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Stahlstown, Pennsylvania short-term rental listings & supply

Updated By The AirDNA Data Team

Stahlstown, Pennsylvania has 13 active short-term rental listings, tracked across Airbnb, Vrbo, and Booking.com.

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Total active listings
13
+0.0% YoY
Most popular size
3BR
30.8% 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 →

Stahlstown, Pennsylvania short-term rental listings

Stahlstown has 13 active short-term rental listings as of September 2025, tracked across Airbnb, Vrbo, and Booking.com. Active supply is up 0.0% from September 2024 to September 2025. Here's how the market breaks down:

  • By property type: 100% entire homes.
  • By size: 30.8% 3-bedroom, 23.1% 5+ bedroom, 15.4% 1-bedroom, 15.4% 2-bedroom, and 15.4% 4-bedroom.
  • By channel: 46.2% Airbnb-only, 46.2% Vrbo-only and 7.7% cross-listed.
  • By availability: 38.5% full-time (271–365), 30.8% seasonal (1–90 nights) and 30.8% most of year (181–270).
  • By minimum stay: 53.8% 30+ nights, 30.8% 2 nights and 15.4% 3 nights.
  • By cancellation policy: 75% moderate, 16.7% flexible and 8.3% strict.
12
Rental demand score
Full Stahlstown market overview How Market Score is calculated
Analyst's take

Stahlstown's Rental Demand score: 12 out of 100.

Stahlstown's Rental Demand subscore is 12 out of 100, one of five inputs to its overall Market Score of 42.

Rental Demand combines two inputs: annual occupancy (27% in Stahlstown) and year-over-year listing growth (active supply up 0.0% from September 2024 to September 2025).

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 Stahlstown's active short-term rental supply has trended over the past year.

JunAugOctDecFebApr
See Stahlstown's month-by-month supply trend in the AirDNA app.

Listing mix

Four ways to slice Stahlstown's 13 listings

Property type

Entire home leads at 100%

  • Entire home100%

Bedrooms

3BR leads at 30.8%

  • 1BR15.4%
  • 2BR15.4%
  • 3BR30.8%
  • 4BR15.4%
  • 5BR+23.1%

Channel

Airbnb only leads at 46.2%

  • Airbnb only46.2%
  • Vrbo only46.2%
  • Multi-platform7.7%

Availability

Full-time (271–365) leads at 38.5%

  • Seasonal (1–90 nights)30.8%
  • Most of year (181–270)30.8%
  • Full-time (271–365)38.5%

Listings by minimum stay

Share of Stahlstown active supply by host-set minimum stay

2 nights
30.8%
3 nights
15.4%
30+ nights
53.8%

Listings by cancellation policy

Share of Stahlstown active supply by host cancellation policy

Flexible
16.7%
Moderate
75%
Strict
8.3%

This is the tip of the iceberg

Go deeper on Stahlstown supply in the app.

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Stahlstown market overview

The full Stahlstown market: 13 listings, $24.9K average revenue, 27% occupancy, $340 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 Stahlstown.

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Explore more markets

Other short-term rental markets in Pennsylvania

Frequently asked

Common questions about Stahlstown

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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