electricsheepafrica/africa-ilo-emp-temp-sex-how-edu-nb-employment-by-sex-weekly-hours-actually-worked-and

该数据集包含了来自国际劳工组织（ILO）ILOSTAT数据库的就业统计数据，专门针对非洲地区。它涵盖了41个非洲国家从1991年至2025年的就业数据，共计69,772条观测记录。核心指标为按性别、每周实际工作小时数和教育程度划分的就业人数（千），指标代码为EMP_TEMP_SEX_HOW_EDU_NB。数据按性别（总计、男性、女性）等多个维度进行细分。数据来源于ILOSTAT REST API，并经过国际劳工统计学家会议（ICLS）定义进行标准化处理，确保了数据的国际可比性。数据集旨在为研究人员和开发者提供关于非洲劳动力市场的结构化、机器学习就绪的数据，可用于表格分类、回归或时间序列预测等任务。This dataset contains employment statistics from the International Labour Organization (ILO) ILOSTAT database, focusing on Africa. It comprises 69,772 observations across 41 African countries, spanning the years 1991 to 2025. The core indicator is Employment by sex, weekly hours actually worked and education (thousands) with the code EMP_TEMP_SEX_HOW_EDU_NB. Data is disaggregated by dimensions such as sex (total, male, female). The data is sourced directly from the ILOSTAT REST API and harmonized using International Conference of Labour Statisticians (ICLS) definitions for international comparability. The dataset is designed to provide structured, ML-ready data on African labor markets for tasks like tabular classification, regression, or time-series forecasting.