4/52 Argyle Ave, Chelsea is a 2 bedroom, 1 bathroom House with 1 parking spaces and was built in 1986. The property has a land size of 1308m2 and floor size of 85m2.
**LEASED BY AQUIRE**
~ 12 Month lease term
~ All pets considered
Featuring:
- New paintwork and carpets throughout
- 2 good sized bedrooms with built-in robes
- Central bathroom with separate bath & shower
- Large open living area with gas heating and wall unit air conditioning
- Light-filled kitchen with ample cupboard space
- Low maintenance yard with rear access to lock up garage
** APPLY ONLINE through realestate.com.au to fast track your interest in this amazing property & REGISTER ONLINE to be invited to our next scheduled inspection. We look forward to seeing you there.
The size of Chelsea is approximately 2.6 square kilometres. It has 6 parks covering nearly 13.8% of total area. The population of Chelsea in 2016 was 7773 people. By 2021 the population was 8347 showing a population growth of 7.4% in the area during that time. The predominant age group in Chelsea is 30-39 years. Households in Chelsea are primarily couples with children and are likely to be repaying $1800 - $2399 per month on mortgage repayments. In general, people in Chelsea work in a professional occupation.In 2021, 65.10% of the homes in Chelsea were owner-occupied compared with 63.20% in 2016.
Chelsea has 5,088 properties. Over the last 5 years, Houses in Chelsea have seen a 23.24% increase in median value, while Units have seen a 20.63% increase. As at 31 December 2025:
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.