electricsheepasia/asia-ilo-emp-pifl-sex-age-mts-nb-employment-outside-the-formal-sector-by-sex-age-an

该数据集包含亚洲26个国家从2000年至2025年的非正规经济部门就业数据，按性别、年龄和婚姻状况分类，共有65,471个观测值。数据来源于国际劳工组织（ILO）的ILOSTAT数据库，通过API获取并过滤为亚洲国家。数据集涵盖一个核心指标：EMP_PIFL_SEX_AGE_MTS_NB，表示按性别、年龄和婚姻状况划分的非正规经济部门就业人数（以千计）。数据结构包括国家代码、国家名称、数据来源、指标代码、性别分类、年龄分类、婚姻状况分类、年份、观测值等列，支持多维度的数据分析和时间序列预测。数据经过ILO的标准化处理，确保与国际劳工统计会议（ICLS）定义一致，并标注了数据质量标志（如可靠性状态）。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，旨在为研究人员和开发者提供亚洲劳动力市场的标准化、可机读数据。This dataset contains 65,471 observations of informal economy employment data across 26 Asian countries, spanning from 2000 to 2025, disaggregated by sex, age, and marital status. The data is sourced from the International Labour Organization (ILO) ILOSTAT database, retrieved via API and filtered to Asian countries. It focuses on one key indicator: EMP_PIFL_SEX_AGE_MTS_NB, representing employment outside the formal sector in thousands, categorized by sex, age, and marital status. The dataset includes columns such as country code, country name, data source, indicator code, sex classification, age classification, marital status classification, year, observed value, and data quality flags. It is harmonized according to International Conference of Labour Statisticians (ICLS) definitions and supports tasks like tabular classification, regression, and time-series forecasting. Designed for machine learning readiness, it provides normalized, structured data for analyzing labor market trends in Asia.