electricsheepeurope/europe-ilo-emp-nifl-sex-nb-informal-employment-by-sex-thousands

该数据集包含欧洲34个国家2003年至2025年按性别划分的非正规就业（千人数）的观测数据，总计1,671条观测值，涵盖1个主要指标（EMP_NIFL_SEX_NB）。数据来源于国际劳工组织（ILO）的ILOSTAT数据库，通过REST API获取并过滤为欧洲国家代码，使用国际劳工统计学家会议（ICLS）定义进行标准化处理。数据集为表格形式，包含列如国家代码（ref_area）、国家名称（ref_area.label）、数据源（source）、指标代码（indicator）、性别分类（sex）、观测年份（time）、观测值（obs_value）等，支持按性别（总计、男性、女性）细分。数据质量方面，为年度频率数据，当同一国家×年份有多个数据源时采用ILO选择的“最佳来源”，且分类列仅在指标发布细分数据时非空。数据集适用于表格分类、回归和时间序列预测任务，主要用于劳动经济和就业研究。This dataset contains observations of informal employment by sex (in thousands) across 34 European countries from 2003 to 2025, with a total of 1,671 observations and one main indicator (EMP_NIFL_SEX_NB). The data is sourced from the ILOSTAT database of the International Labour Organization (ILO), retrieved via REST API and filtered to European country codes, harmonized using International Conference of Labour Statisticians (ICLS) definitions. The dataset is in tabular format, including columns such as country code (ref_area), country name (ref_area.label), data source (source), indicator code (indicator), sex disaggregation (sex), observation year (time), observed value (obs_value), etc., with support for sex breakdowns (total, male, female). In terms of data quality, it is annual frequency data, using the ILO-selected best source when multiple sources exist for the same country×year, and disaggregation columns are non-null only when the indicator publishes that breakdown. The dataset is suitable for tabular classification, regression, and time-series forecasting tasks, primarily used for labor economics and employment research.