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

该数据集包含62,332个观察值，涉及35个欧洲国家在2003年至2025年期间的非正规经济就业数据，重点关注按性别、教育水平和婚姻状况划分的就业比例（%）。数据来源于国际劳工组织（ILO）的ILOSTAT数据库，通过REST API获取并经过欧洲国家代码过滤。数据集涵盖了1个核心指标（EMP_PIFL_SEX_EDU_MTS_RT），表示非正规经济就业的份额，并提供了多维分类变量，如性别、教育分类和婚姻状况分类。数据以表格形式组织，包括国家代码、年份、观测值、数据来源和质量标志等列，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，旨在为机器学习提供统一、标准化的欧洲数据层。This dataset contains 62,332 observations of informal economy employment data across 35 European countries, spanning from 2003 to 2025, focusing on the share of employment outside the formal sector by sex, education, and marital status (%). It is sourced from the International Labour Organizations (ILO) ILOSTAT database, retrieved via REST API and filtered to Europe ISO3 country codes. The dataset covers one key indicator (EMP_PIFL_SEX_EDU_MTS_RT), representing the percentage of informal employment, and includes disaggregation dimensions such as sex, education classification, and marital status classification. Data is structured in tabular format with columns for country codes, year, observed values, source information, and quality flags, suitable for tasks like tabular classification, regression, and time-series forecasting. Repackaged by Electric Sheep Europe, it aims to provide a unified, ML-ready data layer for Europe on HuggingFace.