Australian National Accounts - Expenditure on Gross Domestic Product (GDP (E))

One row is an SDMX observation for this ABS dataflow, with OBS_VALUE broken down by the table's dimensions. Quarterly estimates of the Expenditure approach of Gross Domestic Product (GDP (E)), measured in chain volume measures and current prices. Includes household and government expenditure, private and public sector investment, changes in inventories, and exports and imports of goods and services. Catalogue number 5206.0. Profiled coverage: time coverage 1959-Q3 to 2026-Q1. Current profile has 131,178 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-exp·13 columns·411 KB·Creative Commons Attribution 4.0 International·updated 2mo ago
Australian Bureau of Statistics

Source: Australian Bureau of Statistics · connector code

Schema

dataflowVARCHAR
measureVARCHAR
data_itemVARCHAR
sectorVARCHAR
tsestBIGINT
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-exp\" 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.