electricsheepeurope/europe-ilo-emp-pifl-sex-edu-rt-share-of-employment-outside-the-formal-sector-by-s

该数据集名为按性别和教育程度划分的非正规部门就业份额（%）| 欧洲（ILOSTAT），是一个关于欧洲非正规部门就业情况的表格型数据集。它包含9,260个观测值，覆盖35个欧洲国家（如奥地利、荷兰、瑞典等），时间跨度为2003年至2025年。核心指标为EMP_PIFL_SEX_EDU_RT，表示按性别和教育程度划分的非正规部门就业份额（百分比）。数据来源于国际劳工组织（ILO）的ILOSTAT数据库，通过API直接获取，并经过欧洲国家代码过滤。数据集采用ILO的统计标准（如ICLS定义）进行数据标准化，包含多个维度：国家（ISO3代码和英文名称）、数据来源（如劳动力调查）、指标代码和标签、性别分类（总计、男性、女性）、教育水平分类、观测年份、观测值（浮点数）、数据状态标志（如不可靠）以及相关注释。数据为年度频率，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 Europe重新打包，以Parquet格式发布，便于机器学习使用。

This dataset is titled Share of employment outside the formal sector by sex and education (%) | Europe (ILOSTAT) and is a tabular dataset on informal economy employment in Europe. It contains 9,260 observations across 35 European countries (e.g., Austria, Netherlands, Sweden), spanning the years 2003–2025. The core indicator is EMP_PIFL_SEX_EDU_RT, which represents the share of employment outside the formal sector by sex and education (%). Data is sourced from the International Labour Organization (ILO) ILOSTAT database, pulled directly via API and filtered to Europe ISO3 country codes. The dataset follows ILO statistical standards (e.g., ICLS definitions) for harmonization and includes dimensions such as country (ISO3 code and English name), data source (e.g., labour force surveys), indicator code and label, sex disaggregation (total, male, female), education classification, observation year, observed value (float), data status flags (e.g., unreliable), and related notes. Data is annual frequency and suitable for tabular classification, regression, and time-series forecasting tasks. Repackaged by Electric Sheep Europe in Parquet format for machine learning readiness.