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Averill Park, New York short-term rental listings & supply

Updated By The AirDNA Data Team

Averill Park, New York has 32 active short-term rental listings, tracked across Airbnb, Vrbo, and Booking.com.

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Total active listings
32
+23.1% YoY
Most popular size
2BR
31.3% 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 →

Averill Park, New York short-term rental listings

Averill Park has 32 active short-term rental listings as of July 2026, tracked across Airbnb, Vrbo, and Booking.com. Active supply is up 23.1% from July 2025 to July 2026. Here's how the market breaks down:

  • By property type: 96.9% entire homes, 3.1% private rooms.
  • By size: 31.3% 2-bedroom, 28.1% 3-bedroom, 18.8% 1-bedroom, 18.8% 4-bedroom, and 3.1% 5+ bedroom.
  • By channel: 53.1% cross-listed, 37.5% Airbnb-only and 9.4% Vrbo-only.
  • By availability: 71.9% full-time (271–365), 12.5% most of year (181–270), 9.4% part-time (91–180 nights), and 6.3% seasonal (1–90 nights).
  • By minimum stay: 71.9% 2 nights, 12.5% 3 nights, 9.4% 30+ nights, and 6.3% 7–29 nights.
  • By cancellation policy: 71.4% moderate, 14.3% flexible and 14.3% strict.
71
Rental demand score
Full Averill Park market overview How Market Score is calculated
Analyst's take

Averill Park's Rental Demand score: 71 out of 100.

Averill Park's Rental Demand subscore is 71 out of 100, one of five inputs to its overall Market Score of 50.

Rental Demand combines two inputs: annual occupancy (42% in Averill Park) and year-over-year listing growth (active supply up 23.1% 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 Averill Park's active short-term rental supply has trended over the past year.

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

Listing mix

Four ways to slice Averill Park's 32 listings

Property type

Entire home leads at 96.9%

  • Entire home96.9%
  • Private room3.1%

Bedrooms

2BR leads at 31.3%

  • 1BR18.8%
  • 2BR31.3%
  • 3BR28.1%
  • 4BR18.8%
  • 5BR+3.1%

Channel

Multi-platform leads at 53.1%

  • Airbnb only37.5%
  • Vrbo only9.4%
  • Multi-platform53.1%

Availability

Full-time (271–365) leads at 71.9%

  • Seasonal (1–90 nights)6.3%
  • Part-time (91–180 nights)9.4%
  • Most of year (181–270)12.5%
  • Full-time (271–365)71.9%

Listings by minimum stay

Share of Averill Park active supply by host-set minimum stay

2 nights
71.9%
3 nights
12.5%
7–29 nights
6.3%
30+ nights
9.4%

Listings by cancellation policy

Share of Averill Park active supply by host cancellation policy

Flexible
14.3%
Moderate
71.4%
Strict
14.3%

This is the tip of the iceberg

Go deeper on Averill Park supply in the app.

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Explore more Averill Park data

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Averill Park market overview

The full Averill Park market: 32 listings, $26.1K average revenue, 42% occupancy, $346 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 Averill Park.

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Explore more markets

Other short-term rental markets in New York

Frequently asked

Common questions about Averill Park

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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