55 Alt Street, Queens Park, NSW 2022 | Property Value & History | OnTheHouse
OFF MARKET

55 Alt Street
Queens Park NSW 2022

Bedrooms: 5
Bathrooms: 1
Car spaces: 3
Land area: 454m2
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Property Details for 55 Alt St, Queens Park

55 Alt St, Queens Park is a 5 bedroom, 1 bathroom House with 3 parking spaces. The property has a land size of 454m2.

Building Type
House
Land Size
454m2
Local Government
Waverley
Lot/Plan
24/DP1083466

Last Listing description (June 2026)

Perfectly positioned in one of the area's most sought-after tree-lined streets, this beautifully renovated and light-filled residence combines timeless character with modern convenience. Offering generous proportions throughout, this impressive five-bedroom home is ideal for families seeking space, comfort, and an unbeatable location.

Enjoy the convenience of being just a short stroll to Queens Park, Centennial Park, quality schools, Bondi Junction's vibrant shopping precinct, and the train and bus interchange, providing easy access to the CBD and surrounding suburbs.

Bathed in natural light and featuring a sunny backyard perfect for entertaining or family enjoyment, this home offers a peaceful and private retreat in a highly desirable neighbourhood.

Property Features:

- Five generously sized bedrooms.
- Spacious open-plan kitchen with Caesarstone benchtops, dishwasher, and ample storage.
- Large renovated bathroom, fully tiled from floor to ceiling.
- Polished timber floorboards throughout.
- External laundry with a second toilet for added convenience.
- Sunny and private rear yard, ideal for children and outdoor entertaining.
- Rear lane access to a lock-up garage.
- Character features blended seamlessly with modern updates.
- Bright interiors with an abundance of natural light.

Offering a rare combination of space, charm, and location, this exceptional home presents an outstanding opportunity to enjoy a relaxed Eastern Suburbs lifestyle with every amenity at your doorstep.

Property History for 55 Alt St, Queens Park, NSW 2022

A timeline of how this property has performed in the market
Listed for Rent
$1.55k/w
14 Oct 2022
  • 10 Jun 2026
    Listed for Rent $1,950 / week
  • 23 Mar 2026
    Listed for Sale Contact Agent
  • 06 Oct 2022
    Listed for Rent $1,550 / week
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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.