6291.0.55.001 - Labour Force, Australia, Detailed - Electronic Delivery, Monthly, Feb 2007  
ARCHIVED ISSUE Released at 11:30 AM (CANBERRA TIME) 22/03/2007   
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In the new Labour Force questionnaire introduced in April 2001, whether attending school and year left school is only asked for those aged 15 - 19 years. To ensure comparability, estimates in this datacube for the period April 1986 to March 2001 have been revised. Those previously coded as 20 year of age attending school were changed to 20-24 not attending tertiary education institution full-time. The year left school categories for those 20 year of age have been amalgamated into the "Aged 20 and over" category, which supercedes the "Aged 21 and over" category.
Please note that the estimates prior to April 2001 in this datacube have not been revised to reflect the latest definition of labour force status ie employed & unemployed, so there will be a small break in series in April 2001.

Classifications

SexMale, Female
Age15-19, 20-24
Geographical AreaState
MonthAll months from April 1986
Educational AttendanceAttending School, Attending Tertiary Full Time, Attending Neither School nor Tertiary
Year left schoolSingle years for those aged 15-19
Labour Force StatusEmployed Full Time, Employed Part Time, Unemployed looking for full-time work, Unemployed looking for part-time work, Not in the Labour Force


Standard Errors
Estimates from the Labour Force Survey (LFS) are based on information collected from people in a sample of dwellings, rather than the entire population. Hence the estimates produced may differ from those that would have been produced if the entire population had been included in the survey. The most common measure of the likely difference (or 'sampling error') is the
standard error (SE).New models for calculating standard errors for these estimates were introduced in August 2005 and apply to estimates from the LFS from November 2002 onwards.

The estimates in this data file are from a sample survey and some estimates may be subject to sampling variability too high for most practical purposes. To annotate an item with a relative standard error of 25% or more, in SuperTABLE, right click in the centre of the table, select annotate cells - standard annotations, and select 'Annotate RSE cut-off values'. See the SuperTABLE reference manual for more information (available from Space-Time Research - see link above).

Additional information on how standard errors for LFS estimates are produced is available in the paper
Labour Force Survey Standard Errors, 2005
StandardErrors.xls


Explanatory Information
Explanatory Information about the Labour Force Survey and associated products, including a glossary of terms used and links to related publications, can be found at Explanatory Notes from 6202.0 (cat. no. 6298.0). The attached document (free download) also provides the tables to allow the annotation of historical estimates with a standard error of 25% or more.