Background: Under-five mortality remains serious public health importance and contributes to the estimates of life expectancy of any country at birth, which is a key health indicator. Aim: This study aimed to identify the prevalence and socioeconomic predictors of under-five mortality in Ghana.MethodThe study design was a descriptive cross-sectional survey relying on data from Ghana Multiple Indicator Cluster Survey (MICS) 2017/18. The analysis was done using SPSS version 20 (IBM Corp., 2011, and NY). Results: In this study the prevalence of under-five mortality recorded was 8.4% and socioeconomic predictor factors were: male sex of child (AOR = 1.2, 95% C.I. = 1.11 – 1.35), maternal age, < 20 years (AOR = 1.9, 95% C.I. = 1.60 - 2.36), education level, No education (AOR = 2.4, 95% C.I. = 1.41 – 4.04), Primary (AOR = 2.1, 95% C.I. = 1.22 – 4.04), JSS/JHS/Middle (AOR = 1.7, 95% C.I. = 1.03 – 2.93), SSS/SHS (AOR = 1.8, 95% C.I. = 1.03 – 3.14), Ethnicity, Ga/ Dangme (AOR = 1.3, 95% C.I. = 1.01 – 1.58) and Grusi (AOR = 1.4, 95% C.I. = 1.05 – 1.75), region Northern/Western region (AOR = 1.3, 95% C.I. = 1.04 – 1.70), mother with functional disabilty (AOR = 1.4, 95% C.I. = 1.21 – 1.58), short birth interval (AOR = 1.71, 95% C.I. = 1.54 – 1.89) and no health insurance (AOR = 1.22, 95% C.I. = 1.10 – 1.34). Conclusion: Prevalence of under-five mortality was high and socioeconomic predictors factors identified were: maternal age, educational level, ethnicity, region, functional disability, short birth interval, and health insurance status. Funding Statement: Funding for this study was completed by authors without any external funding. Declaration of Interests: There is no conflict of interest with this submission. Ethics Approval Statement: The MICS team of UNICEF approved the protocol for the use of the Ghana Multiple Indicator Cluster Survey 2017/18 dataset for this study. Ethical approval was not necessary for this study because it involved a secondary analysis of a dataset without publicity to the identity of the participants and their households.