82/3 Ramu Cl, Sylvania Waters is a 3 bedroom, 2 bathroom Townhouse with 2 parking spaces and was built in 1989. The property has a land size of 12862m2 and floor size of 95m2. While the property is not currently for sale or for rent, it was last sold in November 2001.
Located only a short stroll to shops, cafes and waterways is this spacious two story townhouse. Offering great value in a dress circle location. The complex also offers an indoor pool and a tennis court.
+ Large open plan lounge and dining leading to rear courtyard
+ Modern kitchen
Please contact our office by email enquiries.miranda@lsre.com.au to receive application details.
The size of Sylvania Waters is approximately 1.3 square kilometres. There are 4 parks, covering nearly 9.4% of the total area. The population of Sylvania Waters in 2016 was 3169 people. By 2021 the population was 3200 showing a population growth of 1.0% in the area during that time. The predominant age group in Sylvania Waters is 50-59 years. Households in Sylvania Waters are primarily couples with children and are likely to be repaying over $4000 per month on mortgage repayments. In general, people in Sylvania Waters work in a managers occupation.In 2021, 81.60% of the homes in Sylvania Waters were owner-occupied compared with 81.70% in 2016.
Sylvania Waters has 1,225 properties. Over the last 5 years, Houses in Sylvania Waters have seen a 13.17% increase in median value, while Units have seen a 33.66% increase. As at 31 May 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.