National Drug Strategy Household Survey - Respondent Microdata

One row per survey respondent in a National Drug Strategy Household Survey public-use extract, with respondent weights and coded responses about alcohol, tobacco, illicit drug use, remoteness, sex, and age group. The published table contains 23,749 weighted records. Many survey response fields are coded values rather than human-readable labels, so users should pair analysis with the source data dictionary.

aihw-5c536ecc-316a-4206-9984-bd1b3b8982b9·20 columns·238 KB·Creative Commons Attribution 4.0 International (CC BY 4.0)·updated 2mo ago
AIHW

Source: AIHW · connector code

Schema

weightdouble
sexstring
a1string
a2string
a3string
a4_01string
a4_02string
a4_08string
b1string
tobsumstring
alcsumstring
age_group_14_60plusstring
average_g1double
g2_weekstring
g2_monthstring
g2_yearstring
marijuanastring
any_illicitstring
remotenessstring
age_12_65string

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-5c536ecc-316a-4206-9984-bd1b3b8982b9\" 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.