

Keep digging into Isles Les Villenoy

Isles Les Villenoy market overview

The full Isles Les Villenoy market: 13 listings, $13K average revenue, 50% occupancy, $90 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 Isles Les Villenoy.

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Explore more markets

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

Frequently asked

Common questions about Isles Les Villenoy

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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