Which date does the table cover?

The newest file, vehicles registered at 30 June 2026 at the first version. The publisher adds a file each July, and each becomes a version here. The files back to 2014 stay on the portal.

Why do so many vehicles date from 1900?

The publisher appears to use 1900 where the year of manufacture is not known. That year holds far more vehicles than any year before the 1920s, most of them trailers. The chart leaves it out.

Why do some postcodes have three digits?

The publisher gives some Northern Territory postcodes without their leading zero, such as 835. They are kept as published.

Datasets / South Australia / Infrastructure and Transport / Registered vehicles and driver's licences, South Australia

Registered vehicles by owner postcode, make and body type, South Australia

Name: Registered vehicles by owner postcode, make and body type, South Australia
Creator: Department for Infrastructure and Transport
Published: 2026-07-09
License: https://creativecommons.org/licenses/by/4.0/

live

Publisher Department for Infrastructure and TransportUpdated yearlyLicence CC BY 4.0Latest 2026-07-09Rows 764,731Fields 6

Registered vehicles by postcode from the Department for Infrastructure and Transport, which refers to the report as TRLB04. Each row is one owner postcode, vehicle make, body type, number of cylinders and year of manufacture, with the count of registered vehicles that share them.

Also called: Registered Vehicles by Postcode SA, TRLB04 registered vehicles, Number of cars by postcode South Australia, SA vehicle registrations by make and model year.

Part of Registered vehicles and driver's licences, South Australia, 4 tables the publisher releases together: Registered vehicles by colour, make and body type, South Australia, Registered vehicles by body type and vehicle type, South Australia, Driver's licences by postcode, age and sex, South Australia.

Before you use it

What is in each row?: The number of vehicles registered at 30 June to owners in one postcode that share one make, body type, number of cylinders and year of manufacture. Trailers and caravans are counted with the other vehicles and have no cylinders.
Which date does the table cover?: The newest file, vehicles registered at 30 June 2026 at the first version. The publisher adds a file each July, and each becomes a version here. The files back to 2014 stay on the portal.
Why do so many vehicles date from 1900?: The publisher appears to use 1900 where the year of manufacture is not known. That year holds far more vehicles than any year before the 1920s, most of them trailers. The chart leaves it out.
Why do some postcodes have three digits?: The publisher gives some Northern Territory postcodes without their leading zero, such as 835. They are kept as published.

764,731vehicle counts

1901 to 2025years drawn

6fields

9formats

1version

Registered vehicles by year of manufacture per year, 1901 to 2025. Rows where year of manufacture is over 1900 are drawn. 2026 is not drawn because the year was not over when the publisher released this version on 9 July 2026. The figure is a sum of the vehicles column from version 2026-07-09, worked out in the build. Nothing else is added.

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 6 fields, count and filter across all 764,731 rows and diff its versions. Every answer names the version and carries Infrastructure and Transport's attribution. No key.

Then ask it: What does Registered vehicles by owner postcode, make and body type, 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

The dashboard above, live. Click to filter, add panels, share a link or embed a frame.

Query APIFilter and count from a URL

aggregate?group=make&metric=sum.vehicles

Registered vehicles by make: 339,752 TOYOTA, 138,966 HOLDEN, 138,242 FORD, 137,357 MAZDA.

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-registered-vehicles-by-postcode/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-registered-vehicles-by-postcode/latest/ redirects to the newest version.

https://publicdata.au/d/sa-registered-vehicles-by-postcode/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-registered-vehicles-by-postcode/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-registered-vehicles-by-postcode")
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-registered-vehicles-by-postcode")
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-registered-vehicles-by-postcode/v/2026-07-09/data.duckdb' AS sa_registered_vehicles_by_postcode (READ_ONLY);
SELECT body_type, count(*) FROM sa_registered_vehicles_by_postcode.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-registered-vehicles-by-postcode/aggregate?group=make&metric=sum.vehicles");
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
owner_postcode	string	Owner PostCode
make	string	Vehicle Make
body_type	string	Vehicle Body Type
cylinders	string	Vehicle Number of Cylinders	As the publisher writes it, such as 4 Cylinders or Rotary. It is blank for trailers and caravans, and for many electric vehicles.
year_of_manufacture	integer	Vehicle Year of Manufacture
vehicles	integer	Count of Vehicle ROIDs

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 largest counts in the table, largest first, with each body type taking turns. A blank cell is shown as null.

owner_postcode	make	body_type	cylinders	year_of_manufacture	vehicles
5000	TOYOTA	STATION WAGON	4 Cylinders	2024	768
5000	TOYOTA	UTILITY	4 Cylinders	2025	389
5000	TOYOTA	SEDAN	4 Cylinders	2024	371
2170	ISUZU	TRUCK	4 Cylinders	2025	179
5031	UBCO	SOLO	null	2025	143
5031	KYBURZ	TRI CYCLE	null	2020	142
5094	B C TRAILER	TRAILER	null	2006	113
5024	MERCEDES BENZ	AMBULANCE	4 Cylinders	2024	107
5031	HONDA	SCOOTER	null	2021	103
5094	TOYOTA	FORK-LIFT	4 Cylinders	2022	94

The first row as JSON

As it appears in data.json.

GET https://publicdata.au/d/sa-registered-vehicles-by-postcode/latest/data.json
{
  "owner_postcode": "0800",
  "make": "HOLDEN",
  "body_type": "STATION WAGON",
  "cylinders": "4 Cylinders",
  "year_of_manufacture": 2002,
  "vehicles": 1
}

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.

Smaller files

The same rows split by a field, one JSON file each. Each file carries the same provenance header.

By body_type (83 files)

AGRICULTURAL CYCLE AMBULANCE AMUSEMENT TRAILER ANIMAL TRANSPORTER TRAILER ANIMAL TRANSPORTER VEHICLE ARMOURED VEHICLE AUTO CYCLE BOAT TRAILER BOOM DOLLY BUS CARAVAN CARAVAN VEHICLE CHAUFFEURED VEHICLE COUNTRY TAXI DOG TRAILER DOLLY TRAILER DRILLING RIG PLANT DRILLING RIG TRAILER DRILLING RIG VEHICLE EARTH MOVING TRAILER EARTH MOVING VEHICLE FERTILISER SPREADER FIRE APPLIANCE TRAILER FIRE APPLIANCE VEHICLE FORK-LIFT GARBAGE COMPACT GOLF BUGGY HEARSE HONEY EXTRACTOR INDUSTRIAL TRAILER INDUSTRIAL VEHICLE LAND IMPLEMENT TRAILER LAND IMPLEMENT VEHICLE LAWN CARE MACHINE LEAD TRAILER LOW LOADER LOW LOADER DOLLY MEDICAL TRAILER MIXER VEHICLE MOBILE CRANE TRAILER MOBILE CRANE VEHICLE MOWER TRAILER MOWER VEHICLE NONCOMMERCIAL-VAN NONCOMMERCIAL-VAN TRAILER NOT RECORDED-COMM TRL NOT RECORDED-COMM VEH NOT RECORDED-CYCLE NOT RECORDED-NON-COMM TRL NOT RECORDED-NON-COMM VEH PANEL VAN PIG TRAILER PRIME MOVER QUAD CYCLE SCOOTER SEDAN SEMI TRAILER SIDECAR SMALL BUS SOLO SPRAY TANKER TRAILER SPRAY TANKER VEHICLE STATION WAGON SWEEPER TANKER TRAILER TANKER VEHICLE TAXI TAXI-WAGON TIPPER TRAILER TIPPER VEHICLE TOURER TOURING UTILITY TOW TRUCK TRACTOR TRAILER TRANSPORTER TRAILER TRANSPORTER VEHICLE TRI CAR TRI CYCLE TRUCK UTILITY VAN TRAILER VAN VEHICLE

by/body_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.

2026-07-09
764,731 rows6 fieldsutf-8-siga9674fec939a

versions.json · changes.json · history.tar.zst (1.5 MB, every version's Parquet and manifest)

Questions

How do I download Registered vehicles by owner postcode, make and body type as a CSV file?

Open https://publicdata.au/d/sa-registered-vehicles-by-postcode/latest/data.csv. It redirects to the newest dated version, which is https://publicdata.au/d/sa-registered-vehicles-by-postcode/v/2026-07-09/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 Registered vehicles by owner postcode, make and body type in Excel?

Yes. https://publicdata.au/d/sa-registered-vehicles-by-postcode/v/2026-07-09/data.xlsx is a workbook with the 764,731 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-registered-vehicles-by-postcode/v/2026-07-09/data.csv.gz is the CSV at about a tenth of the size.

What years does Registered vehicles by owner postcode, make and body type cover?

The current version covers 1901 to 2025. Each release from Infrastructure and Transport becomes a new dated version here, and earlier versions stay online.

How often is Registered vehicles by owner postcode, make and body type updated?

Infrastructure and Transport releases it yearly. This site checks the portal every week and adds a dated version when the file changes.

Can I use Registered vehicles by owner postcode, make and body type 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 Registered vehicles by owner postcode, make and body type?

No. The publisher is Department for Infrastructure and Transport, and its page is https://data.sa.gov.au/data/dataset/registered-vehicles-by-postcode. This site republishes the publisher's file without changing its content. The original sits beside every version as source.csv with its SHA-256, so the two can be compared.

How do I get only the rows for one body type?

Every version has one JSON file per value of body_type, 83 files in the current version, listed with row counts at https://publicdata.au/d/sa-registered-vehicles-by-postcode/v/2026-07-09/by/body_type/index.json. For example https://publicdata.au/d/sa-registered-vehicles-by-postcode/v/2026-07-09/by/body_type/sedan.json holds the 154,848 rows where body_type is SEDAN.

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.csv so the change can be checked.

Registered vehicles and driver's licences, South Australia is 4 tables here, and each takes its version date from its own file.

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.

Department for Infrastructure and Transport, Government of South Australia, Registered Vehicles by Postcode, https://data.sa.gov.au/data/dataset/registered-vehicles-by-postcode, accessed 3 October 2026, licensed under CC BY 4.0. Serialised and versioned by National Digital at publicdata.au, https://publicdata.au/d/sa-registered-vehicles-by-postcode/v/2026-07-09/

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

Department for Infrastructure and Transport 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 2026-07-09 read it from data.sa.gov.au on 3 October 2026.

Also published on

Hugging Faceload_dataset("National-Digital/sa-registered-vehicles-by-postcode")
Kagglewith a starter notebook
ZenodoDOI 10.5281/zenodo.23116474

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

Department for Infrastructure and Transport 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 a9674fec939a99f1…

Improve this dataset

This page is built from register/sa-registered-vehicles-by-postcode.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