electricsheepafrica/africa-ilo-emp-temp-sex-ins-geo-nb-employment-by-sex-public-private-sector-and-rural

该数据集包含非洲44个国家从1999年至2025年的就业数据，具体指标为按性别、公共/私营部门以及城乡地区划分的就业人数（千）。数据集共有6,330个观测值，涵盖1个主要指标（EMP_TEMP_SEX_INS_GEO_NB）。数据来源于国际劳工组织（ILO）的ILOSTAT数据库，通过其REST API获取，并经过过滤以仅包含非洲国家。数据字段包括国家代码、国家名称、数据来源、指标代码、性别分类（总计、男性、女性）、分类变量（如机构部门、地区类型）、观测年份、观测值、观测状态及相关注释。数据集为年度频率，并提供了数据质量说明，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、适用于机器学习的数据层。This dataset contains 6,330 observations of employment data across 44 Africa countries, spanning 1999–2025, covering 1 distinct indicator: Employment by sex, public/private sector and rural/urban areas (thousands). The data is sourced from the ILOSTAT database of the International Labour Organization (ILO), retrieved via its REST API and filtered to Africa ISO3 country codes. The dataset includes columns such as country code, country name, source, indicator code, sex disaggregation (total, male, female), classification variables (e.g., institutional sector, area type), observation year, observed value, observation status, and related notes. The data is annual frequency, with quality notes indicating the use of ILO-selected best source when multiple sources exist, and disaggregation columns are non-null only when the indicator publishes that breakdown. The dataset is repackaged by Electric Sheep Africa as part of a unified, ML-ready data layer for Africa on HuggingFace.