EM-DAT

EM-DAT International Disaster Database (India filter)

EM-DAT is used to study disaster events—floods, cyclones, droughts, quakes—with India filters.

Registration requiredMedium
Host / institution

CRED / UCLouvain · Centre for Research on the Epidemiology of Disasters

Geography

India, subnational when coded

Time coverage

From 1900 (modern criteria stricter)

Update frequency

Continuous with periodic public releases

What this is best for

Comparable international disaster event series for floods, cyclones, droughts, and quakes in India

Main limitations

Entry thresholds; damages often incomplete; not a substitute for IMD event meteorology

Quick answers

Short research-facing answers derived from this catalog record.

What is EM-DAT India used for?
Comparable international disaster event series for floods, cyclones, droughts, and quakes in India
How do you access EM-DAT India data?
EM-DAT India is labeled “Registration required” on this guide. Open the access portal or documentation links on the record for the current host process—do not assume open download if registration or a DUA is required.
What geography and time does EM-DAT India cover?
Geography: India, subnational when coded. Time coverage: From 1900 (modern criteria stricter).
What are the main limitations of EM-DAT India?
Entry thresholds; damages often incomplete; not a substitute for IMD event meteorology

Guides for using this data

Official portals, user guides, codebooks, and tutorials for access and analysis.

1 link

Variables6

Representative fields from CRED / UCLouvain materials (confirm full dictionary on the official portal). Representative fields for the page table — verify the full dictionary on the official site.

Open official dictionary
Name / codeDescription
disaster typeDisaster type
datesDates
deathsDeaths
affected populationAffected population
damagesDamages
locationLocation
Formats

Excel extracts

Technical tags
disaster eventsregistration
Example uses
Typical research and analysis uses for this dataset

Disaster frequency/severity panels; climate impact correlators

Pairs well with

Many Indian data problems need survey + administrative combinations.