Africa · Health
Collection
Health system and disease data for Africa. Sources: WHO, DHS Program, Global Healthsites, malaria and epidemic tracking. • 84 items • Updated
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value | esa_processed stringdate 2026-04-14 00:00:00 2026-04-14 00:00:00 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Proportion of children under 5 sleeping under insecticide-treated bednets (%) | null | null | null | null | null | null | null | null | null | 1 | null | null | 1 | null | 13 | null | null | null | null | 21 | null | null | null | null | HDX | 2026-04-14 |
Contraceptive use among currently married women 15-49 years old (%) | 16.1 | null | null | null | null | null | null | 19.3 | null | 25.6 | null | null | 26 | null | 29.2 | null | null | null | null | 23.4 | null | null | null | null | HDX | 2026-04-14 |
Proportion of children under 5 with fever who are treated with appropriate anti-malarial drugs (%) | null | null | null | null | null | null | null | null | null | 66 | null | null | 66 | null | 58 | null | null | null | null | 23.1 | null | null | null | null | HDX | 2026-04-14 |
Neo-natal mortality (Per 1,000 live births) | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | 26 | HDX | 2026-04-14 |
HIV prevalence among population aged 15-49 years old - Total (%) | null | null | null | null | null | null | null | null | null | null | null | null | null | 5.3 | 5.3 | 5.2 | 5.2 | 5.1 | 5.1 | 5 | 4.9 | 4.9 | 4.8 | null | HDX | 2026-04-14 |
Proportion of 1 year-old children immunised against measles (%) | 48 | 37 | 32 | 38 | 46 | 39 | 43 | 47 | 46 | 49 | 51 | 61 | 64 | 68 | 73 | 74 | 80 | 74 | 79 | 76 | 82 | 83 | null | null | HDX | 2026-04-14 |
Tuberculosis treatment success rate under DOTS (%) | null | null | null | 44 | 53 | 59 | 60 | 75 | 75 | null | 62 | null | 71 | 74 | 74 | 74 | 75 | 77 | 78 | 79 | 79 | null | null | null | HDX | 2026-04-14 |
Maternal mortality ratio (per 100,000 live births) | 732 | 740 | 743 | 749 | 749 | 753 | 751 | 749 | 750 | 750 | 751 | 732 | 723 | 729 | 725 | 710 | 707 | 696 | 676 | 652 | 632 | 619 | 609 | 596 | HDX | 2026-04-14 |
Men 15-24 years old with comprehensive correct knowledge of HIV/AIDS (%) | null | null | null | null | null | null | null | null | null | null | null | null | 34 | null | null | null | null | null | null | 33.5 | null | null | null | null | HDX | 2026-04-14 |
Tuberculosis incidence rate per year per 100,000 population - Mid-point (number) | 123 | 139 | 159 | 182 | null | 230 | 254 | 276 | 295 | null | 317 | 321 | 318 | null | 303 | 292 | 282 | null | 260 | 251 | 242 | 235 | null | null | HDX | 2026-04-14 |
Proportion of population with advanced HIV infection with access to antiretroviral drugs (%) | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | 32.7 | 35.8 | 40.8 | null | null | null | null | HDX | 2026-04-14 |
Under five mortality rate (Per 1,000 live births) | null | null | null | null | null | null | null | null | null | 151.2 | null | null | null | 125.8 | 121.3 | 117.1 | 112.9 | 108.9 | 104.4 | 100.8 | 97.3 | 94.5 | null | null | HDX | 2026-04-14 |
Women 15-24 years old with comprehensive correct knowledge of HIV/AIDS (%) | null | null | null | null | null | null | null | null | null | 16.1 | null | null | 27 | null | null | null | null | null | null | 28.7 | null | null | null | null | HDX | 2026-04-14 |
Percentage of mothers provided at least one antenatal care - Total (%) | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | 85 | 85 | 85 | 85 | 85 | 85 | 85 | 85 | null | HDX | 2026-04-14 |
Prevalence of underweight children under-five years of age - Total (%) | null | null | null | null | null | null | null | null | null | null | null | null | 15.1 | null | 16.6 | null | null | null | null | 15.1 | null | null | null | null | HDX | 2026-04-14 |
Proportion of population below minimum level of dietary energy consumption (%) | null | 37.5 | 36.7 | 37.5 | 38 | null | 37.1 | 35.5 | 34 | 32.3 | null | 27.1 | null | null | null | null | null | null | null | null | null | null | null | null | HDX | 2026-04-14 |
Tuberculosis prevalence rate per 100,000 population - Upper bound (number) | 341 | 413 | 490 | 564 | 632 | 692 | 742 | 780 | 793 | 790 | 774 | 706 | 674 | 652 | 621 | 587 | 563 | 537 | 514 | 492 | 480 | 472 | null | null | HDX | 2026-04-14 |
Percentage of children under-five and underweight (%) | null | null | null | null | null | null | null | null | null | null | null | null | 15.1 | null | 16.6 | null | null | null | null | 15.1 | null | null | null | null | HDX | 2026-04-14 |
CAMEROON - Health indicators, UNECA | Africa (original)
Size category: n<1K - Formats: parquet - Sector: health - Engineered by Electric Sheep Africa
TL;DR
This dataset is part of the Electric Sheep Africa catalog on Hugging Face. It is indexed for African data discovery with standardized metadata, loading guidance, provenance notes, and analyst-oriented context.
What This Dataset Covers
Health datasets help researchers examine disease burden, service delivery, risk factors, outcomes, and public-health program performance.
Dataset context from the existing Hugging Face card: CAMEROON - Health indicators, UNECA Publisher: United Nations Economic Commission for Africa · Source: HDX · License: cc-by-igo · Updated: 2024-09-13 Abstract This dataset contains many health indicators such as Infant mortality rate, Proportion of population with advanced HIV infection with access to antiretroviral drugs, Death rate associated with malaria per 100,000 population, Tuberculosis prevalence rate per 100,000 population, etc. The whole list and their… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/africa-cameroon-uneca-health.
Dataset Profile
| Field | Value |
|---|---|
| Hugging Face repo | electricsheepafrica/africa-cameroon-uneca-health |
| Sector | health |
| Topic tags | humanitarian, hdx, electric-sheep-africa, health, cmr |
| Modalities | tabular, text |
| Formats | parquet |
| Size category | n<1K |
| Countries | Cameroon |
| ISO3 coverage | CMR |
| Last modified on HF | 2026-04-14 06:28:30+00:00 |
| Inventory snapshot | 2026-07-16T16:00:34Z |
How To Read This Dataset
- Start from the repository files and the dataset viewer when available.
- Treat the README context as a fast orientation layer; confirm variable definitions and units in the data files before modeling.
- Use explicit country columns when present. When geography is only implied by the title or source metadata, document that assumption in downstream analysis.
- Preserve missing values until you have a defensible imputation rule.
Usage
from datasets import load_dataset
ds = load_dataset("electricsheepafrica/africa-cameroon-uneca-health")
print(ds)
split_name = next(iter(ds))
table = ds[split_name]
print(table.features)
print(table[:3])
Convert To Pandas When Tabular
from datasets import Dataset
first_split = ds[next(iter(ds))]
if isinstance(first_split, Dataset):
df = first_split.to_pandas()
print(df.head())
Data Quality Notes
- This card was standardized from the Electric Sheep Africa Hugging Face metadata inventory.
- Exact schema, row counts, and source files should be inspected in the repository data files.
- Metadata gaps from the inventory: upstream_publisher.
- Do not infer policy meaning from labels alone; confirm definitions, units, and methods in the source material.
Source And Provenance
- Source context: original
- Publisher/source attribution: original
- License: CC BY 4.0
- Hugging Face URL: https://huggingface.co/datasets/electricsheepafrica/africa-cameroon-uneca-health
- Inventory retrieved at:
2026-07-16T16:00:34Z
Suggested Analyses
- Inspect schema and missingness before modeling.
- Profile variables by geography, time, and subgroup columns where present.
- Join with other Electric Sheep Africa datasets using explicit country, year, and indicator fields when available.
- Build reproducible notebooks that cite both the original source context and the Electric Sheep Africa Hugging Face repo.
Citation
@misc{electric_sheep_africa_africa_cameroon_uneca_health_2026,
title = {CAMEROON - Health indicators, UNECA | Africa (original)},
author = {original},
year = {2026},
url = {https://huggingface.co/datasets/electricsheepafrica/africa-cameroon-uneca-health},
publisher = {Hugging Face Datasets, engineered by Electric Sheep Africa},
howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-cameroon-uneca-health}}
}
License
Released under CC BY 4.0.
Original source rights remain with the original publisher or data provider. Electric Sheep Africa engineering standardizes discovery metadata, documentation, and usage guidance for analysis on Hugging Face.
About Electric Sheep Africa
Electric Sheep Africa publishes ML-ready African public datasets on Hugging Face.
Provenance: metadata-backed README standardized 2026-08-12 by the Electric Sheep Africa README system. Inventory source: catalog/esa_metadata_inventory/master_metadata.jsonl.
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