We developed a model that can classify households based on
their demographic profile and household assets. A methodology
is then provided in the use of this model in identifying householdbenefeciaries
for some targetted interventions. Using the 2009 Family
Income and Expenditure Survey (FIES), five income clusters were
identified. In a generalized logistic regression model, geolocation
of households, urbanity, employment status and education of
household head, presence of some assets, and nature of housing
units can significantly identify income class of a household.