One public hospital with its name, street address, suburb, postcode and type, whether it has an emergency department or an emergency service, and its location.

Which coordinates are these?

Longitude and latitude in GDA2020 (EPSG:7844), from the GDA2020 file the publisher ships beside a GDA94 copy.

Datasets / South Australia / SA Health / Hospital locations, South Australia

Public hospital locations, South Australia

Name: Public hospital locations, South Australia
Creator: SA Health
Published: 2026-06-28
License: https://creativecommons.org/licenses/by/4.0/

live

Publisher SA HealthUpdated when the publisher updates the listLicence CC BY 4.0Latest 2026-06-28Rows 73Fields 8

SA Public Hospitals from SA Health. Each row is one hospital, with its name, address, suburb and postcode and its type, such as public hospital, public psychiatric hospital or public rehabilitation hospital, and its point location.

Also called: SA Public Hospitals, Public hospitals in Adelaide and regional South Australia, SA Health public hospital locations.

Part of Hospital locations, South Australia, 2 tables the publisher releases together: Private hospital locations, South Australia.

Before you use it

What is in each row?: One public hospital with its name, street address, suburb, postcode and type, whether it has an emergency department or an emergency service, and its location.
Which coordinates are these?: Longitude and latitude in GDA2020 (EPSG:7844), from the GDA2020 file the publisher ships beside a GDA94 copy.

73hospitals

8fields

12formats

1version

Open this dashboard in the explorer Download Query

Made for agents

Connect your AI agent

Any agent that connects to publicdata.au/mcp can find this dataset, read its 8 fields, count and filter across all 73 rows and diff its versions. Every answer names the version and carries SA Health's attribution. No key.

Then ask it: What does Public hospital locations, South Australia hold, and what changed in the newest version?

claude mcp add --transport http publicdata https://publicdata.au/mcp

One command. No key, no account, no sign-up.

https://publicdata.au/mcp

Streamable 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.

ExploreChart every row in your browser

A dashboard over every row. Click to filter, add panels, share a link or embed a frame.

Query APIFilter and count from a URL

aggregate?group=emergency&metric=count

Hospitals by emergency care: 51 Emergency Service, 17 Emergency Department, 5 No.

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.

Format

Version "Latest" redirects to the newest version and will change when the publisher releases again. A dated version never changes.

https://publicdata.au/d/sa-public-hospitals/latest/data.xlsx

Download

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/sa-public-hospitals/latest/ redirects to the newest version.

https://publicdata.au/d/sa-public-hospitals/latest/data.csv

In 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/sa-public-hospitals/latest/data.csv

In 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("sa-public-hospitals")
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("sa-public-hospitals")
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/sa-public-hospitals/v/2026-06-28/data.duckdb' AS sa_public_hospitals (READ_ONLY);
SELECT name, count(*) FROM sa_public_hospitals.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/sa-public-hospitals/aggregate?group=emergency&metric=count");
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
name	string	name
address	string	address
suburb	string	suburb
postcode	string	postcode
type	string	type
emergency	string	emergency	Emergency Department, Emergency Service or No, as the publisher writes it. Most country hospitals have an emergency service.
longitude	number	(longitude)	Decimal degrees, GDA2020, from the point geometry.
latitude	number	(latitude)	Decimal degrees, GDA2020, from the point geometry.

Download this table as a data dictionary (Excel), or read it as a Frictionless Table Schema at schema.json.

The first 10 rows

From the latest version, in the publisher's order, with every field. A blank cell is shown as null.

name	address	suburb	postcode	type	emergency	longitude	latitude
Royal Adelaide Hospital	Port Road	Adelaide	5000	Public Hospital	Emergency Department	138.587056465	-34.921162295
Glenside Health Services	226 Fullarton Road	Glenside	5065	Public Psychiatric Hospital	No	138.62941957	-34.945150643
Hampstead Rehabilitation Centre	205-207 Hampstead Road	Lightsview	5085	Public Rehabilitation Hospital	No	138.620247669	-34.861626709
Modbury Hospital	41-69 Smart Road	Modbury	5092	Public Hospital	Emergency Department	138.69050363	-34.834270061
Flinders Medical Centre	Flinders Drive	Bedford Park	5042	Public Hospital	Emergency Department	138.569070213	-35.02107864
Women's & Children's Hospital	72 King William Road	North Adelaide	5006	Public Hospital	Emergency Department	138.599940946	-34.911513197
The Queen Elizabeth Hospital	28 Woodville Road	Woodville South	5011	Public Hospital	Emergency Department	138.533839619	-34.883533571
Lyell McEwin Hospital	120-130 Haydown Road	Elizabeth Vale	5112	Public Hospital	Emergency Department	138.664836487	-34.747690588
Pregnancy Advisory Centre	21 Belmore Terrace	Woodville	5011	Public Hospital	No	138.543074443	-34.88019321
Noarlunga Hospital	Alexander Kelly Drive	Noarlunga Centre	5168	Public Hospital	Emergency Department	138.500416206	-35.139592538

The first row as JSON

As it appears in data.json.

GET https://publicdata.au/d/sa-public-hospitals/latest/data.json
{
  "name": "Royal Adelaide Hospital",
  "address": "Port Road",
  "suburb": "Adelaide",
  "postcode": "5000",
  "type": "Public Hospital",
  "emergency": "Emergency Department",
  "longitude": 138.58705646500005,
  "latitude": -34.92116229499993
}

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.

Try rows or aggregate for this dataset. The query builder needs JavaScript.

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.

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.

2026-06-28
73 rows8 fieldszip6429a1ad7537

versions.json · changes.json · history.tar.zst (7.7 KB, every version's Parquet and manifest)

Questions

How do I download Public hospital locations as a CSV file?

Open https://publicdata.au/d/sa-public-hospitals/latest/data.csv. It redirects to the newest dated version, which is https://publicdata.au/d/sa-public-hospitals/v/2026-06-28/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 Public hospital locations in Excel?

Yes. https://publicdata.au/d/sa-public-hospitals/v/2026-06-28/data.xlsx is a workbook with the 73 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/sa-public-hospitals/v/2026-06-28/data.csv.gz is the CSV at about a tenth of the size.

How often is Public hospital locations updated?

SA Health releases it when the publisher updates the list. This site checks the portal every week and adds a dated version when the file changes.

Can I use Public hospital locations 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 Public hospital locations?

No. The publisher is SA Health, and its page is https://data.sa.gov.au/data/dataset/sa-public-hospitals. This site republishes the publisher's file without changing its content. The original sits beside every version as source.zip with its SHA-256, so the two can be compared.

What coordinate system does Public hospital locations use?

Coordinates are longitude and latitude in GDA2020 (EPSG:7844), from the publisher's GDA2020 file. 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.zip so the change can be checked.

The publisher releases Hospital locations, South Australia as 2 files at once, so all 2 tables here share a version date.

Attribution and citation

The licence requires the publisher's attribution. We ask that you also name publicdata.au and link to the version you used.

SA Health, Government of South Australia, SA Public Hospitals, https://data.sa.gov.au/data/dataset/sa-public-hospitals, accessed 3 October 2026, licensed under CC BY 4.0. Serialised and versioned by National Digital at publicdata.au, https://publicdata.au/d/sa-public-hospitals/v/2026-06-28/

The attribution alone is inside every file. Harvard is the author-date form a report or a brief asks for. Paste the HTML on a web page so the links carry.

Licence record

SA Health states the licence, CC BY 4.0, on its own page, which was read and recorded here on 1 October 2026.

Every fetch reads the licence again and stops when it has changed. The fetch that made version 2026-06-28 read it from data.sa.gov.au on 3 October 2026.

Also published on

Hugging Faceload_dataset("National-Digital/sa-public-hospitals")
Kagglewith a starter notebook
ZenodoDOI 10.5281/zenodo.23116522

Each copy carries the same attribution and links back to this page.

For agents and tools

datapackage.jsonFrictionless data package pointing at the latest version
schema.jsonTable Schema for every field
schema.xlsxthe same field list as an Excel data dictionary
versions.jsonevery version with date, rows, fields and hash
changes.jsondiff for every consecutive pair
manifest.jsonwhere the bytes came from and when
Query APIfiltered rows and counts without a download
openapi.jsonOpenAPI 3.1 for this dataset's query paths
explore/charts and dashboards in the browser, shareable and embeddable
index.mdthis page as Markdown

This page carries a schema.org Dataset record and is listed in /.well-known/ard.json and /catalog.json.

Source

SA Health publishes this table on www.dptiapps.com.au. Questions about the content go to the publisher. Questions about the files here go to corrections.

Fetched 3 October 2026. Source SHA-256 6429a1ad75370c73…

Improve this dataset

This page is built from register/sa-public-hospitals.yaml on GitHub. Anyone can propose a fix to it, such as a clearer description or a field the publisher renamed, as a pull request.

Report a file that differs from the publisher's · How to contribute