electricsheepafrica/africa-ilo-emp-nifl-sex-ocu-mts-nb-informal-employment-by-sex-occupation-and-marital

该数据集名为按性别、职业和婚姻状况划分的非正规就业（千）| 非洲（ILOSTAT），是一个关于非洲非正规就业的表格数据集。它包含64,563个观测值，覆盖43个非洲国家，时间跨度为2000年至2025年，聚焦于1个核心指标：EMP_NIFL_SEX_OCU_MTS_NB，即按性别、职业和婚姻状况划分的非正规就业人数（以千计）。数据来源于国际劳工组织（ILO）的ILOSTAT数据库，该数据库是全球劳动统计的主要来源，通过协调各国劳动力调查、家庭收入调查等原始数据，确保定义一致（基于国际劳工统计学家会议标准）。数据集结构包括多列：国家代码和名称（如AGO代表安哥拉）、来源信息（如调查类型）、指标代码和标签、性别分类（总计、男性、女性）、职业和婚姻状况分类变量、观测年份、观测值（数值）、观测状态标志（如不可靠）以及相关注释。数据按年度频率提供，并经过筛选仅包含非洲国家，部分数据可能因来源不同而有质量标注（如不可靠）。该数据集适用于表格分类、回归和时间序列预测任务，旨在支持对非洲非正规经济的研究和分析，由Electric Sheep Africa重新打包以方便机器学习使用。This dataset, titled Informal employment by sex, occupation and marital status (thousands) | Africa (ILOSTAT), is a tabular dataset focusing on informal employment in Africa. It contains 64,563 observations across 43 African countries, spanning from 2000 to 2025, and centers on one key indicator: EMP_NIFL_SEX_OCU_MTS_NB, which measures informal employment by sex, occupation, and marital status in thousands. The data is sourced from ILOSTAT, the International Labour Organizations central statistics database, a leading global source for labour statistics that harmonizes raw survey microdata using International Conference of Labour Statisticians definitions. The dataset schema includes columns such as country code and name (e.g., AGO for Angola), source information (e.g., survey type), indicator code and label, sex disaggregation (total, male, female), classification variables for occupation and marital status, observation year, observed value (numeric), observation status flags (e.g., unreliable), and related notes. Data is provided at an annual frequency and is filtered to African countries only, with some entries marked for quality (e.g., unreliable). It is suitable for tabular classification, regression, and time-series forecasting tasks, repackaged by Electric Sheep Africa for machine learning readiness to support research and analysis of the informal economy in Africa.