52/11 Dobell Drive, Wangi Wangi, NSW 2267 | Property Value & History | OnTheHouse
OFF MARKET

52/11 Dobell Drive
Wangi Wangi NSW 2267

Bedrooms: 2
Bathrooms: 2
Car spaces: 1
Floor area: 134m2
Land area: 18542m2
Estimated Value & Rent
Estimated Value
Estimated Rent
Confidence
Last updated 15 Dec 2025
Low

High
Save

Property Details for 52/11 Dobell Dr, Wangi Wangi

52/11 Dobell Dr, Wangi Wangi is a 2 bedroom, 2 bathroom Unit with 1 parking spaces and was built in 1998. The property has a land size of 18542m2 and floor size of 134m2.

Building Type
Unit
Year Built
1998
Floor Size
134m2
Land Size
18542m2
Local Government
Lake Macquarie

Last Listing description (December 2017)

One of the best units in the waterfront complex designed for over 55's. The outlook is simply breathtaking, with surprising north east panorama of the lake. The lift access from the garage, means 'No Stairs' into the unit and offers 2 double bedrooms plus study, ensuite to main and both with built-ins, functional spacious kitchen with stone benchtops, gas and electric cooking, a generous open plan living with air conditioning. Perfect tiled entertaining patio with gas and electric outlets. The unit has been recently painted, and new carpets included. Enjoy the new community/activities room, stroll along waterfront walk way to local shops, cafes & clubs.
Your new lifestyle awaits. Stamp duty is not payable on this purchase.

Property History for 52/11 Dobell Dr, Wangi Wangi, NSW 2267

A timeline of how this property has performed in the market
  • 16 Aug 2017
    Listed for Sale $550,000
Commute Calculator

About Wangi Wangi 2267

The size of Wangi Wangi is approximately 3.6 square kilometres. It has 7 parks covering nearly 23.5% of total area. The population of Wangi Wangi in 2016 was 2759 people. By 2021 the population was 2920 showing a population growth of 5.8% in the area during that time. The predominant age group in Wangi Wangi is 60-69 years. Households in Wangi Wangi are primarily childless couples and are likely to be repaying $1800 - $2399 per month on mortgage repayments. In general, people in Wangi Wangi work in a professional occupation.In 2021, 75.20% of the homes in Wangi Wangi were owner-occupied compared with 73.20% in 2016.

Wangi Wangi has 1,673 properties. Over the last 5 years, Houses in Wangi Wangi have seen a 68.46% increase in median value, while Units have seen a 56.49% increase. As at 30 November 2025:

  • The median value for Houses in Wangi Wangi is $930,518 while the median value for Units is $685,211.
  • Houses have a median rent of $628 while Units have a median rent of $410.
There are currently 17 properties listed for sale, and 8 properties listed for rent in Wangi wangi on OnTheHouse. According to Cotality's data, 56 properties were sold in the past 12 months in Wangi wangi.

Suburb Insights for Wangi Wangi 2267

Market Insights
Wangi Wangi 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
Wangi Wangi 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.