electricsheepafrica/africa-ilo-eap-teap-sex-edu-geo-nb-labour-force-by-sex-education-and-rural-urban-area

该数据集包含非洲劳动力统计数据，具体涉及按性别、教育程度和城乡地区划分的劳动力数量（以千人为单位）。数据涵盖45个非洲国家，时间跨度为1994年至2025年，共包含29,407个观测值和1个核心指标（EAP_TEAP_SEX_EDU_GEO_NB）。数据集来源于国际劳工组织（ILO）的ILOSTAT数据库，通过API获取并经过过滤处理，以统一格式提供。数据列包括国家代码、国家名称、数据来源、指标代码、性别分类、教育分类、地区分类、观测年份、观测值、数据状态标志等。该数据集适用于表格分类、回归和时间序列预测等机器学习任务，并附有详细的使用示例和质量说明。This dataset contains labour force statistics for Africa, specifically the labour force by sex, education level, and rural/urban areas (in thousands). It covers 45 African countries from 1994 to 2025, with 29,407 observations and one core indicator (EAP_TEAP_SEX_EDU_GEO_NB). The data is sourced from the International Labour Organizations (ILO) ILOSTAT database, retrieved via API and filtered to focus on Africa, and presented in a standardized format. Columns include country codes, country names, data sources, indicator codes, sex disaggregation, education classification, area classification, observation year, observed values, and data status flags. The dataset is suitable for machine learning tasks such as tabular classification, regression, and time-series forecasting, and comes with usage examples and quality caveats.