Tidy dataset

2. Prisoner characteristics, States and territories (Tables 14 to 35) — Table_19

A tidy Prisoners in Australia table with 99 rows. It reports recorded values by state territory and year.

Status
approved
Publisher
Australian Bureau of Statistics
Release
2022
License
CC-BY-4.0

View the recorded source

Data preview

Showing the first 30 of 99 rows
171.1NSW2012
111.6Vic.2012
158.9Qld2012
160.1SA2012
267.1WA2012
124.7Tas.2012
825NT2012
107.3ACT2012
167.4Aust.2012
173.2NSW2013
119.8Vic.2013
169Qld2013
172.8SA2013
255.8WA2013
121.5Tas.2013
821.3NT2013
118.3ACT2013
172.2Aust.2013
181.7NSW2014
134.4Vic.2014
192.9Qld2014
187.9SA2014
264.6WA2014
112Tas.2014
829.4NT2014
130.4ACT2014
185.6Aust.2014
199.9NSW2015
134.4Vic.2015
197.7Qld2015

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/2022/table-19/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 number measure No
state_territory string geography Yes
state_territory_source string attribute No
year number time Yes
year_source string attribute No

How it was tidied

Quality checks

CheckStatusDetail
recipe-validation pass
execution-warnings pass
non-empty-output pass
header-name-uniqueness pass

Generated by seeded ; pipeline version 0.1.0.

Open in Workspace

Coverage and lineage

Release position
4 of 5
Retrieved
2026-07-17T12:29:54.070Z
Availability
unchecked
Workbook checksum
sha256:6df72fa38f0fc5cc2c5c322c0e20655c3685e41281a6cab4f78c59ae44173c9c

Source: https://github.com/ianmoran11/tidycell/commit/bae39c514e173be8a5b7f80ccc0fc5f3a3b54402#tidycell-path=abs-spreadsheets%2Fpeople%2Fcrime-and-justice%2Fprisoners-australia%2F2022%2F2.%20Prisoner%20characteristics-%20States%20and%20territories%20-Tables%2014%20to%2035-.xlsx

Other approved releases