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electricsheepafrica/africa-eswatini-eswatini-accessibility-indicators-62c902bf

Eswatini - Accessibility Indicators | Africa (Eswatini official open data) 615 rows - 1 Africa country - 2020-2025 - Repackaged by Electric Sheep Africa TL;DR This dataset packages one official CSV resource from Eswatini as ML-ready Parquet. The source file is the provenance boundary; all usable indicators or tabular columns from the resource stay together in this repo. About the source Source: Eswatini - Accessibility Indicators Publisher:… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/africa-eswatini-eswatini-accessibility-indicators-62c902bf.

sourceHugging Facecc-by-sa-4.0updated 29d agoView on Hugging Face
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Dataset Card

Eswatini - Accessibility Indicators | Africa (Eswatini official open data)

615 rows - 1 Africa country - 2020-2025 - Repackaged by Electric Sheep Africa

rows countries years indicators license

TL;DR

This dataset packages one official CSV resource from Eswatini as ML-ready Parquet. The source file is the provenance boundary; all usable indicators or tabular columns from the resource stay together in this repo.

About the source

Geographic coverage

1 Africa country:

CountryRowsFirst yearLast yearName
SWZ61520202025Eswatini

Indicators or Resource Contents

  • —This source file is packaged as a normalized tabular resource.

Schema

ColumnTypeDescriptionExample
source_record_idstringStable row identifier for tabular resources.90c0ad42-6cb8-45ce-ad73-db041d6475d3:0
country_iso3categoryISO3 country code.SWZ
country_namecategoryCountry name.Eswatini
namestringSource column.Inkhundla Ntfonjeni
isostringSource column.``
idstringSource column.25544865B10788448603865
countrystringSource column.SWZ
admin_levelstringSource column.ADM2
categorystringSource column.hospitals
range_typestringSource column.TIME
rangeint64Source column.600
populationint64Source column.3
under_5_populationint64Source column.0
under_5_population_sharefloat64Source column.0.0
under_5_population_intervalint64Source column.0
under_5_population_interval_sharefloat64Source column.0.0
school_age_populationint64Source column.1
school_age_population_sharefloat64Source column.0.01
school_age_population_intervalint64Source column.1
school_age_population_interval_sharefloat64Source column.0.01
adults_populationint64Source column.2
adults_population_sharefloat64Source column.0.01
adults_population_intervalint64Source column.2
adults_population_interval_sharefloat64Source column.0.01
women_childbearing_populationint64Source column.0
women_childbearing_population_sharefloat64Source column.0.0
women_childbearing_population_intervalint64Source column.0
women_childbearing_population_interval_sharefloat64Source column.0.0
elderly_populationint64Source column.0
elderly_population_sharefloat64Source column.0.0
elderly_population_intervalint64Source column.0
elderly_population_interval_sharefloat64Source column.0.0
population_sharefloat64Source column.0.01
population_intervalint64Source column.3
population_interval_sharefloat64Source column.0.01
source_period_start_yearInt64First year inferred from source resource metadata.2020
source_period_end_yearInt64Last year inferred from source resource metadata.2025
source_period_labelcategoryHuman-readable period inferred from source resource metadata.2020-2025
source_providercategoryPublishing organization.HeiGIT (Heidelberg Institute for Geoinformation Technology)
source_datasetcategorySource package title.Eswatini - Accessibility Indicators
source_resourcecategorySource resource title.SWZ_hospitals_access_wide.csv
source_package_idcategoryCKAN package UUID.fa52e178-9d22-49a9-86e7-ac2c2b7ae3e7
source_resource_idcategoryCKAN resource UUID.90c0ad42-6cb8-45ce-ad73-db041d6475d3
source_urlcategoryOriginal source resource URL.https://hot.storage.heigit.org/heigit-hdx-public/access/swz/SWZ_hospital
license_idcategorySource license identifier.cc-by-sa
retrieved_atcategoryUTC retrieval timestamp.2026-08-30T05:35:43Z

Usage

python
from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-eswatini-eswatini-accessibility-indicators-62c902bf")
df = ds["train"].to_pandas()
print(df.head())

Filter to one country

python
sample_country = df[df["country_iso3"] == "SWZ"]

Work with indicators

python
if "indicator_id" in df.columns:
    print(df["indicator_id"].value_counts().head())
    sample = df.sort_values([c for c in ["indicator_id", "year"] if c in df.columns])

Citation

bibtex
@misc{electric_sheep_africa_africa_eswatini_eswatini_accessibility_indicators_62c902bf_2025,
  title        = {Eswatini - Accessibility Indicators | Africa (Eswatini official open data)},
  author       = {HeiGIT (Heidelberg Institute for Geoinformation Technology)},
  year         = {2025},
  url          = {https://data.humdata.org/dataset/eswatini-accessibility-indicators},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-eswatini-eswatini-accessibility-indicators-62c902bf}}
}

License

Released under CC BY-SA.

Original data (c) HeiGIT (Heidelberg Institute for Geoinformation Technology). When using this dataset, please cite both the original source above and the Electric Sheep Africa repackaging.

About Electric Sheep

Electric Sheep Africa is part of the Electric Sheep mission: a unified, ML-ready data layer for Africa on Hugging Face. 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/electricsheepafrica

Provenance: ingested 2026-08-30 via the Electric Sheep pipeline. Source URL: https://hot.storage.heigit.org/heigit-hdx-public/access/swz/SWZhospitalsaccess_wide.csv