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electricsheepasia/asia-owid-death-rate-from-diabetes-who-mdb

Death Rate From Diabetes Who Mdb | Asia (Our World in Data) 🌏 866 observations · 32 Asia countries · 1950–2023 · Repackaged by Electric Sheep Asia TL;DR This dataset contains 866 observations of Death Rate From Diabetes Who Mdb data across 32 Asia countries, spanning 1950–2023. About the source Source: Our World in Data Publisher: Our World in Data License: cc-by-4.0 Topic: Death Rate From Diabetes Who Mdb Geographic coverage… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepasia/asia-owid-death-rate-from-diabetes-who-mdb.

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Dataset Card

Death Rate From Diabetes Who Mdb | Asia (Our World in Data)

🌏 866 observations · 32 Asia countries · 1950–2023 · Repackaged by [Electric Sheep Asia](https://huggingface.co/electricsheepasia)

rows countries years license

TL;DR

This dataset contains 866 observations of Death Rate From Diabetes Who Mdb data across 32 Asia countries, spanning 1950–2023.

About the source

Geographic coverage

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

CountryRowsFirst yearLast year
JPN7319502022
SGP6019632022
THA4919692023
ISR4819752022
KWT4319722023
LKA4219552019
KGZ4119812023
KAZ4119812023
ARM3919812023
UZB3819812023
KOR3819852022
GEO3619812023
TKM3319812015
PHL3019632019
TJK3019812022
...17 more countries

Schema

ColumnTypeDescriptionExample
country_namestring—Armenia
country_iso3string—ARM
yearint64—1981
Age-standardized deaths that are from diabetes mellitus, blood and endocrine disorders per 100,000 people, in both sexes aged all agesfloat64—9.105871

Usage

python
from datasets import load_dataset

ds = load_dataset("electricsheepasia/asia-owid-death-rate-from-diabetes-who-mdb")
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="Age-standardized deaths that are from diabetes mellitus, blood and endocrine disorders per 100,000 people, in both sexes aged all ages")

Citation

bibtex
@misc{asia_owid_death_rate_from_diabetes_who_mdb_2023,
  title        = {Death Rate From Diabetes Who Mdb | Asia (Our World in Data)},
  author       = {Our World in Data},
  year         = {2023},
  url          = {https://ourworldindata.org/grapher/death-rate-from-diabetes-who-mdb},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Asia},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepasia/asia-owid-death-rate-from-diabetes-who-mdb}}
}

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/death-rate-from-diabetes-who-mdb