Youth Labour Market Dataset — Africa 2026

The extracted dataset covers all 53 African Union member states for the year 2026, disaggregated by: country, year, single year of age (15–35), sex (female/male), labour market status (employed/unemployed/inactive/students), educational attainment (no education, primary, lower secondary, upper secondary, tertiary), and economic sector (Agriculture, Industry, Services). The four underlying data files used in this study have been deposited in a publicly accessible repository and are available under the Creative Commons Attribution 4.0 International Licence (CC-BY 4.0): • World Data Lab / Africa Youth Employment Clock. Youth Labour Market Dataset — Africa, 2026 (53 countries, ages 15–35). Exported from https://africayouthjobs.io. [Please note: we are in the process of depositing these files on Zenodo to obtain a permanent DOI. The DOI will be communicated to the editorial team within 48 hours of this response and will be inserted into the final published version of the manuscript.] This project contains the following underlying data files: – employed_2026.xlsx: Youth employment by country, age, sex, and economic sector. – unemployed_2026.xlsx: Youth unemployment by country, age, sex, and educational attainment. – inactive_2026.xlsx: Youth inactivity by country, age, sex, and educational attainment. – student_2026.xlsx: Youth students by country, age, sex, and educational attainment.本提取数据集涵盖2026年非洲联盟全部53个成员国，并按以下维度进行细分：国家、年份、单一年龄（15–35岁）、性别（女/男）、劳动力市场状态（就业/失业/非劳动力/学生）、受教育程度（无教育、初等教育、初级中等教育、高级中等教育、高等教育）以及经济部门（农业、工业、服务业）。 本研究所用的四份基础数据文件已存入公开可访问的存储库，并采用知识共享署名4.0国际许可协议（Creative Commons Attribution 4.0 International Licence，CC-BY 4.0）发布： • 世界数据实验室（World Data Lab）/非洲青年就业时钟。《非洲青年劳动力市场数据集——2026年非洲》（53个国家，年龄15–35岁）。数据从https://africayouthjobs.io导出。【请注意：我们正在将上述文件上传至Zenodo以获取永久数字对象标识符（Digital Object Identifier，DOI）。该DOI将在本回复发出后48小时内告知编辑团队，并将被纳入最终刊发的稿件版本。】 本项目包含以下基础数据文件： – employed_2026.xlsx：按国家、年龄、性别及经济部门划分的青年就业数据。 – unemployed_2026.xlsx：按国家、年龄、性别及受教育程度划分的青年失业数据。 – inactive_2026.xlsx：按国家、年龄、性别及受教育程度划分的青年非劳动力数据。 – student_2026.xlsx：按国家、年龄、性别及受教育程度划分的青年学生数据。