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

该数据集名为按性别、教育程度和婚姻状况划分的非正规部门就业（千）| 非洲（ILOSTAT），是一个关于非洲非正规经济就业的表格型数据集。它包含60,771个观测值，覆盖45个非洲国家，时间跨度为1999年至2025年。数据集的核心指标是EMP_PIFL_SEX_EDU_MTS_NB，即按性别、教育程度和婚姻状况划分的非正规部门就业人数（以千为单位）。数据来源于国际劳工组织（ILO）的ILOSTAT数据库，通过其REST API获取，并经过Electric Sheep Africa重新打包发布。数据集采用结构化表格形式，包含国家代码（ref_area）、国家名称、数据来源代码和标签、指标代码和标签、性别分类（SEX_T总计、SEX_M男性、SEX_F女性）、教育程度分类（classif1）、婚姻状况分类（classif2）、观测年份（time）、观测值（obs_value）以及数据状态标志等列。数据按年度频率提供，部分观测值可能带有临时或不可靠等状态标记。该数据集适用于表格分类、回归和时间序列预测等机器学习任务，可用于分析非洲各国非正规就业的性别、教育和婚姻状况差异及其随时间的变化趋势。This dataset is titled Employment outside the formal sector by sex, education and marital status (thousands) | Africa (ILOSTAT) and is a tabular dataset focusing on informal economy employment in Africa. It contains 60,771 observations across 45 African countries, spanning the years 1999 to 2025. The core indicator is EMP_PIFL_SEX_EDU_MTS_NB, which measures employment outside the formal sector disaggregated by sex, education, and marital status (in thousands). The data is sourced from the International Labour Organizations (ILO) ILOSTAT database, retrieved via its REST API, and repackaged by Electric Sheep Africa for publication. The dataset is structured in a tabular format with columns including country code (ref_area), country name, source code and label, indicator code and label, sex disaggregation (SEX_T total, SEX_M male, SEX_F female), education classification (classif1), marital status classification (classif2), observation year (time), observed value (obs_value), and data status flags, among others. Data is provided at an annual frequency, with some observations marked with statuses such as provisional or unreliable. This dataset is suitable for machine learning tasks like tabular classification, regression, and time-series forecasting, enabling analysis of gender, education, and marital status disparities in informal employment across African countries and their trends over time.