27 Cavallero Rise, Gledswood Hills, NSW 2557 | Property Value & History | OnTheHouse
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27 Cavallero Rise
Gledswood Hills NSW 2557

Bedrooms: 5
Bathrooms: 2
Car spaces: -
Floor area: 241m2
Land area: 735m2
Estimated Value & Rent
Estimated Value
Estimated Rent
High Confidence
Last updated 19 May 2025
Low

High
$2.00M
$2.20M
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Property Details for 27 Cavallero Rise, Gledswood Hills

27 Cavallero Rise, Gledswood Hills is a 5 bedroom, 2 bathroom House and was built in 2024. The property has a land size of 735m2 and floor size of 241m2. While the property is not currently for sale or for rent, it was last sold in April 2024.

Building Type
House
Year Built
2024
Floor Size
241m2
Land Size
735m2
Local Government
Camden
Lot/Plan
90/DP271295

Property History for 27 Cavallero Rise, Gledswood Hills, NSW 2557

A timeline of how this property has performed in the market
Last Sold
$1,950,000
04 Apr 2024
  • 04 Apr 2024
    Sold for $1,950,000

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About Gledswood Hills 2557

The size of Gledswood Hills is approximately 5.8 square kilometres. It has 7 parks covering nearly 39.2% of total area. The population of Gledswood Hills in 2011 was 1,585 people. By 2016 the population was 5,001 showing a population growth of 215.5% in the area during that time. The predominant age group in Gledswood Hills is 30-39 years. Households in Gledswood Hills are primarily couples with children and are likely to be repaying $2400 - $2999 per month on mortgage repayments. In general, people in Gledswood Hills work in a professional occupation. In 2011, 80.8% of the homes in Gledswood Hills were owner-occupied compared with 76.6% in 2016.

Gledswood Hills has 3,375 properties. Over the last 5 years, Houses in Gledswood Hills have seen a 64.94% increase in median value, while Units have seen a 92.83% increase. As at 30 April 2025:

  • The median value for Houses in Gledswood Hills is $1,320,459 while the median value for Units is $922,620.
  • Houses have a median rent of $800 while Units have a median rent of $465.
There are currently 34 properties listed for sale, and 6 properties listed for rent in Gledswood hills on OnTheHouse. According to CoreLogic's data, 207 properties were sold in the past 12 months in Gledswood hills.

What's around 27 Cavallero Rise, Gledswood Hills

27 Cavallero Rise, Gledswood Hills is in the school catchment zone for Gledswood Hills Public School and Oran Park High School.

Nearby Schools
Comparable Properties
Gledswood Hills Public School
1.48km
Address not found
IN CATCHMENTPrimaryNon-GovernmentCombined Enrolled
St Benedict's Catholic College
2.8km
Oran Park 2570
SecondaryNon-Government7 - 12Combined753 Enrolled
Kearns Public School
2.9km
Kearns 2558
PrimaryGovernmentP - 6Combined203 Enrolled
St Justin's Catholic Primary School
2.92km
Oran Park 2570
PrimaryNon-GovernmentP - 6Combined795 Enrolled
Oran Park High School
3.25km
Address not found
IN CATCHMENTSecondaryGovernmentCombined Enrolled
Oran Park Anglican College
3.32km
Oran Park 2570
CombinedNon-GovernmentP - 10Combined449 Enrolled
Robert Townson High School
3.68km
Raby 2566
IN CATCHMENTSecondaryGovernment7 - 12Combined759 Enrolled
St Gregory's College Campbelltown
3.81km
Address not found
CombinedNon-Government7 - 12Combined1004 Enrolled
Eschol Park Public School
3.82km
Eschol Park 2558
PrimaryGovernmentP - 6Combined334 Enrolled
Robert Townson Public School
3.83km
Raby 2566
PrimaryGovernmentP - 6Combined541 Enrolled

Suburb Insights for Gledswood Hills 2557

Market Insights
Gledswood Hills Trends for Houses
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Median Value: The middle value of all properties across the geography based on the Automated Valuation Model.


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Neighbourhood Insights
Age

Population 5,001

0-9

 

20%

10-19

 

12%

20-29

 

20%

30-39

 

22%

40-49

 

12%

50-59

 

8%

60-69

 

5%

70-79

 

2%

Household Structure
Occupancy
Disclaimer
Whilst all reasonable effort is made to ensure the information in this publication is current, CoreLogic does not warrant the accuracy or completeness of the data and information contained in this publication and to the full extent not prohibited by law excludes all liability for any loss or damage arising in connection with the data and information contained in this publication.
New South Wales data
Contains property sales information provided under licence from the Valuer General New South Wales. RP Data Pty Ltd trading as CoreLogic Asia Pacific is authorised as a Property Sales Information provider by the Valuer General New South Wales.
Valuations and Estimates
This estimate is provided by CoreLogic, and is based on statistical market data such as recent local sales, property size, number of bedrooms and many more factors. It comes from public data, which may be incomplete or inaccurate, and should not be used in lieu of a professional appraisal under any circumstances, including for lending purposes or in home loan applications.
School data and Content
Product Data licenced by CoreLogic under a Creative Commons Attribution licence. For details regarding licence, data source, copyright and disclaimers, see https://www.corelogic.com.au/legals/third-party-restrictions
ABS data
This publication contains data and statistics provided by the Australian Bureau of Statistics, available at http://www.abs.gov.au/ and reproduced under Creative Commons Attribution 2.5 http://creativecommons.org/licenses/by/2.5/au/legalcode
Liveability information
The Liveability Score is a rating (out of 10) provided by Propella.ai Pty Ltd as a guide about how "well-connected" properties are in certain local areas. The Liveability Score is based on statistical data about a local area in which a property is located including the distance to and number of available facilities and services (including schools, parklands, health services, shopping and public transport) (Liveability Data). The Liveability Data and Liveability Score has not been verified or confirmed by CoreLogic, is not available for all properties, and is of a general nature and should not be construed as specific advice or relied upon in lieu of appropriate professional advice. Given the relative nature of the Liveability Score, propella.ai anticipate that scores for individual properties will change over time.
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