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Volgelsheim, Grand Est short-term rental listings & supply

Updated By The AirDNA Data Team

Volgelsheim, Grand Est has 16 active short-term rental listings, tracked across Airbnb, Vrbo, and Booking.com.

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Total active listings
16
+23.1% YoY
Most popular size
1BR
81.3% 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 →

Volgelsheim, Grand Est short-term rental listings

Volgelsheim has 16 active short-term rental listings as of July 2026, tracked across Airbnb, Vrbo, and Booking.com. Active supply is up 23.1% from July 2025 to July 2026. Here's how the market breaks down:

  • By property type: 100% entire homes.
  • By size: 81.3% 1-bedroom, 18.8% 3-bedroom.
  • By channel: 87.5% Airbnb-only, 12.5% cross-listed.
  • By availability: 75% full-time (271–365), 12.5% part-time (91–180 nights), 6.3% seasonal (1–90 nights), and 6.3% most of year (181–270).
  • By minimum stay: 43.8% 2 nights, 37.5% 30+ nights, 12.5% 4–6 nights, and 6.3% 3 nights.
  • By cancellation policy: 69.2% moderate, 30.8% flexible.
98
Rental demand score
Full Volgelsheim market overview How Market Score is calculated
Analyst's take

Volgelsheim's Rental Demand score: 98 out of 100.

Volgelsheim's Rental Demand subscore is 98 out of 100, one of five inputs to its overall Market Score of 79.

Rental Demand combines two inputs: annual occupancy (64% in Volgelsheim) and year-over-year listing growth (active supply up 23.1% 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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  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 Volgelsheim's active short-term rental supply has trended over the past year.

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

Listing mix

Four ways to slice Volgelsheim's 16 listings

Property type

Entire home leads at 100%

  • Entire home100%

Bedrooms

1BR leads at 81.3%

  • 1BR81.3%
  • 3BR18.8%

Channel

Airbnb only leads at 87.5%

  • Airbnb only87.5%
  • Multi-platform12.5%

Availability

Full-time (271–365) leads at 75%

  • Seasonal (1–90 nights)6.3%
  • Part-time (91–180 nights)12.5%
  • Most of year (181–270)6.3%
  • Full-time (271–365)75%

Listings by minimum stay

Share of Volgelsheim active supply by host-set minimum stay

2 nights
43.8%
3 nights
6.3%
4–6 nights
12.5%
30+ nights
37.5%

Listings by cancellation policy

Share of Volgelsheim active supply by host cancellation policy

Flexible
30.8%
Moderate
69.2%

This is the tip of the iceberg

Go deeper on Volgelsheim supply in the app.

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Explore more Volgelsheim data

Keep digging into Volgelsheim

Volgelsheim market overview

The full Volgelsheim market: 16 listings, $12.8K average revenue, 64% occupancy, $81 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 Volgelsheim.

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Explore more markets

Other short-term rental markets in Grand Est

Frequently asked

Common questions about Volgelsheim

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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