Abstract:
This thesis is an educational piece which deals with methods and decision-making ways
of detecting for life expectancy in the sub-Saharan region of Ghana precisely the Accra
Metropolitan area. The data was picked from the archives of the district health directorate
of Accra Metropolitan area. A secondary data was used the variables of interest includes
age, number of deaths and population and this was done by searching for the age data of
the given period and matching it to the number of deaths. The researcher also simulated
population data from the 2010 population census. The type of sampling done was the
cluster sampling. The methodology employed consists of the abridged life table means in
calculating life expectancy. The data was then forecasted using forecasting methods
namely the Lee Carter, the Age Period Cohort model and the Card Blake and Dowd
model. The Lee Carter model was seen to be the most efficient model in predicting the
life expectancy of people in Accra Metro followed by the CBD model. With the findings
one can notice that the neonatal deaths which summed up to 184 with a population of
22,355 had a life expectancy of 71. The middle age ranging from 30 to 54 recorded a life
expectancy of 52.3 and 22.8. A diagrammatic view shows a slope from a life expectancy
of 71 to 2.5.
