Public property record
173 Macrossan Avenue, Norman Park, Norman Park QLD 4170 property data
173 Macrossan Avenue, Norman Park, Norman Park QLD 4170 is a house in Norman Park, QLD 4170. Key attributes: house · 4 bed · 2 bath · 2 car · 405m². Last sold for $1.42M on 21 November 2025. Norman Park house median: $1.63M.
Sold by private treaty 21 Nov 2025
Property facts
House · 4 Bed · 2 Bath · 2 Car · 405m²
- Property type
- House
- Bedrooms
- 4
- Bathrooms
- 2
- Car spaces
- 2
- Land size
- 405m²
Sale and listing signals
No active listing is recorded in the public Propertylens feed for this property.
The latest recorded sale was $1.42M on 21 November 2025 via private_treaty.
Norman Park market context
- Norman Park median
- $1.63M
Recorded sale history
| Date | Price | Sale type | Days on market |
|---|---|---|---|
| 21 November 2025 | $1.42M | private_treaty | Not available |
Comparable sales near Norman Park
Property questions answered
When was 173 Macrossan Avenue, Norman Park, Norman Park QLD 4170 last sold and for how much?
173 Macrossan Avenue, Norman Park, Norman Park QLD 4170 was last sold on 21 November 2025 for $1.42M 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 173 Macrossan Avenue, Norman Park, Norman Park QLD 4170 worth?
Propertylens Australia found 8 comparable house properties in Norman Park sold in the last 2 years. The average sale price of these comparables is $2.08M. View the full list of comparable sales on this page.
What is the median house price in Norman Park 4170?
The current median house price in Norman Park, QLD 4170 is $1.63M.
Can I get an AI price estimate for 173 Macrossan Avenue, Norman Park, Norman Park QLD 4170?
Yes. Propertylens Australia can run a 1-credit AI price estimate for 173 Macrossan Avenue, Norman Park, Norman Park QLD 4170 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.