Statistical Analysis of the Number of Fires and their Material Damage in the Regions of the Southern Federal District and Russia

Subject. A complex of relations for assessing the operation of the fire safety system in Russia, the Southern Federal District (SFD), and its regions. This system is a broad structure of bodies and organizations, integrated to solve the problems of ensuring the safety of the population and the sustainability of the country’s economy and its regions. The effective operation of such a system requires adequate statistical information support, as it is the only source of obtaining complete, reasonable, and timely data on the stress and variability of fire hazards.

Purpose. To obtain real information about the complex and multifaceted processes of fire safety at the federal and regional levels in modern Russia.

Methodology. The study is based on the integration of information about the number of fires and their material damage indexes in the Southern Federal District and its regions, as well as in Russia as a whole. Its main element is the determination of trends in dynamics and the comparison of these trends at the studied national economic levels for the period 2018 - 2024. The article compares the obtained trends to receive a real picture of fire safety in the most dangerous and safe regions of the Southern Federal District, as well as to determine whether these trends correspond to the national trends.

Results. Based on statistical data, some trends in the growth of the number and material damage from fires in the country and the Southern Federal District have been identified, as well as the regions of this federal district where such negative trends are most pronounced, and the regions where the fire hazard is decreasing.

Conclusions. The slight increase in the number and material damage from fires necessitates the improvement of the entire fire safety system. At the same time, first of all, such improvement should concern information support based on the widespread introduction of statistical processing methods that allow considering both individual fires and analyzing fire hazard in the form of a process at macro and meso levels of socio-economic development.

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