electricsheepafrica/africa-tunisia-cnss-taux-de-collecte-recouvrement-des-cotisations-3a1ed5f8

CNSS-Taux de collecte/ recouvrement des cotisations | Africa (Tunisia official open data)

675 rows - 1 Africa country - 2023 - Repackaged by Electric Sheep Africa

TL;DR

This dataset packages one official CSV resource from Tunisia 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: CNSS-Taux de collecte/ recouvrement des cotisations
• Publisher: Caisse nationale de sécurité sociale
• Resource: Taux de collecte/ recouvrement des cotisations
• Format: CSV
• License: Licence Nationale de Données Publiques Ouvertes
• Packaging mode: indicator_long

Geographic coverage

1 Africa country:

Country	Rows	First year	Last year	Name
TUN	675	2023	2023	Tunisia

Indicators or Resource Contents

• cnss-taux-de-collecte-recouvrement-des-cotisations-code-br-2139544d - CNSS-Taux de collecte/ recouvrement des cotisations - code br
• cnss-taux-de-collecte-recouvrement-des-cotisations-code-regime-7477c4ef - CNSS-Taux de collecte/ recouvrement des cotisations - code regime
• cnss-taux-de-collecte-recouvrement-des-cotisations-t-recouvremeant-c1d64145 - CNSS-Taux de collecte/ recouvrement des cotisations - t recouvremeant

Schema

Column	Type	Description	Example
indicator_id	string	Stable indicator identifier.	cnss-taux-de-collecte-recouvrement-des-cotisations-code-br-2139544d
indicator_name	string	Human-readable indicator name.	CNSS-Taux de collecte/ recouvrement des cotisations - code br
country_iso3	string	ISO3 country code.	TUN
country_name	string	Country name.	Tunisia
year	Int64	Observation year.	2023
value	float64	Numeric observation value.	10.0
unit	string	Measurement unit, when available.	source_units_unspecified
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	string	Publishing organization.	Caisse nationale de sécurité sociale
source_dataset	string	Source package title.	CNSS-Taux de collecte/ recouvrement des cotisations
source_resource	string	Source resource title.	Taux de collecte/ recouvrement des cotisations
source_package_id	string	CKAN package UUID.	bf3a82fc-9854-41aa-aae1-dc62c5c1475c
source_resource_id	string	CKAN resource UUID.	02aabf5f-f8f8-447e-bd85-d24d87b894f1
source_url	string	Original source resource URL.	https://catalog.data.gov.tn/dataset/bf3a82fc-9854-41aa-aae1-dc62c5c1475c
license_id	string	Source license identifier.	LNDPO-TN
retrieved_at	string	UTC retrieval timestamp.	2026-07-18T23:08:36Z

Usage

from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-tunisia-cnss-taux-de-collecte-recouvrement-des-cotisations-3a1ed5f8")
df = ds["train"].to_pandas()
print(df.head())

Filter to one country

sample_country = df[df["country_iso3"] == "TUN"]

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_tunisia_cnss_taux_de_collecte_recouvrement_des_cotisations_3a1ed5f8_2023,
  title        = {CNSS-Taux de collecte/ recouvrement des cotisations | Africa (Tunisia official open data)},
  author       = {Caisse nationale de sécurité sociale},
  year         = {2023},
  url          = {https://catalog.data.gov.tn/dataset/taux-de-collecte-recouvrement-des-cotisations},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-tunisia-cnss-taux-de-collecte-recouvrement-des-cotisations-3a1ed5f8}}
}

License

Released under Licence Nationale de Données Publiques Ouvertes.

Original data (c) Caisse nationale de sécurité 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 2026-07-19 via the Electric Sheep pipeline. Source URL: https://catalog.data.gov.tn/dataset/bf3a82fc-9854-41aa-aae1-dc62c5c1475c/resource/02aabf5f-f8f8-447e-bd85-d24d87b894f1/download/taux-de-collecte.csv