6109/370 Queen Street, Melbourne, VIC 3000 | Property Value & History | OnTheHouse
OFF MARKET

6109/370 Queen Street
Melbourne VIC 3000

Bedrooms: 2
Bathrooms: 2
Car spaces: -
Floor area: 63m2
Land area: 2832m2
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Property Details for 6109/370 Queen St, Melbourne

6109/370 Queen St, Melbourne is a 2 bedroom, 2 bathroom Unit and was built in 2020. The property has a land size of 2832m2 and floor size of 63m2. While the property is not currently for sale or for rent, it was last sold in December 2015.

Building Type
Unit
Year Built
2020
Floor Size
63m2
Land Size
2832m2
Local Government
Melbourne
Lot/Plan
6109/PS742711

Last Listing description (December 2023)

*Fully Furnished Option is Available at Extra Cost

Queens Place - Comprises of 2 80-storey residential towers with five-level podium, the precinct delivers an intimate and distinctly Melbourne experience at ground level, while adding a landmark urban scale sculpture to the cityscape.

Located in the prime of Melbourne on 350 Queens Street, it has an abundance of public transports is at your doorstep, there is easy access to the M1 & M2 freeway, and plenty of entertainment and shopping opportunities are all a moment's walk.

Resident facilities include:
2 spacious bedrooms with built-in robes
Master bedroom with ensuite
Open plan living and dining area with timber floorboards
Overlooking gorgeous views of the city
Unique retail precinct
Extensive retail including basement supermarket, boutique laneway, 5 level podium with gym, crche and office spaces
Resident amenities including pool, spa, private dining rooms, caterer's kitchen, wine cellar, games rooms, private cinemas, library, poker and mahjong room, garden terrace, karaoke suites, concierge, meeting room, valet parking and cigar bar

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Preferred rental payment method is via SimpleRent: Direct Debit from Bank Account ($1.10 inclusive of GST. per transaction) or Credit Card (Visa Master Card 1.98% / Amex 4.4% per transaction).

Property History for 6109/370 Queen St, Melbourne, VIC 3000

A timeline of how this property has performed in the market
Last Sold
$743,200
09 Dec 2015
Listed for Rent
$800/w
06 Dec 2023
  • 28 Nov 2023
    Listed for Rent $800 / week
  • 21 Nov 2022
    Listed for Rent $750 / week
  • 30 Nov 2021
    Listed for Rent $450 / week
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About Melbourne 3000

The size of Melbourne is approximately 2.7 square kilometres. It has 9 parks covering nearly 2.5% 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 64,268 properties. Over the last 5 years, Houses in Melbourne have seen a -6.38% decrease in median value, while Units have seen a -4.97% decrease. As at 31 March 2026:

  • The median value for Houses in Melbourne is $1,346,319 while the median value for Units is $439,159.
  • Houses have a median rent of $700 while Units have a median rent of $672.
There are currently 273 properties listed for sale, and 169 properties listed for rent in Melbourne on OnTheHouse. According to Cotality's data, 2687 properties were sold in the past 12 months in Melbourne.

Suburb Insights for Melbourne 3000

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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.