From Australian Urban Research Infrastructure Network
JSON RDF ISO19115-3 XML

SA1-G48a Non-School Qualification-Field of Study by Occupation by Sex-Census 2016

Created 04/05/2025

Updated 04/05/2025

JSON RDF ISO19115-3 XML

SA1 based data for Non-School Qualification: Field of Study by Occupation by Sex, in General Community Profile (GCP), 2016 Census. Count of employed persons aged 15 years and over with a qualification. Excludes persons with a qualification out of the scope of the Australian Standard Classification of Education (ASCED). G48 is broken up into three sections (G48a-G48c) this section contains 'Males Natural and Physical Sciences Occupation Managers' - 'Females Agriculture Environmental and Related Studies Total'. The data is by SA1 2016 boundaries. Periodicity: 5-Yearly. Note: 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. For more information visit the data source: http://www.abs.gov.au/census.

Files and APIs

Tags

Additional Info

Field Value
Title SA1-G48a Non-School Qualification-Field of Study by Occupation by Sex-Census 2016
Language English
Licence CC-BY-2.5-AU
Landing Page https://devweb.dga.links.com.au/data/dataset/79557a45-9f2f-4c3b-95ec-eecc263324dc
Remote Last Updated 06/03/2025
Contact Point
Government of the Commonwealth of Australia - Australian Bureau of Statistics
test@email.loc
Reference Period 06/03/2025
Geospatial Coverage {"type": "Polygon", "coordinates": [[[96.82, -43.74], [159.11, -43.74], [159.11, -9.14], [96.82, -9.14], [96.82, -43.74]]]}
Data Portal data.gov.au

Data Source

This dataset was originally found on Australian Urban Research Infrastructure Network "SA1-G48a Non-School Qualification-Field of Study by Occupation by Sex-Census 2016". Please visit the source to access the original metadata of the dataset:
https://data.aurin.org.au/dataset/au-govt-abs-census-sa1-g48a-non-scl-qual-field-of-study-by-occup-by-sx-census-2016-sa1-2016

Original dataset
Dataset copies

No duplicate datasets found.