22/173-177 Merthyr Road, New Farm, QLD 4005 | Property Value & History | OnTheHouse
OFF MARKET

22/173-177 Merthyr Road
New Farm QLD 4005

Bedrooms: 1
Bathrooms: 1
Car spaces: -
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Last updated 24 Aug 2026
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Property Details for 22/173-177 Merthyr Rd, New Farm

22/173-177 Merthyr Rd, New Farm is a 1 bedroom, 1 bathroom Unit.

Building Type
Unit
Local Government
Brisbane

Last Listing description (June 2022)

This spacious, light and airy apartment boasts an open floor plan with combined lounge and dining areas which open onto a full width covered north-east facing balcony.

* 1 Spacious Bedroom
* Separate dining and lounge

* Large kitchen with dishwasher
* Large balcony
* Secure Complex with Intercom
* Complex Pool
* Secure Garage Parking

**** IT IS ESSENTIAL TO REGISTER FOR EITHER THE INSPECTIONS LISTED OR REQUEST OTHER TIMES. REFER TO INSTRUCTIONS BELOW.****

*** HOW TO BOOK AN INSPECTION ****

1. realestate.com.au - press the "BOOK AN INSPECTION TIME" button located on the right hand side of the page
2. innerbrisbane.com - press the "BOOK INSPECTION" button located on the right hand side
3. All other websites - use the "EMAIL AGENT" facility

IT IS IMPORTANT TO REGISTER even if there are no inspection times set because if no-one registers then the inspection will not proceed. If there are no times set for an inspection you will be advised as soon as it becomes available. Registering also means that you will be informed of any updates, changes or cancellations.

HOW TO INSPECT THIS PROPERTY
Arranging inspections is easy.
Simply go to our website: www.innerbrisbane.com.au and click the BOOK INSPECTION button.
Then enter your details and choose an appointment time that suits YOU.

Alternatively, you can access the appointment page by clicking the VIRTUAL TOUR link which is located below this properties availability date.

You will be INSTANTLY informed of any updates, changes or cancellations for your appointment.

If no one registers for an appointment time - then that appointment may not proceed.
So DON'T MISS OUT book for an appointment today

Property History for 22/173-177 Merthyr Rd, New Farm, QLD 4005

A timeline of how this property has performed in the market
Listed for Rent
$440/w
14 Jun 2022
  • 13 Jun 2022
    Listed for Rent $440 / week
  • 04 Jun 2021
    Listed for Rent $420 / week
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About New Farm 4005

The size of New Farm is approximately 2.5 square kilometres. There are 4 parks, covering nearly 9.1% of the total area. The population of New Farm in 2016 was 12542 people. By 2021 the population was 12197 showing a population decline of 2.8% in the area during that time. The predominant age group in New Farm is 30-39 years. Households in New Farm are primarily childless couples and are likely to be repaying over $4000 per month on mortgage repayments. In general, people in New Farm work in a professional occupation.In 2021, 44.00% of the homes in New Farm were owner-occupied compared with 39.70% in 2016.

New Farm has 7,941 properties. Over the last 5 years, Houses in New Farm have seen a 56.77% increase in median value, while Units have seen a 75.09% increase. As at 31 July 2026:

  • The median value for Houses in New Farm is $3,293,049 while the median value for Units is $1,215,198.
  • Houses have a median rent of $1,150 while Units have a median rent of $680.
There are currently 44 properties listed for sale, and 18 properties listed for rent in New farm on OnTheHouse. According to Cotality's data, 316 properties were sold in the past 12 months in New farm.

Suburb Insights for New Farm 4005

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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.