SA2 OECD Indicators: Employment 2011

Dataset extent

Description

This table contains employment and unemployment rates (number of people who are employed or unemployed divided by the total number of people in the labour force) for the age groups 15 - 25, 25 - 44, 45 - 64 calculated from the 2011 Census for the AURIN Social Indicators project.

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Field Value
Source https://adp.aurin.org.au/geoserver/wfs
Last Updated June 28, 2023, 08:21 (UTC)
Created June 28, 2023, 08:21 (UTC)
ADP ID datasource-UC_NATSEM-UoM_AURIN_DB_UC_NATSEM_OldHub:natsem_tb5_1_census_er_geometry
Access Level Open Access
Aggregation Level sa2
Attribute List , Employed Females 45-64, Employed Males 15-24, Employed Males 25-44, Employed females 15-24, Employed females 25-44, Employed males 45 - 65, Employment rate females 15-24, Employment rate females 25-44, Employment rate females 25-44, Employment rate males 15-24, Employment rate males 25-44, Employment rate males 45-64, Geometry Field, Labour Force Males 15-24, Labour Force Males 25-44, Labour Force Males 45-64, Labour force females 15-24, Labour force females 25-44, Labour force females 45-64, SA2 ID, SA2 Name
Attribution University of Canberra - National Centre for Social and Economic Modelling, (2011): SA2 OECD Indicators: Employment 2011; accessed from AURIN on [date of access].<br><br>When using these data in published research, the authors need to include the following attribution in the text:<br>'These estimates are produced by NATSEM's Spatia Microsimulation model, which is described further in Tanton et al (2011)'<br><br>and the following in the bibliography:<br>Tanton, R., Vidyattama, Y., Nepal, B., & McNamara, J. (2011). Small area estimation using a reweighting algorithm. Journal of the Royal Statistical Society: Series A (Statistics in Society), 174(4), 931-951. DOI: 10.1111/j.1467-985X.2011.00721.x
Coordinate Ref. System EPSG:4283 (GDA_1994)
Copyright Notice © University of Canberra - National Centre for Social and Economic Modelling 2011
Geometry Field geom
Key sa2_main11
Type dataset
spatial {"type": "Polygon", "coordinates": [[[96.82, -43.74], [159.11, -43.74], [159.11, -9.14], [96.82, -9.14], [96.82, -43.74]]]}