Life table is an important method of assessing the health of a population and it is used to measure mortality, survivorship, and the life expectancy of a population at varying ages. An abridged life table for the male population of Bangladesh in 2011 is constructed by the Widowhood Method and thereafter, age-specific death rates (ASDRs) are estimated from the constructed life table. Moreover, some mathematical models are fitted to survival function values, adult mortality, life expectancy, and ASDRs for the male population of Bangladesh in 2011. The distribution of the female population by current marital status due to age in the 2011 census is utilized as raw materials in this study. The model validation technique, cross- validity prediction power (CVPP) is applied here to verify the exactness of the model. The life expectancy at birth for the male population has been estimated using 2011 census data which is 63.46. It is observed that life expectancy at birth is increasing with time which indicates the health situation of Bangladesh is more developed than any earlier time. It is seen that the third-degree polynomial model has been fitted to survival function values, a second-degree polynomial model for adult mortality, and a third-degree polynomial model for life expectancy for the male population of Bangladesh. It is also noted that exponential models for ASDRs from age 0 to 10-14 and age 10-14 to 85+ have been fitted and the exactness of the fitted models are well according to shrinkage coefficients as well as F-test. The proportions of variation of these models are more than 97%.