electricsheepafrica/africa-niger-niger-accessibility-indicators-f39b4b9a

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

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

TL;DR

This dataset packages one official CSV resource from Niger 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: Niger - Accessibility Indicators
• Publisher: HeiGIT (Heidelberg Institute for Geoinformation Technology)
• Resource: NER_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
NER	716	2020	2025	Niger

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.	c763d45c-3a29-465a-98a0-b2f54145869c:0
country_iso3	category	ISO3 country code.	NER
country_name	category	Country name.	Niger
name	string	Source column.	Niger
iso	string	Source column.	NER
id	string	Source column.	22259449B93083360167036
country	string	Source column.	NER
admin_level	string	Source column.	ADM0
category	string	Source column.	education
range_type	string	Source column.	DISTANCE
range	int64	Source column.	5000
population	int64	Source column.	5011751
school_age_population	int64	Source column.	2929688
school_age_population_share	float64	Source column.	20.17
school_age_population_interval	int64	Source column.	2929688
school_age_population_interval_share	float64	Source column.	20.17
population_share	float64	Source column.	20.8
population_interval	int64	Source column.	5011751
population_interval_share	float64	Source column.	20.8
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.	Niger - Accessibility Indicators
source_resource	category	Source resource title.	NER_education_access_wide.csv
source_package_id	category	CKAN package UUID.	17e288c3-6fe7-4ddf-bc42-e8f2f4152b1c
source_resource_id	category	CKAN resource UUID.	c763d45c-3a29-465a-98a0-b2f54145869c
source_url	category	Original source resource URL.	https://hot.storage.heigit.org/heigit-hdx-public/access/ner/NER_educatio
license_id	category	Source license identifier.	cc-by-sa
retrieved_at	category	UTC retrieval timestamp.	2026-08-14T00:35:21Z

Usage

from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-niger-niger-accessibility-indicators-f39b4b9a")
df = ds["train"].to_pandas()
print(df.head())

Filter to one country

sample_country = df[df["country_iso3"] == "NER"]

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_niger_niger_accessibility_indicators_f39b4b9a_2025,
  title        = {Niger - Accessibility Indicators | Africa (Niger official open data)},
  author       = {HeiGIT (Heidelberg Institute for Geoinformation Technology)},
  year         = {2025},
  url          = {https://data.humdata.org/dataset/niger-accessibility-indicators},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-niger-niger-accessibility-indicators-f39b4b9a}}
}

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 2026-08-14 via the Electric Sheep pipeline. Source URL: https://hot.storage.heigit.org/heigit-hdx-public/access/ner/NER_education_access_wide.csv