Tsuyama, Okayama Ken Airbnb & short-term rental market data

Name: Tsuyama, Okayama Ken short-term rental overview data
Creator: AirDNA
License: https://www.airdna.co/terms

Updated September 29, 2026By The AirDNA Data Team

Tsuyama, Okayama Ken has 12 active short-term rental listings that earn an average of $8.2K per year, with 27% average occupancy and a $98 average daily rate.

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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 →

Tsuyama short-term rental market summary

The Tsuyama, Okayama Ken Airbnb market at a glance.

Tsuyama's short-term rental market has 12 active listings as of August 2026. The average active listing earned $8.2K in revenue over the trailing twelve months. Listings were booked 27% of nights they were available at an average daily rate of $98. RevPAR (daily rate weighted by occupancy) was $26. From August 2025 to August 2026, revenue is up 30.7%, occupancy is down 4.9%, ADR is up 24.4%, RevPAR is up 18.1%, and active listings are down 50.0%.

AirDNA Market Score

How Market Score is calculated

Analyst's take

Tsuyama's AirDNA Market Score: 42 out of 100.

Tsuyama, Okayama Ken scores 42 out of 100 on AirDNA's Market Score, a 40-to-100 scale benchmarked against other short-term rental markets in the same country with at least 15 active listings.

The score combines 4 subscores, each computed from observed market data:

Rental demand (63): annual occupancy combined with year-over-year listing growth.
Seasonality (44): the percentage gap between the lowest and highest monthly average revenue over the past year (a smaller swing scores higher).
Revenue growth (48): the year-over-year change in RevPAR, counting only properties booked in both periods.
Regulation (59): signals of short-term-rental rules inferred from host and property behavior.

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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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 →
Annual revenue: Annual revenue is the trailing-twelve-month earnings of a typical active listing before host expenses, including booked nightly rates plus cleaning and other guest fees.How AirDNA calculates revenue →
Occupancy: Occupancy is the share of available nights that get booked, averaged across active listings over the trailing 12 months. It measures real demand, not how many nights a host chooses to list.How AirDNA calculates occupancy →
Average daily rate (ADR): ADR is the average nightly price guests actually paid across booked nights in the trailing 12 months. Nights that didn't book are excluded.How AirDNA calculates ADR →
RevPAR: RevPAR (revenue per available rental) is occupancy multiplied by ADR. It captures both how often a listing books and what it charges, making it the truest measure of earning power per available night.What is RevPAR? →
Market Score: AirDNA's Market Score grades each market from 40 to 100 on short-term rental potential, weighing rental demand, revenue growth, seasonality, regulation, and investability. Markets are benchmarked against others in the same country.How Market Score is calculated →