electricsheepafrica/africa-ilo-emp-nifl-sex-eco-mts-rt-informal-employment-rate-by-sex-economic-activity

该数据集名为按性别、经济活动和婚姻状况划分的非正规就业率（%）| 非洲（ILOSTAT），包含58,006个观测值，覆盖45个非洲国家，时间跨度为2000年至2025年，涵盖1个独特指标：EMP_NIFL_SEX_ECO_MTS_RT，即按性别、经济活动和婚姻状况划分的非正规就业率（%）。数据来源于国际劳工组织（ILO）的ILOSTAT统计数据库，通过其REST API获取，并经过处理以仅包含非洲国家。数据集提供了详细的列结构，包括国家代码、来源、指标、性别分类、经济活动分类、婚姻状况分类、年份、观测值等，支持表格分类、表格回归和时间序列预测等任务。数据以年度频率发布，并包含数据质量说明，如使用ILO选择的最佳来源，以及分类列仅在指标发布细分数据时非空。该数据集由Electric Sheep Africa重新打包，旨在为非洲提供统一的、机器学习就绪的数据层。The dataset is named Informal employment rate by sex, economic activity and marital status (%) | Africa (ILOSTAT) and contains 58,006 observations across 45 African countries, spanning from 2000 to 2025, covering 1 distinct indicator: EMP_NIFL_SEX_ECO_MTS_RT, which represents the informal employment rate by sex, economic activity and marital status (%). The data is sourced from ILOSTAT, the International Labour Organizations (ILO) central statistics database, retrieved via its REST API and filtered to include only African countries. The dataset provides a detailed schema with columns such as country code, source, indicator, sex disaggregation, economic activity classification, marital status classification, year, observed value, etc., supporting tasks like tabular classification, tabular regression, and time-series forecasting. Data is published at annual frequency and includes quality caveats, such as the use of ILO-selected best source when multiple sources exist, and disaggregation columns are non-null only when the indicator publishes breakdowns. It is repackaged by Electric Sheep Africa as part of a unified, ML-ready data layer for Africa.