Spatial analysis of child mortality and welfare differentials in South Africa: evidences from the 2011 Census

  • Samuel Abera Zewdie Ethiopian Development Research Institute, Addis Ababa
  • Visseho Adjiwajnou University of Cape Town
Keywords: Spatial demography, family health, Bayesian smoothing, poverty, inequality.


Background: Welfare differential is a common phenomenon among South African population which can be manifested in terms of various economic and health outcomes. Using child mortality (CM) as one of a key measure of the country’s health system, the study attempted to show its spatial distribution and the association with economic disparities in the country.Methods: The study primarily aimed to derive estimates of CM rates for the municipalities and provinces of South Africa and assessed the results in relation to some welfare measures such as poverty and inequality. The estimation of CM rates was achieved through the use of direct synthetic cohort methods with Bayesian spatial smoothing. The smoothing process helped to generate accurate municipal level estimates of CM. The model utilized information from neighboring municipalities by controlling the effects of women’s education and HIV. Results: It was found that there were clear spatial differentials of CM in the country, where at province level under-five mortality (U5M) rate (deaths per 1000 live births) ranges from 26 in Western Cape to 71 in KwaZulu-Natal. At municipal level, it ranges from 24 in City of Cape Town to 109 in uPhongolo. It was also shown that CM was higher in poorer and more unequal areas, although there were cases which had inverse relationship. For instance, several municipalities in Limpopo province scored relatively lower child mortality rates though the level of poverty is very highConclusions: The study revealed significant spatial differentials of CM in the country, which were also associated with the level of poverty and income inequality. The findings may help local and national government to implement policies more effectively and make more focused decisions for a better health outcome.

Author Biographies

Samuel Abera Zewdie, Ethiopian Development Research Institute, Addis Ababa
Environment and Climate Research Centre
Visseho Adjiwajnou, University of Cape Town
Centre for Actuarial Research