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

ABS Census - U25 Annual Individual Income By Age By Sex (SLA) 1991

Created 04/05/2025

Updated 04/05/2025

JSON RDF ISO19115-3 XML

The 1991 Census Usual Residents Community Profiles present 25 tables containing summary characteristics of usual residents for Statistical Local Areas (SLA) in Australia. This table contains data relating to annual individual income by age and sex. Counts are of persons aged 15 years or more, based on their usual place of residence; excludes Australians overseas; and excludes adjustment for under-enumeration. The data is by SLA 1991 boundaries. Periodicity: 5-Yearly. This data is ABS data (cat. no. 2101.0 & original geographic boundary cat. no. 1261.0.30.001) used with permission from the Australian Bureau of Statistics. The tabular data was processed and supplied to AURIN by the Australian Data Archives. The cleaned, high resolution 1991 geographic boundaries are available from data.gov.au. For more information please refer to the 1991 Census Dictionary.

Files and APIs

Tags

Additional Info

Field Value
Title ABS Census - U25 Annual Individual Income By Age By Sex (SLA) 1991
Language English
Licence CC-BY-2.5-AU
Landing Page https://devweb.dga.links.com.au/data/dataset/f58fd13a-307b-4878-8c1e-b7793625b763
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 "ABS Census - U25 Annual Individual Income By Age By Sex (SLA) 1991". Please visit the source to access the original metadata of the dataset:
https://data.aurin.org.au/dataset/au-govt-abs-census-u25-yr-individual-inc-by-age-by-sex-p15-yrs-sla-1991-na

Original dataset
Dataset copies

No duplicate datasets found.