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Stephens City, Virginia short-term rental listings & supply

Updated By The AirDNA Data Team

Stephens City, Virginia has 26 active short-term rental listings, tracked across Airbnb, Vrbo, and Booking.com.

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Total active listings
26
+0.0% YoY
Most popular size
1BR
53.8% 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 →

Stephens City, Virginia short-term rental listings

Stephens City has 26 active short-term rental listings as of July 2026, tracked across Airbnb, Vrbo, and Booking.com. Active supply is up 0.0% from July 2025 to July 2026. Here's how the market breaks down:

  • By property type: 65.4% entire homes, 34.6% private rooms.
  • By size: 53.8% 1-bedroom, 26.9% 3-bedroom, 15.4% 2-bedroom, and 3.8% 4-bedroom.
  • By channel: 65.4% Airbnb-only, 26.9% cross-listed and 7.7% Vrbo-only.
  • By availability: 42.3% full-time (271–365), 30.8% most of year (181–270), 19.2% part-time (91–180 nights), and 7.7% seasonal (1–90 nights).
  • By minimum stay: 57.7% 30+ nights, 26.9% 2 nights, 11.5% 3 nights, and 3.8% 4–6 nights.
  • By cancellation policy: 66.7% moderate, 33.3% flexible.
73
Rental demand score
Full Stephens City market overview How Market Score is calculated
Analyst's take

Stephens City's Rental Demand score: 73 out of 100.

Stephens City's Rental Demand subscore is 73 out of 100, one of five inputs to its overall Market Score of 48.

Rental Demand combines two inputs: annual occupancy (53% in Stephens City) and year-over-year listing growth (active supply up 0.0% 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.

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

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

Listing mix

Four ways to slice Stephens City's 26 listings

Property type

Entire home leads at 65.4%

  • Entire home65.4%
  • Private room34.6%

Bedrooms

1BR leads at 53.8%

  • 1BR53.8%
  • 2BR15.4%
  • 3BR26.9%
  • 4BR3.8%

Channel

Airbnb only leads at 65.4%

  • Airbnb only65.4%
  • Vrbo only7.7%
  • Multi-platform26.9%

Availability

Full-time (271–365) leads at 42.3%

  • Seasonal (1–90 nights)7.7%
  • Part-time (91–180 nights)19.2%
  • Most of year (181–270)30.8%
  • Full-time (271–365)42.3%

Listings by minimum stay

Share of Stephens City active supply by host-set minimum stay

2 nights
26.9%
3 nights
11.5%
4–6 nights
3.8%
30+ nights
57.7%

Listings by cancellation policy

Share of Stephens City active supply by host cancellation policy

Flexible
33.3%
Moderate
66.7%

This is the tip of the iceberg

Go deeper on Stephens City supply in the app.

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Explore more Stephens City data

Keep digging into Stephens City

Stephens City market overview

The full Stephens City market: 26 listings, $10.6K average revenue, 53% occupancy, $151 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 Stephens City.

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Explore more markets

Other short-term rental markets in Virginia

Frequently asked

Common questions about Stephens City

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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