The objective of this article is to assess the impact of returns on the education and professional skills
of workers on economic growth in EU countries. Based on open data, two principal components were formed to
identify the aggregated influence of selected indicators on GDP growth. These principal components allow for the
evaluation of the degree of influence of education and professional skills of workers on GDP growth for each country.
Countries were clustered according to the degree of influence of the obtained principal components on the level of
economic development using the k-means method. As a result, 20 EU countries were divided into three clusters. The
first cluster consists of developed countries with a high share of innovations. The sec-ond cluster includes developed
countries with a lower share of innovations than the first cluster and moderate values of the return on education. The
third cluster includes countries with a large share of non-innovative sec-tors. Subsequently, a regression model was
constructed to analyse the influence of each component on GDP growth. Based on the comparison of coefficient
values, it was concluded that the increase in the relationship between the level of education and GDP growth in EU countries is observed with the increase in the innovative and technological components of the economy.