electricsheepeurope/europe-who-financial-hardship-in-health-and-components-population

Financial hardship in health and components (SDG 3.8.2, 2025 definition): population (%) | Europe (WHO GHO)

🇪🇺 5,968 observations · 40 Europe countries · 1990–2024 · Repackaged by [Electric Sheep Europe](https://huggingface.co/electricsheepeurope)

TL;DR

This dataset contains 5,968 observations of Financial hardship in health and components (SDG 3.8.2, 2025 definition): population (%) data across 40 Europe countries, spanning 1990–2024, covering 1 distinct indicators.

About the source

• —Source: WHO Global Health Observatory
• —Publisher: World Health Organization
• —License: cc-by-4.0
• —Topic: Financial hardship in health and components (SDG 3.8.2, 2025 definition): population (%)

Geographic coverage

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

Indicators (sample)

• —FINANCIALHARDSHIP_PROPORTIONOFPOP

Schema

Disaggregation dimensions

The following columns provide disaggregation dimensions:

• —`dim1_type` (5 unique values): FINANCIALHARDSHIPCOMPONENT, RESIDENCEAREATYPE, WEALTHQUINTILE, DEMOGRAPHIC, HOUSEHOLD_COMP_BY_AGE
• —`dim1` (17 unique values): FINANCIALHARDSHIPCOMPONENT_COMPONENT_IMPOV, FINANCIALHARDSHIPCOMPONENT_COMPONENT_LARGE, FINANCIALHARDSHIPCOMPONENT_COMPONENT_TOTAL, RESIDENCEAREATYPE_RUR, RESIDENCEAREATYPE_TOTL
• —`dim2_type` (2 unique values): AGEGROUP, SEX
• —`dim2` (4 unique values): AGEGROUP_AGE60+, AGEGROUP_AGELT60, SEX_FMLE, SEX_MLE

Usage

from datasets import load_dataset

ds = load_dataset("electricsheepeurope/europe-who-financial-hardship-in-health-and-components-population")
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"] == "FINANCIALHARDSHIP_PROPORTIONOFPOP"]
          .sort_values("year"))
sample.plot(x="year", y="value_numeric", title="FINANCIALHARDSHIP_PROPORTIONOFPOP")

Pivot to country × year matrix

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

Citation

@misc{europe_who_financial_hardship_in_health_and_components_population_2024,
  title        = {Financial hardship in health and components (SDG 3.8.2, 2025 definition): population (%) | 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-financial-hardship-in-health-and-components-population}}
}

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