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

该数据集包含22,821个观测值，涉及非洲41个国家的非正规经济就业数据，时间跨度为1999年至2025年。数据集聚焦于一个核心指标：按性别、年龄和城乡地区分类的非正规部门就业人数（以千计）。数据来源于国际劳工组织（ILO）的ILOSTAT统计数据库，通过API直接获取并过滤为非洲国家代码，确保数据权威性和一致性。数据集结构包括国家代码、国家名称、数据来源、指标代码、性别分类、年龄分类、城乡分类、观测年份、观测值及其状态标志等列，支持按国家、年份和分类维度进行细分分析。数据以年度频率发布，经过ILO harmonisation处理，使用国际劳工统计学家会议（ICLS）定义进行标准化，适用于表格分类、回归和时间序列预测等机器学习任务。数据集由Electric Sheep Africa重新打包，以Parquet格式提供，便于通过Hugging Face的load_dataset()函数快速加载和使用。This dataset contains 22,821 observations of informal economy employment data across 41 African countries, spanning from 1999 to 2025. It focuses on one key indicator: Employment outside the formal sector by sex, age, and rural/urban areas (in thousands). The data is sourced from the International Labour Organization (ILO) ILOSTAT database, retrieved directly via its REST API and filtered to African ISO3 country codes. The dataset schema includes columns such as country code, country name, data source, indicator code, sex disaggregation, age classification, rural/urban classification, observation year, observed value, and status flags, enabling detailed analysis by country, year, and demographic dimensions. Data is published at annual frequency, harmonized by ILO using International Conference of Labour Statisticians (ICLS) definitions, and is suitable for tabular classification, regression, and time-series forecasting tasks. Repackaged by Electric Sheep Africa in Parquet format, it allows easy loading via Hugging Faces load_dataset() function for machine learning applications.