Australian residential aged care · buy-side intelligence

Screen every aged care home in Australia — before the data room opens.

Quaris assembles the whole public record into one screening layer: 2,592 homes joined to the 664 entities that operate them, ten quarters of rating history, care minutes against each home's own casemix target, and 998 regulatory decisions reproduced verbatim with their dates. A data layer, not a view — we don't tell you what the market means; your analysts do that better than we would.

Whole of market — every home, not a sample Ten quarters, Feb 2024 → May 2026 Every figure sourced and dated — nothing modelled
2,592
homes — the whole market, not a sample
664
providers — each home joined to its operating entity
10 quarters
per home, Feb 2024 → May 2026
998
regulatory decisions — verbatim, dated, source-linked
The problem

The record is public. It has never been assembled.

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 a week of analyst time per engagement, repeated from scratch on the next one.

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Scattered across releases

Ratings, care minutes, quality indicators, residents' experience and regulatory decisions arrive in different files. Nothing joins them, so every question spans several spreadsheets.

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Published per home, not per entity

The liability and the track record sit with the operating entity — but the files are per facility. Rolling 2,592 homes up to the 664 entities behind them is manual, and it's where the pattern lives.

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No history in the file

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.

How it works

Three steps from the whole market to a shortlist

No data room, no spreadsheets, no setup — and no request to the target.

1

Set the mandate

Filter all 2,592 homes by provider or entity, state, planning region, remoteness, bed size, ownership, rating and trajectory — including homes sitting below their own care-minute target.

2

Rank the shortlist

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.

3

Open the record

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 ten quarters.

Held on every home

What you get on any target, in one place

  • Star Rating and all four sub-ratingsCompliance · Residents' Experience · Staffing · Quality Measures — published for 2,176 homes.
  • Care minutes against that home's own targetTotal and RN, versus its casemix-adjusted target rather than a flat sector average — 2,298 homes.
  • Beds and planning region219,493 residential places across 2,527 homes, so exposure can be weighted by size.
  • Quality indicators and resident survey7 quality measures (2,435 homes) and the 12-dimension experience survey (2,433).
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    Regulatory decisions, rolled up to the entity998 decisions reproduced verbatim with their dates and a link to the regulator's own record.

Counts are homes with that field published, as at the May 2026 quarter. Where a home isn't covered it is shown as not published — never as zero.

Who it's for

One dataset, two ways to use it

Advisory & due-diligence firms

The screening layer your analysts currently build by hand

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.

  • Screen 2,592 homes against a mandate in minutes, not analyst-days
  • Roll any target up to the entity that carries the liability
  • Answer catchment and local-share questions from geocoded beds
  • Every figure sourced and dated, so it survives a client's scrutiny
PE deal teams & corporate development

A read on a target before you ask it for anything

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.

  • Portfolio-wide trajectory across 90+ homes in one pass, not ninety
  • Homes below their own casemix-adjusted care-minute target, by beds
  • Regulatory history for the entity, verbatim and date-stamped
  • Local concentration inputs for the new ACCC notification regime

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.

Built on trust

Sourced and dated — and honest about the gaps

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.

Official sources only

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.

Whole of market

Not a sample — every residential home in the extract. 2,592 homes, 2,585 geocoded (99.7%), so local peer sets and catchment questions are real rather than approximated.

416 homes carry no rating this quarter

That gap is in the government file itself, not our processing — its dictionary defines a blank as "no rating available". For 351 we hold an earlier rating and show it with its date; 65 are shown as not published. Never as zero.

Two methodology changes inside the window

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.

Point-in-time, and we say so

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.

Matched without a persistent ID

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.

Name a target, a portfolio or a postcode — we'll run it and send it back

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.

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