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electricsheepafrica/africa-cote-d-ivoire-repartition-de-la-population-des-menages-par-religion-selo-537236d0

Repartition De La Population Des Menages Par Religion Selo | Africa (Cote d'Ivoire DataFair) 10 rows - 1 Africa country/area - 2021 - source table - Engineered by Electric Sheep Africa TL;DR This dataset contains 10 rows from Cote d'Ivoire DataFair, covering Repartition De La Population Des Menages Par Religion Selo. It is published as ML-ready Parquet with consistent Hugging Face metadata, source provenance, and analysis-friendly loading examples.… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/africa-cote-d-ivoire-repartition-de-la-population-des-menages-par-religion-selo-537236d0.

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Dataset Card

Repartition De La Population Des Menages Par Religion Selo | Africa (Cote d'Ivoire DataFair)

10 rows - 1 Africa country/area - 2021 - source table - Engineered by [Electric Sheep Africa](https://huggingface.co/electricsheepafrica)

rows countries period indicators license

TL;DR

This dataset contains 10 rows from Cote d'Ivoire DataFair, covering Repartition De La Population Des Menages Par Religion Selo. It is published as ML-ready Parquet with consistent Hugging Face metadata, source provenance, and analysis-friendly loading examples.

What This Dataset Measures

Demographic datasets help analysts understand population structure, household conditions, migration, gender, age, and settlement patterns.

Source-provided context: Normalized CSV export exposed by the Data Fair API.

How To Read This Dataset

  • —One row means: one source record from the original tabular resource, with Electric Sheep Africa provenance columns added where available.
  • —Primary geography column: country_iso3.
  • —Best time column: year.
  • —Time coverage basis: year.
  • —Recommended join keys: country_iso3 where available plus source-specific keys.

Coverage

DimensionValue
Rows10
Countries/areas1
First period2021
Last period2021
Indicators0
Columns22
Source formatCSV

Geographic Coverage

Top areas shown below, sorted by row count when available:

AreaRowsFirst yearLast yearName
CIV1020212021Côte d'Ivoire

Indicators, Variables, Or Resource Contents

  • —This repo preserves one source tabular resource with its usable columns kept together.

Schema

ColumnTypeDescriptionExample
source_record_idstringStable row identifier assigned during Electric Sheep Africa engineering.-cy4xl0ul4in6cz5yal92tc8:full:0
country_iso3dictionary<values=string, indices=int8, ordered=0>ISO3 country or area code.CIV
country_namedictionary<values=string, indices=int8, ordered=0>Country or area name.Côte d'Ivoire
yearint64Observation year.2021
religion_en_cote_d_ivoirestringSource column from the original resource.Catholique
ivoiriennedoubleSource column from the original resource.18.0
non_ivoiriennedoubleSource column from the original resource.13.6
abidjan_villedoubleSource column from the original resource.21.9
autres_villesdoubleSource column from the original resource.15.7
ruraldoubleSource column from the original resource.16.0
ensembledoubleSource column from the original resource.17.0
source_period_start_yearint64Start year inferred from source metadata.2021
source_period_end_yearint64End year inferred from source metadata.2021
source_period_labeldictionary<values=string, indices=int8, ordered=0>Source column from the original resource.2021
source_providerdictionary<values=string, indices=int8, ordered=0>Publishing organization.Agence Nationale de a Statistique ( ANStat)
source_datasetdictionary<values=string, indices=int8, ordered=0>Source dataset or package title.Répartition de la population des ménages par religion selon la nation...
source_resourcedictionary<values=string, indices=int8, ordered=0>Source resource title, table name, or file name.Répartition de la population des ménages par religion selon la nation...
source_package_iddictionary<values=string, indices=int8, ordered=0>Source package identifier.-cy4xl0ul4in6cz5yal92tc8
source_resource_iddictionary<values=string, indices=int8, ordered=0>Source resource identifier.-cy4xl0ul4in6cz5yal92tc8:full
source_urldictionary<values=string, indices=int8, ordered=0>Original source URL or download URL.https://data.gouv.ci/data-fair/api/v1/datasets/repartition-de-la-popu...
license_iddictionary<values=string, indices=int8, ordered=0>Source license identifier.other-open
retrieved_atdictionary<values=string, indices=int8, ordered=0>UTC source retrieval timestamp from the Electric Sheep Africa pipeline.2026-07-27T10:23:33Z

Usage

python
from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-cote-d-ivoire-repartition-de-la-population-des-menages-par-religion-selo-537236d0")
df = ds["train"].to_pandas()
print(df.head())

Inspect Columns

python
print(df.info())
print(df.head())

Filter By Geography

python
if "country_iso3" in df.columns:
    sample = df[df["country_iso3"] == "CIV"]

Time-Series Pattern

python
if "value" in df.columns and "year" in df.columns:
    trend = df.sort_values("year")

Pivot For Analysis

python
if {"indicator_id", "year", "value"}.issubset(df.columns):
    matrix = df.pivot_table(index="year", columns="indicator_id", values="value")
    print(matrix.tail())

Data Quality Notes

  • —Canonical time field: year.
  • —Missing values are preserved rather than silently imputed.
  • —Column names are standardized for machine use; source meanings are preserved where known.
  • —Always confirm source methodology, units, and collection definitions before policy, production, or redistribution-sensitive use.

Source And Provenance

Transformations Applied

  • —Converted the source table to Parquet for efficient analytics and ML workflows.
  • —Added or preserved source provenance columns where available.
  • —Standardized README metadata, dataset loading configuration, schema documentation, and citation format.
  • —Preserved source-reported values without analytical imputation.

Suggested Analyses

  • —Build demographic profiles
  • —Normalize indicators per capita
  • —Join with service-delivery datasets
  • —Build time-series views and period-over-period comparisons
  • —Check missingness before modeling
  • —Use country_iso3 as the safest geography join key when present

Citation

bibtex
@misc{electric_sheep_africa_africa_cote_d_ivoire_repartition_de_la_population_des_menages_par_religion_selo_2021,
  title        = {Repartition De La Population Des Menages Par Religion Selo | Africa (Cote d'Ivoire DataFair)},
  author       = {Agence Nationale de a Statistique ( ANStat)},
  year         = {2021},
  url          = {https://data.gouv.ci/datasets/repartition-de-la-population-des-menages-par-religion-selon-la-nationalite-et-le-milieu-de-residence},
  publisher    = {Hugging Face Datasets, engineered by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-cote-d-ivoire-repartition-de-la-population-des-menages-par-religion-selo-537236d0}}
}

License

Released under other-open.

Original data is published by Agence Nationale de a Statistique ( ANStat). Electric Sheep Africa engineering standardizes the data for discovery, loading, and analysis on Hugging Face. Cite both the original source and this ML-ready dataset when used.

About Electric Sheep Africa

Electric Sheep Africa publishes ML-ready African public datasets on Hugging Face.

Provenance: README standardized 2026-08-11 by the Electric Sheep Africa README system. Source URL: https://data.gouv.ci/datasets/repartition-de-la-population-des-menages-par-religion-selon-la-nationalite-et-le-milieu-de-residence