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PHIDU - Age Distribution - Broad Age Groups: Persons (PHN) 2019

Created 04/05/2025

Updated 04/05/2025

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This dataset, released September 2020, contains usual resident population by broad age groups: 0-14, 15-24, 25-44, 45-64, 65+, 70+, 75+, 85+ years, 2019. The data is by Primary Health Network (PHN) 2017 geographic boundaries based on the 2016 Australian Statistical Geography Standard (ASGS). There are 31 PHNs set up by the Australian Government. Each network is controlled by a board of medical professionals and advised by a clinical council and community advisory committee. The boundaries of the PHNs closely align with the Local Hospital Networks where possible. For more information please see the data source notes on the data. Source: Compiled by PHIDU based on ABS 3235.0 Population by Age and Sex, Regions of Australia, 30 June 2019. 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available for the specific area ('#', '..', '^', 'np, 'n.a.', 'n.y.a.' in original PHIDU data) was removed.It has been replaced by by Blank cells.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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Field Value
Title PHIDU - Age Distribution - Broad Age Groups: Persons (PHN) 2019
Language English
Licence CC-BY-NC-SA-3.0-AU
Landing Page https://devweb.dga.links.com.au/data/dataset/ce33d251-86f3-4aba-a75e-f2d9e46c6933
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 - Age Distribution - Broad Age Groups: Persons (PHN) 2019". Please visit the source to access the original metadata of the dataset:
https://data.aurin.org.au/dataset/tua-phidu-phidu-age-distribution-persons-broad-phn-2019-phn2017

Original dataset
Dataset copies

No duplicate datasets found.