electricsheepeurope/europe-ilo-emp-nifl-sex-mts-dsb-nb-informal-employment-by-sex-marital-status-and-disa

该数据集是关于欧洲非正规就业的统计数据集，具体聚焦于按性别、婚姻状况和残疾状况分类的非正规就业人数（以千人为单位）。数据来源于国际劳工组织（ILO）的ILOSTAT数据库，涵盖了31个欧洲国家从2007年到2025年的年度观测数据，总计25,276个观测值。数据集包含一个核心指标：EMP_NIFL_SEX_MTS_DSB_NB，即“按性别、婚姻状况和残疾状况分类的非正规就业（千人）”。数据通过ILOSTAT REST API获取，并经过处理以符合欧洲国家代码标准。数据集提供了详细的列结构，包括国家代码、国家名称、数据来源、指标代码、性别分类、婚姻状况分类、残疾状况分类、观测年份、观测值、观测状态等。数据质量方面，ILO使用国际劳工统计学家会议（ICLS）定义对原始调查微数据进行协调处理，并标注了来源以便追溯。数据集适用于表格分类、回归和时间序列预测等任务，旨在为研究欧洲劳动力市场、非正规经济提供机器学习就绪的数据支持。This dataset is a statistical dataset on informal employment in Europe, specifically focusing on informal employment by sex, marital status, and disability status (in thousands). The data is sourced from the International Labour Organization (ILO)s ILOSTAT database, covering 31 European countries with annual observations from 2007 to 2025, totaling 25,276 observations. The dataset includes one core indicator: EMP_NIFL_SEX_MTS_DSB_NB, which represents Informal employment by sex, marital status and disability status (thousands). Data is retrieved via the ILOSTAT REST API and processed to align with European country codes. It provides a detailed schema with columns such as country code, country name, data source, indicator code, sex classification, marital status classification, disability status classification, observation year, observed value, and observation status. For data quality, ILO harmonizes raw survey microdata using International Conference of Labour Statisticians (ICLS) definitions and flags sources for traceability. The dataset is suitable for tasks like tabular classification, regression, and time-series forecasting, aiming to offer machine learning-ready data for studying the European labor market and informal economy.