Mortality Over Regions and Time - Leading Causes by Area

Name: Mortality Over Regions and Time - Leading Causes by Area
Creator: AIHW
License: Creative Commons Attribution 4.0 International (CC BY 4.0)

One row per geographic area, sex, and cause-of-death grouping for the 2019-2023 MORT extract. The table covers 856 Australian geographies across local government areas, statistical areas, primary health networks, remoteness areas, socioeconomic groups, states, and territories, with death counts, rank, percentages, crude rates, age-standardised rates, and rate ratios. The period is a fixed five-year extract, and age-standardised measures are not populated for every row.

aihw-3b7d81af-943f-447d-9d64-9ce220be35e7·12 columns·486 KB·Creative Commons Attribution 4.0 International (CC BY 4.0)·updated 2mo ago

Source: AIHW · connector code

Schema

mort_code	string
category	string
geography	string
period	string
sex	string
rank	int64
cause_of_death	string
deaths	int64
deaths_percent	double
crude_rate_per_100000	double
age_standardised_rate_per_100000	double
rate_ratio	double

Get this dataset on your machine

subsets sync --bundle medium clones the mid-size tiers as queryable local tables — use --bundle large for the widest tier

pip install subsetsio
subsets sync --bundle small   # or medium, or large
subsets serve   # search + SQL at http://localhost:8080

Free and open — the data syncs straight from the public bucket, and search + SQL run entirely on your machine. See docs →

Query it locally

Full docs →

Bash

subsets serve   # local API on http://localhost:8080
curl -s -X POST "http://localhost:8080/query" \
  -H "Content-Type: application/json" \
  -d '{"sql": "SELECT * FROM \"aihw-3b7d81af-943f-447d-9d64-9ce220be35e7\" LIMIT 5"}'

No account, no API key — the data syncs straight from bundles.subsets.io and every query runs on your machine. See the local API reference.