Auction Thursday 2 April 2020 @ 10am - 11am
Online via AuctionsPlus website
Bidders must pre register on AuctionsPlus by 5pm on Wednesday 1 April 2020
- Ideal property for broadacre cropping/hay or grazing
- Approx 260ac arable country
- Lemnos Loam & Goulburn Loam soils
- Flat to slightly undulating land
- All weather road access
- Clean open country with expansive natural shelter along the Broken river
- Steel cattle yards with gravel road access
- Good fencing throughout
- Two seasonal dams
- Close proximity to Shepparton
- Crop ready preparation, fully sprayed ready for sowing
- Immediate Possession for Cropping Purposes
To arrange an inspection contact our office -
Landmark Harcourts Shepparton (03) 5833 0221
Rob Bruns 0457 830 779
Michael Downie 0458 241 242
The size of Caniambo is approximately 99.0 square kilometres. The population of Caniambo in 2016 was 74 people. By 2021 the population was 82 showing a population growth of 10.8% in the area during that time. The predominant age group in Caniambo is 50-59 years. Households in Caniambo are primarily couples with children and are likely to be repaying $800 - $999 per month on mortgage repayments. In general, people in Caniambo work in a managers occupation.In 2021, 84.20% of the homes in Caniambo were owner-occupied compared with 56.00% in 2016.
Caniambo has 113 properties. Over the last 5 years, Houses in Caniambo have seen a -42.63% decrease in median value, while Units have seen a 180.64% increase. As at 28 February 2026:
N/A
N/A
View TrendN/A
N/A
N/A
N/A
View TrendN/A
N/A
© Copyright 2026. RP Data Pty Ltd trading as Cotality (Cotality). All rights reserved. No reproduction, distribution, or transmission of the copyrighted materials is permitted. The information is deemed reliable but not guaranteed.
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.