File Contents
E15_aug06.srd contains data from August 2006 onwards. Estimates of employment by industry were coded according to the Australian and New Zealand Standard Industrial Classification (ANZSIC) 2006.

Classifications

Sex	Male, Female
Geographical Area	State
Industry	Industry Group (ANZSIC 2006 3-digit)
Status in Employment	Employee, Employer, Own Account Worker, Contributing Family Worker
Month	Every three months (Feb, May, Aug, Nov) from August 2006 onwards
Labour Force Status	Employed Full Time, Employed Part Time, Aggregate Hours Worked (Employed Full-Time), Aggregate Hours Worked (Employed Part-Time)

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





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