Census 2021, G15 Type of education institution attending (full-time/part-time student status by age) by sex, Main Statistical Areas Level 2 and up (SA2+)
One row is an SDMX observation for this ABS dataflow, with OBS_VALUE broken down by the table's dimensions. Type of education institution attending (full-time/part-time student status by age) by sex data for Main Statistical Areas Level 2 and up (SA2+), 2021 Census, Count of persons attending an education institution. This table is based on place of usual residence. Please note that there are small random adjustments made to all cell values to protect the confidentiality of data. These adjustments may cause the sum of rows or columns to differ by small amounts from table totals. Profiled coverage: time coverage 2021 to 2021. Current profile has 250,404 rows. Dimension values are ABS SDMX codes; use the source code lists for full labels where a label column is not present.
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 subsetsiosubsets sync --bundle small # or medium, or largesubsets serve # search + SQL at http://localhost:8080Free 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 →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-c21-g15-sa2\" 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.