134 Newland Street, Queens Park, NSW 2022 | Property Value & History | OnTheHouse
OFF MARKET

134 Newland Street
Queens Park NSW 2022

Bedrooms: 4
Bathrooms: 2
Car spaces: 2
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Property Details for 134 Newland St, Queens Park

134 Newland St, Queens Park is a 4 bedroom, 2 bathroom House with 2 parking spaces and was built in 1920. While the property is not currently for sale or for rent, it was last sold in May 2020.

Building Type
House
Year Built
1920
Local Government
Waverley
Lot/Plan
1/DP919859

Last Listing description (September 2026)

Timeless Charm Meets Contemporary Living in the Sought-After Queens Park Suburb

6 month lease only, possibility of extension.

A blend of both classic and contemporary designs brings this grand, four-bedroom, park side home to light. Within this residence, timeless and luxury living is definite. Expansive and elegant, this home offers free-flowing living areas, a large kitchen fitted with high end appliances and a butler's pantry, four spacious rooms and a beautifully landscaped garden, perfect for entertaining. You'll have the best that the East has to offer at your fingertips, with only a short walk to Westfield Bondi Junction, Centennial Park, local schools, transport, eateries and beaches.

House Features:

- Spacious and combined lounge and dining overlooking alfresco area
- Contemporary kitchen with a butler's pantry and large island bench
- Kitchen also includes a gas cooktop, dishwasher, fridge and push open cabinetry
- Four bedrooms all equipped with built in wardrobes
- Master bedroom features a substantial sized ensuite and walk in wardrobe
- Master room also extends into a large secret storage area
- Stylish main bathroom with separate shower and bath
- Well maintained garden with entertaining area
- Polished hardwood floors and carpet
- Two bay windows, high ornate ceilings and large balcony
- Multiple split system air conditioners
- Double lock up garage and rear lane access

Property History for 134 Newland St, Queens Park, NSW 2022

A timeline of how this property has performed in the market
Last Sold
$3,650,000
06 May 2020
  • 25 Aug 2026
    Listed for Rent $2,000
  • 04 Aug 2020
    Listed for Rent $1,900 - $2,100 per week
  • 06 May 2020
    Sold - Price Undisclosed
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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 1,412 properties. Over the last 5 years, Houses in Queens Park have seen a 1.68% increase in median value, while Units have seen a 0.34% increase. As at 31 August 2026:

  • The median value for Houses in Queens Park is $3,972,509 while the median value for Units is $1,346,224.
  • Houses have a median rent of $1,995 while Units have a median rent of $985.
There are currently 1 property listed for sale, and no properties listed for rent in Queens park on OnTheHouse. According to Cotality's data, 45 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.