Tidy dataset

Deaths by month of occurrence, 2015-24 — Table 4.3

A tidy Provisional Mortality Statistics table with 1,380 rows. It reports recorded values by month, year and cause.

Status
approved
Publisher
Australian Bureau of Statistics
Release
jan-aug-2025
License
CC-BY-4.0

View the recorded source

Data preview

Showing the first 30 of 1,380 rows
10447January2015no.All doctor certified deaths
9603February2015no.All doctor certified deaths
10728March2015no.All doctor certified deaths
10825April2015no.All doctor certified deaths
11888May2015no.All doctor certified deaths
11789June2015no.All doctor certified deaths
12974July2015no.All doctor certified deaths
13484August2015no.All doctor certified deaths
12508September2015no.All doctor certified deaths
11657October2015no.All doctor certified deaths
10632November2015no.All doctor certified deaths
10853December2015no.All doctor certified deaths
10861January2016no.All doctor certified deaths
10010February2016no.All doctor certified deaths
10833March2016no.All doctor certified deaths
10907April2016no.All doctor certified deaths
11616May2016no.All doctor certified deaths
12067June2016no.All doctor certified deaths
12913July2016no.All doctor certified deaths
13302August2016no.All doctor certified deaths
12376September2016no.All doctor certified deaths
12303October2016no.All doctor certified deaths
11398November2016no.All doctor certified deaths
11094December2016no.All doctor certified deaths
10988January2017no.All doctor certified deaths
10062February2017no.All doctor certified deaths
11175March2017no.All doctor certified deaths
11217April2017no.All doctor certified deaths
12016May2017no.All doctor certified deaths
12249June2017no.All doctor certified deaths

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/provisional-mortality-statistics/jan-aug-2025/table-4-3/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
month string time Yes
month_source string attribute No
year number time Yes
year_source string attribute No
unit string attribute No
unit_source string attribute No
cause string dimension No
cause_source string attribute No

How it was tidied

Quality checks

CheckStatusDetail
recipe-validation pass
execution-warnings warn UNUSED_HEADER: 11
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:aeebbe561c15121d65fc4819e78e3d0d1d9cef877ea6c988a21d5a1f876ba041

Source: https://github.com/ianmoran11/tidycell/commit/bae39c514e173be8a5b7f80ccc0fc5f3a3b54402#tidycell-path=abs-spreadsheets%2Fhealth%2Fcauses-death%2Fprovisional-mortality-statistics%2Fjan-aug-2025%2FDeaths%20by%20month%20of%20occurrence-%202015-24.xlsx

Other approved releases