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Le Rousset Marizy, Burgundy-Franche-Comté short-term rental listings & supply

Updated By The AirDNA Data Team

Le Rousset Marizy, Burgundy-Franche-Comté has 11 active short-term rental listings, tracked across Airbnb, Vrbo, and Booking.com.

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Total active listings
11
Across all channels
Most popular size
1BR
47.1% 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 →

Le Rousset Marizy, Burgundy-Franche-Comté short-term rental listings

Le Rousset Marizy has 11 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: 100% entire homes.
  • By size: 47.1% 1-bedroom, 29.4% 2-bedroom, 17.6% 3-bedroom, and 5.9% 5+ bedroom.
  • By channel: 85.7% Airbnb-only, 14.3% cross-listed.
  • By availability: 41.2% part-time (91–180 nights), 29.4% full-time (271–365), 17.6% most of year (181–270), and 11.8% seasonal (1–90 nights).
  • By minimum stay: 52.9% 30+ nights, 23.5% 2 nights, 17.6% 3 nights, and 5.9% 4–6 nights.
  • By cancellation policy: 56.3% moderate, 37.5% flexible and 6.3% super strict.
23
Rental demand score
Full Le Rousset Marizy market overview How Market Score is calculated
Analyst's take

Le Rousset Marizy's Rental Demand score: 23 out of 100.

Le Rousset Marizy's Rental Demand subscore is 23 out of 100, one of five inputs to its overall Market Score of 10.

Rental Demand combines two inputs: annual occupancy (45% in Le Rousset Marizy) 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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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 Le Rousset Marizy's active short-term rental supply has trended over the past year.

May '26Jul '26Aug '26Sep '26Sep '26Sep '26
See Le Rousset Marizy's month-by-month supply trend in the AirDNA app.

Listing mix

Four ways to slice Le Rousset Marizy's 11 listings

Property type

Entire home leads at 100%

  • Entire home100%

Bedrooms

1BR leads at 47.1%

  • 1BR47.1%
  • 2BR29.4%
  • 3BR17.6%
  • 5BR+5.9%

Channel

Airbnb only leads at 85.7%

  • Airbnb only85.7%
  • Multi-platform14.3%

Availability

Part-time (91–180 nights) leads at 41.2%

  • Seasonal (1–90 nights)11.8%
  • Part-time (91–180 nights)41.2%
  • Most of year (181–270)17.6%
  • Full-time (271–365)29.4%

Listings by minimum stay

Share of Le Rousset Marizy active supply by host-set minimum stay

2 nights
23.5%
3 nights
17.6%
4–6 nights
5.9%
30+ nights
52.9%

Listings by cancellation policy

Share of Le Rousset Marizy active supply by host cancellation policy

Flexible
37.5%
Moderate
56.3%
Super strict
6.3%

This is the tip of the iceberg

Go deeper on Le Rousset Marizy supply in the app.

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Explore more Le Rousset Marizy data

Keep digging into Le Rousset Marizy

Le Rousset Marizy market overview

The full Le Rousset Marizy market: 11 listings, $12.4K average revenue, 45% occupancy, $100 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 Le Rousset Marizy.

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Explore more markets

Other short-term rental markets in Burgundy-Franche-Comté

Frequently asked

Common questions about Le Rousset Marizy

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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