Assessing the Predictors of Lived Poverty in Kenya: A Secondary Analysis of the Afrobarometer Survey 2016

Abstract

Poverty remains pervasive in Kenya despite efforts to reduce it. This may be attributed to poor understanding of its predictors. Using Afrobarometer Round 7 data and employing multivariate logistic regression, the study found that age, religion and political affiliation were risk factors associated with poverty while education was a protective factor. The study recommends that investing more in all levels of education is key to reducing poverty in Kenya. Further, social protection policies and programmes for the elderly, as well as initiatives to enhance savings for those in the informal economy, are important for poverty reduction.