electricsheepafrica/africa-ilo-emp-nifl-sex-est-geo-rt-informal-employment-rate-by-sex-establishment-size

该数据集包含12,960条关于非正规经济的观测数据，涵盖38个非洲国家，时间跨度为2004年至2025年，涉及1个具体指标：EMP_NIFL_SEX_EST_GEO_RT，即按性别、企业规模和城乡地区划分的非正规就业率（百分比）。数据来源于国际劳工组织（ILO）的ILOSTAT数据库，通过REST API获取并过滤为非洲国家代码。数据集包括国家代码、国家名称、数据来源、指标代码、指标名称、性别分类（总计、男性、女性）、企业规模分类、城乡地区分类、观测年份、观测值、观测状态等列。数据为年度频率，并使用ILO选择的最佳来源进行整合。数据集适用于表格分类、表格回归和时间序列预测等任务，主要用于非洲地区的劳动力市场分析。This dataset contains 12,960 observations on the informal economy, covering 38 African countries spanning from 2004 to 2025, and includes one specific indicator: EMP_NIFL_SEX_EST_GEO_RT, which refers to the informal employment rate (in percentage) disaggregated by sex, enterprise size and urban-rural area. The data is sourced from the ILOSTAT database of the International Labour Organization (ILO), obtained via the REST API and filtered to retain only African country codes. The dataset comprises columns such as country code, country name, data source, indicator code, indicator name, gender classification (total, male, female), enterprise size classification, urban-rural area classification, observation year, observed value, and observation status. The data is of annual frequency and integrated using the optimal sources selected by the ILO. This dataset is suitable for tasks including tabular classification, tabular regression and time series forecasting, and is primarily utilized for labor market analysis in the African region.