CLUSTER ANALYSIS IN SOLVING THE PROBLEM OF TYPOLOGY OF REGIONS OF THE SIBERIAN FEDERAL DISTRICT BY THE LEVEL OF INCOME AND PROPERTY POTENTIAL OF THE POPULATION

Abstract

The article presents the methodology and results of the typology of the regions of the Siberian Federal District in terms of the income and property potential of the population. The authors use the method of multivariate classification — cluster analysis, the application of which in this study was carried out in stages using the Statistica software package. To measure the level of income and property potential of the population, a system of indicators was used, including income, as well as the provision of movable and immovable property to the population. As a result, the authors identified three groups of regions with different levels of income and property potential of the population. An analysis was carried out in which each resulting cluster is compared with the average values for the Siberian Federal District and the Russian Federation, as well as for indicators of the income and property potential of the population. The authors focus on the significant heterogeneity of the regions of the Siberian Federal District in terms of income and property indicators and point out the need for a differentiated approach when making decisions in the field of evidence-based state policy and a long-term strategy for the dynamic growth of the welfare of the population.