Speed and red light camera offences, South Australia
liveThe Camera Offence Report from South Australia Police's Expiation Notice Branch. Each row is one offence from a fixed or mobile camera, such as speeding, a red light or a mobile phone, with the event and notice revision it belongs to, the notice and offence status and any withdrawal reason, the incident date and time, the offence code and description, the issue date, the camera category and location, the police district, the vehicle and the states of licence and registration, the speed and limit, and the amounts.
The report format changed from 2022-23. Earlier years on the portal follow the publisher's legacy layout.
Also called: SAPOL Camera Offence Report, SA speed camera offences, South Australian red light camera fines, Expiation notices from safety cameras.
Part of Expiation notices, South Australia Police, 4 tables the publisher releases together: Traffic and other offences on police-issued expiation notices, South Australia, Safety camera detections not issued as offences, South Australia, Mobile safety camera location codes, South Australia.
- What is in each row?
- One offence detected by a fixed or mobile safety camera, with the incident date and time, the offence code and description, the notice's revision and status, the camera's location, the vehicle, the speed and limit where it was a speeding offence, and the penalty, levy, corporate fee and total.
- Is each row one fine?
- No. Each row is one offence. A notice may hold several offences and may be withdrawn and reissued, so one Event ID can appear on several rows, each with its notice revision.
- Which period does the table cover?
- The financial year of the newest report, 2026-27 at the first version, which the publisher replaces as the year goes on. Each new file becomes a version here, and the reports back to 2011-12 stay on the portal.
- Why are the amounts text?
- The publisher writes each amount with a dollar sign and a thousands separator, such as $1,002. The amounts are kept as published.
Made for agents
Connect your AI agent
Any agent that connects to publicdata.au/mcp can find this dataset, read its 25 fields, count and filter across all 45,229 rows and diff its versions. Every answer names the version and carries SAPOL's attribution. No key.
Then ask it: What does Speed and red light camera offences, 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.
Settings, then Connectors, then Add custom connector, and paste https://publicdata.au/mcp.
On the web and in the desktop app.
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.
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=offence_description&metric=count&offence_status=neq.WITHDRAWN%20REISSUED
Camera offences by offence, counting a reissued notice once: 15,880 EXCEED SPEED LIMIT, 6,388 Use mobile phone while driving, 5,912 Be the owner of unregistered motor vehicle driven or found standing on a road, 3,061 Enter an intersection or marked foot crossing showing a red traffic light.
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.
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-camera-expiation-offences/latest/ redirects to the newest version.
https://publicdata.au/d/sa-camera-expiation-offences/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-camera-expiation-offences/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-camera-expiation-offences")
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-camera-expiation-offences")
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-camera-expiation-offences/v/2026-09-28/data.duckdb' AS sa_camera_expiation_offences (READ_ONLY);
SELECT camera_category, count(*) FROM sa_camera_expiation_offences.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-camera-expiation-offences/aggregate?group=offence_description&metric=count&offence_status=neq.WITHDRAWN%20REISSUED");
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 |
|---|---|---|---|
| event_id | string | Event ID | |
| notice_revision | string | Notice Revision | |
| notice_type | string | Notice Type Desc | |
| notice_status | string | Notice Status | |
| offence_status | string | Offence Status | |
| withdrawn_reason | string | Withdrawn Reason | |
| incident_date | date | Incident Start Date | |
| incident_time | string | Time 24 Hour - Incident Start | 24-hour time, as published, such as 0:05. |
| offence_code | string | Expiation Offence Code | |
| offence_description | string | Expiation Offence Description | |
| issue_date | date | Issue Date | |
| camera_category | string | Camera Category | |
| location_code | string | Location Code | Kept as text to preserve leading zeros. |
| location_description | string | Location Description | |
| location_suburb | string | Location Suburb | |
| district | string | District/Service Area | |
| vehicle_description | string | Vehicle Description | |
| licence_state | string | Licence State | |
| registration_state | string | Registration State | |
| vehicle_speed | integer | Vehicle Speed | |
| speed_limit | integer | Expiation Zone Speed Limit | |
| penalty_amount | string | Offence Penalty Amount | The legislated penalty for the offence at the time. As published, in dollars with a dollar sign, such as $1,002. |
| victims_of_crime_levy | string | Victim Of Crime Levy Amount | The levy at the time of the incident. As published, in dollars with a dollar sign, such as $1,002. |
| corporate_fee | string | Corporate Fee Amount | The fee where the vehicle is registered to a company. As published, in dollars with a dollar sign, such as $1,002. |
| offence_total | string | Offence Total | The penalty, levy and corporate fee together. As published, in dollars with a dollar sign, such as $1,002. |
Download this table as a data dictionary (Excel), or read it as a Frictionless Table Schema at schema.json.
A sample of 10 rows
From the latest version, newest first by incident date, each camera category in turn, then in the publisher's order, with every field. A blank cell is shown as null.
| event_id | notice_revision | notice_type | notice_status | offence_status | withdrawn_reason | incident_date | incident_time | offence_code | offence_description | issue_date | camera_category | location_code | location_description | location_suburb | district | vehicle_description | licence_state | registration_state | vehicle_speed | speed_limit | penalty_amount | victims_of_crime_levy | corporate_fee | offence_total |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| EMSEV151541 | EMSNOT001 | EXPIATION NOTICE | ISSUED | ISSUED | null | 2026-08-31 | 0:33 | ARR R 300(1) 1 | Use mobile phone while driving | 2026-09-10 | FIXED CAMERA | 1062 | Lane 2, North-South Motorway, Regency Park | Regency Park | WESTERN DISTRICT | 2007 GREY TOYOTA 1662 4DR 1.5L 4SPA YRS SEDAN | OTHER/OVERSEAS | VICTORIA | null | null | $592 | $108 | $0 | $700 |
| ENSEV14682501 | ENSNOT001 | EXPIATION NOTICE | ISSUED | ISSUED | null | 2026-08-31 | 8:01 | I771 | EXCEED SPEED LIMIT | 2026-09-01 | MOBILE CAMERA | 02312 | TOLMER RD | ELIZABETH PARK | NORTHERN DISTRICT | 09 WHITE TOYOTA SEDAN | SOUTH AUSTRALIA | SOUTH AUSTRALIA | 63 | 50 | $484 | $108 | $0 | $592 |
| EMSEV4516 | EMSNOT001 | EXPIATION NOTICE | ISSUED | ISSUED | null | 2026-08-31 | 0:39 | ARR R 20 1 | Exceed speed limit by less than 10 kph | 2026-09-01 | FIXED CAMERA | 056 | North East Rd and Ascot Ave, Vale Park | Vale Park | null | 2015 BLUE TOYOTA CAMRY | OTHER/OVERSEAS | SOUTH AUSTRALIA | 69 | 60 | $215 | $108 | $0 | $323 |
| ENSEV14682372 | ENSNOT001 | EXPIATION NOTICE | ISSUED | ISSUED | null | 2026-08-31 | 8:07 | I770 | EXCEED SPEED LIMIT | 2026-09-01 | MOBILE CAMERA | 00049 | ANDERSON WALK | SMITHFIELD | NORTHERN DISTRICT | 10 WHITE HYUNDAI SEDAN | SOUTH AUSTRALIA | SOUTH AUSTRALIA | 58 | 50 | $215 | $108 | $0 | $323 |
| EMSEV185439 | EMSNOT001 | EXPIATION NOTICE | ISSUED | ISSUED | null | 2026-08-31 | 1:34 | ARR R 20 3 | Exceed speed limit by 20-29 kph | 2026-09-01 | FIXED CAMERA | 146 | Commercial Rd, Edinburgh | Edinburgh | NORTHERN DISTRICT | 2012 BLACK NISSAN XTRAIL | SOUTH AUSTRALIA | SOUTH AUSTRALIA | 82 | 60 | $987 | $108 | $0 | $1,095 |
| ENSEV14682373 | ENSNOT001 | EXPIATION NOTICE | PAYMENT ARRANGEMENT | PAYMENT ARRANGEMENT | null | 2026-08-31 | 8:09 | I771 | EXCEED SPEED LIMIT | 2026-09-01 | MOBILE CAMERA | 00049 | ANDERSON WALK | SMITHFIELD | NORTHERN DISTRICT | 23 BLUE FORD STN WAGON | SOUTH AUSTRALIA | SOUTH AUSTRALIA | 67 | 50 | $484 | $108 | $0 | $592 |
| EMSEV285317 | EMSNOT001 | EXPIATION NOTICE | ISSUED | ISSUED | null | 2026-08-31 | 2:02 | ARR R 20 8 | Exceed speed limit by 10-19 kph (Average Speed Camera) | 2026-09-03 | FIXED CAMERA | 611 | Dukes Hwy, Coonalpyn to KiKi | Coonalpyn to KiKi | null | 2017 BLUE FORD FOCUS | SOUTH AUSTRALIA | SOUTH AUSTRALIA | 127 | 110 | $484 | $108 | $0 | $592 |
| ENSEV14682502 | ENSNOT001 | EXPIATION NOTICE | ISSUED | ISSUED | null | 2026-08-31 | 8:09 | I771 | EXCEED SPEED LIMIT | 2026-09-01 | MOBILE CAMERA | 02312 | TOLMER RD | ELIZABETH PARK | NORTHERN DISTRICT | 25 WHITE TOYOTA SEDAN | SOUTH AUSTRALIA | SOUTH AUSTRALIA | 61 | 50 | $484 | $108 | $0 | $592 |
| EMSEV329610 | EMSNOT001 | EXPIATION NOTICE | PAYMENT ARRANGEMENT | PAYMENT ARRANGEMENT | null | 2026-08-31 | 3:23 | ARR R 20 2 | Exceed speed limit by 10-19 kph | 2026-09-02 | FIXED CAMERA | 802 | South Eastern Fwy, Leawood Gardens | Leawood Gardens | EASTERN DISTRICT | 2003 GOLD TOYOTA CAMRY | OTHER/OVERSEAS | SOUTH AUSTRALIA | 102 | 90 | $484 | $108 | $0 | $592 |
| ENSEV14682526 | ENSNOT001 | EXPIATION NOTICE | ISSUED | ISSUED | null | 2026-08-31 | 8:23 | I770 | EXCEED SPEED LIMIT | 2026-09-01 | MOBILE CAMERA | 06739 | HANSON RD | ELIZABETH DOWNS | NORTHERN DISTRICT | 23 BLACK LAND ROVER STN WAGON | SOUTH AUSTRALIA | SOUTH AUSTRALIA | 58 | 50 | $215 | $108 | $0 | $323 |
The first row as JSON
As it appears in data.json.
GET https://publicdata.au/d/sa-camera-expiation-offences/latest/data.json
{
"event_id": "EMSEV228312",
"notice_revision": "EMSNOT001",
"notice_type": "EXPIATION NOTICE",
"notice_status": "EXPIATED",
"offence_status": "EXPIATED",
"withdrawn_reason": null,
"incident_date": "2026-07-01",
"incident_time": "0:05",
"offence_code": "ARR R 20 1",
"offence_description": "Exceed speed limit by less than 10 kph",
"issue_date": "2026-07-22",
"camera_category": "FIXED CAMERA",
"location_code": "186",
"location_description": "Prospect Rd, Prospect",
"location_suburb": "Prospect",
"district": "WESTERN DISTRICT",
"vehicle_description": "2014 GREY MITSUBISHI ASX",
"licence_state": "SOUTH AUSTRALIA",
"registration_state": "SOUTH AUSTRALIA",
"vehicle_speed": 59,
"speed_limit": 50,
"penalty_amount": "$215",
"victims_of_crime_levy": "$108",
"corporate_fee": "$0",
"offence_total": "$323"
}
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. Each file carries the same provenance header.
By camera_category (2 files)
by/camera_category/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.
- 2026-09-28 45,229 rows25 fieldszipc6c98d272d17
versions.json · changes.json · history.tar.zst (939 KB, every version's Parquet and manifest)
Questions
How do I download Speed and red light camera offences as a CSV file?
Open https://publicdata.au/d/sa-camera-expiation-offences/latest/data.csv. It redirects to the newest dated version, which is https://publicdata.au/d/sa-camera-expiation-offences/v/2026-09-28/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 Speed and red light camera offences in Excel?
Yes. https://publicdata.au/d/sa-camera-expiation-offences/v/2026-09-28/data.xlsx is a workbook with the 45,229 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-camera-expiation-offences/v/2026-09-28/data.csv.gz is the CSV at about a tenth of the size.
How often is Speed and red light camera offences updated?
SAPOL releases it monthly. This site checks the portal every week and adds a dated version when the file changes.
Can I use Speed and red light camera offences 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 Speed and red light camera offences?
No. The publisher is South Australia Police, and its page is https://data.sa.gov.au/data/dataset/expiation-notice-system-data. 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.
How do I get only the rows for one camera category?
Every version has one JSON file per value of camera_category, 2 files in the current version, listed with row counts at https://publicdata.au/d/sa-camera-expiation-offences/v/2026-09-28/by/camera_category/index.json. For example https://publicdata.au/d/sa-camera-expiation-offences/v/2026-09-28/by/camera_category/fixed-camera.json holds the 29,303 rows where camera_category is FIXED CAMERA.
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.
Expiation notices, South Australia Police is 4 tables here, and each takes its version date from its own file.