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Chute Saint Philippe, Quebec short-term rental listings & supply

Updated By The AirDNA Data Team

Chute Saint Philippe, Quebec has 40 active short-term rental listings, tracked across Airbnb, Vrbo, and Booking.com.

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Total active listings
40
+2.6% YoY
Most popular size
2BR
42.5% 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 →

Chute Saint Philippe, Quebec short-term rental listings

Chute Saint Philippe has 40 active short-term rental listings as of July 2026, tracked across Airbnb, Vrbo, and Booking.com. Active supply is up 2.6% from July 2025 to July 2026. Here's how the market breaks down:

  • By property type: 100% entire homes.
  • By size: 42.5% 2-bedroom, 25% 3-bedroom, 17.5% 4-bedroom, 12.5% 5+ bedroom, and 2.5% 1-bedroom.
  • By channel: 82.5% Airbnb-only, 17.5% cross-listed.
  • By availability: 77.5% full-time (271–365), 10% part-time (91–180 nights), 7.5% seasonal (1–90 nights), and 5% most of year (181–270).
  • By minimum stay: 87.5% 2 nights, 5% 3 nights, 5% 30+ nights, and 2.5% 4–6 nights.
  • By cancellation policy: 60% strict, 20% flexible, 16% moderate, and 4% super strict.
72
Rental demand score
Full Chute Saint Philippe market overview How Market Score is calculated
Analyst's take

Chute Saint Philippe's Rental Demand score: 72 out of 100.

Chute Saint Philippe's Rental Demand subscore is 72 out of 100, one of five inputs to its overall Market Score of 48.

Rental Demand combines two inputs: annual occupancy (45% in Chute Saint Philippe) and year-over-year listing growth (active supply up 2.6% 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 Chute Saint Philippe's active short-term rental supply has trended over the past year.

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

Listing mix

Four ways to slice Chute Saint Philippe's 40 listings

Property type

Entire home leads at 100%

  • Entire home100%

Bedrooms

2BR leads at 42.5%

  • 1BR2.5%
  • 2BR42.5%
  • 3BR25%
  • 4BR17.5%
  • 5BR+12.5%

Channel

Airbnb only leads at 82.5%

  • Airbnb only82.5%
  • Multi-platform17.5%

Availability

Full-time (271–365) leads at 77.5%

  • Seasonal (1–90 nights)7.5%
  • Part-time (91–180 nights)10%
  • Most of year (181–270)5%
  • Full-time (271–365)77.5%

Listings by minimum stay

Share of Chute Saint Philippe active supply by host-set minimum stay

2 nights
87.5%
3 nights
5%
4–6 nights
2.5%
30+ nights
5%

Listings by cancellation policy

Share of Chute Saint Philippe active supply by host cancellation policy

Flexible
20%
Moderate
16%
Strict
60%
Super strict
4%

This is the tip of the iceberg

Go deeper on Chute Saint Philippe supply in the app.

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Keep digging into Chute Saint Philippe

Chute Saint Philippe market overview

The full Chute Saint Philippe market: 40 listings, $23.6K average revenue, 45% occupancy, $234 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 Chute Saint Philippe.

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Frequently asked

Common questions about Chute Saint Philippe

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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