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Alfred Station, New York short-term rental listings & supply

Updated By The AirDNA Data Team

Alfred Station, New York has 18 active short-term rental listings, tracked across Airbnb, Vrbo, and Booking.com.

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Total active listings
18
-5.3% YoY
Most popular size
1BR
61.1% 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 →

Alfred Station, New York short-term rental listings

Alfred Station has 18 active short-term rental listings as of July 2026, tracked across Airbnb, Vrbo, and Booking.com. Active supply is down 5.3% from July 2025 to July 2026. Here's how the market breaks down:

  • By property type: 77.8% entire homes, 22.2% private rooms.
  • By size: 61.1% 1-bedroom, 16.7% 2-bedroom, 11.1% 5+ bedroom, 5.6% 3-bedroom, and 5.6% 4-bedroom.
  • By channel: 77.8% Airbnb-only, 16.7% cross-listed and 5.6% Vrbo-only.
  • By availability: 72.2% full-time (271–365), 16.7% part-time (91–180 nights) and 11.1% most of year (181–270).
  • By minimum stay: 72.2% 30+ nights, 22.2% 2 nights and 5.6% 3 nights.
  • By cancellation policy: 57.1% flexible, 28.6% moderate and 14.3% strict.
87
Rental demand score
Full Alfred Station market overview How Market Score is calculated
Analyst's take

Alfred Station's Rental Demand score: 87 out of 100.

Alfred Station's Rental Demand subscore is 87 out of 100, one of five inputs to its overall Market Score of 96.

Rental Demand combines two inputs: annual occupancy (40% in Alfred Station) and year-over-year listing growth (active supply down 5.3% 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 Alfred Station's active short-term rental supply has trended over the past year.

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

Listing mix

Four ways to slice Alfred Station's 18 listings

Property type

Entire home leads at 77.8%

  • Entire home77.8%
  • Private room22.2%

Bedrooms

1BR leads at 61.1%

  • 1BR61.1%
  • 2BR16.7%
  • 3BR5.6%
  • 4BR5.6%
  • 5BR+11.1%

Channel

Airbnb only leads at 77.8%

  • Airbnb only77.8%
  • Vrbo only5.6%
  • Multi-platform16.7%

Availability

Full-time (271–365) leads at 72.2%

  • Part-time (91–180 nights)16.7%
  • Most of year (181–270)11.1%
  • Full-time (271–365)72.2%

Listings by minimum stay

Share of Alfred Station active supply by host-set minimum stay

2 nights
22.2%
3 nights
5.6%
30+ nights
72.2%

Listings by cancellation policy

Share of Alfred Station active supply by host cancellation policy

Flexible
57.1%
Moderate
28.6%
Strict
14.3%

This is the tip of the iceberg

Go deeper on Alfred Station supply in the app.

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Explore more Alfred Station data

Keep digging into Alfred Station

Alfred Station market overview

The full Alfred Station market: 18 listings, $11.3K average revenue, 40% occupancy, $131 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 Alfred Station.

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Explore more markets

Other short-term rental markets in New York

Frequently asked

Common questions about Alfred Station

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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