Kita Ku, Shizuoka Ken short-term rental listings & supply

Name: Kita Ku, Shizuoka Ken short-term rental supply data
Creator: AirDNA
License: https://www.airdna.co/terms

Updated August 5, 2026By The AirDNA Data Team

Kita Ku, Shizuoka Ken has 20 active short-term rental listings, tracked across Airbnb, Vrbo, and Booking.com.

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Total active listings

+11.1% YoY

Kita Ku, Shizuoka Ken short-term rental listings

Kita Ku has 20 active short-term rental listings as of July 2026, tracked across Airbnb, Vrbo, and Booking.com. Active supply is up 11.1% from July 2025 to July 2026. Here's how the market breaks down:

By property type: 65% entire homes, 35% private rooms.
By size: 50% 2-bedroom, 30% 1-bedroom, 10% 3-bedroom, 5% 4-bedroom, and 5% 5+ bedroom.
By channel: 60% Airbnb-only, 40% Vrbo-only.
By availability: 50% full-time (271–365), 25% part-time (91–180 nights), 15% most of year (181–270), and 10% seasonal (1–90 nights).
By minimum stay: 90% 30+ nights, 10% 2 nights.
By cancellation policy: 50% flexible, 50% moderate.

Rental demand score

Rental demand51
Seasonality62
Revenue growth100
Regulation48

Full Kita Ku market overview How Market Score is calculated

Analyst's take

Kita Ku's Rental Demand score: 51 out of 100.

Kita Ku's Rental Demand subscore is 51 out of 100, one of five inputs to its overall Market Score of 58.

Rental Demand combines two inputs: annual occupancy (29% in Kita Ku) and year-over-year listing growth (active supply up 11.1% from July 2025 to July 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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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 →