This paper attempts to examine the economic determinants of life expectancy and explain the economic basis for the disparity of life expectancy between the regions of the world. This was done by using a series of models that accounted for some basic economic and socio-economic factors unique to each country while accounting for pooled interaction and country classification. Most variables turned out to be significant where income, income inequality, urbanization and public health care expenditure all help to estimate life expectancy. By creating dummy variables for regional analysis, we can see where a person is born ultimately determines a lot about how long they are expected to live, for instances someone born in America is expected to live about 18 years longer than someone born in Africa. 1.0 Introduction Life expectancy, as indicator of development, varies widely throughout the many regions of the world. It is reflective of a country’s net welfare position and circumstances that exist in that country. Life expectancy is associated with socio-economic and economic factors like income, the level of health care, education, sanitation, and other factors such as the availability of clean water, disease and crime. As Mahfuz Kabir (2008) puts it, life expectancy is a function of economic factors and non-economic factors. Based on this assumption, a country life expectancy then becomes dependent on the quality of the combination of factors that exist within that country. The