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PHIDU - Population Projections Females (LGA) 2020-2030

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Description

This dataset, released February 2020, contains the female Population projections for years 2020, 2025 and 2030, by 5-year age groups: 0-14, 15-24, 25-44, 45-64, 65+, 70+, 75+, 85+ years.

The data is by Local Government Area (LGA) 2016 geographic boundaries.

For more information please see the data source notes on the data.

Source: These data are based on customised projections prepared for the Australian Government Department of Health by the Australian Bureau of Statistics and originally published by the Australian Institute of Health and Welfare. PHA data were compiled by PHIDU based on these customised projections for 2020, 2025, and 2030..

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available for the specific area ('#', '..', '^', 'np, 'n.a.', 'n.y.a.' in original PHIDU data) was removed.It has been replaced by by Blank cells.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
Source https://adp.aurin.org.au/geoserver/wfs
Last Updated June 28, 2023, 07:33 (UTC)
Created June 28, 2023, 07:33 (UTC)
ADP ID datasource-TUA_PHIDU-UoM_AURIN_DB_1:phidu_pop_projections_females_lga_2020_30
Access Level Open Access
Aggregation Level lga2016
Attribute List , Females, 0-14 Years 2020 %, Females, 0-14 Years 2020 Number, Females, 0-14 Years 2020 Total Males , Females, 0-14 Years 2025 %, Females, 0-14 Years 2025 Number, Females, 0-14 Years 2025 Total Males , Females, 0-14 Years 2030 %, Females, 0-14 Years 2030 Number, Females, 0-14 Years 2030 Total Males , Females, 15-24 Years 2020 %, Females, 15-24 Years 2020 Number, Females, 15-24 Years 2020 Total Males , Females, 15-24 Years 2025 %, Females, 15-24 Years 2025 Number, Females, 15-24 Years 2025 Total Males , Females, 15-24 Years 2030 %, Females, 15-24 Years 2030 Number, Females, 15-24 Years 2030 Total Males , Females, 25-44 Years 2020 %, Females, 25-44 Years 2020 Number, Females, 25-44 Years 2020 Total Males , Females, 25-44 Years 2025 %, Females, 25-44 Years 2025 Number, Females, 25-44 Years 2025 Total Males , Females, 25-44 Years 2030 %, Females, 25-44 Years 2030 Number, Females, 25-44 Years 2030 Total Males , Females, 45-64 Years 2020 %, Females, 45-64 Years 2020 Number, Females, 45-64 Years 2020 Total Males , Females, 45-64 Years 2025 %, Females, 45-64 Years 2025 Number, Females, 45-64 Years 2025 Total Males , Females, 45-64 Years 2030 %, Females, 45-64 Years 2030 Number, Females, 45-64 Years 2030 Total Males , Females, 65+ Years 2020 %, Females, 65+ Years 2020 Number, Females, 65+ Years 2020 Total Males , Females, 65+ Years 2025 %, Females, 65+ Years 2025 Number, Females, 65+ Years 2025 Total Males , Females, 65+ Years 2030 %, Females, 65+ Years 2030 Number, Females, 65+ Years 2030 Total Males , Females, 70+ Years 2020 %, Females, 70+ Years 2020 Number, Females, 70+ Years 2020 Total Males , Females, 70+ Years 2025 %, Females, 70+ Years 2025 Number, Females, 70+ Years 2025 Total Males , Females, 70+ Years 2030 %, Females, 70+ Years 2030 Number, Females, 70+ Years 2030 Total Males , Females, 80+ Years 2020 %, Females, 80+ Years 2020 Number, Females, 80+ Years 2020 Total Males , Females, 80+ Years 2025 %, Females, 80+ Years 2025 Number, Females, 80+ Years 2025 Total Males , Females, 80+ Years 2030 %, Females, 80+ Years 2030 Number, Females, 80+ Years 2030 Total Males , Females, 85+ Years 2020 %, Females, 85+ Years 2020 Number, Females, 85+ Years 2020 Total Males , Females, 85+ Years 2025 %, Females, 85+ Years 2025 Number, Females, 85+ Years 2025 Total Males , Females, 85+ Years 2030 %, Females, 85+ Years 2030 Number, Females, 85+ Years 2030 Total Males , LGA Code 2016, LGA Name 2016
Attribution Torrens University Australia - Public Health Information Development Unit, (2021): PHIDU - Population Projections Females (LGA) 2020-2030; accessed from AURIN on [date of access].
Coordinate Ref. System EPSG:4283 (GDA_1994)
Copyright Notice © Torrens University Australia - Public Health Information Development Unit 2021
Geometry Field geom
Key lga_code
Type dataset
spatial {"type": "Polygon", "coordinates": [[[96.81, -43.75], [159.11, -43.75], [159.11, -9.14], [96.81, -9.14], [96.81, -43.75]]]}