AU-Australia Methodology
Updated over a week ago

Population Data

To project Australia’s population, we pulled data from the Australian Bureau of Statistics. Using historical trends, and assuming the current activity prevails, we were able to establish a reasonable expectation for predicting future population values.

We used two models for these population projections: The Monte Carlo and the Autoregression Integrated Moving Average (ARIMA) models. In each of Australia’s metro areas, we ran multiple configurations of each of the two models to find out which model (and which configuration within that model) was most accurate for that metro.

Australia’s metropolitan areas are based on the country’s Significant Urban Areas (SUA). More information on those areas and their definition can be found here.

In addition to the LMI data mentioned here Lightcast also offers insights through Global Postings and Global Worker profiles in Australia.

Labor Market Information (LMI) Data

Australia’s regional and national occupational figures were aggregated from the country’s Population and Housing Census 2016 found the Australian Bureau of Statistics Website.

Australia has an occupation classification system shared with New Zealand, the Australian and New Zealand Standard Classification of Occupations, ANZSCO-2013.

Finally, to compile supply projections, we took the expected population growth rate from the models mentioned above and applied that same growth rate across the LMI in each of Australian metros areas. Once we had the projections, we mapped all the elements of ANZSCO-2013 to Global Occupations.

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