遇见数据集

electricsheepasia/asia-ilo-emp-nifl-sex-ocu-geo-nb-informal-employment-by-sex-occupation-and-rural-ur

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Hugging Face2026-05-25 更新2026-05-31 收录
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该数据集名为按性别、职业和城乡地区划分的非正规就业人数(千计)| 亚洲 (ILOSTAT),包含了23,505个观测数据,覆盖23个亚洲国家,时间跨度为2000年至2025年。数据集核心指标为EMP_NIFL_SEX_OCU_GEO_NB,专门统计按性别、职业和城乡地区划分的非正规就业人数(以千为单位)。数据源自国际劳工组织(ILO)的官方统计数据库ILOSTAT,由Electric Sheep Asia进行重新打包和标准化处理,以适用于机器学习任务。数据集为表格型数据,包含国家代码、年份、观测值、数据来源、分类维度(如性别、职业技能水平、地区类型)以及数据质量标志(如是否可靠、是否有方法修订断点)等详细列。它适用于表格分类、回归和时间序列预测等任务,旨在为研究人员和开发者提供亚洲地区劳动力市场,特别是非正规经济部门的标准化、可随时使用的数据。

This dataset, titled Informal employment by sex, occupation and rural / urban areas (thousands) | Asia (ILOSTAT), contains 23,505 observations across 23 Asian countries, spanning the years 2000 to 2025. It focuses on a single key indicator: EMP_NIFL_SEX_OCU_GEO_NB, which measures informal employment (in thousands) disaggregated by sex, occupation, and rural/urban areas. The data is sourced from the International Labour Organization (ILO)s ILOSTAT database, repackaged and normalized by Electric Sheep Asia for machine learning readiness. The dataset is in tabular format, featuring columns such as country codes, year, observed values, data sources, disaggregation dimensions (e.g., sex, occupation skill level, area type), and data quality flags (e.g., reliability status, methodological break notes). It is suitable for tabular classification, regression, and time-series forecasting tasks, providing a standardized, ready-to-use data layer for research and development on labor markets and the informal economy in Asia.

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