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Xinfeng Township, Default short-term rental listings & supply

Updated By The AirDNA Data Team

Xinfeng Township, Default has 12 active short-term rental listings, tracked across Airbnb, Vrbo, and Booking.com.

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Total active listings
12
Across all channels
Most popular size
1BR
83.3% 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 →

Xinfeng Township, Default short-term rental listings

Xinfeng Township has 12 active short-term rental listings as of June 2026, tracked across Airbnb, Vrbo, and Booking.com. Here's how the market breaks down:

  • By property type: 41.7% shared rooms, 33.3% private rooms and 25% entire homes.
  • By size: 83.3% 1-bedroom, 16.7% 3-bedroom.
  • By channel: 100% Airbnb-only.
  • By availability: 75% seasonal (1–90 nights), 16.7% part-time (91–180 nights) and 8.3% full-time (271–365).
  • By minimum stay: 83.3% 30+ nights, 16.7% 7–29 nights.
  • By cancellation policy: 58.3% moderate, 41.7% flexible.
30
Rental demand score
Full Xinfeng Township market overview How Market Score is calculated
Analyst's take

Xinfeng Township's Rental Demand score: 30 out of 100.

Xinfeng Township's Rental Demand subscore is 30 out of 100, one of five inputs to its overall Market Score of 7.

Rental Demand combines two inputs: annual occupancy (13% in Xinfeng Township) and year-over-year listing growth.

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:

  1. 1Narrow to a neighborhoodNeighborhood metrics give a far more accurate picture of the exact area you're considering.
  2. 2Apply filtersFilter by bedrooms, price tier, amenities, and reviews to reach properties that actually match yours.
  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 Xinfeng Township's active short-term rental supply has trended over the past year.

JunAugOctDecFebApr
See Xinfeng Township's month-by-month supply trend in the AirDNA app.

Listing mix

Four ways to slice Xinfeng Township's 12 listings

Property type

Shared room leads at 41.7%

  • Entire home25%
  • Private room33.3%
  • Shared room41.7%

Bedrooms

1BR leads at 83.3%

  • 1BR83.3%
  • 3BR16.7%

Channel

Airbnb only leads at 100%

  • Airbnb only100%

Availability

Seasonal (1–90 nights) leads at 75%

  • Seasonal (1–90 nights)75%
  • Part-time (91–180 nights)16.7%
  • Full-time (271–365)8.3%

Listings by minimum stay

Share of Xinfeng Township active supply by host-set minimum stay

7–29 nights
16.7%
30+ nights
83.3%

Listings by cancellation policy

Share of Xinfeng Township active supply by host cancellation policy

Flexible
41.7%
Moderate
58.3%

This is the tip of the iceberg

Go deeper on Xinfeng Township supply in the app.

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Explore more Xinfeng Township data

Keep digging into Xinfeng Township

Xinfeng Township market overview

The full Xinfeng Township market: 12 listings, $698.1 average revenue, 13% occupancy, $34 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 Xinfeng Township.

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Frequently asked

Common questions about Xinfeng Township

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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