Abstract
This paper aims to study the determinants of under-five mortality in Khartoum state the capital state of Sudan. Primary data on variables of relevance to under-five mortality was collected from a random sample of households in Khartoum state in 2018, and analyzed by using binary logistic regression technique where dying or not dying before reaching age 5 constituted the dependent variable. The resulting model revealed that the strongest predictors of under-five mortality are age of mother , age at the first childbearing, numbers of medical checkup, duration of pregnancy less than 32 weeks, average of breastfeeding, and mother suffers from diabetes. Under-five mortality in Khartoum state can thus be reduced quite considerably by positively addressing these determinants via orchestrated policy .
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