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.
Highlights
Because the population change of a country has a great impact on the society, economy and policy, the number of population has always been the focus of researchers from all walks of life
For the age structure of the population, many scholars at home and abroad have used different methods to analyze and study: Chen Baoping used the grey clustering theory to establish the evaluation model of the population age structure, so as to divide the different regions of China into three grades according to the excellent, the medium and the poor; Bai Xuemei et al Evaluated the age structure of the population by the improved fuzzy comprehensive evaluation model, which can describe the degree and ranking of the population, and once again Zhang et al Explored the impact of population age structure on rural environment in China, taking biomass cogeneration capacity as an example
Guo ran et al Made a deep explanation on the theory and reality of the world population development trend and population transformation, and found that the world population development is still unbalanced, the total population is increasing but the growth rate is decreasing; Hou Yankun combined with data analysis method, based on Leslie model, constructed the world population growth prediction model, which has more mathematical significance; Ren Qiang analyzed it from the perspective of life expectancy evolution The development track of world population
Summary
Because the population change of a country has a great impact on the society, economy and policy, the number of population has always been the focus of researchers from all walks of life. This section will classify the population data of nearly 230 countries and regions in the world, and first draw the population distribution map of each continent and country in 2012 according to the data. Due to the large amount of data, only the radar map of population distribution of African countries in 2012 (see Figure 1) and the fan chart of population distribution of Oceania countries in 2012 are given here It can be seen intuitively from the figure that the population distribution among the countries of each continent is not uniform, even polarized; from the total population data of 2012, Asia still has the largest population, reaching 3904442155, and Oceania is the least, with only 37295830. The least square method is used to estimate the regression model, that is, to minimize the objective function
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