Life expectancy is typical age at death. In the statistical sense is the number of years of life remaining at a given age. In many occasions, life expectation varied significantly to class and gender. This study centred on life expectation of university academic retirees in two premier universities in Western Nigeria . Simple descriptive statistics of frequency counts and percentage were used to explain the combined data on personal characteristics of the respondents from the two institutions. Life table method was identified as the most suitable approach to analyze the pattern of mortality for this data. Life table based Kaplan-Meier analysis provides estimates of survival experienced of a given number of years after retirement. This technique allows subjects to enter, i.e., retire at age 60 or leave the study, i.e., die at different points in time and it utilizes all the data on partial experience to the risk of dying. It is non-parametric and requires no assumptions about the distribution of the survival function. Mantel-Cox or log-rank statistical test was used to confirm the significant of the set up hypotheses. In this study, we test the null hypotheses using SPSS long-rank test to determine whether the survival distributions are statistically significantly different, we use p‑value for this test. If  we fail to accept  hypotheses otherwise we fail to reject The academic retirees’ median residual life time of both universities respondents is 18.22 years. We fail to accept hypothesis, there is a significant difference between the survival experience of university academic retirees and durations of service years with proof of log-rank (Mantel-Cox) test with  We fail to reject  there is no significant difference between survival experience of university academic retirees’ gender and duration of service as it was supported with long-rank test  The survival probability curve for the gender by post retirement years of university academic retirees indicate that there is no significant difference in the survival probability and gender, we fail to reject  with log-rank (Mantel-Cox) test with probability of  We fail to accept the  which says condition of retirement has significant effect on survival experience of university academic retirees as confirmed by log-rank test with  Meanwhile, survival experience after retirement and age on retirement are significantly difference is fail to be accepted with  estimated by log-rank test.

life expectancy, retirees, longevity, parametric, academia.