60/1-3 Delmar Parade, Dee Why, NSW 2099 | Property Value & History | OnTheHouse
OFF MARKET

60/1-3 Delmar Parade
Dee Why NSW 2099

Bedrooms: 2
Bathrooms: 2
Car spaces: 1
Floor area: 74m2
Land area: 3960m2
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Property Details for 60/1-3 Delmar Pde, Dee Why

Building Type
Commercial
Year Built
2001
Floor Size
74m2
Land Size
3960m2
Local Government
Northern Beaches
Lot/Plan
60/SP66300

Last Listing description (March 2022)

Modern design, quality finishes and a newly renovated kitchen blend perfectly to provide a warm and welcoming ambience, while the interiors are flooded with coastal breezes and natural light. Offering two large bedrooms, a wonderfully spacious open plan living area that flows seamlessly to a sun-bathed balcony, this apartment is the perfect entertainer.

Located within a quality development with a pool and convenient to city transport, this wonderfully modern open plan apartment is everything you have been looking for right in the heart of Dee Why. The apartment enjoys easy access to Dee Why Beach, shops and local cafs. Ready to lease today.

- North-facing aspect

- Spacious lounge and dining area
- Floating timber floors throughout
- All bedrooms have built-in mirror wardrobes
- All windows have blinds
- Open plan granite kitchen with oven
- Gas cooktop
- Dishwasher
- Ensuite to the main bedroom
- Main Bathroom
- Internal laundry area in the bathroom
- Balcony with a wall-mounted folding frame clothesline
- Lift direct to carpark
- Underground parking with one dedicated car spot
- Visitor parking available
- Secured building with intercom
- Low-rise building with only 4 floors
- Indoor swimming pool
- Spa
- Sauna
- Unfurnished
- No dogs (other pets need strata approval)~Ad~

To arrange an inspection, please see the open for inspection times, or view Property Id 1732 on the 'For Rent' page on the RealRenta website, and contact the property manager to arrange another viewing time.

Open for Inspection Times
Saturday 26/03/2022 11:00 AM to 11:30 AM

Property History for 60/1-3 Delmar Pde, Dee Why, NSW 2099

A timeline of how this property has performed in the market
Last Sold
$752,000
18 Nov 2019
Listed for Rent
$680/w
28 Mar 2022
  • 19 Jan 2022
    Listed for Rent $680 / week
  • 21 Oct 2021
    Listed for Rent $700 / week
  • 10 Mar 2021
    Listed for Rent $640 / 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 13,154 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 35 properties listed for sale, and 52 properties listed for rent in Dee why on OnTheHouse. According to Cotality's data, 636 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.