Introduction. Improving the quality of life is the main vector of social responsibility of any business. Purpose: analysis of key indicators of ensuring the quality of life of the population, and identification of negative trends in the formation of an integral assessment. Materials and methods. One of the four agrosoil zones of the Penza region – Vadinsko-Mokshanskaya – was chosen as the object of the study. It unites twelve administrative dis-tricts that are similar to each other in terms of the correspondence of agro-climatic resources to production needs. For the grouping, analysis, assessment and ranking of territorial units to ensure the quality of life of the population, elements of constructing cause-and-effect relationships, methods of analysis and assessment based on the absolute increase in key indicators, and methods of integration were used. Research results, discussion. All the most important factors affecting the quality of life of the population are grouped into four enlarged groups: population, level of education, quality of housing, demographic situation. Each enlarged group includes a corresponding set of indicators that most accurately reflect the standard of living of the population for the cor-responding group. For each aggregate group, a rating assessment of the quality of life of the population of the administrative units selected for the analysis was carried out. In turn, the rating assessment served as the basis for calculating the integral indicator of the quality of life of the population for each district, and determining the best and worst positions for administrative units. Conclusion. Some districts have a sufficient spread in the val-ue of the quality of life index in the context of certain groups of indicators. The most stable picture is observed in three administrative units, which, in turn, are leaders in the overall integral assessment of the quality of life in-dex. Districts that occupy the worst positions in the quality of life index need special attention in terms of stimu-lating fertility rates, migration in the framework of the development of social infrastructure and maintaining such groups of indicators as “Demographic situation”, “Quality of housing” and “Level of education”.