Public property record
128 Macfarlane Burnet Avenue, Macgregor, Macgregor ACT 2615 property data
128 Macfarlane Burnet Avenue, Macgregor, Macgregor ACT 2615 is a house in Macgregor, ACT 2615. Key attributes: house · 3 bed · 1 bath · 3 car · 450m². Last sold for $815,000 on 3 December 2025. Macgregor house median: $1.30M.
Sold by private treaty 03 Dec 2025
Property facts
House · 3 Bed · 1 Bath · 3 Car · 450m²
- Property type
- House
- Bedrooms
- 3
- Bathrooms
- 1
- Car spaces
- 3
- Land size
- 450m²
Sale and listing signals
No active listing is recorded in the public Propertylens feed for this property.
The latest recorded sale was $815,000 on 3 December 2025 via private_treaty.
Macgregor market context
- Macgregor median
- $1.30M
Recorded sale history
| Date | Price | Sale type | Days on market |
|---|---|---|---|
| 3 December 2025 | $815,000 | private_treaty | Not available |
Comparable sales near Macgregor
Property questions answered
When was 128 Macfarlane Burnet Avenue, Macgregor, Macgregor ACT 2615 last sold and for how much?
128 Macfarlane Burnet Avenue, Macgregor, Macgregor ACT 2615 was last sold on 3 December 2025 for $815,000 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 128 Macfarlane Burnet Avenue, Macgregor, Macgregor ACT 2615 worth?
Propertylens Australia found 8 comparable house properties in Macgregor sold in the last 2 years. The average sale price of these comparables is $1.16M. View the full list of comparable sales on this page.
What is the median house price in Macgregor 2615?
The current median house price in Macgregor, ACT 2615 is $1.30M.
Can I get an AI price estimate for 128 Macfarlane Burnet Avenue, Macgregor, Macgregor ACT 2615?
Yes. Propertylens Australia can run a 1-credit AI price estimate for 128 Macfarlane Burnet Avenue, Macgregor, Macgregor ACT 2615 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.