320 Laheys Creek Road, Beryl, NSW 2852 | Property Value & History | OnTheHouse
OFF MARKET

320 Laheys Creek Road
Beryl NSW 2852

Bedrooms: 4
Bathrooms: 2
Car spaces: 8
Floor area: 160m2
Land area: 1009000m2
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Property Details for 320 Laheys Creek Rd, Beryl

320 Laheys Creek Rd, Beryl is a 4 bedroom, 2 bathroom House with 8 parking spaces and was built in 2000. The property has a land size of 1009000m2 and floor size of 160m2. While the property is not currently for sale or for rent, it was last sold in February 2024.

Building Type
House
Year Built
2000
Floor Size
160m2
Land Size
1009000m2
Local Government
Mid-Western Regional
Lot/Plan
4/DP1043594

Last Listing description (April 2024)

Introducing 320 Laheys Creek Road Gulgong - An outstanding rural holding suitable for farming or the perfect lifestyle change. This meticulously maintained property provides the perfect blend of natural beauty and modern comforts.

Perfectly positioned for complete privacy on 100.9 hectares, you will relish in sweeping vistas that extend all the way back to Gulgong. The land encompasses a harmonious combination of fertile arable areas and picturesque timbered hills adorned with captivating rock formations and outcrops.

The modern steel framed homestead is a generous 4-bedroom, 2-bathroom family residence that embraces the magnificent views, allowing you to unwind in tranquility and style.

Features we love:
- 4 spacious bedrooms, 3 with built in robes, the master featuring a walk-in robe and ensuite
- 2 living areas and an open plan kitchen and dining room
- Reverse cycle ducted air conditioning and combustion wood heater
- Well equipped kitchen with lots of cupboard and bench space and a walk in pantry
- Full length verandah offering fantastic eastern views
- Steel Cattle yards
- 4 bay open machinery shed
- 12 x 18 metre colorbond shed, with concrete floor, power connected, with a laundry and 3rd bathroom
- Back to grid solar system
- 2 dams and 6 rainwater tanks
- 20ft Shipping container

An established farm with all of the hard work done, just move in. Located only a short 10 minute drive from Gulgong, call Troy McKellar on 0410 710 310 to book your inspection.

Property History for 320 Laheys Creek Rd, Beryl, NSW 2852

A timeline of how this property has performed in the market
Last Sold
$1,200,000
15 Feb 2024
  • 15 Feb 2024
    Sold for $1,200,000
  • 18 Oct 2023
    Listed for Sale $1,249,000
  • 04 Dec 2022
    Sold
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About Beryl 2852

The size of Beryl is approximately 71.6 square kilometres. It has 1 park covering nearly 0.1% of total area. The population of Beryl in 2016 was 132 people. By 2021 the population was 117 showing a population decline of 11.4% in the area during that time. The predominant age group in Beryl is 60-69 years. Households in Beryl are primarily childless couples and are likely to be repaying $1800 - $2399 per month on mortgage repayments. In general, people in Beryl work in a labourer occupation.In 2021, 82.90% of the homes in Beryl were owner-occupied compared with 60.00% in 2016.

Beryl has 78 properties. Over the last 5 years, Houses in Beryl have seen a 132.41% increase in median value, while Units have seen a -34.17% decrease. As at 31 December 2025:

  • The median value for Houses in Beryl is $968,722 while the median value for Units is $367,312.
There are currently no properties listed for sale, and no properties listed for rent in Beryl on OnTheHouse. According to Cotality's data, 2 properties were sold in the past 12 months in Beryl.

Suburb Insights for Beryl 2852

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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.