Tidy dataset

1. Corrective Services, Australia - December quarter 2025 (Tables 1 to 17) — Table 10

A tidy Corrective Services, Australia table with 216 rows. It reports recorded values by state, legal status and year.

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

View the recorded source

Data preview

Showing the first 30 of 216 rows
1511NSWUnsentenced (Number on first day of month)2023
388Vic.Unsentenced (Number on first day of month)2023
1369QldUnsentenced (Number on first day of month)2023
444SA(b)Unsentenced (Number on first day of month)2023
1205WA(c)Unsentenced (Number on first day of month)2023
76Tas.Unsentenced (Number on first day of month)2023
763NTUnsentenced (Number on first day of month)2023
47ACTUnsentenced (Number on first day of month)2023
5803Aust.Unsentenced (Number on first day of month)2023
1783NSWUnsentenced (Number on first day of month)2024
321Vic.Unsentenced (Number on first day of month)2024
1506QldUnsentenced (Number on first day of month)2024
490SA(b)Unsentenced (Number on first day of month)2024
1522WA(c)Unsentenced (Number on first day of month)2024
85Tas.Unsentenced (Number on first day of month)2024
867NTUnsentenced (Number on first day of month)2024
60ACTUnsentenced (Number on first day of month)2024
6634Aust.Unsentenced (Number on first day of month)2024
1919NSWUnsentenced (Number on first day of month)2025
418Vic.Unsentenced (Number on first day of month)2025
1766QldUnsentenced (Number on first day of month)2025
508SA(b)Unsentenced (Number on first day of month)2025
1712WA(c)Unsentenced (Number on first day of month)2025
104Tas.Unsentenced (Number on first day of month)2025
1150NTUnsentenced (Number on first day of month)2025
60ACTUnsentenced (Number on first day of month)2025
7637Aust.Unsentenced (Number on first day of month)2025
1822NSWUnsentenced (Number on first day of month)2024 Dec Qtr
329Vic.Unsentenced (Number on first day of month)2024 Dec Qtr
1522QldUnsentenced (Number on first day of month)2024 Dec Qtr

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/corrective-services-australia/2025-dec-quarter/table-10/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 string geography Yes
state_source string attribute No
legal_status string dimension No
legal_status_source string attribute No
year number time Yes
year_source string attribute No
quarter string time Yes
quarter_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
1 of 1
Retrieved
2026-07-17T12:29:54.070Z
Availability
unchecked
Workbook checksum
sha256:c5af9a7a7bbe83f43e5d05624b556683b83816666f41e1e9dc4d70c9649234a4

Source: https://github.com/ianmoran11/tidycell/commit/bae39c514e173be8a5b7f80ccc0fc5f3a3b54402#tidycell-path=abs-spreadsheets%2Fpeople%2Fcrime-and-justice%2Fcorrective-services-australia%2Fdec-quarter-2025%2F1.%20Corrective%20Services-%20Australia%20-%20December%20quarter%202025%20-Tables%201%20to%2017-.xlsx

Other approved releases