Population figures for The Philippines were obtained from statistical yearbooks published on The Philippine Statistics Authority, the country’s official statistics website. Using historic trends, and assuming the current activity prevails, we were able to establish a reasonable expectation for The Philippines population data.

We used two models for these population projections: The Monte Carlo and the Autoregression Integrated Moving Average (ARIMA) models. In each of The Philippines 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.

The Philippines’ metropolitan areas are based on the country’s administrative 17 regions found here.

The Philippines ‘ regional and national occupational and industry figures were aggregated from the country Labor Force Survey (LFS) published on The Philippine Statistics Authority website. This source gave us a 2-digit overview of the labor market, but we needed 4-digit in order to make accurate projections. In order to do so, we applied a European staffing pattern that allowed us to develop the Philippines from a 2-digit to a 4-digit level the most accurately. Using a European staffing pattern to develop the Philippines also gave us labor values in an International Standard Classification of Occupations (ISCO-08) format.

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 The Philippines regions. Once we had the projections, we mapped all the elements of International Standard Classification of Occupations (ISCO-08) to Global Occupations.