electricsheepafrica/africa-ilo-emp-nifl-sex-how-nb-informal-employment-by-sex-and-weekly-hours-actual

该数据集包含关于非正规就业的统计数据，具体指标为按性别和每周实际工作小时数划分的非正规就业人数（以千计），覆盖39个非洲国家，时间跨度为2000年至2025年，总计4,231个观测值。数据来源于国际劳工组织（ILO）的ILOSTAT数据库，通过API获取并经过标准化处理，采用国际劳工统计学家会议（ICLS）定义进行数据协调。数据集以表格形式呈现，包括国家代码、国家名称、数据来源、指标代码、性别分类、年份、观测值等列，可用于分类、回归或时间序列预测等机器学习任务。数据聚焦于非洲地区的非正规经济分析，支持按国家、年份或性别进行筛选和可视化，适用于劳动力市场研究和政策评估。This dataset contains statistical data on informal employment, specifically the indicator Informal employment by sex and weekly hours actually worked (thousands), covering 39 African countries from 2000 to 2025, with a total of 4,231 observations. The data is sourced from the International Labour Organization (ILO) ILOSTAT database, retrieved via API and harmonized using International Conference of Labour Statisticians (ICLS) definitions. It is presented in tabular format, including columns such as country code, country name, data source, indicator code, sex classification, year, observed value, etc. The dataset is suitable for machine learning tasks like tabular classification, regression, or time-series forecasting, focusing on informal economy analysis in Africa, and supports filtering and visualization by country, year, or sex for labor market research and policy evaluation.