6354.0 - Job Vacancies, Australia, Nov 2017  
ARCHIVED ISSUE Released at 11:30 AM (CANBERRA TIME) 10/01/2018   
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NOVEMBER KEY FIGURES

Nov 2017
Aug 2017 to Nov 2017
Nov 2016 to Nov 2017
'000
% change
% change

Trend Estimates
Private sector
191.8
4.6
17.7
Public sector
19.0
-0.7
8.1
Private and public sectors
210.8
4.1
16.8


Graph Image for Job Vacancies, Total and Private sector- Trend


NOVEMBER KEY POINTS


TREND ESTIMATES
  • Total job vacancies in November 2017 were 210,800, an increase of 4.1% from August 2017.
  • The number of job vacancies in the private sector was 191,800 in November 2017, an increase of 4.6% from August 2017.
  • The number of job vacancies in the public sector was 19,000 in November 2017, a decrease of -0.7% from August 2017.


NOTES

FORTHCOMING ISSUES

ISSUE (QUARTER) Release Date
February 2018 29 March 2018
May 2018 28 June 2018



TREATMENT OF SURVEY OUTLIERS

Surprise outliering has previously been used as the sole methodology to identify and reduce the impact of a business whose weighted survey response is an outlier (i.e. significantly different to businesses in a group with similar characteristics, based on employment size, state and industry). Surprise outliering involves treating the identified outlier as if it were the only extreme unit in the group's population. The outlier is given a weight of one and the weights of the other unit in the group are adjusted upwards accordingly. From the November 2017 issue, winsorisation methodology has been introduced as the primary method to treat outliers in JVS. Winsorisation moderates the impact of an outlier business without the harsh impact of the surprise outliering approach. Surprise outliering will continue to be used for a small number of extreme values that may not be sufficiently moderated by the winsorisation method. There was no significant impact on the estimates from the change in methodology.


ROUNDING

Estimates of percentage change shown in this release have been calculated using unrounded estimates, and may be different from, but are more accurate than, movements obtained from calculating percentage change using the rounded estimates presented in the Tables and the datacubes on the Downloads tab.


INQUIRIES

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