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The occupations used in this project are classified according to the Australian and New Zealand Standard Classification of Occupations (ANZSCO), 2013, Version 1.2 classification system prepared by the Australian Bureau of Statistics.

Scenarios

The final scenarios cover the period 2017 to 2022 and include:

  1. Technological change: increasing labour productivity of all industries in Queensland so that the productivity of each is 0.25 per cent higher than the baseline each year between 2017-18 and 2021-22.
  2. Changing workforce: increasing interstate migration with a decreasing proportion of working aged population (15-64 years).
  3. External impact: halving the price of coal and iron ore.

The modelling results derived under each scenario were compared with a baseline scenario based on 2017 labour market, population and economic data and the Queensland Government’s 2017-18 Budget papers.

Key findings

Employment projections show that occupational growth varies across scenarios and, for some occupations, will exceed the rate of overall employment growth. Employment of Community and Personal Service Workers and Managers is projected to grow at above average rates.

Professionals, already the largest major occupational grouping, are projected to consolidate that position, accounting for more than 20 per cent of all employment in each scenario.

Change in employment by occupation major grou pbetween 2017 and 2022, all scenarios

Data Tool

The Occupation tool consists of one worksheet and a Pivot table for experienced users.

Occupations of employed people are broken down to the Unit Group (i.e. 4-digit codes) of the ANZSCO classification system. Industries of employment are broken down to the Division level (i.e. 1-digit code) of the ANZSIC classification system.

It provides employment numbers for the selected occupation in the selected industry, total State employment for the selected occupation, total employment in selected industry and total employment for Queensland. It also includes projected impacts of each scenario compared with the 2022 baseline for the selected occupation.

OCCUPATION DATA TOOL
(XLSX, 1.88MB)

Last updated 5 November 2018