electricsheepafrica/africa-central-african-republic-republique-centrafricaine-acces-physique-dans-les-communes-11706

République Centrafricaine : Accès Physique Dans les Communes | Africa (Central African Republic official open data)

350 rows - 1 Africa country - 2022 - 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: République Centrafricaine : Accès Physique Dans les Communes
• Publisher: OCHA Central African Republic
• Resource: OCHA CAR_DONNEES_ACCES_COMMUNES_19102022.xlsx
• Format: XLSX
• License: CC BY 4.0
• Packaging mode: tabular_resource

Geographic coverage

1 Africa country:

Country	Rows	First year	Last year	Name
CAF	350	2022	2022	Central African Republic

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.	fb81c29d-defd-4395-aa77-659c21450af1:sheet1:0
country_iso3	category	ISO3 country code.	CAF
country_name	category	Country name.	Central African Republic
source_sheet	string	Workbook sheet name, when the source is a spreadsheet.	Sheet1
year	Int64	Observation year.	2022
row_labels	string	Source column.	1er Arrondissement
distinct_count_of_sousprefecture	float64	Source column.	1.0
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 Central African Republic
source_dataset	category	Source package title.	République Centrafricaine : Accès Physique Dans les Communes
source_resource	category	Source resource title.	OCHA CAR_DONNEES_ACCES_COMMUNES_19102022.xlsx
source_package_id	category	CKAN package UUID.	898a7121-7680-4582-b586-51d5b5247670
source_resource_id	category	CKAN resource UUID.	fb81c29d-defd-4395-aa77-659c21450af1
source_url	category	Original source resource URL.	https://data.humdata.org/dataset/898a7121-7680-4582-b586-51d5b5247670/re
license_id	category	Source license identifier.	cc-by
retrieved_at	category	UTC retrieval timestamp.	2026-08-14T23:28:30Z
prefecture	string	Source column.	``
pcode	string	Source column.	``
sousprefecture	string	Source column.	``
pcode2	string	Source column.	``
moyenne_acces_sousprefecture	float64	Source column.	``
commune	string	Source column.	``
commune_code	string	Source column.	``
valeur_acces_log_26_aout_2020	float64	Source column.	``
moyenne_valeur_acces_log_19_aout_2021	float64	Source column.	``
moyenne_valeur_acces_log_19_aout_2022	float64	Source column.	``
proposition_sous_bureau_ocha	float64	Source column.	``
proposition_gt_acces	float64	Source column.	``
type_acces_log_aout_2020	string	Source column.	``
commentaires	string	Source column.	``
noir	float64	Source column.	``
violet	float64	Source column.	``
rouge	float64	Source column.	``
jaune	float64	Source column.	``
vert	float64	Source column.	``
average	float64	Source column.	``
moyenne_acces_sousprefecture_ancien	float64	Source column.	``
moyenne_acces_sous_prefecture_26_aout_2020	float64	Source column.	``
type_acces_log	string	Source column.	``
id	float64	Source column.	``
typeacces	string	Source column.	``
couleur_axe	string	Source column.	``
id_2	float64	Source column.	``
typeacces_2	string	Source column.	``
couleur_axe_2	string	Source column.	``

Usage

from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-central-african-republic-republique-centrafricaine-acces-physique-dans-les-communes-11706")
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_republique_centrafricaine_acces_physique_dans_le_2022,
  title        = {République Centrafricaine : Accès Physique Dans les Communes | Africa (Central African Republic official open data)},
  author       = {OCHA Central African Republic},
  year         = {2022},
  url          = {https://data.humdata.org/dataset/republique-centraficaine-acces-physique-dans-les-communes},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-central-african-republic-republique-centrafricaine-acces-physique-dans-les-communes-11706}}
}

License

Released under CC BY 4.0.

Original data (c) OCHA Central African Republic. 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/898a7121-7680-4582-b586-51d5b5247670/resource/fb81c29d-defd-4395-aa77-659c21450af1/download/ocha-car_donnees_acces_communes_19102022.xlsx