## 7 Conclusions
Europe shows a balanced distribution of natural and man-made (technological) disasters, underscoring the importance of adapting to climate change and maintaining high industrial safety standards. South America faces significant natural disasters such as floods and storms, alongside challenges related to industrial safety. The temporal analysis indicates an increasing trend in disaster occurrences until the 2000s, followed by a decline in the last decade, possibly due to advancements in disaster risk management practices, improved early warning systems, and greater global awareness of disaster risks. Despite progress, the high frequency of certain disaster types, such as floods and technological accidents, indicates the need for continuous efforts in these areas. A detailed analysis of the consequences of natural and man-made (technological) disasters over five-year intervals provides significant insights into the evolution of these events' impacts on human lives and economies. Natural disasters have consistently caused substantial fatalities and economic losses, while man-made (technological) disasters, initially less significant, have become more pronounced with industrialization and technological development. Recent trends show a reduction in fatalities from natural disasters, attributed to improved disaster management practices, early warning systems, and global initiatives aimed at reducing disaster risk. Regarding the testing of the hypotheses, the first hypothesis was confirmed, as natural disasters accounted for 69.41% of the total number of disasters, causing greater economic losses and human casualties compared to man-made (technological) disasters. The second hypothesis was supported by significant geographical differences in the frequency and type of disasters, with Asia being the most affected continent and Africa having the highest percentage of man-made (technological) disasters. The third hypothesis was validated through the identification of significant temporal changes in disaster frequency, peaking in the periods 1990-2000 and 2000-2010, while the last decade saw a decline in the total number of events. The fourth hypothesis was proven by seasonal variations, with floods peaking in January and July, and storms being most frequent in June and October. Finally, the fifth hypothesis was confirmed, as different types of disasters had varying impacts on economic losses and human resources, with earthquakes and storms causing the greatest economic losses, while droughs and floods were the most deadly for human lives. These findings underscore the need for tailored disaster risk management strategies in different regions. The Pearson correlation analysis underscores that socio-economic factors, particularly population density and urbanization rate, play a significant role in influencing the distribution and consequences of disasters, including the number of deaths, injuries, and natural disasters. Higher population density is linked to a greater number of individuals affected, while higher urbanization rates and better governance are associated with a reduction in the overall number of disasters, deaths, and injuries. These insights emphasize the importance of considering socio-economic contexts in disaster risk management, highlighting the need for tailored strategies to enhance community resilience. This study contributes to the understanding of the global distribution and impact of natural and man-made (technological) disasters through a historical context. It provides a foundation for further research in disaster risk reduction (DRR), particularly in the context of climate change and urbanization. Identifying specific geographical and socio-economic factors contributing to the frequency and severity of disasters can help develop theoretical models and predictive tools for risk management. This study's results can serve as a reference point for future quantitative and qualitative analyses exploring the effectiveness of various DRR strategies and policies.