Datasetpublic

electricsheepafrica/africa-central-african-republic-africa-total-migrants-56ade39f

Africa Total Migrants | Africa (Central African Republic official open data) 67 rows - 1 Africa country - 2006-2014 - Repackaged by Electric Sheep Africa TL;DR This dataset packages one official XLSX resource from Central African Republic 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: Africa Total Migrants… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/africa-central-african-republic-africa-total-migrants-56ade39f.

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Dataset Card

Africa Total Migrants | Africa (Central African Republic official open data)

67 rows - 1 Africa country - 2006-2014 - Repackaged by Electric Sheep Africa

TL;DR

This dataset packages one official XLSX resource from Central African Republic 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: Africa Total Migrants
—Publisher: United Nations Economic Commission for Africa
—Resource: POPULATION-migration.xlsx
—Format: XLSX
—License: CC BY 4.0
—Packaging mode: indicator_long

Geographic coverage

1 Africa country:

Country	Rows	First year	Last year	Name
`CAF`	67	2006	2014	`Central African Republic`

Indicators or Resource Contents

—africa-total-migrants-56ade39f - Africa Total Migrants

Schema

Column	Type	Description	Example
`indicator_id`	`string`	Stable indicator identifier.	`africa-total-migrants-56ade39f`
`indicator_name`	`string`	Human-readable indicator name.	`Africa Total Migrants`
`country_iso3`	`string`	ISO3 country code.	`CAF`
`source_sheet`	`string`	Workbook sheet name, when the source is a spreadsheet.	`Sheet1`
`country_name`	`string`	Country name.	`Central African Republic`
`year`	`Int64`	Observation year.	`2006`
`value`	`float64`	Numeric observation value.	`613662.0`
`unit`	`string`	Measurement unit, when available.	`source_units_unspecified`
`dimension_country`	`string`	Source dimension.	`Burkina Faso`
`dimension_pays`	`string`	Source dimension.	`Burkina Faso`
`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.	`United Nations Economic Commission for Africa`
`source_dataset`	`category`	Source package title.	`Africa Total Migrants`
`source_resource`	`category`	Source resource title.	`POPULATION-migration.xlsx`
`source_package_id`	`category`	CKAN package UUID.	`c8463852-56d5-4e7e-8fba-85bf97370a31`
`source_resource_id`	`category`	CKAN resource UUID.	`582e2c94-d2f0-44d1-873e-3c72f98167af`
`source_url`	`category`	Original source resource URL.	`https://data.humdata.org/dataset/c8463852-56d5-4e7e-8fba-85bf97370a31/re`
`license_id`	`category`	Source license identifier.	`cc-by`
`retrieved_at`	`category`	UTC retrieval timestamp.	`2026-08-14T23:28:30Z`

Usage

python

from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-central-african-republic-africa-total-migrants-56ade39f")
df = ds["train"].to_pandas()
print(df.head())

Filter to one country

python

sample_country = df[df["country_iso3"] == "CAF"]

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_central_african_republic_africa_total_migrants_56ade39f_2014,
  title        = {Africa Total Migrants | Africa (Central African Republic official open data)},
  author       = {United Nations Economic Commission for Africa},
  year         = {2014},
  url          = {https://data.humdata.org/dataset/total-migrants-total-migrants},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-central-african-republic-africa-total-migrants-56ade39f}}
}

License

Released under CC BY 4.0.

Original data (c) United Nations Economic Commission for Africa. 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 2026-08-15 via the Electric Sheep pipeline. Source URL: https://data.humdata.org/dataset/c8463852-56d5-4e7e-8fba-85bf97370a31/resource/582e2c94-d2f0-44d1-873e-3c72f98167af/download/population-migration.xlsx