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Driver demographics in road crashes, Queensland

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Publisher Department of Transport and Main RoadsUpdated about twice a yearLicence CC BY 4.0Latest 2026-04-24As at 30 June 2025Rows 22,699Fields 16

Aggregate counts of reported Queensland road crashes from 1 January 2001 by the kinds of driver involved. Each row is one combination of year, police region, crash severity and seven yes or no driver flags, with the number of crashes and casualties. The publisher's Yes and No are typed as booleans. Property damage only crashes stop after 31 December 2010.

Also called: young driver crash statistics Queensland, unlicensed driver crashes Queensland, provisional driver crash data.

Part of Crash data from Queensland roads, 6 tables the publisher releases together: Road crash locations, Queensland, Road casualties, Queensland, Seatbelt and helmet use in road crash casualties, Queensland, Vehicle types in road crashes, Queensland, Factors in road crashes, Queensland.

Before you use it
Can I add the rows to get the total number of crashes?
Within one year, police region and severity, yes. Across the driver flags, no. A crash with a young male provisional driver is counted under each flag that is true, so summing across flags counts it more than once.
22,699rows
2001 to 2024years drawn
16fields
9formats
1version
05k10k15k2001 Fatal: 2962001 Hospitalisation: 4,2262001 Medical treatment: 5,9272001 Minor injury: 3,4182002 Fatal: 2832002 Hospitalisation: 4,4742002 Medical treatment: 5,7292002 Minor injury: 3,3352003 Fatal: 2842003 Hospitalisation: 4,5872003 Medical treatment: 5,4862003 Minor injury: 3,29520032004 Fatal: 2892004 Hospitalisation: 4,9852004 Medical treatment: 5,4652004 Minor injury: 3,2212005 Fatal: 2962005 Hospitalisation: 5,1332005 Medical treatment: 5,4302005 Minor injury: 3,0692006 Fatal: 3132006 Hospitalisation: 4,8532006 Medical treatment: 5,5222006 Minor injury: 3,36020062007 Fatal: 3382007 Hospitalisation: 5,0302007 Medical treatment: 5,5332007 Minor injury: 3,8092008 Fatal: 2942008 Hospitalisation: 5,5272008 Medical treatment: 5,8322008 Minor injury: 3,1172009 Fatal: 2962009 Hospitalisation: 5,4702009 Medical treatment: 5,7742009 Minor injury: 2,47720092010 Fatal: 2362010 Hospitalisation: 5,2532010 Medical treatment: 5,3952010 Minor injury: 2,4662011 Fatal: 2272011 Hospitalisation: 5,2062011 Medical treatment: 5,1142011 Minor injury: 2,1422012 Fatal: 2552012 Hospitalisation: 5,3332012 Medical treatment: 5,4032012 Minor injury: 1,75820122013 Fatal: 2462013 Hospitalisation: 5,6612013 Medical treatment: 5,5102013 Minor injury: 1,3202014 Fatal: 1992014 Hospitalisation: 5,4172014 Medical treatment: 5,5362014 Minor injury: 1,5022015 Fatal: 2202015 Hospitalisation: 5,0582015 Medical treatment: 5,7742015 Minor injury: 1,10720152016 Fatal: 2382016 Hospitalisation: 5,1942016 Medical treatment: 5,7692016 Minor injury: 1,3522017 Fatal: 2272017 Hospitalisation: 5,3082017 Medical treatment: 5,4022017 Minor injury: 1,7982018 Fatal: 2242018 Hospitalisation: 5,5612018 Medical treatment: 5,3212018 Minor injury: 1,85220182019 Fatal: 1992019 Hospitalisation: 5,6572019 Medical treatment: 5,2542019 Minor injury: 1,8552020 Fatal: 2512020 Hospitalisation: 5,6992020 Medical treatment: 4,4622020 Minor injury: 1,7352021 Fatal: 2462021 Hospitalisation: 6,3392021 Medical treatment: 4,8402021 Minor injury: 2,05120212022 Fatal: 2742022 Hospitalisation: 6,1142022 Medical treatment: 4,5052022 Minor injury: 2,1282023 Fatal: 2602023 Hospitalisation: 6,7192023 Medical treatment: 4,5142023 Minor injury: 2,1292024 Fatal: 2732024 Hospitalisation: 7,0512024 Medical treatment: 4,4092024 Minor injury: 2,6252024
FatalHospitalisationMedical treatmentMinor injury
Crashes per year by severity, 2001 to 2024. Rows where severity is not Property damage only are drawn. 2025 is not drawn because the file runs to 30 June 2025. The figure is a sum of the crashes column from version 2026-04-24, 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 16 fields, count and filter across all 22,699 rows and diff its versions. Every answer names the version and carries Transport and Main Roads's attribution. No key.

Then ask it: What does Driver demographics in road crashes, Queensland 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 keeps its content.

Format
"Latest" redirects to the newest version and will change when the publisher releases again. A dated version keeps its content.
https://publicdata.au/d/qld-road-crash-driver-demographics/latest/data.xlsx
Download this file

One workbook with a records sheet of 22,699 typed rows, a fields sheet and a publicdata sheet with the provenance. Dates are real Excel dates. Opens in Excel, Numbers, LibreOffice and Sheets.

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/qld-road-crash-driver-demographics/latest/ redirects to the newest version.

https://publicdata.au/d/qld-road-crash-driver-demographics/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.

FieldTypePublisher's headerNote
crash_yearintegerCrash_Year
crash_police_regionstringCrash_Police_RegionQueensland Police Service region, or Unknown.
crash_severitystringCrash_SeverityFatal, Hospitalisation, Medical treatment, Minor injury or Property damage only.
involving_male_driverbooleanInvolving_Male_Driver
involving_female_driverbooleanInvolving_Female_Driver
involving_young_driver_16_24booleanInvolving_Young_Driver_16-24Driver aged 16 to 24.
involving_senior_driver_60plusbooleanInvolving_Senior_Driver_60plusDriver aged 60 or more.
involving_provisional_driverbooleanInvolving_Provisional_Driver
involving_overseas_licensed_driverbooleanInvolving_Overseas_Licensed_Driver
involving_unlicensed_driverbooleanInvolving_Unlicensed_Driver
count_crashesintegerCount_Crashes
count_casualty_fatalityintegerCount_Casualty_Fatality
count_casualty_hospitalisedintegerCount_Casualty_Hospitalised
count_casualty_medically_treatedintegerCount_Casualty_MedicallyTreated
count_casualty_minor_injuryintegerCount_Casualty_MinorInjury
count_casualty_allintegerCount_Casualty_All

Download this table as a data dictionary (Excel), or read it as a Frictionless Table Schema at schema.json. The key is crash_year, crash_police_region, crash_severity, involving_male_driver, involving_female_driver, involving_young_driver_16_24, involving_senior_driver_60plus, involving_provisional_driver, involving_overseas_licensed_driver, involving_unlicensed_driver.

A sample of 10 rows

From the latest version, newest first by year, then in the publisher's order, with every field. A blank cell is shown as null.

crash_yearcrash_police_regioncrash_severityinvolving_male_driverinvolving_female_driverinvolving_young_driver_16_24involving_senior_driver_60plusinvolving_provisional_driverinvolving_overseas_licensed_driverinvolving_unlicensed_drivercount_crashescount_casualty_fatalitycount_casualty_hospitalisedcount_casualty_medically_treatedcount_casualty_minor_injurycount_casualty_all
2025BrisbaneFatalfalsefalsefalsefalsefalsefalsefalse220002
2025BrisbaneFatalfalsetruefalsefalsefalsefalsefalse220002
2025BrisbaneFatalfalsetruefalsetruefalsefalsefalse110102
2025BrisbaneFataltruefalsefalsefalsefalsefalsefalse8911011
2025BrisbaneFataltruefalsefalsefalsefalsefalsetrue11110012
2025BrisbaneFataltruefalsefalsefalsetruefalsefalse110001
2025BrisbaneFataltruefalsefalsetruefalsefalsefalse220002
2025BrisbaneFataltruefalsetruefalsefalsefalsefalse110001
2025BrisbaneFataltruefalsetruefalsetruefalsefalse110001
2025BrisbaneFataltruetruefalsetruefalsefalsefalse111204
The first row as JSON

As it appears in data.json.

GET https://publicdata.au/d/qld-road-crash-driver-demographics/latest/data.json
{
  "crash_year": 2001,
  "crash_police_region": "Brisbane",
  "crash_severity": "Fatal",
  "involving_male_driver": false,
  "involving_female_driver": false,
  "involving_young_driver_16_24": false,
  "involving_senior_driver_60plus": false,
  "involving_provisional_driver": false,
  "involving_overseas_licensed_driver": false,
  "involving_unlicensed_driver": false,
  "count_crashes": 1,
  "count_casualty_fatality": 1,
  "count_casualty_hospitalised": 0,
  "count_casualty_medically_treated": 0,
  "count_casualty_minor_injury": 0,
  "count_casualty_all": 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 that like and ilike ignore case in the ASCII letters A to Z. 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, ignoring case in the ASCII letters A to Z.
ilike.*text*The same as like. Both ignore case in ASCII letters only, so É and é differ.
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. When absent, rows come in the order of the file they are read from. For the newest versions that is the version's own data.parquet, which keeps the publisher's order unless the dataset sorted it. Any other version is read from the Parquet file the answer names in file, and when that file is sorted the answer names its sort in order, which ties follow too.
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 version, and that answer changes when the publisher releases again. Put versions/<date>/ before rows or aggregate for an answer from that version alone. Every version with a table can be queried, and /api/v1/datasets/<slug>/versions lists them. A query on a version the database does not hold is read from its Parquet file, and one that would read too much of it is refused with DuckDB SQL that answers it from the file. 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. Its row tools and the query API answer every version through one query path, so a tool's answer and the query URL it cites give the same rows. A query that would read too much of a file is refused with DuckDB SQL that answers it from the file. It also has search and fetch, the two tools ChatGPT's deep research and company knowledge call by name, which run search_datasets and read a dataset's record in the shapes those features expect. 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, connect the publicdata.au plugin in ChatGPT, or give it to any client that connects to remote MCP servers. Each dataset with a table 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 crash_year (25 files)

by/crash_year/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. The "as at" date is the publisher's own.

  • 2026-04-24as at 30 June 2025
    22,699 rows16 fieldsutf-8-sig561e293b9dc3

    Files rebuilt on 25 September 2026 so every one carries the operator and a ready-made cite string in its provenance header, and to add the Excel, Arrow, GeoPackage, gzipped CSV, SQL and CSVW files. Rows unchanged.

versions.json · changes.json · history.tar.zst (88 KB, every version's Parquet and manifest)

Questions

How do I download Driver demographics in road crashes as a CSV file?

Open https://publicdata.au/d/qld-road-crash-driver-demographics/latest/data.csv. It redirects to the newest dated version, which is https://publicdata.au/d/qld-road-crash-driver-demographics/v/2026-04-24/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 Driver demographics in road crashes in Excel?

Yes. https://publicdata.au/d/qld-road-crash-driver-demographics/v/2026-04-24/data.xlsx is a workbook with the 22,699 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/qld-road-crash-driver-demographics/v/2026-04-24/data.csv.gz is the CSV at about a tenth of the size.

What years does Driver demographics in road crashes cover?

The current version covers 2001 to 2025, as at 30 June 2025. Each release from Transport and Main Roads becomes a new dated version here, and earlier versions stay online.

How often is Driver demographics in road crashes updated?

Transport and Main Roads releases it about twice a year. This site checks the portal every week and adds a dated version when the file changes.

Can I use Driver demographics in road crashes 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 Driver demographics in road crashes?

No. The publisher is Department of Transport and Main Roads, and its page is https://www.data.qld.gov.au/dataset/crash-data-from-queensland-roads. National Digital converted the publisher's file to other formats. It renamed and typed the columns and kept only those the schema lists. National Digital made these changes, and the publisher is not responsible for them. 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 crash year?

Every version has one JSON file per value of crash_year, 25 files in the current version, listed with row counts at https://publicdata.au/d/qld-road-crash-driver-demographics/v/2026-04-24/by/crash_year/index.json. For example https://publicdata.au/d/qld-road-crash-driver-demographics/v/2026-04-24/by/crash_year/2005.json holds the 1,239 rows where crash_year is 2005.

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.

The publisher releases Crash data from Queensland roads as 6 files at once, so all 6 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.

Department of Transport and Main Roads, Queensland Government, Crash data from Queensland roads, sourced 24 September 2026, https://www.data.qld.gov.au/dataset/crash-data-from-queensland-roads, licensed under CC BY 4.0. Serialised and versioned by National Digital at publicdata.au, https://publicdata.au/d/qld-road-crash-driver-demographics/v/2026-04-24/

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 of Transport and Main Roads states the licence, CC BY 4.0, on its own page, which was read and recorded here on 25 September 2026.

Every fetch reads the licence again and stops when it has changed. The fetch that made version 2026-04-24 read it on 24 September 2026.

Also published on
  • Hugging Faceload_dataset("National-Digital/qld-road-crash-driver-demographics")
  • Kagglewith a starter notebook
  • ZenodoDOI 10.5281/zenodo.23076545

Each copy carries the same attribution and links back to this page.

For agents and tools

This page carries a schema.org Dataset record and is listed in /.well-known/ard.json and /catalog.json.

Source

Department of Transport and Main Roads publishes this table on www.data.qld.gov.au. Questions about the content go to the publisher. Questions about the files here go to corrections.

Fetched 24 September 2026. Source SHA-256 561e293b9dc34a52…

Improve this dataset

This page is built from register/qld-road-crash-driver-demographics.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