10/57 Delmar Parade, Dee Why, NSW 2099 | Property Value & History | OnTheHouse
OFF MARKET

10/57 Delmar Parade
Dee Why NSW 2099

Bedrooms: 1
Bathrooms: 1
Car spaces: 1
Land area: 131m2
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Property Details for 10/57 Delmar Pde, Dee Why

10/57 Delmar Pde, Dee Why is a 1 bedroom, 1 bathroom Unit with 1 parking spaces and was built in 2016. The property has a land size of 131m2. While the property is not currently for sale or for rent, it was last sold in August 2023.

Building Type
Unit
Year Built
2016
Land Size
131m2
Local Government
Northern Beaches
Lot/Plan
10/SP94624

Last Listing description (October 2025)

Discover the perfect combination of coastal lifestyle and everyday convenience in this beautifully presented home, ideally positioned just a short stroll from the golden sands and vibrant beachfront of Dee Why. Set within a highly sought-after and well-maintained complex, this light-filled and spacious residence is designed for easy, low-maintenance living. Whether you're soaking in the sea breeze from your balcony, exploring the nearby cafs and restaurants, or simply enjoying the peaceful ambiance of the Northern Beaches, this home offers a relaxed and modern lifestyle with everything you need just moments away. Property Features: - Designer kitchen featuring gas cooktop, oven, and integrated dishwasher- Full-sized bathroom with modern finishes and internal laundry (dryer included)- Queen-sized master bedroom with built-in wardrobe and direct balcony access- Separate study or flexible second room ideal as a home office or nursery- Spacious balcony equipped with water, power, gas connections, and dual access from the living area- Open-plan lounge and dining area with reverse cycle air conditioning and connectivity for phone, TV, and internet- Secure single car space within a well-maintained complex*PLEASE NOTE* It is important that you enquire to register for an inspection, so we are able to advise you of time changes, cancellations and price reductions.

Property History for 10/57 Delmar Pde, Dee Why, NSW 2099

A timeline of how this property has performed in the market
Last Sold
$1,550,000
25 Aug 2023
Listed for Rent
$550/w
14 Dec 2020
  • 01 Oct 2025
    Listed for Rent $700 / week
  • 25 Aug 2023
    Sold for $1,550,000
  • 23 Nov 2020
    Listed for Rent $550 / week
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About Dee Why 2099

The size of Dee Why is approximately 3.4 square kilometres. It has 11 parks covering nearly 15.0% of total area. The population of Dee Why in 2016 was 21518 people. By 2021 the population was 23354 showing a population growth of 8.5% in the area during that time. The predominant age group in Dee Why is 30-39 years. Households in Dee Why are primarily childless couples and are likely to be repaying $1800 - $2399 per month on mortgage repayments. In general, people in Dee Why work in a professional occupation.In 2021, 50.20% of the homes in Dee Why were owner-occupied compared with 50.30% in 2016.

Dee Why has 13,159 properties. Over the last 5 years, Houses in Dee Why have seen a 50.77% increase in median value, while Units have seen a 34.98% increase. As at 30 November 2025:

  • The median value for Houses in Dee Why is $2,847,257 while the median value for Units is $1,100,000.
  • Houses have a median rent of $780 while Units have a median rent of $750.
There are currently 34 properties listed for sale, and 51 properties listed for rent in Dee why on OnTheHouse. According to Cotality's data, 628 properties were sold in the past 12 months in Dee why.

Suburb Insights for Dee Why 2099

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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.