9 Frances Street, Paxton, NSW 2325 sold on 04 September 2025 | OnTheHouse
SOLD
Sold on 04 Sep 2025 for $740,000

9 Frances Street
Paxton NSW 2325

Bedrooms: 3
Bathrooms: 1
Car spaces: 2
Floor area: 112m2
Land area: 1017m2
Sold By
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Tahlia Thomas Real Estate
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Property Details for 9 Frances St, Paxton

9 Frances St, Paxton is a 3 bedroom, 1 bathroom House with 2 parking spaces and was built in 1990. The property has a land size of 1017m2 and floor size of 112m2. While the property is not currently for sale or for rent, it was last sold in September 2025. There are other 3 bedroom House sold in Paxton in the last 12 months.

Building Type
House
Year Built
1990
Floor Size
112m2
Land Size
1017m2
Local Government
Cessnock
Lot/Plan
78/DP12136

Last Listing description (November 2025)

Perfectly positioned on a large corner block, this beautifully maintained 3-bedroom, 1-bathroom home offers comfortable family living with modern updates and fantastic outdoor features.

Property Features:

Open-plan kitchen and dining area ideal for family meals and entertaining.

Reverse cycle air conditioning providing year-round comfort.

Three generous bedrooms, each with built-in wardrobes.

Freshly renovated 3-way bathroom with stylish modern finishes.

Newly renovated laundry.

Semi-enclosed outdoor area perfect for entertaining or relaxing outdoors.

Fully fenced swimming pool enjoy the warmer months in privacy and safety.

Solar panels to help reduce energy costs.

Double car accommodation for convenience.

Situated on a spacious corner block with low-maintenance grounds.

Prime Location:

Walking distance to local schools perfect for families.

Only two hours from Sydney, one hour to the Central Coast, and just minutes from Cessnock town center.

Close proximity to the Hunter Valley Vineyards, restaurants, and local attractions.

This home combines modern living with lifestyle convenience perfect for families, couples, or anyone seeking a relaxed Hunter Valley lifestyle.

Disclaimer: The photos indicating the condition of the advertised property may or may not be an exact reflection of the current condition of the property. If you have any concerns please contact the office to confirm this prior to any inspection.

Property History for 9 Frances St, Paxton, NSW 2325

A timeline of how this property has performed in the market
Last Sold
$740,000
04 Sep 2025
Listed for Rent
$650/w
29 Oct 2025
  • 29 Oct 2025
    Listed for Rent $650 / week
  • 04 Sep 2025
    Sold for $740,000
  • 21 Aug 2025
    Listed for Sale UNDER CONTRACT
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About Paxton 2325

The size of Paxton is approximately 4.3 square kilometres. The population of Paxton in 2016 was 942 people. By 2021 the population was 1215 showing a population growth of 29.0% in the area during that time. The predominant age group in Paxton is 0-9 years. Households in Paxton are primarily couples with children and are likely to be repaying $1800 - $2399 per month on mortgage repayments. In general, people in Paxton work in a trades occupation.In 2021, 81.30% of the homes in Paxton were owner-occupied compared with 83.20% in 2016.

Paxton has 582 properties. Over the last 5 years, Houses in Paxton have seen a 75.65% increase in median value. As at 30 November 2025:

  • The median value for Houses in Paxton is $753,784 while the median value for Units is $450,774.
  • Houses have a median rent of $540.
There are currently 1 property listed for sale, and 1 property listed for rent in Paxton on OnTheHouse. According to Cotality's data, 36 properties were sold in the past 12 months in Paxton.

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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.