electricsheepafrica/africa-ilo-emp-nifl-sex-ocu-geo-nb-informal-employment-by-sex-occupation-and-rural-ur

该数据集是一个关于非洲非正规就业的表格型数据集，由Electric Sheep Africa从国际劳工组织（ILO）的ILOSTAT数据库重新打包。数据集包含20,000个观测值，覆盖39个非洲国家，时间跨度为1999年至2025年。核心指标为EMP_NIFL_SEX_OCU_GEO_NB，即按性别、职业和城乡地区划分的非正规就业人数（以千计）。数据通过ILOSTAT REST API获取，并经过标准化处理，遵循国际劳工统计学家会议（ICLS）定义。数据集结构详细，包括国家代码、国家名称、数据源、指标代码、性别分类（总计、男性、女性）、职业技能水平分类、城乡地区分类、年份、观测值、观测状态等列。数据质量方面，数据为年度频率，ILO选择最佳数据源，且分类列仅在指标发布细分数据时非空。数据集适用于表格分类、回归和时间序列预测等任务，可用于研究非洲劳动力市场、非正规经济趋势等。This dataset is a tabular dataset on informal employment in Africa, repackaged by Electric Sheep Africa from the International Labour Organization (ILO) ILOSTAT database. It contains 20,000 observations across 39 African countries, spanning from 1999 to 2025. The core indicator is EMP_NIFL_SEX_OCU_GEO_NB, which measures informal employment by sex, occupation, and rural/urban areas (in thousands). Data is sourced via the ILOSTAT REST API and harmonized using International Conference of Labour Statisticians (ICLS) definitions. The dataset schema includes columns such as country code, country name, data source, indicator code, sex disaggregation (total, male, female), occupation skill level classification, rural/urban area classification, year, observed value, observation status, and more. Data quality notes: annual frequency, ILO-selected best source for duplicate entries, and disaggregation columns are non-null only when breakdowns are published. It is suitable for tabular classification, regression, and time-series forecasting tasks, supporting research on African labor markets and informal economy trends.