In 2023, there was a total of 398 natural disasters events recorded worldwide, down from 398 recorded a year earlier. The Europe, Middle East and Africa region experienced the highest number of natural disasters that year. Deaths and costs of natural disasters Natural disasters affect almost every part of the world. In February 2023, Turkey and Syria were hit by earthquakes that resulted in the highest number of deaths due to natural disaster events that year. In terms of economic damage, Hurricane Katrina remains one of the most expensive natural disasters in the world, topped only by the earthquake/tsunami which hit Japan in 2011. Climate change and natural disasters Climate change has influenced the prevalence of natural disasters. Global warming can increase the risk of extreme weather, resulting in higher risk of droughts and stronger storms, such as tropical cyclones. For instance, higher levels of water vapor in the atmosphere give storms the power to emerge. Furthermore, the heat in the atmosphere and high ocean surface temperatures lead to increased wind speeds, which characterize tropical storms. Areas that are usually unaffected by the sea are becoming more vulnerable due to rising sea levels as waves and currents become stronger.

In 2023, the United States experienced 25 natural disasters, which made it the most natural catastrophe-prone country in the world that year. India and China came second on that list with 17 natural disasters occurring in the same year. Floods was the most common type of natural disaster in 2023. Types of natural disasters There are many different types of natural disasters that occur worldwide, including earthquakes, droughts, storms, floods, volcanic activity, extreme temperatures, landslides, and wild fires. Overall, there were 398 natural disasters registered all over the world in 2023. Costs of natural disasters Due to their destructive nature, natural disasters take a severe toll on populations and countries. Storms and floods, which tend to occur most regularly, have the biggest economic impact in the countries that they occur. In 2023, storms caused damages estimated at more than 100 billion U.S. dollars. Meanwhile, the number of deaths due to natural disasters neared 100,000 that year. The earthquake in Turkey in February had the highest death toll, with more than 50,000 fatalities. Scientists predict that some natural disasters such as storms, floods, landslides, and wildfires will be more frequent and more intense in the future, creating both human and financial losses.

Extreme weather and climate disaster events caused a total of 92.9 billion U.S. dollars in damages across the United States in 2023. This was some 86 billion U.S. dollars less than the previous year. In total, there were 28 separate billion-dollar extreme weather and climate events in the United States in 2023. These included severe storms, wildfires, tropical cyclones, flooding, and drought.

The risk of natural disasters, many of which are amplified by climate change, requires the protection of emergency evacuation routes to permit evacuees safe passage. California has recognized the need through the AB 747 Planning and Zoning Law, which requires each county and city in California to update their - general plans to include safety elements from unreasonable risks associated with various hazards, specifically evacuation routes and their capacity, safety, and viability under a range of emergency scenarios. These routes must be identified in advance and maintained so they can support evacuations. Today, there is a lack of a centralized database of the identified routes or their general assessment. Consequently, this proposal responds to Caltrans’ research priority for “GIS Mapping of Emergency Evacuation Routes.†Specifically, the project objectives are: 1) create a centralized GIS database, by collecting and compiling available evacuation route GIS layers, and the safety eleme..., The project used the following public datasets: • Open Street Map. The team collected the road network arcs and nodes of the selected localities and the team will make public the graph used for each locality. • National Risk Index (NRI): The team used the NRI obtained publicly from FEMA at the census tract level. • American Community Survey (ACS): The team used ACS data to estimate the Social Vulnerability Index at the census block level. Then the author developed a measurement to estimate the road network performance risk at the node level, by estimating the Hansen accessibility index, betweenness centrality and the NRI. Create a set of CSV files with the risk for more than 450 localities in California, on around 18 natural hazards. I also have graphs of the RNP risk at the regional level showing the directionality of the risk., , # Data from: Improving public safety through spatial synthesis, mapping, modeling, and performance analysis of emergency evacuation routes in California localities

https://doi.org/10.5061/dryad.w9ghx3g0j

Description of the data and file structure

For this project’s analysis, the team obtained data from FEMA's National Risk Index, including the Social Vulnerability Index (SOVI).

To estimate SOVI, the team used data from the American Community Survey (ACS) to calculate SOVI at the census block level.

Using the graphs obtained from OpenStreetMap (OSM), the authors estimated the Hansen Accessibility Index (Ai) and the normalized betweenness centrality (BC) for each node in the graph.

The authors estimated the Road Network Performance (RNP) risk at the node level by combining NRI, Ai, and BC. They then grouped the RNP to determine the RNP risk at the regional level and generated the radial histogram. Finally, the authors calculated each ana...

Source: The Emergency Events Database (EM-DAT) , Centre for Research on the Epidemiology of Disasters (CRED) / Université catholique de Louvain (UCLouvain), Brussels, Belgium – www.emdat.be.Category: Climate and WeatherData series: Climate related disasters frequency, Number of Disasters: TOTAL  Climate related disasters frequency, Number of Disasters: Drought  Climate related disasters frequency, Number of Disasters: Extreme temperature  Climate related disasters frequency, Number of Disasters: Flood  Climate related disasters frequency, Number of Disasters: Landslide  Climate related disasters frequency, Number of Disasters: Storm  Climate related disasters frequency, Number of Disasters: Wildfire Climate related disasters frequency, People Affected: Drought  Climate related disasters frequency, People Affected: Extreme temperature  Climate related disasters frequency, People Affected: Flood  Climate related disasters frequency, People Affected: Landslide  Climate related disasters frequency, People Affected: Storm  Climate related disasters frequency, People Affected: Wildfire Climate related disasters frequency, People Affected: TOTAL  Disaster IntensityMetadata:EM-DAT: The International Disasters Database - Centre for Research on the Epidemiology of Disasters (CRED), part of the University of Louvain (UCLouvain) www.emdat.be, Brussels, Belgium. Only climate related disasters (Wildfire, Storm, Landslide, Flood, Extreme Temperature, and Drought) are covered. See the CID Glossary for the definitions. EM-DAT records country level human and economic losses for disasters with at least one of the following criteria: i.          Killed ten (10) or more people  ii.         Affected hundred (100) or more people  iii.        Led to declaration of a state of emergency iv.        Led to call for international assistance   The reported total number of deaths “Total Deaths” includes confirmed fatalities directly imputed to the disaster plus missing people whose whereabouts since the disaster are unknown and so they are presumed dead based on official figures. “People Affected” is the total of injured, affected, and homeless people. Injured includes the number of people with physical injuries, trauma, or illness requiring immediate medical assistance due to the disaster. Affected includes the number of people requiring immediate assistance due to the disaster. Homeless includes the number of people requiring shelter due to their house being destroyed or heavily damaged during the disaster. Disaster intensity is calculated by summing “Total Deaths” and 30% of the “People Affected”, and then dividing the result by the total population. For each disaster and its corresponding sources, the population referred to in these statistics and the apportionment between injured, affected, homeless, and the total is checked by CRED staff members. Nonetheless, it is important to note that these are estimates based on certain assumptions, which have their limitations. For details on the criteria and underlying assumptions, please visit https://doc.emdat.be/docs/data-structure-and-content/impact-variables/human/. Methodology:Global climate related disasters are stacked to show the trends in climate related physical risk factors.

In 2024, the economic losses due to natural disasters worldwide amounted to about 368 billion U.S. dollars. Natural disasters occur as a result of natural processes on Earth. Many different types of natural disasters can occur, including floods, hurricanes, earthquakes, and tsunamis. Natural disasters in 2024 Tropical cyclones generated the highest amount of economic losses in 2024 with 145 billion U.S. dollars worldwide. Hurricanes Helene and Milton were the most destructive events worldwide that year with over a hundred billion U.S. dollars in economic losses. Flooding events ranked second in the costliest events in 2024, with flooding in Valencia, Spain, and South and Central China being the worst examples. Asia hardest hit by natural disasters A highly destructive force, Asia is one of the most susceptible regions to natural disasters. The repercussions of natural disasters are not only physical, but also economic. Costs may be high – depending on the severity – as areas affected by natural disasters might need to be rebuilt. Lower income countries are more likely to be affected by natural disasters for a multitude of reasons, including a lack of developed infrastructure, inadequate housing, and lack of back-resources.

's No. of persons that suffered due to natural disasters is 14person which is the 38th highest in Japan (by Prefecture). Transition Graphs and Comparison chart between Shizuoka and Fukuoka(Fukuoka) and Ibaraki(Ibaraki)(Closest Prefecture in Population) are available. Various data can be downloaded and output in csv format for use in EXCEL free of charge.

The statistic shows the leading causes of deaths due to tropical cyclones in the United States from 1963 to 2012. Total 8 percent of victims died because of wind effects during tropical cyclones.

Haiti was hit by one climate change-related disaster throughout 2023. Both in 2005 and 2016, the Caribbean country experienced a total of eight climate change-related disasters, the highest figure recorded within a single year. These events may include storms, extreme temperatures, floods, wet mass displacement, droughts, and wildfires.

Transportation networks play a crucial role in society by enabling the smooth movement of people and goods during regular times and acting as arteries for evacuations during catastrophes and natural disasters. Identifying the critical road segments in a large and complex network is essential for planners and emergency managers to enhance the network’s efficiency, robustness, and resilience to such stressors. We propose a novel approach to rapidly identify critical and vital network components (road segments in a transportation network) for resilience improvement or post-disaster recovery. We pose the transportation network as a graph with roads as edges and intersections as nodes and deploy a Graph Neural Network (GNN) trained on a broad range of network parameter changes and disruption events to rank the importance of road segments. The trained GNN model can rapidly estimate the criticality rank of individual road segments in the modified network resulting from an interruption. We address two main limitations in the existing literature that can arise in capital planning or during emergencies: ranking a complete network after changes to components and addressing situations in post-disaster recovery sequencing where some critical segments cannot be recovered. Importantly, our approach overcomes the computational overhead associated with the repeated calculation of network performance metrics, which can limit its use in large networks. To highlight scenarios where our method can prove beneficial, we present examples of synthetic graphs and two real-world transportation networks. Through these examples, we show how our method can support planners and emergency managers in undertaking rapid decisions for planning infrastructure hardening measures in large networks or during emergencies, which otherwise would require repeated ranking calculations for the entire network.

Spearman’s coefficient on minnesota transportation network.

This statistic shows the number of earthquakes in the United States from 2000 to 2012. 2,342 earthquakes were recorded in the United States in the year 2000.

More than 2,100 human lives were lost due to natural extreme events such as floods and heavy rains across India during fiscal year 2023. This represented a slight decrease when compared to the previous financial year, and the highest figure reported since 2014.

In 2018, it was estimated that almost 203 thousand people were at risk of displacement per year due to natural disasters in Brazil. Among the countries shown in this graph, Colombia had the second highest annual number of citizens at risk of being displaced for this reason, with more than 155 thousand.

In recent years, severe convective storms, or cyclones, caused the highest insured losses in the United States. In 2023, insured losses due to these storms amounted to almost 60 billion U.S. dollars, while losses due to drought amounted to approximately 6.6 billion U.S. dollars. Hurricanes in the U.S. The term “tropical cyclone” is a meteorological term which refers to both hurricanes and typhoons. As of 2023, the most expensive natural disaster to have occurred in the U.S. was Hurricane Katrina, which occurred in 2005 and resulted in costs amounting to over 120 billion U.S. dollars at the time. Hurricane Ian was the latest hurricane to occur in the United States, and cost around 115 billion U.S. dollars. Hurricane Katrina also caused insured property losses worth over 85 billion U.S. dollars in 2005. Natural disasters globally Natural disasters are defined as events which are caused by naturally occurring phenomena that result in catastrophe. The global insured losses caused by natural disasters over time has been considerable, with costs amounting to more than 100 billion U.S. dollars in 2021 alone. In 2023, the global estimate of insured loss stood at well over 100 billion U.S. dollars. At the same time, the estimated economic losses incurred as a result of natural disasters worldwide amounted to almost 400 billion U.S. dollars.

Provided by the Department of the Environment and Energy. Funding for nine different grant projects between 2011/12 and 2015/16. Grant projects are: Grants to Voluntary Environment, Sustainability …Show full descriptionProvided by the Department of the Environment and Energy. Funding for nine different grant projects between 2011/12 and 2015/16. Grant projects are: Grants to Voluntary Environment, Sustainability and Heritage Organisations (GVESHO), Indigenous Heritage Programme Community Heritage and Icons Grants, Heritage Grants–Celebrating Community Heritage, Heritage Grants–Protecting National Historic Sites, Heritage Grants–Bringing Heritage Online, Heritage Grants–Recovering from Natural Disasters, Heritage Grants–Sharing Community Heritage Stories, Heritage Grants–Commemorating Eminent Australians. Figure OVW7 in Overview report. https://soe.environment.gov.au/theme/overview/heritage/topic/overview-effectiveness-management-heritage#Figure_OVW7 and Figure HER18 and HER19 in heritage https://soe.environment.gov.au/theme/heritage/topic/2016/inputs-financial-resources#heritage-figure-HER18 https://soe.environment.gov.au/theme/heritage/topic/2016/inputs-financial-resources#heritage-figure-HER19

This graph depicts the direct economic loss caused by natural disasters in China in 2023, by region. That year, natural disasters had caused a direct economic loss of approximately 0.4 billion yuan in Anhui province.

In 2023, Brazil experienced a total of 12 climate change-related disasters, the same figure recorded one year prior. This represented the largest number of natural catastrophes caused by climate change in the South American country in a single year.

The risk index for a tsunami occurring in Indonesia in mid-2023 was 9.7 out of a maximum of ten points. Indonesia lies on the Pacific "Ring of Fire” where volcanic eruptions, earthquakes, tsunamis, floods, landslides, drought, and forest fires frequently happen. With at least 1.5 thousand natural disasters occurring in Indonesia every year, the archipelagic country has one of the highest natural disaster rates worldwide.

Epicentrum of natural disasters in Indonesia Two of the most catastrophic natural disasters in human history took place in this archipelagic nation: the Tambora eruption in 1815, the most powerful volcanic eruption to date; and the Indian Ocean tsunami in 2004, which was the most catastrophic tsunami so far with a death toll of over 225 thousand across 14 countries. The islands of Sumatra and Java have the highest number of volcanoes in Indonesia and as these are mostly active, these islands are more prone to natural disasters such as tsunamis and earthquakes compared to other Indonesian islands.

Disaster management in Indonesia has not been fully optimized yet With a series of major natural disasters in 2018, Indonesia’s disaster risk management budget tripled from 2017 to 2018. The budget kept increasing in the following years, especially for 2020, with the outbreak of the COVID-19 pandemic. However, despite the prevalence and high frequency of natural hazards, there is still a strong and compelling need to improve and prioritize disaster management in the country. According to the Indonesian National Agency for Disaster Countermeasure's data in 2022, the number of killed or missing people due to natural disasters in Indonesia showed a constant increase compared to the past five years.

The graph shows direct economic loss caused by geological disasters in China until 2022. In 2022, the direct economic loss caused by geological disasters amounted to around 1.5 billion yuan.