One council area, with the publisher's counts of households 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 households. 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 households by council area, South Australia

Name: Public housing households 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 29

Public housing households 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 households and household members, Aboriginal households and households with a person with disability, average market and charged rents, the households paying less than market rent, and counts by household composition, children and older members, match of dwelling to household size, tenure length and main source of income.

Also called: Social Housing households SA, SA public housing tenants by LGA, Housing Trust households by council.

Part of Public housing by council area, South Australia, 3 tables the publisher releases together: Public housing dwellings 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 households 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 households. 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 29 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 households 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.total_households&lga=neq.Total%20-%20households

Public housing households by local government area where local government area is not Total - households: 3,875 City of Port Adelaide Enfield, 3,010 City of Salisbury, 2,965 City of Onkaparinga, 2,715 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-households/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-households/latest/ redirects to the newest version.

https://publicdata.au/d/sa-public-housing-households/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-households/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-households")
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-households")
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-households/v/2022-06-06/data.duckdb' AS sa_public_housing_households (READ_ONLY);
SELECT lga, count(*) FROM sa_public_housing_households.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-households/aggregate?group=lga&metric=sum.total_households&lga=neq.Total%20-%20households");
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
total_households	number	Total households
number_of_household_members	number	Number of household members
aboriginal_households	number	Aboriginal households
households_with_person_with_disability	number	Households with person with disability
average_market_rent_of_occupied_dwellings_30_june	number	Average market rent of occupied dwellings, 30 June	The publisher's figure, as published.
average_rent_changed_30_june	number	Average rent changed, 30 June	The publisher's figure, as published.
paying_less_than_market_rent	number	Paying less than market rent
single_person	number	Single person
single_parent_with_dependent_children	number	Single parent with dependent children
couple_only	number	Couple only
couple_with_dependent_children	number	Couple with dependent children
group_or_mixed_composition	number	Group or mixed composition
has_child_under_15_years	number	Has child under 15 years
has_child_under_5_years	number	Has child under 5 years
has_adult_65_years_or_more	number	Has adult 65 years or more
younger_person_main_tenant_under_25_years	number	Younger person (main tenant under 25 years)
overcrowded_households	number	Overcrowded households
underutilised_households	number	Underutilised households
tenure_under_3_years	number	under 3 years
tenure_3_to_9_years	number	3 to 9 years
tenure_10_or_more_years	number	10 or more years
aged_pension	number	Aged Pension
disability_support_pension	number	Disability Support Pension
job_seeker	number	Job Seeker
other_government_payment	number	Other Government payment
employee_cash_income_wages	number	Employee cash income / wages
other_cash_income	number	Other cash income
income_not_stated	number	Income not stated
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 households, most first. A blank cell is shown as null.

lga	total_households	number_of_household_members	aboriginal_households	households_with_person_with_disability	average_market_rent_of_occupied_dwellings_30_june	average_rent_changed_30_june	paying_less_than_market_rent	single_person	single_parent_with_dependent_children	couple_only	couple_with_dependent_children	group_or_mixed_composition	has_child_under_15_years	has_child_under_5_years	has_adult_65_years_or_more	younger_person_main_tenant_under_25_years	overcrowded_households	underutilised_households	tenure_under_3_years	tenure_3_to_9_years	tenure_10_or_more_years	aged_pension	disability_support_pension	job_seeker	other_government_payment	employee_cash_income_wages	other_cash_income	income_not_stated
City of Port Adelaide Enfield	3875	6370	290	1375	287.772785954	144.836586625	3605	2450	310	325	110	675	435	140	1600	75	110	695	960	1065	1850	1155	1190	520	420	280	40	275
City of Salisbury	3010	5255	180	1295	254.430043204	149.853562645	2615	1710	295	335	80	595	375	115	1235	30	75	860	585	715	1710	900	905	375	290	165	30	350
City of Onkaparinga	2965	4930	195	1265	257.133850303	142.234615644	2695	1810	265	280	65	540	335	95	1070	60	65	920	500	700	1765	750	1110	410	305	160	15	215
City of Playford	2715	4915	225	1270	216.38725129	141.188706706	2280	1560	305	245	100	510	410	115	985	50	70	750	655	920	1140	680	830	385	315	90	15	395
City of Charles Sturt	2655	4190	190	955	285.66654107	139.858722683	2455	1750	225	210	65	395	295	100	1030	65	60	530	685	750	1225	740	825	425	260	195	30	185
City of Marion	2005	2985	125	880	296.051944167	134.962851446	1910	1395	165	170	30	245	200	55	775	60	30	290	530	610	870	565	705	315	200	105	15	100
City of Whyalla	1975	3320	310	985	193.424810127	127.750278481	1640	1255	290	165	60	200	350	140	570	110	30	1105	535	615	825	420	430	440	340	80	10	255
City of Tea Tree Gully	1220	1915	50	505	294.714168714	148.679459459	1105	780	90	130	20	200	115	30	505	15	20	325	205	245	770	385	400	130	105	85	10	105
City of West Torrens	1190	1675	55	440	283.683193277	132.537478992	1095	895	50	80	25	140	80	30	435	30	20	145	280	320	590	305	455	180	85	70	10	80
City of Mount Gambier	995	1825	95	470	191.923694779	134.225401606	820	560	175	85	45	130	210	80	280	40	20	390	305	310	380	180	270	185	145	45	5	165

The first row as JSON

As it appears in data.json.

GET https://publicdata.au/d/sa-public-housing-households/latest/data.json
{
  "lga": "Adelaide Hills Council",
  "total_households": 20.0,
  "number_of_household_members": 30.0,
  "aboriginal_households": 0.0,
  "households_with_person_with_disability": 10.0,
  "average_market_rent_of_occupied_dwellings_30_june": 295.1111111111111,
  "average_rent_changed_30_june": 173.83333333333337,
  "paying_less_than_market_rent": 15.0,
  "single_person": 10.0,
  "single_parent_with_dependent_children": 0.0,
  "couple_only": 5.0,
  "couple_with_dependent_children": 0.0,
  "group_or_mixed_composition": 5.0,
  "has_child_under_15_years": 0.0,
  "has_child_under_5_years": 0.0,
  "has_adult_65_years_or_more": 10.0,
  "younger_person_main_tenant_under_25_years": 0.0,
  "overcrowded_households": 0.0,
  "underutilised_households": 10.0,
  "tenure_under_3_years": 5.0,
  "tenure_3_to_9_years": 0.0,
  "tenure_10_or_more_years": 10.0,
  "aged_pension": 5.0,
  "disability_support_pension": 5.0,
  "job_seeker": 5.0,
  "other_government_payment": 0.0,
  "employee_cash_income_wages": 0.0,
  "other_cash_income": 0.0,
  "income_not_stated": 0.0,
  "suppressed": []
}

{
  "lga": "Adelaide Hills Council",
  "total_households": 20.0,
  "number_of_household_members": 30.0,
  "aboriginal_households": 0.0,
  "households_with_person_with_disability": 10.0,
  "average_market_rent_of_occupied_dwellings_30_june": 295.1111111111111,
  "average_rent_changed_30_june": 173.83333333333337,
  "paying_less_than_market_rent": 15.0,
  "single_person": 10.0,
  "single_parent_with_dependent_children": 0.0,
  "couple_only": 5.0,
  "couple_with_dependent_children": 0.0,
  "group_or_mixed_composition": 5.0,
  "has_child_under_15_years": 0.0,
  "has_child_under_5_years": 0.0,
  "has_adult_65_years_or_more": 10.0,
  "younger_person_main_tenant_under_25_years": 0.0,
  "overcrowded_households": 0.0,
  "underutilised_households": 10.0,
  "tenure_under_3_years": 5.0,
  "tenure_3_to_9_years": 0.0,
  "tenure_10_or_more_years": 10.0,
  "aged_pension": 5.0,
  "disability_support_pension": 5.0,
  "job_seeker": 5.0,
  "other_government_payment": 0.0,
  "employee_cash_income_wages": 0.0,
  "other_cash_income": 0.0,
  "income_not_stated": 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 rows29 fieldsxlsxaa2a019a0d0d

versions.json · changes.json · history.tar.zst (11 KB, every version's Parquet and manifest)

Questions

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

Open https://publicdata.au/d/sa-public-housing-households/latest/data.csv. It redirects to the newest dated version, which is https://publicdata.au/d/sa-public-housing-households/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 households by council area in Excel?

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

How often is Public housing households 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 households 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 households by council area?

No. The publisher is South Australian Housing Trust, and its page is https://data.sa.gov.au/data/dataset/social-housing-households. 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 – households, https://data.sa.gov.au/data/dataset/social-housing-households, 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-households/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-households")
Kagglewith a starter notebook
ZenodoDOI 10.5281/zenodo.23116565

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 aa2a019a0d0dfcb3…

Improve this dataset

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