Diabetes mellitus is one of the fast-growing global problems in the modern era. Khulna Division is not out of that. So, in this paper, it has been tried to recognize the multiple difficulties of hyperglycemia in Khulna, one of the divisions of Bangladesh. Branching process is obtained to determine the probability of ultimate extinction of hyperglycemia in generations. Bivariate and hierarchical multiple logistic regression models are used to examine the association of the determinants and hyperglycemia. Poisson regression is used to look at the number of multiple complications for forthcoming death. The place of resident, marital status, diabetes symptoms: nausea, diabetes symptoms: frequent previous generation and treatment gap are identified most significantly associate with the occurrence of hyperglycemia. Also, nausea person has further chance to attain a hyperglycemia as compared to non-nausea peoples in addition to male patients, if all other factors are constant. Also, the probability of extinction expresses zero for the people with diabetes and the tree diagram exhibits swiftness in the generation to generation. Overall, mortality risk factors among the people with diabetes for numerous worries are estimated by Poisson regression and try to avoid widespread of hyperglycemia in Khulna by diminishing the community health problem of diabetes.