Statistical Study on Mortality in China

DOI

10.2991/978-94-6463-016-9_2How to use a DOI?

Keywords

Mortality; China; Region Differentials; Urban-Rural Differentials; Age Differentials

Abstract

With the recently released data of China’s Population Statistics Yearbook 2020, this paper conducts a statistical analysis of the general situation of Mortality in China. By using RStudio to clean up the data formats and dive deeper into all data points regarding mortality rates, the paper examines the factors affecting China’s Mortality Rates including provinces, geographic regions, gender, age groups, and urban and rural populations, and then compares to data in the past (since 2001) to predict general trends and identify key improvement areas. A cross-country data comparison concludes that China’s Mortality rate has decreased steadily and remains low compared to global average. With a multi-factor linear analysis taking all three factors into consideration, gender, age, urban vs rural and comparing across data from previous years, the author confirms a general mortality trend of the population as the age increases. The paper also explains the changing landscapes and inconsistencies in recent years, such as Central China’s higher mortality rate compared to Eastern and Western China, and Shandong and Chongqing with the highest mortality rate in the country. These will require further studies for answers.

Copyright

© 2023 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Yiyou Fan
PY  - 2022
DA  - 2022/12/07
TI  - Statistical Study on Mortality in China
BT  - Proceedings of the 2022 2nd International Conference on Public Management and Intelligent Society (PMIS 2022)
PB  - Atlantis Press
SP  - 4
EP  - 13
SN  - 2589-4900
UR  - https://doi.org/10.2991/978-94-6463-016-9_2
DO  - 10.2991/978-94-6463-016-9_2
ID  - Fan2022
ER  -