electricsheepasia/asia-ilo-emp-pifl-sex-ocu-edu-rt-share-of-employment-outside-the-formal-sector-by-s

该数据集包含来自国际劳工组织（ILO）ILOSTAT数据库的非正规经济数据，专门针对亚洲地区。数据集记录了26个亚洲国家从2000年至2025年期间，按性别、职业和教育水平划分的非正规部门就业比例（%）。数据包含81,326个观测值，核心指标为EMP_PIFL_SEX_OCU_EDU_RT，即按性别、职业和教育划分的非正规部门就业比例。数据集通过ILOSTAT REST API获取，并经过数据清洗和标准化处理，包含国家代码、年份、观测值、数据来源、性别分类、职业分类、教育分类等详细列，适用于表格分类、回归和时间序列预测等机器学习任务。This dataset contains informal economy data from the International Labour Organization (ILO) ILOSTAT database, specifically focused on Asia. It records the share of employment outside the formal sector by sex, occupation, and education level (%) for 26 Asian countries from 2000 to 2025. The dataset includes 81,326 observations, with the core indicator being EMP_PIFL_SEX_OCU_EDU_RT (Share of employment outside the formal sector by sex, occupation and education). Data is sourced via the ILOSTAT REST API, cleaned, and normalized, featuring detailed columns such as country codes, year, observed values, data sources, sex disaggregation, occupation classification, and education classification. It is suitable for machine learning tasks like tabular classification, regression, and time-series forecasting.