Population Data
To project Hungary’s population, we pulled data from the Hungarian Central 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 Hungary’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.
Hungary’s metropolitan areas are based on the country’s NUTS3 counties. 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 Hungary.
Labor Market Information (LMI) Data
We pulled Hungary’s labor market information (LMI) from three 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 Hungary’s 2011 population Census.
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 Hungary’s NUTS regions. Once we had the projections, we mapped International Standard Classification of Occupations (ISCO-08) to Global Occupations.