electricsheepafrica/africa-sudan-global-subnational-population-statistics-24749842

Global - Subnational Population Statistics | Africa (Sudan official open data)

258,486 rows - 1 Africa country - 2001-2025 - Repackaged by Electric Sheep Africa

TL;DR

This dataset packages one official CSV resource from Sudan 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: Global - Subnational Population Statistics
• Publisher: HDX
• Resource: cod_population_admin1.csv
• Format: CSV
• License: CC BY 4.0
• Packaging mode: indicator_long

Geographic coverage

1 Africa country:

Country	Rows	First year	Last year	Name
SDN	258,486	2001	2025	Sudan

Indicators or Resource Contents

• global-subnational-population-statistics-age-min-6a807a63 - Global - Subnational Population Statistics - age min
• global-subnational-population-statistics-age-max-88a31d7d - Global - Subnational Population Statistics - age max
• global-subnational-population-statistics-population-82964035 - Global - Subnational Population Statistics - population

Schema

Column	Type	Description	Example
indicator_id	string	Stable indicator identifier.	global-subnational-population-statistics-age-min-6a807a63
indicator_name	string	Human-readable indicator name.	Global - Subnational Population Statistics - age min
country_iso3	string	ISO3 country code.	SDN
country_name	string	Country name.	Sudan
year	Int64	Observation year.	2021
value	float64	Numeric observation value.	0.0
unit	string	Measurement unit, when available.	source_units_unspecified
dimension_iso3	string	Source dimension.	ALB
dimension_country	string	Source dimension.	Albania
dimension_adm1_pcode	string	Source dimension.	AL01
dimension_adm1_name	string	Source dimension.	Berat
dimension_population_group	string	Source dimension.	F_00_04
dimension_gender	string	Source dimension.	f
dimension_age_range	string	Source dimension.	0-4
dimension_source	string	Source dimension.	UNFPA
dimension_contributor	string	Source dimension.	UNFPA
source_period_start_year	Int64	First year inferred from source resource metadata.	``
source_period_end_year	Int64	Last year inferred from source resource metadata.	``
source_period_label	string	Human-readable period inferred from source resource metadata.	``
source_provider	category	Publishing organization.	HDX
source_dataset	category	Source package title.	Global - Subnational Population Statistics
source_resource	category	Source resource title.	cod_population_admin1.csv
source_package_id	category	CKAN package UUID.	27e3d1c6-c57a-4159-85a4-adb6b7aca6b9
source_resource_id	category	CKAN resource UUID.	3f7e17af-4ffa-455a-874c-6bf75e031730
source_url	category	Original source resource URL.	https://data.humdata.org/dataset/27e3d1c6-c57a-4159-85a4-adb6b7aca6b9/re
license_id	category	Source license identifier.	cc-by
retrieved_at	category	UTC retrieval timestamp.	2026-08-19T06:27:19Z

Usage

from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-sudan-global-subnational-population-statistics-24749842")
df = ds["train"].to_pandas()
print(df.head())

Filter to one country

sample_country = df[df["country_iso3"] == "SDN"]

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_sudan_global_subnational_population_statistics_24749842_2025,
  title        = {Global - Subnational Population Statistics | Africa (Sudan official open data)},
  author       = {HDX},
  year         = {2025},
  url          = {https://data.humdata.org/dataset/cod-ps-global},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-sudan-global-subnational-population-statistics-24749842}}
}

License

Released under CC BY 4.0.

Original data (c) HDX. 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 2026-08-19 via the Electric Sheep pipeline. Source URL: https://data.humdata.org/dataset/27e3d1c6-c57a-4159-85a4-adb6b7aca6b9/resource/3f7e17af-4ffa-455a-874c-6bf75e031730/download/cod_population_admin1.csv