electricsheepafrica/africa-morocco-statistiques-des-accidents-de-la-circulation-routiere-2024-debd5122

Statistiques des accidents de la circulation routière - 2024 | Africa (Morocco official open data)

5 rows - 1 Africa country - not-applicable - Repackaged by Electric Sheep Africa

TL;DR

This dataset packages one official XLSX resource from Morocco 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: Statistiques des accidents de la circulation routière - 2024
• Publisher: NARSA
• Resource: statistiqes_accidents_2024.xlsx
• Format: XLSX
• License: Open Data Commons Open Database License
• Packaging mode: tabular_resource

Geographic coverage

1 Africa country:

Country	Rows	First year	Last year	Name
MAR	5	n/a	n/a	Morocco

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.	ea1bdf00-5aca-4b34-80ae-c418b84c8cc2:feuil1:0
country_iso3	string	ISO3 country code.	MAR
country_name	string	Country name.	Morocco
source_sheet	string	Workbook sheet name, when the source is a spreadsheet.	Feuil1
annee_2024	string	Source column.	Total Accidents
agglomeration	int64	Source column.	114957
hors_agglomeration	int64	Source column.	28315
total	int64	Source column.	143272
source_provider	string	Publishing organization.	NARSA
source_dataset	string	Source package title.	Statistiques des accidents de la circulation routière - 2024
source_resource	string	Source resource title.	statistiqes_accidents_2024.xlsx
source_package_id	string	CKAN package UUID.	2e992f4b-bbd5-4aaf-b4cb-d0b8152321b3
source_resource_id	string	CKAN resource UUID.	ea1bdf00-5aca-4b34-80ae-c418b84c8cc2
source_url	string	Original source resource URL.	https://data.gov.ma/data/fr/dataset/2e992f4b-bbd5-4aaf-b4cb-d0b8152321b3
license_id	string	Source license identifier.	odc-odbl
retrieved_at	string	UTC retrieval timestamp.	2026-07-16T21:31:48Z

Usage

from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-morocco-statistiques-des-accidents-de-la-circulation-routiere-2024-debd5122")
df = ds["train"].to_pandas()
print(df.head())

Filter to one country

sample_country = df[df["country_iso3"] == "MAR"]

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_morocco_statistiques_des_accidents_de_la_circulation_routiere_2024_debd51_2026,
  title        = {Statistiques des accidents de la circulation routière - 2024 | Africa (Morocco official open data)},
  author       = {NARSA},
  year         = {2026},
  url          = {https://data.gov.ma/data/dataset/statistiques-des-accidents-de-la-circulation-routiere-2024},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-morocco-statistiques-des-accidents-de-la-circulation-routiere-2024-debd5122}}
}

License

Released under Open Data Commons Open Database License.

Original data (c) NARSA. 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 2026-07-16 via the Electric Sheep pipeline. Source URL: https://data.gov.ma/data/fr/dataset/2e992f4b-bbd5-4aaf-b4cb-d0b8152321b3/resource/ea1bdf00-5aca-4b34-80ae-c418b84c8cc2/download/statistiqes_accidents_2024.xlsx