176A Prince Charles Parade, Kurnell, NSW 2231 | Property Value & History | OnTheHouse
OFF MARKET

176A Prince Charles Parade
Kurnell NSW 2231

Bedrooms: 1
Bathrooms: 1
Car spaces: 1
Estimated Value & Rent
Estimated Value
Estimated Rent
Confidence
Last updated 21 Sep 2026
Low

High
Save

Property Details for 176a Prince Charles Pde, Kurnell

176a Prince Charles Pde, Kurnell is a 1 bedroom, 1 bathroom Unit with 1 parking spaces and was built in 2015.

Building Type
Unit
Year Built
2015
Local Government
Sutherland

Last Listing description (May 2026)

Ultimate Coastal Lifestyle - 1 Bedroom Cottage

Experience the coastal lifestyle in this freshly painted, secure one bedroom granny flat, just a short stroll from the pristine beaches of Kurnell. Positioned in a relaxed beachside setting, this well-presented home offers easy access to local cafs, parks, and scenic walking trails, creating a convenient and low-maintenance lifestyle.

Featuring:
- Well-sized, separate bedroom and living area

- New Ceiling Fan / Light in bedroom
- High ceilings with exposed timber beams
- Ensuite includes shower, new vanity & mirrored cabinet
- Galley kitchen with internal laundry facilities
- Sunny outdoor patio is ideal for unwinding
- Water usage is included in rent

Don't miss this opportunity to secure this charming home in a sought-after beachside location!

Property History for 176a Prince Charles Pde, Kurnell, NSW 2231

A timeline of how this property has performed in the market
  • 08 Apr 2026
    Listed for Rent $595 per week
  • 30 Jan 2023
    Listed for Rent - Price not available
  • 06 Nov 2019
    Listed for Rent PW $340 pw
Sign in to see more transactions
Commute Calculator

About Kurnell 2231

The size of Kurnell is approximately 24.5 square kilometres. There are 15 parks, covering nearly 53.0% of the total area. The population of Kurnell in 2016 was 2267 people. By 2021 the population was 2528 showing a population growth of 11.5% in the area during that time. The predominant age group in Kurnell is 0-9 years. Households in Kurnell are primarily couples with children and are likely to be repaying $3000 - $3999 per month on mortgage repayments. In general, people in Kurnell work in a trades occupation.In 2021, 80.80% of the homes in Kurnell were owner-occupied compared with 81.60% in 2016.

Kurnell has 1,201 properties. Over the last 5 years, Houses in Kurnell have seen a 34.83% increase in median value, while Units have seen a 24.53% increase. As at 31 August 2026:

  • The median value for Houses in Kurnell is $2,377,546 while the median value for Units is $1,319,105.
  • Houses have a median rent of $1,025 while Units have a median rent of $765.
There are currently 1 property listed for sale, and 3 properties listed for rent in Kurnell on OnTheHouse. According to Cotality's data, 39 properties were sold in the past 12 months in Kurnell.

Suburb Insights for Kurnell 2231

Market Insights
Kurnell 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
Kurnell 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
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.