Datasetpublic

electricsheepafrica/africa-eritrea-african-regional-energy-statistics-2014-cda1a78f

African Regional Energy Statistics, 2014 | Africa (Eritrea official open data) 51,051 rows - 1 Africa country - 2000-2014 - Repackaged by Electric Sheep Africa TL;DR This dataset packages one official XLSX resource from Eritrea 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: African Regional Energy Statistics, 2014… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/africa-eritrea-african-regional-energy-statistics-2014-cda1a78f.

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Dataset Card

African Regional Energy Statistics, 2014 | Africa (Eritrea official open data)

51,051 rows - 1 Africa country - 2000-2014 - Repackaged by Electric Sheep Africa

TL;DR

This dataset packages one official XLSX resource from Eritrea 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: African Regional Energy Statistics, 2014
—Publisher: African Development Bank Group (inactive)
—Resource: African Regional Energy Statistics, 2014.xlsx
—Format: XLSX
—License: CC BY 4.0
—Packaging mode: indicator_long

Geographic coverage

1 Africa country:

Country	Rows	First year	Last year	Name
`ERI`	51,051	2000	2014	`Eritrea`

Indicators or Resource Contents

—african-regional-energy-statistics-2014-indicator-a4be342c - African Regional Energy Statistics, 2014 - indicator
—african-regional-energy-statistics-2014-region-03da8d83 - African Regional Energy Statistics, 2014 - region
—african-regional-energy-statistics-2014-value-8e7bf1cf - African Regional Energy Statistics, 2014 - value

Schema

Column	Type	Description	Example
`indicator_id`	`string`	Stable indicator identifier.	`african-regional-energy-statistics-2014-indicator-a4be342c`
`indicator_name`	`string`	Human-readable indicator name.	`African Regional Energy Statistics, 2014 - indicator`
`country_iso3`	`string`	ISO3 country code.	`ERI`
`source_sheet`	`string`	Workbook sheet name, when the source is a spreadsheet.	`Sheet1`
`country_name`	`string`	Country name.	`Eritrea`
`year`	`Int64`	Observation year.	`2006`
`value`	`float64`	Numeric observation value.	`102.0`
`unit`	`string`	Measurement unit, when available.	`source_units_unspecified`
`dimension_indicatorname`	`string`	Source dimension.	`Final Consumption of coking coal, 1000 tonnes`
`dimension_regionname`	`string`	Source dimension.	`Ethiopia`
`dimension_unit`	`string`	Source dimension.	`thousand tonnes`
`source_period_start_year`	`Int64`	First year inferred from source resource metadata.	`2014`
`source_period_end_year`	`Int64`	Last year inferred from source resource metadata.	`2014`
`source_period_label`	`category`	Human-readable period inferred from source resource metadata.	`2014`
`source_provider`	`category`	Publishing organization.	`African Development Bank Group (inactive)`
`source_dataset`	`category`	Source package title.	`African Regional Energy Statistics, 2014`
`source_resource`	`category`	Source resource title.	`African Regional Energy Statistics, 2014.xlsx`
`source_package_id`	`category`	CKAN package UUID.	`7e7a0724-2959-4239-aa0d-6d5bf61f07f9`
`source_resource_id`	`category`	CKAN resource UUID.	`8baa395b-4c44-47b6-ba95-193b50ec3ef1`
`source_url`	`category`	Original source resource URL.	`https://data.humdata.org/dataset/7e7a0724-2959-4239-aa0d-6d5bf61f07f9/re`
`license_id`	`category`	Source license identifier.	`cc-by`
`retrieved_at`	`category`	UTC retrieval timestamp.	`2026-08-18T19:19:42Z`

Usage

python

from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-eritrea-african-regional-energy-statistics-2014-cda1a78f")
df = ds["train"].to_pandas()
print(df.head())

Filter to one country

python

sample_country = df[df["country_iso3"] == "ERI"]

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_eritrea_african_regional_energy_statistics_2014_cda1a78f_2014,
  title        = {African Regional Energy Statistics, 2014 | Africa (Eritrea official open data)},
  author       = {African Development Bank Group (inactive)},
  year         = {2014},
  url          = {https://data.humdata.org/dataset/african-regional-energy-statistics-2014},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-eritrea-african-regional-energy-statistics-2014-cda1a78f}}
}

License

Released under CC BY 4.0.

Original data (c) African Development Bank Group (inactive). 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 2026-08-18 via the Electric Sheep pipeline. Source URL: https://data.humdata.org/dataset/7e7a0724-2959-4239-aa0d-6d5bf61f07f9/resource/8baa395b-4c44-47b6-ba95-193b50ec3ef1/download/african-regional-energy-statistics-2014.xlsx