Spring Grove, Virginia Airbnb & short-term rental market data

Name: Spring Grove, Virginia short-term rental overview data
Creator: AirDNA
License: https://www.airdna.co/terms

Updated September 29, 2026By The AirDNA Data Team

Spring Grove, Virginia has 34 active short-term rental listings that earn an average of $41.1K per year, with 58% average occupancy and a $235 average daily rate.

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Spring Grove short-term rental market summary

The Spring Grove, Virginia Airbnb market at a glance.

Spring Grove's short-term rental market has 34 active listings as of August 2026. The average active listing earned $41.1K in revenue over the trailing twelve months. Listings were booked 58% of nights they were available at an average daily rate of $235. RevPAR (daily rate weighted by occupancy) was $136. From August 2025 to August 2026, revenue is up 26.1%, occupancy is down 0.3%, ADR is down 6.2%, RevPAR is down 4.3%, and active listings are up 47.8%.

AirDNA Market Score

Rental demand82
Seasonality70
Revenue growth54
Investability93
Regulation68

How Market Score is calculated

Analyst's take

Spring Grove's AirDNA Market Score: 83 out of 100.

Spring Grove, Virginia scores 83 out of 100 on AirDNA's Market Score, a 40-to-100 scale benchmarked against other short-term rental markets in the same country with at least 15 active listings.

The score combines 5 subscores, each computed from observed market data:

Rental demand (82): annual occupancy combined with year-over-year listing growth.
Seasonality (70): the percentage gap between the lowest and highest monthly average revenue over the past year (a smaller swing scores higher).
Revenue growth (54): the year-over-year change in RevPAR, counting only properties booked in both periods.
Investability (93): local home prices relative to what short-term rentals in the area earn.
Regulation (68): signals of short-term-rental rules inferred from host and property behavior.

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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2Apply filtersFilter by bedrooms, price tier, amenities, and reviews to reach properties that actually match yours.
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 →
Annual revenue: Annual revenue is the trailing-twelve-month earnings of a typical active listing before host expenses, including booked nightly rates plus cleaning and other guest fees.How AirDNA calculates revenue →
Occupancy: Occupancy is the share of available nights that get booked, averaged across active listings over the trailing 12 months. It measures real demand, not how many nights a host chooses to list.How AirDNA calculates occupancy →
Average daily rate (ADR): ADR is the average nightly price guests actually paid across booked nights in the trailing 12 months. Nights that didn't book are excluded.How AirDNA calculates ADR →
RevPAR: RevPAR (revenue per available rental) is occupancy multiplied by ADR. It captures both how often a listing books and what it charges, making it the truest measure of earning power per available night.What is RevPAR? →
Market Score: AirDNA's Market Score grades each market from 40 to 100 on short-term rental potential, weighing rental demand, revenue growth, seasonality, regulation, and investability. Markets are benchmarked against others in the same country.How Market Score is calculated →