Datasets / Vehicle types in road crashes, Queensland / 2026-04-24

Vehicle types in road crashes, Queensland, version 2026-04-24

latest

As at 30 June 2025Rows 3,764Fields 12Fetched 24 September 2026Source SHA-256 b2049cf5fb0d451d…

This version is kept for as long as this site exists, and its URL can be cited. Its files change only for the reasons the terms give, and each change is recorded in its notes. The publisher's file is here as source.csv, byte for byte.

About this version

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.

Files

data.arrow49 KB Arrow: Arrow IPC file (Feather v2), zstd compressed, with the provenance in the schema metadata. Memory-maps in pyarrow, Polars, Arrow JS and R without parsing.
data.csv247 KB CSV: UTF-8 without a byte-order mark, RFC 4180 quoting, one header row using the normalised field names. Opens in Excel, Numbers and Sheets.
data.csv-metadata.json3.7 KB
data.csv.gz32 KB CSV (gzip): The same CSV, gzipped, at about a tenth of the size. curl, pandas, DuckDB and R read it directly.
data.duckdb DuckDB: One DuckDB database with a records table of typed columns, a fields table and a publicdata metadata table. It attaches read-only over HTTPS, so DuckDB, Python and R can query it without downloading it.
data.json1.3 MB JSON: One object with a publicdata header (publisher, licence, attribution, version, source hash), a fields list and a records array of 3,764 objects with typed values. Blank cells are null.
data.ndjson1.3 MB NDJSON: The first line is the provenance header, then one JSON object per line. For streaming and for tools that read line by line.
data.parquet32 KB Parquet: Columnar and typed. The smallest download and the fastest to query. Reads directly in DuckDB, pandas, Polars, Arrow and Spark. The provenance header is in the file metadata.
data.sqlite352 KB SQLite: One database with a records table, a fields table and a publicdata metadata table. Open it with any SQLite client.
data.xlsx172 KB Excel: One workbook with a records sheet of 3,764 typed rows, a fields sheet and a publicdata sheet with the provenance. Dates are real Excel dates. Opens in Excel, Numbers, LibreOffice and Sheets.
manifest.json1.7 KB
schema.json2.0 KB
schema.sql1.3 KB
source.csv209 KB

SHA256SUMS holds the SHA-256 of every file in this version under the name it downloads as. Check what you downloaded with sha256sum -c --ignore-missing SHA256SUMS in the same folder. On a Mac, use shasum -a 256 -c --ignore-missing SHA256SUMS. Each list is signed by the deploy that wrote it: gh attestation verify SHA256SUMS --repo National-Digital/publicdata.au --source-ref refs/heads/main shows it came from this project's main branch.

Smaller files by field: by/crash_year/.

Attribution the licence asks for

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.

Provenance

Fetched from www.data.qld.gov.au on 24 September 2026. The portal listed the licence as Creative Commons Attribution 4.0 at that moment. manifest.json has every detail.

Deaths per year, 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. A sum of the deaths column in this version, worked out in the build.

Change from the version before

First version followed here.

When the publisher releases again, this panel shows rows added, removed and changed by crash_year, crash_police_region, crash_severity, involving_motorcycle_moped, involving_truck, involving_bus, with a link to the diff file.