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

Sahel Population Movement Data | Africa (OCHA West and Central Africa (ROWCA)) 169 rows - 1 Africa country/area - 2021 - source table - Engineered by Electric Sheep Africa TL;DR This dataset contains 169 rows from OCHA West and Central Africa (ROWCA), covering Sahel Population Movement Data. It is published as ML-ready Parquet with consistent Hugging Face metadata, source provenance, and analysis-friendly loading examples. What This Dataset… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/africa-chad-sahel-population-movement-data-16c9f57a.

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Sahel Population Movement Data | Africa (OCHA West and Central Africa (ROWCA))

169 rows - 1 Africa country/area - 2021 - source table - Engineered by [Electric Sheep Africa](https://huggingface.co/electricsheepafrica)

rows countries period indicators license

TL;DR

This dataset contains 169 rows from OCHA West and Central Africa (ROWCA), covering Sahel Population Movement Data. It is published as ML-ready Parquet with consistent Hugging Face metadata, source provenance, and analysis-friendly loading examples.

What This Dataset Measures

Demographic datasets help analysts understand population structure, household conditions, migration, gender, age, and settlement patterns.

Source-provided context: This data is about the refugees, IDPs, and returnees in the Sahel from 2012 till March 2021.

How To Read This Dataset

  • —One row means: one source record from the original tabular resource, with Electric Sheep Africa provenance columns added where available.
  • —Primary geography column: country_iso3.
  • —Best time column: year.
  • —Time coverage basis: year.
  • —Recommended join keys: country_iso3 where available plus source-specific keys.

Coverage

DimensionValue
Rows169
Countries/areas1
First period2021
Last period2021
Indicators0
Columns32
Source formatXLSX

Geographic Coverage

Top areas shown below, sorted by row count when available:

AreaRowsFirst yearLast yearName
TCD16920212021Chad

Indicators, Variables, Or Resource Contents

  • —This repo preserves one source tabular resource with its usable columns kept together.

Schema

ColumnTypeDescriptionExample
source_record_idstringStable row identifier assigned during Electric Sheep Africa engineering.f53abb96-3814-482b-9eed-9ab5cec48e2f:popmvt:0
country_iso3dictionary<values=string, indices=int8, ordered=0>ISO3 country or area code.TCD
country_namedictionary<values=string, indices=int8, ordered=0>Country or area name.Chad
source_sheetstringSource column from the original resource.POPMVT
yearint64Observation year.2021
countrystringSource column from the original resource.Burkina Faso
2012stringSource column from the original resource.56817
2013stringSource column from the original resource.35859
2014stringSource column from the original resource.35000
2015stringSource column from the original resource.30000
2016doubleSource column from the original resource.34322.0
2017doubleSource column from the original resource.32227.0
2018doubleSource column from the original resource.24202.0
2019doubleSource column from the original resource.24202.0
2020doubleSource column from the original resource.25922.0
march_2021doubleSource column from the original resource.20256.0
source_period_start_yearint64Start year inferred from source metadata.2021
source_period_end_yearint64End year inferred from source metadata.2021
source_period_labeldictionary<values=string, indices=int8, ordered=0>Source column from the original resource.2021
source_providerdictionary<values=string, indices=int8, ordered=0>Publishing organization.OCHA West and Central Africa (ROWCA)
source_datasetdictionary<values=string, indices=int8, ordered=0>Source dataset or package title.Sahel Population Movement Data
source_resourcedictionary<values=string, indices=int8, ordered=0>Source resource title, table name, or file name.Sahel population movement HNRO 2021.xlsx
source_package_iddictionary<values=string, indices=int8, ordered=0>Source package identifier.370b28e6-5c76-4c69-992e-8d2bb126a598
source_resource_iddictionary<values=string, indices=int8, ordered=0>Source resource identifier.f53abb96-3814-482b-9eed-9ab5cec48e2f
source_urldictionary<values=string, indices=int8, ordered=0>Original source URL or download URL.https://data.humdata.org/dataset/370b28e6-5c76-4c69-992e-8d2bb126a598...
license_iddictionary<values=string, indices=int8, ordered=0>Source license identifier.cc-by
retrieved_atdictionary<values=string, indices=int8, ordered=0>UTC source retrieval timestamp from the Electric Sheep Africa pipeline.2026-08-10T22:51:43Z
admin1stringSource column from the original resource.``
categorystringSource column from the original resource.``
regionstringSource column from the original resource.``
datadoubleSource column from the original resource.``
commentsstringSource column from the original resource.``

Usage

python
from datasets import load_dataset

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

Inspect Columns

python
print(df.info())
print(df.head())

Filter By Geography

python
if "country_iso3" in df.columns:
    sample = df[df["country_iso3"] == "TCD"]

Time-Series Pattern

python
if "value" in df.columns and "year" in df.columns:
    trend = df.sort_values("year")

Pivot For Analysis

python
if {"indicator_id", "year", "value"}.issubset(df.columns):
    matrix = df.pivot_table(index="year", columns="indicator_id", values="value")
    print(matrix.tail())

Data Quality Notes

  • —Canonical time field: year.
  • —Missing values are preserved rather than silently imputed.
  • —Column names are standardized for machine use; source meanings are preserved where known.
  • —Always confirm source methodology, units, and collection definitions before policy, production, or redistribution-sensitive use.

Source And Provenance

Transformations Applied

  • —Converted the source table to Parquet for efficient analytics and ML workflows.
  • —Added or preserved source provenance columns where available.
  • —Standardized README metadata, dataset loading configuration, schema documentation, and citation format.
  • —Preserved source-reported values without analytical imputation.

Suggested Analyses

  • —Build demographic profiles
  • —Normalize indicators per capita
  • —Join with service-delivery datasets
  • —Build time-series views and period-over-period comparisons
  • —Check missingness before modeling
  • —Use country_iso3 as the safest geography join key when present

Citation

bibtex
@misc{electric_sheep_africa_africa_chad_sahel_population_movement_data_16c9f57a_2021,
  title        = {Sahel Population Movement Data | Africa (OCHA West and Central Africa (ROWCA))},
  author       = {OCHA West and Central Africa (ROWCA)},
  year         = {2021},
  url          = {https://data.humdata.org/dataset/sahel-population-movement},
  publisher    = {Hugging Face Datasets, engineered by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-chad-sahel-population-movement-data-16c9f57a}}
}

License

Released under CC BY 4.0.

Original data is published by OCHA West and Central Africa (ROWCA). Electric Sheep Africa engineering standardizes the data for discovery, loading, and analysis on Hugging Face. Cite both the original source and this ML-ready dataset when used.

About Electric Sheep Africa

Electric Sheep Africa publishes ML-ready African public datasets on Hugging Face.


Provenance: README standardized 2026-08-11 by the Electric Sheep Africa README system. Source URL: https://data.humdata.org/dataset/sahel-population-movement