57 Lumsdaine Street, Picton, NSW 2571 | Property Value & History | OnTheHouse
OFF MARKET

57 Lumsdaine Street
Picton NSW 2571

Bedrooms: 3
Bathrooms: 1
Car spaces: 1
Land area: 1212m2
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Property Details for 57 Lumsdaine St, Picton

57 Lumsdaine St, Picton is a 3 bedroom, 1 bathroom House with 1 parking spaces. The property has a land size of 1212m2. While the property is not currently for sale or for rent, it was last sold in August 2022.

Building Type
House
Land Size
1212m2
Local Government
Wollondilly
Lot/Plan
34/2/DP2893

Last Listing description (September 2022)

Welcome to one of Pictons best pockets, located in a convenient position and within walking distance to shops, train station and local schools this is a great opportunity to move into this family friendly neighbourhood.
Set on a large 1220m2 block on the high side of the street the existing 3 bedroom home is in need of major repair and would suit those looking for a full renovation project or knock down rebuild opportunity to build your dream home in this prime location.

-Elevated 1220m2 block of land on the high side of the street in a popular location

-Opportunity for the renovator looking for their next project or,
-Take advantage of the location and knock down & rebuild your dream home
-Wide frontage & great position overlooking Pictons hills

Conveniently located within walking distance to shops, local cafes, railway station, schools and the popular George IV Inn.

The historic township of Picton is on the fringe of the Southern Highlands, situated just an hour drive from Sydney and 40 minutes from Wollongong's beautiful beaches It is renowned for its semi-rural lifestyle, historic buildings and family friendly atmosphere. With major cities now so accessible, Pictons popularity is exploding with smart buyers looking for a lifestyle change.

Disclaimer: Whilst every effort is taken to ensure accuracy of this listing, we accept no responsibility for errors or omissions. We encourage you to seek your own independent legal and / or financial advice prior to making any commitment or decision.

Property History for 57 Lumsdaine St, Picton, NSW 2571

A timeline of how this property has performed in the market
Last Sold
$715,000
20 Aug 2022
  • 20 Aug 2022
    Sold for $715,000
  • 06 Jun 2022
    Listed for Sale Price Guide $699,000
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About Picton 2571

The size of Picton is approximately 42.6 square kilometres. It has 18 parks covering nearly 2.5% of total area. The population of Picton in 2016 was 4816 people. By 2021 the population was 5282 showing a population growth of 9.7% in the area during that time. The predominant age group in Picton is 50-59 years. Households in Picton are primarily couples with children and are likely to be repaying $1800 - $2399 per month on mortgage repayments. In general, people in Picton work in a professional occupation.In 2021, 78.60% of the homes in Picton were owner-occupied compared with 77.90% in 2016.

Picton has 2,711 properties. Over the last 5 years, Houses in Picton have seen a 64.21% increase in median value, while Units have seen a 45.92% increase. As at 30 November 2025:

  • The median value for Houses in Picton is $1,193,235 while the median value for Units is $650,699.
  • Houses have a median rent of $610 while Units have a median rent of $400.
There are currently 28 properties listed for sale, and 10 properties listed for rent in Picton on OnTheHouse. According to Cotality's data, 121 properties were sold in the past 12 months in Picton.

Suburb Insights for Picton 2571

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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.