electricsheepasia/asia-ilo-emp-nifl-sex-age-ocu-rt-informal-employment-rate-by-sex-age-and-occupation

该数据集包含亚洲27个国家从2000年至2025年的85,158条观测数据，核心指标为按性别、年龄和职业划分的非正规就业率（%）（ILOSTAT指标代码：EMP_NIFL_SEX_AGE_OCU_RT）。数据来源于国际劳工组织（ILO）的ILOSTAT数据库，通过其REST API获取并过滤至亚洲国家。数据集包含详细的分类维度，包括性别（总计、男性、女性、其他）、年龄组（如15岁以上）和职业技能水平分类。每个观测记录包含国家代码、年份、观测数值、数据来源（如劳动力调查）、观测状态（如临时数据、不可靠数据）以及相关注释。数据经过ILO基于国际劳工统计学家会议（ICLS）定义进行标准化处理，确保国际可比性。该数据集适用于表格分类、回归和时间序列预测等机器学习任务，专门针对亚洲地区的非正规经济研究。This dataset contains 85,158 observations across 27 Asian countries from 2000 to 2025, with the core indicator being Informal employment rate by sex, age and occupation (%) (ILOSTAT code: EMP_NIFL_SEX_AGE_OCU_RT). The data originates from the International Labour Organizations ILOSTAT database, retrieved via its REST API and filtered to Asian countries. It includes detailed disaggregation dimensions such as sex (total, male, female, other), age groups (e.g., 15+ years), and occupational skill level classifications. Each observation contains country codes, year, observed value, data source (e.g., Labour Force Survey), observation status (e.g., provisional, unreliable), and relevant notes. The data is harmonized by ILO using International Conference of Labour Statisticians (ICLS) definitions to ensure international comparability. This dataset is suitable for machine learning tasks like tabular classification, regression, and time-series forecasting, specifically focused on informal economy research in Asia.