electricsheepasia/asia-ilo-emp-nifl-sex-ins-dsb-rt-informal-employment-rate-by-sex-public-private-sec

该数据集包含亚洲16个国家（如蒙古、斯里兰卡、亚美尼亚等）从2006年至2024年的非正规就业率数据，重点关注按性别、公共/私营部门和残疾状况细分的指标。数据集包含1,401个观测值，覆盖一个核心指标（EMP_NIFL_SEX_INS_DSB_RT），即“按性别、公共/私营部门和残疾状况划分的非正规就业率（百分比）”。数据来源于国际劳工组织（ILO）的ILOSTAT数据库，通过REST API获取，并经过亚洲国家代码过滤和标准化处理。数据模式包括国家代码、年份、观测值、分类维度（如性别、部门、残疾状况）以及数据来源和质量标志。该数据集适用于表格分类、回归和时间序列预测任务，旨在为研究亚洲劳动力市场和非正规经济提供机器学习就绪的数据。数据以CC-BY-4.0许可证发布，由Electric Sheep Asia重新打包。This dataset contains 1,401 observations of informal employment rate data across 16 Asia countries, spanning 2006–2024, covering one distinct indicator: Informal employment rate by sex, public/private sector and disability status (%) (EMP_NIFL_SEX_INS_DSB_RT). It is sourced from ILOSTAT, the ILOs central statistics database, and includes disaggregation by sex (total, male, female), institutional sector, and disability status. The data is harmonized using International Conference of Labour Statisticians (ICLS) definitions and is provided in a tabular format with columns for country codes, years, observation values, and metadata such as source and quality flags. It is designed for machine learning applications in tabular classification, regression, and time-series forecasting tasks, repackaged by Electric Sheep Asia under the CC-BY-4.0 license.