遇见数据集

electricsheepasia/asia-ilo-emp-nifl-sex-geo-mts-rt-informal-employment-rate-by-sex-rural-urban-areas

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Hugging Face2026-05-25 更新2026-05-31 收录
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该数据集包含亚洲23个国家的非正规就业率数据,按性别、农村/城市地区和婚姻状况进行细分,时间跨度为2000年至2025年,共有11,898个观测值。数据来源于国际劳工组织(ILO)的ILOSTAT数据库,通过REST API提取并过滤亚洲国家代码。数据集包含一个核心指标:EMP_NIFL_SEX_GEO_MTS_RT,即按性别、农村/城市地区和婚姻状况划分的非正规就业率(百分比)。数据列包括国家代码、国家名称、数据来源、指标代码、指标名称、性别分类(总计、男性、女性等)、分类变量(如地区类型、婚姻状况)、观测年份、观测值、观测状态标志以及相关注释。数据按性别等维度进行细分,并包含数据质量说明,例如数据为年度频率,使用ILO选择的最佳来源。数据集旨在支持表格分类、回归和时间序列预测等任务,适用于劳动经济学研究和政策分析。

This dataset contains informal employment rate data for 23 Asian countries, disaggregated by sex, rural/urban areas, and marital status, spanning the years 2000 to 2025, with 11,898 observations. The data is sourced from the International Labour Organization (ILO) ILOSTAT database, extracted via REST API and filtered for Asian country codes. It includes one core indicator: EMP_NIFL_SEX_GEO_MTS_RT, which represents Informal employment rate by sex, rural/urban areas and marital status (%). The dataset columns include country codes, country names, data sources, indicator codes, indicator names, sex disaggregation (total, male, female, etc.), classification variables (e.g., area type, marital status), observation year, observed value, observation status flags, and related notes. Data is disaggregated by dimensions such as sex, and includes data quality caveats, such as annual frequency and the use of ILO-selected best sources. The dataset is designed for tasks like tabular classification, regression, and time-series forecasting, suitable for labor economics research and policy analysis.

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