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Kenly, North Carolina short-term rental listings & supply

Updated By The AirDNA Data Team

Kenly, North Carolina has 19 active short-term rental listings, tracked across Airbnb, Vrbo, and Booking.com.

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Total active listings
19
+11.8% YoY
Most popular size
1BR
89.5% 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 →

Kenly, North Carolina short-term rental listings

Kenly has 19 active short-term rental listings as of November 2025, tracked across Airbnb, Vrbo, and Booking.com. Active supply is up 11.8% from November 2024 to November 2025. Here's how the market breaks down:

  • By property type: 63.2% entire homes, 31.6% private rooms and 5.3% shared rooms.
  • By size: 89.5% 1-bedroom, 10.5% 3-bedroom.
  • By channel: 89.5% Airbnb-only, 10.5% cross-listed.
  • By availability: 36.8% full-time (271–365), 26.3% most of year (181–270), 21.1% part-time (91–180 nights), and 15.8% seasonal (1–90 nights).
  • By minimum stay: 84.2% 30+ nights, 5.3% 2 nights, 5.3% 3 nights, and 5.3% 4–6 nights.
  • By cancellation policy: 57.1% flexible, 42.9% moderate.
75
Rental demand score
Full Kenly market overview How Market Score is calculated
Analyst's take

Kenly's Rental Demand score: 75 out of 100.

Kenly's Rental Demand subscore is 75 out of 100, one of five inputs to its overall Market Score of 93.

Rental Demand combines two inputs: annual occupancy (48% in Kenly) and year-over-year listing growth (active supply up 11.8% from November 2024 to November 2025).

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

Sep '25Oct '25Nov '25Dec '25
See Kenly's month-by-month supply trend in the AirDNA app.

Listing mix

Four ways to slice Kenly's 19 listings

Property type

Entire home leads at 63.2%

  • Entire home63.2%
  • Private room31.6%
  • Shared room5.3%

Bedrooms

1BR leads at 89.5%

  • 1BR89.5%
  • 3BR10.5%

Channel

Airbnb only leads at 89.5%

  • Airbnb only89.5%
  • Multi-platform10.5%

Availability

Full-time (271–365) leads at 36.8%

  • Seasonal (1–90 nights)15.8%
  • Part-time (91–180 nights)21.1%
  • Most of year (181–270)26.3%
  • Full-time (271–365)36.8%

Listings by minimum stay

Share of Kenly active supply by host-set minimum stay

2 nights
5.3%
3 nights
5.3%
4–6 nights
5.3%
30+ nights
84.2%

Listings by cancellation policy

Share of Kenly active supply by host cancellation policy

Flexible
57.1%
Moderate
42.9%

This is the tip of the iceberg

Go deeper on Kenly supply in the app.

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Explore more Kenly data

Keep digging into Kenly

Kenly market overview

The full Kenly market: 19 listings, $8.7K average revenue, 48% occupancy, $79 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 Kenly.

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Explore more markets

Other short-term rental markets in North Carolina

Frequently asked

Common questions about Kenly

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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