211/4 Delmar Parade, Dee Why, NSW 2099 sold on 02 February 2026 | OnTheHouse
SOLD
RECENT ADVICE
Sold on 02 Feb 2026 for $1,275,000

211/4 Delmar Parade
Dee Why NSW 2099

Bedrooms: 2
Bathrooms: 2
Car spaces: 1
Land area: 93m2
Save

Property Details for 211/4 Delmar Pde, Dee Why

211/4 Delmar Pde, Dee Why is a 2 bedroom, 2 bathroom Apartment with 1 parking spaces. The property has a land size of 93m2. While the property is not currently for sale or for rent, it was last sold in February 2026. There are other 2 bedroom Apartment sold in Dee Why in the last 12 months.

Building Type
Apartment
Land Size
93m2

Last Listing description (February 2026)

| Contemporary show stopper with the lot
| Impeccable finishes with seamless indoor to outdoor flow
| Enormous living with a spectacular kitchen playing centre stage

| Enjoy the breakfast bar, stone finishes & European appliances
| XXL living area flows to colossal L shaped terrace
| Sleep on cloud 9 with a choice of two spacious bedrooms
| Stylish main bathroom, master with pristine ensuite
| Bright contemporary interiors enhanced by quality finishes throughout
| An exceptional floorplan
| Secure car space with bonus enormous storage cage
| Full security building with level lift access in a top location
| Transport & everything at your door

Property History for 211/4 Delmar Pde, Dee Why, NSW 2099

A timeline of how this property has performed in the market
Last Sold
$1,275,000
02 Feb 2026
  • 02 Feb 2026
    Listed for Sale SOLD BY ALEX MURAS 0498976196
  • 02 Feb 2026
    Sold for $1,275,000
Commute Calculator

About Dee Why 2099

The size of Dee Why is approximately 3.4 square kilometres. There are 11 parks, covering nearly 15.0% of the 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 13,242 properties. Over the last 5 years, Houses in Dee Why have seen a 19.14% increase in median value, while Units have seen a 19.33% increase. As at 30 April 2026:

  • The median value for Houses in Dee Why is $2,807,083 while the median value for Units is $1,112,304.
  • Houses have a median rent of $1,325 while Units have a median rent of $790.
There are currently 60 properties listed for sale, and 56 properties listed for rent in Dee why on OnTheHouse. According to Cotality's data, 630 properties were sold in the past 12 months in Dee why.

Suburb Insights for Dee Why 2099

Market Insights
Dee Why Trends for Houses
Median Value

N/A

-
View Trend
Median Growth

N/A

View Trend
Median Rent

N/A

-
View Trend
Rental Yield

N/A

-
View Trend
Median Value: The middle value of all properties across the geography based on the Automated Valuation Model.


Median Value over 1 year
Dee Why Trends for Units
Median Value

N/A

-
View Trend
Median Growth

N/A

View Trend
Median Rent

N/A

-
View Trend
Rental Yield

N/A

-
View Trend
Median Value: The middle value of all properties across the geography based on the Automated Valuation Model.


Median Value over 1 year
Neighbourhood Insights
Age
Household
Occupancy
No data to show
Contact agent
agent headshot
Alex Muras
Show contact details
NOVAK - Northern Beaches
Preferred contact:
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.