17 Isabella Street, Queens Park, NSW 2022 sold on 30 May 2026 | OnTheHouse
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Sold on 30 May 2026 - Price Unavailable

17 Isabella Street
Queens Park NSW 2022

Bedrooms: 4
Bathrooms: 1
Car spaces: -
Land area: 171m2
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Property Details for 17 Isabella St, Queens Park

17 Isabella St, Queens Park is a 4 bedroom, 1 bathroom House. The property has a land size of 171m2. While the property is not currently for sale or for rent, it was last sold in May 2026. There are other 4 bedroom House sold in Queens Park in the last 12 months.

Building Type
House
Land Size
171m2

Last Listing description (May 2026)

A prime blank canvas opportunity exists in a tightly held Queens Park enclave, this original freestanding cottage is being offered to the market for the first time in 50 years. Set on an approximately 171sqm level block with a wide frontage (approx. 9.14 metres), it presents endless potential for those with creative vision to renovate, extend or rebuild a brand-new family dream home (STCA).

Rich in character and possibility, the home's timeless charm combines with an ultra-convenient lifestyle setting just 350m from the green open spaces of Queens Park and 650m to the vibrant retail and transport hub of Westfield Bondi Junction.

Explore the outstanding potential to capitalise on its prized location within a short stroll of Westfield's shopping, dining and entertainment precinct, popular eateries, and Bondi Junction railway station, along with a wide selection of gyms and Pilates studios. Enjoy close proximity to both Queens Park and Centennial Park, quality schools, and easy access to the CBD and iconic eastern beaches.

• Quiet one-way street, wide frontage and level 171sqm block
• First time offered in 50 years - exceptional opportunity
• A blank canvas with outstanding potential to renovate or rebuild (STCA)
• Original condition with timeless charm and huge potential
• Light and airy interiors with an east-west aspect
• Currently configured as 4 bedrooms, 1 bathroom
• Neat kitchen with adjoining dining area
• Tidy bathroom including laundry facilities

Property History for 17 Isabella St, Queens Park, NSW 2022

A timeline of how this property has performed in the market
Last Sold
30 May 2026
  • 30 May 2026
    Sold for $2,300,000
  • 08 May 2026
    Listed for Sale Auction 30th May
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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 10.96% increase in median value, while Units have seen a 15.25% increase. As at 30 April 2026:

  • The median value for Houses in Queens Park is $3,963,070 while the median value for Units is $1,414,431.
  • Houses have a median rent of $1,998 while Units have a median rent of $940.
There are currently 3 properties listed for sale, and 2 properties listed for rent in Queens park on OnTheHouse. According to Cotality's data, 58 properties were sold in the past 12 months in Queens park.

Suburb Insights for Queens Park 2022

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Angus Gorrie
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Nicholas Wiggan
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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.