electricsheepasia/asia-who-underweight-prevalence-among-children-under-5-years-of-age

Underweight prevalence among children under 5 years of age (% weight-for-age <-2 SD), survey-based estimates | Asia (WHO GHO)

🌏 20,493 observations · 45 Asia countries · 1986–2024 · Repackaged by [Electric Sheep Asia](https://huggingface.co/electricsheepasia)

TL;DR

This dataset contains 20,493 observations of Underweight prevalence among children under 5 years of age (% weight-for-age <-2 SD), survey-based estimates data across 45 Asia countries, spanning 1986–2024, covering 1 distinct indicators.

About the source

• —Source: WHO Global Health Observatory
• —Publisher: World Health Organization
• —License: cc-by-4.0
• —Topic: Underweight prevalence among children under 5 years of age (% weight-for-age <-2 SD), survey-based estimates

Geographic coverage

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

Indicators (sample)

• —NUTRITION_WA_2

Schema

Disaggregation dimensions

The following columns provide disaggregation dimensions:

• —`dim1_type` (8 unique values): AGEGROUP, EDUCATIONLEVEL, HOUSEHOLDWEALTH, RESIDENCEAREATYPE, SEX
• —`dim1` (63 unique values): AGEGROUP_YEARSALL, EDUCATIONLEVEL_TOTL, HOUSEHOLDWEALTH_TOTL, RESIDENCEAREATYPE_TOTL, SEX_BTSX
• —`dim2_type` (1 unique values): AGEGROUP
• —`dim2` (22 unique values): AGEGROUP_YEARSALL, AGEGROUP_MONTHS0-11, AGEGROUP_MONTHS0-23, AGEGROUP_MONTHS0-5, AGEGROUP_MONTHS12-17

Usage

from datasets import load_dataset

ds = load_dataset("electricsheepasia/asia-who-underweight-prevalence-among-children-under-5-years-of-age")
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"] == "NUTRITION_WA_2"]
          .sort_values("year"))
sample.plot(x="year", y="value_numeric", title="NUTRITION_WA_2")

Pivot to country × year matrix

matrix = (df[df["indicator_code"] == "NUTRITION_WA_2"]
          .pivot_table(index="year", columns="country_iso3", values="value_numeric"))
print(matrix.tail())

Citation

@misc{asia_who_underweight_prevalence_among_children_under_5_years_of_age_2024,
  title        = {Underweight prevalence among children under 5 years of age   (% weight-for-age <-2 SD), survey-based estimates | 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-underweight-prevalence-among-children-under-5-years-of-age}}
}

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