606/148 Bellerine Street, Geelong, VIC 3220 | Property Value & History | OnTheHouse
OFF MARKET

606/148 Bellerine Street
Geelong VIC 3220

Bedrooms: 3
Bathrooms: 2
Car spaces: 2
Floor area: 120m2
Estimated Value & Rent
Estimated Value
Estimated Rent
Confidence
Last updated 15 Dec 2025
Low

High
Save

Property Details for 606/148 Bellerine St, Geelong

606/148 Bellerine St, Geelong is a 3 bedroom, 2 bathroom Unit with 2 parking spaces and was built in 2019. The property has a floor size of 120m2.

Building Type
Unit
Year Built
2019
Floor Size
120m2
Local Government
Greater Geelong

Last Listing description (January 2020)

Brand new light filled north facing penthouse apartment with amazing views over the city and waterfront. Featuring three generous bedrooms with robes, main with ensuite and private north facing covered balcony. The open plan kitchen and living area is perfect for entertaining.

Other features include split system heating and cooling. private roof top deck with stainless steel sink and mains gas connection, secure underground parking for two cars, study area and storage cage. Located in the medical precinct and within 800m of the Geelong waterfront, Geelong University Hospital, South Geelong train station CBD.


Please note that Photo ID is required to gain entry at our Open for Inspections.

IN ORDER TO ATTEND INSPECTIONS YOU MUST REGISTER. PLEASE CLICK ON THE BOOK INSPECTION BUTTON AND COMPLETE YOUR DETAILS

Property History for 606/148 Bellerine St, Geelong, VIC 3220

A timeline of how this property has performed in the market
Listed for Rent
$800/w
28 Jan 2020
  • 27 Nov 2019
    Listed for Rent $800 / week
Commute Calculator

About Geelong 3220

The size of Geelong is approximately 3.3 square kilometres. It has 17 parks covering nearly 8.9% of total area. The population of Geelong in 2016 was 5210 people. By 2021 the population was 5811 showing a population growth of 11.5% in the area during that time. The predominant age group in Geelong is 20-29 years. Households in Geelong are primarily childless couples and are likely to be repaying $1800 - $2399 per month on mortgage repayments. In general, people in Geelong work in a professional occupation.In 2021, 53.60% of the homes in Geelong were owner-occupied compared with 54.00% in 2016.

Geelong has 6,469 properties. Over the last 5 years, Houses in Geelong have seen a 19.64% increase in median value, while Units have seen a 8.47% increase. As at 30 November 2025:

  • The median value for Houses in Geelong is $868,712 while the median value for Units is $654,991.
  • Houses have a median rent of $525 while Units have a median rent of $500.
There are currently 36 properties listed for sale, and 17 properties listed for rent in Geelong on OnTheHouse. According to Cotality's data, 182 properties were sold in the past 12 months in Geelong.

Suburb Insights for Geelong 3220

Market Insights
Geelong 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
Geelong 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.