Clustering of Municipal Self-Government Bodies on the Basis of Statistical Indicators

Abstract

The application of cluster analysis by the method of k – means local self-government bodies of the Republic of Uzbekistan is examined from the standpoint of the state of self-government bodies, as well as the level and quality of life of the population. Based on statistical information, the paper presents the results of the division of regions according to key indicators of self-government bodies. In the course of the study, five clusters were identified: with a low, below average, average, above average, and a high state of development of self-government. To characterize the self-governing bodies of the Khorezm region, statistics were used on self-governing bodies (population) and some system of socio-economic indicators of the level and quality of life (average per capita total income of the population, average per capita real income of the population, number of crimes and unemployment, facilities and municipal facilities , living area per inhabitant, etc.).