кластерный анализ,
население,
демография,
старение населения,
демографические тенденции
Abstract
Introduction. The purpose of this article is to classify the regions of the Russian Federation by conducting a cluster analysis of key demographic and economic indicators to identify homogeneous clusters, followed by identifying the features and problems characteristic of certain clusters, and determining leading and depressed regions. Methods. This article conducted a cluster analysis using Ward's method and the k-means method. The analysis was based on selected demographic and economic indicators. Analysis. A cluster analysis was conducted, the optimal number of clusters was determined, and typological groups of Russian regions were identified. Key features of the formed groups were identified, leading regions, regions with average demographic potential, as well as the most depressed regions and those requiring attention were determined. Current demographic trends have been identified, including the aging trend of the Russian population. Conclusions. The demographic and economic characteristics of the regions of Russia identified as a result of the analysis can be further used in the development of various regional and federal measures and recommendations aimed at improving the demographic and economic situation.
