electricsheepafrica/africa-ilo-emp-temp-sex-eco-cct-nb-employment-by-sex-economic-activity-and-citizenshi

该数据集包含36,720个观测值，覆盖44个非洲国家，时间跨度为1991年至2025年，主要指标为EMP_TEMP_SEX_ECO_CCT_NB，即按性别、经济活动和公民身份划分的就业数据（以千计）。数据来源于国际劳工组织（ILO）的ILOSTAT数据库，这是一个全球劳动力统计的权威来源，通过REST API获取并过滤至非洲国家。数据集涵盖了国家代码、来源信息、指标代码、性别分类（总计、男性、女性）、经济活动和公民身份分类、观测年份、观测值及其状态标志等字段。数据经过重新打包，旨在为非洲提供统一的、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 36,720 observations covering 44 African countries, spanning the period from 1991 to 2025. Its core indicator is EMP_TEMP_SEX_ECO_CCT_NB, which refers to employment data (in thousands) disaggregated by sex, economic activity, and citizenship. The dataset is sourced from the ILOSTAT database of the International Labour Organization (ILO), an authoritative global repository for labor statistics. The data was retrieved via a REST API and filtered to retain only African countries. It includes fields such as country code, source information, indicator code, sex classification (total, male, female), economic activity and citizenship categorization, observation year, observed value, and its status flag. The data has been repackaged to provide a unified, machine learning-ready data layer for Africa, applicable to tasks including tabular classification, regression, and time series forecasting.