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electricsheepafrica/africa-niger-sahel-population-movement-data-16c9f57a

Sahel Population Movement Data | Africa (Niger official open data) 169 rows - 1 Africa country - 2021 - 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: Sahel Population Movement Data Publisher: OCHA West and Central… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/africa-niger-sahel-population-movement-data-16c9f57a.

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Dataset Card

Sahel Population Movement Data | Africa (Niger official open data)

169 rows - 1 Africa country - 2021 - Repackaged by Electric Sheep Africa

rows countries years indicators license

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

Geographic coverage

1 Africa country:

CountryRowsFirst yearLast yearName
NER16920212021Niger

Indicators or Resource Contents

  • —This source file is packaged as a normalized tabular resource.

Schema

ColumnTypeDescriptionExample
source_record_idstringStable row identifier for tabular resources.f53abb96-3814-482b-9eed-9ab5cec48e2f:popmvt:0
country_iso3categoryISO3 country code.NER
country_namecategoryCountry name.Niger
source_sheetstringWorkbook sheet name, when the source is a spreadsheet.POPMVT
yearInt64Observation year.2021
countrystringSource column.Burkina Faso
2012stringSource column.56817
2013stringSource column.35859
2014stringSource column.35000
2015stringSource column.30000
2016float64Source column.34322.0
2017float64Source column.32227.0
2018float64Source column.24202.0
2019float64Source column.24202.0
2020float64Source column.25922.0
march_2021float64Source column.20256.0
source_period_start_yearInt64First year inferred from source resource metadata.2021
source_period_end_yearInt64Last year inferred from source resource metadata.2021
source_period_labelcategoryHuman-readable period inferred from source resource metadata.2021
source_providercategoryPublishing organization.OCHA West and Central Africa (ROWCA)
source_datasetcategorySource package title.Sahel Population Movement Data
source_resourcecategorySource resource title.Sahel population movement HNRO 2021.xlsx
source_package_idcategoryCKAN package UUID.370b28e6-5c76-4c69-992e-8d2bb126a598
source_resource_idcategoryCKAN resource UUID.f53abb96-3814-482b-9eed-9ab5cec48e2f
source_urlcategoryOriginal source resource URL.https://data.humdata.org/dataset/370b28e6-5c76-4c69-992e-8d2bb126a598/re
license_idcategorySource license identifier.cc-by
retrieved_atcategoryUTC retrieval timestamp.2026-08-14T00:35:21Z
admin1stringSource column.``
categorystringSource column.``
regionstringSource column.``
datafloat64Source column.``
commentsstringSource column.``

Usage

python
from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-niger-sahel-population-movement-data-16c9f57a")
df = ds["train"].to_pandas()
print(df.head())

Filter to one country

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

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_niger_sahel_population_movement_data_16c9f57a_2021,
  title        = {Sahel Population Movement Data | Africa (Niger official open data)},
  author       = {OCHA West and Central Africa (ROWCA)},
  year         = {2021},
  url          = {https://data.humdata.org/dataset/sahel-population-movement},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-niger-sahel-population-movement-data-16c9f57a}}
}

License

Released under CC BY 4.0.

Original data (c) OCHA West and Central Africa (ROWCA). 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 2026-08-14 via the Electric Sheep pipeline. Source URL: https://data.humdata.org/dataset/370b28e6-5c76-4c69-992e-8d2bb126a598/resource/f53abb96-3814-482b-9eed-9ab5cec48e2f/download/sahel-population-mvt-hnro-2021.xlsx