Labour Account Australia, Annual Unbalanced: Total All Industries

One row is an SDMX observation for this ABS dataflow, with OBS_VALUE broken down by the table's dimensions. Provides quarterly time series data, consisting of four quadrants: Jobs, Persons, Labour Volume and Labour Payments. Unit of measure: Persons, jobs, hours and dollars. Geographic coverage: Australia/State. Catalogue number: 6150.0.55.003 Profiled coverage: time coverage 1995 to 2022; geographic coverage Australia/State. Current profile has 1,340 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-labour-acct-unbal·12 columns·16 KB·Creative Commons Attribution 4.0 International·updated 2mo ago
Australian Bureau of Statistics

Source: Australian Bureau of Statistics · connector code

Schema

dataflowVARCHAR
asgs_2016VARCHAR
measureVARCHAR
industryVARCHAR
freqVARCHAR
time_periodBIGINT
obs_valueDOUBLE
unit_measureVARCHAR
unit_multBIGINT
obs_statusVARCHAR
obs_commentVARCHAR
decimalsBIGINT

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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-labour-acct-unbal\" 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.