Statistical analysis of the level of economic activity and level of unemployment in Ukraine

Nataliia Mishchuk, Oleksandr Zavada


Introduction. Economically active population causes both direct growth of the gross domestic product of the country and the creation of progressive labour relations. It is the basis for the formation of the middle class. Instead, high unemployment (underutilization of labour potential) is a major economic and social problem for the country. Therefore, the study of factors that affect the level of economic activity of the population and the level of unemployment is an actual scientific task. It is also important to study the economic activity and unemployment of the population of Ukraine in the regional context and a comparative analysis of regions by the size of these indicators.

Purpose. The article aims to obtain analytical dependencies of unemployment rates and economic activity of the population of Ukraine on a number of factors, as well as clusterization of regions of Ukraine according to unemployment rates.

Method (methodology). To achieve the goal, official statistical information on the labour market of Ukraine has been used. The following statistical methods such as correlation analysis, least squares method and hierarchical cluster analysis are used.

Results. The analytical dependence of the level of economic activity and the unemployment rate of Ukrainian population on the duration of studies is constructed. Economic activity, depending on the duration of studies, has been received in the form of a logistic function with saturation of 92%. The unemployment rate is respectively a downline linear function. The educational levels, which are already sufficient to ensure high economic activity of the population, have been identified. A correlation analysis of the interdependence of a number of factors that influence the level of unemployment has been established. It has been performed the clusterization of the regions of Ukraine according to the percentage of unemployment among the economically active population, the unemployment rate for one vacancy and the proportion of the urban population. Five key clusters have been identified. On the basis if use of statistical methods, we have concluded that the most important factor in reducing unemployment is the increase in the economic activity of the population. It is determined that in order to increase the competitiveness of labour force in Ukraine it is necessary to stimulate the population to improve its level of education, in particular, to increase the duration of studies.


unemployment rate; level of economic activity; cluster analysis; least squares method; logistic function; duration of studies

Full Text:



Stefanyshyn, O. V. (2006). Human potential of Ukraine’s economy. Lviv: Publishing center of Ivan Franko National University, p. 315 [in Ukrainian].

Priymak, V., Gynda, O. (2013). Managing the development and realization of human potential in the economy of Ukraine, Lviv: Rastr-7, p. 436 [in Ukrainian].

Nartyuk, O. (2016). Current factors of impact on employment of the economically active population in the labour surplus regions of Ukraine. Scientific Bulletin of Mukachevo State University, 1(5), 239-245. Retrieved from: (access date March 07, 2019) [in Ukrainian].

Тyutyunnikova, S. V. Romanika, T. K. (2016). Unemployment in the conditions of globalization. Social Economics, 2, 61-68. Retrieved from: (access date March 10, 2019) [in Ukrainian].

Fedoryshyna, L. M. (2015). Unemployment in Ukraine: actual problems and ways of decision. Sustainable development of economy, 4, 103-108. Retrieved from: (access date March 11, 2019) [in Ukrainian].

Yarova, L. H. (2015). Analysis of unemployment in Ukraine and ways of its overcoming. Hlobalni ta natsionalni problemy ekonomiky, 4, 752-755. Retrieved from: (access date March 14, 2019) [in Ukrainian].

Economic Activity of Population in Ukraine: Statistical Yearbook (2018). Retrieved from: (access date March 04, 2019) [in Ukrainian].

Law of Ukraine on Education from September 5 2017, № 40-IV. Retrieved from: (access date March 15, 2019) [in Ukrainian].

Rogers, E. M. (2009). Diffusion of innovations. Kyiv: Publ. House “Kyiv-Mohyla Academy”, 591 [in Ukrainian].

Zavada, O. (2018). Factors of the internet usage by the population of Ukraine. Formation of market economy in Ukraine, 39, 73-79 [in Ukrainian].

The population of Ukraine for January 1, 2018: Statistical Yearbook (2018), p. 205. Retrieved from:: [in Ukrainian].

Official site of the State Statistics Service. (2019). Retrieved from [in Ukrainian].

Analysis on the challenges facing labour markets within the Europe 2020 strategy. (2019). Retrieved from:

Richards Brian. Tight labor market has challenges, opportunities. Retrieved from:


Article Metrics

Metrics Loading ...

Metrics powered by PLOS ALM


  • There are currently no refbacks.

Copyright (c)


Articles are distributed under Creative Commons Attribution  International 4.0 (CC-BY-NC 4.0) 

Science Works Journal "Ekonomichnyy analiz"

ISSN 1993-0259 (Print)  ISSN 2219-4649 (Online) DOI: 10.35774/econa

© West Ukrainian National University

© «Ekonomichnyy analiz», 2007-2023