12 Seaforth Street, Bexley, NSW 2207 | Property Value & History | OnTheHouse
OFF MARKET

12 Seaforth Street
Bexley NSW 2207

Bedrooms: 6
Bathrooms: 3
Car spaces: 4
Land area: 622m2
Estimated Value & Rent
Estimated Value
Estimated Rent
Confidence
Last updated 19 Jan 2026
Low

High
Save

Property Details for 12 Seaforth St, Bexley

12 Seaforth St, Bexley is a 6 bedroom, 3 bathroom House with 4 parking spaces and was built in 1896. The property has a land size of 622m2. While the property is not currently for sale or for rent, it was last sold in April 2020.

Building Type
House
Year Built
1896
Land Size
622m2
Local Government
Bayside
Lot/Plan
2/DP217473

Last Listing description (July 2020)

Perched on the high side and situated directly opposite Seaforth Park here is a wonderful opportunity to live comfortably in an exceptional semi in a top location. A block this size clearly offers scope to add, extend, maybe build a granny flat - all subject to council of course. With soaring high ceilings the clean bright and fresh property has real character with its 3 fireplaces along with polished timber flooring. Separate yet open in plan there are lounge and dining areas plus a private covered alfresco space leading out to the huge yard. With a lovely young kitchen this is one to plan a happy life in.

Property History for 12 Seaforth St, Bexley, NSW 2207

A timeline of how this property has performed in the market
Last Sold
$1,140,000
28 Apr 2020
Listed for Rent
$520/w
07 Sep 2012
  • 28 Apr 2020
    Sold for $1,140,000
  • 24 Feb 2020
    Listed for Sale Sold By Steven Pentland 0415 390 882
  • 15 Aug 2012
    Listed for Rent $520 / week
Sign in to see more transactions
Commute Calculator

About Bexley 2207

The size of Bexley is approximately 4.3 square kilometres. It has 18 parks covering nearly 11.8% of total area. The population of Bexley in 2016 was 19733 people. By 2021 the population was 19646 showing a population decline of 0.4% in the area during that time. The predominant age group in Bexley is 30-39 years. Households in Bexley are primarily couples with children and are likely to be repaying $3000 - $3999 per month on mortgage repayments. In general, people in Bexley work in a professional occupation.In 2021, 71.20% of the homes in Bexley were owner-occupied compared with 70.50% in 2016.

Bexley has 8,329 properties. Over the last 5 years, Houses in Bexley have seen a 57.35% increase in median value, while Units have seen a 18.28% increase. As at 31 December 2025:

  • The median value for Houses in Bexley is $1,857,838 while the median value for Units is $785,105.
  • Houses have a median rent of $845 while Units have a median rent of $630.
There are currently 19 properties listed for sale, and 24 properties listed for rent in Bexley on OnTheHouse. According to Cotality's data, 298 properties were sold in the past 12 months in Bexley.

Suburb Insights for Bexley 2207

Market Insights
Bexley 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
Bexley 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.