356 Forest Road, Bexley, NSW 2207 | Property Value & History | OnTheHouse
OFF MARKET

356 Forest Road
Bexley NSW 2207

Bedrooms: -
Bathrooms: -
Car spaces: -
Floor area: 650m2
Land area: 285m2
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Property Details for 356 Forest Rd, Bexley

Building Type
Commercial
Year Built
1925
Floor Size
650m2
Land Size
285m2
Local Government
Bayside
Lot/Plan
A/DP356310

Last Listing description (March 2025)

RWC City Fringe is excited to present a unique commercial opportunity featuring two titles in the heart of the Bexley retail precinct.

This commercial property can be sold as two separate titles or sold as one title together. Offers submitted prior to EOI closing date will be considered.

The first title includes 7 ground floor highly exposed commercial shops with 4 oversized residential units on level 1. The second title adjacent to this property consists of a ground floor shop and an oversized 2 bedroom residence on level 1, both properties situated at the corner of Forest Road and Harrow Road, Bexley.

Located in a prime retail area within the Bexley precinct, this property is just 1.1 km from Rockdale Train Station, 5 km from Sydney Airport, 3.3 km from the beaches at Brighton-Le-Sands, and 14 km from Sydney CBD. Bexley is experiencing significant growth in both land value and investment potential.

Key property features:

- Total land area: 815sqm*
- Prime corner position with substantial land holding
- Zoned MU1 Mixed-Use
- Potential use for new development/boarding house**
- Title One: Comprises of 7 highly exposed commercial shops with 4 oversized residential units
- Title Two: Ground Floor shop & oversized 2 bedroom residence on level 1
- Ample street parking and Council car park nearby
- Multi-income asset

For more information or to arrange an inspection, please get in contact with the agents below:

Kamal Silwal
Director Sales & Leasing
RWC Sydney City Fringe
0430 322 459

Kristian Morris
Principal and Licensee in Charge
RWC Sydney City Fringe
0411 415 297

*Approx.
** Subject to council approval

Property History for 356 Forest Rd, Bexley, NSW 2207

A timeline of how this property has performed in the market
Last Sold
$1,375,000
25 Sep 2015
Listed for Rent
$450/w
15 Apr 2019
  • 31 May 2024
    Listed for Sale Contact Agent
  • 12 Sep 2022
    Listed for Sale Contact Agent
  • 07 Jul 2020
    Listed for Sale Offers Welcome
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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 8,347 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 17 properties listed for sale, and 25 properties listed for rent in Bexley on OnTheHouse. According to Cotality's data, 295 properties were sold in the past 12 months in Bexley.

Suburb Insights for Bexley 2207

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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.