EM-DAT Disaster Database

EM-DAT Disaster Database

MH Specific

Maharashtra Events — International disaster database recording natural and technological disasters in Maharashtra including floods, droughts, cyclones, and earthquakes since 1900

Build a disaster risk assessment model for Maharashtra using historical disaster frequency and impact data.
Homepage

Quick Start

# Download from https://www.emdat.be/
import pandas as pd
df = pd.read_csv('emdat_india.csv')
mh = df[df['Location'].str.contains('Maharashtra', na=False)]
print(f'Maharashtra disasters: {len(mh)}')
print(mh.groupby('Disaster_Type').size().sort_values(ascending=False))
Modality
Tabular (Excel)
Size
Event-level, 1900–present
License
Format
CSV
Language
en
Update Frequency
static
Organization
Centre for Research on the Epidemiology of Disasters (CRED)

Schema

FieldTypeDescription
countrystringCountry name
disaster_typestringType of disaster (flood, drought, etc.)
locationstringAffected location description
total_deathsintTotal deaths reported
total_affectedintTotal people affected
yearintDisaster year

Build With This

Create a Maharashtra disaster preparedness index combining historical disaster data with current vulnerability indicators
Develop a disaster insurance pricing model using historical loss data for Maharashtra regions
Build a climate change impact tracker showing how disaster frequency and severity changed over decades in Maharashtra

AI Use Cases

Disaster risk assessmenthistorical loss modellingclimate adaptation planning
Last verified: 2026-03-07