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Victor Khanye, Mpumalanga short-term rental listings & supply

Updated By The AirDNA Data Team

Victor Khanye, Mpumalanga has 7 active short-term rental listings, tracked across Airbnb, Vrbo, and Booking.com.

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Total active listings
7
+40.0% YoY
Most popular size
1BR
88.9% 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 →

Victor Khanye, Mpumalanga short-term rental listings

Victor Khanye has 7 active short-term rental listings as of August 2026, tracked across Airbnb, Vrbo, and Booking.com. Active supply is up 40.0% from August 2025 to August 2026. Here's how the market breaks down:

  • By property type: 66.7% private rooms, 33.3% entire homes.
  • By size: 88.9% 1-bedroom, 11.1% 5+ bedroom.
  • By channel: 100% Airbnb-only.
  • By availability: 77.8% full-time (271–365), 22.2% part-time (91–180 nights).
  • By minimum stay: 100% 30+ nights.
  • By cancellation policy: 77.8% flexible, 22.2% moderate.
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AirDNA Market Score
Full Victor Khanye market overview How Market Score is calculated
Analyst's take

Victor Khanye's Rental Demand score: 0 out of 100.

Victor Khanye'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 (44% in Victor Khanye) and year-over-year listing growth (active supply up 40.0% from August 2025 to August 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:

  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 Victor Khanye's active short-term rental supply has trended over the past year.

Jul '26Aug '26Sep '26Sep '26Sep '26
See Victor Khanye's month-by-month supply trend in the AirDNA app.

Listing mix

Four ways to slice Victor Khanye's 7 listings

Property type

Private room leads at 66.7%

  • Entire home33.3%
  • Private room66.7%

Bedrooms

1BR leads at 88.9%

  • 1BR88.9%
  • 5BR+11.1%

Channel

Airbnb only leads at 100%

  • Airbnb only100%

Availability

Full-time (271–365) leads at 77.8%

  • Part-time (91–180 nights)22.2%
  • Full-time (271–365)77.8%

Listings by minimum stay

Share of Victor Khanye active supply by host-set minimum stay

30+ nights
100%

Listings by cancellation policy

Share of Victor Khanye active supply by host cancellation policy

Flexible
77.8%
Moderate
22.2%

This is the tip of the iceberg

Go deeper on Victor Khanye supply in the app.

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Explore more Victor Khanye data

Keep digging into Victor Khanye

Victor Khanye market overview

The full Victor Khanye market: 7 listings, $4.7K average revenue, 44% occupancy, $30 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 Victor Khanye.

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Explore more markets

Other short-term rental markets in Mpumalanga

Frequently asked

Common questions about Victor Khanye

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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