electricsheepafrica/africa-ilo-emp-pifl-sex-eco-ins-nb-employment-outside-the-formal-sector-by-sex-econom

该数据集包含来自国际劳工组织（ILO）ILOSTAT数据库的非洲45个国家非正规经济部门就业数据，涵盖1999年至2025年期间的35,626条观测记录。核心指标为EMP_PIFL_SEX_ECO_INS_NB，表示按性别、经济活动和公共/私营部门划分的非正规部门就业人数（以千计）。数据通过ILOSTAT REST API获取，并经过过滤以仅包含非洲国家。数据集结构包括国家代码、指标代码、性别分类（总计、男性、女性）、经济活动和制度部门分类、观测年份、数值以及数据质量标志等列。数据来源包括劳动力调查、家庭收入调查等，并遵循国际劳工统计学家会议（ICLS）的定义进行标准化。该数据集由Electric Sheep Africa重新打包，旨在为非洲提供机器学习就绪的数据层，适用于表格分类、回归和时间序列预测等任务。

This dataset contains informal economy employment data for 45 African countries from the International Labour Organization (ILO) ILOSTAT database, spanning the years 1999 to 2025 with 35,626 observations. The primary indicator is EMP_PIFL_SEX_ECO_INS_NB, which represents employment outside the formal sector by sex, economic activity, and public/private sector (in thousands). Data is pulled directly from the ILOSTAT REST API and filtered to include only African countries. The dataset schema includes columns such as country code, indicator code, sex disaggregation (total, male, female), economic activity and institutional sector classifications, observation year, numerical values, and data quality flags. Sources include labour force surveys, household income surveys, and others, harmonized using International Conference of Labour Statisticians (ICLS) definitions. Repackaged by Electric Sheep Africa, it aims to provide a unified, ML-ready data layer for Africa, suitable for tabular classification, regression, and time-series forecasting tasks.