遇见数据集

electricsheepafrica/africa-ilo-emp-nifl-sex-ins-geo-nb-informal-employment-by-sex-public-private-sector-a

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Hugging Face2026-05-25 更新2026-05-31 收录
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该数据集包含来自国际劳工组织(ILO)ILOSTAT数据库的4,358条观测数据,涵盖41个非洲国家从1999年至2025年的非正规就业情况。核心指标为EMP_NIFL_SEX_INS_GEO_NB,即按性别(总计、男性、女性)、公共/私营部门以及城乡地区划分的非正规就业人数(以千人为单位)。数据通过ILOSTAT REST API获取,并经过筛选仅包含非洲国家,采用ILO的ICLS定义进行标准化处理。数据集包含详细的列信息,如国家代码、国家名称、数据源、指标、性别分类、分类变量、年份、观测值及数据质量标志,适用于表格分类、回归和时间序列预测等任务。

This dataset contains 4,358 observational records sourced from the ILOSTAT database of the International Labour Organization (ILO), covering informal employment statistics for 41 African countries spanning the period from 1999 to 2025. The core indicator is EMP_NIFL_SEX_INS_GEO_NB, which quantifies the number of workers in informal employment (in thousands) categorized by sex (total, male, female), public/private sector, and urban and rural areas. The data was retrieved through the ILOSTAT REST API, filtered to include only records from African countries, and standardized using the ILO's ICLS definition. The dataset includes comprehensive column attributes including country code, country name, data source, indicator, sex classification, categorical variables, year, observed values, and data quality flags, making it suitable for tasks such as tabular classification, regression analysis, and time series forecasting.

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electricsheepafrica
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