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Nakagawa Ku, Aichi Ken short-term rental listings & supply

Updated By The AirDNA Data Team

Nakagawa Ku, Aichi Ken has 32 active short-term rental listings, tracked across Airbnb, Vrbo, and Booking.com.

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Total active listings
32
+100.0% YoY
Most popular size
2BR
40.6% 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 →

Nakagawa Ku, Aichi Ken short-term rental listings

Nakagawa Ku has 32 active short-term rental listings as of July 2026, tracked across Airbnb, Vrbo, and Booking.com. Active supply is up 100.0% from July 2025 to July 2026. Here's how the market breaks down:

  • By property type: 90.6% entire homes, 9.4% private rooms.
  • By size: 40.6% 2-bedroom, 31.3% 1-bedroom, 15.6% 3-bedroom, 9.4% 5+ bedroom, and 3.1% 4-bedroom.
  • By channel: 100% Airbnb-only.
  • By availability: 43.8% full-time (271–365), 21.9% most of year (181–270), 18.8% part-time (91–180 nights), and 15.6% seasonal (1–90 nights).
  • By minimum stay: 59.4% 30+ nights, 31.3% 2 nights, 6.3% 3 nights, and 3.1% 7–29 nights.
  • By cancellation policy: 28.6% flexible, 28.6% moderate, 28.6% strict, and 14.3% super strict.
90
Rental demand score
Full Nakagawa Ku market overview How Market Score is calculated
Analyst's take

Nakagawa Ku's Rental Demand score: 90 out of 100.

Nakagawa Ku's Rental Demand subscore is 90 out of 100, one of five inputs to its overall Market Score of 95.

Rental Demand combines two inputs: annual occupancy (49% in Nakagawa Ku) and year-over-year listing growth (active supply up 100.0% 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 →
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Active listings over timeIllustrative preview

How Nakagawa Ku's active short-term rental supply has trended over the past year.

Oct '25Dec '25Feb '26Apr '26Jun '26Aug '26
See Nakagawa Ku's month-by-month supply trend in the AirDNA app.

Listing mix

Four ways to slice Nakagawa Ku's 32 listings

Property type

Entire home leads at 90.6%

  • Entire home90.6%
  • Private room9.4%

Bedrooms

2BR leads at 40.6%

  • 1BR31.3%
  • 2BR40.6%
  • 3BR15.6%
  • 4BR3.1%
  • 5BR+9.4%

Channel

Airbnb only leads at 100%

  • Airbnb only100%

Availability

Full-time (271–365) leads at 43.8%

  • Seasonal (1–90 nights)15.6%
  • Part-time (91–180 nights)18.8%
  • Most of year (181–270)21.9%
  • Full-time (271–365)43.8%

Listings by minimum stay

Share of Nakagawa Ku active supply by host-set minimum stay

2 nights
31.3%
3 nights
6.3%
7–29 nights
3.1%
30+ nights
59.4%

Listings by cancellation policy

Share of Nakagawa Ku active supply by host cancellation policy

Flexible
28.6%
Moderate
28.6%
Strict
28.6%
Super strict
14.3%

This is the tip of the iceberg

Go deeper on Nakagawa Ku supply in the app.

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Explore more Nakagawa Ku data

Keep digging into Nakagawa Ku

Nakagawa Ku market overview

The full Nakagawa Ku market: 32 listings, $14.7K average revenue, 49% occupancy, $136 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 Nakagawa Ku.

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Frequently asked

Common questions about Nakagawa Ku

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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