Methodology & Sources

Technical appendix for "Australian Housing Affordability: A Century of Change"

December 2025 | Research Documentation

Back to Housing Affordability Analysis

1. Purpose and Scope

This document provides complete methodological transparency for the accompanying analysis of Australian housing affordability from 1907 to 2024. The analysis calculates the ratio of Sydney median house prices to average annual earnings (derived from Average Weekly Earnings × 52) to demonstrate changes in housing affordability over time.

The scope is deliberately limited:

2. Income Data Sources

2.1 Average Weekly Earnings (Primary Series)

The Average Weekly Earnings series is the most robust long-run income measure for Australia. Multiple sources have been spliced to create a continuous series:

ABS Cat. 6350.0 – Average Weekly Earnings, Australia, 1941–1990

Historical series linking payroll tax-based estimates with employer survey data. Published 1991, now archived.

abs.gov.au/ausstats/abs@.nsf/mf/6350.0

Coverage: September quarter 1941 to November 1990. All males initially; expanded to persons.

RBA Occasional Paper No. 8 – Australian Economic Statistics 1949–50 to 1996–97

Reserve Bank of Australia compilation of historical economic statistics including Section 4.17 (Wages and Earnings) and 4.18 (Average Weekly Earnings).

rba.gov.au/statistics/frequency/occ-paper-8.html

Excel files available for download. Section 4-17.xls and 4-18.xls contain wages data.

ABS Cat. 6302.0 – Average Weekly Earnings, Australia (Current)

Current AWE publication, released bi-annually (May and November).

abs.gov.au/statistics/.../average-weekly-earnings-australia

Coverage: 1983 to present. Surveys approximately 5,000 employers.

2.2 Measuring Worth – Historical Wages

Measuring Worth – Australian Wages Series

Comprehensive series from 1860/61 compiled by Hutchinson et al. Splices: All-sector wages to 1899/00, manufacturing 1900/01–1968/69, then all-sector again from 1969/70.

measuringworth.com/datasets/auswages

Provides a useful cross-check for our spliced ABS/RBA series.

2.3 Minimum/Basic Wage (Secondary Series)

Fair Work Commission – National Minimum Wage Orders

Minimum wage history from 1906, starting with the Harvester Judgement (7 shillings per day = 42 shillings per week = £2-2s).

fwc.gov.au/.../minimum-wage-since-1906

1907–present. Gap in 1983–1996 when minimum wage mechanism changed.

State Library of Victoria – What It Cost

Victorian Year Book and historical wage records, 1923–1964.

guides.slv.vic.gov.au/whatitcost/basicwage

Historical wages and prices for cross-referencing.

3. House Price Data Sources

Stapledon (2010) – A History of Housing Prices in Australia 1880–2010

The most comprehensive long-run house price series for Australia, covering 130 years. Sydney data based on asking prices from the Sydney Morning Herald (1880–1943), then sale prices (1950–1970).

research.economics.unsw.edu.au/RePEc/papers/2010-18.pdf

UNSW Business School Discussion Paper 2010/18. Note: 1942–1949 prices were frozen by Commonwealth wartime regulations.

Abelson & Chung (2006) – Housing Prices in Australia 1970 to 2003

Reconstructed median prices using Valuer-General and Land Titles Office records. The authoritative series for Australian capital city median house prices across this period.

appliedeconomics.com.au/.../2006-real-story-of-house-prices

Macquarie University. Based on REIA member-reported sales.

REIA Real Estate Market Facts

Ongoing quarterly publication of median house prices across capital cities. Methodology changed from member-reported sales to Land Titles Office data (most states) from September 1998.

Pre-September 1998: Member-reported sales. Post-September 1998: Land Titles Office data.

CoreLogic / Cotality – Home Value Index (2000–present)

Hedonic (quality-adjusted) methodology. The primary contemporary source for Australian residential property values.

corelogic.com.au/our-data/corelogic-indices

Daily updates, reported monthly. Note that "dwelling" values in some indices include units; care has been taken to isolate "separate house" medians where available.

ABS Cat. 6416.0 – Residential Property Price Indexes: Eight Capital Cities

Official ABS residential property price index, stratified by dwelling type.

abs.gov.au/statistics/.../residential-property-price-indexes

4. Splice Points and Methodology Changes

Why This Matters

No single data source covers the full 1907–2024 period for either income or house prices. Multiple series must be joined ("spliced") at transition points. At each splice, the basis of measurement may shift, introducing potential discontinuities. These are documented below for transparency.

Year Series Change Description
1941 Income ABS AWE series commences (Cat. 6350.0). Pre-1941 income figures are estimates or derived from wage awards.
1966 Both Decimal currency conversion (14 February 1966). All pre-1966 figures converted at £1 = $2 AUD.
1970 House prices Abelson & Chung series begins, providing capital-city-specific medians. Prior prices from Stapledon's composite series.
1981 Income AWE methodology change: pre-1981 based on payroll tax data; post-1981 from direct employer surveys (Cat. 6302.0). Potential discontinuity in measurement basis.
1998 House prices REIA switches from member-reported sales to Land Titles Office data in most states. Generally improved accuracy.
2003 House prices Abelson & Chung series ends. Transition to ABS RPPI and CoreLogic data as primary references.

5. Currency Conversion

Australia converted from pounds, shillings and pence (£ s d) to decimal currency on 14 February 1966.

Conversion Rate

£1 = $2 AUD

Pre-Decimal Notation Examples

All pre-1966 figures in this analysis have been converted to decimal dollars at the official rate for comparability.

6. Quality Adjustment Considerations

House price comparisons over long time periods are complicated by changes in what a "house" actually means. The analysis does not apply quality adjustments to historical prices. This is a deliberate methodological choice: we are measuring the cost of accessing shelter in a given location, not the cost of a constant-quality dwelling.

Dwelling Characteristics Over Time

Era Typical Floor Area Typical Block Size Persons per Household
1907~80–100 sqm800+ sqm4.5+
1950~100 sqm600+ sqm3.7
1970~120 sqm600 sqm3.2
1990~180 sqm500 sqm2.8
2010~235 sqm400 sqm2.5
2024~240 sqm380 sqm2.5

Sources: ABS Census (persons per household); academic research papers on dwelling size; CommSec Home Size Reports.

Stapledon (2007) estimates quality improvements add approximately 0.6% per annum to price growth, compounding to approximately 35% over 50 years. This explains some – but nowhere near all – of the observed price increase relative to income.

7. Calculation Methodology

House-to-Income Ratio

The primary metric is calculated as:

Ratio = Sydney Median House Price ÷ (Average Weekly Earnings × 52)

Data Selection

Rounding

Ratios rounded to one decimal place. Dollar figures rounded to nearest dollar (historical) or nearest $1,000 (contemporary).

A Note on Income Measures

Using individual AWE (rather than household income) provides the longest consistent series but understates household purchasing power for dual-income families. From the 1970s onwards, rising female workforce participation increased household income faster than individual earnings. The ratios presented therefore represent a "single earner" perspective – the affordability picture for dual-income households is somewhat better, though the trend direction is identical.

8. Limitations and Caveats

9. Verification Checklist

The following checks were performed during the construction of this analysis:

10. Complete Source List with URLs

Income Data

ABS Cat. 6350.0 – Average Weekly Earnings, Australia, 1941–1990

https://www.abs.gov.au/ausstats/abs@.nsf/mf/6350.0

Measuring Worth – Australian Wages

https://www.measuringworth.com/datasets/auswages/

State Library of Victoria – What It Cost

https://guides.slv.vic.gov.au/whatitcost/basicwage

House Price Data

Stapledon (2010) – UNSW Discussion Paper

http://research.economics.unsw.edu.au/RePEc/papers/2010-18.pdf

CoreLogic / Cotality – Home Value Index

https://www.corelogic.com.au/our-data/corelogic-indices

General Reference

RBA – Long-run Trends in Housing Price Growth

https://www.rba.gov.au/publications/bulletin/2015/sep/pdf/bu-0915-3.pdf

RBA – Household Sector Chart Pack

https://www.rba.gov.au/chart-pack/household-sector.html

11. Academic Bibliography

Abelson, P. & Chung, D. (2005). "The Real Story of Housing Prices in Australia from 1970 to 2003." Australian Economic Review, 38(3), pp. 265–281. Macquarie University.

Abelson, P. (2009). "Housing Prices and Rents in Australia 1980–2023: Facts, Explanations and Outcomes." Macquarie University Working Paper.

Stapledon, N. (2007). "Long Term Housing Prices in Australia and Some Economic Perspectives." PhD thesis, University of New South Wales.

Stapledon, N. (2010). "A History of Housing Prices in Australia 1880–2010." UNSW Business School Discussion Paper 2010/18.

Hutchinson, D.E. et al. "Australian Wages and Earnings Since 1860/61." In Measuring Worth. Available at measuringworth.com.

Part of WSP's Planning Framework

This research supports the evidence base underpinning our client advice process. Our approach is built around two proprietary frameworks:

The Wealth Pyramid – A conceptual and technical analysis of your complete financial position, from foundations (cash flow, protection, debt management) through accumulation to distribution. Housing decisions must be assessed within this complete picture – not in isolation.

The Service Cube – The level of advice and services you want or need at any given point in your financial journey. The Service Cube adapts to where you are right now.

The Wealth Pyramid™ and The Service Cube™ are registered trademarks of WSP Pty Ltd (registered June 2002, renewed through 2032).

Important Information

About This Document

This methodology document accompanies the "Australian Housing Affordability: A Century of Change" analysis prepared by Wealth & Security Planners for educational and research purposes. The underlying data compilation was assisted by artificial intelligence (Claude, Anthropic) with human oversight and verification. All source links have been verified as accessible. Readers are encouraged to verify data against primary sources before relying on it for any purpose.

General Advice Warning

This document contains general information only and does not take into account your personal objectives, financial situation or needs. Before acting on any information in this document, you should consider whether it is appropriate for your circumstances. We recommend you consult a licensed financial adviser before making any financial decisions.

Licensing

This work is made available under Creative Commons Attribution 4.0 International (CC BY 4.0). You are free to share and adapt this material with appropriate attribution.