In 2023, there was a total of *** natural disasters events recorded worldwide, down from *** 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, there was a global protection gap of *** U.S. dollars for natural disasters worldwide. The estimated economic loss of natural disasters worldwide was *** billion U.S. dollars, while the estimated insured loss amounted to *** billion U.S. dollars.Where did the most costly natural disaster occur?Natural disasters are extreme, sudden catastrophes that are caused by natural processes by the earth. Different types of natural disasters include floods, hurricanes, tornadoes, earthquakes, and tsunamis. There are many consequences that occur as a result of natural disasters, which include death, economic and infrastructural damage, and public health issues. The 2011 earthquake and tsunami that happened in Japan caused the most economic damage worldwide in the past four decades. Most costly disasters for insurersThe impact of natural disasters on insurance companies varies depends on the prevalence of insurance coverage in the affected region. Generally, losses from natural disasters that occur in wealthy countries such as the United States include a greater percentage of insured losses than disasters that occur in lower income countries. 2017 remains the worst year for insured property losses in the United States due to several major hurricanes in the U.S. and the Caribbean. Domestically, Hurricane Katrina was the most expensive natural disaster of all time.

There were a total of 1,033 fatalities reported due to heat waves, wildfires, and drought in the United States in 2024. In total, there were about 1,576 fatalities due to severe natural disasters in the United States that year.

In 2024, there were roughly 18,100 reported fatalities caused by natural disaster events worldwide. This was well below the 21st-century average and significantly lower than the fatalities recorded in 2023, which were driven by the earthquakes that hit Turkey and Syria on February and became the deadliest catastrophes in 2023, with nearly ****** reported deaths. Economic losses due to natural disasters The economic losses due to natural disaster events worldwide amounted to about *** billion U.S. dollars in 2024. Although figures in recent years have remained mostly stable, 2011 remains the costliest year to date. Among the different types of natural disaster events, tropical cyclones caused the largest economic losses across the globe in 2024. What does a natural disaster cost? Hurricane Katrina has been one of the costliest disasters in the world, costing the insurance industry some *** billion U.S. dollars. The resilience of societies against catastrophes have been boosted by insurance industry payouts. Nevertheless, insurance payouts are primarily garnered by industrialized countries. In emerging and developing regions, disaster insurance coverage is still limited, despite the need for improved risk management and resilience as a method to mitigate the impact of disasters and to promote sustainable growth.

Indication of whether households had experienced an extreme weather event or natural disaster, the nature of the event, the impact of the event, and whether an alert had been received. Includes an indication of the preferred method of notification for future events. The data are from the Households and the Environment Survey.

Note: this map service is being replaced by a new set of feature layers, please use these instead:Historical Tsunami EventsTsunami ObservationsSignificant EarthquakesSignificant Volcanic EventsVolcano LocationsCurrent DARTs and Retrospective BPR DeploymentsHistorical MarigramsTsunami-Capable Tide StationsPlate BoundariesNatural hazards such as earthquakes, tsunamis, and volcanoes affect both coastal and inland areas. Long-term data from these events can be used to establish the past record of natural hazard event occurrences, which is important for planning, response, and mitigation of future events. NOAA's National Centers for Environmental Information (NCEI) plays a major role in post-event data collection. The data in this archive is gathered from scientific and scholarly sources, regional and worldwide catalogs, tide gauge reports, individual event reports, and unpublished works. For more information, please see: https://www.ncei.noaa.gov/products/natural-hazardsTo view this service in an interactive mapping application, please see the Global Natural Hazards Data Viewer (NOAA GeoPlatform entry).

Introduction

Natural Disaster Statistics: In the past two decades, the frequency of natural disasters worldwide has surged significantly, compounded by the emergence of man-made viruses. India, for instance, grappled with extensive rainfall in Kerala, necessitating mass relocations and inflicting substantial economic losses.

Concurrently, snowstorms, a perennial threat in many regions, continue to exact billions from economies globally. However, technological advancements offer a glimmer of hope, empowering us with predictive capabilities to anticipate such calamities. To grasp the scope of these developments, it's crucial to delve into historical natural disaster statistics.

This dataset is derived from NASA's EONET API, which provides real-time and historical data on significant natural events happening across the globe. It includes cleaned and structured records of global natural disasters such as wildfires, severe storms, floods, and more. This dataset holds significant value for analysis as it offers insights into historical trends, geospatial patterns, climate change impacts, and disaster preparedness strategies.

The Geocoded Disasters (GDIS) Dataset is a geocoded extension of a selection of natural disasters from the Centre for Research on the Epidemiology of Disasters' (CRED) Emergency Events Database (EM-DAT). The data set encompasses 39,953 locations for 9,924 disasters that occurred worldwide in the years 1960 to 2018. All floods, storms (typhoons, monsoons etc.), earthquakes, landslides, droughts, volcanic activity and extreme temperatures that were recorded in EM-DAT during these 58 years and could be geocoded are included in the data set. The highest spatial resolution in the data set corresponds to administrative level 3 (usually district/commune/village) in the Global Administrative Areas database (GADM, 2018). The vast majority of the locations are administrative level 1 (typically state/province/region).

Natural Disasters Deaths

People killed in natural disasters by country by year

About this dataset

How much do natural disasters cost us? In lives, in dollars, in infrastructure? This dataset attempts to answer those questions, tracking the death toll and damage cost of major natural disasters since 1985. Disasters included are storms ( hurricanes, typhoons, and cyclones ), floods, earthquakes, droughts, wildfires, and extreme temperatures

How to use the dataset

This dataset contains information on natural disasters that have occurred around the world from 1900 to 2017. The data includes the date of the disaster, the location, the type of disaster, the number of people killed, and the estimated cost in US dollars

Research Ideas

• An all-in-one disaster map displaying all recorded natural disasters dating back to 1900.
• Natural disaster hotspots - where do natural disasters most commonly occur and kill the most people?
• A live map tracking current natural disasters around the world

Acknowledgements

License

See the dataset description for more information.

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.

The NOAA National Centers for Environmental Information ceased providing support for this product in May 2025 in response to an initiative to implement reductions within the U.S. federal government. This dataset contains U.S. disaster cost assessments of the total, direct losses ($) inflicted by: tropical cyclones, inland floods, drought & heat waves, severe local storms (i.e., tornado, hail, straight-line wind damage), wildfires, crop freeze events and winter storms. These assessments require input from a variety of public and private data sources including: the Insurance Services Office (ISO) Property Claim Services (PCS), Federal Emergency Management Agency (FEMA) National Flood Insurance Program (NFIP) and Presidential Disaster Declaration (PDD) assistance, and the United States Department of Agriculture (USDA) National Agricultural Statistics Service (NASS) & Risk Management Agency (RMA), the National Interagency Fire Center (NIFC) and state agency reporting, among others. Each of these data sources provides unique information as part of the overall disaster loss assessment.

• The Ministry of the Interior and Safety publishes the 'Administrative Safety Statistical Yearbook' every year by compiling statistical data from the headquarters of the Ministry of the Interior and Safety and its affiliated organizations in accordance with the 'Ministry of the Interior and Safety Statistical Management Regulations'. - The statistical information by field included in the 'Administrative Safety Statistical Yearbook' is provided as an open API so that it can be used in various fields in both the public and private sectors. - The open API in question is statistics on 'natural disasters' and 'regional natural disaster facility damage' among 'disaster management' included in the 'Administrative Safety Statistical Yearbook'. It collects statistics on damage to buildings, ships, farmland, and public facilities, deaths, and missing persons caused by natural disasters in each region and provides statistical information on natural disaster facility damage by region. - In addition, the 'Administrative Safety Statistical Yearbook' can be downloaded in PDF format from the Ministry of the Interior and Safety website at Policy Data > Statistics > Statistical Yearbook/Statistics by Subject.

In 2024, the United States experienced 29 natural disasters, which made it the most natural catastrophe-prone country in the world that year. Indonesia and China came second on that list, with 20 and 18 natural disasters occurring in the same year, respectively. Storms were the most common type of natural disaster in 2024. 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 wildfires. 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. Tropical cyclones have the biggest economic impact in the countries that they occur. In 2024, tropical cyclones caused damage estimated at more than 145 billion U.S. dollars. Meanwhile, the number of deaths due to natural disasters neared 18,100 that year. The Heat Wave in Saudi Arabia had the highest death toll, with 1,301 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.

The percentage of respondents who report they experienced damage to their home or livestock as a result of natural disasters or severe weather events in the past three years The respondents are the entire civilian, noninstitutionalized population age 15 and up in the target economies.

Little is known about the fiscal costs of natural disasters, especially regarding social safety nets that do not specifically target extreme weather events. This paper shows that US hurricanes lead to substantial increases in non-disaster government transfers, such as unemployment insurance and public medical payments, in affected counties in the decade after a hurricane. The present value of this increase significantly exceeds that of direct disaster aid. This implies, among other things, that the fiscal costs of natural disasters have been significantly underestimated and that victims in developed countries are better insured against them than previously thought.

The largest earthquake in the contiguous United States was registered on January 1700 at the Cascadia subduction zone in the Pacific coast with magnitude of nine in the Richter scale.

Open Data for Resilience Initiative (OpenDRI) applies the concepts of the global open data movement to the challenges of reducing vulnerability to natural hazards and the impacts of climate change. OpenDRI supports World Bank Regional Disaster Risk Management Teams to build capacity and long-term ownership of open data projects with client countries that are tailored to meet specific needs and goals of stakeholders around three main areas of Sharing Data, Collecting Data, Using Data. All data is published under an open license. Projects include Open Cities Africa, with national projects in: Niger (flood hostpots and mitigation), Uganda (drought risk information and disaster risk financing), Zanzibar (vunlerability to natural disasters), Pacific Islands (Natural Disasters and Climate Change), Sri Lanka (evidence based methods for natural disaster response), Afghanistan (disaster risk decisionmaking), St Vincent and the Grenadines (hydroclimatic disasters), Saint Lucia (post disaster rehabilitation), Jamaica (storm even impact), Serbia (disaster preparedness), Indonesia (disaster management especially flooding), Seychelles (site specific risks of floods, earthquakes, cyclones, storm surge and tsunamis), Muaritius (under development), Madagascar (under development), Vietnam (natural hazards especially flood risks and climate change impacts), Bangladesh (under development), Pakistan (earthquakes and monsoon floods), Nepal (Seismic risk), Haiti (storms, flooding, landslides, environmental degradation), Guyana (under development), Grenada (under development), Dominica (extreme weather events), Colombia (flooding, landslides, increased vulnerability due to insufficient urban planning), Antigua and Barbuda (cyclones, fires and flooding), Belize (storm, flood and tsunami risks), Bolivia (natural hazards and climate change), Kyrgyz Republic (risk data on meteorological, geological, geophyical and boilogical hazards), Philippines (typhoones and monsoon floods recovery data), Tanzania (flood maps), Mozambique (flood, cyclone and windstorms), Comoros (flood, storm, volcanic eruption), Malawi (information to develop schools, healthcare and agriculture against floods and droughts), Armenia (earthquakes, drought, hailstorms, landslides)

This entry does not contain data itself, it is for the website, the NASA Disasters Mapping Portal: https://maps.disasters.nasa.gov The Disasters Mapping Portal contains numerous datasets that can be streamed from the Portal into GIS software. The Disasters Applications area promotes the use of Earth observations to improve prediction of, preparation for, response to, and recovery from natural and technological disasters. Disaster applications and applied research on natural hazards support emergency mitigation approaches, such as early warning systems, and providing information and maps to disaster response and recovery teams. NOTE: Removed "2017 - Present" from "Temporal Applicability" since it's not valid NOTE: Removed "Event-Specific and Near-Real Time Products" from "Update Frequency" since it's not valid

Abstract Natural disasters occurred since the emergence of man on planet Earth, about 350 thousands years ago. Its have been modified ecosystems in a way that can provide the most varied impacts population treatment, quality of life and others activities. Disasters in Brazil have led to significant losses, especially in areas and regions that concentrate the poorest and most vulnerable populations. As a hypothesis, we believe that it is pertinent to disseminate information on prevention and mitigation measures, specific to each identified vulnerability. The insertion of knowledge on integrated disaster risk management in higher education institutions presents itself as an effective option for the dissemination of prevention culture and the strengthening of more resilient communities. The general objective is to find out which natural physical phenomena have contributed to slowing down social and economic development. Given that the study of disasters is incipient in the country, we have opted for an exploratory research whose purpose was to provide us with greater scope with the problem of the research in question. In the contemporary world, it is essential that managers invest in risk and vulnerability management. As a suggestion, I believe that we can take this theme to the undergraduate, graduate and postgraduate courses strictly and broadly so that everyone has an understanding of the subject and can disseminate in a technical scientific way the strategic measures to mitigate the destructive effects of natural physical phenomena that trigger disasters.