electricsheepeurope/europe-ilo-ees-tees-sex-est-geo-nb-employees-by-sex-establishment-size-and-rural-urba

该数据集包含欧洲9个国家的员工数据，时间跨度为1992年至2025年，共有11,559个观测值。数据指标为EES_TEES_SEX_EST_GEO_NB，即按性别、企业规模和城乡区域划分的员工数量（以千计）。数据来源于国际劳工组织（ILO）的ILOSTAT统计数据库，通过REST API获取并过滤欧洲国家数据。数据集包括多个维度：国家（使用ISO 3166-1 alpha-3代码）、数据来源（如劳动力调查）、性别（总计、男性、女性）、企业规模分类、城乡分类、年份、观测值（员工数量）、观测状态（如不可靠）等。数据为年度频率，并包含数据质量说明，例如当同一国家×年份有多个来源时，使用ILO选择的最佳来源。数据集以表格形式存储，适用于表格分类、回归和时间序列预测任务。This dataset contains employee data for 9 European countries, spanning from 1992 to 2025, with 11,559 observations. The indicator is EES_TEES_SEX_EST_GEO_NB, which represents employees by sex, establishment size, and rural/urban areas (in thousands). The data is sourced from the International Labour Organization (ILO)s ILOSTAT statistical database, retrieved via REST API and filtered to European country codes. The dataset includes multiple dimensions: country (using ISO 3166-1 alpha-3 codes), data source (e.g., labor force surveys), sex (total, male, female), establishment size classification, rural/urban classification, year, observed value (number of employees), observation status (e.g., unreliable), etc. The data is annual frequency and includes data quality caveats, such as using the ILO-selected best source when multiple sources exist for the same country×year. The dataset is stored in tabular format and is suitable for tabular classification, regression, and time-series forecasting tasks.