The study aimed at the determinants of economic growth in South Sudan with a case study of Juba and it was guided by the following objectives; To determine the relationship between imports and gross domestic product, to determine the relationship between population growth rate and gross domestic product and to determine the relationship between FDI and gross domestic product. Prior studies employed diverse quantitative and qualitative approaches to comprehensively examine this complex issue. Nationwide analyses often leveraged mixed methods. For instance, the study conducted household surveys in seven states alongside interviews and focus group discussions to profile livelihood systems and gauge infrastructure access issues statistically. Specifically, in Juba, Brehm (2011) adopted an ethnographic qualitative case study approach involving extensive participant observation, interviews and archival document review to gain an in-depth contextual understanding of the city's urbanization challenges and opportunities. From the findings, the intercept or constant term was 1.905. This represented the estimated value of GDP when all predictors (FDI, imports, and population growth rate) are zero. In this context, interpreting the constant might have limited practical significance. The coefficient for FDI was 0.722. This suggests that, holding other variables constant, a one-unit increase in FDI was associated with a 0.722-unit increased in GDP. The coefficient for imports was 0.093. This implied that, holding other variables constant, a one-unit increase in imports was associated with a 0.093-unit increase in GDP. The coefficient for the population growth rate was 0.155. This indicated that, holding other variables constant, a one-unit increase in the population growth rate was associated with a 0.155-unit increase in GDP. The standard errors for each coefficient provide an estimate of the variability of the coefficients. For FDI, imports, and the population growth rate, the standard errors were associated with their respective coefficients. It is therefore strongly recommended that the national and Juba city governments strategically target evidence-based priority constraints through collaborative initiatives informed by local consultations. Key recommendations include establishing special economic zones and industrial parks with reliable energy and transport linkages to support job creation and diversification. Investing in technical and vocational education aligned to market needs can help address skills barriers.