electricsheepasia/asia-who-prevalence-of-diabetes-lencecrude

Prevalence of diabetes, crude | Asia (WHO GHO)

🌏 9,504 observations · 48 Asia countries · 1990–2022 · Repackaged by [Electric Sheep Asia](https://huggingface.co/electricsheepasia)

TL;DR

This dataset contains 9,504 observations of Prevalence of diabetes, crude data across 48 Asia countries, spanning 1990–2022, covering 1 distinct indicators.

About the source

• —Source: WHO Global Health Observatory
• —Publisher: World Health Organization
• —License: cc-by-4.0
• —Topic: Prevalence of diabetes, crude

Geographic coverage

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

Indicators (sample)

• —NCD_DIABETES_PREVALENCE_CRUDE

Schema

Disaggregation dimensions

The following columns provide disaggregation dimensions:

• —`dim1_type` (1 unique values): SEX
• —`dim1` (3 unique values): SEX_BTSX, SEX_FMLE, SEX_MLE
• —`dim2_type` (1 unique values): AGEGROUP
• —`dim2` (2 unique values): AGEGROUP_YEARS18-PLUS, AGEGROUP_YEARS30-PLUS

Usage

from datasets import load_dataset

ds = load_dataset("electricsheepasia/asia-who-prevalence-of-diabetes-lencecrude")
df = ds["train"].to_pandas()
print(df.head())

Filter to one country

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

Time-series for a single indicator

sample = (df[df["indicator_code"] == "NCD_DIABETES_PREVALENCE_CRUDE"]
          .sort_values("year"))
sample.plot(x="year", y="value_numeric", title="NCD_DIABETES_PREVALENCE_CRUDE")

Pivot to country × year matrix

matrix = (df[df["indicator_code"] == "NCD_DIABETES_PREVALENCE_CRUDE"]
          .pivot_table(index="year", columns="country_iso3", values="value_numeric"))
print(matrix.tail())

Citation

@misc{asia_who_prevalence_of_diabetes_lencecrude_2022,
  title        = {Prevalence of diabetes, crude | Asia (WHO GHO)},
  author       = {World Health Organization},
  year         = {2022},
  url          = {https://www.who.int/data/gho},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Asia},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepasia/asia-who-prevalence-of-diabetes-lencecrude}}
}

License

Released under cc-by-4.0.

Original data © World Health Organization. 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 2026-05-29 via the Electric Sheep pipeline. Source URL: https://www.who.int/data/gho