electricsheepafrica/africa-senegal-capitaux-assurees-c654ad97

Capitaux assurées | Africa (Senegal official open data)

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

TL;DR

This dataset packages one official XLSX resource from Senegal 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: Capitaux assurées
• Publisher: CNAAS
• Resource: META DATA
• Format: XLSX
• License: CC BY 4.0
• Packaging mode: tabular_resource

Geographic coverage

1 Africa country:

Country	Rows	First year	Last year	Name
SEN	1	n/a	n/a	Senegal

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.	e3c338c9-875e-4176-b80b-cef51353643e:montants-assures:0
country_iso3	category	ISO3 country code.	SEN
country_name	category	Country name.	Senegal
source_sheet	string	Workbook sheet name, when the source is a spreadsheet.	Montants assurés
valeurdelasituationderefere	int64	Source column.	0
datesdr	int64	Source column.	2009
vi2009	int64	Source column.	4142740937
vi2010	float64	Source column.	4432732802.59
vi2011	float64	Source column.	4477060130.6159
vi2012	float64	Source column.	5083537148.79245
vi2013	float64	Source column.	13562501940.66338
vi2014	float64	Source column.	15393513562.593271
vi2015	float64	Source column.	20584477387.29929
vi2016	float64	Source column.	24135892398.97796
vi2017	float64	Source column.	30987143374.98313
vi2018	int64	Source column.	32932853857
vi2019	int64	Source column.	46170754254
vi2020	float64	Source column.	52476993196.64203
vi2021	int64	Source column.	69846731727
vi2022	float64	Source column.	73339068313.35
vi2023	float64	Source column.	83334726910.55556
methodedecollecteenquetera	string	Source column.	Compilation des fichiers de reporting /Exploitation de la Base de donnée
modedecalcultauxproportio	string	Source column.	Somme des valeurs assurés
frequencedeproductionirregul	string	Source column.	Annuelle
delaidediffusion	string	Source column.	Annuelle
lindicateurestildiffusepre	string	Source column.	Oui
niveaudedesagregationagese	string	Source column.	national
statutdelindicateurdefiniti	string	Source column.	définitif
uniteechellemilliermi	string	Source column.	unité
source	string	Source column.	Direction technique et commerciale de la CNAAS
methodedacces	string	Source column.	sur le site web www.cnaas.sn
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.	CNAAS
source_dataset	category	Source package title.	Capitaux assurées
source_resource	category	Source resource title.	META DATA
source_package_id	category	CKAN package UUID.	a1124f56-e6ef-4202-9169-7fa823251623
source_resource_id	category	CKAN resource UUID.	e3c338c9-875e-4176-b80b-cef51353643e
source_url	category	Original source resource URL.	https://agridata.ansd.sn/dataset/a1124f56-e6ef-4202-9169-7fa823251623/re
license_id	category	Source license identifier.	cc-by
retrieved_at	category	UTC retrieval timestamp.	2026-07-27T11:04:43Z

Usage

from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-senegal-capitaux-assurees-c654ad97")
df = ds["train"].to_pandas()
print(df.head())

Filter to one country

sample_country = df[df["country_iso3"] == "SEN"]

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_senegal_capitaux_assurees_c654ad97_2026,
  title        = {Capitaux assurées | Africa (Senegal official open data)},
  author       = {CNAAS},
  year         = {2026},
  url          = {https://agridata.ansd.sn/dataset/capitauxassures},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-senegal-capitaux-assurees-c654ad97}}
}

License

Released under CC BY 4.0.

Original data (c) CNAAS. 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 2026-07-27 via the Electric Sheep pipeline. Source URL: https://agridata.ansd.sn/dataset/a1124f56-e6ef-4202-9169-7fa823251623/resource/e3c338c9-875e-4176-b80b-cef51353643e/download/cnaas_ind4.xlsx