The production-distribution-consumption cycle is one of the main cycles on which the economy state depends on. This study aims to determine the relationship between production, distribution, and consumption of goods within the central place hierarchies using hierarchical modeling (HLM). It allows us to analyze indicators within several levels of data aggregation. The analysis is carried out in the context of 2319 municipalities that are part of 84 regions of the Russian Federation, in 8 federal districts. The results show that hierarchical analysis methods can be used in the production-distribution-consumption cycle study. As part of the model's results, it was noted that the income of the population and exports, which determine the demands for goods, have a positive impact on the production and sales of goods. At the same time, the relationship between production and wholesale trade, which characterizes the distribution of goods, is not so clear. The production-distribution-consumption cycle study considers the hierarchy of central places, which takes into account the division of the territory into zones based on the functions performed. The methods of hierarchical analysis made it possible to evaluate the effects generated at each level. We managed to take into account the spatial heterogeneity and hierarchical structure of the data describing the production-distribution-consumption cycle. This will improve the quality of decisions when determining the manufacturing locations, as well as providing a better approach to the development of territories by state authorities.