遇见数据集

electricsheepasia/asia-ilo-emp-pifl-sex-edu-nb-employment-outside-the-formal-sector-by-sex-and-ed

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Hugging Face2026-05-26 更新2026-05-31 收录
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该数据集包含亚洲27个国家在2000年至2025年期间的非正规经济就业数据,重点关注按性别和教育程度划分的就业情况(以千人为单位)。数据来源于国际劳工组织(ILO)的ILOSTAT数据库,通过REST API获取并过滤为亚洲国家。数据集包含7,216个观测值,涵盖一个核心指标:EMP_PIFL_SEX_EDU_NB,即按性别和教育程度划分的非正规部门就业人数(千)。数据模式包括国家代码、年份、性别分类、教育分类、观测值及其状态等列,并提供了数据质量说明,如年度频率、最佳来源选择等。该数据集由Electric Sheep Asia重新打包,旨在为亚洲提供机器学习就绪的数据层。

This dataset contains informal economy employment data for 27 Asian countries from 2000 to 2025, focusing on employment outside the formal sector disaggregated by sex and education (in thousands). The data is sourced from the International Labour Organizations (ILO) ILOSTAT database, retrieved via REST API and filtered to Asian countries. It includes 7,216 observations covering one core indicator: EMP_PIFL_SEX_EDU_NB, which represents employment outside the formal sector by sex and education (thousands). The schema comprises columns such as country code, year, sex classification, education classification, observed value, and status flags, with data quality notes including annual frequency and best-source selection. The dataset is repackaged by Electric Sheep Asia as part of a unified, ML-ready data layer for Asia.

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