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Gordon, Wisconsin short-term rental listings & supply

Updated By The AirDNA Data Team

Gordon, Wisconsin has 31 active short-term rental listings, tracked across Airbnb, Vrbo, and Booking.com.

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Total active listings
31
-3.1% YoY
Most popular size
3BR
35.5% 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 →

Gordon, Wisconsin short-term rental listings

Gordon has 31 active short-term rental listings as of July 2026, tracked across Airbnb, Vrbo, and Booking.com. Active supply is down 3.1% from July 2025 to July 2026. Here's how the market breaks down:

  • By property type: 100% entire homes.
  • By size: 35.5% 3-bedroom, 29% 2-bedroom, 19.4% 4-bedroom, and 16.1% 1-bedroom.
  • By channel: 58.1% Airbnb-only, 32.3% cross-listed and 9.7% Vrbo-only.
  • By availability: 48.4% full-time (271–365), 22.6% most of year (181–270), 16.1% seasonal (1–90 nights), and 12.9% part-time (91–180 nights).
  • By minimum stay: 54.8% 2 nights, 22.6% 3 nights, 12.9% 4–6 nights, and 9.7% 30+ nights.
  • By cancellation policy: 56.3% flexible, 37.5% moderate and 6.3% strict.
60
Rental demand score
Full Gordon market overview How Market Score is calculated
Analyst's take

Gordon's Rental Demand score: 60 out of 100.

Gordon's Rental Demand subscore is 60 out of 100, one of five inputs to its overall Market Score of 49.

Rental Demand combines two inputs: annual occupancy (48% in Gordon) and year-over-year listing growth (active supply down 3.1% 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 Gordon's active short-term rental supply has trended over the past year.

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

Listing mix

Four ways to slice Gordon's 31 listings

Property type

Entire home leads at 100%

  • Entire home100%

Bedrooms

3BR leads at 35.5%

  • 1BR16.1%
  • 2BR29%
  • 3BR35.5%
  • 4BR19.4%

Channel

Airbnb only leads at 58.1%

  • Airbnb only58.1%
  • Vrbo only9.7%
  • Multi-platform32.3%

Availability

Full-time (271–365) leads at 48.4%

  • Seasonal (1–90 nights)16.1%
  • Part-time (91–180 nights)12.9%
  • Most of year (181–270)22.6%
  • Full-time (271–365)48.4%

Listings by minimum stay

Share of Gordon active supply by host-set minimum stay

2 nights
54.8%
3 nights
22.6%
4–6 nights
12.9%
30+ nights
9.7%

Listings by cancellation policy

Share of Gordon active supply by host cancellation policy

Flexible
56.3%
Moderate
37.5%
Strict
6.3%

This is the tip of the iceberg

Go deeper on Gordon supply in the app.

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Keep digging into Gordon

Gordon market overview

The full Gordon market: 31 listings, $14K average revenue, 48% occupancy, $233 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 Gordon.

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Explore more markets

Other short-term rental markets in Wisconsin

Frequently asked

Common questions about Gordon

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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