electricsheepafrica/africa-ilo-emp-dwap-sex-dsb-rt-employment-to-population-ratio-by-sex-and-disabili

该数据集是一个关于非洲国家按性别和残疾状况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1,121个观测值，覆盖41个非洲国家，时间跨度为1998年至2025年，涵盖一个核心指标：EMP_DWAP_SEX_DSB_RT（就业人口比率按性别和残疾状况划分）。数据通过ILOSTAT REST API获取，并使用国际劳工统计学家会议（ICLS）定义进行标准化，以确保一致性和可追溯性。数据集包括多个维度，如国家代码、来源、性别（总计、男性、女性）、残疾状况分类、观测年份和数值，以及数据质量标志。它适用于表格分类、回归和时序预测任务，旨在为研究人员和开发者提供机器学习就绪的非洲就业数据，由Electric Sheep Africa重新打包并发布在HuggingFace上。This dataset is a tabular dataset on the employment-to-population ratio by sex and disability status (%) for African countries, sourced from the International Labour Organization (ILO)s ILOSTAT database. It contains 1,121 observations across 41 African countries, spanning the years 1998 to 2025, and covers one core indicator: EMP_DWAP_SEX_DSB_RT (employment-to-population ratio by sex and disability status). The data is retrieved via the ILOSTAT REST API and harmonized using International Conference of Labour Statisticians (ICLS) definitions for consistency and traceability. The dataset includes multiple dimensions such as country codes, sources, sex (total, male, female), disability status classification, observation years and values, and data quality flags. It is suitable for tabular classification, regression, and time-series forecasting tasks, and is designed to provide machine learning-ready employment data for Africa, repackaged by Electric Sheep Africa and published on HuggingFace.