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FI-Finland Methodology

Population Data

To project Finland’s population, we pulled data from Statistics Finland. Using historical trends, and assuming current trends continue, we were able to establish a reasonable expectation for predicting future population values.

We used two models for these population projections: the Monte Carlo model and the Autoregressive Integrated Moving Average (ARIMA) model. In each of Finland’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 metropolitan area.

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.

In addition to the LMI data mentioned here, Lightcast also offers insights through Global Worker Profiles in Finland.

Labor Market Information (LMI) Data

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 from the International Standard Classification of Occupations (ISCO-08) to Global Occupations.

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