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

该数据集名为按性别和年龄划分的非正规就业人数（千）| 欧洲（ILOSTAT），是一个关于欧洲非正规就业的表格数据集。它包含43,373个观测值，涵盖34个欧洲国家，时间跨度为2003年至2025年。数据集的核心指标是EMP_NIFL_SEX_AGE_NB，即按性别和年龄划分的非正规就业人数（以千计）。数据来源于国际劳工组织（ILO）的ILOSTAT数据库，该数据库是全球劳动统计的主要来源，整合了就业、失业、工资、工作时间、童工、非正规经济、社会保护、职业伤害和可持续发展目标体面工作指标等多方面数据。数据集通过ILOSTAT的REST API直接获取，并筛选为欧洲国家代码。ILOSTAT使用国际劳工统计学家会议（ICLS）的定义对原始调查微观数据进行协调，数据来源在source.label列中标记以确保可追溯性。数据集包含多个字段，如国家代码（ref_area）、国家名称（ref_area.label）、数据来源代码（source）、数据来源名称（source.label）、指标代码（indicator）、指标名称（indicator.label）、性别分类（sex）、年龄分类（classif1）、观测年份（time）、观测值（obs_value）等。数据为年度频率，当同一国家×年份有多个数据来源时，使用ILO选择的最佳来源。数据按性别（总计、男性、女性）和年龄（如15岁以上）等维度进行细分，并包含数据质量标志（如观测状态obs_status）。数据集适用于表格分类、回归和时间序列预测等任务，可用于分析欧洲非正规就业的趋势和模式。This dataset is titled "Number of Informal Employment by Sex and Age (Thousand) | Europe (ILOSTAT)", which is a tabular dataset focused on informal employment in Europe. It contains 43,373 observations, covering 34 European countries, with a time span from 2003 to 2025. The core indicator of this dataset is EMP_NIFL_SEX_AGE_NB, which refers to the number of informal employment persons by sex and age, measured in thousands. The dataset is sourced from the ILOSTAT database of the International Labour Organization (ILO), a primary global source of labor statistics that integrates data on employment, unemployment, wages, working hours, child labor, informal economy, social protection, occupational injuries, and decent work indicators under the Sustainable Development Goals (SDGs), among other aspects. The dataset was directly obtained via the REST API of ILOSTAT, and filtered to include only European country codes. ILOSTAT harmonizes the original survey microdata using the definitions from the International Conference of Labour Statisticians (ICLS), and the data sources are marked in the `source.label` column to ensure traceability. The dataset includes multiple fields, such as country code (`ref_area`), country name (`ref_area.label`), data source code (`source`), data source name (`source.label`), indicator code (`indicator`), indicator name (`indicator.label`), sex category (`sex`), age category (`classif1`), observation year (`time`), and observed value (`obs_value`). The data is at annual frequency; when multiple data sources exist for the same country-year pair, the best-selected source by the ILO is used. The data is disaggregated by dimensions including sex (total, male, female) and age (e.g., 15 years and above), and also includes data quality flags such as the observation status (`obs_status`). This dataset is applicable to tasks such as tabular classification, regression, and time series forecasting, and can be used to analyze trends and patterns of informal employment in Europe.