electricsheepeurope/europe-ilo-emp-nifl-sex-geo-dsb-nb-informal-employment-by-sex-rural-urban-areas-and-d

该数据集包含欧洲29个国家从2007年到2025年的非正规就业数据，共有9,681个观测值，涵盖1个独特指标：EMP_NIFL_SEX_GEO_DSB_NB（按性别、城乡地区和残疾状况分类的非正规就业，单位：千）。数据来源于国际劳工组织（ILO）的ILOSTAT统计数据库，通过REST API直接获取并过滤为欧洲国家代码。数据集包括以下关键字段：国家代码（ref_area）、国家名称（ref_area.label）、数据来源代码（source）、来源名称（source.label）、指标代码（indicator）、指标名称（indicator.label）、性别分类（sex）、第一分类变量（classif1，如地区类型）、第二分类变量（classif2，如残疾状况）、观测年份（time）、观测值（obs_value）、观测状态（obs_status）等。数据按性别（总计、男性、女性）、城乡地区和残疾状况进行细分，适用于表格分类、回归和时间序列预测等任务。数据集由Electric Sheep Europe重新打包，采用CC-BY-4.0许可协议。This dataset contains 9,681 observations of informal employment data across 29 Europe countries, spanning from 2007 to 2025, covering 1 distinct indicator: EMP_NIFL_SEX_GEO_DSB_NB (Informal employment by sex, rural/urban areas and disability status, in thousands). The data is sourced from the International Labour Organizations (ILO) ILOSTAT statistics database, retrieved directly via the REST API and filtered to European country codes. Key fields include: country code (ref_area), country name (ref_area.label), source code (source), source name (source.label), indicator code (indicator), indicator name (indicator.label), sex disaggregation (sex), first classification variable (classif1, e.g., area type), second classification variable (classif2, e.g., disability status), observation year (time), observed value (obs_value), observation status (obs_status), etc. The data is disaggregated by sex (total, male, female), rural/urban areas, and disability status, making it suitable for tasks such as tabular classification, regression, and time-series forecasting. The dataset is repackaged by Electric Sheep Europe and released under the CC-BY-4.0 license.