Kotohira Cho, Kagawa Ken short-term rental listings & supply

Name: Kotohira Cho, Kagawa Ken short-term rental supply data
Creator: AirDNA
License: https://www.airdna.co/terms

Updated September 29, 2026By The AirDNA Data Team

Kotohira Cho, Kagawa Ken has 26 active short-term rental listings, tracked across Airbnb, Vrbo, and Booking.com.

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Total active listings

-18.8% YoY

Kotohira Cho, Kagawa Ken short-term rental listings

Kotohira Cho has 26 active short-term rental listings as of August 2026, tracked across Airbnb, Vrbo, and Booking.com. Active supply is down 18.8% from August 2025 to August 2026. Here's how the market breaks down:

By property type: 84.4% entire homes, 15.6% private rooms.
By size: 40.6% 1-bedroom, 21.9% 3-bedroom, 18.8% 2-bedroom, 12.5% 4-bedroom, and 6.3% 5+ bedroom.
By channel: 88.9% Airbnb-only, 11.1% Vrbo-only.
By availability: 46.9% full-time (271–365), 25% most of year (181–270), 18.8% part-time (91–180 nights), and 9.4% seasonal (1–90 nights).
By minimum stay: 87.5% 30+ nights, 12.5% 2 nights.
By cancellation policy: 75% moderate, 25% flexible.

Rental demand score

Rental demand91
Seasonality63
Revenue growth99
Regulation66

Full Kotohira Cho market overview How Market Score is calculated

Analyst's take

Kotohira Cho's Rental Demand score: 91 out of 100.

Kotohira Cho's Rental Demand subscore is 91 out of 100, one of five inputs to its overall Market Score of 91.

Rental Demand combines two inputs: annual occupancy (43% in Kotohira Cho) and year-over-year listing growth (active supply down 18.8% 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.

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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 →