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electricsheepasia/asia-owid-deaths-and-missing-persons-due-to-natural-disasters

Deaths And Missing Persons Due To Natural Disasters | Asia (Our World in Data) 🌏 562 observations · 45 Asia countries · 2005–2024 · Repackaged by Electric Sheep Asia TL;DR This dataset contains 562 observations of Deaths And Missing Persons Due To Natural Disasters data across 45 Asia countries, spanning 2005–2024. About the source Source: Our World in Data Publisher: Our World in Data License: cc-by-4.0 Topic: Deaths And Missing Persons Due… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepasia/asia-owid-deaths-and-missing-persons-due-to-natural-disasters.

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Dataset Card

Deaths And Missing Persons Due To Natural Disasters | Asia (Our World in Data)

🌏 562 observations · 45 Asia countries · 2005–2024 · Repackaged by [Electric Sheep Asia](https://huggingface.co/electricsheepasia)

rows countries years license

TL;DR

This dataset contains 562 observations of Deaths And Missing Persons Due To Natural Disasters data across 45 Asia countries, spanning 2005–2024.

About the source

  • —Source: Our World in Data
  • —Publisher: Our World in Data
  • —License: cc-by-4.0
  • —Topic: Deaths And Missing Persons Due To Natural Disasters

Geographic coverage

45 Asia countries · top rows shown below, sorted by row count:

CountryRowsFirst yearLast year
ARM1920052023
GEO1920052023
IDN1920052023
KGZ1920052023
JOR1920052023
LKA1920052023
QAT1920052023
PHL1920052023
MNG1920052023
MMR1920052023
KHM1820052022
CYP1820052022
BHR1820052024
KOR1820052022
MYS1820052022
...30 more countries

Schema

ColumnTypeDescriptionExample
country_namestring—Afghanistan
country_iso3string—AFG
yearint64—2017
Number of deaths and missing persons attributed to disasters per 100,000 population (number)float64—0.05

Usage

python
from datasets import load_dataset

ds = load_dataset("electricsheepasia/asia-owid-deaths-and-missing-persons-due-to-natural-disasters")
df = ds["train"].to_pandas()
print(df.head())

Filter to one country

python
indonesia = df[df["country_iso3"] == "IDN"]

Time-series for a single indicator

python
sample = df.sort_values("year")
sample.plot(x="year", y="Number of deaths and missing persons attributed to disasters per 100,000 population (number)")

Citation

bibtex
@misc{asia_owid_deaths_and_missing_persons_due_to_natural_disasters_2024,
  title        = {Deaths And Missing Persons Due To Natural Disasters | Asia (Our World in Data)},
  author       = {Our World in Data},
  year         = {2024},
  url          = {https://ourworldindata.org/grapher/deaths-and-missing-persons-due-to-natural-disasters},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Asia},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepasia/asia-owid-deaths-and-missing-persons-due-to-natural-disasters}}
}

License

Released under cc-by-4.0.

Original data © Our World in Data. When using this dataset, please cite both the original source above and the Electric Sheep Asia repackaging.

About Electric Sheep

Electric Sheep Asia is part of the Electric Sheep mission: a unified, ML-ready data layer for Asia on HuggingFace. We pull data from authoritative open sources, normalize the schemas, package as Parquet, and publish with consistent dataset cards so researchers and developers can use load_dataset() to start working in seconds.

Browse the full collection: huggingface.co/electricsheepasia


Provenance: ingested 2026-06-03 via the Electric Sheep pipeline. Source URL: https://ourworldindata.org/grapher/deaths-and-missing-persons-due-to-natural-disasters