Public property record
3/2-4 Gloucester Street, Waterford, Waterford QLD 4133 property data
3/2-4 Gloucester Street, Waterford, Waterford QLD 4133 is a townhouse in Waterford, QLD 4133. Key attributes: townhouse · 2 bed · 1 bath · 2 car · 110m². Last sold for $680,896 on 25 February 2026. Waterford house median: $798,684.
Sold by private treaty 25 Feb 2026
Property facts
Townhouse · 2 Bed · 1 Bath · 2 Car · 110m²
- Property type
- Townhouse
- Bedrooms
- 2
- Bathrooms
- 1
- Car spaces
- 2
- Land size
- 110m²
Sale and listing signals
No active listing is recorded in the public Propertylens feed for this property.
The latest recorded sale was $680,896 on 25 February 2026 via private_treaty.
Waterford market context
- Waterford median
- $798,684
- Average days on market
- 14 days
Recorded sale history
| Date | Price | Sale type | Days on market |
|---|---|---|---|
| 25 February 2026 | $680,896 | private_treaty | Not available |
Comparable sales near Waterford
Property questions answered
When was 3/2-4 Gloucester Street, Waterford, Waterford QLD 4133 last sold and for how much?
3/2-4 Gloucester Street, Waterford, Waterford QLD 4133 was last sold on 25 February 2026 for $680,896 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 3/2-4 Gloucester Street, Waterford, Waterford QLD 4133 worth?
Propertylens Australia found 5 comparable townhouse properties in Waterford sold in the last 2 years. The average sale price of these comparables is $700,900. View the full list of comparable sales on this page.
What is the median house price in Waterford 4133?
The current median house price in Waterford, QLD 4133 is $798,684. Properties in Waterford typically sell within 14 days.
Can I get an AI price estimate for 3/2-4 Gloucester Street, Waterford, Waterford QLD 4133?
Yes. Propertylens Australia can run a 1-credit AI price estimate for 3/2-4 Gloucester Street, Waterford, Waterford QLD 4133 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.