electricsheepafrica/africa-niger-niger-population-movement-ee60f1eb

Niger: Population Movement | Africa (Niger official open data)

819 rows - 1 Africa country - 2022 - Repackaged by Electric Sheep Africa

TL;DR

This dataset packages one official XLSX resource from Niger 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: Niger: Population Movement
• Publisher: OCHA Niger
• Resource: ner_population_movement_Jul2022
• Format: XLSX
• License: CC BY 4.0
• Packaging mode: tabular_resource

Geographic coverage

1 Africa country:

Country	Rows	First year	Last year	Name
NER	819	2022	2022	Niger

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.	290599a7-1226-4711-b0a2-a66d3d07a1de:pdi-commue-site-mai-2022:0
country_iso3	category	ISO3 country code.	NER
country_name	category	Country name.	Niger
source_sheet	string	Workbook sheet name, when the source is a spreadsheet.	# PDI-Commue_Site_Mai_2022
year	Int64	Observation year.	2022
region	string	Source column.	#adm1+name
departement	string	Source column.	#adm2+name
commune	string	Source column.	#adm3+name
site_accueil	string	Source column.	#loc+name
lat	float64	Source column.	``
long	float64	Source column.	``
nombre_de_menages	float64	Source column.	``
nombre_de_pdi	float64	Source column.	``
source_period_start_year	Int64	First year inferred from source resource metadata.	2022
source_period_end_year	Int64	Last year inferred from source resource metadata.	2022
source_period_label	category	Human-readable period inferred from source resource metadata.	2022
source_provider	category	Publishing organization.	OCHA Niger
source_dataset	category	Source package title.	Niger: Population Movement
source_resource	category	Source resource title.	ner_population_movement_Jul2022
source_package_id	category	CKAN package UUID.	501a166f-9f7f-477c-85bc-06019f59ad88
source_resource_id	category	CKAN resource UUID.	290599a7-1226-4711-b0a2-a66d3d07a1de
source_url	category	Original source resource URL.	https://data.humdata.org/dataset/501a166f-9f7f-477c-85bc-06019f59ad88/re
license_id	category	Source license identifier.	cc-by
retrieved_at	category	UTC retrieval timestamp.	2026-08-14T00:35:21Z
latitude	float64	Source column.	``
longitude	float64	Source column.	``
nombre_de_personnes	float64	Source column.	``
site_acceuil	string	Source column.	``
hommes	float64	Source column.	``
femmes	float64	Source column.	``
garcons	float64	Source column.	``
filles	float64	Source column.	``
moins_de_5	float64	Source column.	``
enrolement	string	Source column.	``
total_enfant	float64	Source column.	``

Usage

from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-niger-niger-population-movement-ee60f1eb")
df = ds["train"].to_pandas()
print(df.head())

Filter to one country

sample_country = df[df["country_iso3"] == "NER"]

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_niger_niger_population_movement_ee60f1eb_2022,
  title        = {Niger: Population Movement | Africa (Niger official open data)},
  author       = {OCHA Niger},
  year         = {2022},
  url          = {https://data.humdata.org/dataset/niger-population-movement},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-niger-niger-population-movement-ee60f1eb}}
}

License

Released under CC BY 4.0.

Original data (c) OCHA Niger. 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 2026-08-14 via the Electric Sheep pipeline. Source URL: https://data.humdata.org/dataset/501a166f-9f7f-477c-85bc-06019f59ad88/resource/290599a7-1226-4711-b0a2-a66d3d07a1de/download/ner_personnes-deplacees-internes_2022_au_21072022.xlsx