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electricsheepasia/asia-owid-natural-disasters-by-decadal-size

Natural Disasters By Decadal Size | Asia (Our World in Data) 🌏 323 observations · 47 Asia countries · 1900–2020 · Repackaged by Electric Sheep Asia TL;DR This dataset contains 323 observations of Natural Disasters By Decadal Size data across 47 Asia countries, spanning 1900–2020. About the source Source: Our World in Data Publisher: Our World in Data License: cc-by-4.0 Topic: Natural Disasters By Decadal Size Geographic coverage… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepasia/asia-owid-natural-disasters-by-decadal-size.

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Dataset Card

Natural Disasters By Decadal Size | Asia (Our World in Data)

🌏 323 observations · 47 Asia countries · 1900–2020 · Repackaged by [Electric Sheep Asia](https://huggingface.co/electricsheepasia)

rows countries years license

TL;DR

This dataset contains 323 observations of Natural Disasters By Decadal Size data across 47 Asia countries, spanning 1900–2020.

About the source

Geographic coverage

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

CountryRowsFirst yearLast year
BGD1319002020
IND1319002020
CHN1319002020
IRN1319002020
TUR1319002020
TWN1319002020
JPN1319002020
PHL1319002020
IDN1219102020
PAK1219002020
MMR1119002020
KOR919302020
NPL919302020
AFG819502020
LKA819502020
...32 more countries

Schema

ColumnTypeDescriptionExample
country_namestring—Afghanistan
country_iso3string—AFG
yearint64—1950
Smallint64—0
Mediumint64—0
Largeint64—3
Unknownint64—0

Usage

python
from datasets import load_dataset

ds = load_dataset("electricsheepasia/asia-owid-natural-disasters-by-decadal-size")
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="Small")

Citation

bibtex
@misc{asia_owid_natural_disasters_by_decadal_size_2020,
  title        = {Natural Disasters By Decadal Size | Asia (Our World in Data)},
  author       = {Our World in Data},
  year         = {2020},
  url          = {https://ourworldindata.org/grapher/natural-disasters-by-decadal-size},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Asia},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepasia/asia-owid-natural-disasters-by-decadal-size}}
}

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 2026-06-06 via the Electric Sheep pipeline. Source URL: https://ourworldindata.org/grapher/natural-disasters-by-decadal-size