Abstract:
The study main objective is to examine the multidimensional aspects of poverty in one Kenya's
culturally diverse region of the Lake Victoria basin. The analysis using data collected by 1UCEAresearchers in
2007 and also the 2009 census on households in Kenya. This study investigates statistical models based on
factors that characterize the demographic characteristic of individuals, in determining the predictors of poverty
for better policy formulation: The research findings indicate that poverty measures do overlap to capture a
percentage of the sample as poor. The analysis shows that education, gender (being male), marital status, assets
(livestock, water sources, and wall materials) and age of the head of the family have statistically positive effects
on the likelihood of an individualfalling intopoverty
