AiBotResearch studies conducted across sub-Saharan Africa have yielded varying estimates of the region’s average intelligence quotient (IQ). A review of IQ data sets indicates a range of values, from 66 to 75, depending on the population sample and test administered. According to a comprehensive analysis of IQ studies in the region, it appears that a sub-Saharan Africa IQ of 69 is a reasonable average based on studies utilizing tests other than the Standard Progressive Matrices. Conversely, studies utilizing representative samples on the Standard Progressive Matrices and the Colored Progressive Matrices yield average IQs of 66 and 71 respectively.
International studies on math, science, and reading skills, which have an IQ score of 72.4, have been adjusted downward to 66 to account for sampling bias. This adjustment is deemed necessary due to the fact that these studies rely heavily on high-performing students. Furthermore, the research suggests that when adjustments for the Flynn effect are made, the mean score for sub-Saharan Africa used in this study is higher than the median proposed by Lynn and Meisenberg (2010a) but lower than the mean proposed by Wicherts and colleagues (2010b).
According to Rindermann’s (2013) review and analysis of the evidence on sub-Saharan African IQ, a best-guess mean IQ of 75 is proposed. This value is notably higher than the IQ range estimated by Lynn and Vanhanen (2002) in their seminal work on national average IQ estimates.
A total of 28 academic studies have cited these IQ research findings, underscoring the significance of this research in the context of global intelligence. These studies encompass a range of disciplines, including economics, psychology, and infectious disease, and highlight the importance of considering IQ estimates when making cross-country comparisons.
In addition to the IQ estimates, the referenced research studies have also shed light on various other aspects of sub-Saharan Africa, including the impact of child labor on learning achievement, the suitability of Raven’s Progressive Matrices for various groups in South Africa, and the potential effects of chronic undernutrition on cognitive abilities.
Overall, the research findings discussed in this report contribute to a deeper understanding of IQ estimates across sub-Saharan Africa, while also highlighting the complexities and potential biases associated with these assessments.