electricsheepafrica/africa-central-african-republic-movement-distribution-e6026c80

Movement Distribution | Africa (Central African Republic official open data)

4,938,720 rows - 1 Africa country - 2026 - Repackaged by Electric Sheep Africa

TL;DR

This dataset packages one official CSV 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: Movement Distribution
• Publisher: AI for Good at Meta
• Resource: Movement Distribution Maps 2026_05_02_2026_05_17.csv
• Format: CSV
• License: CC BY 4.0
• Packaging mode: indicator_long

Geographic coverage

1 Africa country:

Country	Rows	First year	Last year	Name
CAF	4,938,720	2026	2026	Central African Republic

Indicators or Resource Contents

• movement-distribution-polygon-level-94230230 - Movement Distribution - polygon level
• movement-distribution-distance-category-ping-fraction-a51308a9 - Movement Distribution - distance category ping fraction

Schema

Column	Type	Description	Example
indicator_id	string	Stable indicator identifier.	movement-distribution-polygon-level-94230230
indicator_name	string	Human-readable indicator name.	Movement Distribution - polygon level
country_iso3	string	ISO3 country code.	CAF
country_name	string	Country name.	Central African Republic
year	Int64	Observation year.	2026
value	float64	Numeric observation value.	2.0
unit	string	Measurement unit, when available.	source_units_unspecified
dimension_gadm_id	string	Source dimension.	ROU.7.63_1
dimension_gadm_name	string	Source dimension.	Tudora
dimension_country	string	Source dimension.	ROU
dimension_home_to_ping_distance_category	string	Source dimension.	[10, 100)
source_period_start_year	Int64	First year inferred from source resource metadata.	2017
source_period_end_year	Int64	Last year inferred from source resource metadata.	2026
source_period_label	category	Human-readable period inferred from source resource metadata.	2017-2026
source_provider	category	Publishing organization.	AI for Good at Meta
source_dataset	category	Source package title.	Movement Distribution
source_resource	category	Source resource title.	Movement Distribution Maps 2026_05_02_2026_05_17.csv
source_package_id	category	CKAN package UUID.	32167ba5-ef67-4254-8eaf-04cdb8b90c1d
source_resource_id	category	CKAN resource UUID.	5e0b6dda-eea7-4e52-925a-e4d2feca19e7
source_url	category	Original source resource URL.	https://data.humdata.org/dataset/32167ba5-ef67-4254-8eaf-04cdb8b90c1d/re
license_id	category	Source license identifier.	cc-by
retrieved_at	category	UTC retrieval timestamp.	2026-08-14T23:28:30Z

Usage

from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-central-african-republic-movement-distribution-e6026c80")
df = ds["train"].to_pandas()
print(df.head())

Filter to one country

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

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_central_african_republic_movement_distribution_e6026c80_2026,
  title        = {Movement Distribution | Africa (Central African Republic official open data)},
  author       = {AI for Good at Meta},
  year         = {2026},
  url          = {https://data.humdata.org/dataset/movement-distribution},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-central-african-republic-movement-distribution-e6026c80}}
}

License

Released under CC BY 4.0.

Original data (c) AI for Good at Meta. 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 2026-08-15 via the Electric Sheep pipeline. Source URL: https://data.humdata.org/dataset/32167ba5-ef67-4254-8eaf-04cdb8b90c1d/resource/5e0b6dda-eea7-4e52-925a-e4d2feca19e7/download/movement-distribution-maps-2026_05_02_2026_05_17.csv