One council area, with the publisher's counts of dwellings and their characteristics in the columns named.

The publisher replaces every count for a council area with n.p. where the area has one to three dwellings. Those cells are nulls here, flagged as suppressed.

Are the counts exact?

No. The publisher rounds counts to the nearest multiple of 5, so rows and columns may not add to the totals. The publisher's Total and percentage of total rows are kept as published at the end of the table, and because the percentage row holds fractions, every count column is typed as a number.

Which date does the table cover?

The newest file the publisher has released, 30 June 2021 at the first version. The files for 2019-20 stay on the portal, and each new file becomes a version here.

Datasets / South Australia / SA Housing Trust / Public housing by council area, South Australia

Public housing dwellings by council area, South Australia

Name: Public housing dwellings by council area, South Australia
Creator: South Australian Housing Trust
Published: 2022-06-06
License: https://creativecommons.org/licenses/by/4.0/

live

Publisher South Australian Housing TrustUpdated yearlyLicence CC BY 4.0Latest 2022-06-06Rows 63Fields 14

Public housing dwellings by Local Government Area from the South Australian Housing Trust, from South Australia's contribution to the national Public Housing data collection. Each row is one council area with the number of dwellings, the publisher's rate per 10,000 residential dwellings, the numbers tenantable, untenantable and occupied, the share of tenantable dwellings occupied, the average market rent, and the dwellings by number of bedrooms and by dwelling type.

Also called: Social Housing dwellings SA, SA public housing stock by LGA, Number of Housing Trust homes by council.

Part of Public housing by council area, South Australia, 3 tables the publisher releases together: Public housing households by council area, South Australia, New households housed in public housing by council area, South Australia.

Before you use it

What is in each row?: One council area, with the publisher's counts of dwellings and their characteristics in the columns named.
What does n.p. mean?: The publisher replaces every count for a council area with n.p. where the area has one to three dwellings. Those cells are nulls here, flagged as suppressed.
Are the counts exact?: No. The publisher rounds counts to the nearest multiple of 5, so rows and columns may not add to the totals. The publisher's Total and percentage of total rows are kept as published at the end of the table, and because the percentage row holds fractions, every count column is typed as a number.
Which date does the table cover?: The newest file the publisher has released, 30 June 2021 at the first version. The files for 2019-20 stay on the portal, and each new file becomes a version here.

Made for agents

Connect your AI agent

Any agent that connects to publicdata.au/mcp can find this dataset, read its 14 fields, count and filter across all 63 rows and diff its versions. Every answer names the version and carries SA Housing Trust's attribution. No key.

Then ask it: What does Public housing dwellings by council area, 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=lga&metric=sum.number_of_dwellings&lga=neq.Total%20-%20dwellings

Dwellings by local government area where local government area is not Total - dwellings: 4,085 City of Port Adelaide Enfield, 3,105 City of Salisbury, 3,070 City of Onkaparinga, 2,915 City of Playford.

Download it as Excel, CSV, JSON and 6 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-housing-dwellings/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-housing-dwellings/latest/ redirects to the newest version.

https://publicdata.au/d/sa-public-housing-dwellings/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-housing-dwellings/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-housing-dwellings")
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-housing-dwellings")
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-housing-dwellings/v/2022-06-06/data.duckdb' AS sa_public_housing_dwellings (READ_ONLY);
SELECT lga, count(*) FROM sa_public_housing_dwellings.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-housing-dwellings/aggregate?group=lga&metric=sum.number_of_dwellings&lga=neq.Total%20-%20dwellings");
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
lga	string	Local Government Area
number_of_dwellings	number	Number of Dwellings
rate_per_10_000_of_all_residential_dwellings	number	Rate per 10,000 of all residential dwellings	The publisher's figure, as published.
tenantable_dwellings	number	Tenantable Dwellings
untenantable_dwellings_or_undergoing_major_redevelopment	number	Untenantable Dwellings or undergoing major redevelopment
number_of_occupied_dwellings	number	Number of Occupied Dwellings
pct_of_tenantable_dwellings_that_are_occupied	number	% of Tenantable dwellings that are Occupied	The publisher's figure, as published, written as a fraction, such as 0.96 for 96 per cent.
average_market_rent_of_dwelling_30_june	number	Average market rent of dwelling, 30 June	The publisher's figure, as published.
bedrooms_1_or_2	number	1 or 2 bedrooms
bedrooms_3	number	3 bedrooms
bedrooms_4_or_more	number	4 or more bedrooms
separate_houses	number	Separate houses
semi_detached	number	Semi-detached
flat_unit_or_apartment	number	Flat, unit or apartment
suppressed	array		Names of the fields the publisher suppressed in this row. The cells are null.

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

A sample of 10 rows

The ten council areas with the most public housing dwellings, most first. A blank cell is shown as null.

lga	number_of_dwellings	rate_per_10_000_of_all_residential_dwellings	tenantable_dwellings	untenantable_dwellings_or_undergoing_major_redevelopment	number_of_occupied_dwellings	pct_of_tenantable_dwellings_that_are_occupied	average_market_rent_of_dwelling_30_june	bedrooms_1_or_2	bedrooms_3	bedrooms_4_or_more	separate_houses	semi_detached	flat_unit_or_apartment
City of Port Adelaide Enfield	4085	726.030169542	4010	75	3875	0.966334164589	286.810374358	2530	1360	200	1480	1965	645
City of Salisbury	3105	545.230245643	3095	10	3010	0.97253634895	253.794392523	1410	1515	180	1495	1045	565
City of Onkaparinga	3070	414.468051529	3055	15	2965	0.9705400982	255.875936177	1385	1550	135	1535	965	570
City of Playford	2915	724.924871689	2850	65	2715	0.952631578947	214.237654321	1290	1430	195	975	1420	525
City of Charles Sturt	2880	534.184358212	2790	90	2655	0.951612903226	282.959708232	1770	1025	85	500	1835	540
City of Marion	2140	509.376653364	2130	15	2005	0.941314553991	293.214845938	1515	570	60	690	935	515
City of Whyalla	2095	1901.77091786	2085	15	1975	0.947242206235	193.087267525	385	1620	95	115	1905	75
City of West Torrens	1270	461.616374129	1230	45	1190	0.967479674797	280.192761605	980	270	20	300	495	475
City of Tea Tree Gully	1250	305.005590471	1245	0	1220	0.979919678715	294.188951161	670	535	40	780	345	125
City of Mount Gambier	1040	824.649216284	1035	5	995	0.961352657005	191.327569645	280	725	35	325	635	85

The first row as JSON

As it appears in data.json.

GET https://publicdata.au/d/sa-public-housing-dwellings/latest/data.json
{
  "lga": "Adelaide Hills Council",
  "number_of_dwellings": 20.0,
  "rate_per_10_000_of_all_residential_dwellings": 12.295212355082258,
  "tenantable_dwellings": 20.0,
  "untenantable_dwellings_or_undergoing_major_redevelopment": 0.0,
  "number_of_occupied_dwellings": 20.0,
  "pct_of_tenantable_dwellings_that_are_occupied": 1.0,
  "average_market_rent_of_dwelling_30_june": 294.10526315789474,
  "bedrooms_1_or_2": 0.0,
  "bedrooms_3": 20.0,
  "bedrooms_4_or_more": 0.0,
  "separate_houses": 20.0,
  "semi_detached": 0.0,
  "flat_unit_or_apartment": 0.0,
  "suppressed": []
}

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.

2022-06-06
63 rows14 fieldsxlsxadcbb0aaa59f

versions.json · changes.json · history.tar.zst (8.7 KB, every version's Parquet and manifest)

Questions

How do I download Public housing dwellings by council area as a CSV file?

Open https://publicdata.au/d/sa-public-housing-dwellings/latest/data.csv. It redirects to the newest dated version, which is https://publicdata.au/d/sa-public-housing-dwellings/v/2022-06-06/data.csv today. The same path serves Excel, JSON, Parquet, SQLite, DuckDB, NDJSON, Arrow. A dated URL never changes, so use it when the file must stay the same.

Can I open Public housing dwellings by council area in Excel?

Yes. https://publicdata.au/d/sa-public-housing-dwellings/v/2022-06-06/data.xlsx is a workbook with the 63 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-housing-dwellings/v/2022-06-06/data.csv.gz is the CSV at about a tenth of the size.

How often is Public housing dwellings by council area updated?

SA Housing Trust releases it yearly. This site checks the portal every week and adds a dated version when the file changes.

Can I use Public housing dwellings by council area 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 housing dwellings by council area?

No. The publisher is South Australian Housing Trust, and its page is https://data.sa.gov.au/data/dataset/social-housing-dwellings. 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.

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 Public housing by council area, South Australia as 3 files at once, so all 3 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.

South Australian Housing Trust, Government of South Australia, Social Housing – dwellings, https://data.sa.gov.au/data/dataset/social-housing-dwellings, 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-housing-dwellings/v/2022-06-06/

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

South Australian Housing Trust 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 2022-06-06 read it from data.sa.gov.au on 3 October 2026.

Also published on

Hugging Faceload_dataset("National-Digital/sa-public-housing-dwellings")
Kagglewith a starter notebook
ZenodoDOI 10.5281/zenodo.23116561

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

South Australian Housing Trust publishes this table on data.sa.gov.au. Questions about the content go to the publisher. Questions about the files here go to corrections.

Fetched 3 October 2026. Source SHA-256 adcbb0aaa59f732c…

Improve this dataset

This page is built from register/sa-public-housing-dwellings.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