electricsheepafrica/africa-ilo-emp-temp-sex-sks-ifl-nb-employment-by-sex-educational-mismatch-statistical

该数据集包含非洲36个国家在2001年至2025年间的6,103个观测值，专注于按性别、教育错配（统计方法）和工作性质（非正式/正式）分类的就业数据。数据集源自国际劳工组织（ILO）的ILOSTAT数据库，通过Electric Sheep Africa重新打包，以支持机器学习和研究使用。数据涵盖单一指标（EMP_TEMP_SEX_SKS_IFL_NB），包括国家代码、数据来源、指标代码、性别分类（总计、男性、女性）、分类变量（如教育错配总计、工作性质总计）、观测年份、观测值（单位：千）以及数据质量标志（如不可靠）等列。数据集旨在提供标准化、易于使用的非洲劳动力市场数据，适用于表格分类、回归和时间序列预测等任务。This dataset contains 6,103 observations of employment data across 36 African countries from 2001 to 2025, focusing on employment by sex, educational mismatch (statistical approach), and nature of job (informal/formal). It is sourced from the International Labour Organization (ILO) ILOSTAT database and repackaged by Electric Sheep Africa for machine learning and research use. The data covers a single indicator (EMP_TEMP_SEX_SKS_IFL_NB) and includes columns such as country code, data source, indicator code, sex disaggregation (total, male, female), classification variables (e.g., mismatch total, nature of job total), observation year, observed value (in thousands), and data quality flags (e.g., unreliable). The dataset is designed to provide standardized, easily accessible labor market data for Africa, suitable for tasks like tabular classification, regression, and time-series forecasting.