electricsheepafrica/africa-ilo-emp-temp-sex-ocu-nb-employment-by-sex-and-occupation-thousands

该数据集是关于非洲就业数据的统计集合，主题为“按性别和职业分类的就业人数（千）”。它包含15,562条观察值，覆盖非洲51个国家，时间跨度为1971年至2025年。数据来源于国际劳工组织（ILO）的ILOSTAT数据库，通过API获取并过滤为非洲国家。数据集包含1个主要指标：EMP_TEMP_SEX_OCU_NB，即按性别和职业分类的就业人数（单位千）。数据结构为表格形式，包括列如国家代码（ref_area）、国家名称（ref_area.label）、数据来源（source）、指标代码（indicator）、性别分类（sex，包括总计、男性、女性）、年份（time）、观测值（obs_value）等。数据经过ILO的标准化处理，使用国际劳工统计学家会议（ICLS）定义，并包含数据质量注释（如观测状态标志）。数据集适用于表格分类、回归和时间序列预测等任务，旨在为机器学习和研究提供非洲地区的就业统计信息。This dataset contains statistical data on employment in Africa, titled Employment by sex and occupation (thousands) | Africa (ILOSTAT). It includes 15,562 observations across 51 African countries, spanning the years 1971 to 2025. The data is sourced from the ILOSTAT database of the International Labour Organization (ILO), retrieved via API and filtered to African country codes. The dataset features one key indicator: EMP_TEMP_SEX_OCU_NB, which represents employment disaggregated by sex and occupation (in thousands). The data is structured in tabular format with columns such as country code (ref_area), country name (ref_area.label), source (source), indicator code (indicator), sex classification (sex, including total, male, female), year (time), observed value (obs_value), and data quality flags (e.g., obs_status). It is harmonized using International Conference of Labour Statisticians (ICLS) definitions and includes notes on methodology and sources. The dataset is designed for machine learning tasks like tabular classification, regression, and time-series forecasting, providing a comprehensive view of employment trends in Africa.