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Borden Carleton, Prince Edward Island short-term rental listings & supply

Updated By The AirDNA Data Team

Borden Carleton, Prince Edward Island has 13 active short-term rental listings, tracked across Airbnb, Vrbo, and Booking.com.

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Total active listings
13
+0.0% YoY
Most popular size
2BR
53.8% 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 →

Borden Carleton, Prince Edward Island short-term rental listings

Borden Carleton has 13 active short-term rental listings as of July 2026, tracked across Airbnb, Vrbo, and Booking.com. Active supply is up 0.0% from July 2025 to July 2026. Here's how the market breaks down:

  • By property type: 100% entire homes.
  • By size: 53.8% 2-bedroom, 30.8% 3-bedroom and 15.4% 1-bedroom.
  • By channel: 61.5% Airbnb-only, 23.1% cross-listed and 15.4% Vrbo-only.
  • By availability: 46.2% part-time (91–180 nights), 23.1% seasonal (1–90 nights), 23.1% full-time (271–365), and 7.7% most of year (181–270).
  • By minimum stay: 23.1% 2 nights, 23.1% 4–6 nights, 23.1% 7–29 nights, 23.1% 30+ nights, and 7.7% 3 nights.
  • By cancellation policy: 80% moderate, 20% strict.
70
Rental demand score
Full Borden Carleton market overview How Market Score is calculated
Analyst's take

Borden Carleton's Rental Demand score: 70 out of 100.

Borden Carleton's Rental Demand subscore is 70 out of 100, one of five inputs to its overall Market Score of 31.

Rental Demand combines two inputs: annual occupancy (74% in Borden Carleton) and year-over-year listing growth (active supply up 0.0% 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 Borden Carleton's active short-term rental supply has trended over the past year.

Sep '25Oct '25Jun '26Jul '26Aug '26
See Borden Carleton's month-by-month supply trend in the AirDNA app.

Listing mix

Four ways to slice Borden Carleton's 13 listings

Property type

Entire home leads at 100%

  • Entire home100%

Bedrooms

2BR leads at 53.8%

  • 1BR15.4%
  • 2BR53.8%
  • 3BR30.8%

Channel

Airbnb only leads at 61.5%

  • Airbnb only61.5%
  • Vrbo only15.4%
  • Multi-platform23.1%

Availability

Part-time (91–180 nights) leads at 46.2%

  • Seasonal (1–90 nights)23.1%
  • Part-time (91–180 nights)46.2%
  • Most of year (181–270)7.7%
  • Full-time (271–365)23.1%

Listings by minimum stay

Share of Borden Carleton active supply by host-set minimum stay

2 nights
23.1%
3 nights
7.7%
4–6 nights
23.1%
7–29 nights
23.1%
30+ nights
23.1%

Listings by cancellation policy

Share of Borden Carleton active supply by host cancellation policy

Moderate
80%
Strict
20%

This is the tip of the iceberg

Go deeper on Borden Carleton supply in the app.

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Keep digging into Borden Carleton

Borden Carleton market overview

The full Borden Carleton market: 13 listings, $13K average revenue, 74% occupancy, $170 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 Borden Carleton.

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Frequently asked

Common questions about Borden Carleton

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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