The Pacific Catastrophe Risk Assessment and Financing Initiative (PCRAFI) aims to provide the Pacific Island Countries (PICs) with disaster risk modeling and assessment tools. It also aims to engage in a dialogue with the PICs on integrated financial solutions for the reduction of their financial vulnerability to natural disasters and to climate change. The initiative is part of the broader agenda on disaster risk management and climate change adaptation in the Pacific region. Additionally, the Pacific Disaster Risk Assessment Project provides 15 countries with disaster risk assessment tools to help them better understand, model, and assess their exposure to natural disasters.

In 2023, there was a global protection gap of 262 U.S. dollars for natural disasters worldwide. The estimated economic loss of natural disasters worldwide was 380 billion U.S. dollars, while the estimated insured loss amounted to 118 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.

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

The WorldRiskReport is an annual technical report on global disaster risks. The yearly issues of the WorldRiskReport focus on varying critical topics related to disaster risk management and are published in German and English. The report includes the WorldRiskIndex, which identifies the risk of an extreme natural event becoming a disaster for numerous countries worldwide.

The WorldRiskIndex uses 27 aggregated, publicly available indicators to determine disaster risk for 181 countries worldwide. Conceptually, the index is composed of exposure to extreme natural hazards and the societal vulnerability of individual countries. Earthquakes, cyclones, floods, droughts, and climate-induced sea-level rise are considered in the exposure analysis. Societal vulnerability is divided into susceptibility to extreme natural events, lack of coping capacities, and lack of adaptive capacities. All index components are scaled to the value range from 0 to 100. The higher a country's index score on the WorldRiskIndex, the higher its national disaster risk.

The dataset consists of 11 years data of multiple countries with features including: - Region - WRI - Exposure - Vulnerability - Susceptibility - Lack of Coping Capabilities - Lack of Adaptive Capabilities - Year - WRI Category - Exposure Category - Vulnerability Category - Susceptibility Category

Acknowledgment

This Dataset is created from https://weltrisikobericht.de/weltrisikobericht-2021-e/. If you want to learn more, you can visit the Website.

According to Cognitive Market Research, the global natural catastrophes insurance market size will be USD XX million in 2024. It will expand at a compound annual growth rate (CAGR) of 21.20% from 2024 to 2031.

North America held the major market of more than 40% of the global revenue with a market size of USD XX million in 2024 and will grow at a compound annual growth rate (CAGR) of 19.4% from 2024 to 2031.
Europe accounted for over 30% of the global USD XX million market size.
Asia Pacific held a market of around 23% of the global revenue with a market size of USD XX million in 2024 and will grow at a compound annual growth rate (CAGR) of 23.2% from 2024 to 2031.
The Latin America market will account for more than 5% of global revenue and will be USD XX million in 2024, growing at a compound annual growth rate (CAGR) of 20.6% from 2024 to 2031.
The Middle East and Africa held the major markets, accounting for around 2% of the global revenue. The market was USD XX million in 2024 and will grow at a compound annual growth rate (CAGR) of 20.9% from 2024 to 2031.
The brokers held the highest natural catastrophe insurance market revenue share in 2024.

Market Dynamics of Natural Catastrophes Insurance Market

Key Drivers of Natural Catastrophes Insurance Market

Technological Advancements in Risk Modeling and Assessment Drives Market Growth

Technological advancements are pivotal in driving growth within the natural catastrophes insurance market. With the advent of sophisticated risk modeling and assessment tools, insurers can better understand and quantify the potential impacts of natural disasters. These advancements enable insurers to assess risk levels more accurately, set appropriate premiums, and develop tailored insurance products to meet clients' evolving needs. Moreover, technology facilitates the integration of vast datasets, including historical weather patterns, geological data, and socio-economic factors, into risk models. This enhanced data analytics capability enables insurers to identify emerging trends and anticipate potential catastrophes more effectively. By leveraging advanced predictive analytics and machine learning algorithms, insurers can improve underwriting processes, streamline claims management, and enhance operational efficiency. As a result, technological innovation drives market growth and contributes to the resilience of communities and businesses in the face of natural disasters.

Regulatory Changes Affecting Insurance Requirements Propel Market Growth

Regulatory changes are pivotal in driving growth within the natural catastrophes insurance market. As governments worldwide implement stricter regulations regarding insurance coverage for natural disasters, insurers must adapt their offerings to meet these new requirements. These changes often involve mandates for increased coverage limits, expanded geographic coverage areas, or enhanced resilience measures, all contributing to a higher demand for insurance products. Moreover, regulatory frameworks frequently incentivize insurers to develop innovative solutions to mitigate the financial impact of natural catastrophes. This drive for innovation fosters the development of new risk assessment models, sophisticated underwriting techniques, and the creation of specialized insurance products tailored to address specific types of natural disasters. As a result, the natural catastrophe insurance market continues to evolve in response to regulatory pressures, ultimately driving growth and ensuring greater financial protection for individuals, businesses, and communities vulnerable to the impacts of such events.

Restraint Factors Of Natural Catastrophes Insurance Market

Limited Historical Data for Emerging Risks Hampers Market Growth

The natural catastrophes insurance market faces significant challenges due to limited historical data for emerging risks. As climate change introduces new and evolving hazards, insurers need robust historical data to accurately inform their model to assess and price these risks. This limitation inhibits the development of comprehensive risk management strategies and may lead to underestimation of potential losses, exposing insurers to greater financial volatility. Furthermore, the absence of historical data for emerging risks complicates insurers' ability to communicate risk to policyholders and regulators effectively. With a clea...

Description

Dataset created for Master's thesis "Detection of Catastrophic Events from Social Media" at the Slovak Technical University Faculty of Informatics. Contains posts from social media that are split into two categories:

Informative - related and informative in regards to natural disasters Non-Informative - unrelated to natural disasters

Other metadata include event type, source dataset etc. To balance classes, 50k tweets from twitter archive for years 2017-2022 were… See the full description on the dataset page: https://huggingface.co/datasets/melisekm/natural-disasters-from-social-media.

As of 2023, Hurricane Katrina - which struck the United States in August 2005 - remained the most expensive insured loss event since 1900, as it incurred insured losses amounting to over 100 billion U.S. dollars. Insuring against natural disasters Insuring is the practice of transferring risk from one entity to another in exchange for payment. It is important, especially if one lives, owns property or a business in an area prone to natural disasters, to take out coverage for a range of storms, catastrophic events and natural disasters that could cause damage to real estate. When considering this type of insurance it is important to ask a lot of the important questions up front. How long will it take for a claim to be settled for example, not all insurers settle claims with the same speed. Many also provide specific exclusions, be they for floods, earthquakes or other types of natural events. A detailed inspection of exclusions in a policy is important in order to find out which coverage is still needed. Obviously, the extent of coverage that one should take out is wholly dependent on the area in which one lives, in the United States, as well as in the rest of the world, there are low risk areas and there are high risk areas. Despite this, no one can be sure where a natural disaster will occur and the severity of the destruction it could bring with it when it does, no one can stop natural disasters or the economic impact that they have but insurance helps to mitigate the loss caused by them.

Catastrophe Insurance Market Outlook

The global catastrophe insurance market is poised for substantial growth, with a market size of USD 101.2 billion projected in 2023 and forecasted to reach approximately USD 185.3 billion by 2032, driven by a compound annual growth rate (CAGR) of 6.8% during the forecast period. This robust growth is primarily attributed to the increasing frequency and severity of natural disasters, coupled with rising awareness about the importance of risk management and financial protection against such catastrophic events. The market is also benefiting from advancements in technology and data analytics, which are enabling insurers to better assess risks and offer more comprehensive and tailored insurance solutions to meet the evolving needs of consumers and businesses alike.

One of the key growth factors driving the catastrophe insurance market is the heightened awareness and understanding of the financial implications of natural and man-made disasters. The increasing occurrence of catastrophic events such as hurricanes, earthquakes, floods, and wildfires has led to significant economic losses worldwide. Governments and businesses alike are recognizing the need for adequate insurance coverage to mitigate these financial risks. Moreover, the rising urbanization and demographic shifts are contributing to greater exposure to disaster-prone areas, further emphasizing the necessity of catastrophe insurance. The growing emphasis on building resilience against climate change impacts is also spurring demand for such insurance products, as stakeholders seek to fortify their financial standing in the face of potential disruptions.

Technological advancements are playing a crucial role in the expansion of the catastrophe insurance market. The incorporation of big data analytics, artificial intelligence, and machine learning into risk assessment and underwriting processes is enhancing insurers' ability to predict and manage risks more effectively. These technologies are enabling the development of more accurate risk models and the identification of emerging risk patterns, thereby facilitating more informed decision-making and pricing strategies. Additionally, the implementation of blockchain technology in claims processing is streamlining operations and improving customer satisfaction by reducing processing times and enhancing transparency. The integration of these technological innovations is not only boosting operational efficiency but also encouraging the development of more innovative and customized insurance products.

Another significant factor contributing to market growth is the increasing collaboration between governments and insurance companies to enhance disaster preparedness and response capabilities. Public-private partnerships are being formed to promote the penetration of catastrophe insurance, particularly in developing regions where insurance coverage is often limited. Governments are also incentivizing the adoption of insurance through regulatory measures and subsidies, which is fostering market expansion. Furthermore, international organizations and development agencies are actively supporting initiatives aimed at increasing access to affordable catastrophe insurance, particularly for vulnerable populations, thereby contributing to market growth. These collaborations are crucial for building a more resilient global economy and reducing the financial burden of disasters on individuals and communities.

Reinsurance Carriers play a pivotal role in the catastrophe insurance market by providing essential support to primary insurers in managing large-scale risks associated with natural and man-made disasters. These carriers offer a financial safety net that allows insurers to underwrite policies with higher limits and broader coverage, thereby enhancing their capacity to absorb significant losses. By spreading risk across a global network, reinsurance carriers help stabilize the insurance market, ensuring that primary insurers remain solvent and capable of fulfilling their obligations to policyholders. This collaboration is crucial, particularly in the face of increasing frequency and severity of catastrophic events, as it enables insurers to maintain competitive pricing and offer innovative products that meet the evolving needs of consumers and businesses.

The regional outlook for the catastrophe insurance market indicates significant growth potential across various geographies. North America, with its advanced insurance infrastructure and high incidence of natural disasters, is expected to mainta

Major reinsurance losses and those due to natural catastrophe losses of the Munich Re Group fluctuated significantly between 2008 and 2023. Munich Re, one of the world's leading reinsurers, is a German company based in Munich. In 2023, the reinsurance losses of Munich Re due to natural disasters amounted to around 2.3 billion euros - slightly higher than the value obtained the previous year. At the same time, the net major reinsurance losses of Munich Re amounted to approximately 3.28 billion euros.

This dataset is about books and is filtered where the book is The cure for catastrophe : how we can stop manufacturing natural disasters, featuring 7 columns including author, BNB id, book, book publisher, and ISBN. The preview is ordered by publication date (descending).

Disaster is a dataset that contains images collected from various sources for three different disasters: fire, water and land. Besides this, it also contains images for various damaged infrastructure due to natural or man made calamities and damaged human due to war or accidents.

There are 13,720 manually annotated images in this dataset, each image is annotated by three individuals. The authors are also providing discriminating image class information annotated manually with bounding box for a set of 200 test images. Images are collected from different news portals, social media, and standard datasets made available by other researchers.

Earthquake Reports Features a summary of all significant earthquake activity including earthquake magnitude, depth, and location. Reports are sent out as they occur. Clients also have the ability to map the earthquake data in real-time.

CustomWeather can deliver historical earthquake data going back two weeks.

We also provide more sophisticated Earthquake data:

1. All Earthquakes during the past 10 days.

2. Earthquake information based on various magnitude intensities.

3. Earthquake occurring within a certain geographic boundary.

This natural disasters data is part of CustomWeather's comprehensive data offerings, covering the entire life cycle of weather - past, present, and future. This event data is available globally.

CustomWeather's Real-Time Earthquake Reports serve the following categories: Environmental Data, Event Data, Geographic Data, Map Data, Natural Disasters Data, and Place Data.

The EM-DAT - Country Profiles dataset provides aggregated figures for natural disasters in EM-DAT, which is the Emergency Events Database, maintained by the Centre for Research on the Epidemiology of Disasters (CRED). The dataset includes data on the number of disasters, the total number of people affected, the total number of deaths, and economic losses (original value and adjusted) for different disaster subtypes for each country and year. The dataset contains information on natural disasters from around the world.

Columns:

• Year: The year in which the disaster occurred.
• Country: The country where the disaster occurred.
• Disaster Subtype: The type of disaster (e.g., flood, earthquake, storm, drought).
• Number of Disasters: The total number of disasters that occurred in a given year for a specific country and disaster subtype.
• Total Affected: The total number of people affected by the disaster in a given year for a specific country and disaster subtype.
• Total Deaths: The total number of deaths resulting from the disaster in a given year for a specific country and disaster subtype.
• Total Economic Losses (Original): The total economic losses resulting from the disaster, in the original currency of the country, in a given year for a specific country and disaster subtype.
• Total Economic Losses (Adjusted): The total economic losses resulting from the disaster, adjusted for inflation and expressed in 2019 US dollars, in a given year for a specific country and disaster subtype.

Data volume:

The dataset contains multiple rows of data for each combination of year, country, and disaster subtype, spanning from 1900 to 2022. The dataset has a total of 47,682 rows and 8 columns.

Source:

The dataset is sourced from the Centre for Research on the Epidemiology of Disasters (CRED), which is part of the University of Louvain in Brussels, Belgium.

Original Data

Acknowlegement

Foto von Tetiana Grypachevska auf Unsplash

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. This accession is updated quarterly.

This paper traces the yearly response of gross domestic product growth-both aggregated and disaggregated into its agricultural and non-agricultural components-to four types of natural disasters: droughts, floods, earthquakes, and storms. The paper uses a methodological approach based on pooling the experiences of various countries over time. It consists of vector autoregressions in the presence of endogenous variables and exogenous shocks (VARX), applied to a panel of cross-country and time series data. The analysis finds heterogeneous effects on a variety of dimensions. First, the effects of natural disasters are stronger on developing than on advanced countries. Second, not all natural disasters are alike in terms of the growth response they induce, and some can even have positive effects on economic growth. Third, severe disasters often carry much worse effects than moderate effects do. Fourth, the timing of the growth response varies with both the type of natural disaster and the sector of economic activity.

Business Catastrophe Insurance Market Outlook

The global business catastrophe insurance market size was valued at approximately USD 45 billion in 2023 and is projected to reach around USD 78 billion by 2032, growing at a compound annual growth rate (CAGR) of 6.2% during the forecast period. The growth factors contributing to this impressive expansion include the increasing frequency and severity of natural disasters, the escalating risk of cyber threats, and a growing awareness among enterprises regarding the importance of securing their business operations against unforeseen catastrophic events. As businesses become more globalized and interconnected, the potential impact of catastrophic events on operations, revenue, and reputation has intensified, driving a surge in demand for comprehensive insurance solutions tailored to address a diversity of risks.

A significant growth driver for the business catastrophe insurance market is the rising incidence of natural disasters due to climate change. Events such as hurricanes, floods, wildfires, and earthquakes are becoming more frequent and severe, prompting businesses to seek insurance coverage that can safeguard their assets and ensure business continuity. The financial repercussions of these disasters can be devastating, leading to substantial property damage and business interruption. Companies are increasingly recognizing the need for catastrophe insurance as a critical component of their risk management strategy, not only to protect against potential losses but also to enhance their resilience in the face of environmental uncertainties.

Another pivotal growth factor is the heightened vulnerability of businesses to cyber threats. As digital transformation sweeps across industries, cyber risks have emerged as a formidable threat, capable of inflicting significant financial and reputational damage. Cyber-attacks, data breaches, and system failures can cripple business operations, leading to loss of productivity and customer trust. In response to these emerging threats, insurers are expanding their catastrophe insurance offerings to include coverage for cyber-related incidents. This trend is particularly pronounced in sectors that are heavily reliant on digital infrastructure, such as IT and telecommunications, healthcare, and finance, where the potential impact of a cyber catastrophe is immense.

The evolving regulatory landscape also plays a crucial role in driving the business catastrophe insurance market. Governments and regulatory bodies around the world are increasingly mandating businesses to have robust risk management frameworks in place, which include adequate insurance coverage against catastrophic events. This has been particularly evident in sectors like construction and manufacturing, where stringent safety regulations necessitate comprehensive insurance solutions. Furthermore, the integration of advanced technologies such as artificial intelligence and data analytics in the insurance industry is enhancing risk assessment and underwriting processes, enabling insurers to offer more tailored and cost-effective catastrophe insurance products.

Coverage Type Analysis

In the realm of business catastrophe insurance, the coverage type segment encompasses several critical categories, namely property damage, business interruption, liability coverage, and others. Property damage insurance is perhaps the most foundational component of catastrophe insurance, as it provides the necessary protection for physical assets against disasters such as fires, floods, earthquakes, and other unforeseeable events. This coverage is crucial for businesses with significant investments in real estate, machinery, and inventory, ensuring that these assets can be repaired or replaced promptly in the wake of a catastrophe. The robustness and comprehensiveness of property damage policies have been a significant driver of growth in this segment.

Business interruption insurance is another vital aspect of catastrophe coverage that has gained substantial traction. This type of insurance compensates businesses for the loss of income that results from disruptions to their operations due to catastrophic events. The insurance covers operating expenses, payroll, and other financial obligations during the period of interruption, providing businesses with the financial resilience needed to navigate through recovery phases. The increasing prevalence of natural and human-made disruptions has propelled the demand for business interruption insurance, particularly among industries with complex supply chains and reliance on continuous operations, such as manufacturing and retail.

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.

The disaster data set from the early 20th century to 2021 was collected by www.emdat.be – Université Catholique de Louvain – Brussels – Belgium and encrypted. The dataset includes 2738 records and associated attributes. They detailed the damage and location as well as the type of disaster.

Annual list of declarations of state of natural disaster in Digne-les-Bains. The file allows you to know the date of the declaration, the type of disaster and the geographical area concerned. The compressed file can extract data in XLS, ODS and CSV format: * DIGNIFIED-NATURAL DISASTER-2016 * DIGNIFIED-CATASTROPHE-NATURAL-2017 * DIGNIFIED-CATASTROPHE-NATURAL-2018