Population Data
To project Switzerland’s population, we pulled data from Switzerland’s Federal Statistical Office. 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 Estonia’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.
Switzerland’s metropolitan areas are based on the country’s NUTS3 cantons 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 Postings and Global Worker profiles in Switzerland.
Labor Market Information (LMI) Data
We pulled Switzerland’s labor market information (LMI) from four sources:
Cedefop (European Centre for the Development of Vocational Training), an agency of the EU.
The EU Labor Force Survey (LFS), a large household sample survey conducted annually since 1983.
Industry data from Switzerland’s Federal Statistical Office.
Occupation data from Switzerland’s Federal Statistical Office.
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 of Switzerland’s metros. Once we had the projections, we mapped the International Standard Classification of Occupations (ISCO-08) to Global Occupations.