scientificnatural-disastersclimateearthquakesfloodsstormsglobalhistoricalhumanitariangeospatialrisk-analysis

Worldwide Historical Natural Disaster Events

1970–2024

Free

Open dataset

Sample structure: 97.9 / 100

6 download links issued

Seller: waseemahmad

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Source, license and coverage

Supplier documentation. These claims are separate from the automated sample score. A listing edit date is not a data freshness date.

License: Not documented — confirm reuse terms with the seller
Source / creator: Supplier-cited: USGS; NOAA NCEI
Collection method: uploaded
Coverage / snapshot: 1970–2024
Data last updated: Not documented
Update schedule: Not documented

Source documentation ↗

Source attribution is supplier-reported. The source link identifies publisher documentation; it does not independently verify this uploaded extract. Other cited publishers: NOAA NCEI: https://www.ncei.noaa.gov/ Coverage is stated by the supplier; it has not been verified against every record in the full file.

Sample structure score: 97.9 / 100

This automated check describes the inspected sample, not factual accuracy, legal rights, representativeness, or the quality of the entire dataset. It is not a customer rating.

Assessed 10 sample records (CSV) on 2026-10-09. All records in the provided sample were checked.

Check	Points	Evidence
Populated cells	47.9 / 50	201 of 210 top-level cells contain a value. Null, absent and blank values count as missing; zero and false count as populated.
Consistent value types	30 / 30	201 of 201 populated cells match their column's most common observed type. Types are inferred, not checked against real-world truth.
Consistent record shape	20 / 20	10 of 10 records have the expected fields. CSV/TSV use the header width; JSON uses the union of observed keys.

Field-level findings and improvements

Check missing cells and mixed types below. Document intentional missing values or mixed types in your field descriptions. Do not fill legitimate unknowns with invented values just to increase this score.

Field	Missing cells	Most common type	Other populated types
event_id	0 / 10	string	0 / 10
year	0 / 10	number	0 / 10
start_date	0 / 10	string	0 / 10
end_date	0 / 10	string	0 / 10
disaster_type	0 / 10	string	0 / 10
disaster_subtype	0 / 10	string	0 / 10
severity_index	0 / 10	number	0 / 10
magnitude_value	9 / 10	number	0 / 1
country	0 / 10	string	0 / 10
continent	0 / 10	string	0 / 10
subregion	0 / 10	string	0 / 10
latitude	0 / 10	number	0 / 10
longitude	0 / 10	number	0 / 10
fatalities	0 / 10	number	0 / 10
injuries	0 / 10	number	0 / 10
total_affected	0 / 10	number	0 / 10
displaced	0 / 10	number	0 / 10
economic_damage_millions_usd	0 / 10	number	0 / 10
duration_days	0 / 10	number	0 / 10
response_level	0 / 10	string	0 / 10
data_source	0 / 10	string	0 / 10

How the score is calculated, its limitations, and how to correct an assessment →

About this data

10,639 natural disaster events from 100 countries spanning floods, storms, earthquakes, droughts, wildfires, volcanic eruptions, landslides, extreme temperature events, and epidemics. Records include event date range, disaster type and subtype, severity index, magnitude, geographic coordinates, fatalities, injuries, affected population, displaced persons, economic damage in USD millions, duration, humanitarian response level, and source attribution.

Retrieve with your agent or Python

Create an account and configure DATABAZAAR_API_KEY. This example retrieves free or already purchased data; it never makes a purchase. For a multi-file dataset, choose a file index from the manifest.

Download the Python example

python3 retrieve-dataset.py b454b975-4c45-4761-abd5-6b471610efbc --output dataset.bin

Full supplier documentation

Original supplier listing: Worldwide Historical Natural Disaster Events (1970–2024) Granular dataset of 10,639 natural disaster events worldwide from 1970 to 2024, covering 100 countries across all continents. Includes floods, storms, earthquakes, droughts, wildfires, volcanic eruptions, landslides, extreme temperature events, and epidemics. Each record contains 21 fields: event ID, date range, disaster type and subtype, severity index (1–10), magnitude (for seismic/volcanic events), geographic coordinates, country/continent/subregion, fatalities, injuries, total affected population, displaced persons, economic damage (millions USD), duration, humanitarian response level, and data source attribution. Data synthesized from multiple authoritative sources including EM-DAT, NOAA, USGS, WHO, IFRC, ReliefWeb, and GDACS. Suitable for climate risk analysis, humanitarian planning, insurance modeling, disaster preparedness research, and geospatial visualization.

Schema

Name	Type	Description
event_id	string
year	string
start_date	string
end_date	string
disaster_type	string
disaster_subtype	string
severity_index	string
magnitude_value	string
country	string
continent	string
subregion	string
latitude	string
longitude	string
fatalities	string
injuries	string
total_affected	string
displaced	string
economic_damage_millions_usd	string
duration_days	string
response_level	string
data_source	string

Sample Data

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For AI Agents

Via MCP Server

# 1. Add to your agent's MCP config (claude_desktop_config.json or similar):
{
  "mcpServers": {
    "databazaar": { "command": "npx", "args": ["databazaar-mcp"] }
  }
}

# 2. Your agent can then call:
search_datasets({ query: "Worldwide Historical Natural D" })
// Found: b454b975-4c45-4761-abd5-6b471610efbc
get_download_url({ dataset_id: "b454b975-4c45-4761-abd5-6b471610efbc" })  // free — sign in with MCP OAuth first

Via REST API

# Free dataset — sign in or use your account API key:
curl https://api.databazaar.io/datasets/b454b975-4c45-4761-abd5-6b471610efbc/download-url -H "Authorization: Bearer $DATABAZAAR_API_KEY"