electricsheepafrica/africa-congo-personnes-deplacees-du-pool-2eff045a

Personnes déplacées du Pool | Africa (Congo official open data)

41 rows - 1 Africa country - not-applicable - Repackaged by Electric Sheep Africa

TL;DR

This dataset packages one official CSV resource from Congo 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: Personnes déplacées du Pool
• Publisher: HDX
• Resource: Personnes déplacées du Pool
• Format: CSV
• License: CC BY 4.0
• Packaging mode: tabular_resource

Geographic coverage

1 Africa country:

Country	Rows	First year	Last year	Name
COG	41	n/a	n/a	Congo

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.	4d9585ae-f32b-4742-a399-06efe44b63e8:0
country_iso3	category	ISO3 country code.	COG
country_name	category	Country name.	Congo
departement	string	Source column.	#adm1+name+origin
site	string	Source column.	#loc+name
total_hommes	float64	Source column.	``
total_femmes	float64	Source column.	``
total_individus	float64	Source column.	``
total_menages	float64	Source column.	``
vieux_hommes	float64	Source column.	``
vieux_femmes	float64	Source column.	``
total_vieux	float64	Source column.	``
pers_avec_handicape	float64	Source column.	``
femme_enceinte	float64	Source column.	``
veuves	float64	Source column.	``
orphelins	float64	Source column.	``
pers_malades	float64	Source column.	``
enfant_non_acc	float64	Source column.	``
primaire_hommes	float64	Source column.	``
primaire_femmes	float64	Source column.	``
total_primaire	float64	Source column.	``
college_hommes	float64	Source column.	``
college_femmes	float64	Source column.	``
total_college	float64	Source column.	``
lycee_hommes	float64	Source column.	``
lycee_femmes	float64	Source column.	``
total_lycee	float64	Source column.	``
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.	Personnes déplacées du Pool
source_resource	category	Source resource title.	Personnes déplacées du Pool
source_package_id	category	CKAN package UUID.	1a80249c-7099-49f3-b1c6-4754090b100c
source_resource_id	category	CKAN resource UUID.	4d9585ae-f32b-4742-a399-06efe44b63e8
source_url	category	Original source resource URL.	https://docs.google.com/spreadsheets/d/e/2PACX-1vSglscEi0txKeSBg5aOfajFq
license_id	category	Source license identifier.	cc-by
retrieved_at	category	UTC retrieval timestamp.	2026-08-16T12:36:20Z

Usage

from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-congo-personnes-deplacees-du-pool-2eff045a")
df = ds["train"].to_pandas()
print(df.head())

Filter to one country

sample_country = df[df["country_iso3"] == "COG"]

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_congo_personnes_deplacees_du_pool_2eff045a_2026,
  title        = {Personnes déplacées du Pool | Africa (Congo official open data)},
  author       = {HDX},
  year         = {2026},
  url          = {https://data.humdata.org/dataset/personnes-deplacees-du-pool},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-congo-personnes-deplacees-du-pool-2eff045a}}
}

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 2026-08-16 via the Electric Sheep pipeline. Source URL: https://docs.google.com/spreadsheets/d/e/2PACX-1vSglscEi0txKeSBg5aOfajFqyGUq3xNTU4rRUYzE5Kwou2fWi9ZacBMcrZBMU5iqkGD4JVpT5JFxR9_/pub?gid=0&single=true&output=csv