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Pond Eddy, New York short-term rental listings & supply

Updated By The AirDNA Data Team

Pond Eddy, New York has 44 active short-term rental listings, tracked across Airbnb, Vrbo, and Booking.com.

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Total active listings
44
-12.0% YoY
Most popular size
1BR
45.5% 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 →

Pond Eddy, New York short-term rental listings

Pond Eddy has 44 active short-term rental listings as of July 2026, tracked across Airbnb, Vrbo, and Booking.com. Active supply is down 12.0% from July 2025 to July 2026. Here's how the market breaks down:

  • By property type: 90.9% entire homes, 9.1% private rooms.
  • By size: 45.5% 1-bedroom, 20.5% 2-bedroom, 18.2% 3-bedroom, 11.4% 4-bedroom, and 4.5% 5+ bedroom.
  • By channel: 61.4% Airbnb-only, 31.8% cross-listed and 6.8% Vrbo-only.
  • By availability: 81.8% full-time (271–365), 9.1% most of year (181–270), 6.8% part-time (91–180 nights), and 2.3% seasonal (1–90 nights).
  • By minimum stay: 59.1% 30+ nights, 34.1% 2 nights, 4.5% 3 nights, and 2.3% 4–6 nights.
  • By cancellation policy: 75% moderate, 16.7% flexible and 8.3% strict.
58
Rental demand score
Full Pond Eddy market overview How Market Score is calculated
Analyst's take

Pond Eddy's Rental Demand score: 58 out of 100.

Pond Eddy's Rental Demand subscore is 58 out of 100, one of five inputs to its overall Market Score of 86.

Rental Demand combines two inputs: annual occupancy (32% in Pond Eddy) and year-over-year listing growth (active supply down 12.0% 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 Pond Eddy's active short-term rental supply has trended over the past year.

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

Listing mix

Four ways to slice Pond Eddy's 44 listings

Property type

Entire home leads at 90.9%

  • Entire home90.9%
  • Private room9.1%

Bedrooms

1BR leads at 45.5%

  • 1BR45.5%
  • 2BR20.5%
  • 3BR18.2%
  • 4BR11.4%
  • 5BR+4.5%

Channel

Airbnb only leads at 61.4%

  • Airbnb only61.4%
  • Vrbo only6.8%
  • Multi-platform31.8%

Availability

Full-time (271–365) leads at 81.8%

  • Seasonal (1–90 nights)2.3%
  • Part-time (91–180 nights)6.8%
  • Most of year (181–270)9.1%
  • Full-time (271–365)81.8%

Listings by minimum stay

Share of Pond Eddy active supply by host-set minimum stay

2 nights
34.1%
3 nights
4.5%
4–6 nights
2.3%
30+ nights
59.1%

Listings by cancellation policy

Share of Pond Eddy active supply by host cancellation policy

Flexible
16.7%
Moderate
75%
Strict
8.3%

This is the tip of the iceberg

Go deeper on Pond Eddy supply in the app.

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Pond Eddy market overview

The full Pond Eddy market: 44 listings, $25.5K average revenue, 32% occupancy, $297 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 Pond Eddy.

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Explore more markets

Other short-term rental markets in New York

Frequently asked

Common questions about Pond Eddy

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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