Datasets:

electricsheepafrica
/

Age-Standardized-Prevalence-Of-Hypertension-Among-for-African-Countries

Year stringdate 1990-01-01 00:00:00 2019-01-01 00:00:00	Algeria float64 44.9 54.2	Angola float64 50.9 56.1	Benin float64 39 50.4	Botswana float64 53.4 59.4	Burkina Faso float64 40.2 49.8	Burundi float64 48 51.5	Cabo Verde float64 49.1 58	Cameroon float64 41.4 50.6	Central African Republic float64 50.3 55.8	Chad float64 51.2 56.1	Comoros float64 45.4 49.8	Congo float64 51.1 58.3	Côte d'Ivoire float64 45.8 53.1	Democratic Republic of the Congo float64 41.9 52.3	Djibouti float64 48.4 51.6	Egypt float64 45 48.3	Equatorial Guinea float64 51.6 58.3	Eritrea float64 30.3 39.2	Eswatini float64 54.2 58.9	Ethiopia float64 33.3 42	Gabon float64 47.2 54.3	Gambia float64 48.9 55.6	Ghana float64 43.4 50.8	Guinea float64 52.6 57.5	Guinea-Bissau float64 51.5 56.2	Kenya float64 43.4 50.5	Lesotho float64 52.1 57.7	Liberia float64 50.1 55.8	Libya float64 49.4 55.8	Madagascar float64 49.3 54.2	Malawi float64 39.2 49.2	Mali float64 47 53.7	Mauritania float64 51.7 56.6	Mauritius float64 35.3 41.4	Morocco float64 43.8 53.5	Mozambique float64 48.2 53.1	Namibia float64 52 57.9	Niger float64 51.3 57.4	Nigeria float64 44 52.8	Rwanda float64 39.9 46.7	Sao Tome and Principe float64 54.6 59.3	Senegal float64 52.1 56.8	Seychelles float64 49 52.7	Sierra Leone float64 52 57.7	Somalia float64 49.2 52.7	South Africa float64 45.2 51.7	South Sudan float64 48.4 51.5	Sudan float64 50.9 54.3	Togo float64 45.8 53	Tunisia float64 41.5 51.2	Uganda float64 42.2 48.7	United Republic of Tanzania float64 44.3 49.7	Zambia float64 42 49.9	Zimbabwe float64 54.7 63.1
1990-01-01	54.2	55.3	50.4	58	49.8	51.1	58	49.4	55.8	55.9	49.8	56.5	52.8	49.6	51.4	46.3	55.6	39.2	58.9	42	53.6	55.6	50.8	57.5	55.4	50.5	57.5	55.8	55.8	53.3	49.2	53.7	56.1	35.7	53.5	53.1	57	57.4	52.8	46.7	59.3	56.8	51.2	57.7	52.7	49.9	51.4	54.3	53	51.2	48.7	49.7	49.9	58.4
1991-01-01	53.1	54.4	49	56.9	48.3	50.4	56.8	48.1	54.7	54.9	48.8	55.4	51.4	48.3	50.8	45.8	54.7	37.9	57.9	40.4	52.3	54.4	49.9	56.3	54.2	49.6	56.2	54.6	54.7	52.4	48.3	52.6	55.1	35.4	52.6	51.9	55.9	56.4	51.6	45.5	58.3	55.8	50.3	56.4	51.6	48.8	50.4	53.5	51.8	49.9	47.5	48.7	48.9	57.3
1992-01-01	52.2	53.7	48.1	56.2	47.2	49.7	56	46.8	53.6	54	48	54.5	50.3	47	50.2	45.4	53.9	36.7	57.1	39.1	51.3	53.1	49	55.2	53.4	48.8	55.3	53.6	54.1	51.6	47.6	51.5	54.1	35.3	51.8	51	55.2	55.2	50.5	44.4	57.4	54.6	49.7	55.6	50.8	47.9	49.6	52.6	50.7	48.4	46.5	47.9	48.2	56.6
1993-01-01	51.5	53.1	47.1	55.5	46.3	49.1	55.3	45.6	52.7	53	47.4	53.5	49.4	45.9	49.4	45.1	53.2	35.5	56.2	37.9	50.5	52.2	48.3	54.7	52.6	48.2	54.4	52.8	53.3	50.9	46.8	50.4	53.3	35.4	51.1	50.3	54.6	54.3	49.5	43.7	56.7	53.8	49.4	54.7	50.2	47	49.1	52	49.6	47.2	46	47.2	47.8	55.9
1994-01-01	50.5	52.1	46.3	54.9	45.5	48.6	54.5	44.8	52	52.3	47.1	52.8	48.5	44.9	49	45	52.7	34.6	55.6	36.9	49.7	51.3	47.5	54	52.1	47.7	53.5	52.2	53	50.3	46.5	49.7	52.8	35.7	50.7	49.6	53.8	53.5	48.7	43.1	56.1	53.2	49.1	54.1	49.9	46.2	48.8	51.7	48.6	46.1	45.3	46.6	47.3	55.3
1995-01-01	50.1	51.8	45.5	54.3	44.7	48.3	54	44.2	51.6	51.8	46.8	52.3	47.7	44	48.7	45	52.4	33.8	55.2	36.1	49.1	50.7	46.9	53.6	51.8	47.4	53	51.8	52.5	50	46	49.2	52.5	36.1	50.2	49	53.3	52.8	48	42.5	55.8	52.8	49	53.5	49.4	45.6	48.6	51.3	48	45.3	44.8	46.2	46.9	54.8
1996-01-01	49.6	51.4	44.9	54	44.2	48.1	53.6	43.4	51.1	51.6	46.4	52	47.1	43.5	48.5	45.2	52.2	33	54.7	35.4	48.6	50.3	46.6	53.2	51.7	47.2	52.5	51.3	52.1	49.8	45.6	48.4	52.1	36.5	50	48.6	52.7	52.5	47.1	42.1	55.5	52.3	49	52.9	49.3	45.3	48.5	51	47.4	44.6	44.3	45.9	46.5	54.8
1997-01-01	49.2	51.1	44.5	53.7	43.7	48	53.1	42.7	50.8	51.3	46.3	51.6	46.8	43	48.4	45.3	52	32.4	54.6	34.8	48.3	50	46.3	52.9	51.5	47.2	52.2	50.8	51.7	49.6	45.5	47.9	52.1	37	50	48.4	52.3	52.1	46.6	42.1	55.2	52.2	49.1	52.5	49.2	45.2	48.4	50.9	47.1	44.1	43.9	45.5	46.3	54.8
1998-01-01	49	51.1	44.1	53.5	43.4	48.2	52.8	42.3	50.5	51.2	46.2	51.3	46.3	42.7	48.6	45.5	51.8	31.9	54.3	34.3	47.8	49.6	45.9	52.6	51.5	47	52.2	50.7	51.7	49.3	45.3	47.3	51.9	37.6	49.7	48.2	52.2	51.6	46.1	41.7	55.1	52.1	49.3	52.4	49.3	45.4	48.5	50.9	46.9	43.7	43.7	45.4	46.2	54.7
1999-01-01	48.7	51	43.5	53.5	43.2	48.3	52.6	42	50.5	51.3	46	51.2	46.1	42.3	48.8	45.7	51.6	31.4	54.2	33.9	47.4	49.3	45.9	52.6	51.5	46.8	52.1	50.6	51.5	49.3	45.1	47.1	51.7	38.1	49.6	48.2	52	51.4	45.9	41.4	54.9	52.3	49.5	52.1	49.3	45.8	48.4	51.1	46.8	43.4	43.9	45.4	46.1	55.2
2000-01-01	48.5	50.9	43.4	53.4	43.2	48.4	52.5	41.6	50.5	51.2	45.9	51.1	45.9	42	49	45.9	51.7	31.1	54.3	33.7	47.4	49.2	45.7	52.7	51.6	46.9	52.2	50.6	51.3	49.4	45.2	47	51.7	38.7	49.6	48.2	52	51.3	45.6	41.3	54.8	52.4	49.7	52	49.3	46.1	48.6	51.3	46.5	43.1	43.9	45.5	46.1	55.6
2001-01-01	48.5	51	43.2	53.5	43.1	48.7	52.4	41.6	50.3	51.4	46.1	51.2	45.8	41.9	49	45.9	51.7	30.8	54.4	33.4	47.2	49.2	45.6	52.7	51.5	47	52.3	50.4	51.2	49.6	45.1	47	51.8	39.2	49.3	48.5	52.1	51.4	45.5	41.2	54.9	52.6	50	52.2	49.4	46.7	48.9	51.5	46.3	42.9	43.9	45.7	46.1	56.2
2002-01-01	48.3	51.1	42.9	53.6	43.1	48.9	52.4	41.4	50.6	51.5	46.1	51.4	45.8	42	49.3	45.9	51.8	30.5	54.4	33.4	47.2	49.1	45.6	52.8	51.6	47.2	52.3	50.4	51.1	49.8	45	47.1	52.1	39.8	49.1	48.5	52.1	51.4	45.3	41.4	55	52.8	50.3	52.3	49.5	47.3	49	51.6	46.3	42.7	43.9	46	46.3	56.9
2003-01-01	48.1	51.2	42.6	53.9	43.1	49.2	52.4	41.4	50.8	51.5	46.2	51.7	45.9	42	49.5	45.8	52.2	30.4	54.6	33.3	47.2	49.3	45.6	53	51.8	47.4	52.3	50.4	50.9	50	45.1	47.1	52.2	40.3	48.8	48.7	52.2	51.5	45.1	41.4	55	53.1	50.5	52.3	49.8	47.9	49.1	52	46.2	42.5	44	46.1	46.4	57.3
2004-01-01	47.9	51.3	42.3	54.2	42.8	49.6	52.4	41.7	50.8	51.6	46.4	51.9	46	42.1	49.7	45.8	52.4	30.4	54.8	33.4	47.4	49.3	45.7	53	52.1	47.5	52.4	50.3	50.7	50.2	45	47.2	52.3	40.8	48.8	48.8	52.4	51.6	44.9	41.3	55.1	53.4	50.7	52.3	50.1	48.6	49.5	52.5	46.2	42.2	44	46.3	46.4	57.8
2005-01-01	47.6	51.5	42	54.4	42.5	49.7	52.4	41.9	50.7	51.7	46.4	51.9	46.1	42.3	50	45.7	52.8	30.3	55	33.6	47.5	49.2	45.7	53	52.2	47.5	52.5	50.4	50.5	50.4	45	47.3	52.4	41.1	48.4	49.1	52.6	51.6	44.8	41.2	55.1	53.5	50.8	52.4	50.2	49.3	49.8	52.8	46.1	42	44.1	46.3	46.5	58.2
2006-01-01	47.3	51.4	41.7	54.5	42.3	50	52.2	42.1	50.7	51.8	46.4	52.2	46.3	42.6	50.2	45.6	53	30.3	55.1	33.9	47.6	49.1	45.4	53.1	52.3	47.5	52.6	50.4	50.1	50.8	44.9	47.5	52.9	41.3	48.1	49.3	52.8	51.6	44.7	41.2	55.2	53.4	51.1	52.4	50.3	49.9	50	53	46.1	41.8	44.1	46.4	46.4	58.7
2007-01-01	46.9	51.5	41.3	54.7	42	50.2	52.1	42.4	50.6	52.1	46.3	52.5	46.5	43	50.5	45.5	53.2	30.4	55.1	34.2	47.7	49.2	45.1	53.2	52.4	47.3	52.7	50.4	49.9	51	44.7	47.5	52.9	41.4	47.7	49.5	52.9	51.9	44.5	41.3	55.1	53.5	51.1	52.5	50.4	50.4	50.1	53.3	46	41.6	44	46.5	46.4	59.1
2008-01-01	46.6	51.6	40.9	54.8	41.8	50.3	52	42.6	50.5	52.1	46.2	52.8	46.8	43.4	50.7	45.4	53.3	30.4	55.2	34.6	47.7	49.1	44.8	53.1	52.5	47.1	52.6	50.3	49.7	51	44.3	47.6	53.1	41.3	47.4	49.8	53	51.9	44.3	41.2	55.2	53.6	51.2	52.6	50.4	50.7	50	53.3	45.9	41.6	43.8	46.3	46.1	59.4
2009-01-01	46.4	51.6	40.6	54.8	41.5	50.2	51.7	42.8	50.5	52	46	52.9	47	43.7	50.7	45.3	53.7	30.3	55.1	34.9	47.8	49	44.5	53.1	52.8	46.7	52.5	50.2	49.5	51.3	43.8	47.7	53	41	47	49.9	52.9	52.2	44.2	40.9	55.2	53.6	51.2	52.5	50.5	50.8	50	53.3	45.8	41.6	43.5	46.1	45.8	59.6
2010-01-01	46	51.8	40.2	54.8	41	50.3	51.4	43.2	50.5	52	45.8	53.1	47.1	44.1	50.8	45.4	53.9	30.5	55.1	35.2	48.1	49	44.2	53.2	52.9	46.2	52.4	50.2	49.4	51.3	43.1	47.9	53.1	40.7	46.7	49.9	53	52.3	44.2	40.5	55.1	53.6	51.1	52.6	50.3	50.9	49.9	53	45.9	41.5	43.1	45.6	45.3	59.8
2011-01-01	45.8	51.7	39.8	54.9	40.6	50.1	51.1	43.5	50.3	52	45.6	53.3	47.2	44.6	50.7	45.5	53.9	30.8	55.3	35.4	48.2	48.9	43.9	53.2	52.7	45.6	52.3	50.1	49.4	51.4	42.5	48.1	53.1	40.3	46.3	49.9	53	52.4	44	40.3	54.9	53.4	51	52.9	50.2	50.7	49.9	52.7	45.8	41.7	42.9	45.2	44.7	59.9
2012-01-01	45.5	51.7	39.4	54.9	40.3	50	50.6	44	50.3	52.3	45.4	53.4	47.7	45.3	50.5	45.5	54.1	31	55.3	35.6	48.5	49.2	43.6	53.3	52.7	45.1	52.3	50.2	49.5	51.5	41.8	48.3	53.1	39.9	45.8	49.8	53.1	52.6	44	40	54.8	53.5	50.9	53.1	50.1	50.4	49.8	52.5	45.9	41.8	42.4	44.7	44.1	60
2013-01-01	45.3	51.7	39.2	55.1	40.2	49.9	50.2	44.4	50.5	52.5	45.5	53.8	48.1	45.7	50.4	45.6	54.2	31.4	55.3	35.8	48.9	49.4	43.5	53.5	52.8	44.6	52.3	50.4	49.5	51.6	41.1	48.7	53.2	39.4	45.3	49.8	53.4	53	44	39.9	54.6	53.6	50.8	53.5	50.1	50.1	49.6	52.3	46.3	42	42.2	44.5	43.6	59.9
2014-01-01	45.1	51.9	39.1	55.4	40.4	50.2	49.9	45	50.7	52.8	45.7	54.3	48.6	46.4	50.2	45.8	54.6	31.9	55.4	36.2	49.6	49.7	43.4	53.5	53	44.1	52.7	50.6	49.6	51.7	40.4	48.8	53.4	39.1	44.7	50	53.6	53.6	44	39.9	54.6	53.7	50.7	53.8	49.9	50.1	49.8	52	46.8	42.2	42.2	44.3	43	60
2015-01-01	45	52.4	39	55.8	40.6	50.4	49.6	45.7	50.9	53.1	46.2	54.8	49	47.3	50.1	46	54.8	32.5	55.7	36.9	50.3	50.3	43.6	53.9	53.4	43.6	53.4	51.1	49.6	51.9	39.9	49.4	53.7	38.9	44.4	50.4	54.2	54.2	44.3	40.3	54.7	53.8	50.9	54.2	49.9	50	49.9	51.9	47.4	42.6	42.3	44.3	42.6	60.5
2016-01-01	44.9	52.9	39.2	56.5	40.9	50.4	49.2	46.7	51.4	53.7	46.5	55.5	49.7	48.3	50.2	46.3	55.6	33.2	56.3	37.7	51.1	51	44.1	54.5	53.9	43.4	54.3	51.8	49.8	52.3	39.5	50.1	54.2	38.9	44	50.8	54.9	54.8	44.7	40.6	55	54.1	51.2	54.7	50	50.1	50.1	52.1	48	43	42.7	44.3	42.2	61
2017-01-01	45	53.8	39.4	57.3	41.5	50.5	49.1	47.9	52	54.3	47.3	56.3	50.9	49.5	50.5	46.9	56.5	34.1	56.8	38.6	52	51.7	44.6	55.2	54.6	43.4	55.2	52.5	50.1	52.8	39.2	51	54.8	39	43.8	51.4	55.8	55.4	45.2	41.3	55.4	54.7	51.7	55.6	50.4	50.5	50.6	52.4	48.8	43.6	43.4	44.6	42	61.7
2018-01-01	45.3	54.9	39.8	58.3	42.3	50.8	49.1	49.1	52.7	55.4	48.1	57.2	51.9	51	51.1	47.5	57.4	35.5	57.8	39.5	53.1	52.7	45.4	56	55.3	43.7	56.5	53.5	50.4	53.5	39.3	51.9	55.6	39.2	43.9	52.1	56.8	56.3	46	42	56	55.3	52.1	56.4	51	50.9	50.9	53	49.7	44.2	44.1	45.1	42	62.4
2019-01-01	45.7	56.1	40.4	59.4	43.2	51.5	49.2	50.6	53.6	56.1	49.2	58.3	53.1	52.3	51.6	48.3	58.3	36.6	58.8	40.6	54.3	53.8	46.3	56.7	56.2	44.3	57.7	54.5	51	54.2	39.4	53.1	56.6	39.5	44.2	53	57.9	57.4	47	42.8	56.6	56.3	52.7	57.3	51.8	51.7	51.5	54	51	45	45.3	45.5	42.2	63.1

Age Standardized Prevalence Of Hypertension Among for African Countries | Africa (World Health Organization)

Size category: n<1K - Formats: csv - 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: Age Standardized Prevalence Of Hypertension Among Adults Aged 30 To 79 Years for African Countries Dataset Description This dataset contains 'Age Standardized Prevalence Of Hypertension Among Adults Aged 30 To 79 Years' data for all 54 African countries, sourced from the World Health Organization (WHO). The data is structured with years as rows and countries as columns, facilitating time-series analysis. Missing values have been handled using linear interpolation followed… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/Age-Standardized-Prevalence-Of-Hypertension-Among-for-African-Countries.

Dataset Profile

Field	Value
Hugging Face repo	`electricsheepafrica/Age-Standardized-Prevalence-Of-Hypertension-Among-for-African-Countries`
Sector	health
Topic tags	health
Modalities	`tabular`, `text`
Formats	`csv`
Size category	`n<1K`
Countries	Africa-wide or source-defined African coverage
ISO3 coverage	`not declared`
Last modified on HF	`2025-06-21 13:25:37+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/Age-Standardized-Prevalence-Of-Hypertension-Among-for-African-Countries")
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: country, upstream_publisher, language.
Do not infer policy meaning from labels alone; confirm definitions, units, and methods in the source material.

Source And Provenance

Source context: World Health Organization
Publisher/source attribution: WHO public data
License: apache-2.0
Hugging Face URL: https://huggingface.co/datasets/electricsheepafrica/Age-Standardized-Prevalence-Of-Hypertension-Among-for-African-Countries
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_age_standardized_prevalence_of_hypertension_among_for_african_countries_2026,
  title        = {Age Standardized Prevalence Of Hypertension Among for African Countries | Africa (World Health Organization)},
  author       = {WHO public data},
  year         = {2026},
  url          = {https://huggingface.co/datasets/electricsheepafrica/Age-Standardized-Prevalence-Of-Hypertension-Among-for-African-Countries},
  publisher    = {Hugging Face Datasets, engineered by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/Age-Standardized-Prevalence-Of-Hypertension-Among-for-African-Countries}}
}

License

Released under apache-2.0.

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.

Downloads last month: 22

Number of rows:

Total file size:

17.5 kB