electricsheepafrica/africa-ilo-emp-pifl-sex-age-mts-nb-employment-outside-the-formal-sector-by-sex-age-an

该数据集包含来自国际劳工组织（ILO）ILOSTAT数据库的非正规经济数据，专注于非洲地区。数据集涵盖45个非洲国家，时间跨度为1999年至2025年，包含74,481条观察值。核心指标为EMP_PIFL_SEX_AGE_MTS_NB，即按性别、年龄和婚姻状况划分的非正规部门就业人数（以千计）。数据通过ILOSTAT REST API获取，并经过ILO使用国际劳工统计学家会议（ICLS）定义进行标准化处理。数据集结构包括国家代码（ref_area）、指标代码（indicator）、性别分类（sex）、年龄和婚姻状况分类（classif1和classif2）、年份（time）、观测值（obs_value）等列。数据质量注意事项包括：数据为年度频率，ILO选择最佳来源处理多源冲突，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，可用于分析非洲非正规就业趋势。This dataset contains informal economy data from the International Labour Organization (ILO) ILOSTAT database, focusing on Africa. It covers 45 African countries from 1999 to 2025, with 74,481 observations. The core indicator is EMP_PIFL_SEX_AGE_MTS_NB, representing employment outside the formal sector by sex, age, and marital status (in thousands). Data is sourced directly from the ILOSTAT REST API and harmonized by ILO using International Conference of Labour Statisticians (ICLS) definitions. The schema includes columns such as country code (ref_area), indicator code (indicator), sex disaggregation (sex), age and marital status classifications (classif1 and classif2), year (time), and observed value (obs_value). Data quality caveats note: data is annual frequency, ILO-selected best source is used for multiple sources per country-year, and disaggregation columns are non-null only when published. The dataset is suitable for tabular classification, regression, and time-series forecasting tasks, enabling analysis of informal employment trends in Africa.