electricsheepasia/asia-ilo-emp-nifl-sex-est-mts-nb-informal-employment-by-sex-establishment-size-and

该数据集包含了亚洲地区非正规就业的统计数据，具体涉及按性别、企业规模和婚姻状况分类的非正规就业人数（以千计）。数据来源于国际劳工组织（ILO）的ILOSTAT数据库，覆盖23个亚洲国家，时间跨度为2000年至2025年，共包含21,676个观测值。数据集的核心指标为EMP_NIFL_SEX_EST_MTS_NB，即非正规就业按性别、企业规模和婚姻状况的细分数据。数据结构包括多个列，如国家代码（ref_area）、国家名称（ref_area.label）、数据来源（source和source.label）、指标代码和标签（indicator和indicator.label）、性别分类（sex和sex.label）、企业规模分类（classif1和classif1.label）、婚姻状况分类（classif2和classif2.label）、年份（time）、观测值（obs_value）以及数据状态和注释等。数据以年度频率提供，并经过ILO的标准化处理，确保定义一致。数据集由Electric Sheep Asia重新打包，旨在为机器学习研究提供统一的亚洲数据层，方便用户通过HuggingFace的datasets库快速加载和使用。This dataset contains statistical data on informal employment in Asia, specifically focusing on informal employment by sex, establishment size, and marital status (in thousands). The data is sourced from the ILOSTAT database of the International Labour Organization (ILO), covering 23 Asian countries from 2000 to 2025, with a total of 21,676 observations. The core indicator is EMP_NIFL_SEX_EST_MTS_NB, which provides disaggregated data on informal employment by these dimensions. The dataset schema includes columns such as country code (ref_area), country name (ref_area.label), data source (source and source.label), indicator code and label (indicator and indicator.label), sex classification (sex and sex.label), establishment size classification (classif1 and classif1.label), marital status classification (classif2 and classif2.label), year (time), observed value (obs_value), and data status and notes. The data is provided at an annual frequency and has been harmonized by the ILO using International Conference of Labour Statisticians (ICLS) definitions. Repackaged by Electric Sheep Asia, this dataset is part of a unified, ML-ready data layer for Asia on HuggingFace, enabling easy loading and usage via the datasets library.