electricsheepafrica/africa-ilo-emp-dwap-sex-age-edu-rt-employment-to-population-ratio-by-sex-age-and-educ

该数据集是一个关于非洲国家按性别、年龄和教育程度划分的就业人口比率（%）的表格数据集，源自国际劳工组织（ILO）的ILOSTAT数据库。它包含185,189个观测值，覆盖49个非洲国家，时间跨度为1982年至2025年，并专注于一个核心指标：EMP_DWAP_SEX_AGE_EDU_RT（按性别、年龄和教育程度划分的就业人口比率）。数据通过ILOSTAT REST API获取，并经过标准化处理，使用国际劳工统计学家会议（ICLS）定义。数据集包含详细的列结构，如国家代码、指标代码、性别分类（总计、男性、女性）、年龄和教育分类、观测年份、观测值以及数据质量标志。该数据集适用于表格分类、回归和时间序列预测任务，旨在为研究非洲劳动力市场提供机器学习就绪的数据。This dataset is a tabular dataset on the employment-to-population ratio by sex, age, and education (%) for African countries, sourced from the International Labour Organization (ILO) ILOSTAT database. It contains 185,189 observations covering 49 African countries from 1982 to 2025, focusing on one key indicator: EMP_DWAP_SEX_AGE_EDU_RT (Employment-to-population ratio by sex, age and education). The data is retrieved via the ILOSTAT REST API and harmonized using International Conference of Labour Statisticians (ICLS) definitions. The dataset includes detailed columns such as country codes, indicator codes, sex disaggregation (total, male, female), age and education classifications, observation year, observed values, and data quality flags. It is suitable for tabular classification, regression, and time-series forecasting tasks, designed to provide machine learning-ready data for studying African labor markets.