electricsheepafrica/africa-ilo-emp-temp-sex-ste-ocu-nb-employment-by-sex-status-in-employment-and-occupat

该数据集是一个关于非洲国家劳动就业的表格型数据集，具体包含按性别、就业状况和职业划分的就业人数统计（以千人为单位）。数据来源于国际劳工组织（ILO）的ILOSTAT数据库，覆盖48个非洲国家，时间跨度为1982年至2025年，共包含92,705个观测值和1个核心指标：EMP_TEMP_SEX_STE_OCU_NB（按性别、就业状况和职业划分的就业数据）。数据集通过ILOSTAT REST API获取，并经过ILO基于国际劳工统计学家会议（ICLS）定义的标准化处理，确保数据可比性和一致性。数据列结构包括国家代码、国家名称、数据来源、指标代码、性别分类（总计、男性、女性）、分类变量（如就业状况和职业）、观察年份、观测值、观测状态等，支持多维度的分析和时间序列研究。数据为年度频率，并包含数据质量说明，如ILO选择的最佳来源策略。该数据集由Electric Sheep Africa重新打包，旨在为非洲提供统一的、机器学习就绪的数据层，便于研究人员和开发者快速使用。This dataset is a tabular dataset on labor employment in African countries, specifically containing statistics on employment by sex, status in employment, and occupation (in thousands). The data is sourced from the International Labour Organization (ILO)s ILOSTAT database, covering 48 African countries from 1982 to 2025, with 92,705 observations and one core indicator: EMP_TEMP_SEX_STE_OCU_NB (Employment by sex, status in employment and occupation). The data is retrieved via the ILOSTAT REST API and harmonized by ILO using International Conference of Labour Statisticians (ICLS) definitions to ensure comparability and consistency. The dataset schema includes columns such as country code, country name, data source, indicator code, sex disaggregation (total, male, female), classification variables (e.g., status in employment and occupation), observation year, observed value, observation status, etc., supporting multi-dimensional analysis and time-series studies. The data is annual frequency and includes data quality caveats, such as ILOs best source selection. Repackaged by Electric Sheep Africa, this dataset aims to provide a unified, ML-ready data layer for Africa, facilitating quick use by researchers and developers.