4 Victoria Street, Queens Park, NSW 2022 | Property Value & History | OnTheHouse
OFF MARKET

4 Victoria Street
Queens Park NSW 2022

Bedrooms: 3
Bathrooms: 2
Car spaces: -
Floor area: 146m2
Land area: 177m2
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Property Details for 4 Victoria St, Queens Park

4 Victoria St, Queens Park is a 3 bedroom, 2 bathroom House and was built in 1900. The property has a land size of 177m2 and floor size of 146m2. While the property is not currently for sale or for rent, it was last sold in March 2023.

Building Type
House
Year Built
1900
Floor Size
146m2
Land Size
177m2
Local Government
Waverley
Lot/Plan
B/DP435694

Last Listing description (March 2023)

With Queens Park virtually at the doorstep and Charing Cross village around the corner, this double- fronted attached cottage is perfect for the active family with everything from playing fields and cycleways to top schools and beaches within easy walking distance. With a north to rear aspect and a sunny garden as a seamless extension of the living space, the two-storey home offers a welcoming sense of peace and privacy with a flexible layout featuring a separate lounge ideal as a fourth bedroom. Interiors are designed for easy living with Juliet balconies and dormer windows on the upper level bringing in the sunshine and handy rear lane pedestrian access. Enjoy the best of coastal living and village convenience footsteps to Bronte Road's cafe scene and a level walk to Bondi Junction.
+ Double-fronted c1900 cottage on the edge of Queens Park
+ 3 upstairs bedrooms, 2 with built-ins and a Juliet balcony

+ Study area and a separate lounge or potential 4th bedroom
+ Fluid living and dining space with polished timber floors
+ Sunny kitchen with a breakfast bar, 2 bathrooms and integrated laundry
+ Private entertainer's garden, leafy treescape surrounds
+ Scope to recreate, renovate or enhance further if desired (STCA)
+ 100m to Charing Cross village and top schools
+ Walk to Queens and Centennial Parks, 2km to Bronte Beach

Property History for 4 Victoria St, Queens Park, NSW 2022

A timeline of how this property has performed in the market
Last Sold
$2,800,000
13 Mar 2023
Listed for Rent
$1.10k/w
17 Aug 2020
  • 13 Mar 2023
    Sold for $2,800,000
  • 02 Mar 2023
    Listed for Sale Auction
  • 04 Aug 2020
    Listed for Rent $1,100 / week
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About Queens Park 2022

The size of Queens Park is approximately 0.8 square kilometres. There are 3 parks, covering nearly 43.2% of the total area. The population of Queens Park in 2016 was 3066 people. By 2021 the population was 3143 showing a population growth of 2.5% in the area during that time. The predominant age group in Queens Park is 40-49 years. Households in Queens Park are primarily couples with children and are likely to be repaying over $4000 per month on mortgage repayments. In general, people in Queens Park work in a professional occupation.In 2021, 69.40% of the homes in Queens Park were owner-occupied compared with 68.60% in 2016.

Queens Park has 1,413 properties. Over the last 5 years, Houses in Queens Park have seen a 5.81% increase in median value, while Units have seen a 8.19% increase. As at 30 June 2026:

  • The median value for Houses in Queens Park is $4,031,821 while the median value for Units is $1,382,559.
  • Houses have a median rent of $1,950 while Units have a median rent of $950.
There are currently no properties listed for sale, and 1 property listed for rent in Queens park on OnTheHouse. According to Cotality's data, 57 properties were sold in the past 12 months in Queens park.

Suburb Insights for Queens Park 2022

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Cotality Copyright and Legal Disclaimers about Property Data
Disclaimer
The Cotality Data provided in this publication is of a general nature and should not be construed as specific advice or relied upon in lieu of appropriate professional advice.

While Cotality uses commercially reasonable efforts to ensure the Cotality Data is current, Cotality does not warrant the accuracy, currency or completeness of the Cotality Data and to the full extent permitted by law excludes all loss or damage howsoever arising (including through negligence) in connection with the Cotality Data.