Australian Residential Property Service
Living sector forecasts, project tracking, and asset benchmarking for residential investment and development strategy.
Overview
A one-stop solution for residential property forecasts, analysis, and project intelligence across Australia’s living sector.
Australia’s residential property market is shaped by complex and shifting forces: demographic change, interest rate cycles, housing supply constraints, and evolving affordability pressures. Understanding how these drivers interact at the local level is essential for investment, development, and portfolio decisions.
Oxford Economics Australia’s Residential Property Service connects macro and demographic drivers to granular local market data across all eight states and territories, seven major capital cities, 15 capital city rings, 14 key regional centres, and 158 local government areas, delivering 15-year forecasts across more than 3,600 variables alongside live project tracking and living sector asset benchmarking tools.
Why Oxford Economics Australia?
Residential property decisions require intelligence that is both analytically rigorous and locally grounded. Oxford Economics Australia brings together decades of forecasting experience with unmatched geographic granularity and a consistent, model-backed methodology.
3,600+ indicators
Fifteen-year forecasts across prices, rents, completions, household formation, income, lending, and mortgage rates, updated quarterly.
Unmatched granularity
All eight states and territories, seven capital cities, 15 city rings, 14 regional centres, and 158 local government areas, including SA3-level data for Brisbane.
Living sector asset coverage
Build-to-rent, build-to-sell, purpose-built student accommodation, retirement villages, land lease communities, and greenfield development
5,000+ project listings
BTR and build-to-sell apartment projects valued over $30 million, with competitor Market Mappers and geographic visualisation, updated quarterly.
Model-backed and independent
Forecasts apply Oxford Economics Australia’s established methodology for quantifying dwelling demand and supply, directly linking macroeconomic and demographic drivers to residential outcomes. Entirely independent of property transactions and investment activity.
Consistent methodology
A unified framework applied across all states, regions, and living sector asset classes, covering more than 3,600 variables and ensuring accurate, like-for-like comparisons across markets and cycles.
How it helps
Our service supports investment planning, site selection, development feasibility, portfolio benchmarking, and risk management across all major living sector asset classes, from build-to-rent and greenfield to student accommodation and retirement living.
What’s included?
Our property economists deliver independent analysis to help you navigate Australia’s evolving living sector and make informed, data-driven decisions.
How can we help you?
Our living sector service is used by a wide range of organisations across Australia’s residential property markets.
Here is how we can support your specific decisions:
Investors and asset managers
Identify high-growth residential markets and living sector assets, and stress-test investment assumptions against independent, model-backed forecasts.
- Which residential markets and living sector asset classes offer the strongest forward-looking price and rental growth prospects?
- How do different markets compare on yield, affordability, and demographic fundamentals?
- How would different economic or policy scenarios affect residential demand and returns across my portfolio?
Developers and development managers
Assess site feasibility, understand local demand fundamentals, and identify where supply constraints and demographic shifts are creating development opportunity.
- Where is residential demand strongest at the local government area level across my target markets?
- What is the forward outlook for greenfield land and apartment markets at a micro-geographic level, including outer-ring LGAs?
- Which living sector asset class offers the strongest demand fundamentals in my target geography?
Institutional investors and fund managers
Benchmark living sector assets, assess relative cycle positioning, and support investment committee decisions with independent, comparable data.
- How does my portfolio’s income and return profile compare to national and small-area market benchmarks?
- Where are build-to-rent, student accommodation, or retirement living assets most attractively positioned in the cycle?
- What are the long-run demographic drivers supporting institutional residential investment in my target markets?
Government and public agencies
Plan housing supply, assess affordability pressures, and evaluate the impact of policy settings on residential markets using independent, model-backed forecasts.
- Where are housing supply deficits most acute at the state, city, and local government area level?
- How will demographic change and migration patterns affect housing demand across regions over the next 15 years?
- What are the affordability implications of different supply, interest rate, and policy scenarios?
Benefits
Identify where residential growth is emerging and understand the forces driving it.
Identify growth opportunities
Pinpoint the fastest-growing residential markets and living sector assets, supported by data-driven analysis of demographic, economic, financial, and supply trends across all eight states and territories and 158 local government areas.
Benchmark performance
Compare capital city and small-area residential activity against your own portfolio to assess market position and competitive exposure, using standardised benchmarking indicators across all six living sector asset classes.
Future-proof your strategy
Leverage fifteen-year, model-backed forecasts across more than 3,600 variables to plan confidently, manage downside risk, and protect long-term investment objectives across the full residential property cycle.
Anticipate market shifts
Stay ahead of turning points in prices, rents, and supply pipelines with independent, quarterly insights and immediate data insights from our residential property and macroeconomic experts.
Latest insights
Testimonials
Oxford Economics is synonymous with high quality macroeconomic research. A compelling reason for us to subscribe to its Real Estate Economics Service.
The Real Estate Economics Service allows us to link the top-down economic outlook, drivers and risks, with our market-level forecasting and return expectation setting. This allows us to be more strategic about our allocations and how to build & maintain a well-diversified portfolio.
As an active international lender for commercial real estate, the expansion of Oxford Economics’s Real Estate Economics Service to include analysis and forecasting of real estate markets is a real gain and represents an addition to the comprehensive service we have been benefitting from for many years
For Transwestern’s asset services, investment management and development businesses, we depend on economic inputs and editorial content that are rational and insightful to inform our decisions. Oxford Economics delivers.
CMHC’s Stress Testing and ORSA team has started this year using Oxford Economics for the purpose of Stress-Testing. Our experience has been very positive. The software is sound, intuitive and user friendly. But most of all, it allows the user to understand the links between the variables and for a certain degree of customization. Without naming the tool that CMCH used prior to this year, it goes without saying the OE represents a significant upgrade over the previous tool. Further, we have also contracted OE to help us design Stress-Test scenarios. The support we have received from the team was excellent, especially during the early days of the COVID19 Pandemic. Alex, Zach, Tim, and the rest of the team, really went above and beyond to help us meet our corporate objectives.
Request a free trial
Complete the form and we will contact you to set up your free trial. Please note that trials are only available for qualified users.
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