32 Queen St, Mosman is a 5 bedroom, 4 bathroom House with 2 parking spaces. The property has a land size of 1431m2 and floor size of 292m2. While the property is not currently for sale or for rent, it was last sold in July 2019.
Why you'll love it:
Showcasing the grandiosity of Edwardian architecture, this sensational c1915 manor combines smart home innovations and luxury poolside living with a state-of-the-art guest house and gym. Boasting elevated views across the city skyline, it commands a 1,431 sqm block close to Mosman Village and prestige schools.
Key features:
Best suited for:
Families drawn to sophisticated bespoke design and unparalleled entertaining near elite schools and lifestyle attractions.
The size of Mosman is approximately 8.7 square kilometres. It has 45 parks covering nearly 29.6% of total area. The population of Mosman in 2016 was 28475 people. By 2021 the population was 28329 showing a population decline of 0.5% in the area during that time. The predominant age group in Mosman is 50-59 years. Households in Mosman are primarily couples with children and are likely to be repaying over $4000 per month on mortgage repayments. In general, people in Mosman work in a professional occupation.In 2021, 64.10% of the homes in Mosman were owner-occupied compared with 62.80% in 2016.
Mosman has 16,011 properties. Over the last 5 years, Houses in Mosman have seen a 30.04% increase in median value, while Units have seen a 37.05% 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.