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Saint Claud, Nouvelle-Aquitaine short-term rental listings & supply

Updated By The AirDNA Data Team

Saint Claud, Nouvelle-Aquitaine has 6 active short-term rental listings, tracked across Airbnb, Vrbo, and Booking.com.

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Total active listings
6
Across all channels
Most popular size
1BR
72.2% 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 →

Saint Claud, Nouvelle-Aquitaine short-term rental listings

Saint Claud has 6 active short-term rental listings as of August 2026, tracked across Airbnb, Vrbo, and Booking.com. Here's how the market breaks down:

  • By property type: 55.6% private rooms, 44.4% entire homes.
  • By size: 72.2% 1-bedroom, 16.7% 3-bedroom, 5.6% 2-bedroom, and 5.6% 4-bedroom.
  • By channel: 94.1% Airbnb-only, 5.9% Vrbo-only.
  • By availability: 38.9% part-time (91–180 nights), 27.8% most of year (181–270), 16.7% seasonal (1–90 nights), and 16.7% full-time (271–365).
  • By minimum stay: 66.7% 30+ nights, 22.2% 2 nights and 11.1% 1 night.
  • By cancellation policy: 66.7% flexible, 22.2% moderate and 11.1% strict.
47
Rental demand score
Full Saint Claud market overview How Market Score is calculated
Analyst's take

Saint Claud's Rental Demand score: 47 out of 100.

Saint Claud's Rental Demand subscore is 47 out of 100, one of five inputs to its overall Market Score of 0.

Rental Demand combines two inputs: annual occupancy (39% in Saint Claud) 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 Saint Claud's active short-term rental supply has trended over the past year.

Jul '26Aug '26Sep '26Sep '26Sep '26
See Saint Claud's month-by-month supply trend in the AirDNA app.

Listing mix

Four ways to slice Saint Claud's 6 listings

Property type

Private room leads at 55.6%

  • Entire home44.4%
  • Private room55.6%

Bedrooms

1BR leads at 72.2%

  • 1BR72.2%
  • 2BR5.6%
  • 3BR16.7%
  • 4BR5.6%

Channel

Airbnb only leads at 94.1%

  • Airbnb only94.1%
  • Vrbo only5.9%

Availability

Part-time (91–180 nights) leads at 38.9%

  • Seasonal (1–90 nights)16.7%
  • Part-time (91–180 nights)38.9%
  • Most of year (181–270)27.8%
  • Full-time (271–365)16.7%

Listings by minimum stay

Share of Saint Claud active supply by host-set minimum stay

1 night
11.1%
2 nights
22.2%
30+ nights
66.7%

Listings by cancellation policy

Share of Saint Claud active supply by host cancellation policy

Flexible
66.7%
Moderate
22.2%
Strict
11.1%

This is the tip of the iceberg

Go deeper on Saint Claud supply in the app.

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Keep digging into Saint Claud

Saint Claud market overview

The full Saint Claud market: 6 listings, $11.6K average revenue, 39% occupancy, $82 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 Saint Claud.

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Explore more markets

Other short-term rental markets in Nouvelle-Aquitaine

Frequently asked

Common questions about Saint Claud

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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