Quaris assembles the whole public record into one screening layer: 2,596 homes joined to the 652 entities that operate them, thirteen quarters of rating history, care minutes against each home's own casemix target, and 995 regulatory decisions reproduced verbatim with their dates. A data layer, not a view — no commentary on the market, and that's the point of it.
Everything a deal team needs for a first pass on an Australian aged care target is already published — in separate files, on separate cadences, keyed differently, with no history. Assembling it is manual work, repeated from scratch on the next engagement.
Ratings, care minutes, quality indicators, residents' experience and regulatory decisions arrive in different files. Nothing joins them, so every question spans several spreadsheets.
The liability and the track record sit with the operating entity — but the files are per facility. Rolling 2,596 homes up to the 652 entities behind them is manual, and it's where the pattern lives.
Each quarterly extract is a snapshot. A trajectory has to be rebuilt by matching homes across editions — and no persistent service identifier is published to match them on.
No data room, no spreadsheets, no setup — and no request to the target.
Filter all 2,596 homes by provider or entity, state, planning region, remoteness, bed size, ownership, rating and trajectory — including homes sitting below their own care-minute target.
On-mandate homes come back ordered by a composite signal — clearly labelled as derived, not official — each row carrying its ten-quarter trajectory and its care-minute gap.
Roll any target up to the entity that operates it, read the regulatory decisions verbatim with their dates and source links, and benchmark the home against its true local peer set across all thirteen quarters.
Counts are homes with that field published, as at the August 2026 quarter. Where a home isn't covered it is shown as not published — never as zero.
Licensed as your team's internal tool and refreshed every Star Ratings quarter, so a mandate starts from the whole market instead of a sample assembled per engagement.
Pre-exclusivity, the public record answers more than most teams assume: whether a problem is home-specific or a portfolio pattern, and which way the trajectory has been running.
We supply the assembled record and the derived measures, clearly labelled as derived. We express no view on any operator and give no investment, legal or clinical advice — the judgment is your team's.
Every number traces back to an official Australian Government release with the period it came from shown against it. Nothing is estimated, modelled or interpolated. The limits below are published here rather than discovered later.
Star Ratings quarterly extracts from the AIHW GEN data hub, the Department of Health, Disability and Ageing, and the ACQSC — all CC BY 4.0. Sourced from the published files; the consumer-facing My Aged Care site is never scraped.
Not a sample — every residential home in the extract. 2,596 homes, 2,589 geocoded (99.7%), so local peer sets and catchment questions are real rather than approximated.
That gap is in the government file itself, not our processing — its dictionary defines a blank as "no rating available". For 153 we hold an earlier rating and show it with its date; 57 are shown as not published. Never as zero.
Staffing changed from 1 Oct 2025 and Compliance from 1 Nov 2025, so movement across those dates is not like-for-like. Flagged in the product rather than smoothed over.
Each figure is current as at the date shown. Government data lags real events by roughly 3–6 months — stated plainly instead of implying the record is live.
No stable service identifier is published, so homes are matched across quarters on name, suburb and state. It's the honest constraint behind the history, and every count can be re-verified against the source files on request.
Whatever is on your desk: a single home, an entity's whole footprint, or a catchment you're testing. We'll return the assembled record within two business days — once, at no cost and with no obligation. Every figure sourced and dated, no opinion attached. Judge it on your own target rather than on ours.