Study on the Demographic Analysis of Countries and the Construction of Population Health Index
DOI:
https://doi.org/10.54691/bcpbm.v13i.92Keywords:
SPSS; Multiple Linear Regression Analysis; Hierarchical Cluster Analysis; Factor Analysis; Principal Component Analysis; Population Health Index.Abstract
The data in this paper are from the POPULATION Data Bureau of the United States, Statistics Bureau of the European Union, CEIC global database, etc. SPSS software was used to carry out statistical analysis on the population data of about 230 countries and regions in the world from 2002 to 2012. Through the hierarchical cluster analysis, the population data of the Middle East countries are clustered, and it is found that the population distribution of the Middle East countries is relatively uniform. Multiple linear regression analysis was used to explore the determinants of the total American population, and it was found that the population aged 15-64 and the birth rate were significantly positively driven to the total American population. Finally, the population health index was constructed by factor analysis, and the supporting factors were life expectancy health factor and population quantity factor respectively.
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