3 Camellia Street, Pitt Town, NSW 2756 | Property Value & History | OnTheHouse
OFF MARKET

3 Camellia Street
Pitt Town NSW 2756

Bedrooms: 4
Bathrooms: 3
Car spaces: 3
Floor area: 253m2
Land area: 813m2
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Property Details for 3 Camellia St, Pitt Town

3 Camellia St, Pitt Town is a 4 bedroom, 3 bathroom House with 3 parking spaces and was built in 2010. The property has a land size of 813m2 and floor size of 253m2. While the property is not currently for sale or for rent, it was last sold in October 2014.

Building Type
House
Year Built
2010
Floor Size
253m2
Land Size
813m2
Local Government
Hawkesbury
Lot/Plan
2044/DP1134503

Last Listing description (March 2026)

FIRST INSPECTION SATURDAY 10-10:30AM - NO INSPECTIONS AVAILABLE PRIOR TO OPEN HOMEPositioned on a generous block, this expansive family home offers space, flexibility and lifestyle. Perfect for large families or those needing separate in law accommodation, the home features two master bedrooms, each complete with a walk in robe and private ensuite.Multiple living zones provide plenty of room for the whole family, while the outdoor entertaining area and solar heated pool make it ideal for year round enjoyment.Property features include: Two master bedrooms, both with walk in robes and private ensuites Formal lounge overlooking the undercover entertaining area Modern kitchen with large adjoining family room Separate home theatre with glass sliding doors Dedicated study or home office Triple drive through garage with excellent access Large shed ideal for storage, hobbies or workshop use Solar heated inground swimming pool Ducted air conditioning throughout Solar panels to help reduce energy costsA rare opportunity to secure a home offering space, versatility and great entertaining options. Disclaimer: All information contained herein is gathered from sources we believe reliable. We have no reason to doubt its accuracy, however we cannot guarantee it. All interested parties should make and rely upon their own enquiries. *Agents interest disclosed*

Property History for 3 Camellia St, Pitt Town, NSW 2756

A timeline of how this property has performed in the market
Last Sold
$935,000
20 Oct 2014
Listed for Rent
27 Aug 2019
  • 16 Mar 2026
    Listed for Rent $1,350 / week
  • 12 Aug 2019
    Listed for Rent - Price not available
  • 21 Jun 2018
    Listed for Rent $850 / week
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About Pitt Town 2756

The size of Pitt Town is approximately 13.1 square kilometres. There are 6 parks, covering nearly 15.4% of the total area. The population of Pitt Town in 2016 was 3033 people. By 2021 the population was 3871 showing a population growth of 27.6% in the area during that time. The predominant age group in Pitt Town is 10-19 years. Households in Pitt Town are primarily couples with children and are likely to be repaying $3000 - $3999 per month on mortgage repayments. In general, people in Pitt Town work in a trades occupation.In 2021, 88.90% of the homes in Pitt Town were owner-occupied compared with 87.30% in 2016.

Pitt Town has 1,514 properties. Over the last 5 years, Houses in Pitt Town have seen a 14.25% increase in median value, while Units have seen a 15.75% increase. As at 30 June 2026:

  • The median value for Houses in Pitt Town is $1,828,760 while the median value for Units is $970,035.
  • Houses have a median rent of $850.
There are currently 40 properties listed for sale, and 5 properties listed for rent in Pitt town on OnTheHouse. According to Cotality's data, 61 properties were sold in the past 12 months in Pitt town.

Suburb Insights for Pitt Town 2756

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Cotality Copyright and Legal Disclaimers about Property Data
Disclaimer
The Cotality Data provided in this publication is of a general nature and should not be construed as specific advice or relied upon in lieu of appropriate professional advice.

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.