6202.0 - Labour Force, Australia, Aug 2016 Quality Declaration
ARCHIVED ISSUE Released at 11:30 AM (CANBERRA TIME) 15/09/2016
|Page tools: Print Page Print All|
AUGUST KEY POINTS
TREND ESTIMATES (MONTHLY CHANGE)
SEASONALLY ADJUSTED ESTIMATES (MONTHLY CHANGE)
LABOUR UNDERUTILISATION (QUARTERLY CHANGE)
The ABS conducted the 2016 Census in respect of 9 August 2016. To assist in undertaking the 2016 Census, the ABS employed around 38,000 people, including around 27,000 field officers for August and September 2016, and a further 11,000 people in other temporary roles to support special enumeration strategies, and to assist with the management of the Census. Of the latter 11,000 roles, these involved a range of different roles, with different lengths of employment and start dates.
While some people employed for the Census were not employed in the previous month, most were already employed in another job. The employment estimates for August 2016 will therefore not reflect a large contribution to employment from the Census, but will reflect a contribution in the number of hours worked. Some of the people employed for the Census may also change from being part-time to full-time over August and September, as a result of working additional hours.
WHAT' S NEW IN THE LABOUR FORCE
For details regarding the quarterly population rebenchmarking, the upcoming release of the new education outputs in the August 2016 release of Labour Force, Australia, Detailed, Quarterly (cat. no. 6291.0.55.003), and the addition of pivot table outputs in the August 2016 release of Labour Force, Australia, Detailed (cat. no. 6291.0.55.001), please refer to the "What's New in the Labour Force" on page 9.
Estimates of changes shown on the front cover and used in the commentary have been caluclated using unrounded estimates, and may be different from, but are more accurate than, movement obtained from the rounded estimates. The graphs on the front cover also depict unrounded estimates.
The estimates in this publication are based on a sample survey. Published estimates and movements are subject to sampling variability. Standard errors give a measure of sampling variability. The interval bounded by two standard errors is the 95% confidence interval, which provides a way of looking at the variability inherent in estimates. There is a 95% chance that the true value of the estimate lies within that interval.
For further information about these and related statistics, email <firstname.lastname@example.org> or contact the National Information and Referral Service on 1300 135 070.
These documents will be presented in a new window.