Tidy dataset

1. Corrective Services, Australia - December quarter 2025 (Tables 1 to 17) — Table 13

A tidy Corrective Services, Australia table with 297 rows. It reports recorded values by sex, state 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
916.3Males (Rate per 100,000 adult population)NSW2023
355.2Males (Rate per 100,000 adult population)Vic.2023
696.3Males (Rate per 100,000 adult population)Qld2023
601.2Males (Rate per 100,000 adult population)SA2023
433.6Males (Rate per 100,000 adult population)WA(c)2023
690.2Males (Rate per 100,000 adult population)Tas.2023
1211.2Males (Rate per 100,000 adult population)NT2023
357.7Males (Rate per 100,000 adult population)ACT2023
641.9Males (Rate per 100,000 adult population)Aust.2023
912.4Males (Rate per 100,000 adult population)NSW2024
314.5Males (Rate per 100,000 adult population)Vic.2024
669.7Males (Rate per 100,000 adult population)Qld2024
636.7Males (Rate per 100,000 adult population)SA2024
431.7Males (Rate per 100,000 adult population)WA(c)2024
703.1Males (Rate per 100,000 adult population)Tas.2024
1347.4Males (Rate per 100,000 adult population)NT2024
389.7Males (Rate per 100,000 adult population)ACT2024
628.6Males (Rate per 100,000 adult population)Aust.2024
897.3Males (Rate per 100,000 adult population)NSW2025
273.6Males (Rate per 100,000 adult population)Vic.2025
656Males (Rate per 100,000 adult population)Qld2025
667Males (Rate per 100,000 adult population)SA2025
464.8Males (Rate per 100,000 adult population)WA(c)2025
756.5Males (Rate per 100,000 adult population)Tas.2025
1438.2Males (Rate per 100,000 adult population)NT2025
381.3Males (Rate per 100,000 adult population)ACT2025
618.2Males (Rate per 100,000 adult population)Aust.2025
922.9Males (Rate per 100,000 adult population)NSW2024 Dec Qtr
297.9Males (Rate per 100,000 adult population)Vic.2024 Dec Qtr
676.3Males (Rate per 100,000 adult population)Qld2024 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-13/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
sex string dimension No
sex_source string attribute No
state string geography Yes
state_source string attribute No
year number time Yes
year_source string attribute No
month string time Yes
month_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

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