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Whitney Point, New York short-term rental listings & supply

Updated By The AirDNA Data Team

Whitney Point, New York has 16 active short-term rental listings, tracked across Airbnb, Vrbo, and Booking.com.

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Total active listings
16
-11.1% YoY
Most popular size
1BR
50% 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 →

Whitney Point, New York short-term rental listings

Whitney Point has 16 active short-term rental listings as of July 2026, tracked across Airbnb, Vrbo, and Booking.com. Active supply is down 11.1% from July 2025 to July 2026. Here's how the market breaks down:

  • By property type: 93.8% entire homes, 6.3% private rooms.
  • By size: 50% 1-bedroom, 31.3% 2-bedroom, 12.5% 3-bedroom, and 6.3% 5+ bedroom.
  • By channel: 68.8% Airbnb-only, 25% cross-listed and 6.3% Vrbo-only.
  • By availability: 37.5% most of year (181–270), 31.3% full-time (271–365), 18.8% part-time (91–180 nights), and 12.5% seasonal (1–90 nights).
  • By minimum stay: 68.8% 30+ nights, 31.3% 2 nights.
  • By cancellation policy: 50% flexible, 50% moderate.
74
Rental demand score
Full Whitney Point market overview How Market Score is calculated
Analyst's take

Whitney Point's Rental Demand score: 74 out of 100.

Whitney Point's Rental Demand subscore is 74 out of 100, one of five inputs to its overall Market Score of 0.

Rental Demand combines two inputs: annual occupancy (48% in Whitney Point) and year-over-year listing growth (active supply down 11.1% 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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  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 Whitney Point's active short-term rental supply has trended over the past year.

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

Listing mix

Four ways to slice Whitney Point's 16 listings

Property type

Entire home leads at 93.8%

  • Entire home93.8%
  • Private room6.3%

Bedrooms

1BR leads at 50%

  • 1BR50%
  • 2BR31.3%
  • 3BR12.5%
  • 5BR+6.3%

Channel

Airbnb only leads at 68.8%

  • Airbnb only68.8%
  • Vrbo only6.3%
  • Multi-platform25%

Availability

Most of year (181–270) leads at 37.5%

  • Seasonal (1–90 nights)12.5%
  • Part-time (91–180 nights)18.8%
  • Most of year (181–270)37.5%
  • Full-time (271–365)31.3%

Listings by minimum stay

Share of Whitney Point active supply by host-set minimum stay

2 nights
31.3%
30+ nights
68.8%

Listings by cancellation policy

Share of Whitney Point active supply by host cancellation policy

Flexible
50%
Moderate
50%

This is the tip of the iceberg

Go deeper on Whitney Point supply in the app.

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Keep digging into Whitney Point

Whitney Point market overview

The full Whitney Point market: 16 listings, $10.8K average revenue, 48% occupancy, $123 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 Whitney Point.

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Explore more markets

Other short-term rental markets in New York

Frequently asked

Common questions about Whitney Point

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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