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Rostov Na Donu, Southern Federal District short-term rental listings & supply

Updated By The AirDNA Data Team

Rostov Na Donu, Southern Federal District has 2 active short-term rental listings, tracked across Airbnb, Vrbo, and Booking.com.

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Total active listings
2
Across all channels
Most popular size
1BR
100% 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 →

Rostov Na Donu, Southern Federal District short-term rental listings

Rostov Na Donu has 2 active short-term rental listings as of April 2026, tracked across Airbnb, Vrbo, and Booking.com. Here's how the market breaks down:

  • By property type: 100% entire homes.
  • By size: 100% 1-bedroom.
  • By channel: 100% Airbnb-only.
  • By availability: 100% part-time (91–180 nights).
  • By minimum stay: 100% 30+ nights.
  • By cancellation policy: 100% flexible.
0
AirDNA Market Score
    Full Rostov Na Donu market overview How Market Score is calculated
    Analyst's take

    Rostov Na Donu's Rental Demand score: 0 out of 100.

    Rostov Na Donu's Rental Demand subscore is 0 out of 100, one of five inputs to its overall Market Score of 0.

    Rental Demand combines two inputs: annual occupancy (24% in Rostov Na Donu) and year-over-year listing growth.

    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:

    1. 1Narrow to a neighborhoodNeighborhood metrics give a far more accurate picture of the exact area you're considering.
    2. 2Apply filtersFilter by bedrooms, price tier, amenities, and reviews to reach properties that actually match yours.
    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 Rostov Na Donu's active short-term rental supply has trended over the past year.

    JunAugOctDecFebApr
    See Rostov Na Donu's month-by-month supply trend in the AirDNA app.

    Listing mix

    Four ways to slice Rostov Na Donu's 2 listings

    Property type

    Entire home leads at 100%

    • Entire home100%

    Bedrooms

    1BR leads at 100%

    • 1BR100%

    Channel

    Airbnb only leads at 100%

    • Airbnb only100%

    Availability

    Part-time (91–180 nights) leads at 100%

    • Part-time (91–180 nights)100%

    Listings by minimum stay

    Share of Rostov Na Donu active supply by host-set minimum stay

    30+ nights
    100%

    Listings by cancellation policy

    Share of Rostov Na Donu active supply by host cancellation policy

    Flexible
    100%

    This is the tip of the iceberg

    Go deeper on Rostov Na Donu supply in the app.

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    Explore more Rostov Na Donu data

    Keep digging into Rostov Na Donu

    Rostov Na Donu market overview

    The full Rostov Na Donu market: 2 listings, $764 average revenue, 24% occupancy, $61 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 Rostov Na Donu.

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    Frequently asked

    Common questions about Rostov Na Donu

    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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