63 Rawson Avenue, Queens Park, NSW 2022 | Property Value & History | OnTheHouse
OFF MARKET

63 Rawson Avenue
Queens Park NSW 2022

Bedrooms: 3
Bathrooms: 2
Car spaces: 1
Floor area: 178m2
Land area: 149m2
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Property Details for 63 Rawson Ave, Queens Park

63 Rawson Ave, Queens Park is a 3 bedroom, 2 bathroom House with 1 parking spaces and was built in 1910. The property has a land size of 149m2 and floor size of 178m2. While the property is not currently for sale or for rent, it was last sold in November 2019.

Building Type
House
Year Built
1910
Floor Size
178m2
Land Size
149m2
Local Government
Waverley
Lot/Plan
44/DP4050

Last Listing description (November 2019)

Grandly scaled and impeccably presented, this freestanding terrace stands proud on a coveted tree-lined avenue renowned as one of Queens Park's best streets. On a private dual access block, the two-storey home offers an inviting blend of Victorian elegance and contemporary comfort just 200m to the York St Gates to Centennial Park. A sympathetic redesign retains the integrity of the building while creating a stylish environment that's perfectly configured for family living with three king-sized bedrooms on the upper level and double parking via Birrell Lane. Capturing leafy views from the master balcony, there's potential to develop the attic capitalising on its prized address close to Bondi Junction's retail hub.

6m wide terrace with a walled forecourt and elegant entry hall
Polished Scandi-style floorboards, 3.1m ceilings, custom joinery

3 large bedrooms, 2 with built-ins and 2 opening to a balcony
Spacious living room and formal dining, gas outlet for heating
Newly updated granite gas kitchen and sun-filled casual dining
Private landscaped entertainer's courtyard with decked seating
Huge skylit family bathroom, downstairs bathroom with laundry
Reverse air conditioning, lined attic with scope to develop STCA
Quiet street within easy reach of the city and east's best beaches

Property History for 63 Rawson Ave, Queens Park, NSW 2022

A timeline of how this property has performed in the market
Last Sold
$2,690,000
09 Nov 2019
Listed for Rent
06 Dec 2018
  • 09 Nov 2019
    Sold for $2,690,000
  • 10 Oct 2019
    Listed for Sale Not Disclosed
  • 20 Nov 2018
    Listed for Rent - Price not available
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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.