electricsheepasia/asia-ilo-emp-nifl-sex-eco-edu-rt-informal-employment-rate-by-sex-economic-activity

该数据集包含来自国际劳工组织（ILO）ILOSTAT数据库的非正规就业率统计数据，专门针对亚洲地区。数据集涵盖27个亚洲国家，时间跨度为2000年至2025年，共包含176,512个观测值。核心指标为EMP_NIFL_SEX_ECO_EDU_RT，即按性别、经济活动和教育划分的非正规就业率（百分比）。数据通过ILOSTAT REST API获取，并经过筛选以仅包括亚洲国家。数据集提供了详细的结构化信息，包括国家代码、国家名称、数据来源（如劳动力调查）、指标代码、指标名称、性别分类（总计、男性、女性等）、经济活动分类、教育分类、观测年份、观测值（浮点数表示百分比）、观测状态标志（如不可靠）以及相关注释。数据以年度频率发布，ILO在多个数据源中选择最佳来源以确保质量。该数据集适用于表格分类、表格回归和时间序列预测等任务，旨在为研究者和开发者提供机器学习就绪的数据层，以分析亚洲地区的非正规经济就业趋势。This dataset contains informal employment rate statistics from the International Labour Organization (ILO) ILOSTAT database, specifically focused on Asia. It covers 27 Asian countries from 2000 to 2025, with 176,512 observations. The core indicator is EMP_NIFL_SEX_ECO_EDU_RT, which represents the informal employment rate by sex, economic activity, and education (%). Data is sourced via the ILOSTAT REST API and filtered to include only Asian countries. The dataset provides detailed structured information, including country codes, country names, data sources (e.g., labour force surveys), indicator codes, indicator names, sex disaggregation (total, male, female, etc.), economic activity classification, education classification, observation year, observed values (float representing percentages), observation status flags (e.g., unreliable), and related notes. Data is published at annual frequency, with ILO selecting the best source among multiple sources for quality assurance. This dataset is suitable for tasks such as tabular classification, tabular regression, and time-series forecasting, aiming to provide a machine learning-ready data layer for researchers and developers to analyze informal economy employment trends in Asia.