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Data Visualisation

Australia's Housing Affordability Crisis in 12 Charts

Most housing commentary starts with a conclusion and reverse-engineers the evidence. I wanted to do the opposite: build the charts first, then see what story survived contact with the numbers.

What follows is the structure of that project — the twelve views, why each one earned its place, and what changed in my own thinking along the way.

The point of twelve

One chart makes an argument. Twelve charts make a case — and, more importantly, they force you to confront the data points that complicate your preferred story. A single price-to-income line is a slogan. The same line, set beside lending standards, supply elasticity, and tax treatment, becomes an explanation.

If your housing thesis can be expressed in one chart, it is probably wrong, or at least incomplete.

The four families of charts

I grouped the twelve into four families, because affordability is not one phenomenon. It is four overlapping ones.

1. Price and income

The opening pair establish the gap everyone already feels: the dwelling-price-to-household-income ratio, and the deposit-to-income ratio that determines who can even reach the starting line. The deposit chart is the cruel one — it shows that the barrier compounds, because saving a deposit is a race against the very prices you are trying to catch.

2. The cost of money

Three charts on interest rates, serviceability, and the share of income consumed by repayments. This family explains the timing of stress in a way the price charts cannot. Affordability is not only about the sticker; it is about the monthly number, and the monthly number moves with the cash rate.

3. Supply

Four charts here, because supply is where the most stubborn misconceptions live. Dwelling completions per capita, approvals-to-completions lag, the construction labour bottleneck, and the geographic mismatch between where homes are built and where jobs are. The lag chart is the one that reframes the debate: even a perfect policy today does not deliver a home for years.

4. Policy and tenure

The final three: the growth of the renter cohort, the age profile of first-home buyers over time, and the distribution of tax concessions by income decile. This is the family that turns a market chart into a political one.

What the charts changed in me

I went in expecting supply to be the whole story. The charts did not let me keep that view. Supply is necessary and badly constrained — but the tenure and policy family showed an outcome that supply alone cannot explain: the composition of who owns and who rents has shifted in ways that track tax and credit settings, not just the number of dwellings.

The honest conclusion is that affordability is over-determined. There is no single lever. Any chart deck that ends on a single villain is selling something.

A note on method

Every chart in the set obeys the same three rules:

  • One idea per chart. If I needed a second axis to make the point, it was two charts.
  • The axis starts where the data starts, not at a number chosen to flatter the argument.
  • The source sits on the chart, not in a footnote nobody reads.

Those rules are boring. They are also the difference between data visualisation and decoration.

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