LGA15 Females Age Distribution-Broad Age Groups - 2015

Dataset extent

Description

The number of females in broad age groups (0-14, 15-24, 25-44, 45-64, 65+, 70+, 75+, 85+ years) and their proportion of the total female population, 2015 (all entries that were classified as not shown, not published or not applicable were assigned a null value; no data was provided for Maralinga Tjarutja LGA, in South Australia). The data is by LGA 2015 profile (based on the LGA 2011 geographic boundaries). Source: Compiled by PHIDU based on the Australian Bureau of Statistics (ABS) Estimated Resident Population, 30 June 2015. Females aged 0-4 years – count

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Additional Info

See activity stream See groups

Field Value
Source https://adp.aurin.org.au/geoserver/wfs
Last Updated February 27, 2025, 09:57 (UTC)
Created February 27, 2025, 09:57 (UTC)
ADP ID datasource-TUA_PHIDU-UoM_AURIN:tua_phidu_2015_lga_aust_female_age_dist_broad_2015
Access Level Open Access
Aggregation Level lga2011
Attribute List Females aged 0-14 years – count, Females aged 0-14 years – percent, Females aged 15-24 years – count, Females aged 15-24 years – percent, Females aged 25-44 years – count, Females aged 25-44 years – percent, Females aged 45-64 years – count, Females aged 45-64 years – percent, Females aged 65 years and over – count, Females aged 65 years and over – percent, Females aged 70 years and over – count, Females aged 70 years and over – percent, Females aged 75 years and over – count, Females aged 75 years and over – percent, Females aged 85 years and over – count, Females aged 85 years and over – percent, Local Government Area Code, Local Government Area Code, State Name , Total female population – denominator
Attribution Torrens University Australia - Public Health Information Development Unit, (2016): LGA15 Females Age Distribution-Broad Age Groups - 2015 ; accessed from AURIN on [date of access].
Coordinate Ref. System EPSG:4283 (GDA_1994)
Copyright Notice © Torrens University Australia - Public Health Information Development Unit 2017
Geometry Field wkb_geometry
Key lga_code
Type dataset
spatial {"type": "Polygon", "coordinates": [[[112.92, -43.74], [159.11, -43.74], [159.11, -9.14], [112.92, -9.14], [112.92, -43.74]]]}