Difference in the lifeexpectancy between countries: Mortality, health, lifestyle habits, national conditions, and related socioeconomic status (SES)

Abstract

Our world has made remarkable progress since the year 2000 in increasing life expectancy. But this progress has been fragile and uneven across countries. The objective of the study was to estimate the factors that affect inequality in life expectancy, particularly between developed and developing countries. There is some evidence that the inequality gap has increased in different countries. It was observed that some variables have a significant correlation with life expectancy, while some of them take on obvious region characteristic. Proposed explanations for correlated differentials in life expectancy will be explored. The paper discusses logistic regression (LR) and the t-test as methods that can be used to determine what the independent variable would be, obtain the significant factors related to life expectancy and investigate the coefficient for all countries in the data set. The scatter diagrams and tables were constructed in the period 2000-2015 by linking life expectancy on some variables that cross 133 countries. Mortality, health, lifestyle habits, national conditions, and related socioeconomic status (SES) can all influence the distribution of life expectancy around the world. The result shows that health outcomes could benefit from a number of government measures, such as reducing adult mortality, productive use of resources, or promoting education. While Percentage spending, Infant deaths, and Alcohol are associated with life expectancy in developing countries more than in developed countries. These findings are intended to contribute to the growing body of literature that is needed to inform policies or strategies for a fairer and healthier world for all.