59/1-3 Delmar Parade, Dee Why, NSW 2099 | Property Value & History | OnTheHouse
OFF MARKET

59/1-3 Delmar Parade
Dee Why NSW 2099

Bedrooms: 1
Bathrooms: 1
Car spaces: 1
Floor area: 54m2
Land area: 3960m2
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Property Details for 59/1-3 Delmar Pde, Dee Why

59/1-3 Delmar Pde, Dee Why is a 1 bedroom, 1 bathroom Unit with 1 parking spaces and was built in 2001. The property has a land size of 3960m2 and floor size of 54m2. While the property is not currently for sale or for rent, it was last sold in March 2000.

Building Type
Unit
Year Built
2001
Floor Size
54m2
Land Size
3960m2
Local Government
Northern Beaches
Lot/Plan
59/SP66300

Last Listing description (July 2023)

FOR RENT: 1 bedroom apartment positioned in a well maintained security building

FEATURES: Peaceful light filled apartment, well sized bedroom with mirrored built in, spacious living area flows to a balcony, air-conditioning, modern kitchen with quality appliances includes dishwasher, sparkling bathroom & internal laundry.

PARKING: Security parking fo 1.

BUILDING FEATURES: Lap pool & sauna in complex plus lift access to all levels.

PETS: Unfortunately the apartment is not pet friendly.

CLOSE BY:

- 3 minute walk to Dee Why Grand Shops and Cafes
- 4 minute drive to Dee Why Beach
- 8 minute walk to Dee Why Main Bus Stop
- Westfield Warringah Mall 5 minutes by car
- Manly Wharf and restaurant strip 13 minutes by car

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Simply click on the 'Book Inspection' button to see available viewing times - if the times aren't suitable
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PLEASE NOTE** it is important that you register to inspect our properties so we are able to advise you of time changes, cancellations and price reductions.

Disclaimer: Whilst every care is taken in the preparation of the information contained in this marketing, Doyle Spillane Real Estate will not be held liable for any errors in typing or information. All interested parties should rely upon their own enquiries in order to determine whether or not this information is in fact accurate.

Property History for 59/1-3 Delmar Pde, Dee Why, NSW 2099

A timeline of how this property has performed in the market
Last Sold
$243,000
09 Mar 2000
Listed for Rent
$550/w
06 Jul 2023
  • 14 Jun 2023
    Listed for Rent $550 / week
  • 22 Aug 2014
    Listed for Rent - Price not available
  • 21 Nov 2012
    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 13,160 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 52 properties listed for rent in Dee why on OnTheHouse. According to Cotality's data, 637 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.