Hospitals, Local Hospital Networks and Primary Health Networks in MyHospitals, Australia
liveThe MyHospitals mapping details extract from the AIHW MyHospitals Data API. Each row is one reporting unit, with its code, name, type, latitude and longitude, public or private sector, open or closed status, state, Local Hospital Network and Primary Health Network area.
Also called: Australian hospitals list, Public and private hospitals Australia with coordinates, MyHospitals reporting units, Hospital to Local Hospital Network mapping.
Part of AIHW MyHospitals, 3 tables the publisher releases together: Emergency department patients seen on time by hospital and triage category, Australia, Elective surgery waiting times by hospital and urgency category, Australia.
- What is in each row?
- One reporting unit of MyHospitals, which is a hospital, a Local Hospital Network, a Primary Health Network, a state or the nation. A hospital row has its coordinates, its sector, whether it is open or closed, its state, and the Local Hospital Network and Primary Health Network area the Institute maps it to. Most Local Hospital Network rows carry a point too. State, national and Primary Health Network rows have no coordinates.
- Is every hospital here?
- The list holds the hospitals the Institute reports on in MyHospitals, public and private, including some that have closed. A small private facility that reports nothing to the Institute may be missing.
- How does this join to the measures?
- The measure tables in this collection name each reporting unit by the same name, and the code here is the Institute's own identifier for it. The Institute has not endorsed this site.
Made for agents
Connect your AI agent
Any agent that connects to publicdata.au/mcp can find this dataset, read its 10 fields, count and filter across all 1,366 rows and diff its versions. Every answer names the version and carries AIHW's attribution. No key.
Then ask it: What does Hospitals, Local Hospital Networks and Primary Health Networks in MyHospitals, Australia hold, and what changed in the newest version?
claude mcp add --transport http publicdata https://publicdata.au/mcpOne command. No key, no account, no sign-up.
Settings, then Connectors, then Add custom connector, and paste https://publicdata.au/mcp.
On the web and in the desktop app.
https://publicdata.au/mcpStreamable HTTP. Cursor, VS Code or any client that connects to a remote MCP server.
Using https://publicdata.au/llms.txt, how many people died on Queensland roads in 2025, by month?For an assistant that reads the web and has no connector.
A dashboard over every row. Click to filter, add panels, share a link or embed a frame.
Query APIFilter and count from a URLaggregate?group=sector&metric=count&type=eq.Hospital
Reporting units by sector where type is Hospital: 714 Public, 452 Private.
Download it as Excel, CSV, JSON and 9 more formats
Pick a format and a version. Excel is picked first because it opens in the tools most offices have. The URL is yours to keep. A dated version never changes.
In your own tools
Use it in Excel, R, Python and more
Excel and Power BI read the CSV from its address and refresh from it. The R and Python packages take any dataset on this site by its slug, so a new dataset needs no new release. The DuckDB file attaches read-only over HTTPS, and a query reads only the blocks it touches.
The dated URL in the code never changes. https://publicdata.au/d/au-hospitals-myhospitals/latest/ redirects to the newest version.
https://publicdata.au/d/au-hospitals-myhospitals/latest/data.csvIn Excel choose Data, then From Web, and paste this address. Excel keeps it, so Refresh All reads the newest version. A sheet holds about a million rows; past that, load the query to the Data Model.
https://publicdata.au/d/au-hospitals-myhospitals/latest/data.csvIn Power BI Desktop choose Get data, then Web, paste this address and choose Anonymous when asked how to sign in. A scheduled refresh reads the same address, so the report follows each new version.
library(publicdataau)
df <- pd_read("au-hospitals-myhospitals")
pd_attribution(df)install.packages("publicdataau"). pd_read() fetches the version's Parquet file; pd_rows() and pd_aggregate() ask the query API instead, and pd_connect() attaches the DuckDB file.
import publicdata_au as pd_au
df = pd_au.read("au-hospitals-myhospitals")
df.attrs["publicdata"]["attribution"]pip install "publicdata-au[pandas]". read() fetches the version's Parquet file; rows() and aggregate() ask the query API, and connect() attaches the DuckDB file.
INSTALL httpfs; LOAD httpfs;
ATTACH 'https://publicdata.au/d/au-hospitals-myhospitals/v/2026-10-03/data.duckdb' AS au_hospitals_myhospitals (READ_ONLY);
SELECT type, count(*) FROM au_hospitals_myhospitals.records GROUP BY 1 ORDER BY 2 DESC;The DuckDB file attaches read-only over HTTPS and only the blocks a query touches are read. Parquet works the same way: FROM read_parquet(url).
const res = await fetch("https://publicdata.au/api/v1/datasets/au-hospitals-myhospitals/aggregate?group=sector&metric=count&type=eq.Hospital");
const { rows, publicdata } = await res.json();
console.log(rows, publicdata.attribution);The query API answers a page on any site as well as Node, with no key. It returns the rows and the attribution the licence asks for.
What is in it
Column names are made snake_case and the publisher's original header is kept beside each one. Blank cells are null. Nothing is added, removed, ranked or summarised.
| Field | Type | Publisher's header | Note |
|---|---|---|---|
| code | string | Code | |
| name | string | Name | |
| type | string | Type | |
| latitude | number | Latitude | |
| longitude | number | Longitude | |
| sector | string | Sector | |
| open_closed | string | Open/Closed | |
| state | string | State | |
| local_hospital_network | string | Local Hospital Network (LHN) | |
| primary_health_network | string | Primary Health Network area (PHN) |
Download this table as a data dictionary (Excel), or read it as a Frictionless Table Schema at schema.json. The key is code.
A sample of 10 rows
From the latest version, each type in turn, then in the publisher's order, with every field. A blank cell is shown as null.
| code | name | type | latitude | longitude | sector | open_closed | state | local_hospital_network | primary_health_network |
|---|---|---|---|---|---|---|---|---|---|
| H0012 | State Forensic Mental Health Service | Hospital | -31.960937 | 115.788431 | Public | Open | Western Australia | North Metropolitan Health Service (WA) | Perth North |
| LHN101 | South Eastern Sydney | Local Hospital Network | -33.639868 | 152.175019 | Public | Open | New South Wales | South Eastern Sydney | null |
| NAT | National | National | null | null | Public | Open | National | null | null |
| ACT | Australian Capital Territory | State | null | null | Public | Open | Australian Capital Territory | null | null |
| PHN101 | Central and Eastern Sydney | Primary Health Network | null | null | Public | Open | New South Wales | null | Central and Eastern Sydney |
| H0013 | Justice Health Services | Hospital | -33.96907 | 151.243206 | Public | Open | New South Wales | Justice Health & Forensic Mental Health | Central and Eastern Sydney |
| LHN102 | Sydney | Local Hospital Network | -33.87785 | 151.133066 | Public | Open | New South Wales | Sydney | null |
| NSW | New South Wales | State | null | null | Public | Open | New South Wales | null | null |
| PHN102 | Northern Sydney | Primary Health Network | null | null | Public | Open | New South Wales | null | Northern Sydney |
| H0014 | The Children's Hospital at Westmead | Hospital | -33.801554 | 150.991759 | Public | Open | New South Wales | Sydney Children's Hospitals Network | Western Sydney |
The first row as JSON
As it appears in data.json.
GET https://publicdata.au/d/au-hospitals-myhospitals/latest/data.json
{
"code": "H0012",
"name": "State Forensic Mental Health Service",
"type": "Hospital",
"latitude": -31.960937,
"longitude": 115.788431,
"sector": "Public",
"open_closed": "Open",
"state": "Western Australia",
"local_hospital_network": "North Metropolitan Health Service (WA)",
"primary_health_network": "Perth North"
}
Query it without downloading
The query API returns only the rows you ask for, as JSON, NDJSON or CSV, from the same typed rows as the files. It needs no key. Build a query here and run it, then copy the URL or the code into your own work.
How filters work
Each filter is field=operator.value in the query string, and every filter must match. A number or date field compares as a number or date, and a text field compares as text. Values are case-sensitive except with ilike. Prefix not. to negate a filter, as not.eq.value.
| Operator | What it matches |
|---|---|
| eq.value | Equal to the value. |
| neq.value | Not equal to the value. A blank cell does not match. |
| gt.value | Greater than the value. |
| gte.value | Greater than or equal to the value. |
| lt.value | Less than the value. |
| lte.value | Less than or equal to the value. |
| like.*text* | Matches a pattern where * stands for any run of characters. Case-sensitive. |
| ilike.*text* | The same as like, ignoring case. |
| in.(a,b,c) | Equal to any value in the list. A value cannot contain a comma. |
| is.null | Blank in the source, or suppressed by the publisher. |
| Parameter | What it does |
|---|---|
| select | Fields to return, comma-separated. Every field when absent. |
| order | field.asc or field.desc, comma-separated. The publisher's row order when absent. |
| limit | Rows per page, 1 to 10,000. 100 when absent. |
| offset | Rows to skip. The next URL in each answer sets it for you. |
| group | On aggregate, fields to group by, comma-separated. |
| metric | On aggregate, count, sum.field, avg.field, min.field or max.field, comma-separated. count when absent. |
| format | json, ndjson or csv. JSON carries the provenance header, and the others carry it in response headers. |
Without a version the API answers from the newest loaded version, and that answer changes when the publisher releases again. Put versions/<date>/ before rows or aggregate for an answer that never changes. /api/v1/datasets/<slug>/versions lists the loaded versions. The 1 newest version is loaded; versions lists them.
The API allows 60 requests in 10 seconds from one address. Above that it answers 429 for 10 seconds with a Retry-After header, a RateLimit-Policy header and a JSON body that gives the limit. Every API answer carries the same RateLimit-Policy. A client should wait the Retry-After seconds, or read the files, which have no limit. openapi.json describes this dataset's query paths for client generators and agents.
https://publicdata.au/mcp is a remote MCP server over Streamable HTTP with the same tools, defined in the same place, so a tool added to the pages is added here too. It needs no key and no account. The row tools are held to the query API's limit of 60 queries in 10 seconds from one address, and each call is two queries because it also counts the matching rows. Add it to Claude Code with claude mcp add --transport http publicdata https://publicdata.au/mcp, add the URL in Claude as a custom connector, or give it to any client that connects to remote MCP servers. Each queryable dataset is also a resource at https://publicdata.au/d/<slug>/fields.json, which lists its fields with their types, the publisher's descriptions, their ranges and the values they hold, so an agent can read a dataset's shape before it writes a query.
Smaller files
The same rows split by a field, one JSON file each with a GeoJSON beside it. Each file carries the same provenance header.
By type (5 files)
by/type/index.json lists every file with its row count.
What changed
One version for every release the publisher has made since this site started following the dataset. The date is the day the file changed on the portal.
- 2026-10-03 1,366 rows10 fieldsxlsxdcbe87cb2084The publisher's server states no change date, so this version is dated by the fetch.
versions.json · changes.json · history.tar.zst (44 KB, every version's Parquet and manifest)
Questions
How do I download Hospitals, Local Hospital Networks and Primary Health Networks in MyHospitals as a CSV file?
Open https://publicdata.au/d/au-hospitals-myhospitals/latest/data.csv. It redirects to the newest dated version, which is https://publicdata.au/d/au-hospitals-myhospitals/v/2026-10-03/data.csv today. The same path serves Excel, JSON, GeoJSON, Parquet, SQLite, DuckDB, GeoPackage, GeoParquet, NDJSON, Arrow. A dated URL never changes, so use it when the file must stay the same.
Can I open Hospitals, Local Hospital Networks and Primary Health Networks in MyHospitals in Excel?
Yes. https://publicdata.au/d/au-hospitals-myhospitals/v/2026-10-03/data.xlsx is a workbook with the 1,366 rows on a records sheet, the field list on a second sheet and the provenance on a third. The CSV also opens in Excel. https://publicdata.au/d/au-hospitals-myhospitals/v/2026-10-03/data.csv.gz is the CSV at about a tenth of the size.
How often is Hospitals, Local Hospital Networks and Primary Health Networks in MyHospitals updated?
AIHW releases it several times a year. This site checks the portal every week and adds a dated version when the file changes.
Can I use Hospitals, Local Hospital Networks and Primary Health Networks in MyHospitals commercially?
Yes. CC BY 4.0 allows commercial use, redistribution and derived works as long as the attribution is kept. The attribution string is in this page's side column and inside every file.
Is this the official source for Hospitals, Local Hospital Networks and Primary Health Networks in MyHospitals?
No. The publisher is Australian Institute of Health and Welfare, and its page is https://www.aihw.gov.au/copyright. This site republishes the publisher's file without changing its content. The original sits beside every version as source.xlsx with its SHA-256, so the two can be compared.
How do I get only the rows for one type?
Every version has one JSON file per value of type, 5 files in the current version, listed with row counts at https://publicdata.au/d/au-hospitals-myhospitals/v/2026-10-03/by/type/index.json. For example https://publicdata.au/d/au-hospitals-myhospitals/v/2026-10-03/by/type/hospital.json holds the 1,166 rows where type is Hospital. A GeoJSON file sits beside each one.
What coordinate system does Hospitals, Local Hospital Networks and Primary Health Networks in MyHospitals use?
Latitude and longitude in decimal degrees as published. The Institute does not state the datum; WGS84 and GDA2020 differ by under 2 metres. The GeoJSON file uses the same coordinates, which is what GeoJSON expects.
What this site did to the data. Cells were typed, headers were renamed and the encoding was made UTF-8. Rows were left alone. The publisher's file sits beside every version as source.xlsx so the change can be checked.
The publisher releases AIHW MyHospitals as 3 files at once, so all 3 tables here share a version date.