Assessments of provincial mortality in China's 2010 population census based on the Developing Countries Mortality Database model life table.

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Authors: Cheng Li and Hong Mi
Date: June 2021
From: Journal of Population Research(Vol. 38, Issue 2)
Publisher: Springer
Document Type: Report; Brief article
Length: 256 words

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Keywords: Provincial mortality; Mortality underestimate; Model life table; Population Census; China Abstract The provincial mortality data of China's 2010 population census sustains the study of regional mortality disparities, but the data suffer from the disadvantage of underestimation. Due to the deficiency of relevant information, little research on the quality of province-specific mortality data has been published with respect to the 2010 census. We estimated provincial underestimation of infant and old-age mortality, analysed regional disparities using the Developing Countries Mortality Database model life table and re-calculated sex-specific life expectancy at birth and at age 60 for the 2010 census. Results show that in most provinces the infant mortality rate is underestimated by at least 70% and that the related data for the eastern and southwestern provinces show better quality than that of other areas. Old-age mortality underestimate rates vary among provinces: the eastern, south-central and northern provinces present less severe underestimations than the southwest, northwest and northeast provinces. After adjustments, the province gap in e.sub.0 ranged from 0 to 14.8 years for boys and 0 to 15.9 years for girls, that in e.sub.60 ranged from 0 to 8.8 years for men and 0 to 9.9 years for women. Sex differences in life expectancy increased compared to the reported values of the 2010 census. Author Affiliation: (1) School of Public Affairs, Zijin'gang Campus, Zhejiang University, Room 409-2, West 1 teaching building, No. 866 Yuhangtang Road, 310058, Xihu District, Hangzhou, Zhejiang, People's Republic of China (b) Article History: Registration Date: 03/18/2021 Accepted Date: 03/18/2021 Online Date: 04/05/2021 Byline:

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Gale Document Number: GALE|A662216733