遇见数据集

electricsheepasia/asia-ilo-emp-pifl-sex-eco-dsb-nb-employment-outside-the-formal-sector-by-sex-econom

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Hugging Face2026-05-26 更新2026-05-31 收录
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资源简介:

该数据集是一个关于亚洲非正规经济就业的表格数据集,由国际劳工组织(ILO)的ILOSTAT数据库提供,并通过Electric Sheep Asia重新打包发布。数据集包含7,255个观察值,覆盖17个亚洲国家(如蒙古、塞浦路斯、斯里兰卡、印度尼西亚等),时间跨度为2006年至2024年。核心指标为EMP_PIFL_SEX_ECO_DSB_NB,即按性别、经济活动和残疾状况分类的非正规部门就业人数(以千计)。数据以年度频率提供,并包含多维度分类,如性别(总计、男性、女性等)、经济活动和残疾状况。数据集采用结构化表格格式,包含国家代码、来源、指标、分类变量、时间、观测值及其状态等列,适用于表格分类、回归和时间序列预测等任务。数据经过ILO的标准化处理,确保定义一致,并标注了来源和质量标志,以支持可追溯性和分析使用。

This dataset is a tabular dataset on informal economy employment in Asia, sourced from the International Labour Organization (ILO)s ILOSTAT database and repackaged by Electric Sheep Asia. It contains 7,255 observations across 17 Asian countries (e.g., Mongolia, Cyprus, Sri Lanka, Indonesia), spanning the years 2006 to 2024. The core indicator is EMP_PIFL_SEX_ECO_DSB_NB, which represents Employment outside the formal sector by sex, economic activity and disability status (thousands). Data is provided at an annual frequency and includes multiple disaggregation dimensions such as sex (total, male, female, etc.), economic activity, and disability status. The dataset is structured in a tabular format with columns for country codes, sources, indicators, classification variables, time, observed values, and status flags, making it suitable for tasks like tabular classification, regression, and time-series forecasting. The data is harmonized by ILO using standard definitions and includes source and quality flags for traceability and analytical use.

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