Regional Differences In The Average Life Expectancy Of Yunnan Province And Its Influencing Factors

With the continuous development of the social economy,people’s material and spiritual and cultural life has become increasingly rich,and their values have gradually been “scoured” and they have turned to the pursuit of pluralistic spiritual life,especially the concern for the life expectancy of the population.In October 2010,the Yunnan Provincial People’s Government issued and issued the “Healthy Yunnan 2030 Planning Outline”,which officially portrayed the life expectancy of the population in Yunnan’s medical and health development level and the people’s livelihood,and raised the average life expectancy in Yunnan as a social economy.One of the important goals of developing and improving the overall strength of the province.From the perspective of geography,this paper combines the two-dimensional analysis of time and space with statistical analysis.Based on the screening and collation of Yunnan census data and health statistics data over the years,we start from a smaller scale and draw Yunnan.The complete life table of “three pu” to “Six Pu” and 16 states(cities),including the total population life table,male life table and female life table,shows that the average life expectancy of the province in 2010 is 74.04 years old,compared with 2000.The annual increase of 7.3 years old,and the average life expectancy of the populations of all states(cities)showed an upward trend,and the differences between the various regions were obvious,with different growth rates.Then using factor analysis and cluster analysis to empirically analyze the regional differences in population life expectancy and their influencing factors in various regions.The results show that science,education,culture,people and people’s living standards,internal population structure and natural geographical environment factors are The impact mechanism and intensity of impact are different,resulting in significant differences in the average life expectancy of the population between regions.Finally,an effective path to improvement is found for the mechanism of action of the impact factors and their differences.