Public property record
11 Bookara Gum Crescent, Mount Low, Mount Low QLD 4818 property data
11 Bookara Gum Crescent, Mount Low, Mount Low QLD 4818 is a house in Mount Low, QLD 4818. Key attributes: house · 4 bed · 2 bath · 2 car · 700m². Last sold for $753,000 on 26 February 2026. Mount Low house median: $295,000.
Sold by private treaty 26 Feb 2026
Property facts
House · 4 Bed · 2 Bath · 2 Car · 700m²
- Property type
- House
- Bedrooms
- 4
- Bathrooms
- 2
- Car spaces
- 2
- Land size
- 700m²
Sale and listing signals
No active listing is recorded in the public Propertylens feed for this property.
The latest recorded sale was $753,000 on 26 February 2026 via private_treaty.
Mount Low market context
- Mount Low median
- $295,000
Recorded sale history
| Date | Price | Sale type | Days on market |
|---|---|---|---|
| 26 February 2026 | $753,000 | private_treaty | Not available |
Comparable sales near Mount Low
Property questions answered
When was 11 Bookara Gum Crescent, Mount Low, Mount Low QLD 4818 last sold and for how much?
11 Bookara Gum Crescent, Mount Low, Mount Low QLD 4818 was last sold on 26 February 2026 for $753,000 via private_treaty. Propertylens Australia tracks 1 recorded sale for this property. View the full sale history on this page.
What are similar properties to 11 Bookara Gum Crescent, Mount Low, Mount Low QLD 4818 worth?
Propertylens Australia found 8 comparable house properties in Mount Low sold in the last 2 years. The average sale price of these comparables is $478,875. View the full list of comparable sales on this page.
What is the median house price in Mount Low 4818?
The current median house price in Mount Low, QLD 4818 is $295,000.
Can I get an AI price estimate for 11 Bookara Gum Crescent, Mount Low, Mount Low QLD 4818?
Yes. Propertylens Australia can run a 1-credit AI price estimate for 11 Bookara Gum Crescent, Mount Low, Mount Low QLD 4818 using comparable sales, suburb market signals, property attributes and available public data. New users receive 1 free credit on signup, so they can test the AI estimate workflow before buying more credits.