3/66 Queens Park Road, Queens Park, NSW 2022 | Property Value & History | OnTheHouse
OFF MARKET

3/66 Queens Park Road
Queens Park NSW 2022

Bedrooms: 2
Bathrooms: 1
Car spaces: 1
Floor area: 75m2
Land area: 667m2
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Property Details for 3/66 Queens Park Rd, Queens Park

3/66 Queens Park Rd, Queens Park is a 2 bedroom, 1 bathroom Unit with 1 parking spaces and was built in 1978. The property has a land size of 667m2 and floor size of 75m2. While the property is not currently for sale or for rent, it was last sold in August 2024.

Building Type
Unit
Year Built
1978
Floor Size
75m2
Land Size
667m2
Local Government
Waverley
Lot/Plan
3/SP13390

Last Listing description (February 2025)

Constructed with no common walls and to invite a deluge of sunlight, this wonderful apartment exudes tranquillity and the highest degree of privacy. Updated timber flooring and a sleek, modern design combine to usher in a sense of relaxation, further epitomised by the spacious balcony overlooking Queens Park, perfect for enjoying the sun or entertaining guests into the night. Experience all the fantastic benefits of a Queens Park lifestyle, with the residence placed idyllically between vast parklands and greenery and the popular caf and dining options in Waverley Village, with Bondi Junction a short distance away, connecting you to a plethora of shops and the rest of Sydney.

Gorgeous leafy outlooks on multiple sides & ideal airflow
Beautifully vibrant open living & dining flows to balcony

Caesarstone kitchen with tiled splashbacks & dishwasher
Both beds with BIRs & fans, bright corner aspect in master
Split system air conditioning in living room & main bedroom
Updated tiled bath with tub & rain shower, separate laundry
Full brick boutique building, single undercover car space
Across from stunning Queens Park, stroll to Centennial Park
500m to Waverley restaurants, 700m to Bondi Junction shops
Close proximity to a selection of the Eastern Suburbs finest beaches

Property History for 3/66 Queens Park Rd, Queens Park, NSW 2022

A timeline of how this property has performed in the market
Last Sold
$1,425,000
30 Aug 2024
Listed for Rent
$670/w
12 Jan 2012
  • 30 Aug 2024
    Sold for $1,425,000
  • 22 Aug 2024
    Listed for Sale Auction 14th September
  • 05 Jul 2021
    Sold for $1,320,000
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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.