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The aim of this study was to identify determinant factors and status of household food insecurity in Konso district. The study employed primary data collected from 203 households selected by using simple random sampling method. Binary logistic models and household calorie acquisition methods were employed to identify factors and categorize households into food secured and insecure. The survey result shows that in Konso district, about 80% households were found to be food insecure and majority households were mildly food insecure. The result of the binary logistic analysis showed that, of the twelve explanatory variables expected to determine household’s food insecurity in Konso district, only eight variables significantly determine household’s food insecurity situations both positively and negatively at 1%, 5% and 10% significance level. In the study area, farmland size, education level, off-farm income, livestock number and agro-ecology determine negatively and significantly household food insecurity. On the other hand, family size, dependency ratio and distance from market determine positively and significantly household food insecurity. To solve the food insecurity problem in a rural area like Konso, focus should be given to increase education level, off-farm income, livestock and equal focus is also important to reduce family size through a core rural development strategy.

Determinants of Rural Household Food Insecurity Status and Coping Strategies in Case of Konso Woreda, Segen Area People’s Zone of Southern Ethiopia