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 offencesNumber—Total prisoners (e)
1366302 Acts intended to cause injuryNumber—Total prisoners (e)
776403 Sexual assault and related offencesNumber—Total prisoners (e)
136804 Dangerous/ negligent actsNumber—Total prisoners (e)
77305 Abduction/ harassment Number—Total prisoners (e)
254106 Robbery/ extortionNumber—Total prisoners (e)
369307 Unlawful entry with intentNumber—Total prisoners (e)
160508 TheftNumber—Total prisoners (e)
62309 Fraud/ deceptionNumber—Total prisoners (e)
520910 Illicit drug offencesNumber—Total prisoners (e)
123211 Weapons/ explosives Number—Total prisoners (e)
77712 Property damage and environmental pollutionNumber—Total prisoners (e)
18813 Public order offencesNumber—Total prisoners (e)
35814 Traffic and vehicle regulatory offencesNumber—Total prisoners (e)
364015 Offences against justiceNumber—Total prisoners (e)
11316 Miscellaneous offencesNumber—Total prisoners (e)
90Post-sentence detention (d)Number—Total prisoners (e)
46998Total (g)Number—Total 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

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