Datasetpublic

electricsheepafrica/africa-drc-global-subnational-population-statistics-f60bb180

Global - Subnational Population Statistics | Africa (DRC official open data) 2,841,583 rows - 1 Africa country - 2001-2025 - Repackaged by Electric Sheep Africa TL;DR This dataset packages one official CSV resource from DRC 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… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/africa-drc-global-subnational-population-statistics-f60bb180.

sourceHugging Facecc-by-4.0updated 1mo agoView on Hugging Face

0likes20downloads

Dataset Card

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

2,841,583 rows - 1 Africa country - 2001-2025 - Repackaged by Electric Sheep Africa

TL;DR

This dataset packages one official CSV resource from DRC 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_admin2.csv
—Format: CSV
—License: CC BY 4.0
—Packaging mode: indicator_long

Geographic coverage

1 Africa country:

Country	Rows	First year	Last year	Name
`COD`	2,841,583	2001	2025	`DRC`

Indicators or Resource Contents

—global-subnational-population-statistics-age-min-aa102587 - Global - Subnational Population Statistics - age min
—global-subnational-population-statistics-age-max-295ee6e9 - Global - Subnational Population Statistics - age max
—global-subnational-population-statistics-population-3b5256b5 - Global - Subnational Population Statistics - population

Schema

Column	Type	Description	Example
`indicator_id`	`string`	Stable indicator identifier.	`global-subnational-population-statistics-age-min-aa102587`
`indicator_name`	`string`	Human-readable indicator name.	`Global - Subnational Population Statistics - age min`
`country_iso3`	`string`	ISO3 country code.	`COD`
`country_name`	`string`	Country name.	`DRC`
`year`	`Int64`	Observation year.	`2024`
`value`	`float64`	Numeric observation value.	`0.0`
`unit`	`string`	Measurement unit, when available.	`source_units_unspecified`
`dimension_iso3`	`string`	Source dimension.	`AGO`
`dimension_country`	`string`	Source dimension.	`Angola`
`dimension_adm1_pcode`	`string`	Source dimension.	`AO01`
`dimension_adm1_name`	`string`	Source dimension.	`Bengo`
`dimension_adm2_pcode`	`string`	Source dimension.	`AO01001`
`dimension_adm2_name`	`string`	Source dimension.	`Ambriz`
`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.	`Institut National de la Statistique et de l'Analyse Economique (baseline`
`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_admin2.csv`
`source_package_id`	`category`	CKAN package UUID.	`27e3d1c6-c57a-4159-85a4-adb6b7aca6b9`
`source_resource_id`	`category`	CKAN resource UUID.	`87186331-46fd-4cc2-9be8-bceb715abb91`
`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.	`2026-08-22T17:12:23Z`

Usage

python

from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-drc-global-subnational-population-statistics-f60bb180")
df = ds["train"].to_pandas()
print(df.head())

Filter to one country

python

sample_country = df[df["country_iso3"] == "COD"]

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_drc_global_subnational_population_statistics_f60bb180_2025,
  title        = {Global - Subnational Population Statistics | Africa (DRC 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-drc-global-subnational-population-statistics-f60bb180}}
}

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

Provenance: ingested 2026-08-22 via the Electric Sheep pipeline. Source URL: https://data.humdata.org/dataset/27e3d1c6-c57a-4159-85a4-adb6b7aca6b9/resource/87186331-46fd-4cc2-9be8-bceb715abb91/download/codpopulationadmin2.csv