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Residential Property DATA VIA AURIN

AURIN has engaged with Domain, one of Australia’s leading property platforms, to unlock access to rich property and real estate data for the research community. Through this arrangement, eligible researchers can access Domain’s APIs to retrieve data market activity, and suburb-level demographics — supporting a wide range of applied urban, housing, and socioeconomic research.

Use of Domain data through AURIN is limited to applied research (including academic publication) and the internal, non-commercial early-stage concept development.

Access is now available to eligible academics, researchers via AURIN Edge, and AURIN Research Nodes, subject to application and approval.

Property Data Overview

Data is accessed programmatically via the AURIN Data Provider platform, following application, approval, and signing of the end-user agreement. A monthly call limit applies, subject to your access tier.

Agents and Listings

Provides data on active residential property listings. This data is well-suited for research into listing activity, agency distribution, and market supply dynamics.

Properties and Locations

Provides access to address-level property data, aggregated sales results by area, and demographic information by state, suburb, and postcode, alongside suburb performance statistics. This data supports research into housing market trends, property value change, neighbourhood demographics, and spatial analysis of the built environment.

Example Research Use Cases

Domain data opens up a range of research possibilities across housing, urban planning, demography, and spatial economics. The following examples illustrate the kinds of questions researchers can explore using the Agents and Listings and the Properties and Locations.

Housing Affordability and Rental Market Analysis

Track changes in listing prices, rental asking rates, and days-on-market across suburbs and cities over time. Domain data can support research into housing cost pressures, affordability gaps between sales and rental markets, and the spatial distribution of housing stress across Australian urban areas.

Urban Growth and Property Development Patterns

Use listings and project data to examine where new residential and commercial development is concentrated, how supply is responding to demand in different markets, and how development activity correlates with planning policy, infrastructure investment, or population change.

Neighbourhood Demographics and Socioeconomic Change

Combine Domain’s suburb-level demographic data with sales results and listing activity to investigate how neighbourhood composition is shifting over time — who is moving where, how property turnover relates to demographic change, and what patterns emerge across postcode and suburb boundaries.

Sample Data Availability

To support early exploration and feasibility assessment, Australian academic researchers can access sample Domain data layers covering the Sunshine Coast (QLD) for the year 2022.

Access sample data

Suburb performance statistics

Quarterly suburb-level market statistics for the Sunshine Coast. Includes sold prices with percentiles, sale volumes, days on market, vendor discount, auction results, rent listing prices and mean rent yield.

Residential Sold listings

Individual residential sold listings across the Sunshine Coast. Includes property attributes, address and coordinates, sold price and date, sale method, and advertising agency

Residential Rental listings

A snapshot of residential listing to rent across the Sunshine Coast, as of the capture date 2026-07-23. Includes, property attributes, address and coordinates, advertised weekly rent, and advertising agency.

want to see the data in action?

Climate-related disaster risk in Australia: Are risks higher for disadvantaged households?

Researchers combined geospatial flood mapping, socioeconomic data, and property market data to compare how wealthy coastal areas and less wealthy inland towns experienced the disaster. 

The financial impact of combustible cladding on the housing market

Researchers used Domain data to study the changes in property prices and rents in Melbourne. Using difference-in-difference (DID) method to examine trends in prices and rents from before and after the fires.

School provision, workforce distribution, housing, and the staffing of schools in Sydney

 

Researchers used Domain data to develop a novel measure called the Workforce Catchment Area (WFCA) to better assess how workforce distribution affects supply and demand issues for schooling services.

Do you need help?

Contact us to learn more about accessing the Domain offerings.

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