electricsheepafrica/africa-ilo-emp-nifl-sex-age-nb-informal-employment-by-sex-and-age-thousands

该数据集名为按性别和年龄划分的非正规就业（千人）| 非洲（ILOSTAT），是一个关于非洲非正规就业的表格数据集。它包含16,287个观测值，覆盖45个非洲国家，时间跨度为1999年至2025年，核心指标为EMP_NIFL_SEX_AGE_NB，即按性别和年龄划分的非正规就业人数（以千计）。数据来源于国际劳工组织（ILO）的ILOSTAT统计数据库，由Electric Sheep Africa重新打包为机器学习就绪格式。数据集采用结构化表格形式，包含列如国家代码（ref_area）、年份（time）、性别分类（sex）、观测值（obs_value）等，支持按性别（总计、男性、女性）和年龄等维度进行细分。数据集适用于表格分类、回归分析和时间序列预测等自然语言处理任务，旨在为非洲劳动力市场研究提供标准化数据。The dataset is named Informal employment by sex and age (thousands) | Africa (ILOSTAT), which is a tabular dataset on informal employment in Africa. It contains 16,287 observations across 45 African countries, spanning the years 1999–2025, with one core indicator: EMP_NIFL_SEX_AGE_NB (Informal employment by sex and age in thousands). The data is sourced from the International Labour Organization (ILO) ILOSTAT database, repackaged by Electric Sheep Africa for machine learning readiness. The dataset is structured in a tabular format with columns such as country code (ref_area), year (time), sex disaggregation (sex), observed value (obs_value), etc., allowing breakdowns by sex (total, male, female) and age dimensions. It is suitable for tabular classification, regression, and time-series forecasting tasks, providing standardized data for labor market research in Africa.