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Lugu Township, Default short-term rental listings & supply

Updated By The AirDNA Data Team

Lugu Township, Default has 62 active short-term rental listings, tracked across Airbnb, Vrbo, and Booking.com.

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Total active listings
62
-13.9% YoY
Most popular size
1BR
77.4% 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 →

Lugu Township, Default short-term rental listings

Lugu Township has 62 active short-term rental listings as of June 2026, tracked across Airbnb, Vrbo, and Booking.com. Active supply is down 13.9% from June 2025 to June 2026. Here's how the market breaks down:

  • By property type: 64.5% private rooms, 19.4% shared rooms and 16.1% entire homes.
  • By size: 77.4% 1-bedroom, 11.3% 5+ bedroom, 6.5% 4-bedroom, and 4.8% 2-bedroom.
  • By channel: 96.8% Airbnb-only, 3.2% cross-listed.
  • By availability: 90.3% full-time (271–365), 6.5% most of year (181–270), 1.6% seasonal (1–90 nights), and 1.6% part-time (91–180 nights).
  • By minimum stay: 98.4% 30+ nights, 1.6% 2 nights.
  • By cancellation policy: 47.1% flexible, 44.1% moderate and 8.8% strict.
56
Rental demand score
Full Lugu Township market overview How Market Score is calculated
Analyst's take

Lugu Township's Rental Demand score: 56 out of 100.

Lugu Township's Rental Demand subscore is 56 out of 100, one of five inputs to its overall Market Score of 42.

Rental Demand combines two inputs: annual occupancy (18% in Lugu Township) and year-over-year listing growth (active supply down 13.9% from June 2025 to June 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 Lugu Township's active short-term rental supply has trended over the past year.

Sep '25Nov '25Jan '26Mar '26May '26Jul '26
See Lugu Township's month-by-month supply trend in the AirDNA app.

Listing mix

Four ways to slice Lugu Township's 62 listings

Property type

Private room leads at 64.5%

  • Entire home16.1%
  • Private room64.5%
  • Shared room19.4%

Bedrooms

1BR leads at 77.4%

  • 1BR77.4%
  • 2BR4.8%
  • 4BR6.5%
  • 5BR+11.3%

Channel

Airbnb only leads at 96.8%

  • Airbnb only96.8%
  • Multi-platform3.2%

Availability

Full-time (271–365) leads at 90.3%

  • Seasonal (1–90 nights)1.6%
  • Part-time (91–180 nights)1.6%
  • Most of year (181–270)6.5%
  • Full-time (271–365)90.3%

Listings by minimum stay

Share of Lugu Township active supply by host-set minimum stay

2 nights
1.6%
30+ nights
98.4%

Listings by cancellation policy

Share of Lugu Township active supply by host cancellation policy

Flexible
47.1%
Moderate
44.1%
Strict
8.8%

This is the tip of the iceberg

Go deeper on Lugu Township supply in the app.

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Explore more Lugu Township data

Keep digging into Lugu Township

Lugu Township market overview

The full Lugu Township market: 62 listings, $5.8K average revenue, 18% occupancy, $142 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 Lugu Township.

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Frequently asked

Common questions about Lugu Township

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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