Logo Lanfrica
  • Home
  • Atlas
  • Insights
  • Docs
  • Sign in

© 2026 Lanfrica. All rights reserved. All copyrights of the resources shown on the Lanfrica website belong to the original copyright holders, unless explicitly stated otherwise.

African Countries: A Curated Dataset on Africa Indicators for Education and Data Science

Domain:

socioeconomic

Record type:

dataset
Creator:
Cac
Publisher:
Zenodo
Host:avatar

Initial release of the African Countries Indicators dataset v1.0.0

  • 54 sovereign African nations
  • 10 variables: geographic, demographic, and administrative indicators
  • Formats: CSV and XLSX
  • Sources: World Bank, World Atlas, ISO, Google Developers
If you use this dataset, please cite it as below.

Visit

doi.org

Licenses

info:eu-repo/semantics/openAccessCreative Commons Attribution 4.0 Internationalhttps://creativecommons.org/licenses/by/4.0/legalcode

Similar

FAIRsharing – A curated resource on data and metadata standards, with a spotlight on AfricaThe DSAIL-GeJuSTA Data Science Education Workshop: Designing a Data Science Curriculum for the African ContinentBanglaFakeNews: A Curated Dataset for Bengali Fake News DetectionCurated dataset and shortlist of AI use cases for the South African governmentGlobal Low-Income Countries Street-Level Imagery (GLIC-SLI): A Curated Urban Streetscape DatasetDataset Ninja: Curated Datasets for Computer Vision

FAIRsharing – A curated resource on data and metadata standards, with a spotlight on Africa

FAIRsharing is a curated, informative, and educational resource on data and m

The DSAIL-GeJuSTA Data Science Education Workshop: Designing a Data Science Curriculum for the African Continent

The DSAIL-GeJuSTA Data Science Education Workshop was a joint initiative by the Centre for

BanglaFakeNews: A Curated Dataset for Bengali Fake News Detection

BanglaFakeNews is a large-scale, curated dataset developed for fake news detection in the Bengali la

Curated dataset and shortlist of AI use cases for the South African government

We curated the AI Watch Europe database from May 2024 which can be found here:

Global Low-Income Countries Street-Level Imagery (GLIC-SLI): A Curated Urban Streetscape Dataset

Global Low-Income Countries Street-Level Imagery (GLIC-SLI): A Curated Urban Streetscape Dataset is

Dataset Ninja: Curated Datasets for Computer Vision

Catalog of high-quality images, videos and 3D point clouds with statistics and visualizations