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Chatillon La Borde, Île-de-France short-term rental listings & supply

Updated By The AirDNA Data Team

Chatillon La Borde, Île-de-France 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 →

Chatillon La Borde, Île-de-France short-term rental listings

Chatillon La Borde has 12 active short-term rental listings as of September 2024, tracked across Airbnb, Vrbo, and Booking.com. Here's how the market breaks down:

  • By property type: 66.7% private rooms, 33.3% entire homes.
  • By size: 58.3% 1-bedroom, 33.3% 5+ bedroom and 8.3% 4-bedroom.
  • By channel: 83.3% Airbnb-only, 8.3% Vrbo-only and 8.3% cross-listed.
  • By availability: 66.7% seasonal (1–90 nights), 16.7% full-time (271–365), 8.3% part-time (91–180 nights), and 8.3% most of year (181–270).
  • By minimum stay: 83.3% 30+ nights, 8.3% 2 nights and 8.3% 3 nights.
  • By cancellation policy: 58.3% flexible, 41.7% moderate.
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AirDNA Market Score
Full Chatillon La Borde market overview How Market Score is calculated
Analyst's take

Chatillon La Borde's Rental Demand score: 0 out of 100.

Chatillon La Borde's Rental Demand subscore is 0 out of 100, one of five inputs to its overall Market Score of 0.

Rental Demand combines two inputs: annual occupancy (78% in Chatillon La Borde) 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:

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  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 Chatillon La Borde's active short-term rental supply has trended over the past year.

JunAugOctDecFebApr
See Chatillon La Borde's month-by-month supply trend in the AirDNA app.

Listing mix

Four ways to slice Chatillon La Borde's 12 listings

Property type

Private room leads at 66.7%

  • Entire home33.3%
  • Private room66.7%

Bedrooms

1BR leads at 58.3%

  • 1BR58.3%
  • 4BR8.3%
  • 5BR+33.3%

Channel

Airbnb only leads at 83.3%

  • Airbnb only83.3%
  • Vrbo only8.3%
  • Multi-platform8.3%

Availability

Seasonal (1–90 nights) leads at 66.7%

  • Seasonal (1–90 nights)66.7%
  • Part-time (91–180 nights)8.3%
  • Most of year (181–270)8.3%
  • Full-time (271–365)16.7%

Listings by minimum stay

Share of Chatillon La Borde 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 Chatillon La Borde active supply by host cancellation policy

Flexible
58.3%
Moderate
41.7%

This is the tip of the iceberg

Go deeper on Chatillon La Borde supply in the app.

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Keep digging into Chatillon La Borde

Chatillon La Borde market overview

The full Chatillon La Borde market: 12 listings, $36.4K average revenue, 78% occupancy, $265 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 Chatillon La Borde.

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Explore more markets

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

Frequently asked

Common questions about Chatillon La Borde

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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