electricsheepasia/asia-who-number-of-new-leprosy-cases

Number of new leprosy cases | Asia (WHO GHO)

🌏 746 observations · 47 Asia countries · 2005–2024 · Repackaged by [Electric Sheep Asia](https://huggingface.co/electricsheepasia)

TL;DR

This dataset contains 746 observations of Number of new leprosy cases data across 47 Asia countries, spanning 2005–2024, covering 1 distinct indicators.

About the source

• —Source: WHO Global Health Observatory
• —Publisher: World Health Organization
• —License: cc-by-4.0
• —Topic: Number of new leprosy cases

Geographic coverage

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

Indicators (sample)

• —WHS3_45

Schema

Usage

from datasets import load_dataset

ds = load_dataset("electricsheepasia/asia-who-number-of-new-leprosy-cases")
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"] == "WHS3_45"]
          .sort_values("year"))
sample.plot(x="year", y="value_numeric", title="WHS3_45")

Pivot to country × year matrix

matrix = (df[df["indicator_code"] == "WHS3_45"]
          .pivot_table(index="year", columns="country_iso3", values="value_numeric"))
print(matrix.tail())

Citation

@misc{asia_who_number_of_new_leprosy_cases_2024,
  title        = {Number of new leprosy cases | Asia (WHO GHO)},
  author       = {World Health Organization},
  year         = {2024},
  url          = {https://www.who.int/data/gho},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Asia},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepasia/asia-who-number-of-new-leprosy-cases}}
}

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