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Champagnolles, New Aquitaine short-term rental listings & supply

Updated By The AirDNA Data Team

Champagnolles, New Aquitaine has 13 active short-term rental listings, tracked across Airbnb, Vrbo, and Booking.com.

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Total active listings
13
-13.3% YoY
Most popular size
1BR
46.2% 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 →

Champagnolles, New Aquitaine short-term rental listings

Champagnolles has 13 active short-term rental listings as of July 2026, tracked across Airbnb, Vrbo, and Booking.com. Active supply is down 13.3% from July 2025 to July 2026. Here's how the market breaks down:

  • By property type: 76.9% entire homes, 23.1% private rooms.
  • By size: 46.2% 1-bedroom, 23.1% 3-bedroom, 15.4% 2-bedroom, 7.7% 4-bedroom, and 7.7% 5+ bedroom.
  • By channel: 76.9% Airbnb-only, 23.1% cross-listed.
  • By availability: 53.8% full-time (271–365), 30.8% part-time (91–180 nights), 7.7% seasonal (1–90 nights), and 7.7% most of year (181–270).
  • By minimum stay: 38.5% 2 nights, 23.1% 3 nights, 23.1% 30+ nights, and 15.4% 4–6 nights.
  • By cancellation policy: 80% flexible, 10% moderate and 10% strict.
85
Rental demand score
Full Champagnolles market overview How Market Score is calculated
Analyst's take

Champagnolles's Rental Demand score: 85 out of 100.

Champagnolles's Rental Demand subscore is 85 out of 100, one of five inputs to its overall Market Score of 65.

Rental Demand combines two inputs: annual occupancy (56% in Champagnolles) and year-over-year listing growth (active supply down 13.3% from July 2025 to July 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 Champagnolles's active short-term rental supply has trended over the past year.

Oct '25Dec '25Apr '26Jun '26Aug '26
See Champagnolles's month-by-month supply trend in the AirDNA app.

Listing mix

Four ways to slice Champagnolles's 13 listings

Property type

Entire home leads at 76.9%

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

Bedrooms

1BR leads at 46.2%

  • 1BR46.2%
  • 2BR15.4%
  • 3BR23.1%
  • 4BR7.7%
  • 5BR+7.7%

Channel

Airbnb only leads at 76.9%

  • Airbnb only76.9%
  • Multi-platform23.1%

Availability

Full-time (271–365) leads at 53.8%

  • Seasonal (1–90 nights)7.7%
  • Part-time (91–180 nights)30.8%
  • Most of year (181–270)7.7%
  • Full-time (271–365)53.8%

Listings by minimum stay

Share of Champagnolles active supply by host-set minimum stay

2 nights
38.5%
3 nights
23.1%
4–6 nights
15.4%
30+ nights
23.1%

Listings by cancellation policy

Share of Champagnolles active supply by host cancellation policy

Flexible
80%
Moderate
10%
Strict
10%

This is the tip of the iceberg

Go deeper on Champagnolles supply in the app.

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Explore more Champagnolles data

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Champagnolles market overview

The full Champagnolles market: 13 listings, $13.2K average revenue, 56% occupancy, $192 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 Champagnolles.

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Explore more markets

Other short-term rental markets in New Aquitaine

Frequently asked

Common questions about Champagnolles

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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