首页|五普以来中国及其分地区死亡漏报模式变迁

五普以来中国及其分地区死亡漏报模式变迁

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我国历次人口普查的死亡数据质量备受关注,尤其是不同地区的死亡漏报问题,长期以来对公共卫生政策、社会老龄化应对策略以及经济规划存在深远影响.然而,现有研究对分地区、分年龄段死亡漏报的纵向分析仍然较少,特别是在五普至七普期间中国社会的快速转型背景下,死亡漏报模式是否发生变化尚需深入探讨.文章基于对数二项模型和各级政府公布的死亡相关数据,修订五普至七普间各省、自治区及直辖市的死亡数据,系统分析死亡漏报的变动模式及其背后的潜在影响机制.研究发现全国婴儿死亡漏报率自五普以来呈显著上升趋势,从7.04%升至六普的70.99%以及七普的75.67%.但婴儿死亡漏报数量在七普时已显著减少,每十万人漏报从六普的931人降至七普的474人,婴儿死亡数据质量已有所改善.相比之下,成年段与老年段的死亡漏报问题持续恶化,成年段死亡漏报率从五普的5.28%升至七普的26.18%,漏报数量从每十万人674人增加至2 230人;低龄老年段(60~79岁)死亡漏报率从五普的6.21%增至七普的22.64%,漏报数量从每十万人348人增加至920人;高龄老年段(80~99岁)漏报率从1.09%升至4.84%,漏报数量从每十万人108人增加至475人.分地区观察显示各地漏报的严重程度和年龄段侧重存在显著差异.婴幼儿死亡漏报率在华北和东北地区较高;成年段死亡漏报在华北、华东和西北地区尤为严重;低龄老年段漏报以西南、华南地区最高,而高龄老年段漏报则以华南和东北地区最为显著.进一步分析显示不同年龄段的漏报机制存在显著差异.婴幼儿死亡漏报率与其死亡水平之间存在显著的"U"型关系,即死亡率较低时漏报率反而升高,体现出低死亡水平下的统计敏感性的增强;成年段漏报与人口流动密切相关,流动人口参与度对漏报率有负向影响,表明外出人口死亡后返回原籍登记减少了漏报,流动人口能见度则对漏报率有正向影响,反映了流入地因流动人口返乡报告导致的漏报增加;老年段死亡漏报则更多受经济发展水平的影响,但与婴幼儿、成年段有较大不同,其漏报可能与社会经济条件、文化观念和社会支持系统间存在复杂的耦合关系.文章揭示了中国及其分地区死亡漏报模式变迁的基本图景,强调在评估死亡漏报时应结合中国社会的快速转型背景,而非仅依赖静态数理模型.未来研究需特别关注成年段和老年段死亡漏报问题,探索更具针对性的评估和干预策略.
Variations in the Patterns of Mortality Underreporting in China and Its Subregions since the Fifth Census
The quality of mortality data in China's national censuses has garnered significant attention,particularly concerning regional disparities in death underreporting,which carry profound implications for public health policies,strategies to address population aging,and economic planning.Despite its impor-tance,longitudinal studies on regional and age-specific underreporting remain scarce,particularly regard-ing shifts in patterns amid the rapid societal transformations between China's Fifth and Seventh Censuses.By utilizing the Log-Quad Model and government-published mortality data from various sources,this study revises census-reported mortality figures across provinces,municipalities,and autonomous regions,provid-ing a systematic analysis of the patterns and underlying mechanisms of mortality underreporting in China.The findings reveal a significant upward trend in the national infant mortality underreporting rate,which rose from 7.04%in the Fifth Census to 70.99%in the Sixth and 75.67%in the Seventh.However,despite this increase,the absolute number of underreported infant deaths significantly declined during the Seventh Census,decreasing from 931 per 100,000 in the Sixth Census to 474 per 100,000,highlighting notable improvements in the quality of infant mortality data.In contrast,underreporting issues for adults and the elderly have worsened over time.The adult mortality underreporting rate increased from 5.28%in the Fifth Census to 26.18%in the Seventh Census,with underreported deaths rising from 674 to 2,230 per 100,000.Similarly,the underreporting rate for the younger elderly group(aged 60-79)rose from 6.21%to 22.64%,with corresponding underreported deaths increasing from 348 to 920 per 100,000.For the older elderly group(aged 80-99),the underreporting rate climbed from 1.09%to 4.84%,with underreported deaths rising from 108 to 475 per 100,000.Regional analysis highlights significant disparities in the severity and age-group focus of underreporting.Infant mortality underreporting was notably higher in northern and northeastern China.In contrast,adult mortality underreporting reached its peak in northern,eastern,and northwestern regions.Younger elderly underreporting was most prevalent in southwestern and southern China,whereas older elderly underreporting was particularly pronounced in southern and northeastern regions.Further analysis uncovers distinct mechanisms driving underreporting across age groups.Infant mortality underreporting exhibited a U-shaped relationship with mortality levels,where lower mortality levels correlated with higher underreporting rates,reflecting heightened statistical sensitivity at low mortal-ity levels.Adult underreporting was closely tied to population mobility:the migration participation rate had a negative effect on underreporting,indicating that deaths among outmigrants were registered at their place of origin,reducing underreporting.Conversely,the visibility of the floating population had a positive effect,reflecting increases in underreported deaths at destinations due to delayed or missing registrations caused by return reporting.Elderly underreporting,on the other hand,was more influenced by economic develop-ment levels,demonstrating distinct dynamics compared to infants and adults.This underreporting was likely driven by a complex interplay of socioeconomic conditions,cultural norms,and social support systems.This study provides a comprehensive overview of the evolution of mortality underreporting patterns across China and its regions.It emphasizes the need to evaluate underreporting within the context of rapid societal trans-formations rather than relying solely on static mathematical models.Future research should prioritize addressing the underreporting of adult and elderly deaths while developing more targeted evaluation and intervention strategies.

Census DataDeath UnderreportingDeath Data QualityDeath LevelModel Life Table

李婷、闫誉腾、支雅婷

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中国人民大学 人口与发展研究中心

中国人民大学 人口与健康学院,北京 100872

人口普查 死亡漏报 数据质量 死亡水平 模型生命表

2025

人口学刊
吉林大学

人口学刊

北大核心
影响因子:2.307
ISSN:1004-129X
年,卷(期):2025.47(1)