Tidy dataset

1. Corrective Services, Australia - December quarter 2025 (Tables 1 to 17) — Table 12

A tidy Corrective Services, Australia table with 297 rows. It reports recorded values by state, sex 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 297 rows
29210NSWMales (Number on first day of month)2023——
9213Vic.Males (Number on first day of month)2023——
14289QldMales (Number on first day of month)2023——
4308SAMales (Number on first day of month)2023——
4745WA(c)Males (Number on first day of month)2023——
1549Tas.Males (Number on first day of month)2023——
1158NTMales (Number on first day of month)2023——
636ACTMales (Number on first day of month)2023——
65108Aust.Males (Number on first day of month)2023——
29884NSWMales (Number on first day of month)2024——
8426Vic.Males (Number on first day of month)2024——
14169QldMales (Number on first day of month)2024——
4650SAMales (Number on first day of month)2024——
4920WA(c)Males (Number on first day of month)2024——
1589Tas.Males (Number on first day of month)2024——
1307NTMales (Number on first day of month)2024——
708ACTMales (Number on first day of month)2024——
65652Aust.Males (Number on first day of month)2024——
29876NSWMales (Number on first day of month)2025——
7442Vic.Males (Number on first day of month)2025——
14180QldMales (Number on first day of month)2025——
4954SAMales (Number on first day of month)2025——
5485WA(c)Males (Number on first day of month)2025——
1717Tas.Males (Number on first day of month)2025——
1463NTMales (Number on first day of month)2025——
707ACTMales (Number on first day of month)2025——
65825Aust.Males (Number on first day of month)2025——
30408NSWMales (Number on first day of month)2024 Dec Qtr—
8048Vic.Males (Number on first day of month)2024 Dec Qtr—
14446QldMales (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-12/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 —
sex string — dimension No —
sex_source string — attribute No —
year number — time Yes —
year_source string — attribute No —
quarter string — time Yes —
quarter_source string — attribute No —
month string — time Yes —
month_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