electricsheepafrica/africa-ilo-emp-temp-sex-ste-est-nb-employment-by-sex-status-in-employment-and-establi

该数据集名为按性别、就业状况和机构规模分类的就业数据（千计）| 非洲（ILOSTAT），包含来自国际劳工组织（ILO）ILOSTAT数据库的就业统计信息。数据集覆盖41个非洲国家，时间跨度为1991年至2025年，共有41,685个观测值。核心指标为EMP_TEMP_SEX_STE_EST_NB，即按性别、就业状况和机构规模分类的就业人数（以千计）。数据通过ILOSTAT REST API获取，并经过标准化处理，使用国际劳工统计学家会议（ICLS）定义进行协调。数据集包含多个维度的分类变量，如性别（总计、男性、女性）、就业状况和机构规模，以及国家代码、数据来源、观测年份、观测值（单位为千）和质量标志（如可靠性状态）等列。数据以年度频率提供，适用于表格分类、回归和时间序列预测等任务。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数据层，采用CC-BY-4.0许可证。This dataset, titled Employment by sex, status in employment and establishment size (thousands) | Africa (ILOSTAT), contains employment statistics from the International Labour Organization (ILO) ILOSTAT database. It covers 41 African countries from 1991 to 2025, with 41,685 observations. The core indicator is EMP_TEMP_SEX_STE_EST_NB, which represents Employment by sex, status in employment and establishment size (thousands). Data is sourced via the ILOSTAT REST API and harmonized using International Conference of Labour Statisticians (ICLS) definitions. The dataset includes disaggregation dimensions such as sex (total, male, female), status in employment, and establishment size, along with columns for country codes, data sources, observation years, observed values (in thousands), and quality flags (e.g., reliability status). Data is provided at annual frequency and is suitable for tasks like tabular classification, regression, and time-series forecasting. Repackaged by Electric Sheep Africa as part of a unified ML-ready data layer for Africa, it is released under the CC-BY-4.0 license.