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

该数据集是关于亚洲地区非正规就业率的表格型数据集，专注于按性别、公共/私营部门和城乡地区划分的非正规就业率（%）。数据集包含3,923个观察值，覆盖21个亚洲国家（如蒙古、巴勒斯坦、越南、斯里兰卡、巴基斯坦等），时间跨度为2006年至2025年。数据来源于国际劳工组织（ILO）的ILOSTAT数据库，通过REST API提取并过滤到亚洲国家，采用CC-BY-4.0许可证。数据集包含一个核心指标：EMP_NIFL_SEX_INS_GEO_RT，即非正规就业率，并按性别（总计、男性、女性、其他）、机构部门（如总计）和地区类型（如全国）进行维度分解。数据列包括国家代码、国家名称、来源代码、来源标签、指标代码、指标标签、性别分类、分类变量、时间年份、观测值、观测状态及相关注释。数据质量方面，数据为年度频率，ILO选择最佳来源用于同一国家×年份的多个来源，且分解列仅在指标发布该细分时非空。数据集适用于表格分类、表格回归和时间序列预测等任务，旨在为研究人员和开发者提供机器学习就绪的数据层，便于使用HuggingFace的datasets库快速加载和分析。This dataset is a tabular dataset on informal employment rates in Asia, focusing on the informal employment rate by sex, public/private sector, and rural/urban areas (%). It contains 3,923 observations across 21 Asian countries (e.g., Mongolia, Palestine, Vietnam, Sri Lanka, Pakistan), spanning the years 2006 to 2025. The data is sourced from the International Labour Organization (ILO) ILOSTAT database, extracted via the REST API and filtered to Asian countries, under the CC-BY-4.0 license. The dataset includes one core indicator: EMP_NIFL_SEX_INS_GEO_RT, which represents the informal employment rate, disaggregated by dimensions such as sex (total, male, female, other), institutional sector (e.g., total), and area type (e.g., national). Columns include country code, country name, source code, source label, indicator code, indicator label, sex classification, classification variables, time year, observed value, observation status, and related notes. In terms of data quality, the data is annual frequency, with ILO selecting the best source for multiple sources per country×year, and disaggregation columns are non-null only when the indicator publishes that breakdown. The dataset is suitable for tasks like tabular classification, tabular regression, and time-series forecasting, aiming to provide a machine learning-ready data layer for researchers and developers to quickly load and analyze using HuggingFaces datasets library.