electricsheepafrica/africa-ilo-emp-nifl-sex-ocu-geo-rt-informal-employment-rate-by-sex-occupation-and-rur

该数据集名为按性别、职业和城乡地区划分的非正规就业率（%）| 非洲（ILOSTAT），包含了来自国际劳工组织（ILO）核心统计数据库ILOSTAT的非正规经济数据。具体而言，它提供了1999年至2025年间39个非洲国家的19,980条观测值，涵盖一个核心指标：EMP_NIFL_SEX_OCU_GEO_RT，即按性别、职业和城乡地区划分的非正规就业率（百分比）。数据通过ILOSTAT REST API直接获取，并经过处理以仅包含非洲国家。数据集中的每条记录都包含国家代码、国家名称、数据源、指标代码、指标标签、性别分类（总计、男性、女性）、职业技能水平分类、地区类型（如全国）、观测年份、观测值（百分比）、观测状态标志以及相关注释。数据质量方面，数据为年度频率，ILO会为同一国家×年份选择最佳数据源，且分类列仅在指标发布该细分时非空。该数据集由Electric Sheep Africa重新打包，旨在为非洲提供一个统一的、机器学习就绪的数据层，方便研究人员和开发人员使用。This dataset, titled Informal employment rate by sex, occupation and rural / urban areas (%) | Africa (ILOSTAT), contains informal economy data from the International Labour Organizations (ILO) central statistics database, ILOSTAT. Specifically, it provides 19,980 observations across 39 African countries spanning from 1999 to 2025, covering one key indicator: EMP_NIFL_SEX_OCU_GEO_RT, which is the informal employment rate by sex, occupation and rural/urban areas (%). The data is pulled directly from the ILOSTAT REST API and filtered to African country codes. Each record in the dataset includes country code, country name, data source, indicator code, indicator label, sex disaggregation (total, male, female), occupation skill level classification, area type (e.g., national), observation year, observed value (percentage), observation status flags, and related notes. In terms of data quality, the data is annual frequency, the ILO selects the best source for the same country×year, and disaggregation columns are non-null only when the indicator publishes that breakdown. The dataset is repackaged by Electric Sheep Africa as part of a unified, ML-ready data layer for Africa, facilitating easy use for researchers and developers.