To calculate Sweden’s population, we pulled data from Statistics Sweden, the country’s central statistics agency. Using historical trends, and assuming the current activity prevails, we were able to establish a reasonable expectation for predicting future population values. We also took a conservative approach to provide low-, mid,- and high-level projections and will continue to refine the data.

We used two models for these population projections: The Monte Carlo and the Autoregression Integrated Moving Average (ARIMA) models. In each of Sweden’s metropolitan 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.

Sweden’s metropolitan areas were hand-curated based on the country’s established municipalities and counties.

Sweden’s regional and national occupational figures were aggregated from Statistics Sweden. The country has its own occupation classification system, SSYK 2012 (Standard för Svensk Yrkesklassificering) which is a variation of the International Standard Classification of Occupations (ISCO-08).

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 Sweden’s municipalities. Once we had the projections, we mapped all the elements of SSYK 2012 to Global Occupations.