electricsheepasia/asia-who-financial-hardship-in-health-and-components-population

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

🌏 4,884 observations · 39 Asia countries · 1992–2024 · Repackaged by [Electric Sheep Asia](https://huggingface.co/electricsheepasia)

TL;DR

This dataset contains 4,884 observations of Financial hardship in health and components (SDG 3.8.2, 2025 definition): population (%) data across 39 Asia countries, spanning 1992–2024, 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

39 Asia 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): DEMOGRAPHIC, FINANCIALHARDSHIPCOMPONENT, HOUSEHOLD_COMP_BY_AGE, RESIDENCEAREATYPE, WEALTHQUINTILE
• —`dim1` (17 unique values): DEMOGRAPHIC_HEADOFHOUSEHOLD, FINANCIALHARDSHIPCOMPONENT_COMPONENT_TOTAL, HOUSEHOLD_COMP_BY_AGE_HH_COMP_ADULTS, HOUSEHOLD_COMP_BY_AGE_HH_COMP_ADULTS_WITH_KIDS, HOUSEHOLD_COMP_BY_AGE_HH_COMP_ADULTS_WITH_OLDER
• —`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("electricsheepasia/asia-who-financial-hardship-in-health-and-components-population")
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"] == "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{asia_who_financial_hardship_in_health_and_components_population_2024,
  title        = {Financial hardship in health and components (SDG 3.8.2, 2025 definition): population (%) | 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-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 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