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Pimbo, New Aquitaine short-term rental listings & supply

Updated By The AirDNA Data Team

Pimbo, New Aquitaine has 17 active short-term rental listings, tracked across Airbnb, Vrbo, and Booking.com.

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Total active listings
17
Across all channels
Most popular size
1BR
58.8% 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 →

Pimbo, New Aquitaine short-term rental listings

Pimbo has 17 active short-term rental listings as of November 2024, tracked across Airbnb, Vrbo, and Booking.com. Here's how the market breaks down:

  • By property type: 58.8% private rooms, 41.2% entire homes.
  • By size: 58.8% 1-bedroom, 23.5% 3-bedroom and 17.6% 2-bedroom.
  • By channel: 82.4% Airbnb-only, 11.8% Vrbo-only and 5.9% cross-listed.
  • By availability: 52.9% most of year (181–270), 17.6% part-time (91–180 nights), 17.6% full-time (271–365), and 11.8% seasonal (1–90 nights).
  • By minimum stay: 58.8% 30+ nights, 41.2% 2 nights.
  • By cancellation policy: 76.5% flexible, 23.5% moderate.
5
Rental demand score
Full Pimbo market overview How Market Score is calculated
Analyst's take

Pimbo's Rental Demand score: 5 out of 100.

Pimbo's Rental Demand subscore is 5 out of 100, one of five inputs to its overall Market Score of 0.

Rental Demand combines two inputs: annual occupancy (24% in Pimbo) 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:

  1. 1Narrow to a neighborhoodNeighborhood metrics give a far more accurate picture of the exact area you're considering.
  2. 2Apply filtersFilter by bedrooms, price tier, amenities, and reviews to reach properties that actually match yours.
  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 Pimbo's active short-term rental supply has trended over the past year.

JunAugOctDecFebApr
See Pimbo's month-by-month supply trend in the AirDNA app.

Listing mix

Four ways to slice Pimbo's 17 listings

Property type

Private room leads at 58.8%

  • Entire home41.2%
  • Private room58.8%

Bedrooms

1BR leads at 58.8%

  • 1BR58.8%
  • 2BR17.6%
  • 3BR23.5%

Channel

Airbnb only leads at 82.4%

  • Airbnb only82.4%
  • Vrbo only11.8%
  • Multi-platform5.9%

Availability

Most of year (181–270) leads at 52.9%

  • Seasonal (1–90 nights)11.8%
  • Part-time (91–180 nights)17.6%
  • Most of year (181–270)52.9%
  • Full-time (271–365)17.6%

Listings by minimum stay

Share of Pimbo active supply by host-set minimum stay

2 nights
41.2%
30+ nights
58.8%

Listings by cancellation policy

Share of Pimbo active supply by host cancellation policy

Flexible
76.5%
Moderate
23.5%

This is the tip of the iceberg

Go deeper on Pimbo supply in the app.

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Explore more Pimbo data

Keep digging into Pimbo

Pimbo market overview

The full Pimbo market: 17 listings, $6.8K average revenue, 24% occupancy, $95 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 Pimbo.

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Explore more markets

Other short-term rental markets in New Aquitaine

Frequently asked

Common questions about Pimbo

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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