66 Belmore Road, Lorn, NSW 2320 | Property Value & History | OnTheHouse
OFF MARKET

66 Belmore Road
Lorn NSW 2320

Bedrooms: 5
Bathrooms: 2
Car spaces: 2
Floor area: 224m2
Land area: 1012m2
Estimated Value & Rent
Estimated Value
Estimated Rent
Confidence
Last updated 9 Feb 2026
Low

High
Save

Property Details for 66 Belmore Rd, Lorn

66 Belmore Rd, Lorn is a 5 bedroom, 2 bathroom House with 2 parking spaces and was built in 1940. The property has a land size of 1012m2 and floor size of 224m2. While the property is not currently for sale or for rent, it was last sold in January 2016.

Building Type
House
Year Built
1940
Floor Size
224m2
Land Size
1012m2
Local Government
Maitland
Lot/Plan
3/C/DP109782

Last Listing description (February 2016)

A well built period home constructed in the 1940 s, the home is well positioned and in walking distance to the main village centre of beautiful Lorn.
This home represents quality building workmanship of an era gone by, including double brick, outstanding timber work, large double bedrooms and 10 ft ornate ceilings with period cornices throughout.
Set on a 1,012sqm metre block, the traditional large blocks Lorn is famous for. The rear yard is perfect for the future development of the home for expansion or landscaping. The yard also includes an excellent work shed at the rear and water bore for the gardening enthusiast.

Want to enjoy the relaxed lifestyle of Lorn? Be quick as properties in this area sell quick.

Property History for 66 Belmore Rd, Lorn, NSW 2320

A timeline of how this property has performed in the market
Last Sold
$459,000
19 Jan 2016
  • 19 Jan 2016
    Sold for $459,000
  • 12 Jan 2016
    Listed for Sale $459,000
Commute Calculator

About Lorn 2320

The size of Lorn is approximately 4.6 square kilometres. It has 4 parks covering nearly 2.9% of total area. The population of Lorn in 2016 was 1337 people. By 2021 the population was 1465 showing a population growth of 9.6% in the area during that time. The predominant age group in Lorn is 50-59 years. Households in Lorn are primarily couples with children and are likely to be repaying $1800 - $2399 per month on mortgage repayments. In general, people in Lorn work in a professional occupation.In 2021, 81.50% of the homes in Lorn were owner-occupied compared with 79.20% in 2016.

Lorn has 695 properties. Over the last 5 years, Houses in Lorn have seen a 42.03% increase in median value, while Units have seen a 76.80% increase. As at 31 January 2026:

  • The median value for Houses in Lorn is $1,047,890 while the median value for Units is $569,872.
  • Houses have a median rent of $710 while Units have a median rent of $345.
There are currently 4 properties listed for sale, and 1 property listed for rent in Lorn on OnTheHouse. According to Cotality's data, 37 properties were sold in the past 12 months in Lorn.

Suburb Insights for Lorn 2320

Market Insights
Lorn Trends for Houses
Median Value

N/A

-
View Trend
Median Growth

N/A

View Trend
Median Rent

N/A

-
View Trend
Rental Yield

N/A

-
View Trend
Median Value: The middle value of all properties across the geography based on the Automated Valuation Model.


Median Value over 1 year
Lorn Trends for Units
Median Value

N/A

-
View Trend
Median Growth

N/A

View Trend
Median Rent

N/A

-
View Trend
Rental Yield

N/A

-
View Trend
Median Value: The middle value of all properties across the geography based on the Automated Valuation Model.


Median Value over 1 year
Neighbourhood Insights
Age
Household
Occupancy
No data to show
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.