Traffic and camera offences and fines, ACT
liveDaily counts of the traffic and camera offences Access Canberra records in the ACT from 1 July 2021. Each row carries the offence date, the state of the vehicle's registration, whether the client is a person or an organisation, the infringement type, the camera location code, the offence description, the number of infringements and the sum of their penalty amounts.
Also called: ACT speeding fines data, Canberra speed camera fines, ACT red light camera infringements, ACT traffic infringement notices.
Part of Traffic and parking fines in the ACT, 6 tables the publisher releases together: Traffic camera offences and fines, ACT, 2010 to 2021, Parking offences and fines, ACT, Mobile speed camera visits, ACT, Traffic camera locations, ACT, Mobile phone detection camera sites, ACT.
- What is in each row?
- One offence on one day, at one camera location where there is one, for one registration state and client type, with the number of infringements and the sum of their penalties in dollars.
- What do the infringement types mean?
- They are the publisher's codes. TRF_RLC covers red light and fixed speed cameras, TRF_CIN mobile speed cameras, TRF_MDDC mobile phone detection cameras, TRF_DSB and TRF_PSB driver and passenger seatbelt offences, TRF_P2P point to point cameras, TRF_TIN infringements issued by police and other officers, and UNRGSTRD and UNINSRD unregistered and uninsured vehicles. The publisher notes that TRF_TIN rows carry no camera location code.
- How do I map the offences?
- The camera location code matches the location codes in the ACT traffic camera locations and the mobile distraction camera locations tables in this collection. The publisher says some cleaning may be needed for the codes to match.
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 198,579 rows and diff its versions. Every answer names the version and carries Access Canberra's attribution. No key.
Then ask it: What does Traffic and camera offences and fines, ACT 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.
The dashboard above, live. Click to filter, add panels, share a link or embed a frame.
Query APIFilter and count from a URLaggregate?group=offence_description&metric=sum.infringements
Infringements by offence: 401,021 20 Non-school zone exceed speed limit by <= 15km/h, 63,423 300 (1) Driver using mobile device, 30,917 20 School Zone Exceed Speed Limit By <= 15 Km/H, 28,690 20 Non-School Zone Exceed Speed Limit > 15 But <= 30 Km/H.
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/act-traffic-camera-offences/latest/ redirects to the newest version.
https://publicdata.au/d/act-traffic-camera-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/act-traffic-camera-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("act-traffic-camera-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("act-traffic-camera-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/act-traffic-camera-offences/v/2026-09-28/data.duckdb' AS act_traffic_camera_offences (READ_ONLY);
SELECT infringement_type, count(*) FROM act_traffic_camera_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/act-traffic-camera-offences/aggregate?group=offence_description&metric=sum.infringements");
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. Cells were typed and headers were made snake_case. The publisher's header is kept beside every field in schema.json. Rows were left alone.
| Field | Type | Publisher's header | Note |
|---|---|---|---|
| offence_date | date | Offence Date | |
| registration_state | string | Registration State | |
| client_type | string | Client Type | PRSN for a person and ORGN for an organisation, as the publisher codes it. |
| infringement_type | string | Infringement Type | |
| camera_location | string | Camera Location | |
| offence_description | string | Offence Description | |
| penalty_amount | number | Sum of Penalty Amount | |
| infringements | integer | Infringement Count |
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 date, each infringement type in turn, then in the publisher's order, with every field. A blank cell is shown as null.
| offence_date | registration_state | client_type | infringement_type | camera_location | offence_description | penalty_amount | infringements |
|---|---|---|---|---|---|---|---|
| 2026-09-25 | VIC | PRSN | TRF_RLC | 1006 | 59 (1) Enter Intersection or Marked Foot Crossing When Traffic Light Red | 619 | 1 |
| 2026-09-24 | ACT | ORGN | TRF_CIN | 4008 | 20 Non-school zone exceed speed limit by <= 15km/h | 1730 | 1 |
| 2026-09-24 | ACT | PRSN | TRF_TIN | null | 20 Non-school zone exceed speed limit by <= 15km/h | 394 | 1 |
| 2026-09-24 | ACT | PRSN | UNRGSTRD | 1004 | 18 (1) Use Unregistered/Suspended Vehicle | 750 | 1 |
| 2026-09-23 | QLD | ORGN | TRF_MDDC | 7083 | 300 (1) Driver using mobile device | 2835 | 1 |
| 2026-09-23 | VIC | ORGN | TRF_DSB | 5001 | 264 (1) (c) Driver not wear properly adjusted/fastened seatbelt | 2965 | 1 |
| 2026-09-23 | VIC | PRSN | TRF_PSB | 7083 | 265A (1) Driver not ensure passenger complying with seatbelt or seating position requirements | 641 | 1 |
| 2024-11-06 | ACT | PRSN | UNINSRD | 1008 | 289 (1) Use Uninsured Motor Vehicle on road or road related area | 1009 | 1 |
| 2023-02-01 | ACT | ORGN | TRF_P2P | 2004 | 20 Non-School Zone Exceed Speed Limit > 15 But <= 30 Km/H | 2030 | 1 |
| 2026-09-25 | QLD | PRSN | TRF_RLC | 1006 | 59 (1) Enter Intersection or Marked Foot Crossing When Traffic Light Red | 619 | 1 |
The first row as JSON
As it appears in data.json.
GET https://publicdata.au/d/act-traffic-camera-offences/latest/data.json
{
"offence_date": "2024-03-06",
"registration_state": "ACT",
"client_type": "PRSN",
"infringement_type": "TRF_RLC",
"camera_location": "1026N",
"offence_description": "20 Non-school zone exceed speed limit by <= 15km/h",
"penalty_amount": 316.0,
"infringements": 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.
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 infringement_type (9 files)
by/infringement_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.
- 2026-09-28 198,579 rows8 fieldsutf-8-sigeffbcb6d7e0e
versions.json · changes.json · history.tar.zst (511 KB, every version's Parquet and manifest)
Questions
How do I download Traffic and camera offences and fines as a CSV file?
Open https://publicdata.au/d/act-traffic-camera-offences/latest/data.csv. It redirects to the newest dated version, which is https://publicdata.au/d/act-traffic-camera-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 Traffic and camera offences and fines in Excel?
Yes. https://publicdata.au/d/act-traffic-camera-offences/v/2026-09-28/data.xlsx is a workbook with the 198,579 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/act-traffic-camera-offences/v/2026-09-28/data.csv.gz is the CSV at about a tenth of the size.
What years does Traffic and camera offences and fines cover?
The current version covers 2021 to 2025. Each release from Access Canberra becomes a new dated version here, and earlier versions stay online.
How often is Traffic and camera offences and fines updated?
Access Canberra releases it weekly. This site checks the portal every week and adds a dated version when the file changes.
Can I use Traffic and camera offences and fines 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 Traffic and camera offences and fines?
No. The publisher is Access Canberra, City and Environment Directorate, and its page is https://www.data.act.gov.au/d/vr9h-djj8. 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 infringement type?
Every version has one JSON file per value of infringement_type, 9 files in the current version, listed with row counts at https://publicdata.au/d/act-traffic-camera-offences/v/2026-09-28/by/infringement_type/index.json. For example https://publicdata.au/d/act-traffic-camera-offences/v/2026-09-28/by/infringement_type/trf-rlc.json holds the 100,579 rows where infringement_type is TRF_RLC.
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.
Traffic and parking fines in the ACT is 6 tables here, and each takes its version date from its own file.