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Jinfeng Township, Default short-term rental listings & supply

Updated By The AirDNA Data Team

Jinfeng Township, Default has 13 active short-term rental listings, tracked across Airbnb, Vrbo, and Booking.com.

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Total active listings
13
Across all channels
Most popular size
1BR
76.9% 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 →

Jinfeng Township, Default short-term rental listings

Jinfeng Township has 13 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: 53.8% private rooms, 30.8% shared rooms and 15.4% entire homes.
  • By size: 76.9% 1-bedroom, 15.4% 2-bedroom and 7.7% 3-bedroom.
  • By channel: 100% Airbnb-only.
  • By availability: 53.8% seasonal (1–90 nights), 38.5% full-time (271–365) and 7.7% part-time (91–180 nights).
  • By minimum stay: 100% 30+ nights.
  • By cancellation policy: 69.2% flexible, 23.1% moderate and 7.7% strict.
12
Rental demand score
Full Jinfeng Township market overview How Market Score is calculated
Analyst's take

Jinfeng Township's Rental Demand score: 12 out of 100.

Jinfeng Township's Rental Demand subscore is 12 out of 100, one of five inputs to its overall Market Score of 15.

Rental Demand combines two inputs: annual occupancy (18% in Jinfeng 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 Jinfeng Township's active short-term rental supply has trended over the past year.

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

Listing mix

Four ways to slice Jinfeng Township's 13 listings

Property type

Private room leads at 53.8%

  • Entire home15.4%
  • Private room53.8%
  • Shared room30.8%

Bedrooms

1BR leads at 76.9%

  • 1BR76.9%
  • 2BR15.4%
  • 3BR7.7%

Channel

Airbnb only leads at 100%

  • Airbnb only100%

Availability

Seasonal (1–90 nights) leads at 53.8%

  • Seasonal (1–90 nights)53.8%
  • Part-time (91–180 nights)7.7%
  • Full-time (271–365)38.5%

Listings by minimum stay

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

30+ nights
100%

Listings by cancellation policy

Share of Jinfeng Township active supply by host cancellation policy

Flexible
69.2%
Moderate
23.1%
Strict
7.7%

This is the tip of the iceberg

Go deeper on Jinfeng Township supply in the app.

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Explore more Jinfeng Township data

Keep digging into Jinfeng Township

Jinfeng Township market overview

The full Jinfeng Township market: 13 listings, $971.4 average revenue, 18% occupancy, $43 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 Jinfeng Township.

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Frequently asked

Common questions about Jinfeng 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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