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

该数据集是一个表格型数据集，专注于欧洲非正规部门就业占比的统计分析。它包含41,989个观测值，覆盖34个欧洲国家，时间跨度为2003年至2025年，数据以年度频率更新。核心指标为EMP_PIFL_SEX_AGE_RT，即按性别和年龄划分的非正规部门就业占比（百分比）。数据来源于国际劳工组织（ILO）的ILOSTAT数据库，通过REST API提取并过滤到欧洲国家，确保了权威性和一致性。数据集结构包括国家代码（ISO 3166-1 alpha-3）、国家名称、指标代码、指标标签、性别细分（总计、男性、女性）、年龄分类、观测年份、观测值以及数据质量标志（如可靠性状态）等列。该数据集适用于表格分类、表格回归和时间序列预测等任务，可用于研究欧洲劳动力市场、非正规经济趋势以及性别和年龄差异分析。数据以CC-BY-4.0许可证发布，由Electric Sheep Europe重新打包并发布在HuggingFace平台上，便于机器学习研究和应用。This dataset is a tabular dataset focused on statistical analysis of the share of employment outside the formal sector in Europe. It contains 41,989 observations covering 34 European countries from 2003 to 2025, with annual frequency updates. The core indicator is EMP_PIFL_SEX_AGE_RT, which represents the share of employment outside the formal sector by sex and age (percentage). The data is sourced from the International Labour Organization (ILO)s ILOSTAT database, extracted via REST API and filtered to European countries, ensuring authority and consistency. The dataset structure includes columns such as country code (ISO 3166-1 alpha-3), country name, indicator code, indicator label, sex disaggregation (total, male, female), age classification, observation year, observed value, and data quality flags (e.g., reliability status). This dataset is suitable for tasks like tabular classification, tabular regression, and time-series forecasting, and can be used to study European labor markets, informal economy trends, and gender and age disparities. The data is released under the CC-BY-4.0 license, repackaged by Electric Sheep Europe and published on the HuggingFace platform for easy machine learning research and applications.