88 Queens Park Road, Queens Park, NSW 2022 | Property Value & History | OnTheHouse
OFF MARKET

88 Queens Park Road
Queens Park NSW 2022

Bedrooms: 4
Bathrooms: 2
Car spaces: 1
Floor area: 325m2
Land area: 680m2
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Property Details for 88 Queens Park Rd, Queens Park

88 Queens Park Rd, Queens Park is a 4 bedroom, 2 bathroom House with 1 parking spaces and was built in 1900. The property has a land size of 680m2 and floor size of 325m2. While the property is not currently for sale or for rent, it was last sold in March 2016.

Building Type
House
Year Built
1900
Floor Size
325m2
Land Size
680m2
Local Government
Waverley
Lot/Plan
6/18/DP4600

Last Listing description (May 2015)

Peacefully positioned in a highly sought after pocket opposite Queens Park, this beautifully presented single-storey house stands on a deep block with two street frontages & rear access from Arnold Street.
Designed for easy family living, the renovated residence features two sleek bathrooms, a modern kitchen and an open-plan family living & dining area flowing to a sunny north-facing landscaped garden with a swimming pool, level lawns and paved alfresco dining area.
Elevated and set well back from the street, it has a handsome double-fronted fa ade with a deep veranda. In a quiet and convenient location close to Centennial Park, it s an easy walk to local schools including Moriah College, St Catherine s School and Waverley College.

Big living & dining area flows to sunny garden & pool
Modern open-plan kitchen (induction stove and integrated appliances) with generous storage
Large study or 4th bedroom with marble fireplace
Main bedroom with b/in wardrobes & ensuite
2nd & 3rd double bedrooms both with b/ins
Main limestone bathroom; separate laundry
High patterned ceilings; polished timber floors
basement storerooms
Secure parking pavilion accessed from Arnold Street
Opposite Queens Park; moments from Centennial Park
Close to city buses & Bondi Junction shopping

Property History for 88 Queens Park Rd, Queens Park, NSW 2022

A timeline of how this property has performed in the market
Last Sold
$4,490,000
17 Mar 2016
Listed for Rent
$2.80k/w
07 Apr 2015
  • 17 Mar 2016
    Sold for $4,490,000
  • 24 Feb 2015
    Listed for Rent $2,800 / week
  • 03 Sep 2013
    Sold for $3,500,000
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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 10.08% increase in median value, while Units have seen a 11.21% increase. As at 31 May 2026:

  • The median value for Houses in Queens Park is $4,078,150 while the median value for Units is $1,390,102.
  • Houses have a median rent of $1,973 while Units have a median rent of $985.
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.