PHIDU - Labour Force (LGA) 2016

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Description

This dataset, released December 2017, contains statistics about the labour force relating to Unemployment, June 2016; Labour force participation, June 2016; Female labour force participation, 2016. 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 Small Area Labour Markets - Australia, Department of Employment, June Quarter 2016; and 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available for the specific area ('#', '..', '^', 'np, 'n.a.', 'n.y.a.' in original PHIDU data) was removed.It has been replaced by by Blank cells.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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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_labour_force_lga_2016
Access Level Open Access
Aggregation Level lga2016
Attribute List Female Labour Force Participation 2016 % female labour force participation, Female Labour Force Participation 2016 Females aged 15 years and over, Female Labour Force Participation 2016 Females in labour force, Geometry Field, LGA Code 2016, LGA Name 2016, Labour Force Participation June 2016 % labour force participation, Labour Force Participation June 2016 Labour force, Labour Force Participation June 2016 Population aged 15 years and over, Unemployment June 2016 % unemployed, Unemployment June 2016 Labour force, Unemployment June 2016 Unemployed
Attribution Torrens University Australia - Public Health Information Development Unit, (2018): PHIDU - Labour Force (LGA) 2016; accessed from AURIN on [date of access].
Coordinate Ref. System EPSG:4283 (GDA_1994)
Copyright Notice © Torrens University Australia - Public Health Information Development Unit 2018
Geometry Field wkb_geometry
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]]]}