5101/10 Sturdee Parade, Dee Why, NSW 2099 sold on 21 October 2025 | OnTheHouse
SOLD
Sold on 21 Oct 2025 for $1,115,000

5101/10 Sturdee Parade
Dee Why NSW 2099

Bedrooms: 2
Bathrooms: 2
Car spaces: 1
Floor area: 80m2
Land area: 5m2
Sold By
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Whitehouse Real Estate - Balgowlah
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Property Details for 5101/10 Sturdee Pde, Dee Why

5101/10 Sturdee Pde, Dee Why is a 2 bedroom, 2 bathroom Unit with 1 parking spaces and was built in 2010. The property has a land size of 5m2 and floor size of 80m2. While the property is not currently for sale or for rent, it was last sold in October 2025. There are other 2 bedroom Unit sold in Dee Why in the last 12 months.

Building Type
Unit
Year Built
2010
Floor Size
80m2
Land Size
5m2
Local Government
Northern Beaches
Lot/Plan
128/SP83746

Last Listing description (December 2025)

Enjoy resort style living in this generously proportioned light filled 2-bedroom, north-facing courtyard apartment.Located in the "Grand" with direct shopping centre access and moments to Dee Why Beach, this apartment epitomises relaxed modern living within an urban landscape.- Showcasing a refreshed neutral palette with quality appointments, spacious - - open plan interiors flow seamlessly to the private fully enclosed entertainer's courtyard.- Sleek stone crafted gas kitchen incorporates stainless steel appliances and ample soft close cabinetry.- 2x generous bedrooms with floor to ceiling mirrored robes.- Contemporary ensuite & master bath with feature mosaic tile, frameless mirror cabinetry & glass screens.- European style laundry with adjoining linen press.- Secure underbuilding car space with access to shared car wash bay.- Pet friendly building.- Luxury complex facilities include-:- Manicured gardens & BBQ podiums- Resident gym access- 20 metre heated swimming pool- Onsite building manager.Coastal walks, stunning Dee Why Beach, waterside eateries, bars & boutiques are all here for you to enjoy, providing an enviable lifestyle opportunity that is simply hard to beat.

Property History for 5101/10 Sturdee Pde, Dee Why, NSW 2099

A timeline of how this property has performed in the market
Last Sold
$1,115,000
21 Oct 2025
Listed for Rent
$750/w
01 Oct 2022
  • 21 Oct 2025
    Sold for $1,115,000
  • 13 Aug 2025
    Listed for Sale SOLD - $1,115,000
  • 19 Sep 2022
    Listed for Rent - Price not available
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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.