electricsheepasia/asia-who-estimated-number-of-malaria-deaths

Estimated number of malaria deaths | Asia (WHO GHO)

🌏 875 observations · 35 Asia countries · 2000–2024 · Repackaged by [Electric Sheep Asia](https://huggingface.co/electricsheepasia)

TL;DR

This dataset contains 875 observations of Estimated number of malaria deaths data across 35 Asia countries, spanning 2000–2024, covering 1 distinct indicators.

About the source

• —Source: WHO Global Health Observatory
• —Publisher: World Health Organization
• —License: cc-by-4.0
• —Topic: Estimated number of malaria deaths

Geographic coverage

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

Indicators (sample)

• —MALARIA_EST_DEATHS

Schema

Usage

from datasets import load_dataset

ds = load_dataset("electricsheepasia/asia-who-estimated-number-of-malaria-deaths")
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"] == "MALARIA_EST_DEATHS"]
          .sort_values("year"))
sample.plot(x="year", y="value_numeric", title="MALARIA_EST_DEATHS")

Pivot to country × year matrix

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

Citation

@misc{asia_who_estimated_number_of_malaria_deaths_2024,
  title        = {Estimated number of malaria deaths | 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-estimated-number-of-malaria-deaths}}
}

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