69 Queens Parade, Newport, NSW 2106 | Property Value & History | OnTheHouse
OFF MARKET

69 Queens Parade
Newport NSW 2106

Bedrooms: 4
Bathrooms: 2
Car spaces: 2
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Property Details for 69 Queens Pde, Newport

69 Queens Pde, Newport is a 4 bedroom, 2 bathroom House with 2 parking spaces and was built in 1950. While the property is not currently for sale or for rent, it was last sold in July 2023.

Building Type
House
Year Built
1950
Local Government
Northern Beaches
Lot/Plan
4/DP8115

Last Listing description (October 2025)

Classic Newport Cottage

Embrace the essence of coastal living with this sunny Newport beach home. Perfectly positioned close to Newport shops, school and public transport, this residence enjoys an elevated setting and a prized northerly aspect, providing a serene and relaxing environment for you and your family. Only a short walk to the beach, this home is the place to grow your family!

Features:

- The upper level comprises three bedrooms, two bedrooms with built-in robes and the third, smaller bedroom could also be used as a home office

- Double French doors opening from the living area and second bedroom onto the rear entertaining deck
- Lower level comprises a one bedroom / teenage retreat space with huge bathroom
- Spacious open plan living and dining complete with polished timber floorboards through out
- Large rear entertaining deck surrounded by tropical garden and fully enclosed rear garden
- Plenty of storage under the home
- Short stroll to Newport village and beach, The Newport hotel and public transport
- Only 150m to Newport primary school
- Wide driveway access to 3 car off-street parking
- Lay in bed at night and hear the soothing sounds of the Ocean

In the interest of protecting our tenants against leaking of any personal data, please only pay your holding deposit to our agency upon receiving approval from DiJones Real Estate. You will then receive a remittance, in the form of a trust account receipt, from DiJones to confirm receipt of your deposit.

Property History for 69 Queens Pde, Newport, NSW 2106

A timeline of how this property has performed in the market
Last Sold
$2,300,000
14 Jul 2023
  • 17 Sep 2025
    Listed for Rent $1,450 pw
  • 14 Jul 2023
    Sold - Price Undisclosed
  • 19 Jun 2023
    Listed for Sale Price Guide $2,300,000
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About Newport 2106

The size of Newport is approximately 3.8 square kilometres. There are 21 parks, covering nearly 9.6% of the total area. The population of Newport in 2016 was 9301 people. By 2021 the population was 9659 showing a population growth of 3.8% in the area during that time. The predominant age group in Newport is 50-59 years. Households in Newport are primarily couples with children and are likely to be repaying over $4000 per month on mortgage repayments. In general, people in Newport work in a professional occupation.In 2021, 75.70% of the homes in Newport were owner-occupied compared with 74.20% in 2016.

Newport has 4,561 properties. Over the last 5 years, Houses in Newport have seen a -6.65% decrease in median value, while Units have seen a 1.99% increase. As at 31 July 2026:

  • The median value for Houses in Newport is $2,701,152 while the median value for Units is $1,311,311.
  • Houses have a median rent of $1,400 while Units have a median rent of $825.
There are currently 33 properties listed for sale, and 21 properties listed for rent in Newport on OnTheHouse. According to Cotality's data, 169 properties were sold in the past 12 months in Newport.

Suburb Insights for Newport 2106

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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.