10/9 Watson Street, Pialba, QLD 4655 | Property Value & History | OnTheHouse
OFF MARKET

10/9 Watson Street
Pialba QLD 4655

Bedrooms: 3
Bathrooms: 2
Car spaces: 1
Floor area: 123m2
Land area: 161m2
We do not have enough data to display the calculated estimate for this property.
Save

Property Details for 10/9 Watson St, Pialba

Building Type
Commercial
Year Built
2008
Floor Size
123m2
Land Size
161m2
Local Government
Fraser Coast Regional
Lot/Plan
10/SP177738

Last Listing description (November 2025)

Use code 2712 when calling - do not txt

Modern 3 bedroom/2-bathroom townhouse in a gated complex. Fantastic location-walking distance to beach, shopping centers, USQ Uni, schools, library, wet side water park, playground and more. Spacious kitchen with plenty of bench space, the master bedroom has a large walk-in robe and a double vanity ensuite. The townhouse has ducted cooling/heating and ceiling fans throughout to keep you comfortable all year round. Relax by the pool or in the privacy of your rear yard. Available for a six-month lease. Sorry no pets. Inspection by appointment only.


To book an inspection please use the RED 'Contact Agent' tab (on a desktop) or RED 'Contact Agent' (on an Android, iPhone or iPad) which will go directly to the person managing the property.

Property History for 10/9 Watson St, Pialba, QLD 4655

A timeline of how this property has performed in the market
Last Sold
$310,000
29 Feb 2016
Listed for Rent
$550/w
17 Nov 2025
  • 17 Nov 2025
    Listed for Rent - Price not available
  • 29 May 2019
    Listed for Rent - Price not available
  • 29 Feb 2016
    Sold for $310,000
Sign in to see more transactions
Commute Calculator

About Pialba 4655

The size of Pialba is approximately 4.9 square kilometres. It has 13 parks covering nearly 20.2% of total area. The population of Pialba in 2016 was 3678 people. By 2021 the population was 4151 showing a population growth of 12.9% in the area during that time. The predominant age group in Pialba is 60-69 years. Households in Pialba are primarily childless couples and are likely to be repaying $1000 - $1399 per month on mortgage repayments. In general, people in Pialba work in a professional occupation.In 2021, 54.00% of the homes in Pialba were owner-occupied compared with 49.40% in 2016.

Pialba has 3,166 properties. Over the last 5 years, Houses in Pialba have seen a 106.54% increase in median value, while Units have seen a 123.27% increase. As at 31 December 2025:

  • The median value for Houses in Pialba is $737,427 while the median value for Units is $587,920.
  • Houses have a median rent of $620 while Units have a median rent of $520.
There are currently 37 properties listed for sale, and 17 properties listed for rent in Pialba on OnTheHouse. According to Cotality's data, 202 properties were sold in the past 12 months in Pialba.

Suburb Insights for Pialba 4655

Market Insights
Pialba Trends for Houses
Median Value

N/A

-
View Trend
Median Growth

N/A

View Trend
Median Rent

N/A

-
View Trend
Rental Yield

N/A

-
View Trend
Median Value: The middle value of all properties across the geography based on the Automated Valuation Model.


Median Value over 1 year
Pialba Trends for Units
Median Value

N/A

-
View Trend
Median Growth

N/A

View Trend
Median Rent

N/A

-
View Trend
Rental Yield

N/A

-
View Trend
Median Value: The middle value of all properties across the geography based on the Automated Valuation Model.


Median Value over 1 year
Neighbourhood Insights
Age
Household
Occupancy
No data to show
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.