Datasets:

electricsheepafrica
/

population-using-basic-sanitation-services-for-african-countries

Date stringdate 2000-01-01 00:00:00 2022-01-01 00:00:00	Algeria float64 82.7 84.6	Angola float64 27.5 44.7	Benin float64 10.6 19.6	Botswana float64 50.8 71.9	Burkina Faso float64 24.9 29.4	Burundi float64 43.1 44.5	Cabo Verde float64 35.7 81.4	Cameroon float64 39.4 39.9	Central African Republic float64 15.1 24.3	Chad float64 14.4 22	Comoros float64 33.7 38.7	Djibouti float64 34.7 50.6	Equatorial Guinea float64 55 63.6	Eritrea float64 13.8 14.4	Eswatini float64 55 60.1	Ethiopia float64 7.83 13.9	Gabon float64 32.4 45.3	Ghana float64 6.81 27.5	Guinea float64 12.6 34.4	Guinea-Bissau float64 5.74 29.1	Kenya float64 28.8 37.5	Lesotho float64 13.1 49.4	Liberia float64 13.2 21.8	Madagascar float64 5.45 15.9	Malawi float64 15.4 48.8	Mali float64 21 51	Mauritania float64 21.7 52.2	Mauritius float64 90.4 95.9	Morocco float64 66.5 83.9	Mozambique float64 16.3 42	Namibia float64 34.7 36.2	Niger float64 13.1 30.9	Nigeria float64 28.1 45.7	Rwanda float64 51.9 65.9	Sao Tome and Principe float64 20.1 44.9	Senegal float64 40.7 60.4	Sierra Leone float64 9.53 24.2	Somalia float64 26.8 41.4	South Africa float64 57.7 77.7	South Sudan float64 11.5 25.5	Sudan float64 25.8 42.2	Togo float64 13.2 20.6	Tunisia float64 70.4 97.3	Uganda float64 21.1 23.9	Zambia float64 26 36.7	Zimbabwe float64 36.1 49.3
2000-01-01	82.68	27.52	10.55	50.76	24.9	43.1	35.67	39.64	24.28	14.4	33.68	34.73	54.96	14.36	54.95	7.83	32.44	6.81	12.61	5.74	28.79	13.05	13.17	5.45	15.52	21.03	21.74	90.36	66.48	16.33	36.24	13.05	28.06	51.91	20.14	40.7	9.53	26.77	57.71	11.52	25.75	13.17	70.4	21.1	25.95	49.08
2001-01-01	82.86	28.48	10.92	51.86	24.9	43.53	37.78	39.51	24.19	14.62	34.91	34.73	55.62	14.31	55.31	8.06	33.27	6.85	13.32	6.34	29.07	15	13.43	5.92	15.49	22.1	22.77	90.75	67.26	17.39	36.15	13.72	28.13	52.6	21.14	41.57	9.74	27.2	58.53	11.52	25.75	13.38	71.13	21.24	26.47	49.08
2002-01-01	83.03	29.44	11.3	52.97	25.15	43.97	39.9	39.37	24.1	14.84	35.41	34.73	56.29	14.26	55.5	8.29	34.11	7.69	14.02	6.94	29.45	16.95	13.68	6.39	15.47	23.21	23.81	91.15	68.45	18.48	36.05	14.39	28.9	53.29	22.14	42.43	9.96	27.62	59.37	11.52	25.75	13.6	72.31	21.38	26.98	49.16
2003-01-01	83.2	30.39	11.69	54.09	25.39	44.4	42.01	39.42	24	15.06	35.87	34.73	56.95	14.21	55.71	8.53	34.95	8.54	14.73	7.55	29.84	18.85	13.93	6.87	15.44	24.34	24.84	91.55	69.68	19.58	35.95	15.06	29.68	53.97	23.13	43.29	10.17	28.04	60.21	11.52	25.75	13.81	73.52	21.52	27.5	49.25
2004-01-01	83.38	31.35	12.08	55.22	25.62	44.45	44.13	39.46	23.91	15.28	36.28	34.73	57.61	14.16	55.92	8.84	35.8	9.4	15.61	8.46	30.23	20.74	14.19	7.34	15.42	25.5	25.88	91.95	70.81	20.68	35.86	15.73	30.47	54.66	24.13	44.16	10.76	28.46	61.06	11.52	25.75	14.02	74.74	21.66	28.02	49.33
2005-01-01	83.55	32.3	12.49	56.35	25.85	44.48	46.24	39.5	23.37	15.5	36.64	35.81	58.27	14.12	56.15	9.14	36.65	10.28	16.51	9.58	30.62	22.62	14.44	7.82	17.32	26.69	26.91	92.35	71.61	21.8	35.76	16.53	31.26	55.34	25.25	45.03	11.36	29.1	61.92	11.52	27	14.38	75.99	21.8	28.55	48.58
2006-01-01	83.72	33.26	12.9	57.49	26.07	44.51	48.36	39.54	22.83	15.72	36.95	36.88	58.94	14.07	56.38	9.45	37.51	11.18	17.43	10.7	31.01	24.49	14.83	8.29	19.21	27.9	28.25	92.75	72.4	22.93	35.67	17.34	32.06	56.02	26.39	45.9	11.97	29.76	62.79	11.52	28.25	14.74	77.27	21.93	29.08	47.82
2007-01-01	83.89	34.22	13.32	58.64	26.28	44.52	50.47	39.58	22.29	15.94	37.22	37.95	59.6	14.02	56.61	9.76	38.37	12.09	18.36	11.84	31.4	26.34	15.23	8.77	21.1	29.14	29.61	93.15	73.2	24.06	35.58	18.15	32.87	56.69	27.54	46.78	12.61	30.44	63.66	11.52	29.61	15.11	78.56	22.06	29.6	47.06
2008-01-01	84.07	35.17	13.75	59.8	26.49	44.52	52.59	39.62	21.76	16.16	37.44	39.02	60.26	13.97	56.86	10.06	39.24	13.01	19.31	12.99	31.8	28.19	15.63	9.24	22.99	30.41	30.99	93.55	74	25.21	35.49	18.97	33.68	57.37	28.7	47.66	13.26	31.13	64.54	11.52	30.97	15.49	79.87	22.2	30.14	46.3
2009-01-01	84.24	36.13	14.19	60.97	26.69	44.51	54.7	39.65	21.23	16.56	37.61	40.09	60.92	13.92	57.11	10.36	40.11	13.95	20.28	14.16	32.19	30.02	16.04	9.72	24.86	31.71	32.39	93.96	74.81	26.36	35.4	19.8	34.5	58.04	29.88	48.54	13.93	31.83	65.43	11.52	32.35	15.87	81.21	22.33	30.67	45.54
2010-01-01	84.41	37.09	14.64	62.14	26.88	44.49	56.82	39.69	20.7	16.97	37.73	41.15	61.59	13.87	57.38	10.66	40.99	14.91	21.26	15.33	32.59	31.84	16.45	10.19	26.74	33.03	33.8	94.36	75.62	27.53	35.32	20.63	35.32	58.7	31.06	49.43	14.61	32.55	66.33	11.52	33.73	16.27	82.57	22.46	31.21	44.77
2011-01-01	84.58	38.04	15.1	63.32	27.07	44.46	58.93	39.72	20.18	17.38	37.8	42.21	62.25	13.82	57.65	10.97	41.87	15.88	22.26	16.52	32.99	33.65	16.87	10.67	28.6	34.38	35.23	94.76	76.43	28.7	35.23	21.46	36.16	59.37	32.26	50.32	15.32	33.28	67.23	11.52	35.12	16.67	83.95	22.58	31.75	44
2012-01-01	84.51	39	15.56	64.51	27.25	44.42	61.13	39.75	19.66	17.81	37.83	43.27	62.91	13.78	57.92	11.26	42.76	16.86	23.28	17.73	33.39	35.45	17.29	11.14	30.46	35.76	36.68	95.16	77.24	29.88	35.15	22.31	36.99	60.03	33.47	51.22	16.04	34.03	68.15	13.05	36.51	17.07	85.35	22.71	32.3	43.23
2013-01-01	84.43	39.95	16.04	65.71	27.42	44.37	63.34	39.78	19.15	18.24	37.81	44.33	63.58	13.78	58.21	11.56	43.65	17.86	24.31	18.94	33.8	37.24	17.71	11.62	32.32	37.16	38.15	95.54	78.06	31.07	35.06	23.15	37.84	60.69	34.7	52.12	16.77	34.79	69.07	14.65	37.92	17.49	86.77	22.83	32.84	42.45
2014-01-01	84.35	40.91	16.52	66.91	27.59	44.31	65.55	39.8	18.63	18.68	37.74	45.38	63.58	13.78	58.5	11.86	44.55	18.88	25.36	20.17	34.2	39.01	18.14	12.1	34.17	38.6	39.64	95.54	78.88	32.27	34.98	24.01	38.69	61.35	35.94	53.02	17.53	35.57	70	16.31	39.33	17.91	88.22	22.96	33.39	41.67
2015-01-01	84.27	41.87	17.01	68.12	27.75	44.24	67.78	39.83	18.12	19.13	38.65	46.43	63.58	13.78	58.81	12.16	44.71	19.91	26.43	21.41	34.61	40.78	18.58	12.57	36.01	40.06	41.14	95.53	79.7	33.48	34.9	24.87	39.55	62	37.18	53.92	18.3	36.36	70.94	18.03	40.76	18.34	89.68	23.08	33.94	40.89
2016-01-01	84.19	42.82	17.51	69.07	27.91	44.16	70.02	39.85	17.62	19.59	38.65	47.48	63.58	13.78	59.12	12.45	44.86	20.95	27.52	22.66	35.02	42.53	19.02	13.05	37.85	41.54	42.66	95.53	80.53	34.7	34.82	25.73	40.41	62.66	38.45	54.83	19.09	37.17	71.88	19.81	42.19	18.78	91.17	23.2	34.5	40.1
2017-01-01	84.11	43.78	18.01	70.01	28.06	44.06	72.27	39.87	17.12	20.05	38.65	48.53	63.58	13.78	59.44	12.74	45.02	22.01	28.62	23.93	35.43	44.27	19.46	13.53	39.69	43.06	44.2	95.52	81.36	35.93	34.75	26.6	41.28	63.31	39.72	55.75	19.9	37.99	72.83	21.66	42.19	19.22	92.68	23.32	35.05	39.32
2018-01-01	84.03	44.74	18.53	70.95	28.2	43.96	74.53	39.89	16.62	20.52	38.65	49.57	63.58	13.78	59.76	13.04	45.17	23.08	29.74	25.21	35.84	46	19.91	14	41.51	44.6	45.76	95.85	82.19	37.17	34.67	27.48	42.16	63.95	41.01	56.66	20.72	38.82	73.79	23.56	42.19	19.67	94.21	23.44	35.61	38.52
2019-01-01	83.95	44.74	19.05	71.9	28.33	43.84	76.8	39.9	16.12	21	38.65	50.61	63.58	13.78	60.1	13.33	45.33	24.17	30.88	26.5	36.25	47.72	20.36	14.48	43.34	46.17	47.34	95.83	83.03	38.41	34.65	28.36	43.05	64.6	42.31	57.58	21.56	39.67	74.76	25.53	42.19	20.13	95.77	23.55	36.18	37.73
2020-01-01	83.87	44.74	19.59	71.9	28.46	43.84	79.08	39.92	15.63	21.49	38.65	50.61	63.58	13.78	60.1	13.62	45.33	25.27	32.03	27.81	36.67	49.43	20.82	14.96	45.15	47.77	48.93	95.82	83.87	39.67	34.65	29.25	43.94	65.24	43.62	58.51	22.42	40.53	75.74	25.53	42.19	20.6	97.34	23.67	36.74	36.93
2021-01-01	83.79	44.74	19.59	71.9	28.92	43.84	81.37	39.93	15.14	21.99	38.65	50.61	63.58	13.78	60.1	13.91	45.33	26.39	33.2	29.13	37.09	49.43	21.29	15.44	46.97	49.39	50.54	95.81	83.87	40.81	34.65	30.19	44.83	65.88	44.94	59.43	23.3	41.41	76.72	25.53	42.19	20.6	97.34	23.78	36.74	36.13
2022-01-01	83.79	44.74	19.59	71.9	29.39	43.84	81.37	39.93	15.14	21.99	38.65	50.61	63.58	13.78	60.1	13.91	45.33	27.53	34.39	29.13	37.51	49.43	21.75	15.91	48.77	51.04	52.17	95.8	83.87	41.96	34.65	30.92	45.74	65.88	44.94	60.36	24.19	41.41	77.72	25.53	42.19	20.6	97.34	23.89	36.74	36.13

Population Using Basic Sanitation Services 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: license: apache-2.0 tags: - africa - sustainable-development-goals - world-health-organization - development Population using basic sanitation services (%) Dataset Description This dataset provides country-level data for the indicator "1.4.1 Population using basic sanitation services (%)" across African nations, sourced from the World Health Organization's (WHO) data portal on Sustainable Development Goals (SDGs). The data is presented in a wide format, where… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/population-using-basic-sanitation-services-for-african-countries.

Dataset Profile

Field	Value
Hugging Face repo	`electricsheepafrica/population-using-basic-sanitation-services-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	`2025-06-23 17:40:34+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/population-using-basic-sanitation-services-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, license, 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: Source-specific or other license
Hugging Face URL: https://huggingface.co/datasets/electricsheepafrica/population-using-basic-sanitation-services-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_population_using_basic_sanitation_services_for_african_countries_2026,
  title        = {Population Using Basic Sanitation Services for African Countries | Africa (World Health Organization)},
  author       = {WHO public data},
  year         = {2026},
  url          = {https://huggingface.co/datasets/electricsheepafrica/population-using-basic-sanitation-services-for-african-countries},
  publisher    = {Hugging Face Datasets, engineered by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/population-using-basic-sanitation-services-for-african-countries}}
}

License

Released under Source-specific or other license.

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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15.4 kB