electricsheepafrica/africa-libya-libya-population-statistics-13ed2671

Libya: Population Statistics | Africa (Libya official open data)

507 rows - 1 Africa country - 2021 - Repackaged by Electric Sheep Africa

TL;DR

This dataset packages one official XLSX 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: Population Statistics
• Publisher: OCHA Libya (inactive)
• Resource: LBY_POP_2021
• Format: XLSX
• License: CC BY 4.0
• Packaging mode: tabular_resource

Geographic coverage

1 Africa country:

Country	Rows	First year	Last year	Name
LBY	507	2021	2021	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.	7b1e5eff-b760-4df0-9a95-2503f0cecb79:pop-pivot:0
country_iso3	category	ISO3 country code.	LBY
country_name	category	Country name.	Libya
source_sheet	string	Workbook sheet name, when the source is a spreadsheet.	Pop pivot
year	Int64	Observation year.	2021
row_labels	string	Source column.	IDPs
sum_of_individuals	float64	Source column.	212593.0
sum_of_male_below_18	float64	Source column.	41925.0
sum_of_male_18_59	float64	Source column.	59200.0
sum_of_male_60	float64	Source column.	6000.0
sum_of_female_below_18	float64	Source column.	45290.0
sum_of_female_18_59	float64	Source column.	54514.0
sum_of_female_60	float64	Source column.	5664.0
source_period_start_year	Int64	First year inferred from source resource metadata.	2021
source_period_end_year	Int64	Last year inferred from source resource metadata.	2021
source_period_label	category	Human-readable period inferred from source resource metadata.	2021
source_provider	category	Publishing organization.	OCHA Libya (inactive)
source_dataset	category	Source package title.	Libya: Population Statistics
source_resource	category	Source resource title.	LBY_POP_2021
source_package_id	category	CKAN package UUID.	d3b4d8cf-a9db-48d5-afe3-065011ab5ab2
source_resource_id	category	CKAN resource UUID.	7b1e5eff-b760-4df0-9a95-2503f0cecb79
source_url	category	Original source resource URL.	https://data.humdata.org/dataset/d3b4d8cf-a9db-48d5-afe3-065011ab5ab2/re
license_id	category	Source license identifier.	cc-by
retrieved_at	category	UTC retrieval timestamp.	2026-08-17T13:13:43Z
mantika_pcode	string	Source column.	``
adm2_mantika_en	string	Source column.	``
baladiya_pcode	string	Source column.	``
adm3_baladiya_en	string	Source column.	``
population_group	string	Source column.	``
individuals	float64	Source column.	``
male_below_18	float64	Source column.	``
male_18_59	float64	Source column.	``
male_60	float64	Source column.	``
female_below_18	float64	Source column.	``
female_18_59	float64	Source column.	``
female_60	float64	Source column.	``
male_below_18_2	float64	Source column.	``
male_18_59_2	float64	Source column.	``
male_60_2	float64	Source column.	``
female_below_18_2	float64	Source column.	``
female_18_59_2	float64	Source column.	``
female_60_2	float64	Source column.	``

Usage

from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-libya-libya-population-statistics-13ed2671")
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_population_statistics_13ed2671_2021,
  title        = {Libya: Population Statistics | Africa (Libya official open data)},
  author       = {OCHA Libya (inactive)},
  year         = {2021},
  url          = {https://data.humdata.org/dataset/libya-total-population-by-mantika},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-libya-libya-population-statistics-13ed2671}}
}

License

Released under CC BY 4.0.

Original data (c) OCHA Libya (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

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Provenance: ingested 2026-08-17 via the Electric Sheep pipeline. Source URL: https://data.humdata.org/dataset/d3b4d8cf-a9db-48d5-afe3-065011ab5ab2/resource/7b1e5eff-b760-4df0-9a95-2503f0cecb79/download/pop-consolidated_sadd_for_hno_28aug2021.xlsx