CoolFace
Datasetpublic

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

Overweight prevalence among children under 5 years of age (% weight-for-height >+2 SD), model-based estimates | Asia (WHO GHO) ๐ŸŒ 3,300 observations ยท 44 Asia countries ยท 2000โ€“2024 ยท Repackaged by Electric Sheep Asia TL;DR This dataset contains 3,300 observations of Overweight prevalence among children under 5 years of age (% weight-for-height >+2 SD), model-based estimates data across 44 Asia countries, spanning 2000โ€“2024, covering 1 distinct indicators.โ€ฆ See the full description on the dataset page: https://huggingface.co/datasets/electricsheepasia/asia-who-overweight-prevalence-among-children-under-5-years-of-age-weightprev.

sourceHugging Facecc-by-4.0updated 4mo agoView on Hugging Face
0likes56downloads
Dataset Card

Overweight prevalence among children under 5 years of age (% weight-for-height >+2 SD), model-based estimates | Asia (WHO GHO)

๐ŸŒ 3,300 observations ยท 44 Asia countries ยท 2000โ€“2024 ยท Repackaged by [Electric Sheep Asia](https://huggingface.co/electricsheepasia)

rows countries years indicators license

TL;DR

This dataset contains 3,300 observations of Overweight prevalence among children under 5 years of age (% weight-for-height >+2 SD), model-based estimates data across 44 Asia countries, spanning 2000โ€“2024, covering 1 distinct indicators.

About the source

  • โ€”Source: WHO Global Health Observatory
  • โ€”Publisher: World Health Organization
  • โ€”License: cc-by-4.0
  • โ€”Topic: Overweight prevalence among children under 5 years of age (% weight-for-height >+2 SD), model-based estimates

Geographic coverage

44 Asia countries ยท top rows shown below, sorted by row count:

CountryRowsFirst yearLast year
AFG7520002024
ARM7520002024
AZE7520002024
BGD7520002024
BRN7520002024
BTN7520002024
CHN7520002024
GEO7520002024
IDN7520002024
IND7520002024
IRN7520002024
IRQ7520002024
JOR7520002024
JPN7520002024
KAZ7520002024
...29 more countries

Indicators (sample)

  • โ€”NUTOVERWEIGHTPREV

Schema

ColumnTypeDescriptionExample
indicator_codeobjectโ€”NUTOVERWEIGHTPREV
country_iso3objectโ€”AFG
who_regionobjectโ€”EMR
yearint64โ€”2000
dim1_typeobjectโ€”SEX
dim1objectโ€”SEX_BTSX
value_numericfloat64โ€”4.8
value_lowfloat64โ€”3.8
value_highfloat64โ€”6.1
value_displayobjectโ€”4.8 [3.8-6.1]
last_updatedobjectโ€”2025-05-12T13:07:54.333+02:00

Disaggregation dimensions

The following columns provide disaggregation dimensions:

  • โ€”`dim1_type` (1 unique values): SEX
  • โ€”`dim1` (3 unique values): SEX_BTSX, SEX_FMLE, SEX_MLE

Usage

python
from datasets import load_dataset

ds = load_dataset("electricsheepasia/asia-who-overweight-prevalence-among-children-under-5-years-of-age-weightprev")
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[df["indicator_code"] == "NUTOVERWEIGHTPREV"]
          .sort_values("year"))
sample.plot(x="year", y="value_numeric", title="NUTOVERWEIGHTPREV")

Pivot to country ร— year matrix

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

Citation

bibtex
@misc{asia_who_overweight_prevalence_among_children_under_5_years_of_age_weightprev_2024,
  title        = {Overweight prevalence among children under 5 years of age (% weight-for-height >+2 SD), model-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-overweight-prevalence-among-children-under-5-years-of-age-weightprev}}
}

License

Released under cc-by-4.0.

Original data ยฉ 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 2026-05-28 via the Electric Sheep pipeline. Source URL: https://www.who.int/data/gho