electricsheepafrica/africa-morocco-assurance-maladie-obligatoire-ed79cd9e

Assurance maladie obligatoire | Africa (Morocco official open data)

60 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: Assurance maladie obligatoire
• Publisher: Caisse Nationale des Organismes de Prévoyance Sociale
• Resource: Financement cotisations
• 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	60	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.	e657c39d-8ebc-4ed0-bfca-be82074c9ea5:financement-cotisations-dues: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.	Financement Cotisations dues
cotisations	string	Source column.	Assurés Actifs
d_2234866778_42	float64	Source column.	1801407779.0900002
d_2403037290_69	float64	Source column.	1934567655.48
d_2492194011_85	float64	Source column.	1980631092.22
source_provider	string	Publishing organization.	Caisse Nationale des Organismes de Prévoyance Sociale
source_dataset	string	Source package title.	Assurance maladie obligatoire
source_resource	string	Source resource title.	Financement cotisations
source_package_id	string	CKAN package UUID.	643082b9-ae27-44d8-b215-95fa2be00cd9
source_resource_id	string	CKAN resource UUID.	e657c39d-8ebc-4ed0-bfca-be82074c9ea5
source_url	string	Original source resource URL.	http://datagovma.webhi.net/data/fr/dataset/643082b9-ae27-44d8-b215-95fa2
license_id	string	Source license identifier.	odc-odbl
retrieved_at	string	UTC retrieval timestamp.	2026-07-16T22:26:50Z
d_0_1	string	Source column.	``
d_15208_064120549301	float64	Source column.	``
d_39853_55465512939	float64	Source column.	``
d_21515779_05018731	float64	Source column.	``
d_11739_241582271687	float64	Source column.	``
d_28631_60106818611	float64	Source column.	``
d_12416747_700473702	float64	Source column.	``
d_249_15559727763437	float64	Source column.	``
d_630_0988582181448	float64	Source column.	``
d_283202_7622845762	float64	Source column.	``
d_176_10998040507488	float64	Source column.	``
d_428_0671608212158	float64	Source column.	``
d_109144_59290011323	float64	Source column.	``
d_1	float64	Source column.	``
oued_ed_dahab_lagouira	string	Source column.	``
d_3793	float64	Source column.	``
d_10215	float64	Source column.	``
d_7285224_319999996	float64	Source column.	``
d_447	float64	Source column.	``
d_1503	float64	Source column.	``
d_1289058_0899999996	float64	Source column.	``
z	string	Source column.	``
radiologie_et_imagerie_medicale_b	string	Source column.	``
d_15115	string	Source column.	``
d_3526000_750000001	float64	Source column.	``
d_5928	string	Source column.	``
d_2319394_8499999996	float64	Source column.	``
d_16461	string	Source column.	``
d_9159206_840000002	float64	Source column.	``
d_8250	string	Source column.	``
d_4706098_280000005	float64	Source column.	``
d_146381	string	Source column.	``
d_30216255_58000002	float64	Source column.	``
d_74633	string	Source column.	``
d_17909627_939999998	float64	Source column.	``
d_63003362_500384934	float64	Source column.	``
d_4833221_73961508	float64	Source column.	``

Usage

from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-morocco-assurance-maladie-obligatoire-ed79cd9e")
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_assurance_maladie_obligatoire_ed79cd9e_2026,
  title        = {Assurance maladie obligatoire | Africa (Morocco official open data)},
  author       = {Caisse Nationale des Organismes de Prévoyance Sociale},
  year         = {2026},
  url          = {https://data.gov.ma/data/dataset/assurance-maladie-obligatoire},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-morocco-assurance-maladie-obligatoire-ed79cd9e}}
}

License

Released under Open Data Commons Open Database License.

Original data (c) Caisse Nationale des Organismes de Prévoyance Sociale. 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: http://datagovma.webhi.net/data/fr/dataset/643082b9-ae27-44d8-b215-95fa2be00cd9/resource/e657c39d-8ebc-4ed0-bfca-be82074c9ea5/download/financementcotisations-cnops-2014.xlsx