The aim of the article was to identify statistically significant determinants of human capital influencing the condition of the labour market in Poland. The resources of public statistics were used to collect empirical data. The col-lected data was developed using the technique of estimating the structural parameters of the regression function using the classical method of least squares (LSM). Due to the diversity of human capital factors, 4 thematic areas were identi-fied, defined by 11 predictors describing the attributes of human capital. All the variables turned out to be statistically significant and had a positive effect on the improvement of the labour market condition in Poland, measured by the unemployment rate. The practical implication of the study is to obtain information about the significance level of the studied variables. This allows us to conclude which attributes of human capital have the greatest impact on the situation on the labour market. On this basis, it is possible to decide on taking actions aimed at creating human capital through the use of tools intended to reduce unemployment. The study should be considered preliminary due to limitations only 4 areas – Science, Information Society, Innovation and Technology in 2011–2020 were analyzed. Conclusions may con-tribute to further in-depth research.

DOI: https://doi.org/10.3846/bm.2022.822