6291.0.55.003 - Labour Force, Australia, Detailed, Quarterly, Feb 2006

ARCHIVED ISSUE Released at 11:30 AM (CANBERRA TIME) 17/03/2006 First Issue

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NOTE: There have been changes to the processes used to code industry and occupation in the Labour Force Survey. More details are available on this site.

File Contents

uq2_aug94.srd contains monthly data from August 1994 to March 2001.
uq2_may01.srd contains data for every 3 months (Feb, May, Aug, Nov) from May 2001.
Estimates in datacube uq2_may01.srd (collected from May 2001 onwards) are not strictly comparable with those in datacube uq2_aug94.srd (collected up to March 2001).

Data from these two files cannot be combined because:

1. Data up to March 2001 was collected monthly, while from May 2001 industry is only collected every three months (Feb, May, Aug, Nov); and

2. From May 2001 onwards industry refers to last job, while prior to that industry referred to last full-time job.

For further information, see Information Paper: Implementing the Redesigned Labour Force Survey Questionnaire (cat. no. 6295.0).

Classifications

Sex	Male, Female
Geographical Area	State
Industry	Industry Division (1-digit) Refers to last full-time job only up to March 2001 (uq2_may01 refers to last job from May 2001)
Month	All months from August 1994 to March 2001
Labour Force Status	Unemployed looking for full-time work, Unemployed looking for part-time work, Aggregate weeks unemployed (aggregate weeks unemployed since last full-time job up to March 2001).

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 (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.

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