Projected families, Australia, 2021 to 2046

One row is an SDMX observation for this ABS dataflow, with OBS_VALUE broken down by the table's dimensions. Projected number of households and families in Australia by state and capital city / rest of state for the period 2016 to 2041. Unit of measure: Families, Persons. Geographic coverage: Australia/State/GCCSA/SA4/SA3/SA2. Catalogue number: 3236.0 Profiled coverage: time coverage 2021 to 2046; geographic coverage Australia/State/GCCSA/SA4/SA3/SA2. Current profile has 12,168 rows. Dimension values are ABS SDMX codes; use the source code lists for full labels where a label column is not present.

australian-bureau-of-statistics-abs-family-proj·10 columns·73 KB·Creative Commons Attribution 4.0 International·updated 2mo ago
Australian Bureau of Statistics

Source: Australian Bureau of Statistics · connector code

Schema

dataflowVARCHAR
asgs_2011_state_gccsa_sa4_sa3_sa2VARCHAR
family_typeVARCHAR
proj_seriesBIGINT
frequencyVARCHAR
time_periodBIGINT
obs_valueDOUBLE
unit_measureVARCHAR
obs_statusVARCHAR
obs_commentVARCHAR

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

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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 \"australian-bureau-of-statistics-abs-family-proj\" 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.