electricsheepeurope/europe-ilo-emp-temp-age-ste-nb-employment-by-age-and-status-in-employment-thousan

该数据集包含关于欧洲39个国家在1983年至2025年期间的就业数据，共有132,535个观测值，涵盖1个独特指标：按年龄和就业状况划分的就业人数（千）。数据来源于国际劳工组织（ILO）的ILOSTAT数据库，这是一个全球领先的劳动统计来源，通过整合国家劳动力调查、家庭收入调查、机构调查和行政记录来编译指标。数据集经过重新打包，由Electric Sheep Europe发布，旨在为欧洲提供一个统一的、机器学习就绪的数据层。数据以表格形式组织，包括国家代码、国家名称、来源、指标、分类变量（如年龄和就业状况）、观测年份、观测值等列。数据质量方面，数据为年度频率，当同一国家×年份有多个来源时，使用ILO选择的“最佳来源”，且分类列仅在指标发布细分时非空。数据集适用于表格分类、表格回归和时间序列预测等任务。This dataset contains 132,535 observations of employment data across 39 Europe countries, spanning from 1983 to 2025, covering 1 distinct indicator: Employment by age and status in employment (thousands). The data is sourced from ILOSTAT, the ILOs central statistics database, which is a leading global source for labour statistics, compiling indicators from national labour force surveys, household income surveys, establishment surveys, and administrative records. Repackaged by Electric Sheep Europe, the dataset is part of a unified, ML-ready data layer for Europe on HuggingFace. The data is organized in tabular format, including columns such as country code, country name, source, indicator, classification variables (e.g., age and employment status), observation year, observed value, etc. In terms of data quality, the data is annual frequency, uses the ILO-selected best source when multiple sources exist for the same country×year, and disaggregation columns are non-null only when the indicator publishes that breakdown. The dataset is suitable for tasks like tabular classification, tabular regression, and time-series forecasting.