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

该数据集包含亚洲23个国家从2000年至2025年关于非正规经济就业比例的24,958个观测值。数据来源于国际劳工组织（ILO）的ILOSTAT数据库，核心指标为EMP_PIFL_SEX_AGE_GEO_RT，即按性别、年龄和城乡地区划分的非正规部门就业比例（%）。数据集提供了详细的分类维度，包括性别（总计、男性、女性等）、年龄组、地区类型（如全国范围）以及年份。每个观测值包含国家代码、国家名称、数据来源、指标代码、分类变量、观测年份、数值、数据状态标志和相关注释。数据经过ILO的标准化处理，使用国际劳工统计学家会议（ICLS）的定义进行统一，并标注了来源以便追溯。该数据集适用于表格分类、回归和时间序列预测等任务，旨在为研究亚洲劳动力市场、非正规经济和就业趋势提供机器学习就绪的数据支持。This dataset contains 24,958 observations on the share of employment outside the formal sector across 23 Asian countries from 2000 to 2025. It is sourced from the ILOSTAT database of the International Labour Organization (ILO), with the core indicator being EMP_PIFL_SEX_AGE_GEO_RT, which measures the percentage of employment outside the formal sector disaggregated by sex, age, and rural/urban areas. The dataset includes detailed dimensions such as sex (total, male, female, etc.), age groups, area types (e.g., national), and year. Each observation contains country codes, country names, data sources, indicator codes, classification variables, observation year, numerical values, data status flags, and relevant notes. The data is harmonized by the ILO using International Conference of Labour Statisticians (ICLS) definitions and includes source annotations for traceability. It is suitable for tasks like tabular classification, regression, and time-series forecasting, providing ML-ready data for studying labor markets, informal economy, and employment trends in Asia.