How it works
AddressTwin does not predict property performance or provide financial advice. It organises official and reputable WA data into plain-English risk reports so buyers can see what to verify before making an offer.
What guides us
Six rules shape every report. They keep AddressTwin honest about what the data can and cannot tell you.
Every layer starts from an official or reputable WA dataset — government registers, agency mapping, published statistics.
We translate technical mapping and registers into language a buyer can act on, without jargon or hype.
Every layer carries a confidence level so you can see how much weight it can safely bear.
We do not forecast prices, rank suburbs as “best” or “safe”, or tell you what to buy. We tell you what to check.
When data is address-specific we say so. When it is suburb, district or proxy-based, we label it plainly rather than overstating precision.
Each report points you back to the official source so you can verify directly before relying on anything in it.
How precise the data is
Not every layer is measured at the same level. We never appear more precise than the underlying data is — each layer in a report is labelled with its granularity.
| Granularity | Meaning | Example |
|---|---|---|
| Address-specific | Checked against this property’s location. | Bushfire zone, proximity to listed site |
| Suburb-level | Reflects the suburb area, not this exact property. | Demographics, median sales |
| District proxy | Reflects a broader police/admin district. | Some crime data |
| Proxy-based | Estimated from the nearest available data point. | Air quality station, traffic distance |
| Preview estimate | Not fully verified — bulk ingestion pending. | Bulk suburb ingestion pending |
How much to trust each layer
Every layer carries a confidence label so you know how much weight it can bear in your own due diligence.
| Label | What it means |
|---|---|
| High confidence | Source is official, current, and sufficiently granular. |
| Medium confidence | Source is official but may be broader, older, or proxy-based. |
| Low confidence | Data is incomplete, outdated, estimated, or pending verification. |
| Manual verification recommended | Buyer should verify directly before relying on it. |
The inputs
A report draws on ten components, each from a single official source. These are due-diligence prompts — areas to understand and verify — not a ranking engine telling you whether to buy.
Median sale price (houses, last 12 months) for context only — shown on every report but deliberately excluded from the overall risk score. Higher value = more affordable relative to the Perth metro median (~$750k). This is price context, not a valuation or advice.
Dominant DFES bushfire classification for a point within the suburb. Used to flag whether a property may sit in a designated bushfire prone area worth verifying directly with DFES before an offer.
Total recorded offences per 1,000 residents (last 12 months) against the WA average (~60/1,000). District/suburb-level context only — it may not reflect a specific street or property.
Train stops within 800m (weighted more heavily) and bus stops within 400m. Reflects stop proximity, not service frequency or reliability.
Based on ICSEA (Index of Community Socio-Educational Advantage) of the nearest government primary school within 2km. Proximity does not confirm a school catchment — verify enrolment boundaries directly.
AQI from the nearest active monitoring station, with a Kwinana industrial-corridor flag. A nearest-station proxy — actual air quality at a specific property may differ.
SEIFA IRSAD decile (1 = most disadvantaged, 10 = most advantaged). 2021 Census data is current as of August 2021 and may be outdated for fast-changing suburbs.
Count and proximity of listed contaminated sites within 3km. Context only — the register does not replace a professional environmental assessment.
Classification from ANEF (Australian Noise Exposure Forecast) contour and N70 (flights above 70dB per day) for Perth Airport, Jandakot and RAAF Pearce flight paths. Contour-based — verify by listening at the property during typical flight times.
Distance from the suburb centroid to the nearest major arterial × AADT (Annual Average Daily Traffic). A distance-from-centroid proxy — peak-hour noise at a specific address can be higher.
How layers combine
To summarise a report at a glance, each component is combined as a weighted average (component value × weight, divided by total weight; weights sum to 1.0 within a profile). This is a way to organise the layers for review — not a verdict on the property. Affordability is shown as context on every report but is deliberately excluded from the summary, because price is a budget question, not a risk to verify.
| Component | Family | Car-light commuter | Essentials-first | Resilience-first |
|---|---|---|---|---|
| bushfire Risk | 11% | 5% | 7% | 28% |
| crime Rate | 18% | 13% | 20% | 14% |
| transit Access | 7% | 36% | 14% | 5% |
| school Quality | 24% | 6% | 11% | 8% |
| air Quality | 8% | 9% | 9% | 15% |
| demographics | 6% | 6% | 7% | 4% |
| contamination | 7% | 6% | 7% | 13% |
| aircraft Noise | 9% | 9% | 11% | 5% |
| traffic Noise | 10% | 10% | 14% | 8% |
Be aware
AddressTwin is decision support, not a substitute for direct checks. Reports are point-in-time snapshots built from the most recent data we hold for each source, and that data can be incomplete, delayed, broader than a single property, estimated or out of date. Many layers describe a suburb, district or nearest-station proxy rather than your exact address, and some are still pending bulk ingestion. Lifestyle factors a buyer cares about — café density, beach proximity, community feel — are not captured at all. Treat every layer as a prompt to verify with the official source and a qualified professional before you make an offer; AddressTwin never tells you what to buy, only what to check.