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S Chanf, Default short-term rental listings & supply

Updated By The AirDNA Data Team

S Chanf, Default has 19 active short-term rental listings, tracked across Airbnb, Vrbo, and Booking.com.

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Total active listings
19
+0.0% YoY
Most popular size
1BR
42.1% 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 →

S Chanf, Default short-term rental listings

S Chanf has 19 active short-term rental listings as of June 2026, tracked across Airbnb, Vrbo, and Booking.com. Active supply is up 0.0% from June 2025 to June 2026. Here's how the market breaks down:

  • By property type: 100% entire homes.
  • By size: 42.1% 1-bedroom, 26.3% 2-bedroom, 15.8% 3-bedroom, and 15.8% 4-bedroom.
  • By channel: 57.9% cross-listed, 21.1% Airbnb-only and 21.1% Vrbo-only.
  • By availability: 42.1% most of year (181–270), 21.1% part-time (91–180 nights), 21.1% full-time (271–365), and 15.8% seasonal (1–90 nights).
  • By minimum stay: 36.8% 4–6 nights, 26.3% 30+ nights, 21.1% 7–29 nights, and 15.8% 2 nights.
  • By cancellation policy: 66.7% moderate, 22.2% strict and 11.1% super strict.
63
Rental demand score
Full S Chanf market overview How Market Score is calculated
Analyst's take

S Chanf's Rental Demand score: 63 out of 100.

S Chanf's Rental Demand subscore is 63 out of 100, one of five inputs to its overall Market Score of 75.

Rental Demand combines two inputs: annual occupancy (54% in S Chanf) and year-over-year listing growth (active supply up 0.0% 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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  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 S Chanf's active short-term rental supply has trended over the past year.

Sep '25Nov '25Jan '26Mar '26May '26Jul '26
See S Chanf's month-by-month supply trend in the AirDNA app.

Listing mix

Four ways to slice S Chanf's 19 listings

Property type

Entire home leads at 100%

  • Entire home100%

Bedrooms

1BR leads at 42.1%

  • 1BR42.1%
  • 2BR26.3%
  • 3BR15.8%
  • 4BR15.8%

Channel

Multi-platform leads at 57.9%

  • Airbnb only21.1%
  • Vrbo only21.1%
  • Multi-platform57.9%

Availability

Most of year (181–270) leads at 42.1%

  • Seasonal (1–90 nights)15.8%
  • Part-time (91–180 nights)21.1%
  • Most of year (181–270)42.1%
  • Full-time (271–365)21.1%

Listings by minimum stay

Share of S Chanf active supply by host-set minimum stay

2 nights
15.8%
4–6 nights
36.8%
7–29 nights
21.1%
30+ nights
26.3%

Listings by cancellation policy

Share of S Chanf active supply by host cancellation policy

Moderate
66.7%
Strict
22.2%
Super strict
11.1%

This is the tip of the iceberg

Go deeper on S Chanf supply in the app.

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Explore more S Chanf data

Keep digging into S Chanf

S Chanf market overview

The full S Chanf market: 19 listings, $18.7K average revenue, 54% occupancy, $312 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 S Chanf.

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Frequently asked

Common questions about S Chanf

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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