Maternal mortality is considered one of the major challenges of population development worldwide. Even though, it has received extensive attention in the public health literature by both academicians and health professionals over the past two and half decades. Many studies have focused on identifying why the death of a mother during pregnancy and childbirth is still high in SSA (Sub-Saharan Africa) irrespective of the interventions that have been implemented by international bodies and governments in the region. The purpose of this study is to examine maternal mortality in SSA by embarking on empirical studies to investigate the effect of its determinants, its effect on social development, and its relationship with human development by using a dataset on 35 Sub-Saharan African countries. spanning between 1990 and 2015.The first empirical study examines the determinants and their effect on maternal mortality by employing PLS-SEM (partial least squares structural equation modeling) techniques, a multidimensional approach, to integrate, socio-economic and socio-cultural determinants, and assess the causal relationships among them and their effects on maternal mortality in Sub-Saharan Africa. The results of the authors' analysis showed that the socio-cultural determinants have the greatest effect on the medical/health determinants. In the case of maternal mortality, medical/health determinants have the greatest impact, followed by socio-economic determinants. The socio-cultural determinants have both a direct and indirect effect on maternal mortality. The findings reveal that integrating the medical/health, socio-economic and social-cultural determinants in interventional policies meant to address the issue of maternal mortality, will reduce the high rate of maternal mortality in the Sub-Saharan region.The second empirical study also investigated the effect of social development on maternal mortality in Sub-Saharan Africa by using Sen's development theory, as a theoretical underpinning of the study, and the Partial Least Square Structural Equation Modeling (PLS-SEM) as an estimation technique. The result of the empirical analysis showed that social development has both direct and indirect effects on the model. The direct effect is greater than the indirect effect. The direct effect is the effect of social development on reproductive capability, and the indirect effect is the effect of social development on maternal mortality through reproductive capability and freedom. The result also reveals a direct and positive effect of economic and political development on social development. ix Social development has the greatest effect on maternal mortality, compared to all the other effects in the model. The result of the path analysis and the final model support all the hypotheses for the study. The final empirical study examined the relationship between maternal mortality and human development measured by the HDI index. The study primarily used a panel dataset from 1990 to 2015 on 35 countries in SSA. The relationship is in...