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The industries used in this project are classified according to the Australian and New Zealand Standard Industrial Classification (ANZSIC), 2006 (Revision 2.0) 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

The anticipated economic effects of each of the scenarios in this project affect individual industries, and their employment, differently. Despite this, there are some common employment trends regardless of the scenario. For example, over 50 per cent of all new workers are projected to be employed in just three industries – Health Care and Social Assistance; Professional, Scientific and Technical Services; and Education and Training. These three industries are also projected to experience above average employment growth under each scenario, as are a number of other industries (see below).

Data Tool

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

Industries are broken down to the Group (i.e. 3-digit codes) of the ANZSIC classification system. Occupations of employment are broken down to the Sub-Major Group level (i.e. 2-digit code) of the ANZSCO classification system.

It provides employment numbers for the selected occupation in the selected industry, total state employment for the selected occupation and industry, 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 industry.

INDUSTRY DATA TOOL
(XLSX, 2.16MB)

Last updated 5 November 2018