4/1 Victoria Street, Queens Park, NSW 2022 | Property Value & History | OnTheHouse
OFF MARKET

4/1 Victoria Street
Queens Park NSW 2022

Bedrooms: 2
Bathrooms: 1
Car spaces: 1
Floor area: 73m2
Land area: 313m2
Estimated Value & Rent
Estimated Value
Estimated Rent
Confidence
Last updated 17 Aug 2026
Low

High
Save

Property Details for 4/1 Victoria St, Queens Park

4/1 Victoria St, Queens Park is a 2 bedroom, 1 bathroom Unit with 1 parking spaces and was built in 1930. The property has a land size of 313m2 and floor size of 73m2.

Building Type
Unit
Year Built
1930
Floor Size
73m2
Land Size
313m2
Local Government
Waverley

Last Listing description (May 2025)

Positioned directly opposite Queens Park, this classic Art Deco apartment enjoys a prized setting with leafy district outlooks and fresh modern updates. Set in a tightly held block of four, it offers rare privacy, a house-like sense of space and ultimate convenience - steps to Charing Cross village, and moments to Bondi Junction, beaches and the city.

Highlights
* Quiet elevated setting, leafy park views

* Boutique block of just four residences
* Separate living/dining, Art Deco charm
* Fresh paint & new carpet throughout
* Updated kitchen with gas appliances
* 2 light-filled bedrooms, private aspect
* Bright bathroom, original detail, tub
* Internal laundry, good built-in storage
* Walk to village shops, cafs, transport
* Easy access to Bondi & city via buses

Property History for 4/1 Victoria St, Queens Park, NSW 2022

A timeline of how this property has performed in the market
Listed for Rent
$600/w
13 Sep 2022
  • 06 May 2025
    Listed for Rent $760 / week
  • 18 Aug 2020
    Listed for Rent $540 / week
  • 03 Oct 2013
    Listed for Rent $550 / week
Commute Calculator

About Queens Park 2022

The size of Queens Park is approximately 0.8 square kilometres. There are 3 parks, covering nearly 43.2% of the total area. The population of Queens Park in 2016 was 3066 people. By 2021 the population was 3143 showing a population growth of 2.5% in the area during that time. The predominant age group in Queens Park is 40-49 years. Households in Queens Park are primarily couples with children and are likely to be repaying over $4000 per month on mortgage repayments. In general, people in Queens Park work in a professional occupation.In 2021, 69.40% of the homes in Queens Park were owner-occupied compared with 68.60% in 2016.

Queens Park has 1,411 properties. Over the last 5 years, Houses in Queens Park have seen a 2.55% increase in median value, while Units have seen a 4.14% increase. As at 31 July 2026:

  • The median value for Houses in Queens Park is $3,918,994 while the median value for Units is $1,369,722.
  • Houses have a median rent of $1,995 while Units have a median rent of $963.
There are currently 3 properties listed for sale, and 2 properties listed for rent in Queens park on OnTheHouse. According to Cotality's data, 50 properties were sold in the past 12 months in Queens park.

Suburb Insights for Queens Park 2022

Market Insights
Queens Park 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
Queens Park 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.