electricsheepafrica/africa-ilo-emp-nifl-sex-geo-dsb-rt-informal-employment-rate-by-sex-rural-urban-areas

该数据集名为按性别、农村/城市地区和残疾状况划分的非正规就业率（%）| 非洲（ILOSTAT），是一个关于非洲非正规就业的表格数据集。它包含1,861个观测值，覆盖28个非洲国家，时间跨度为2007年至2025年，专注于一个核心指标：EMP_NIFL_SEX_GEO_DSB_RT，即按性别、农村/城市地区和残疾状况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，该数据库是全球劳工统计的主要来源，通过国家劳动力调查、家庭收入调查等数据源进行整合和标准化。数据集经过Electric Sheep Africa重新打包，以Parquet格式提供，便于机器学习使用。数据包括国家代码、来源、指标、性别（总计、男性、女性）、分类变量（如地区类型、残疾状况）、年份、观测值及其状态标志等列，支持表格分类、回归和时间序列预测任务。数据集遵循CC-BY-4.0许可证，旨在为研究人员和开发者提供非洲地区的标准化、即用型劳工统计数据。Informal employment rate by sex, rural / urban areas and disability status (%) | Africa (ILOSTAT). This dataset contains 1,861 observations of informal economy data across 28 Africa countries, spanning 2007–2025, covering 1 distinct indicator: EMP_NIFL_SEX_GEO_DSB_RT, which represents the informal employment rate disaggregated by sex, rural/urban areas, and disability status (%). The data is sourced from ILOSTAT, the ILOs central statistics database, harmonized using International Conference of Labour Statisticians definitions, and repackaged by Electric Sheep Africa for ML-ready use. It includes columns such as country codes, source information, indicator details, sex disaggregation, classification variables, time, observed values, and status flags, supporting tabular classification, regression, and time-series forecasting tasks. The dataset is released under the CC-BY-4.0 license and provides a normalized, accessible format for labor statistics research in Africa.