electricsheepafrica/africa-ilo-emp-nifl-sex-eco-edu-nb-informal-employment-by-sex-economic-activity-and-e

该数据集是关于非洲非正规就业的表格数据，由国际劳工组织（ILO）的ILOSTAT数据库提供，并由Electric Sheep Africa重新打包发布。数据集包含187,236个观测值，覆盖45个非洲国家，时间跨度为1999年至2025年，专注于一个核心指标：按性别、经济活动和教育划分的非正规就业（千人数）（指标代码：EMP_NIFL_SEX_ECO_EDU_NB）。数据通过ILOSTAT REST API获取，并经过过滤以仅包括非洲国家。数据集提供了详细的列结构，包括国家代码、国家名称、数据来源、指标代码、性别分类（总计、男性、女性）、经济活动和教育分类、观测年份、观测值（以千人为单位）、观测状态标志以及相关注释。数据质量方面需要注意：数据为年度频率，ILO选择了每个国家×年份的最佳来源，且分类列仅在指标发布该细分时非空。该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的趋势、性别差异、经济活动和教育水平的影响。使用示例包括加载数据、按国家过滤、绘制时间序列图以及创建国家×年份矩阵。数据集遵循CC-BY-4.0许可证，使用时需引用原始来源和重新打包方。This dataset contains tabular data on informal employment in Africa, sourced from the International Labour Organization (ILO)s ILOSTAT database and repackaged by Electric Sheep Africa. It includes 187,236 observations across 45 African countries, spanning from 1999 to 2025, with a focus on one key indicator: Informal employment by sex, economic activity and education (thousands) (indicator code: EMP_NIFL_SEX_ECO_EDU_NB). Data is retrieved via the ILOSTAT REST API and filtered to African countries. The dataset features a detailed schema with columns for country code, country name, data source, indicator code, sex disaggregation (total, male, female), economic activity and education classifications, observation year, observed value (in thousands), observation status flags, and related notes. Data quality notes indicate annual frequency, use of ILO-selected best source for each country×year, and non-null disaggregation columns only when breakdowns are published. Suitable for tabular classification, regression, and time-series forecasting tasks, it supports analysis of informal employment trends, gender disparities, and impacts of economic activity and education in Africa. Usage examples cover loading data, filtering by country, plotting time series, and creating country×year matrices. The dataset is licensed under CC-BY-4.0, requiring citation of both the original source and repackager.