Subject. This article considers single-industry towns of the Russian Federation as specific settlements. Objectives. The article aims to analyze the distribution of single-industry towns by category for 2014–2022, and model the rate of population change in single-industry towns. Methods. For the study, we used statistical, regression, and comparative analyses. Results. The article finds that social and economic factors, as well as the distance from a single-industry town to the capital of the region, affect the population growth of single-industry towns. Conclusions. The results of the study can be taken into account by government agencies when designing a strategy for the development of single-industry towns.
Keywords: company town, demography, category, grouping, funding, regression modeling
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