electricsheepafrica/africa-libya-libya-accessibility-indicators-39eff588

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

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

TL;DR

This dataset packages one official CSV resource from Libya 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: Libya - Accessibility Indicators
• Publisher: HeiGIT (Heidelberg Institute for Geoinformation Technology)
• Resource: LBY_education_access_wide.csv
• Format: CSV
• License: CC BY-SA
• Packaging mode: tabular_resource

Geographic coverage

1 Africa country:

Country	Rows	First year	Last year	Name
LBY	230	2020	2025	Libya

Indicators or Resource Contents

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

Schema

Column	Type	Description	Example
source_record_id	string	Stable row identifier for tabular resources.	21605e5c-9307-402c-8ba4-e3e6a6961782:0
country_iso3	category	ISO3 country code.	LBY
country_name	category	Country name.	Libya
name	string	Source column.	Az Zawiyah
iso	string	Source column.	LY-ZA
id	string	Source column.	10800210B15874653580067
country	string	Source column.	LBY
admin_level	string	Source column.	ADM1
category	string	Source column.	education
range_type	string	Source column.	DISTANCE
range	int64	Source column.	5000
population	int64	Source column.	638783
school_age_population	int64	Source column.	229753
school_age_population_share	float64	Source column.	94.9
school_age_population_interval	int64	Source column.	229753
school_age_population_interval_share	float64	Source column.	94.9
population_share	float64	Source column.	94.9
population_interval	int64	Source column.	638783
population_interval_share	float64	Source column.	94.9
source_period_start_year	Int64	First year inferred from source resource metadata.	2020
source_period_end_year	Int64	Last year inferred from source resource metadata.	2025
source_period_label	category	Human-readable period inferred from source resource metadata.	2020-2025
source_provider	category	Publishing organization.	HeiGIT (Heidelberg Institute for Geoinformation Technology)
source_dataset	category	Source package title.	Libya - Accessibility Indicators
source_resource	category	Source resource title.	LBY_education_access_wide.csv
source_package_id	category	CKAN package UUID.	3f54ce5a-bca1-4a8c-8978-502b5db0ea6d
source_resource_id	category	CKAN resource UUID.	21605e5c-9307-402c-8ba4-e3e6a6961782
source_url	category	Original source resource URL.	https://hot.storage.heigit.org/heigit-hdx-public/access/lby/LBY_educatio
license_id	category	Source license identifier.	cc-by-sa
retrieved_at	category	UTC retrieval timestamp.	2026-08-17T13:13:43Z

Usage

from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-libya-libya-accessibility-indicators-39eff588")
df = ds["train"].to_pandas()
print(df.head())

Filter to one country

sample_country = df[df["country_iso3"] == "LBY"]

Work with indicators

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

@misc{electric_sheep_africa_africa_libya_libya_accessibility_indicators_39eff588_2025,
  title        = {Libya - Accessibility Indicators | Africa (Libya official open data)},
  author       = {HeiGIT (Heidelberg Institute for Geoinformation Technology)},
  year         = {2025},
  url          = {https://data.humdata.org/dataset/libya-accessibility-indicators},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-libya-libya-accessibility-indicators-39eff588}}
}

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

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Provenance: ingested 2026-08-17 via the Electric Sheep pipeline. Source URL: https://hot.storage.heigit.org/heigit-hdx-public/access/lby/LBY_education_access_wide.csv