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Geography and Natural Resources

2026 year, number 1

Territorial dynamics of the population in the labor market of Siberia

Yu.N. DMITRIEVA
V.B. Sochava Institute of Geography, Siberian Branch, Russian Academy of Sciences, Irkutsk, Russia
Keywords: regions, population, economic sectors, employment and unemployment, demographic factors

Abstract

The relevance of the study is determined by the low population size and density, as well as the shortage of labor resources in Siberia amid depopulation and migration outflow from the territories. Significant differences in the socio-economic status of Siberian subjects determine the population movement to more developed regions, exacerbating territorial disparities in the distribution of labor resources in the labor market. The novelty of the study lies in its comprehensive approach to studying the relationships between demographic processes, economic development of the territory and social changes in society. The features of territorial dynamics of the population in the labor market (in terms of size, growth, distribution of those employed in economic sectors, and unemployment rate) are analyzed, taking into account the influence of economic and demographic factors. Regional factors that determine the increase/decrease in the total population, the working-age population and those employed in the economy have been identified. Between 2011 and 2023, significant shifts occurred in the overall structure the population employed in the economy, with a reduction in the total number of this group within one percent. The greatest decrease in the number of employed people was typical for agriculture, education and healthcare. The largest increase in the number of employed people was recorded in trade, in such areas as the repair of vehicles and household goods, transport and communications, and in the extraction of minerals. The matrix of labor market indicators, the quality of life index, the ratio of median income to the cost of a set of goods and services, and the share of the population below the poverty line revealed a clear correlation between economic and socio-demographic indicators.