Delora

What actually drives Melbourne house prices

We modelled every Greater Melbourne suburb to find what really moves house prices — education, work-from-home, trams, crime and more — with the dollar value of each.

+12%a degree-heavy population — the #1 driver
+5%each extra tram-stop cluster (inner-city premium)
−5%higher crime — the biggest downward pull
75%of suburb price differences the model explains

Everyone has a theory about what makes a Melbourne suburb expensive. We tested it. Our model learns, from every reliable Melbourne house market, how much buyers actually pay for each ingredient of a suburb — holding everything else equal. The results below are those implicit prices: the real-world premium (or discount) the market attaches to each feature.

Suburb featureEffect on priceSignal strength
% bachelor+ degree+12%strong
% work from home+10%moderate
Tram stops+5%strong
Crime rate−5%strong
Socio-economic advantage (SEIFA)+4%weak
Distance to coast/water−3%moderate
Distance to school−2%moderate
% born overseas−2%moderate
Bushfire overlay−2%moderate
Distance to CBD−2%weak
% train to work−2%moderate
Cafe/amenity density+1%weak

Data as of 2026-07-13. Suburb-level indicators — confirm the specific parcel.

The biggest surprise: it’s not distance to the city

Ask most people and they’ll say location — how close to the CBD. It matters, but once you account for everything else it’s not the strongest lever. The single biggest driver of a Melbourne suburb’s house price is education: the share of residents with a bachelor’s degree. Suburbs full of degree-holders command a large premium. Close behind is the work-from-home share (a proxy for knowledge-work incomes) and tram access — a genuinely Melbourne premium. Crime and distance from the coast pull prices down.

What you’re paying for, in dollars

Because the model is transparent, we can break any suburb’s fair value into the dollar contribution of each feature. Take Richmond — here’s roughly what its fundamentals add or subtract versus the average Melbourne suburb:

  • Tram stops+$266k
  • % work from home+$249k
  • % bachelor+ degree+$200k
  • Crime rate−$74k
  • Distance to coast/water+$66k
  • Distance to CBD+$45k

When a suburb has strong fundamentals like these but a below-average price, it shows up on our most undervalued suburbs list. When it’s the reverse — a big price the fundamentals don’t justify — you’re paying a prestige premium, which we unpack in bargain or value trap.

How we measured this. A hedonic regression — the technique behind official house-price indices — fitted on 342 reliable Greater-Melbourne house markets. Each figure is the effect on the median house price of a one-standard-deviation change in that feature, holding the others equal (out-of-sample R² ≈ 0.75). It’s a suburb-level, correlational model — it explains what moves prices, not what any single house is worth. General information, not financial advice. Data as of 2026-07-13.

Frequently asked

What most affects house prices in Melbourne?

In our model the strongest driver is the share of residents with a university degree, followed by the work-from-home share and tram access. Higher crime and greater distance from the coast lower prices. Distance to the CBD matters but is weaker once these are accounted for.

Does a train or tram line add value to a suburb?

Yes — tram access in particular carries a measurable premium in Melbourne, on top of general public-transport access. It’s one of the clearer amenity effects in the data.

Why doesn’t the model use school results?

Per-school VCE/NAPLAN results aren’t published as open data, so we use school access and the strongly related education profile of a suburb instead. It’s a known limitation we’re transparent about.