Population figures for Germany were obtained from Germany’s Governmental Statistics Portal. Using historical trends, and assuming the current activity prevails, we were able to establish a reasonable expectation for predicting future population values.

Our population projections are based on two projection models: The Monte Carlo simulation model and the Autoregression Integrated Moving Average (ARIMA) models. In each of Germany’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.

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

Germany’s regional and national occupational figures were aggregated from data from the Federal Employment Agency published on the German Office of Employment Statistics website. A combination of LMI at the NUTS1 (state) and NUTS3(district) levels was used to create a detailed representation of the German labor market.

Note that the country has its own occupation classification system, Klassification der Berufe (KldB 2010).

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 Germany’s districts. Once we had the projections, we mapped all the elements of KldB-10 to Global Occupations.