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

159 Bronte Road
Queens Park NSW 2022

Bedrooms: 4
Bathrooms: 1
Car spaces: 1
Floor area: 110m2
Land area: 165m2
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Last updated 5 Jan 2026
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Property Details for 159 Bronte Rd, Queens Park

159 Bronte Rd, Queens Park is a 4 bedroom, 1 bathroom House with 1 parking spaces and was built in 1890. The property has a land size of 165m2 and floor size of 110m2. While the property is not currently for sale or for rent, it was last sold in October 2019.

Building Type
House
Year Built
1890
Floor Size
110m2
Land Size
165m2
Local Government
Waverley
Lot/Plan
A/DP443483

Last Listing description (October 2019)

This attractive tri-level terrace delivers an ideal low maintenance retreat complemented by a central Eastern Suburbs position close to the heart of Bondi Junction. Fresh, bright and presented in great condition, the unique residence offers an easycare home with crisp interiors, a choice of outdoor areas and many smart modern updates throughout. The great convenience of being close to all amenities makes it perfect for those who value position, potential and a highly convenient lifestyle.

- An elevated position that captures a sweeping city & district panorama

- A bright open layout featuring separate lounge and dining areas
- Private walled front courtyard plus a maintenance-free back garden
- An oversized carport with auto remote access via the rear lane
- Three upstairs bedrooms plus an attic level fourth bedroom/study
- Front and rear verandas, modern kitchen, full bathroom, internal laundry
- Excellent potential to add style and appeal with a creative renovation
- Minutes to beaches, Westfield and Bondi Junction's transport hub

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Property History for 159 Bronte Rd, Queens Park, NSW 2022

A timeline of how this property has performed in the market
Last Sold
$1,610,000
04 Oct 2019
Listed for Rent
12 Mar 2019
  • 04 Oct 2019
    Sold for $1,610,000
  • 13 Sep 2019
    Listed for Sale Contact Agent
  • 12 Mar 2019
    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. It has 3 parks covering nearly 43.2% of 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 1,414 properties. Over the last 5 years, Houses in Queens Park have seen a 35.85% increase in median value, while Units have seen a 21.12% increase. As at 31 December 2025:

  • The median value for Houses in Queens Park is $4,231,103 while the median value for Units is $1,426,748.
  • Houses have a median rent of $1,900 while Units have a median rent of $895.
There are currently 1 property listed for sale, and 2 properties listed for rent in Queens park on OnTheHouse. According to Cotality's data, 63 properties were sold in the past 12 months in Queens park.

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Cotality Copyright and Legal Disclaimers about Property Data

© Copyright 2026. RP Data Pty Ltd trading as Cotality (Cotality). All rights reserved. No reproduction, distribution, or transmission of the copyrighted materials is permitted. The information is deemed reliable but not guaranteed.

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.

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