electricsheepafrica/africa-ilo-emp-temp-sex-ste-edu-nb-employment-by-sex-status-in-employment-and-educati

该数据集包含关于非洲就业的统计信息，具体为“按性别、就业状况和教育程度划分的就业人数（以千计）”。数据集源自国际劳工组织（ILO）的ILOSTAT数据库，这是一个全球领先的劳动统计数据源。数据覆盖49个非洲国家，时间跨度为1982年至2025年，共包含96,074个观测值，涉及1个核心指标：EMP_TEMP_SEX_STE_EDU_NB。数据通过ILOSTAT REST API获取，并经过筛选和标准化处理，以确保与非洲国家的ISO3代码匹配。数据集包括多个列，如国家代码、国家名称、数据来源、指标代码、性别分类、就业状况分类、教育程度分类、观察年份、观测值以及数据质量标志等。数据按年度频率发布，并经过ILO的协调处理，以符合国际劳工统计学家会议（ICLS）的定义。数据集适用于表格分类、表格回归和时间序列预测等任务，旨在为研究人员和开发者提供机器学习就绪的非洲劳动市场数据。This dataset contains statistical information on employment in Africa, specifically the number of employed people (in thousands) categorized by gender, employment status, and educational attainment. It is sourced from the ILOSTAT database of the International Labour Organization (ILO), a leading global labor statistics data provider. The dataset covers 49 African countries, spans the period from 1982 to 2025, includes a total of 96,074 observations, and involves one core indicator: EMP_TEMP_SEX_STE_EDU_NB. The data was obtained via the ILOSTAT REST API, and underwent filtering and standardization to ensure alignment with the ISO3 codes of African countries. It comprises multiple columns, such as country code, country name, data source, indicator code, gender category, employment status category, educational attainment category, observation year, observed value, and data quality flag, among others. The data is released at an annual frequency, and has been coordinately processed by the ILO to comply with the definitions of the International Conference of Labour Statisticians (ICLS). This dataset is applicable to tasks including table classification, table regression and time series forecasting, and aims to provide machine learning-ready African labor market data for researchers and developers.