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Seneca Rocks, West Virginia short-term rental listings & supply

Updated By The AirDNA Data Team

Seneca Rocks, West Virginia has 31 active short-term rental listings, tracked across Airbnb, Vrbo, and Booking.com.

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Total active listings
31
-11.4% YoY
Most popular size
1BR
58.1% 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 →

Seneca Rocks, West Virginia short-term rental listings

Seneca Rocks has 31 active short-term rental listings as of July 2026, tracked across Airbnb, Vrbo, and Booking.com. Active supply is down 11.4% from July 2025 to July 2026. Here's how the market breaks down:

  • By property type: 90.3% entire homes, 9.7% private rooms.
  • By size: 58.1% 1-bedroom, 25.8% 3-bedroom, 6.5% 2-bedroom, 6.5% 4-bedroom, and 3.2% 5+ bedroom.
  • By channel: 67.7% Airbnb-only, 29% cross-listed and 3.2% Vrbo-only.
  • By availability: 67.7% full-time (271–365), 12.9% seasonal (1–90 nights), 12.9% most of year (181–270), and 6.5% part-time (91–180 nights).
  • By minimum stay: 54.8% 30+ nights, 45.2% 2 nights.
  • By cancellation policy: 69.6% moderate, 21.7% flexible, 4.3% strict, and 4.3% super strict.
85
Rental demand score
Full Seneca Rocks market overview How Market Score is calculated
Analyst's take

Seneca Rocks's Rental Demand score: 85 out of 100.

Seneca Rocks's Rental Demand subscore is 85 out of 100, one of five inputs to its overall Market Score of 100.

Rental Demand combines two inputs: annual occupancy (49% in Seneca Rocks) and year-over-year listing growth (active supply down 11.4% 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 Seneca Rocks's active short-term rental supply has trended over the past year.

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

Listing mix

Four ways to slice Seneca Rocks's 31 listings

Property type

Entire home leads at 90.3%

  • Entire home90.3%
  • Private room9.7%

Bedrooms

1BR leads at 58.1%

  • 1BR58.1%
  • 2BR6.5%
  • 3BR25.8%
  • 4BR6.5%
  • 5BR+3.2%

Channel

Airbnb only leads at 67.7%

  • Airbnb only67.7%
  • Vrbo only3.2%
  • Multi-platform29%

Availability

Full-time (271–365) leads at 67.7%

  • Seasonal (1–90 nights)12.9%
  • Part-time (91–180 nights)6.5%
  • Most of year (181–270)12.9%
  • Full-time (271–365)67.7%

Listings by minimum stay

Share of Seneca Rocks active supply by host-set minimum stay

2 nights
45.2%
30+ nights
54.8%

Listings by cancellation policy

Share of Seneca Rocks active supply by host cancellation policy

Flexible
21.7%
Moderate
69.6%
Strict
4.3%
Super strict
4.3%

This is the tip of the iceberg

Go deeper on Seneca Rocks supply in the app.

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Explore more Seneca Rocks data

Keep digging into Seneca Rocks

Seneca Rocks market overview

The full Seneca Rocks market: 31 listings, $21.2K average revenue, 49% occupancy, $157 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 Seneca Rocks.

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Explore more markets

Other short-term rental markets in West Virginia

Frequently asked

Common questions about Seneca Rocks

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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