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Data Brief 2, 2026

Data Brief 2, 2026

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Housing affordability estimates (2025)

Dashboard  |  Maps  |  Interactive tables  |  Interpreting the data  |  Download the data


This data brief presents estimates of the median sale and median rental prices of residences in each NSW electorate as well as the percentage and number of households in each electorate that are receiving Commonwealth Rent Assistance​. This data shows how prices have changed over time and can help to evaluate how housing prices have responded to factors that shape prices such as changes in government policy. ​

Dashboard (Q4 2025)

The dashboard displays the median sales price, median rental price, and percentage of households receiving rent assistance for the latest quarter (Q4 2025), as well as quarterly between 2021 and 2025. 

The median sales and rental prices can be displayed as either adjusted for inflation or in nominal values. As the price of goods and services increase over time the relative buying power of a currency decreases. The inflation adjusted prices show the price of housing over time in Q4 2025 dollars, adjusted for this change in buying power.

Property sales categorised as 'non-strata' will typically be free-standing houses, property sales categorised as 'strata' will typically be apartments and townhouses.​ The 'house' rental category only includes houses. The 'non-house' rental category includes flats/units and terraces/townhouses/semi-detached houses.

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Maps (2025)

The maps show annual median sale and rental prices by postcode in NSW. Annual data has been used instead of quarterly data to reduce the number of postcodes where there is insufficient strata and non-house data to calculate median sales and rental prices. While postcodes provide a more granular view of property prices they also introduce greater volatility in areas with low sales and rental volumes. Caution should be taken when interpreting  postcode-level prices.

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Interactive tables (Q4 2025)


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Interpreting the data

Property sales

Sales data is compiled from the NSW Valuer Generals bulk property sales information . This data contains property sales details including postcode, contact date, settlement date, purchase price, primary purpose, and the strata lot number. The property sales data is filtered to only include residential sales, and the properties are categorised into strata and non-strata. The date of sale is based on the contract date recorded.

Strata properties are a single building or multiple buildings that have been divided into lots. Properties that are typically owned under a strata scheme include apartments, townhouses, and villas. As such, properties categorised as 'non-strata' will typically be free-standing houses, while those categorised as 'strata' will typically be apartments and townhouses.

Property rents​

The NSW Government rental bond lodgement data is published monthly and includes dwelling type, weekly rent amount, number of bedrooms, and postcode data. The data was filtered to exclude properties with a rental price below $10 a week as these are not considered to be representative market rental prices. It also excludes properties that are categorised as either 'other' or 'unknown' as these may include rented rooms, garages, or car spaces. The lodgement date was used to assign the rental property a year and quarter.

The 'house' category only includes houses. The 'non-house' category includes flats/units and terraces/townhouses/semi-detached houses.​

Rent assistance

To qualify for Commonwealth Rent Assistance (CRA) a person must be eligible for an income support payment, ABSTUDY, family tax benefit part A, or a veteran's service pension or income support supplement. To receive CRA, a person must be paying private rent above the applicable threshold. CRA numbers are measured at the 'recipient household' or income unit level (which is a single person, with or without children, or a couple, with or without children). This data is from the Department of Social Services housing data set and includes CRA recipient households eligible for an income support payment or family tax benefit part A.

Medians

The median value of a data set shows the exact middle value, meaning that half of the values in the data are above this value and half are below. An average is the total sum of values divided by the total count of values. Unlike the average, the median is unaffected by outliers which makes it a better measure for heavily skewed data like property prices. Despite being unaffected by outliers, the median values for NSW are heavily skewed by the higher volume of property sales and rents across Sydney when compared to the rest of NSW. For example, this is observable in the higher median weekly rent for non-houses compared to houses, which is due to the eastern suburbs of Sydney accounting for a large proportion of the non-house rent data while house rent data is spread more evenly across the state. Due to a low volume of strata properties generally, Barwon has had multiple quarters without enough strata property sales to produce a median for.

The presented median values are representative of the typical property sale price or rental price for an area and are heavily dependent on whatever that typical property looks like. Location is not the only defining feature of a property. Features such as distance to amenities, size, and number of bedrooms differ from place to place and also impact the median price or rent.


Methodology

Weighted median

A weighted median of the values for property sales and rental costs is presented for each electorate and region. The weights used to calculate these medians were assigned using a postcode to state electoral district (SED) population-weighted correspondence, where the postcode data is assigned a weight based on the percentage of the population in that postcode which lives in the SED.

Inflation

The property sale and rental price data in the dashboard is presented as both  inflation adjusted  and in nominal values. As the price of goods and services increase over time the relative buying power of a currency decreases. The inflation adjusted prices show the price of housing over time in Q4 2025 dollars, adjusted for this change in buying power.  Inflation adjustments were made using the RBA's quarterly trimmed mean inflation  values. The price changes in the interactive tables and maps are based on nominal values.​

Percentage of households receiving rent assistance

Rent assistance data is published for statistical areas level 2 (SA2s). The Research Service produced electorate-level estimates using an SA2 to SED population-weighted correspondence. Transport for NSW publishes occupied private dwelling projections for small areas called transport zones (TZs). The Research Service used occupied private dwellings data to derive estimates of the number of households in each electorate using a TZ to SED population-weighted correspondence. This data was used to calculate the percentage of households receiving rent assistance.

The rent assistance data presented in the map was prepared by performing a SA2 to postcode population-weighted correspondence. The percentage of households receiving rent assistance was estimated by also corresponding transport zones to postcodes and using these values as an estimate for households per postcode.

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Download the data

Further reading


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Title: Electorate data: Housing affordability (2025)
Author: Andrew Greenland, Daniel Montoya.
Publication number: Data Brief No. 2026-02
ISSN 2981-8354 (Online)

The NSW Parliamentary Research Service provides impartial research, data and analysis services for members of the NSW Parliament.

© 2026 Except to the extent of the uses permitted under the Copyright Act 1968, no part of this document may be reproduced or transmitted in any form or by any means including information storage and retrieval systems, without the prior consent from the Senior Manager, NSW Parliamentary Research Service, other than by members of the New South Wales Parliament in the course of their official duties.
Any advice on legislation or legal policy issues contained in this publication is provided for use in parliamentary debate and for related parliamentary purposes. This publication is not professional legal opinion.
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