32 Pavilion Street, Queenscliff, NSW 2096 | Property Value & History | OnTheHouse
OFF MARKET

32 Pavilion Street
Queenscliff NSW 2096

Bedrooms: 4
Bathrooms: 3
Car spaces: 2
Floor area: 223m2
Land area: 315m2
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Property Details for 32 Pavilion St, Queenscliff

32 Pavilion St, Queenscliff is a 4 bedroom, 3 bathroom House with 2 parking spaces and was built in 1975. The property has a land size of 315m2 and floor size of 223m2.

Building Type
House
Year Built
1975
Floor Size
223m2
Land Size
315m2
Local Government
Northern Beaches
Lot/Plan
1/DP927090

Last Listing description (August 2025)

Iconic floor-to-ceiling Manly Beach and ocean views set the tone for this breath-taking tri-level residence. Architecturally designed to embrace its clifftop setting, this home offers effortless modern luxury in a prestigious coastal location. A stunning chefs kitchen with maple cabinetry, CaesarStone benchtops, and a magnificent 10-burner gas stove anchors the open-plan living and dining areas, which flow seamlessly to undercover alfresco spacesperfect for entertaining and family living.

* Floor-to-ceiling windows capturing panoramic ocean, beach, and city skyline views
* Sunlit open-plan living and dining areas with high ceilings and air conditioning

* Quality tiled and polished timber flooring throughout
* Chefs kitchen with stone island benchtop, stainless steel 10-burner gas cooktop, and premium appliances
* Seamless indoor/outdoor transitions with covered alfresco entertaining spaces
* Well-sized bedrooms, three with built-in robes
* Master with ensuite, walk-in wardrobe, and private courtyard access
* Versatile lower-level store room with separate entry
* Internal access to a double garage, plus additional off-street parking
* Freshwater Village, with its boutique shops and beachside dining, is just a short stroll away, including the iconic Harbord Hotel
* Convenient transport links provide an easy connection to Manly Wharf, or enjoy a scenic beachfront walk into Manly town

Property History for 32 Pavilion St, Queenscliff, NSW 2096

A timeline of how this property has performed in the market
Listed for Rent
$2.50k/w
06 May 2025
  • 02 Apr 2025
    Listed for Rent $2,495 / week
  • 17 Nov 2022
    Listed for Rent $2,250 / week
  • 04 May 2022
    Listed for Sale Contact Agent
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About Queenscliff 2096

The size of Queenscliff is approximately 0.4 square kilometres. It has 1 park covering nearly 2.8% of total area. The population of Queenscliff in 2016 was 3376 people. By 2021 the population was 3407 showing a population growth of 0.9% in the area during that time. The predominant age group in Queenscliff is 30-39 years. Households in Queenscliff are primarily childless couples and are likely to be repaying over $4000 per month on mortgage repayments. In general, people in Queenscliff work in a professional occupation.In 2021, 53.30% of the homes in Queenscliff were owner-occupied compared with 51.90% in 2016.

Queenscliff has 1,962 properties. Over the last 5 years, Houses in Queenscliff have seen a 52.22% increase in median value, while Units have seen a 39.23% increase. As at 31 December 2025:

  • The median value for Houses in Queenscliff is $3,985,846 while the median value for Units is $1,427,532.
  • Houses have a median rent of $1,000 while Units have a median rent of $900.
There are currently 6 properties listed for sale, and 7 properties listed for rent in Queenscliff on OnTheHouse. According to Cotality's data, 104 properties were sold in the past 12 months in Queenscliff.

Suburb Insights for Queenscliff 2096

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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.