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Koshi City, Kumamoto Ken short-term rental listings & supply

Updated By The AirDNA Data Team

Koshi City, Kumamoto Ken has 32 active short-term rental listings, tracked across Airbnb, Vrbo, and Booking.com.

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Total active listings
32
+0.0% YoY
Most popular size
3BR
45.1% 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 →

Koshi City, Kumamoto Ken short-term rental listings

Koshi City has 32 active short-term rental listings as of August 2026, tracked across Airbnb, Vrbo, and Booking.com. Active supply is up 0.0% from August 2025 to August 2026. Here's how the market breaks down:

  • By property type: 100% entire homes.
  • By size: 45.1% 3-bedroom, 43.7% 4-bedroom, 5.6% 1-bedroom, 4.2% 5+ bedroom, and 1.4% 2-bedroom.
  • By channel: 54.1% cross-listed, 45.9% Airbnb-only.
  • By availability: 69% full-time (271–365), 22.5% part-time (91–180 nights), 7% most of year (181–270), and 1.4% seasonal (1–90 nights).
  • By minimum stay: 52.1% 2 nights, 46.5% 30+ nights and 1.4% 1 night.
  • By cancellation policy: 65.6% flexible, 28.1% strict and 6.3% moderate.
58
Rental demand score
Full Koshi City market overview How Market Score is calculated
Analyst's take

Koshi City's Rental Demand score: 58 out of 100.

Koshi City's Rental Demand subscore is 58 out of 100, one of five inputs to its overall Market Score of 73.

Rental Demand combines two inputs: annual occupancy (23% in Koshi City) and year-over-year listing growth (active supply up 0.0% from August 2025 to August 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 Koshi City's active short-term rental supply has trended over the past year.

May '26Jul '26Aug '26Sep '26Sep '26Sep '26
See Koshi City's month-by-month supply trend in the AirDNA app.

Listing mix

Four ways to slice Koshi City's 32 listings

Property type

Entire home leads at 100%

  • Entire home100%

Bedrooms

3BR leads at 45.1%

  • 1BR5.6%
  • 2BR1.4%
  • 3BR45.1%
  • 4BR43.7%
  • 5BR+4.2%

Channel

Multi-platform leads at 54.1%

  • Airbnb only45.9%
  • Multi-platform54.1%

Availability

Full-time (271–365) leads at 69%

  • Seasonal (1–90 nights)1.4%
  • Part-time (91–180 nights)22.5%
  • Most of year (181–270)7%
  • Full-time (271–365)69%

Listings by minimum stay

Share of Koshi City active supply by host-set minimum stay

1 night
1.4%
2 nights
52.1%
30+ nights
46.5%

Listings by cancellation policy

Share of Koshi City active supply by host cancellation policy

Flexible
65.6%
Moderate
6.3%
Strict
28.1%

This is the tip of the iceberg

Go deeper on Koshi City supply in the app.

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Explore more Koshi City data

Keep digging into Koshi City

Koshi City market overview

The full Koshi City market: 32 listings, $13.3K average revenue, 23% occupancy, $176 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 Koshi City.

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Explore more markets

Other short-term rental markets in Kumamoto Ken

Frequently asked

Common questions about Koshi City

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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