19/75 Queens Road, Melbourne, VIC 3004 | Property Value & History | OnTheHouse
OFF MARKET

19/75 Queens Road
Melbourne VIC 3004

Bedrooms: 3
Bathrooms: 1
Car spaces: -
Floor area: 78m2
Land area: 1862m2
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Property Details for 19/75 Queens Rd, Melbourne

19/75 Queens Rd, Melbourne is a 3 bedroom, 1 bathroom Unit and was built in 1950. The property has a land size of 1862m2 and floor size of 78m2. While the property is not currently for sale or for rent, it was last transferred in May 2024.

Building Type
Unit
Year Built
1950
Floor Size
78m2
Land Size
1862m2
Local Government
Port Phillip
Lot/Plan
19/RP15972

Last Listing description (April 2026)

PLEASE NOTE: Open for Inspection Times and Property Availability are subject to change or cancellation. If you wish to be notified of any cancellations or changes, please register your details for an inspection.

This larger-than-usual apartment offers stunning views across Albert Park Lake and the Melbourne CBD, delivering space, natural light and lifestyle convenience in one impressive package. Beautifully presented throughout, the home combines period charm with modern updates.

Featuring:

- Welcoming entrance hall
- Spacious lounge with heating and access to an undercover balcony with lake and city views
- Three generous double bedrooms, all with built-in robes
- Semi open-plan modern kitchen with stainless steel appliances, gas cooktop and dishwasher
- Renovated bathroom with shower over bath
- Separate laundry
- Polished quality flooring throughout
- Double glazing for added comfort
- Allocated car space
- Water is INCLUDED ON RENT!

Ideally positioned within walking distance to Albert Park Lake, the CBD, St Kilda Road and Fitzroy Street, with excellent public transport options and convenient freeway access nearby. Entry is via Queens Road, from the rear of the block between Lorne and Union Streets.

Offering generous proportions, abundant natural light and an unbeatable location, this apartment presents an exceptional rental opportunity.

Property History for 19/75 Queens Rd, Melbourne, VIC 3004

A timeline of how this property has performed in the market
Last Transferred
10 May 2024
Listed for Rent
$650/w
14 Jul 2023
  • 25 Feb 2026
    Listed for Rent $750 / week
  • 10 May 2024
    Transferred
  • 23 Jun 2023
    Listed for Rent $650 / week
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About Melbourne 3004

The size of Melbourne is approximately 3.8 square kilometres. It has 14 parks covering nearly 74.2% of total area. The population of Melbourne in 2016 was 47285 people. By 2021 the population was 54941 showing a population growth of 16.2% in the area during that time. The predominant age group in Melbourne is 20-29 years. Households in Melbourne are primarily childless couples and are likely to be repaying $1800 - $2399 per month on mortgage repayments. In general, people in Melbourne work in a professional occupation.In 2021, 25.80% of the homes in Melbourne were owner-occupied compared with 29.00% in 2016.

Melbourne has 13,704 properties. Over the last 5 years, Houses in Melbourne have seen a -2.43% decrease in median value, while Units have seen a -0.76% decrease. As at 31 March 2026:

  • The median value for Houses in Melbourne is $1,558,796 while the median value for Units is $649,600.
  • Houses have a median rent of $720 while Units have a median rent of $650.
There are currently 72 properties listed for sale, and 44 properties listed for rent in Melbourne on OnTheHouse. According to Cotality's data, 672 properties were sold in the past 12 months in Melbourne.

Suburb Insights for Melbourne 3004

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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.