electricsheepafrica/africa-liberia-liberia-high-resolution-population-density-maps-demographi-2048c7f8

Liberia: High Resolution Population Density Maps + Demographic Estimates | Africa (Liberia official open data)

984,297 rows - 1 Africa country - 2020 - Repackaged by Electric Sheep Africa

TL;DR

This dataset packages one official ZIP resource from Liberia 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: Liberia: High Resolution Population Density Maps + Demographic Estimates
• Publisher: AI for Good at Meta
• Resource: lbr_youth_15_24_2020_csv.zip
• Format: ZIP
• License: CC BY 4.0
• Packaging mode: tabular_resource

Geographic coverage

1 Africa country:

Country	Rows	First year	Last year	Name
LBR	984,297	2020	2020	Liberia

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.	b6e5a5ba-0c68-42ff-87d5-6039c690ed51:0
country_iso3	category	ISO3 country code.	LBR
country_name	category	Country name.	Liberia
year	Int64	Observation year.	2020
longitude	float64	Source column.	-11.98513888875377
latitude	float64	Source column.	9.000138888838748
lbr_youth_15_24_2020	float64	Source column.	1.763018
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.	2020
source_period_label	category	Human-readable period inferred from source resource metadata.	2020
source_provider	category	Publishing organization.	AI for Good at Meta
source_dataset	category	Source package title.	Liberia: High Resolution Population Density Maps + Demographic Estimates
source_resource	category	Source resource title.	lbr_youth_15_24_2020_csv.zip
source_package_id	category	CKAN package UUID.	253b4335-2ccf-40b7-b94b-08abd40401ec
source_resource_id	category	CKAN resource UUID.	b6e5a5ba-0c68-42ff-87d5-6039c690ed51
source_url	category	Original source resource URL.	https://data.humdata.org/dataset/253b4335-2ccf-40b7-b94b-08abd40401ec/re
license_id	category	Source license identifier.	cc-by
retrieved_at	category	UTC retrieval timestamp.	2026-08-15T14:15:22Z

Usage

from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-liberia-liberia-high-resolution-population-density-maps-demographi-2048c7f8")
df = ds["train"].to_pandas()
print(df.head())

Filter to one country

sample_country = df[df["country_iso3"] == "LBR"]

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_liberia_liberia_high_resolution_population_density_maps_demographi_2048c7_2020,
  title        = {Liberia: High Resolution Population Density Maps + Demographic Estimates | Africa (Liberia official open data)},
  author       = {AI for Good at Meta},
  year         = {2020},
  url          = {https://data.humdata.org/dataset/highresolutionpopulationdensitymaps-lbr},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-liberia-liberia-high-resolution-population-density-maps-demographi-2048c7f8}}
}

License

Released under CC BY 4.0.

Original data (c) AI for Good at Meta. 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 2026-08-15 via the Electric Sheep pipeline. Source URL: https://data.humdata.org/dataset/253b4335-2ccf-40b7-b94b-08abd40401ec/resource/b6e5a5ba-0c68-42ff-87d5-6039c690ed51/download/lbr_youth_15_24_2020_csv.zip