To project Finland’s population, we pulled data from Statistics Finland. 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 Finland’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.

Finland’s metropolitan areas are based on the country’s NUTS3 regions. The Nomenclature of Territorial Units for Statistics (NUTS) geographical division is constructed by Eurostat.

Finland’s regional and national occupational figures were aggregated from the country’s annual Labor Force Survey. Finland uses a variation of the International Standard Classification of Occupations (ISCO-08) with minor differences highlighted on their statistics website.

When creating the occupation 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 Finnish metropolitan area. Once we had the projections, we mapped their occupation classification to the International Standard Classification of Occupations (ISCO-08) to Global Occupations.