531/159 Queen St, St Marys, NSW 2760 | Property Value & History | OnTheHouse
OFF MARKET

531/159 Queen St
St Marys NSW 2760

Bedrooms: 2
Bathrooms: 2
Car spaces: 1
Land area: 662m2
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Property Details for 531/159 Queen St, St Marys

531/159 Queen St, St Marys is a 2 bedroom, 2 bathroom Unit with 1 parking spaces. The property has a land size of 662m2. While the property is not currently for sale or for rent, it was last sold in September 2024.

Building Type
Unit
Land Size
662m2
Local Government
Penrith
Lot/Plan
31/SP98131

Last Listing description (February 2022)

Located within the newly completed Marigold boutique development, this luxury two bedroom apartment enjoys an abundance of natural light with quality finishes. It is conveniently located in the heart of St Marys moments from St Marys shopping village & station.

- Free-flowing, open concept design with spacious living/dining
- Two good-sized bedrooms with built-ins, ensuite to the master

- Main internal area extends out to a private balcony with sweeping views
- Intergrated kitchen with DeLonghi appliances, gas cooktop, oven & dishwasher
- Engineered timber flooring is be paired with elegant wood grain finishes
- Two appointed bathrooms with frameless shower screens & quality fittings
- The building has 24 hours, CCTV surveillance, garbage chutes on every floor
- Fifth floor position with security swipe key lift access to every floor
- Undercover security parking + separate storage cage.
- Air conditioning, high ceilings with LED down lights, internal laundry with dryer
- Residents enjoy access to a rooftop garden and entertaining area

Please note: Due to the time constraints of uploading changes to this advertisement, we cannot guarantee that any inspections will be cancelled prior to them taking place. We recommend that you contact our office on 9675 5566 prior to an inspection, to ensure that the property is still available, as inspections will be cancelled, should we approve an application and receive a holding fee.

Property History for 531/159 Queen St, St Marys, NSW 2760

A timeline of how this property has performed in the market
Last Sold
$1
23 Sep 2024
Listed for Rent
$420/w
24 Feb 2022
  • 23 Sep 2024
    Sold for $1
  • 24 Jan 2022
    Listed for Rent $420 / week
  • 29 Sep 2020
    Sold for $501,000
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About St Marys 2760

The size of St Marys is approximately 10.6 square kilometres. There are 35 parks, covering nearly 19.4% of the total area. The population of St Marys in 2016 was 12195 people. By 2021 the population was 13256 showing a population growth of 8.7% in the area during that time. The predominant age group in St Marys is 30-39 years. Households in St Marys are primarily couples with children and are likely to be repaying $1800 - $2399 per month on mortgage repayments. In general, people in St Marys work in a machinery operators and drivers occupation.In 2021, 44.50% of the homes in St Marys were owner-occupied compared with 44.40% in 2016.

St Marys has 8,244 properties. Over the last 5 years, Houses in St Marys have seen a 37.85% increase in median value, while Units have seen a 47.26% increase. As at 31 August 2026:

  • The median value for Houses in St Marys is $1,056,764 while the median value for Units is $723,545.
  • Houses have a median rent of $575 while Units have a median rent of $578.
There are currently 59 properties listed for sale, and 66 properties listed for rent in St marys on OnTheHouse. According to Cotality's data, 328 properties were sold in the past 12 months in St marys.

Suburb Insights for St Marys 2760

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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.