electricsheepafrica/africa-ilo-emp-dwap-sex-edu-cct-rt-employment-to-population-ratio-by-sex-education-an

该数据集包含了关于非洲42个国家1991年至2025年期间，按性别、教育程度和公民身份细分的就业人口比率（%）的统计数据，共计6,816个观测值。数据来源于国际劳工组织（ILO）的ILOSTAT数据库，并通过其REST API获取，经过筛选仅包含非洲地区的国家代码。数据集中的核心指标为EMP_DWAP_SEX_EDU_CCT_RT，即按性别、教育程度和公民身份划分的就业人口比率。数据模式（Schema）包含多个字段，如国家代码（ref_area）、年份（time）、观测值（obs_value）、性别细分（sex）、教育程度分类（classif1）、公民身份分类（classif2）、数据来源（source）以及各种数据质量注释和状态标志（如obs_status）。数据集旨在为研究人员和开发者提供机器学习就绪的、结构化的非洲劳动力市场数据，特别关注就业人口比率的跨维度分析。This dataset contains 6,816 observations of Employment-to-population ratio (%) data, disaggregated by sex, education, and citizenship, across 42 African countries from 1991 to 2025. The data is sourced from the International Labour Organization (ILO) ILOSTAT database, retrieved via its REST API and filtered to include only African country codes. The core indicator is EMP_DWAP_SEX_EDU_CCT_RT, which stands for Employment-to-population ratio by sex, education and citizenship (%). The dataset schema includes fields such as country code (ref_area), year (time), observed value (obs_value), sex disaggregation (sex), education classification (classif1), citizenship classification (classif2), data source (source), and various data quality notes and status flags (e.g., obs_status). The dataset is designed to provide machine learning-ready, structured labor market data for Africa, with a focus on cross-dimensional analysis of employment-to-population ratios.