Viluppuram District, Default short-term rental listings & supply

Name: Viluppuram District, Default short-term rental supply data
Creator: AirDNA
License: https://www.airdna.co/terms

Updated October 6, 2026By The AirDNA Data Team

Viluppuram District, Default has 773 active short-term rental listings, tracked across Airbnb, Vrbo, and Booking.com.

Explore Viluppuram District in the app

See revenue potential of any address

Total active listings

773

-41.2% YoY

Viluppuram District, Default short-term rental listings

Viluppuram District has 773 active short-term rental listings as of September 2026, tracked across Airbnb, Vrbo, and Booking.com. Active supply is down 41.2% from September 2025 to September 2026. Here's how the market breaks down:

By property type: 59% entire homes, 40.3% private rooms and 0.7% shared rooms.
By size: 53.1% 1-bedroom, 20.3% 2-bedroom, 12.3% 3-bedroom, 7.6% 5+ bedroom, and 6.7% 4-bedroom.
By channel: 98.7% Airbnb-only, 1.3% cross-listed and 0.1% Vrbo-only.
By availability: 65.6% full-time (271–365), 13.6% most of year (181–270), 12.6% part-time (91–180 nights), and 8.2% seasonal (1–90 nights).
By minimum stay: 92.2% 30+ nights, 6.2% 2 nights, 0.9% 1 night, 0.3% 3 nights, and 0.3% 7–29 nights.
By cancellation policy: 64.7% flexible, 30.3% moderate, 4.9% strict, and 0.1% no refund.

Rental demand score

Rental demand57
Seasonality90
Revenue growth67
Regulation67

Full Viluppuram District market overview How Market Score is calculated

Analyst's take

Viluppuram District's Rental Demand score: 57 out of 100.

Viluppuram District's Rental Demand subscore is 57 out of 100, one of five inputs to its overall Market Score of 86.

Rental Demand combines two inputs: annual occupancy (36% in Viluppuram District) and year-over-year listing growth (active supply down 41.2% from September 2025 to September 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:

1Narrow to a neighborhoodNeighborhood metrics give a far more accurate picture of the exact area you're considering.
2Apply filtersFilter by bedrooms, price tier, amenities, and reviews to reach properties that actually match yours.
3Estimate one addressProject what one specific property can earn with a custom comp set built from its exact specs.

Explore Viluppuram District in the app

See revenue potential of any address

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 →