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scientific and scholarly sources, regional and worldwide catalogs, tide gauge reports, individual event reports, and unpublished works.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).

Data for the visualization published on the OD Mekong Disasters and emergency response page (https://opendevelopmentmekong.net/topics/disasters-and-emergency-response/). It shows the number of total deaths recorded by natural disaster classification. Source: EM-DAT: The OFDA/CRED International Disaster Database – www.emdat.be – Université Catholique de Louvain – Brussels – Belgium

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.

The Canadian Disaster Database is a publicly accessible web-based repository of historical information about natural and man-made disasters that have taken place since 1900 in Canada or abroad that have directly affected Canadians. The database contains information on over 1000 events and can be used to support research, academic activities and decision-making across a breadth of fields including earth sciences, agriculture, climate change, biology and epidemiology, land use planning, insurance, investment, and the anthropological and sociological aspects of community resilience, among many others. Canada endeavours to provide the best information possible; however, the information contained in the Canadian Disaster Database (CDD) is based on information that is sourced from outside parties and may not be accurate. Canada makes no representations, warranties, or guarantees, express or implied, that the data contained in the CDD may be relied upon for any use whatsoever. Canada accepts no responsibility or liability for inaccuracies, errors or omissions in the data and any loss, damage or costs incurred as a result of using or relying on the data in any way. The CDD may contain material that is subject to licensing requirements or copyright restrictions and may not be reproduced, published, distributed or transferred in whole or in part without the consent of the author. The CDD shares information on events that have fully concluded to ensure that the data reflects the event appropriately (i.e., insurance and disaster recovery payment information is available). For this reason, events for which the costs and/or other impacts have not fully recorded contributes to a delay in making them available through the CDD. If you have technical questions about accessing or using the data in the CDD, please write to us at ps.cdd-bdc.sp@ps-sp.gc.ca.

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).

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 60,000 reported deaths. Economic losses due to natural disasters The economic losses due to natural disaster events worldwide amounted to about 368 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 102 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.

"Disaster data for countries along the belt and road, mainly from the global disaster database.The records information of disaster database are from the United Nations, government and non-governmental organizations, research institutions and the media. It's documented in detail such as the country where the disaster occurred, the type of disaster, the date of the disaster, the number of deaths and the estimated economic losses. This study extracts the natural disaster records of the countries along the One Belt And One Road line one by one from the database, and finally forms the disaster database of 9 major disasters of the 65 countries. The natural disaster records collected can be roughly divided into nine categories, including: floods, landslides, extreme temperatures, storms, droughts, forest fires, earthquakes, mass movements and volcanic activities. From 1900 to 2018, a total of 5,479 disaster records were recorded in countries along the One Belt And One Road. From 2000 to 2015, there were 2,673 disaster records. On this basis, the natural disasters of the countries along the belt and road are investigated from four aspects, including disaster frequency, death toll, disaster-affected population and economic loss assessment. Overall, since 1900, a total of 5479 natural disasters have occurred in countries along the One Belt And One Road, resulting in about 19 million deaths and economic losses of about 950 billion us dollars. Among them, the most frequent occurrence is flood and storm; the biggest economic losses are floods and earthquakes; the most affected people are flood and drought; drought and flooding are the leading causes of death

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.

Record disasters such as earthquakes, hurricanes (or typhoons), tsunamis, widespread flooding and pollution, droughts, extremes of snowfalls and temperatures - all of which are associated with devastating losses and suffering - occur almost daily. Out of all natural disasters, floods in coastal regions are regarded as one of the most dangerous and harmful. According to the International Disaster Database (EM-DAT) such floods have shown the fastest rate of increase relative to other types of disasters (see also CRED 2004 and CRED 2011). However, most of these events, although commonly referred to as natural disasters, are not in fact the results of nature-related processes alone. They are to an ever increasing extent directly attributable to various social, economic, historical, political and even cultural issues. Rapid urbanization in coastal areas combined with climate change and poor governance can lead to a significant increase in the risk of local surface flooding (pluvial) coinciding with high water levels in rivers (fluvial) and high tide or storm surges from the sea (coastal) posing a greater risk of devastation in coastal communities. A particularly important part of the management of complex problems such as disasters due to extreme hydro-meteorological events is to understand the hazards formation over a range of spatial and temporal scales. For these purpose state of the art science and technology are used for better comprehension of the extreme events formation in today¿s climate and future changing climate conditions.

Archival records contain numerous references to climatic disasters or natural events, long before legislation took up the issue of compensation for victims of public or agricultural calamities.

The dataset made available here is a list of dated and localised events, compiled from information disseminated in inventories of the National Archives.

It contains the following information:

• Type of event: list closed from the terms used in the files;
• Content: description in the archive inventories;
• Department: current French departments (plus Algeria);
• Department number;
• Year;
• Location: municipality(s) mentioned where appropriate;
• Start date: in the form YYYY-MM-DD, although most dates contain only one indication of months;
• End date: in the form YYYY-MM-DD;
• Group: documentary ensemble stripped;
• URL of the notice: notice on the documentary portal of the National Archives;
• Rating;
• Unique identifier.

This dataset does not claim to be an exhaustive record of events over a period. It aims to make available dated and localised facts, in order to promote the exploitation of other content (press archives, documents kept in public archives, etc.). For example, for the 1950s and 1960s, only events were retained for which there is a file with several pieces. Chronological files containing prefectural orders classifying municipalities in a state of public disaster have not been identified; foot-and-mouth disease epizootic diseases, endemic during these years, have also not been taken into account.

The data made available concern (as of 20 November 2023) the recount of two groups of files:

• work for the restoration of cathedrals in the 19th century: 235 events listed in the files of works of cathedrals in France between 1800 and 1905 (archives of the former directorate of cults);
• public calamities (1950-1968): 779 events listed (archives of the Departmental and Municipal Directorate – ancestor of the Directorate-General for Local Authorities).

This dataset is expected to be updated later with other recounts.

The Act of 13 July 1982 on compensation to victims of natural disasters amends the previous legislation amending the previous regulatory regime (Law No 48-1516 of 26 September 1948, amended by Law No 50-960 of 8 August 1950, Act of 4 August 1956 establishing a fund for the relief of victims of disasters and disasters, Act of 10 July 1964 on agricultural disasters). The “paper” records of the recognition of the state of natural disaster resulting from the 1982 Act are archived in the National Archives. The data are available in open data via the database “Aided Management of Administrative Risk Procedures (GASPAR)](https://www.data.gouv.fr/fr/datasets/base-nationale-de-gestion-assistee-des-procedures-administratives-relatives-aux-risques-gaspar/#/resources)”.

Emergency Response and Disaster Management Wristband Market Outlook 2032

The global emergency response and disaster management wristband market size was USD XX Billion in 2023 and is projected to reach USD XX Billion by 2032, expanding at a CAGR of XX% during 2024–2032. The market growth is attributed to the growing demand for real-time data and analytics in disaster management and rising technological advancements in IoT & AI.



Growing incidences of natural disasters and man-made emergencies are anticipated to propel the market. Climate change has led to an increase in the frequency and severity of natural calamities such as hurricanes, floods, and wildfires. Additionally, urbanization and industrial activities have heightened the risk of man-made disasters, necessitating robust emergency management solutions. Wristbands equipped with GPS and biometric sensors provide crucial data that aid in the swift evacuation and medical assistance of affected individuals. This growing need for efficient disaster response mechanisms is fueling the adoption of these advanced wristbands. For instance,

• According to the latest data published in February 2024, there were 398 recorded natural disaster events globally in 2023, maintaining the same number as the previous year. The Europe, Middle East, and Africa region experienced a significant number of natural disasters during that period.

Rising investments in public safety infrastructure are likely to boost the emergency response and disaster management wristband market. Governments worldwide are prioritizing the enhancement of their emergency response frameworks to protect citizens and reduce economic losses. Funding for the development and deployment of advanced emergency management tools, including wristbands, is increasing. These devices facilitate seamless communication and coordination among first responders, improving the overall efficiency of disaster management operations. The emphasis on strengthening public safety measures is a significant factor contributing to fuel the market.

Impact of Artificial Intelligence (AI)

This dataset consists of data on the deaths due to different forces of nature/natural calamities as recorded in the Accidental Deaths and Suicides India report which records data for the calendar year. Data has also been compiled on the basis of gender. Data is available since 1990 or since the year when data recording for certain forces of nature began.

Note: Forces of Nature includes Avalanche, Cyclone, Earthquake, Epidemic, Exposure to cold, Flood, Floods, Forest Fire, Forest Fires, Heat or Sun Stroke, Heatstroke, Landslide, Landslides, Lightning, Other natural causes, Tornado, Torrential Rain, Torrential Rains and Tsunami etc.

1) Natural disaster events include avalanches, earthquakes, flooding, heavy rainfall & snowfall, and landslides & mudflows as recorded by OCHA field offices based on assessments in the field. 2) A natural disaster incident is defined as an event that has affected (i.e. impacted) people, who may or may not require humanitarian assistance. 3) The information includes assessment figures from OCHA, ANDMA, IOM, Red Crescent Societies, national NGOs, international NGOs, and ERM. 4) The number of affected people and houses damaged or destroyed are based on the reports received. These figures may change as updates are received.

The National Disaster inventory is a record of Natural Disasters including floods, thunderstorms, forest fires, mudslides and disease outbreaks etc. The inventory keeps track of the losses of life destruction of property and infrastructure, injury and displacement due to these incidents.

Content

This database is a collection of data over 23,000 US earthquakes. It contains data from the year 1638 to 1985. The digital database also includes information regarding epicentral coordinates, magnitudes, focal depths, names and coordinates of reporting cities (or localities), reported intensities, and the distance from the city (or locality) to the epicenter. The majority of felt reports are from the US but there is information about also some other countries such as Antigua and Barbuda, Canada, Mexico, Panama, and the Philippines.

Columns Description

Year Mo Da Hr Mn Sec The Date and Time are listed in Universal Coordinated Time and are Year, Month (Mo), Day (Da), Hour (Hr), Minute (Mn), Second (Sec)

UTC Conv Number of hours to subtract from the Date and Time given in Universal Coordinated Time to get local standard time for the epicenter. In general: 4 = 60 degree meridian (Atlantic Standard Time) 5 = 75 degree meridian (Eastern Standard Time) 6 = 90 degree meridian (Central Standard Time) 7 = 105 degree meridian (Mountain Standard Time) 8 = 120 degree meridian (Pacific Standard Time) 9 = 135 degree meridian (Alaska Standard Time) 10 = 150 degree meridian (Hawaii-Aleutian Standard Time)

U/G Unpublished or grouped intensity U = Intensity (MMI) assigned that was not listed in the source document. G = Intensity grouped I-III in the source document was reassigned intensity III.

EQ Lat / EQ Long This is the geographic latitude and longitude of the epicenter expressed as decimal numbers. The units are degrees. The latitude range is +4.0 to +69.0, where "+" designates North latitude (there are no South latitudes in the database). The longitude range is -179.0 to +180.0, where "-" designates West longitude and "+" designates East longitude. Most of the epicenters are West longitude (from -56 to -179), but a few epicenters in the Philippines and Aleutian Islands are East longitude (from +120 to +180).

Mag These are magnitudes as listed in United States Earthquakes, Earthquake History of the United States (either mb, MS, or ML), or the equivalent derived from intensities for pre-instrumental events. The magnitude is a measure of seismic energy. The magnitude scale is logarithmic. An increase of one in magnitude represents a tenfold increase in the recorded wave amplitude. However, the energy release associated with an increase of one in magnitude is not tenfold, but thirtyfold. For example, approximately 900 times more energy is released in an earthquake of magnitude 7 than in an earthquake of magnitude 5. Each increase in magnitude of one unit is equivalent to an increase of seismic energy of about 1,600,000,000,000 ergs.

Depth (km) Hypocentral Depth (positive downward) in kilometers from the surface.

Epi Dis Epicentral Distance in km that the reporting city (or locality) is located from the epicenter of the earthquake.

City Lat / City Long This is the geographic latitude and longitude of the city (or locality) where the Modified Mercalli Intensity was observed, expressed as decimal numbers. The units are degrees. The latitude range is +6.0 to +72.0, where "+" designates North latitude (there are no South latitudes in the database). The longitude range is -177.0 to +180.0, where "-" designates West longitude and "+" designates East longitude. Most of the reporting cities (or localities) are West longitude (from -29 to -177), but a few reporting cities (or localities) in the Philippines and Aleutian Islands are East longitude (from +119 to +180).

MMI Modified Mercalli Scale Intensity (MMI) is given in Roman Numerals. Values range from I to XII. (Roman Numerals were converted to numbers in the digital database. Values range from 1 to 12.) Macroseismic information is compiled from various sources including newspaper articles, foreign broadcasts, U.S. Geological Survey Earthquake reports and seismological station reports.

State Code Numerical i identifier for state, province, or country in which the earthquake was reported (felt) by residents: 01 Alabama 02 Alaska 03 Arizona 04 Arkansas 05 California 07 Colorado 08 Connecticut 09 Delaware 10 District of Columbia 11 Florida 12 Georgia 14 Hawaii 15 Idaho 16 Illinois 17 Indiana 18 Iowa 19 Kansas 20 Kentucky 21 Louisiana 22 Maine 23 Maryland 24 Massachusetts 25 Michigan 26 Minnesota 27 Mississippi 28 Missouri 29 Montana 30 Nebraska 31 Nevada 32 New Hampshire 33 New Jersey 34 New Mexico 35 New York 36 North Carolina 37 North Dakota 38 Ohio 39 Oklahoma 40 Oregon 41 Pennsylvania 42 Puerto Rico 43 Rhode Island 45 South Carolina 46 South Dakota 47 Tennessee 48 Texas 49 Utah 50 Vermont...

The HANZE dataset covers riverine, pluvial, coastal and compound floods that have occurred in 42 European countries between 1870 and 2020. The data was collected by extensive data-collection from more than 800 sources ranging from news reports through government databases to scientific papers. The dataset includes 2521 events characterized by at least one impact statistic: area inundated, fatalities, persons affected or economic loss. Economic losses are presented both in the original currencies and price levels as well as inflation and exchange-rate adjusted to 2020 value of the euro. The spatial footprint of affected areas is consistently recorded using more than 1400 subnational units corresponding, with minor exceptions, to the European Union’s Nomenclature of Territorial Units for Statistics (NUTS), level 3. Daily start and end dates, information on causes of the event, notes on data quality issues or associated non-flood impacts, and full bibliography of each record supplement the dataset. Apart from the possibility to download the data, the database can be viewed, filtered and visualized online: https://naturalhazards.eu. The dataset is designed to be complimentary to HANZE-Exposure, a high-resolution model of historical exposure changes (such as population and asset value), and be easily usable in statistical and spatial analyses.

The dataset contains the following files (CSV comma-delimited, UTF8, and ESRI shapefiles in zipped folders)

HANZE flood events database

HANZE_events.csv - Flood event data

HANZE_references.csv - List of all references

HANZE_events_regions_2010.zip - Flood event data as GIS file (regions v2010)

HANZE_events_regions_2021.zip - Flood event data as GIS file (regions v2021)

Supplementary data

S1_countries_codes_and_names.csv - Country codes/names

S2_regions_codes_and_names_v2010.csv - Region codes/names, v2010

S3_regions_codes_and_names_v2021.csv - Region codes/names, v2021

S4_list_of_all_currencies_by_country.csv - Data on all currencies used in the study area since 1870

S5_currency_conversion_rates.csv - Conversion rates applied to compute losses in 2020 euros

S6_GDP_deflators_by_country.csv - Gross domestic product deflator by country, 1870-2020

S7_floods_removed_from_HANZE.csv - Flood events in HANZE v1, which were excluded from v2

Regions_v2010_simplified.zip - Map of subnational regions used in the database, v2010

Regions_v2021_simplified.zip - Map of subnational regions used in the database, v2021

Note: this is a minor update of the original upload. It corrects the erroneous rendering of NUTS regions for event 2751, fixes some geometry problems with the GIS files and makes some small changes to the flood data (2 events were added and the regional codes for Kosovo in version 2021 were modified based on the upcoming NUTS 2024 classification).

This database contains summary information on 168 Canadian flood disasters that occurred between 1900 and June 1997. The database is not, by sany means, a complete list of flood events in Canada since the vast majority of the floods did not cause disasters. All mentions of damage costs have not been corrected for inflation. The database also is biased towards the more densely populated areas of Canada where floods are more likely to impact humans.

County Disaster Declaration detailed declaration records developed from FEMA Historic Disasters Declaration by County 1964 - 2013 for NSGIC resiliency project.NSGIC Data Citation:This project uses existing FEMA data resources that are the authoritative sources of information on this topic, including geospatial data files and open data APIs that were used to access available FEMA Federally-declared Natural Disaster data in the United States available from 1964 to 2014 (through 2013).To support our mapping needs, NSGIC downloaded a snapshot of FEMA data and published our own data Service Definitions and Feature Layers on NSGIC’s ArcGIS Online Mapping Platform to create the unfiltered Feature Layer Services we needed to support our mapping needs of the FEMA Federally Declared Disaster data.Note: These original data sources reflect a variety of inconsistencies and completeness is data collection, as well as changing definitions and priorities in FEMA’s disaster declaration information collection since record-keeping began in 1964. The original data was not modified.To publish the new Feature Layers on ArcGIS Online, NSGIC joined the FEMA Natural Disaster data with an Esri US County polygon shapefile with county population and demographic attributes from the U.S. Census Bureau’s American Community Survey. NSGIC added the 2010 and 2015 population estimates from the Census Bureau’s American Community Survey to relate the impacts of every declared natural disaster to current time frame.A significant portion of the available attribute data is not displayed in the NSGIC interactive maps, but is accessible through the site by experienced users.More recent data may be available from the original sourcesFEMA Data Citation:Data for this project was downloaded from FEMA in April 2016 and reflects the data available at that time using the available APIs.This product uses the Federal Emergency Management Agency’s API, but is not endorsed by FEMA.FEMA cannot verify the quality and/or timeliness of any data or any analysis derived therefrom after the data has been retrieved from FEMA.gov.NSGIC Data Citation:This project uses existing FEMA data resources that are the authoritative sources of information on this topic, including geospatial data files and open data APIs that were used to access available FEMA Federally-declared Natural Disaster data in the United States available from 1964 to 2014 (through 2013).To support our mapping needs, NSGIC downloaded a snapshot of FEMA data and published our own data Service Definitions and Feature Layers on NSGIC’s ArcGIS Online Mapping Platform to create the unfiltered Feature Layer Services we needed to support our mapping needs of the FEMA Federally Declared Disaster data.Note: These original data sources reflect a variety of inconsistencies and completeness is data collection, as well as changing definitions and priorities in FEMA’s disaster declaration information collection since record-keeping began in 1964. The original data was not modified.To publish the new Feature Layers on ArcGIS Online, NSGIC joined the FEMA Natural Disaster data with an Esri US County polygon shapefile and included the available county population and demographic attributes from the U.S. Census Bureau’s American Community Survey. A significant portion of the available attribute data is not displayed in the NSGIC interactive maps, but is accessible through the site by experienced users.More recent data may be available from the original sourcesFEMA Data Citation:Data for this project was downloaded from FEMA in April 2016 and reflects the data available at that time using the available APIs.This product uses the Federal Emergency Management Agency’s API, but is not endorsed by FEMA.FEMA cannot verify the quality and/or timeliness of any data or any analysis derived therefrom after the data has been retrieved from FEMA.gov.

This data-set shows the Number of people affected by Disasters in Kenya. It is based on the National Disaster inventory which is a record of Natural Disasters including floods, thunderstorms, forest fires, mudslides and disease outbreaks.

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.