electricsheepasia/asia-ilo-emp-pifl-sex-ins-nb-employment-outside-the-formal-sector-by-sex-and-pu

该数据集名为按性别和公共/私营部门划分的非正规部门就业人数（千）| 亚洲（ILOSTAT），包含1,101个观测值，覆盖26个亚洲国家，时间跨度为2006年至2025年，涵盖1个指标：EMP_PIFL_SEX_INS_NB（按性别和公共/私营部门划分的非正规部门就业人数，单位千）。数据来源于国际劳工组织（ILO）的ILOSTAT数据库，通过API获取并过滤到亚洲国家。数据集包括以下列：国家代码（ref_area）、国家名称（ref_area.label）、来源代码（source）、来源名称（source.label）、指标代码（indicator）、指标名称（indicator.label）、性别分类（sex）、性别标签（sex.label）、第一分类变量（classif1）、第一分类标签（classif1.label）、年份（time）、观测值（obs_value）、观测状态（obs_status）等。数据为年度频率，涵盖非正规经济主题，用于表格分类、回归和时间序列预测任务。数据集由Electric Sheep Asia重新打包，采用CC-BY-4.0许可证。The dataset is titled Employment outside the formal sector by sex and public/private sector (thousands) | Asia (ILOSTAT). It contains 1,101 observations across 26 Asia countries, spanning the years 2006–2025, and covers 1 distinct indicator: EMP_PIFL_SEX_INS_NB (Employment outside the formal sector by sex and public/private sector, in thousands). The data is sourced from ILOSTAT, the ILOs central statistics database, obtained via REST API and filtered to Asia ISO3 country codes. Key columns include ref_area (country code), ref_area.label (country name), source (source code), source.label (source name), indicator (indicator code), indicator.label (indicator name), sex (sex disaggregation), sex.label (sex label), classif1 (first classification variable), classif1.label (first classification label), time (year), obs_value (observed value), obs_status (observation status flag), and others. The data is annual frequency, focuses on the informal economy topic, and is suited for tabular classification, regression, and time-series forecasting tasks. Repackaged by Electric Sheep Asia under the CC-BY-4.0 license.