59 Holmes Road, Long Gully, VIC 3550 | Property Value & History | OnTheHouse
OFF MARKET

59 Holmes Road
Long Gully VIC 3550

Bedrooms: 3
Bathrooms: 2
Car spaces: 2
Floor area: 120m2
Land area: 450m2
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Property Details for 59 Holmes Rd, Long Gully

59 Holmes Rd, Long Gully is a 3 bedroom, 2 bathroom House with 2 parking spaces and was built in 2012. The property has a land size of 450m2 and floor size of 120m2. While the property is not currently for sale or for rent, it was last sold in March 2024.

Building Type
House
Year Built
2012
Floor Size
120m2
Land Size
450m2
Local Government
Greater Bendigo
Lot/Plan
1/PS501955

Last Listing description (May 2024)

This convenient home boasts 3 bedrooms, 2 bathrooms, a drive through garage and is situated on a spacious 450sqm lot. Perfect for first home owners, downsizers or investors, you don't want to miss this one.

Walking through the front door, you're welcomed into an expansive front living area. The open layout seamlessly connects the kitchen and dining area, with plenty of room for family. The main bedroom is situated at the rear of the home, featuring a large walk in wardrobe and newly renovated ensuite. The remaining two bedrooms feature built in wardrobes and share a family bathroom which has also been renovated. Enjoy the luxury of fresh paint and brand-new carpet, move in ready for its next owner.

Experience the benefit of drive-through access, ideal for trailers, campervans or additional parking needs. The low-maintenance backyard offers a spacious lawn area, plenty of room for pets or children to play.

Located only minutes from the Bendigo CBD, this property offers easy access to public transport, local amenities, and recreational attractions. Enjoy the close proximity to the RSL, Bendigo Showgrounds, Bendigo Hospital and Lake Weeroona.

Seize the opportunity to secure a modern and conveniently located home. Reach out with our team for more information!

Property History for 59 Holmes Rd, Long Gully, VIC 3550

A timeline of how this property has performed in the market
Last Sold
$460,000
19 Mar 2024
Listed for Rent
$330/w
24 Aug 2020
  • 19 Mar 2024
    Sold for $460,000
  • 05 Mar 2024
    Listed for Sale $450,000 - $490,000
  • 24 Aug 2020
    Listed for Rent $330 / week
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About Long Gully 3550

The size of Long Gully is approximately 3.4 square kilometres. It has 3 parks covering nearly 2.0% of total area. The population of Long Gully in 2016 was 3383 people. By 2021 the population was 3420 showing a population growth of 1.1% in the area during that time. The predominant age group in Long Gully is 20-29 years. Households in Long Gully are primarily childless couples and are likely to be repaying $1000 - $1399 per month on mortgage repayments. In general, people in Long Gully work in a community and personal service occupation.In 2021, 53.60% of the homes in Long Gully were owner-occupied compared with 53.30% in 2016.

Long Gully has 1,922 properties. Over the last 5 years, Houses in Long Gully have seen a 46.39% increase in median value, while Units have seen a 51.91% increase. As at 30 November 2025:

  • The median value for Houses in Long Gully is $528,173 while the median value for Units is $432,117.
  • Houses have a median rent of $460 while Units have a median rent of $460.
There are currently 6 properties listed for sale, and 1 property listed for rent in Long gully on OnTheHouse. According to Cotality's data, 112 properties were sold in the past 12 months in Long gully.

Suburb Insights for Long Gully 3550

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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.