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electricsheepeurope/europe-who-overweight-numbers-among-children-under-5-years-of-age

Overweight numbers among children under 5 years of age (thousands), model-based estimates | Europe (WHO GHO) 🇪🇺 1,875 observations · 25 Europe countries · 2000–2024 · Repackaged by Electric Sheep Europe TL;DR This dataset contains 1,875 observations of Overweight numbers among children under 5 years of age (thousands), model-based estimates data across 25 Europe countries, spanning 2000–2024, covering 1 distinct indicators. About the source… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepeurope/europe-who-overweight-numbers-among-children-under-5-years-of-age.

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Overweight numbers among children under 5 years of age (thousands), model-based estimates | Europe (WHO GHO)

🇪🇺 1,875 observations · 25 Europe countries · 2000–2024 · Repackaged by [Electric Sheep Europe](https://huggingface.co/electricsheepeurope)

rows countries years indicators license

TL;DR

This dataset contains 1,875 observations of Overweight numbers among children under 5 years of age (thousands), model-based estimates data across 25 Europe 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: Overweight numbers among children under 5 years of age (thousands), model-based estimates

Geographic coverage

25 Europe countries · top rows shown below, sorted by row count:

CountryRowsFirst yearLast year
ALB7520002024
BEL7520002024
BGR7520002024
BIH7520002024
BLR7520002024
CZE7520002024
DEU7520002024
EST7520002024
FIN7520002024
GBR7520002024
GRC7520002024
IRL7520002024
LTU7520002024
LVA7520002024
MDA7520002024
...10 more countries

Indicators (sample)

  • —NUTOVERWEIGHTNUM

Schema

ColumnTypeDescriptionExample
indicator_codeobject—NUTOVERWEIGHTNUM
country_iso3object—ALB
who_regionobject—EUR
yearint64—2000
dim1_typeobject—SEX
dim1object—SEX_BTSX
value_numericfloat64—56.8
value_lowfloat64—42.3
value_highfloat64—74.7
value_displayobject—56.8 [42.3-74.7]
last_updatedobject—2025-05-12T12:44:36.253+02:00

Disaggregation dimensions

The following columns provide disaggregation dimensions:

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

Usage

python
from datasets import load_dataset

ds = load_dataset("electricsheepeurope/europe-who-overweight-numbers-among-children-under-5-years-of-age")
df = ds["train"].to_pandas()
print(df.head())

Filter to one country

python
germany = df[df["country_iso3"] == "DEU"]

Time-series for a single indicator

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

Pivot to country × year matrix

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

Citation

bibtex
@misc{europe_who_overweight_numbers_among_children_under_5_years_of_age_2024,
  title        = {Overweight numbers among children under 5 years of age (thousands), model-based estimates | Europe (WHO GHO)},
  author       = {World Health Organization},
  year         = {2024},
  url          = {https://www.who.int/data/gho},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Europe},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepeurope/europe-who-overweight-numbers-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 Europe repackaging.

About Electric Sheep

Electric Sheep Europe is part of the Electric Sheep mission: a unified, ML-ready data layer for Europe 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/electricsheepeurope


Provenance: ingested 2026-05-29 via the Electric Sheep pipeline. Source URL: https://www.who.int/data/gho