6291.0.55.001 - Labour Force, Australia, Detailed - Electronic Delivery, Quarterly, Jan 2006
ARCHIVED ISSUE Released at 11:30 AM (CANBERRA TIME) 15/12/2005
File Contents
uq1_may01.srd contains data for every 3 months (Feb, May, Aug, Nov) from May 2001.
uq1_apr86.srd contains monthly data from April 1986 to March 2001. Estimates in datacube uq1_may01.srd (collected from May 2001 onwards) are not strictly comparable with those in datacube uq1_apr86.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 reason for unemployment is only collected every three months (Feb, May, Aug, Nov); and
2. From May 2001 onwards reason for unemployment refers to last job, while prior to that reason for unemployment referred to last full-time job.
Classifications
| Sex | Male, Female |
| Geographical Area | State |
| Reason for unemployment | Job loser, Job leaver, Former worker, Never worked (uq1_apr86 contains data on Stood Down to August 97 Refers to last job from May 2001 (uq1_apr86 refers to last full-time job only up to March 2001) |
| Month | Every 3 months (Feb, May, Aug, Nov) from May 2001 onwards. |
| 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). |
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
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