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electricsheepafrica/africa-ilo-ees-tees-sex-age-geo-nb-employees-by-sex-age-and-rural-urban-areas-thousan

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Hugging Face2026-05-26 更新2026-05-31 收录
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https://hf-mirror.com/datasets/electricsheepafrica/africa-ilo-ees-tees-sex-age-geo-nb-employees-by-sex-age-and-rural-urban-areas-thousan
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资源简介:
该数据集包含来自国际劳工组织(ILO)ILOSTAT数据库的员工数据,专注于非洲地区。数据集涵盖了45个非洲国家从1994年到2025年的32,707个观察值,涉及一个核心指标:按性别、年龄和城乡区域划分的员工数量(以千计)。数据通过ILOSTAT REST API获取,并经过过滤以仅包括非洲国家。数据集提供了详细的分类维度,如性别(总计、男性、女性)、年龄组和区域类型,并包含数据质量注释,如观测状态和来源信息。数据以年度频率发布,适用于表格分类、回归和时间序列预测等任务。数据集由Electric Sheep Africa重新打包,以支持机器学习和研究使用,遵循CC-BY-4.0许可证。

This dataset contains employee data from the International Labour Organization (ILO) ILOSTAT database, focusing on Africa. It includes 32,707 observations across 45 African countries from 1994 to 2025, covering one key indicator: Employees by sex, age and rural/urban areas (in thousands). The data is sourced from the ILOSTAT REST API and filtered to African country codes. It provides disaggregation dimensions such as sex (total, male, female), age groups, and area types, along with data quality notes like observation status and source information. The data is published at annual frequency and is suitable for tasks like tabular classification, regression, and time-series forecasting. Repackaged by Electric Sheep Africa for machine learning and research use, it is released under the CC-BY-4.0 license.
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