Open data, attributed inline
Every metric on every page links to the source it came from. No proprietary scoring black boxes. The maths is on the methodology page.
About
An independent Perth-based data project covering crime, schools, prices, rents, demographics, planning, and hazards across roughly 1,600 Western Australian suburbs.
The information that answers a question like “is this a good suburb to live in?” is real, and it is public. It just sits across roughly a dozen government websites and an equal number of private platforms, each one good at one thing, none of them talking to each other.
Burb Score pulls them together. Every score on the site is computed from authoritative open data, refreshed on a documented cadence, and explained in detail on the methodology page. If you can see a number, you can click through to the source it came from.
The site is built and operated by Nick Lilleyman in Perth, Western Australia. My background is data engineering. I have spent most of the last decade moving information between systems for organisations that need to trust it. Burb Score is the same discipline applied to a personal question.
If you find a value that looks wrong, the methodology page has a corrections section with an email and a response window. I read everything, and I fix things.
Three principles, applied across every page on the site.
Every metric on every page links to the source it came from. No proprietary scoring black boxes. The maths is on the methodology page.
Use the or see the corrections process. Triage within one to two Australian business days. Upstream source issues are noted publicly until they are corrected.
No suburb is promoted because someone paid for it to be. No metric is hidden because someone paid to bury it. Rankings reflect the data.