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Lemma Tadesse Andarge
The aim of this study was to investigate impact of climate variability on household food security in the case of Mirababbaya woreda Gamo Zone Ethiopia. Multi-staged sampling techniques were used to select the targeted area and sample household respondents. A total of 30 sampled households were selected using systematic random sampling techniques and household survey was conduct using Household Food Insecurity Access Scale (HFIAS) questioners. The study used qualitative and primary data collection methods. Various descriptive and inferential statistic techniques were applied to analyze the collected survey data. Household Food Insecurity Access Scale and multi-linear regression model were used to analyze the determinant factors which affect food security of sampled household. The result of the study revealed that four of gender/sex, education, land size and livestock size have significantly associated with household food security status. The result of HFIAS shows that 50% of households were categorized as moderately food insecure e in the study area. From the result, it is also possible to conclude that farmers are aware of changes in climatic variables, especially increasing temperature and decreasing in annual rainfall and changing the seasonal patterns. Facilitate income diversification, use of well-organized meteorological information, and small irrigation are identified recommendations.