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Natural Disaster Impact Analysis 2024

Data Science and Analytics

Tags and Keywords

Disasters

Geography

Forecast

Risk

Analysis

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Natural Disaster Impact Analysis 2024 Dataset on Opendatabay data marketplace

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Free

About

Simulated data on global natural disasters for the year 2024 offers insights into potential catastrophic events. This tabular dataset contains essential details for each event, such as the type of disaster, its location, magnitude, and the resulting human and financial costs. It is designed for researchers, policymakers, and financial institutions to aid in disaster preparedness, risk assessment, trend analysis, and the development of predictive models. By understanding the potential effects of these events, users can make more informed decisions.

Columns

  • Disaster_ID: A unique integer identifier assigned to each disaster event.
  • Disaster_Type: The category of the natural disaster, such as Earthquake, Flood, or Fire.
  • Location: The country where the disaster occurred.
  • Magnitude: The intensity of the disaster measured on a scale of 1.0 to 10.0.
  • Date: The timestamp marking when the event happened.
  • Fatalities: The total number of deaths caused by the disaster.
  • Economic_Loss($): The estimated financial damages in US dollars.

Distribution

This dataset is provided in a single CSV file (natural_disasters_2024.csv) with a size of approximately 814 KB. It contains around 10,000 records, structured across 7 columns. There are no missing or mismatched values reported in the dataset.

Usage

Ideal applications for this dataset include:
  • Disaster Preparedness: Analysing potential disaster scenarios to improve emergency response strategies.
  • Risk Assessment: Evaluating the vulnerability of different regions to various types of natural disasters.
  • Trend Analysis: Identifying patterns and trends in disaster occurrences, magnitudes, and impacts.
  • Predictive Modelling: Developing models to forecast future disaster events and their potential consequences.
  • Data Visualisation: Creating geographical and statistical visualisations to understand the global impact of natural disasters.

Coverage

The dataset simulates natural disaster events occurring globally during the 2024-2025 period. Geographically, it includes events in multiple countries, with Brazil and India being among the most frequently mentioned locations. The time range for the recorded events spans from 1st January 2024 to 20th February 2025.

License

CC0: Public Domain

Who Can Use It

  • Researchers: For academic studies on disaster management, climate change, and risk analysis.
  • Policymakers and Government Agencies: To inform public safety policies and allocation of resources for disaster relief.
  • Financial Institutions and Insurers: To model risk and assess the financial impact of catastrophic events.
  • Data Scientists: For building and testing predictive models related to natural phenomena.

Dataset Name Suggestions

  • Simulated Global Natural Disasters 2024
  • 2024 Global Catastrophe Events Data
  • Natural Disaster Impact Analysis 2024
  • Forecasted Natural Disasters & Economic Loss
  • Worldwide Disaster Events Simulation 2024

Attributes

Listing Stats

VIEWS

3

DOWNLOADS

0

LISTED

24/09/2025

REGION

GLOBAL

Universal Data Quality Score Logo UDQSQUALITY

5 / 5

VERSION

1.0

Free

Download Dataset in CSV Format