electricsheepeurope/europe-who-prevalence-of-anaemia-in-women-of-reproductive-age

Prevalence of anaemia in women of reproductive age (aged 15-49) (%) | Europe (WHO GHO)

🇪🇺 3,024 observations · 42 Europe countries · 2000–2023 · Repackaged by [Electric Sheep Europe](https://huggingface.co/electricsheepeurope)

TL;DR

This dataset contains 3,024 observations of Prevalence of anaemia in women of reproductive age (aged 15-49) (%) data across 42 Europe countries, spanning 2000–2023, covering 1 distinct indicators.

About the source

• —Source: WHO Global Health Observatory
• —Publisher: World Health Organization
• —License: cc-by-4.0
• —Topic: Prevalence of anaemia in women of reproductive age (aged 15-49) (%)

Geographic coverage

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

Indicators (sample)

• —NUTRITION_ANAEMIA_REPRODUCTIVEAGE_PREV

Schema

Disaggregation dimensions

The following columns provide disaggregation dimensions:

• —`dim1_type` (1 unique values): SEX
• —`dim1` (1 unique values): SEX_FMLE
• —`dim2_type` (1 unique values): PREGNANCYSTATUS
• —`dim2` (3 unique values): PREGNANCYSTATUS_NONPREGNANT, PREGNANCYSTATUS_PREGNANT, PREGNANCYSTATUS_TOTAL

Usage

from datasets import load_dataset

ds = load_dataset("electricsheepeurope/europe-who-prevalence-of-anaemia-in-women-of-reproductive-age")
df = ds["train"].to_pandas()
print(df.head())

Filter to one country

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

Time-series for a single indicator

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

Pivot to country × year matrix

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

Citation

@misc{europe_who_prevalence_of_anaemia_in_women_of_reproductive_age_2023,
  title        = {Prevalence of anaemia in women of reproductive age (aged 15-49) (%) | Europe (WHO GHO)},
  author       = {World Health Organization},
  year         = {2023},
  url          = {https://www.who.int/data/gho},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Europe},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepeurope/europe-who-prevalence-of-anaemia-in-women-of-reproductive-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