Tidy dataset

1. Prisoner characteristics, Australia (Tables 1–14) — Table 1

A tidy Prisoners in Australia table with 576 rows. It reports recorded values by offence category, measure and characteristic group.

Status
approved
Publisher
Australian Bureau of Statistics
Release
2025
License
CC-BY-4.0

View the recorded source

Data preview

Showing the first 30 of 576 rows
334401 Homicide and related offencesNumberTotal prisoners (e)
1366302 Acts intended to cause injuryNumberTotal prisoners (e)
776403 Sexual assault and related offencesNumberTotal prisoners (e)
136804 Dangerous/ negligent actsNumberTotal prisoners (e)
77305 Abduction/ harassment NumberTotal prisoners (e)
254106 Robbery/ extortionNumberTotal prisoners (e)
369307 Unlawful entry with intentNumberTotal prisoners (e)
160508 TheftNumberTotal prisoners (e)
62309 Fraud/ deceptionNumberTotal prisoners (e)
520910 Illicit drug offencesNumberTotal prisoners (e)
123211 Weapons/ explosives NumberTotal prisoners (e)
77712 Property damage and environmental pollutionNumberTotal prisoners (e)
18813 Public order offencesNumberTotal prisoners (e)
35814 Traffic and vehicle regulatory offencesNumberTotal prisoners (e)
364015 Offences against justiceNumberTotal prisoners (e)
11316 Miscellaneous offencesNumberTotal prisoners (e)
90Post-sentence detention (d)NumberTotal prisoners (e)
46998Total (g)NumberTotal prisoners (e)
304601 Homicide and related offencesNumberSexMales
1245702 Acts intended to cause injuryNumberSexMales
764903 Sexual assault and related offencesNumberSexMales
125704 Dangerous/ negligent actsNumberSexMales
72905 Abduction/ harassment NumberSexMales
229806 Robbery/ extortionNumberSexMales
336907 Unlawful entry with intentNumberSexMales
134608 TheftNumberSexMales
47809 Fraud/ deceptionNumberSexMales
462010 Illicit drug offencesNumberSexMales
113011 Weapons/ explosives NumberSexMales
68712 Property damage and environmental pollutionNumberSexMales

Get the data

Open in Query with this immutable dataset version and a starter SQL query.

Copy-paste a stable URL

import pandas as pd

df = pd.read_csv("https://data.tidybank.net/data/abs/prisoners-in-australia/2025/table-1/tidy.csv")

Schema and semantics

Column Type Unit Semantic role Join key Distinct / range
row number attribute No
col number attribute No
address string attribute No
.value string measure No
offence_category string dimension No
offence_category_source string attribute No
measure string dimension No
measure_source string attribute No
characteristic_group string dimension No
characteristic_group_source string attribute No
characteristic string dimension No
characteristic_source string attribute No

How it was tidied

Quality checks

CheckStatusDetail
recipe-validation pass
execution-warnings warn AMBIGUOUS_HEADER: 198
non-empty-output pass
header-name-uniqueness pass

Generated by seeded ; pipeline version 0.1.0.

Open in Workspace

Coverage and lineage

Release position
1 of 5
Retrieved
2026-07-17T12:29:54.070Z
Availability
unchecked
Workbook checksum
sha256:28af3897513142d7080f02a0cee4a21d763f1b633aaf8e0cee9e53561f0a317c

Source: https://github.com/ianmoran11/tidycell/commit/bae39c514e173be8a5b7f80ccc0fc5f3a3b54402#tidycell-path=abs-spreadsheets%2Fpeople%2Fcrime-and-justice%2Fprisoners-australia%2Flatest-release%2F1.%20Prisoner%20characteristics-%20Australia%20-Tables%201-14-.xlsx

Other approved releases