This study’s relevance lies in the need to assess the role of socioeconomic, medical, and demographic factors on working-age population mortality in Russia. The purpose of this study is to substantiate the methodological tools for the assessment of the partial contribution of the most important factors that determine the dynamics of the mortality of the working-age population. Our hypothesis is that the factors determining the socioeconomic situation in the country affect the level and dynamics of mortality of the working-age population, but to a different extent in each separate period. To analyse the impact of the factors, we used official Rosstat data for the period from 2005 to 2021. We used the data that reflect the dynamics of socioeconomic and demographic indicators, including the dynamics of mortality of the working-age population in Russia as a whole and in its 85 regions. First, we selected 52 indicators of socioeconomic development and then grouped them into four factor blocks (working conditions, health care, life security, living standards). To reduce the level of statistical noise, we carried out a correlation analysis, which allowed us to narrow down the list to 15 key indicators with the strongest association with the mortality rate of the working-age population. The total period of 2005–2021 was divided into five segments of 3–4 years each, characterising the picture of the socioeconomic state of the country during the period under consideration. The socioeconomic approach used in the study made it possible to assess the extent to which the mortality rate was influenced by the indicators adopted for analysis. The results of this study show that over the whole period, life security (48%) and working conditions (29%) contributed most to the level and dynamics of mortality in the working-age population, while factors determining living standards and the state of the healthcare system accounted for much smaller shares (14% and 9%, respectively). The methodological apparatus of this study is based on the application of methods of machine learning and intelligent data analysis, which allowed us to identify the main factors and their share in the total influence on the mortality rate of the working-age population. The results of this study show the need to monitor the impact of socioeconomic factors on the dynamics and mortality rate of the working-age population in order to improve the effectiveness of social programme. When developing and adjusting government programmes to reduce mortality in the working-age population, the degree of influence of these factors should be taken into account.

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Relevance. In Russia, there are significant regional variations in the socio-economic impact of the COVID-19 pandemic (e.g. the growth in the number of deaths ranged from 7% in Novgorod Region to 43% in the Chechen Republic). In this paper, we focus on excess mortality and the key factors that contributed to it in order to get a better understanding of reasons behind such dramatic regional variations. The research objective is to assess excess mortality due to the COVID-19 pandemic and identify the key factors influencing the growth in mortality and regional variations in this indicator. Data and methods. The paper uses the analytical, statistical and correlation methods and the statistical data on Russian regions provided by the Federal State Statistics Service (Rosstat). Results. The analysis of excess mortality in Russian regions during the COVID-19 pandemic, in particular the correlation between excess mortality and intensity of human flows, has been used to build a typology of regions. In total, the regions were divided into four groups, and for each group the main factors that contributed to the growth in mortality were identified. The research findings can be used by policy-makers to devise more efficient regional policies in response to the COVID-19 crisis.

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