遇见数据集

electricsheepafrica/africa-ilo-emp-nifl-sex-ins-mts-rt-informal-employment-rate-by-sex-public-private-sec

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Hugging Face2026-05-25 更新2026-05-31 收录
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该数据集包含非洲45个国家2000年至2025年期间按性别、公共/私营部门和婚姻状况划分的非正规就业率(%)统计数据,共计14,543个观测值。数据来源于国际劳工组织(ILO)的ILOSTAT数据库,通过其REST API获取并经过筛选和标准化处理。数据集包含一个核心指标(EMP_NIFL_SEX_INS_MTS_RT),并提供了国家代码、国家名称、数据来源、指标代码、指标名称、性别分类(总计、男性、女性)、机构部门分类、婚姻状况分类、观测年份、观测值、观测状态标志以及相关注释等多维字段。数据以年度频率发布,适用于表格分类、回归分析和时间序列预测等机器学习任务。

This dataset contains 14,543 observations of informal employment rate (%) statistics disaggregated by sex, public/private sector, and marital status across 45 African countries from 2000 to 2025. The data is sourced from the International Labour Organization (ILO)s ILOSTAT database, retrieved via its REST API and filtered for African ISO3 country codes. It features one core indicator (EMP_NIFL_SEX_INS_MTS_RT) and includes multidimensional fields such as country code, country name, data source, indicator code, indicator name, sex classification (total, male, female), institutional sector classification, marital status classification, observation year, observed value, observation status flags, and related notes. The data is published at annual frequency and is suitable for machine learning tasks like tabular classification, regression, and time-series forecasting.

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