10 Harper St, Denmark is a 5 bedroom, 3 bathroom House with 2 parking spaces and was built in 1979. The property has a land size of 1126m2 and floor size of 256m2. While the property is not currently for sale or for rent, it was last sold in August 2018.
This 4 bed 2 bath double storey home is situated on 1125sqm block, in a quiet cul-de-sac, close to Wilson Inlet. Upstairs comprises 3 bedrooms 1 bathroom, kitchen/dining and separate lounge with a wood heater, whilst downstairs has a bedroom & 2nd bathroom plus a spacious living area which opens onto the front garden lawn. Private rear gardens & a large double carport completes the picture! Register your interest now, call Neil Want on 0411 694 999.
The size of Denmark is approximately 17.5 square kilometres. It has 13 parks covering nearly 5.4% of total area. The population of Denmark in 2016 was 2637 people. By 2021 the population was 2691 showing a population growth of 2.0% in the area during that time. The predominant age group in Denmark is 70-79 years. Households in Denmark are primarily childless couples and are likely to be repaying $1000 - $1399 per month on mortgage repayments. In general, people in Denmark work in a professional occupation.In 2021, 66.70% of the homes in Denmark were owner-occupied compared with 61.50% in 2016.
Denmark has 2,049 properties. Over the last 5 years, Houses in Denmark have seen a 116.15% increase in median value, while Units have seen a -10.06% decrease. As at 30 November 2025:
N/A
N/A
View TrendN/A
N/A
N/A
N/A
View TrendN/A
N/A
© Copyright 2025. 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.