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electricsheepafrica/africa-cote-d-ivoire-evolution-de-la-population-des-villes-de-plus-de-100-000-h-b8d36539

Evolution De La Population Des Villes De Plus De 100 000 H | Africa (Cote d'Ivoire DataFair) 60 rows - 1 Africa country/area - 1975-2021 - 1 indicator - Engineered by Electric Sheep Africa TL;DR This dataset contains 60 rows from Cote d'Ivoire DataFair, covering Evolution De La Population Des Villes De Plus De 100 000 H. 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-evolution-de-la-population-des-villes-de-plus-de-100-000-h-b8d36539.

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Dataset Card

Evolution De La Population Des Villes De Plus De 100 000 H | Africa (Cote d'Ivoire DataFair)

60 rows - 1 Africa country/area - 1975-2021 - 1 indicator - Engineered by [Electric Sheep Africa](https://huggingface.co/electricsheepafrica)

rows countries period indicators license

TL;DR

This dataset contains 60 rows from Cote d'Ivoire DataFair, covering Evolution De La Population Des Villes De Plus De 100 000 H. 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 indicator observation for one geography, time period, and optional source dimensions.
  • —Primary geography column: country_iso3.
  • —Best time column: year.
  • —Time coverage basis: year.
  • —Recommended join keys: country_iso3, year, indicator_id.

Coverage

DimensionValue
Rows60
Countries/areas1
First period1975
Last period2021
Indicators1
Columns24
Source formatCSV

Geographic Coverage

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

AreaRowsFirst yearLast yearName
CIV6019752021Côte d'Ivoire

Indicators, Variables, Or Resource Contents

  • —evolution-de-la-population-des-villes-de-plus-de-100-000-habitants-1975-b8d36539 - Évolution de la population des villes de plus de 100 000 habitants 1975 2021(sourceunitsunspecified)

Schema

ColumnTypeDescriptionExample
indicator_idstringStable source or Electric Sheep Africa indicator identifier.evolution-de-la-population-des-villes-de-plus-de-100-000-habitants-19...
indicator_namestringHuman-readable indicator name.Évolution de la population des villes de plus de 100 000 habitants 19...
country_iso3stringISO3 country or area code.CIV
country_namestringCountry or area name.Côte d'Ivoire
yearint64Observation year.1975
valuedoubleNumeric observation value.951246.0
unitstringMeasurement unit, when supplied by the source.source_units_unspecified
dimension_localitesstringSource dimension retained during long-form normalization.Abidjan
dimension_variation_1975_2021stringSource dimension retained during long-form normalization.4703387
dimension_mult_1975_2021stringSource dimension retained during long-form normalization.5.95
dimension_rang_2021stringSource dimension retained during long-form normalization.1
dimension_tcam_1975_2021stringSource dimension retained during long-form normalization.3.950961951915555
dimension_statut_actuelstringSource dimension retained during long-form normalization.District Autonome
source_period_start_yearint64Start year inferred from source metadata.1975
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.1975-2021
source_providerdictionary<values=string, indices=int8, ordered=0>Publishing organization.Agence Nationale de la Statistique (ANStat)
source_datasetdictionary<values=string, indices=int8, ordered=0>Source dataset or package title.Évolution de la population des villes de plus de 100 000 habitants 19...
source_resourcedictionary<values=string, indices=int8, ordered=0>Source resource title, table name, or file name.Évolution de la population des villes de plus de 100 000 habitants 19...
source_package_iddictionary<values=string, indices=int8, ordered=0>Source package identifier.hpm0968qsywwps7z1l7h0ac5
source_resource_iddictionary<values=string, indices=int8, ordered=0>Source resource identifier.hpm0968qsywwps7z1l7h0ac5:full
source_urldictionary<values=string, indices=int8, ordered=0>Original source URL or download URL.https://data.gouv.ci/data-fair/api/v1/datasets/evolution-de-la-popula...
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-evolution-de-la-population-des-villes-de-plus-de-100-000-h-b8d36539")
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
  • —Pivot to geography x period or indicator x period matrices
  • —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_evolution_de_la_population_des_villes_de_plus_de_100_000_h_2021,
  title        = {Evolution De La Population Des Villes De Plus De 100 000 H | Africa (Cote d'Ivoire DataFair)},
  author       = {Agence Nationale de la Statistique (ANStat)},
  year         = {2021},
  url          = {https://data.gouv.ci/datasets/evolution-de-la-population-des-villes-de-plus-de-100-000-habitants-1975-2021},
  publisher    = {Hugging Face Datasets, engineered by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-cote-d-ivoire-evolution-de-la-population-des-villes-de-plus-de-100-000-h-b8d36539}}
}

License

Released under other-open.

Original data is published by Agence Nationale de la 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/evolution-de-la-population-des-villes-de-plus-de-100-000-habitants-1975-2021