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Tulla Upper, Default short-term rental listings & supply

Updated By The AirDNA Data Team

Tulla Upper, Default has 82 active short-term rental listings, tracked across Airbnb, Vrbo, and Booking.com.

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Total active listings
82
-1.2% YoY
Most popular size
1BR
56.1% 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 →

Tulla Upper, Default short-term rental listings

Tulla Upper has 82 active short-term rental listings as of June 2026, tracked across Airbnb, Vrbo, and Booking.com. Active supply is down 1.2% from June 2025 to June 2026. Here's how the market breaks down:

  • By property type: 86.6% entire homes, 13.4% private rooms.
  • By size: 56.1% 1-bedroom, 15.9% 4-bedroom, 13.4% 2-bedroom, 12.2% 3-bedroom, and 2.4% 5+ bedroom.
  • By channel: 85.4% Airbnb-only, 12.2% cross-listed and 2.4% Vrbo-only.
  • By availability: 52.4% full-time (271–365), 20.7% most of year (181–270), 19.5% part-time (91–180 nights), and 7.3% seasonal (1–90 nights).
  • By minimum stay: 36.6% 2 nights, 32.9% 30+ nights, 17.1% 3 nights, 9.8% 4–6 nights, and 3.7% 7–29 nights.
  • By cancellation policy: 51.7% moderate, 37.9% flexible and 10.3% strict.
80
Rental demand score
Full Tulla Upper market overview How Market Score is calculated
Analyst's take

Tulla Upper's Rental Demand score: 80 out of 100.

Tulla Upper's Rental Demand subscore is 80 out of 100, one of five inputs to its overall Market Score of 61.

Rental Demand combines two inputs: annual occupancy (50% in Tulla Upper) and year-over-year listing growth (active supply down 1.2% from June 2025 to June 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 Tulla Upper's active short-term rental supply has trended over the past year.

Sep '25Nov '25Jan '26Mar '26May '26Jul '26
See Tulla Upper's month-by-month supply trend in the AirDNA app.

Listing mix

Four ways to slice Tulla Upper's 82 listings

Property type

Entire home leads at 86.6%

  • Entire home86.6%
  • Private room13.4%

Bedrooms

1BR leads at 56.1%

  • 1BR56.1%
  • 2BR13.4%
  • 3BR12.2%
  • 4BR15.9%
  • 5BR+2.4%

Channel

Airbnb only leads at 85.4%

  • Airbnb only85.4%
  • Vrbo only2.4%
  • Multi-platform12.2%

Availability

Full-time (271–365) leads at 52.4%

  • Seasonal (1–90 nights)7.3%
  • Part-time (91–180 nights)19.5%
  • Most of year (181–270)20.7%
  • Full-time (271–365)52.4%

Listings by minimum stay

Share of Tulla Upper active supply by host-set minimum stay

2 nights
36.6%
3 nights
17.1%
4–6 nights
9.8%
7–29 nights
3.7%
30+ nights
32.9%

Listings by cancellation policy

Share of Tulla Upper active supply by host cancellation policy

Flexible
37.9%
Moderate
51.7%
Strict
10.3%

This is the tip of the iceberg

Go deeper on Tulla Upper supply in the app.

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Explore more Tulla Upper data

Keep digging into Tulla Upper

Tulla Upper market overview

The full Tulla Upper market: 82 listings, $14.6K average revenue, 50% 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 Tulla Upper.

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Frequently asked

Common questions about Tulla Upper

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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