10/62-64 Queens Park Road, Queens Park, NSW 2022 | Property Value & History | OnTheHouse
OFF MARKET

10/62-64 Queens Park Road
Queens Park NSW 2022

Bedrooms: 2
Bathrooms: 1
Car spaces: 1
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Property Details for 10/62-64 Queens Park Rd, Queens Park

10/62-64 Queens Park Rd, Queens Park is a 2 bedroom, 1 bathroom Unit with 1 parking spaces and was built in 1969. While the property is not currently for sale or for rent, it was last sold in February 2024.

Building Type
Unit
Year Built
1969
Local Government
Waverley
Lot/Plan
10/SP4110

Last Listing description (February 2024)

A Stylish Designer Sanctuary Opposite Queens Park

Clean lines, streamlined designer interiors and leafy district views create a welcoming feel in this tastefully renovated apartment directly opposite the wide open expanse of Queens Park. Set to the quiet rear of the block, the oversized apartment opens to an entertainer's balcony with a king-sized main bedroom overlooking the sunny pool and huge windows maximising natural light and airflow. House-like proportions, a soothing neutral palette and a lock-up garage combine to offer a superb lifestyle purchase in a top spot with Centennial Park at the end of the street. The property is in close proximity to Moore Park, the new SCG, and Randwick Racecourse whilst being only a stroll away from Bondi Junction's retail hub and Bronte Road's cafe scene. With easy access to the city and beaches, it's the perfect spot for lovers of the great outdoors.

Mid-floor rear setting in a tightly held parkside block
Fully renovated with a timeless minimalist aesthetic

2 double bedrooms with built-ins, king-sized main bed
Large living/dining opens to an entertainer's balcony
Streamlined designer kitchen with stone benchtops
Integrated appliances, subway tile finishes, sleek storage
Fresh white-tiled bathroom, separate bath and shower
Full-size internal laundry, designer lighting, fitted blinds
Lock-up garage, sunny pool, rear access via Arnold Street

Property History for 10/62-64 Queens Park Rd, Queens Park, NSW 2022

A timeline of how this property has performed in the market
Last Sold
$1,245,000
13 Feb 2024
  • 13 Feb 2024
    Sold - Price Undisclosed
  • 25 Jan 2024
    Listed for Sale Contact Agent
  • 14 Dec 2022
    Listed for Sale For Sale
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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 2.55% increase in median value, while Units have seen a 4.14% increase. As at 31 July 2026:

  • The median value for Houses in Queens Park is $3,918,994 while the median value for Units is $1,369,722.
  • Houses have a median rent of $1,995 while Units have a median rent of $963.
There are currently 3 properties listed for sale, and 2 properties listed for rent in Queens park on OnTheHouse. According to Cotality's data, 52 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.