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Traffic and camera offences and fines, ACT

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Publisher Access Canberra, City and Environment DirectorateUpdated weeklyLicence CC BY 4.0Latest 2026-09-28Rows 198,579Fields 8

Daily 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.

Before you use it
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.
198,579offence days
2022 to 2025years drawn
8fields
9formats
1version
050k100k150k2022: 135,32120222023: 86,34320232024: 107,14520242025: 101,4772025
Infringements per year, 2022 to 2025. Rows where date is at least 2022-01-01 are drawn. 2026 is not drawn because the rows run to 25 September 2026. The figure is a sum of the infringements column from version 2026-09-28, worked out in the build. Nothing else is added.

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.

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
"Latest" redirects to the newest version and will change when the publisher releases again. A dated version never changes.
https://publicdata.au/d/act-traffic-camera-offences/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/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.

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.

FieldTypePublisher's headerNote
offence_datedateOffence Date
registration_statestringRegistration State
client_typestringClient TypePRSN for a person and ORGN for an organisation, as the publisher codes it.
infringement_typestringInfringement Type
camera_locationstringCamera Location
offence_descriptionstringOffence Description
penalty_amountnumberSum of Penalty Amount
infringementsintegerInfringement 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_dateregistration_stateclient_typeinfringement_typecamera_locationoffence_descriptionpenalty_amountinfringements
2026-09-25VICPRSNTRF_RLC100659 (1) Enter Intersection or Marked Foot Crossing When Traffic Light Red6191
2026-09-24ACTORGNTRF_CIN400820 Non-school zone exceed speed limit by <= 15km/h17301
2026-09-24ACTPRSNTRF_TINnull20 Non-school zone exceed speed limit by <= 15km/h3941
2026-09-24ACTPRSNUNRGSTRD100418 (1) Use Unregistered/Suspended Vehicle7501
2026-09-23QLDORGNTRF_MDDC7083300 (1) Driver using mobile device28351
2026-09-23VICORGNTRF_DSB5001264 (1) (c) Driver not wear properly adjusted/fastened seatbelt29651
2026-09-23VICPRSNTRF_PSB7083265A (1) Driver not ensure passenger complying with seatbelt or seating position requirements6411
2024-11-06ACTPRSNUNINSRD1008289 (1) Use Uninsured Motor Vehicle on road or road related area10091
2023-02-01ACTORGNTRF_P2P200420 Non-School Zone Exceed Speed Limit > 15 But <= 30 Km/H20301
2026-09-25QLDPRSNTRF_RLC100659 (1) Enter Intersection or Marked Foot Crossing When Traffic Light Red6191
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.

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.

OperatorWhat it matches
eq.valueEqual to the value.
neq.valueNot equal to the value. A blank cell does not match.
gt.valueGreater than the value.
gte.valueGreater than or equal to the value.
lt.valueLess than the value.
lte.valueLess 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.nullBlank in the source, or suppressed by the publisher.
ParameterWhat it does
selectFields to return, comma-separated. Every field when absent.
orderfield.asc or field.desc, comma-separated. The publisher's row order when absent.
limitRows per page, 1 to 10,000. 100 when absent.
offsetRows to skip. The next URL in each answer sets it for you.
groupOn aggregate, fields to group by, comma-separated.
metricOn aggregate, count, sum.field, avg.field, min.field or max.field, comma-separated. count when absent.
formatjson, 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.