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Sawai Madhopur, Default short-term rental listings & supply

Updated By The AirDNA Data Team

Sawai Madhopur, Default has 34 active short-term rental listings, tracked across Airbnb, Vrbo, and Booking.com.

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Total active listings
34
-75.9% YoY
Most popular size
1BR
55.8% 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 →

Sawai Madhopur, Default short-term rental listings

Sawai Madhopur has 34 active short-term rental listings as of September 2026, tracked across Airbnb, Vrbo, and Booking.com. Active supply is down 75.9% from September 2025 to September 2026. Here's how the market breaks down:

  • By property type: 62.8% private rooms, 37.2% entire homes.
  • By size: 55.8% 1-bedroom, 22.1% 2-bedroom, 14% 5+ bedroom, 4.7% 3-bedroom, and 3.5% 4-bedroom.
  • By channel: 98.8% Airbnb-only, 1.3% cross-listed.
  • By availability: 69.8% full-time (271–365), 16.3% most of year (181–270), 10.5% part-time (91–180 nights), and 3.5% seasonal (1–90 nights).
  • By minimum stay: 98.8% 30+ nights, 1.2% 2 nights.
  • By cancellation policy: 73.9% flexible, 21.7% moderate and 4.3% strict.
55
Rental demand score
Full Sawai Madhopur market overview How Market Score is calculated
Analyst's take

Sawai Madhopur's Rental Demand score: 55 out of 100.

Sawai Madhopur's Rental Demand subscore is 55 out of 100, one of five inputs to its overall Market Score of 57.

Rental Demand combines two inputs: annual occupancy (19% in Sawai Madhopur) and year-over-year listing growth (active supply down 75.9% 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:

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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 Sawai Madhopur's active short-term rental supply has trended over the past year.

Jul '26Aug '26Sep '26Sep '26Sep '26Oct '26
See Sawai Madhopur's month-by-month supply trend in the AirDNA app.

Listing mix

Four ways to slice Sawai Madhopur's 34 listings

Property type

Private room leads at 62.8%

  • Entire home37.2%
  • Private room62.8%

Bedrooms

1BR leads at 55.8%

  • 1BR55.8%
  • 2BR22.1%
  • 3BR4.7%
  • 4BR3.5%
  • 5BR+14%

Channel

Airbnb only leads at 98.8%

  • Airbnb only98.8%
  • Multi-platform1.3%

Availability

Full-time (271–365) leads at 69.8%

  • Seasonal (1–90 nights)3.5%
  • Part-time (91–180 nights)10.5%
  • Most of year (181–270)16.3%
  • Full-time (271–365)69.8%

Listings by minimum stay

Share of Sawai Madhopur active supply by host-set minimum stay

2 nights
1.2%
30+ nights
98.8%

Listings by cancellation policy

Share of Sawai Madhopur active supply by host cancellation policy

Flexible
73.9%
Moderate
21.7%
Strict
4.3%

This is the tip of the iceberg

Go deeper on Sawai Madhopur supply in the app.

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Explore more Sawai Madhopur data

Keep digging into Sawai Madhopur

Sawai Madhopur market overview

The full Sawai Madhopur market: 34 listings, $4.3K average revenue, 19% occupancy, $71 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 Sawai Madhopur.

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Frequently asked

Common questions about Sawai Madhopur

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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