Natural disaster human and economic impact panel

Usage commercial OKÀ jourLicence: CC-BY-4.0

Le jeu complet n’est pas encore publié — revenez après la prochaine actualisation.Télécharger l'exemple CSV Télécharger l'exemple JSONLignes d’exemple seulement (jusqu’à 20) — pas le jeu de données complet.

Value-added panel of EM-DAT via Our World in Data (keyless grapher CSVs, CC BY 4.0): annual deaths, people affected (injured + requiring assistance + homeless), and economic damages as a share of GDP for 200+ countries, 2000 onward — each split across eight disaster types (drought, earthquake, volcano, flood, landslide, storm, wildfire, extreme temperature), with the deadliest and costliest disaster type per country-year. The physical-risk layer for climate, insurance and sovereign-risk models; joins on country_code with the catalog's other country-year panels.

Les titres et les descriptions proviennent des sources de données, en anglais.

Source: EM-DAT natural disaster impact intelligence
Lignes: 3 141
Colonnes: 33
Cadence de la source: Annuelle
Dernière actualisation: 5 oct. 2026
Thème: environment

Colonne	Type	Description
country_code	string	ISO 3166-1 alpha-3 country code, uppercase. OWID regional/income aggregates (OWID_* codes) are excluded.
country_name	string	Country name as published by Our World in Data.
year	integer	Reference year. The panel covers 2000 onward; the source notes pre-2000 coverage is limited and trends partly reflect reporting improvements.
deaths_total	integer	Annual deaths from all natural disasters (EM-DAT recorded events). Equals the sum of the eight type columns. (unit: deaths)
deaths_drought	integer	Annual deaths from drought (EM-DAT recorded events). Blank in the source (no recorded events of this type) is stored as 0, matching the source's own 'All disasters' total. (unit: deaths)
deaths_earthquake	integer	Annual deaths from earthquake (EM-DAT recorded events). Blank in the source (no recorded events of this type) is stored as 0, matching the source's own 'All disasters' total. (unit: deaths)
deaths_volcano	integer	Annual deaths from volcano (EM-DAT recorded events). Blank in the source (no recorded events of this type) is stored as 0, matching the source's own 'All disasters' total. (unit: deaths)
deaths_flood	integer	Annual deaths from flood (EM-DAT recorded events). Blank in the source (no recorded events of this type) is stored as 0, matching the source's own 'All disasters' total. (unit: deaths)
deaths_landslide	integer	Annual deaths from landslide (EM-DAT recorded events). Blank in the source (no recorded events of this type) is stored as 0, matching the source's own 'All disasters' total. (unit: deaths)
deaths_storm	integer	Annual deaths from storm (EM-DAT recorded events). Blank in the source (no recorded events of this type) is stored as 0, matching the source's own 'All disasters' total. (unit: deaths)
deaths_wildfire	integer	Annual deaths from wildfire (EM-DAT recorded events). Blank in the source (no recorded events of this type) is stored as 0, matching the source's own 'All disasters' total. (unit: deaths)
deaths_extreme_temperature	integer	Annual deaths from extreme temperature (EM-DAT recorded events). Blank in the source (no recorded events of this type) is stored as 0, matching the source's own 'All disasters' total. (unit: deaths)
affected_total	integer	Annual people affected by all natural disasters — injured + requiring assistance + left homeless. Equals the sum of the eight type columns. (unit: people)
affected_drought	integer	Annual people affected by drought — injured + requiring assistance + left homeless. Blank in the source is stored as 0, matching the source's own 'All disasters' total. (unit: people)
affected_earthquake	integer	Annual people affected by earthquake — injured + requiring assistance + left homeless. Blank in the source is stored as 0, matching the source's own 'All disasters' total. (unit: people)
affected_volcano	integer	Annual people affected by volcano — injured + requiring assistance + left homeless. Blank in the source is stored as 0, matching the source's own 'All disasters' total. (unit: people)
affected_flood	integer	Annual people affected by flood — injured + requiring assistance + left homeless. Blank in the source is stored as 0, matching the source's own 'All disasters' total. (unit: people)
affected_landslide	integer	Annual people affected by landslide — injured + requiring assistance + left homeless. Blank in the source is stored as 0, matching the source's own 'All disasters' total. (unit: people)
affected_storm	integer	Annual people affected by storm — injured + requiring assistance + left homeless. Blank in the source is stored as 0, matching the source's own 'All disasters' total. (unit: people)
affected_wildfire	integer	Annual people affected by wildfire — injured + requiring assistance + left homeless. Blank in the source is stored as 0, matching the source's own 'All disasters' total. (unit: people)
affected_extreme_temperature	integer	Annual people affected by extreme temperature — injured + requiring assistance + left homeless. Blank in the source is stored as 0, matching the source's own 'All disasters' total. (unit: people)
damages_gdp_share_total	float	Annual economic damages from all natural disasters as a share of GDP (percent, not USD). Null where GDP data is unavailable. (unit: percent of GDP)
damages_gdp_share_drought	float	Annual economic damages from drought as a share of GDP (percent, not USD). Blank in the source is stored as 0 where the damages row exists; null where GDP data is unavailable. (unit: percent of GDP)
damages_gdp_share_earthquake	float	Annual economic damages from earthquake as a share of GDP (percent, not USD). Blank in the source is stored as 0 where the damages row exists; null where GDP data is unavailable. (unit: percent of GDP)
damages_gdp_share_volcano	float	Annual economic damages from volcano as a share of GDP (percent, not USD). Blank in the source is stored as 0 where the damages row exists; null where GDP data is unavailable. (unit: percent of GDP)
damages_gdp_share_flood	float	Annual economic damages from flood as a share of GDP (percent, not USD). Blank in the source is stored as 0 where the damages row exists; null where GDP data is unavailable. (unit: percent of GDP)
damages_gdp_share_landslide	float	Annual economic damages from landslide as a share of GDP (percent, not USD). Blank in the source is stored as 0 where the damages row exists; null where GDP data is unavailable. (unit: percent of GDP)
damages_gdp_share_storm	float	Annual economic damages from storm as a share of GDP (percent, not USD). Blank in the source is stored as 0 where the damages row exists; null where GDP data is unavailable. (unit: percent of GDP)
damages_gdp_share_wildfire	float	Annual economic damages from wildfire as a share of GDP (percent, not USD). Blank in the source is stored as 0 where the damages row exists; null where GDP data is unavailable. (unit: percent of GDP)
damages_gdp_share_extreme_temperature	float	Annual economic damages from extreme temperature as a share of GDP (percent, not USD). Blank in the source is stored as 0 where the damages row exists; null where GDP data is unavailable. (unit: percent of GDP)
deadliest_disaster_type	string	Disaster type with the most deaths in the country-year.
costliest_disaster_type	string	Disaster type with the largest damages share of GDP in the country-year.
row_hash	string	Deterministic 12-hex row identity hash (country_code\|year).

10 premières lignes d’exemple — un aperçu, pas le jeu de données complet.

country_code	country_name	year	deaths_total	deaths_drought	deaths_earthquake	deaths_flood	deaths_landslide	deaths_storm	deaths_extreme_temperature	affected_total	affected_drought	affected_earthquake	affected_flood	affected_landslide	affected_storm	affected_extreme_temperature	damages_gdp_share_total	damages_gdp_share_drought	damages_gdp_share_earthquake	damages_gdp_share_flood	damages_gdp_share_storm	deadliest_disaster_type	costliest_disaster_type	row_hash
AFG	Afghanistan	2 000	9	9	0	0	0	0	0	648 307	648 307	0	0	0	0	0	0	0	0	0	0	drought	drought	451e5542f3f9
AFG	Afghanistan	2 001	344	13	4	0	0	0	327	1 166 116	965 846	270	0	0	0	200 000	0,001	0,001	0	0	0	extreme_temperature	drought	f764e51f74ea
AFG	Afghanistan	2 002	1 301	15	1 200	81	5	0	0	1 072 683	965 847	100 891	5 545	400	0	0	0	0	0	0	0	earthquake	drought	5af63b961982
AFG	Afghanistan	2 003	137	0	1	136	0	0	0	4 754	0	1 001	3 753	0	0	0	0	0	0	0	0	flood	drought	77f01a56255a
AFG	Afghanistan	2 004	18	0	2	16	0	0	0	5 540	0	1 040	4 500	0	0	0	0	0	0	0	0	flood	drought	07f3ecd34d09
AFG	Afghanistan	2 005	570	0	6	283	0	260	21	41 475	0	501	18 318	0	22 656	0	0,081	0	0,001	0	0,081	flood	storm	4734c34f3031
AFG	Afghanistan	2 006	382	0	1	282	28	71	0	2 233 910	1 900 000	935	32 975	300 000	0	0	0	0	0	0	0	flood	drought	cee0bb8f38b0
AFG	Afghanistan	2 007	296	0	0	296	0	0	0	30 255	0	0	30 255	0	0	0	0	0	0	0	0	flood	drought	3368c40efd5d
AFG	Afghanistan	2 008	1 317	0	0	0	0	0	1 317	451 864	280 000	0	1 180	0	0	170 684	0	0	0	0	0	extreme_temperature	drought	f5750ddcaf41
AFG	Afghanistan	2 009	101	0	22	69	10	0	0	65 857	0	3 309	62 516	32	0	0	0,161	0	0	0,161	0	flood	flood	0cdef2c4b503

Dirigez n’importe quel LLM vers le point d’accès des métadonnées — la documentation ci-dessus est aussi lisible par machine (JSON-LD + Croissant).

cURL

curl "https://datazimuts.com/v1/datasets/emdat_disaster_impact_intel/natural_disaster_impact" | jq '{title, rows, columns_count, license}'

Python

import requests

ds = requests.get("https://datazimuts.com/v1/datasets/emdat_disaster_impact_intel/natural_disaster_impact").json()
print(ds["title"], ds["rows"], "rows")

# Sample rows for an LLM context window
for row in ds.get("sample_rows", [])[:5]:
    print(row)

Point d’accès API : https://datazimuts.com/v1/datasets/emdat_disaster_impact_intel/natural_disaster_impact

Astuce : récupérez /llms.txt pour le catalogue complet lisible par machine.

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APA

EM-DAT natural disaster impact intelligence. (2026). Natural disaster human and economic impact panel [Data set, snapshot 20261005T061925Z-1ed562c2746e, sha256 1ed562c2746e]. Datazimuts. Retrieved 2026-10-05, from https://datazimuts.com/fr/datasets/emdat_disaster_impact_intel/natural_disaster_impact?snapshot=20261005T061925Z-1ed562c2746e

BibTeX

@misc{dz_emdat_disaster_impact_intel_natural_disa_1ed562c2,
  title        = {{Natural disaster human and economic impact panel}},
  author       = {{EM-DAT natural disaster impact intelligence}},
  year         = {2026},
  publisher    = {Datazimuts},
  howpublished = {\url{https://datazimuts.com/fr/datasets/emdat_disaster_impact_intel/natural_disaster_impact?snapshot=20261005T061925Z-1ed562c2746e}},
  note         = {Snapshot 20261005T061925Z-1ed562c2746e, sha256 1ed562c2746eb30ca1f7ecc85fcde2f1c922379d58ba1b113d1109e49f77d430; accessed 2026-10-05}
}

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