Currently diversification of livelihood activities has got special attention in terms of its contribution tornhousehold's food security. However, in our country little attention has been given to livelihoodrndiversification and the numerous factors that determine the abilities of rural household's choice ofrndifferent livelihood activities. Thus, this particular research was carried out with the aim of generatingrnlocation specific data regarding the livelihood diversification and its role in attaining household's foodrnsecurity. A livelihood frame work has been adopted to see how the relationsh ip between differentrncharacteristics of households and their livelihood resources affect the household's choice .of diversif'yingrnlivelihood activities which would in turn have a significant impact on household food security. A multirnstage sampling procedure was employed to select 120 households of which 25% of them are femalernheaded households. Household survey, case study, key informant interview, focus group discussion andrnobservation were the principal method used to generate data. Descriptive stat istics, income portfoliornanalysis, diversity index, multi-variant regression model and binary logit model was used to analyzernquantitative data.rnThe income portfolio analysis revealed that agriculture still plays a pivotal role by contributing 61.7% ofrnthe total income of studied households and followed by nonfarm income which accounts for 30% of therntotal income of sampled households. Similarly the diversity index reveals that there is a difference inrnparticipation of nonfarm activity both among the sex and wealth status of households. Male headedrnhouseholds were highly diversif'ying their livelihood activities than female headed households. Likewisernthe better off households were more diversif'y their livelihood activities than poor and mediumrnhouseholds.rnThe binary logit model result for determinants of livelihood diversification reveals that, from the 9rnexplanatory variables used in the model 6 of them were found to be significant to affect the household'srnengagement in diverse livelihood activities. Similarly multi-variant regression model was used to test thernmain determinants of household food security and the results of the model shows that, out of the 12rnexplanatory variables used in the model 4 of them are found to be the main determinants of householdrnfood security in the study area. In tandem to this, the relationship between the household's participation inrndiverse livelihood activities and their food security situation were analyzed through different statisticalrntechniques and it was found that there is strong positive relationship between livelihood diversificationrnand household food security. Those households who are diversif'ying their livelihood activities were betterrnin terms of per capita calorie than those who are entirely depend on agriculture