Gender equality is not only human’s moral and juridical right, but it is also a significant indicator for economical progress. Moreover, it is the aim for sustainability. It is very important to use human capital rationally for the global economy outlook. As indicated above, these means maintaining a minimal level of gender inequality on the labor market.
The aim of this article is complex statistical analysis of the gender pay gap and evaluating its influence on Georgian economic status. Statistical grouping, relative and average variables, variation and correlation analysis methods were used in the research process. Also, appropriate aggregates were calculated by the computer statistical program SPSS.
This article discusses mostly quantitative analysis of the gender pay gap. It is important to note, that hourly adjusted gender pay gap, which was 15.9% in 2020, is significantly behind the monthly salary gap (21.4%). Definitely, it is conditioned by the shortage of female working hours. Furthermore, this article pays attention to the fact that females are less included in working force. In 2021, 59.5% of females age 15 or above belong to economically inactive population, whereas the same measure for men is 37.1%. As noted above, these percentage ratios are the result of females being widely involved in household activities, taking care of family members and children.
It was revealed as a result of the research, that in the analyzing period, the average monthly salary rate of growth for females exceeds men, but, nevertheless, the difference between the absolute values of their salaries did not decrease. Furthermore, the variation range of average monthly nominal salary is completely different separately for females and males, and the mentioned indicator is 398 GEL for female and 529 GEL for male.
Through a different correlation analysis, it was established that the elimination of gender equality in wages will increase the employment of women, which, in turn, will have a positive effect on the economic growth rate.

Keywords: Gender inequality, average salary, statistical analysis, range of variation, correlations coefficient.
JEL Codes: D63, J15, J16

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