Prediction of the likelihood of households food security in the lake victoria region of Kenya

This paper considers the modeling and prediction of households food security status using a sample of households in the lake victoria region of kenya. a priori expected food security factors and their measurements are given. a binary logistic regression model derived was fitted to thirteen priori expected factors. analysis of the marginal effects revealed that effecting the use of the seven significant determinants: farmland size,per capita aggregate production,household size,gender of household head,use of fertilizer,use of pesticide/herbicide and education of household head,increase the likelihood of a household being food secure. finally,interpretations of predicted conditional probabilities,following improvement of significant determinants,are given.