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National Disaster Risk Factors
Data Science and Analytics
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About
This dataset provides insights into global disaster risks, offering an annual technical report on the subject. It features the WorldRiskIndex, designed to identify the likelihood of an extreme natural event escalating into a disaster for numerous countries across the globe. The index is constructed from 27 aggregated, publicly available indicators that assess disaster risk for 181 countries worldwide. Conceptually, it combines a country's exposure to extreme natural hazards with its societal vulnerability. Exposure factors include earthquakes, cyclones, floods, droughts, and climate-induced sea-level rise. Societal vulnerability is further broken down into susceptibility to extreme natural events, insufficient coping capacities, and limited adaptive capacities. All components of the index are scaled from 0 to 100, where a higher score indicates a greater national disaster risk. The dataset encompasses eleven years of data for various countries, allowing for temporal analysis of risk patterns.
Columns
- Region: The geographical area or name of the country.
- WRI: The World Risk Score assigned to the region, indicating its overall disaster risk.
- Exposure: A numerical value representing the risk or exposure to natural hazards such as earthquakes, hurricanes, floods, droughts, and sea-level rise.
- Vulnerability: A decimal value reflecting a region's vulnerability, influenced by its infrastructure, nutrition, housing situation, and economic conditions.
- Susceptibility: This decimal quantifies a region's susceptibility based on factors like infrastructure, nutrition, housing, and economic frameworks.
- Lack of Coping Capabilities: A decimal score indicating the absence or inadequacy of coping mechanisms, considering governance, preparedness, early warning systems, medical care, and social and material security.
- Lack of Adaptive Capacities: A decimal measuring the deficit in adaptive capabilities, particularly in relation to impending natural events, climate change, and other challenges.
- Year: The specific year for which the data is recorded.
- WRI Category: A categorical label (e.g., Very Low, Very High) derived from the WRI Score.
- Exposure Category: A categorical label based on the Exposure Score.
- Vulnerability Category: A categorical label based on the Vulnerability Score.
- Susceptibility Category: A categorical label based on the Susceptibility Score.
Distribution
The dataset is typically provided in a CSV data file, with sample files updated separately. The
world_risk_index.csv file has a size of 148.41 kB and contains 12 columns. It holds eleven years of data, featuring approximately 1917 records for most columns, although a few columns may have a minimal number of missing values.Usage
This dataset is ideal for:
- Predicting the next disaster risk index for individual countries.
- Performing data analytics to uncover trends and patterns in global disaster risks.
- Conducting time series analysis to observe changes in risk factors over the eleven-year period.
- Engaging in geospatial analysis to map and understand regional disparities in disaster risk.
- Informing policy-making and strategic planning for disaster risk reduction and management.
- Academic research into environmental hazards, societal resilience, and climate change impacts.
Coverage
The dataset covers 181 countries worldwide, providing data for multiple regions. The time range spans eleven years, specifically from 2011 through to 2021. While not demographic in the traditional sense, the data incorporates aspects of societal vulnerability pertinent to populations within these countries.
License
CC0: Public Domain
Who Can Use It
This dataset is suitable for a wide range of users, including:
- Researchers and academics studying disaster risk management, climate change, and international development.
- Government agencies and policymakers involved in national and international disaster preparedness and response.
- Non-governmental organisations (NGOs) focused on humanitarian aid, risk reduction, and community resilience building.
- Data analysts and modellers interested in predictive analytics and statistical insights into global hazards.
- Students undertaking projects related to geography, environmental science, public policy, and risk assessment.
Dataset Name Suggestions
- World Disaster Risk Index Data
- Global Country Risk Report
- Annual Disaster Vulnerability Database
- WorldRiskReport Analytics Dataset
- National Disaster Risk Factors
Attributes
Original Data Source: National Disaster Risk Factors
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