Australian National Accounts - Production of Gross Domestic Product (GDP (P))

One row is an SDMX observation for this ABS dataflow, with OBS_VALUE broken down by the table's dimensions. Quarterly estimates of the Production approach of measuring Gross Domestic Product (GDP (P)), measured in chain volume measures. Includes estimates of gross value added by industry and subdivision, and taxes less subsidies on products. Catalogue number: 5206.0. Profiled coverage: time coverage 1959-Q3 to 2026-Q1. Current profile has 62,611 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-ana-ind-gva·14 columns·326 KB·Creative Commons Attribution 4.0 International·updated 6d ago
Australian Bureau of Statistics

Source: Australian Bureau of Statistics · connector code

Schema

dataflowVARCHAR
measureVARCHAR
data_itemVARCHAR
sectorVARCHAR
tsestBIGINT
industryVARCHAR
regionVARCHAR
freqVARCHAR
time_periodVARCHAR
obs_valueDOUBLE
unit_measureVARCHAR
unit_multBIGINT
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

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 \"australian-bureau-of-statistics-ana-ind-gva\" 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.