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Chengdu Shi, Sichuan short-term rental listings & supply

Updated By The AirDNA Data Team

Chengdu Shi, Sichuan has 19 active short-term rental listings, tracked across Airbnb, Vrbo, and Booking.com.

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Total active listings
19
Across all channels
Most popular size
1BR
52.6% 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 →

Chengdu Shi, Sichuan short-term rental listings

Chengdu Shi has 19 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: 94.7% entire homes, 5.3% private rooms.
  • By size: 52.6% 1-bedroom, 26.3% 3-bedroom and 21.1% 2-bedroom.
  • By channel: 89.5% Airbnb-only, 10.5% Vrbo-only.
  • By availability: 52.6% full-time (271–365), 31.6% part-time (91–180 nights), 10.5% seasonal (1–90 nights), and 5.3% most of year (181–270).
  • By minimum stay: 100% 30+ nights.
  • By cancellation policy: 70.6% moderate, 23.5% strict and 5.9% flexible.
42
Rental demand score
Full Chengdu Shi market overview How Market Score is calculated
Analyst's take

Chengdu Shi's Rental Demand score: 42 out of 100.

Chengdu Shi's Rental Demand subscore is 42 out of 100, one of five inputs to its overall Market Score of 0.

Rental Demand combines two inputs: annual occupancy (27% in Chengdu Shi) 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 Chengdu Shi's active short-term rental supply has trended over the past year.

May '26Jun '26Jul '26
See Chengdu Shi's month-by-month supply trend in the AirDNA app.

Listing mix

Four ways to slice Chengdu Shi's 19 listings

Property type

Entire home leads at 94.7%

  • Entire home94.7%
  • Private room5.3%

Bedrooms

1BR leads at 52.6%

  • 1BR52.6%
  • 2BR21.1%
  • 3BR26.3%

Channel

Airbnb only leads at 89.5%

  • Airbnb only89.5%
  • Vrbo only10.5%

Availability

Full-time (271–365) leads at 52.6%

  • Seasonal (1–90 nights)10.5%
  • Part-time (91–180 nights)31.6%
  • Most of year (181–270)5.3%
  • Full-time (271–365)52.6%

Listings by minimum stay

Share of Chengdu Shi active supply by host-set minimum stay

30+ nights
100%

Listings by cancellation policy

Share of Chengdu Shi active supply by host cancellation policy

Flexible
5.9%
Moderate
70.6%
Strict
23.5%

This is the tip of the iceberg

Go deeper on Chengdu Shi supply in the app.

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Explore more Chengdu Shi data

Keep digging into Chengdu Shi

Chengdu Shi market overview

The full Chengdu Shi market: 19 listings, $1.6K average revenue, 27% occupancy, $30 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 Chengdu Shi.

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Frequently asked

Common questions about Chengdu Shi

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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