electricsheepafrica/africa-ilo-emp-temp-sex-ifl-ocu-nb-employment-by-sex-informal-formal-job-and-occupati

该数据集包含关于非洲非正规经济的就业数据，具体涉及按性别、非正规/正规工作和职业分类的就业人数（以千计）。数据来源于国际劳工组织（ILO）的ILOSTAT数据库，覆盖43个非洲国家，时间跨度为2000年至2025年，共有24,971个观察值。数据集包括一个核心指标：EMP_TEMP_SEX_IFL_OCU_NB，该指标衡量了按性别、工作性质（非正规或正规）和职业分类的就业情况。数据通过ILOSTAT REST API获取，并经过处理以仅包含非洲国家代码。数据集结构包括多个列，如国家代码、国家名称、数据来源、指标代码、性别分类、分类变量、观察年份、观察值、观察状态和相关注释。数据为年度频率，并遵循国际劳工统计学家会议（ICLS）的定义进行统一处理。该数据集由Electric Sheep Africa重新打包，旨在为非洲提供统一的、适合机器学习的数据层。This dataset contains employment data on the informal economy in Africa, specifically focusing on employment by sex, informal/formal job, and occupation (in thousands). The data is sourced from the ILOSTAT database of the International Labour Organization (ILO), covering 43 African countries from 2000 to 2025, with 24,971 observations. It includes one core indicator: EMP_TEMP_SEX_IFL_OCU_NB, which measures employment disaggregated by sex, nature of job (informal or formal), and occupation. The data is retrieved via the ILOSTAT REST API and filtered to include only African country codes. The dataset schema comprises columns such as country code, country name, data source, indicator code, sex classification, classification variables, observation year, observed value, observation status, and related notes. The data is annual in frequency and harmonized using International Conference of Labour Statisticians (ICLS) definitions. This dataset is repackaged by Electric Sheep Africa as part of a unified, ML-ready data layer for Africa.