license: cc-by-4.0
task_categories:
- tabular-classification
- tabular-regression
language:
- en
tags:
- africa
- health
- who
- gho
- ghed_pvt-dche_sha2011
pretty_name: >-
Africa — WHO GHO: Domestic private health expenditure (PVT-D) as percentage of
current health expenditure (CHE) (%)
size_categories:
- 1K<n<10K
Africa — WHO GHO: Domestic private health expenditure (PVT-D) as percentage of current health expenditure (CHE) (%)
Indicator code: GHED_PVT-DCHE_SHA2011
HuggingFace slug: electricsheepafrica/africa-who-domestic-private-health-expenditure-as-percentage-of
Source: WHO Global Health Observatory
License: CC BY 4.0 — WHO Open Data
Dataset Description
This dataset contains country-level observations for the WHO GHO indicator "Domestic private health expenditure (PVT-D) as percentage of current health expenditure (CHE) (%)" (GHED_PVT-DCHE_SHA2011) across African nations, spanning 2000–2023. It is part of the Electric Sheep Africa collection — a unified, ML-ready repository of African data.
Data is sourced directly from the WHO Global Health Observatory OData API and repackaged as Parquet files with a consistent schema. All values are drawn from NumericValue (the float-precision field), not the display string. Confidence interval bounds (value_low, value_high) are included where available.
Coverage
| Countries | 47 African nations |
| Years | 2000 – 2023 |
| Total rows | 1,101 |
| Region filter | WHO AFRO (ParentLocationCode = 'AFR') |
Countries included: AGO, BDI, BEN, BFA, BWA, CAF, CIV, CMR, COD, COG, COM, CPV, DZA, ERI, ETH, GAB, GHA, GIN, GMB, GNB … and 27 more
Sub-dimensions
No sub-dimensions (single value per country/year)
When an indicator is stratified (e.g., by sex or age group), each unique combination of country × year × dimension produces a separate row. Filter on dim1 / dim2 for the stratum you need, or aggregate across strata.
Schema
| Column | Type | Description |
|---|---|---|
indicator_code |
string | GHO indicator code (e.g., GHED_PVT-DCHE_SHA2011) |
country_iso3 |
string | ISO 3166-1 alpha-3 country code |
who_region |
string | WHO region code (always AFR here) |
year |
int | Observation year |
value_numeric |
float | Point estimate (primary ML target) |
value_low |
float | Lower confidence bound (if available) |
value_high |
float | Upper confidence bound (if available) |
value_display |
string | Formatted display string, e.g. "58.3 [57.7–59.0]" |
dim1_type |
string | Dimension 1 type, e.g. SEX, RESIDENCEAREATYPE |
dim1 |
string | Dimension 1 value, e.g. SEX_BTSX, RURAL |
dim2_type |
string | Dimension 2 type (if present) |
dim2 |
string | Dimension 2 value (if present) |
last_updated |
string | WHO data last-updated timestamp |
Usage
from datasets import load_dataset
ds = load_dataset("electricsheepafrica/africa-who-domestic-private-health-expenditure-as-percentage-of")
df = ds["train"].to_pandas()
# Both-sexes, national level only
national = df[df.get("dim1", "").str.endswith("_BTSX") | df.get("dim1", pd.Series()).isna()]
# Time series for one country
kenya = df[df["country_iso3"] == "KEN"].sort_values("year")
Citation
@misc{who_gho_ghed_pvt_dche_sha2011,
title = {WHO Global Health Observatory: Domestic private health expenditure (PVT-D) as percentage of current health expenditure (CHE) (%)},
author = {World Health Organization},
year = {2023},
url = {https://www.who.int/data/gho/data/indicators/indicator-details/GHO/GHED_PVT-DCHE_SHA2011},
note = {Repackaged by Electric Sheep Africa}
}
Repackaged by Electric Sheep Africa from WHO GHO open data. Original data © World Health Organization, licensed CC BY 4.0.