electricsheepafrica/africa-ilo-emp-nifl-eco-ocu-rt-informal-employment-rate-by-economic-activity-and

该数据集包含64,044个观测值，覆盖43个非洲国家，时间跨度为1999年至2025年，专注于非正规经济数据。数据来源于国际劳工组织（ILO）的ILOSTAT统计数据库，该数据库是全球劳动力统计的主要来源，涵盖就业、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（SDG）体面工作指标等主题。数据集通过ILOSTAT REST API提取，并过滤为非洲国家代码，使用国际劳工统计学家会议（ICLS）定义进行数据协调。核心指标为EMP_NIFL_ECO_OCU_RT，即按经济活动和职业划分的非正规就业率（百分比）。数据集包含多个列，如国家代码、国家名称、数据来源、指标代码、分类变量（如经济活动和职业）、观测年份、观测值、观测状态标志和注释等。数据为年度频率，并包含数据质量注意事项，例如当同一国家×年份有多个来源时，使用ILO选择的最佳来源。数据集旨在支持表格分类、回归和时间序列预测等任务，适用于机器学习和研究用途。This dataset contains 64,044 observations of informal economy data across 43 Africa countries, spanning 1999 to 2025. The data is sourced from ILOSTAT, the International Labour Organizations central statistics database, which is a leading global source for labour statistics covering topics such as employment, unemployment, wages, working time, child labour, informal economy, social protection, occupational injuries, and SDG decent work targets. Data is pulled directly from the ILOSTAT REST API and filtered to Africa ISO3 country codes, with harmonization using ICLS (International Conference of Labour Statisticians) definitions. The core indicator is EMP_NIFL_ECO_OCU_RT, representing the informal employment rate by economic activity and occupation (%). The dataset includes columns such as country code, country name, source code, indicator code, classification variables (e.g., economic activity and occupation), observation year, observed value, observation status flags, and notes. Data is annual frequency, with caveats like the use of ILO-selected best source when multiple sources exist for the same country×year. It is designed for tasks like tabular classification, regression, and time-series forecasting, and is suitable for machine learning and research purposes.