electricsheepafrica/africa-ilo-emp-nifl-sex-ins-mts-nb-informal-employment-by-sex-public-private-sector-a

该数据集包含来自国际劳工组织（ILO）ILOSTAT数据库的非正规就业统计数据，专门针对非洲地区。数据集覆盖45个非洲国家，时间范围为2000年至2025年，包含14,544个观测值。核心指标为EMP_NIFL_SEX_INS_MTS_NB，即按性别、公共/私营部门和婚姻状况划分的非正规就业人数（以千计）。数据通过ILOSTAT REST API获取，并经过和谐处理以符合国际劳工统计学家会议（ICLS）的定义。数据集提供了详细的分类维度，包括性别（总计、男性、女性）、机构部门（总计）和婚姻状况（总计），并包含国家代码、年份、观测值、数据来源和质量标志等信息。该数据集由Electric Sheep Africa重新打包，旨在为非洲提供机器学习就绪的数据层，适用于表格分类、回归和时间序列预测等任务。This dataset contains informal employment statistics from the International Labour Organization (ILO) ILOSTAT database, specifically focused on Africa. It covers 45 African countries from 2000 to 2025, with 14,544 observations. The core indicator is EMP_NIFL_SEX_INS_MTS_NB, which represents informal employment by sex, public/private sector, and marital status (in thousands). Data is sourced directly from the ILOSTAT REST API and harmonized using International Conference of Labour Statisticians (ICLS) definitions. The dataset includes detailed disaggregation dimensions such as sex (total, male, female), institutional sector (total), and marital status (total), along with country codes, year, observed values, data sources, and quality flags. Repackaged by Electric Sheep Africa, it is designed as a machine learning-ready data layer for Africa, suitable for tasks like tabular classification, regression, and time-series forecasting.