1 Macquarie Street, Tumut, NSW 2720 | Property Value & History | OnTheHouse
OFF MARKET

1 Macquarie Street
Tumut NSW 2720

Bedrooms: 6
Bathrooms: 2
Car spaces: 2
Floor area: 71m2
Land area: 466m2
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Property Details for 1 Macquarie St, Tumut

1 Macquarie St, Tumut is a 6 bedroom, 2 bathroom House with 2 parking spaces and was built in 1910. The property has a land size of 466m2 and floor size of 71m2. While the property is not currently for sale or for rent, it was last sold in May 2016.

Building Type
House
Year Built
1910
Floor Size
71m2
Land Size
466m2
Local Government
Snowy Valleys
Lot/Plan
A/DP349898

Last Listing description (January 2025)

Positioned in a quiet one-way street and in close proximity to town, sits this high yielding duplex home. Comprising of three bedrooms each, large living areas and formal kitchens over looking the rear yard, you will love the versatility and opportunity on offer in 7 Macquarie Street Tumut.

With both properties currently tenanted and grossing $820 per week ($410 each) and positioned on a large medium density private allotment, with no body corporate fees. 7 Macquarie is an opportunity not to be missed. Call today to book your inspection.

Premiere Features:

- Three great sized bedrooms in each unit, master boasting built in robes
- Privately positioned bathrooms with shower over bath, single vanity and toilet in one and shower, single vanity and toilet in the second unit
- Good sized kitchens with electric cooktops, ample cabinetry and bench space, all overlooking the rear yard
- Large living areas serviced by reverse cycle split system air conditioners
- Internal laundries off the kitchen with direct access to the rear yard
- Quaint fully covered front verandahs
- Fully fenced and separated front yards
- Large private allotment with vehicle access to the rear yard
- Approximate 1,233m allotment
- Unit one currently tenanted at $410 per week (expires 27th March 2025)
- Unit two currently tenanted at $410 per week (expires 12th April 2025)
- No body corporate fees applicable (two units on one title)

Property History for 1 Macquarie St, Tumut, NSW 2720

A timeline of how this property has performed in the market
Last Sold
$166,000
12 May 2016
  • 23 Oct 2024
    Listed for Sale $650,000
  • 12 May 2016
    Sold for $166,000
  • 31 Mar 2016
    Listed for Sale $159,000
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About Tumut 2720

The size of Tumut is approximately 30.2 square kilometres. There are 22 parks, covering nearly 12.5% of the total area. The population of Tumut in 2016 was 6230 people. By 2021 the population was 6613 showing a population growth of 6.2% in the area during that time. The predominant age group in Tumut is 0-9 years. Households in Tumut are primarily childless couples and are likely to be repaying $1000 - $1399 per month on mortgage repayments. In general, people in Tumut work in a labourer occupation.In 2021, 65.40% of the homes in Tumut were owner-occupied compared with 66.30% in 2016.

Tumut has 3,783 properties. Over the last 5 years, Houses in Tumut have seen a 40.72% increase in median value, while Units have seen a 39.93% increase. As at 31 August 2026:

  • The median value for Houses in Tumut is $475,800 while the median value for Units is $339,956.
  • Houses have a median rent of $500 while Units have a median rent of $350.
There are currently 77 properties listed for sale, and 20 properties listed for rent in Tumut on OnTheHouse. According to Cotality's data, 142 properties were sold in the past 12 months in Tumut.

Suburb Insights for Tumut 2720

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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.