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Millers Creek, North Carolina short-term rental listings & supply

Updated By The AirDNA Data Team

Millers Creek, North Carolina has 21 active short-term rental listings, tracked across Airbnb, Vrbo, and Booking.com.

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Total active listings
21
-27.6% YoY
Most popular size
3BR
38.1% 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 →

Millers Creek, North Carolina short-term rental listings

Millers Creek has 21 active short-term rental listings as of July 2026, tracked across Airbnb, Vrbo, and Booking.com. Active supply is down 27.6% from July 2025 to July 2026. Here's how the market breaks down:

  • By property type: 100% entire homes.
  • By size: 38.1% 3-bedroom, 28.6% 2-bedroom, 19% 1-bedroom, and 14.3% 4-bedroom.
  • By channel: 52.4% cross-listed, 38.1% Airbnb-only and 9.5% Vrbo-only.
  • By availability: 42.9% full-time (271–365), 28.6% part-time (91–180 nights) and 28.6% most of year (181–270).
  • By minimum stay: 85.7% 2 nights, 9.5% 30+ nights and 4.8% 4–6 nights.
  • By cancellation policy: 40% strict, 30% flexible, 20% moderate, and 10% super strict.
52
Rental demand score
Full Millers Creek market overview How Market Score is calculated
Analyst's take

Millers Creek's Rental Demand score: 52 out of 100.

Millers Creek's Rental Demand subscore is 52 out of 100, one of five inputs to its overall Market Score of 50.

Rental Demand combines two inputs: annual occupancy (40% in Millers Creek) and year-over-year listing growth (active supply down 27.6% 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 Millers Creek's active short-term rental supply has trended over the past year.

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

Listing mix

Four ways to slice Millers Creek's 21 listings

Property type

Entire home leads at 100%

  • Entire home100%

Bedrooms

3BR leads at 38.1%

  • 1BR19%
  • 2BR28.6%
  • 3BR38.1%
  • 4BR14.3%

Channel

Multi-platform leads at 52.4%

  • Airbnb only38.1%
  • Vrbo only9.5%
  • Multi-platform52.4%

Availability

Full-time (271–365) leads at 42.9%

  • Part-time (91–180 nights)28.6%
  • Most of year (181–270)28.6%
  • Full-time (271–365)42.9%

Listings by minimum stay

Share of Millers Creek active supply by host-set minimum stay

2 nights
85.7%
4–6 nights
4.8%
30+ nights
9.5%

Listings by cancellation policy

Share of Millers Creek active supply by host cancellation policy

Flexible
30%
Moderate
20%
Strict
40%
Super strict
10%

This is the tip of the iceberg

Go deeper on Millers Creek supply in the app.

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Millers Creek market overview

The full Millers Creek market: 21 listings, $14.2K average revenue, 40% occupancy, $201 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 Millers Creek.

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Explore more markets

Other short-term rental markets in North Carolina

Frequently asked

Common questions about Millers Creek

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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