14/167-171 Bronte Road, Queens Park, NSW 2022 | Property Value & History | OnTheHouse
OFF MARKET

14/167-171 Bronte Road
Queens Park NSW 2022

Bedrooms: 2
Bathrooms: 2
Car spaces: 2
Floor area: 90m2
Land area: 1940m2
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Property Details for 14/167-171 Bronte Rd, Queens Park

14/167-171 Bronte Rd, Queens Park is a 2 bedroom, 2 bathroom Unit with 2 parking spaces and was built in 1993. The property has a land size of 1940m2 and floor size of 90m2. While the property is not currently for sale or for rent, it was last sold in December 2013.

Building Type
Unit
Year Built
1993
Floor Size
90m2
Land Size
1940m2
Local Government
Waverley
Lot/Plan
14/SP44622

Last Listing description (December 2013)

SPACIOUS LIVING IN A CONVENIENT LOCATION
Perfectly positioned to all amenities, this well maintained security apartment offers so much for the investor or owner occupier alike.Situated on the top floor of a secure complex and featuring 2 large bedrooms, both with built-ins, a main bathroom + ensuite, generous internal laundry and L-shaped living/dining area leading straight to the entertainers balcony, you'll get the sense of expansive free-flowing space and comfort from this well designed and maintained property. You will enjoy cooking in the stylish eat-in kitchen otherwise take a short walk to the choice of vibrant restaurants Charing Cross Village has to offer. Everything is nearby. It's a pleasant stroll to Queens Park, cafes, Westfield shopping centre and Bondi Junction Railway Station, not to mention the beautiful Eastern Suburbs beaches.- Very low strata at only $661 p/q (approx)- Two double bedrooms, main with ensuite- Large built-in robes in both bedrooms- Good floorplan with internal laundry- Large L-shaped living/dining area- Entertainers balcony + big eat-in kitchen- Double LUG garage + storage (approx 38sqm)- Extremely convenient location near Queens Park- Short stroll to Charing Cross village & Bondi Junction

Property History for 14/167-171 Bronte Rd, Queens Park, NSW 2022

A timeline of how this property has performed in the market
Last Sold
$890,000
09 Dec 2013
Listed for Rent
$500/w
28 May 2009
  • 09 Dec 2013
    Sold for $890,000
  • 08 Nov 2013
    Listed for Sale AUCTION
  • 27 May 2009
    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.