76 Maud Street, Geelong, VIC 3220 | Property Value & History | OnTheHouse
OFF MARKET

76 Maud Street
Geelong VIC 3220

Bedrooms: 3
Bathrooms: 1
Car spaces: 2
Floor area: 166m2
Land area: 362m2
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Property Details for 76 Maud St, Geelong

76 Maud St, Geelong is a 3 bedroom, 1 bathroom House with 2 parking spaces and was built in 1900. The property has a land size of 362m2 and floor size of 166m2. While the property is not currently for sale or for rent, it was last transferred in August 2016.

Building Type
House
Year Built
1900
Floor Size
166m2
Land Size
362m2
Local Government
Greater Geelong
Lot/Plan
1/TP577363

Last Listing description (July 2012)

This lovely Federation home was originally built in 1911 by Charles Fagg (Grandfather of Mayoral candidate Keith) and used quality materials from Fagg Bros Timber & Hardware store. Features include 3 bedrooms, study, family bathroom, kitchen and two living areas. Having been refurbished throughout the interiors have been styled with finesse and feature a classic neutral colour palette with many stand out features. When built early in the last century, this would have been a large home by the standards of the day. Whilst it still remains so in the present day, the current owners have had plans prepared which could allow the new owners the ability to extend to provide 2 additional bedrooms, ensuite, and further living area. These plans also include a separate garage from the very good rear lane access which would provide car accommodation for 3, 4 or 5 vehicles not to mention the addition of a new studio. Situated in a well sought after lovely street which is a hidden pocket in the city, interest is always high when properties in this street come up for sale. The home is close to Kardinia Park, Central Geelong, The Hospital Precinct, The Barwon River, Eastern Gardens and Eastern Beach are all within walking distance and the property has access to all services and amenities. 100 years young and looking for a second century! An inspection will not disappoint!


Property History for 76 Maud St, Geelong, VIC 3220

A timeline of how this property has performed in the market
Last Transferred
05 Aug 2016
Listed for Rent
$450/w
11 Mar 2010
  • 05 Aug 2016
    Transferred
  • 21 Jul 2012
    Sold for $640,000
  • 26 Jun 2012
    Listed for Sale Not Disclosed
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About Geelong 3220

The size of Geelong is approximately 3.3 square kilometres. It has 17 parks covering nearly 8.9% of total area. The population of Geelong in 2016 was 5210 people. By 2021 the population was 5811 showing a population growth of 11.5% in the area during that time. The predominant age group in Geelong is 20-29 years. Households in Geelong are primarily childless couples and are likely to be repaying $1800 - $2399 per month on mortgage repayments. In general, people in Geelong work in a professional occupation.In 2021, 53.60% of the homes in Geelong were owner-occupied compared with 54.00% in 2016.

Geelong has 6,471 properties. Over the last 5 years, Houses in Geelong have seen a 18.89% increase in median value, while Units have seen a 5.03% increase. As at 31 December 2025:

  • The median value for Houses in Geelong is $864,626 while the median value for Units is $653,252.
  • Houses have a median rent of $545 while Units have a median rent of $500.
There are currently 37 properties listed for sale, and 15 properties listed for rent in Geelong on OnTheHouse. According to Cotality's data, 198 properties were sold in the past 12 months in Geelong.

Suburb Insights for Geelong 3220

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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.