From Australian Urban Research Infrastructure Network

PHIDU - Birthplace - Non-English Speaking Residents (LGA) 2016

Created 04/05/2025

Updated 04/05/2025

This dataset, released in August 2017, contains the Australian residents population by their birthplace divided into English speaking (ES) and non-English speaking (NES) countries, 2016. The following countries are designated as ES: Canada, Ireland, New Zealand, South Africa, United Kingdom and the United States of America; the remaining countries are designated as NES. The dataset also includes the population of people born overseas and report poor proficiency in English. The data is by Local Government Area (LGA) 2016 geographic boundaries. For more information please see the data source notes on the data. Source: Compiled by PHIDU based on the ABS Census of Population and Housing, August 2016. AURIN has spatially enabled the original data. Data that was not shown/not applicable/not published/not available for the specific area ('#', '..', '^', 'np, 'n.a.', 'n.y.a.' in original PHIDU data) was removed.It has been replaced by by Blank cells. For other keys and abbreviations refer to PHIDU Keys.

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Additional Info

Field Value
Title PHIDU - Birthplace - Non-English Speaking Residents (LGA) 2016
Language English
Licence CC-BY-NC-SA-3.0-AU
Landing Page https://devweb.dga.links.com.au/data/dataset/df63b9ab-4d87-447d-9851-ffeda0efb259
Remote Last Updated 06/03/2025
Contact Point
Torrens University Australia - Public Health Information Development Unit
test@email.loc
Reference Period 06/03/2025
Geospatial Coverage {"type": "Polygon", "coordinates": [[[96.81, -43.75], [159.11, -43.75], [159.11, -9.14], [96.81, -9.14], [96.81, -43.75]]]}
Data Portal data.gov.au

Data Source

This dataset was originally found on Australian Urban Research Infrastructure Network "PHIDU - Birthplace - Non-English Speaking Residents (LGA) 2016". Please visit the source to access the original metadata of the dataset:
https://data.aurin.org.au/dataset/tua-phidu-phidu-birthplace-nes-residents-lga-2016-lga2016

No duplicate datasets found.