electricsheepafrica/africa-ilo-emp-nifl-sex-age-ins-nb-informal-employment-by-sex-age-and-public-private

该数据集包含非洲45个国家1999年至2025年期间按性别、年龄和公共/私营部门划分的非正规就业统计数据，单位为千人。数据集共有27,631个观测值，涵盖一个核心指标：EMP_NIFL_SEX_AGE_INS_NB（按性别、年龄和公共/私营部门划分的非正规就业）。数据来源于国际劳工组织（ILO）的ILOSTAT数据库，通过ILOSTAT REST API获取并过滤为非洲国家代码。数据集包含详细的列结构，如国家代码（ref_area）、国家名称（ref_area.label）、数据来源（source和source.label）、指标代码（indicator和indicator.label）、性别分类（sex和sex.label）、年龄分类（classif1和classif1.label）、部门分类（classif2和classif2.label）、观测年份（time）、观测值（obs_value）以及数据状态标志（obs_status）等。性别维度包括总计（SEX_T）、男性（SEX_M）和女性（SEX_F）三个类别。数据为年度频率，并经过ILO的 harmonisation 处理，使用国际劳工统计学家会议（ICLS）定义。数据集适用于表格分类、表格回归和时间序列预测等任务，可用于分析非洲非正规就业的趋势和模式。This dataset contains statistics on informal employment by sex, age, and public/private sector for 45 African countries from 1999 to 2025, measured in thousands. It includes 27,631 observations and covers one core indicator: EMP_NIFL_SEX_AGE_INS_NB (Informal employment by sex, age and public/private sector). The data is sourced from the International Labour Organization (ILO) ILOSTAT database, retrieved via the ILOSTAT REST API and filtered to African country codes. The dataset features a detailed schema with columns such as country code (ref_area), country name (ref_area.label), data source (source and source.label), indicator code (indicator and indicator.label), sex classification (sex and sex.label), age classification (classif1 and classif1.label), sector classification (classif2 and classif2.label), observation year (time), observed value (obs_value), and data status flags (obs_status). The sex dimension includes three categories: total (SEX_T), male (SEX_M), and female (SEX_F). The data is annual frequency and harmonized by ILO using International Conference of Labour Statisticians (ICLS) definitions. It is suitable for tasks like tabular classification, tabular regression, and time-series forecasting, enabling analysis of informal employment trends and patterns in Africa.