The main objective of the study was to identify some of the factors that influencernhousehold food insecurity in Tehuludere Woreda, South Wello Zone. A stratified randomrnsampling method was employed to select the final sampling units. The study period wasrnfrom November 2005 to November 2006. A household food balance food model wasrnadopted and the recommended daily calorie requirement was used to determine thernhousehold food security status. Household food insecurity causation was then examinedrnusing logistic regression model.rnThe descriptive analysis of the study revealed that only 30.8% of the sample householdsrnwere food secured. The food insecure households (69.2%) felt short of the recommendedrncalorie requirement by 37% while food secure households exceeded the recommendedrncalorie requirement by 44%. Using the forward step wise (likelihood ratio) method, sevenrnout of ten predictor variables were selected as major determinants of household foodrninsecurity. These predictor variables had significant joint and separate influence inrnexplaining the variation in the outcome variable. Model diagnostic tests of thernmultivariate logistic regression model show the adequacy of the fitted model. The studyrnrevealed that non-participation in off-farm activities, having large family size (largerrnthan the sample mean), low annual production or yield (less than the sample meanrnannual yield), small farm size (smaller than the sample mean farm size), dependencyrnattitude on food aid, poor wealth status (less than the sample mean Tropical LivestockrnUnit) and insecure land tenure perception as positive and significant factors thatrncontributed to high food insecurity.rnAnalysis of the marginal effects of significant discrete predictor variables showed that,rnholding other variables constant, a shift to participation in off-farm activities decreasesrnthe probability of household food insecurity by 66%. Holding other variables constant, arnshift to smaller family size (smaller than the sample mean family size) decreases thernprobability of food insecurity by 63%. A shift to high yield (larger than the sample mean)rnand large farm size (larger than the mean farm land size) decreases the probability ofrn7rnhousehold food insecurity by 39% and 42%, respectively. Holding other variablesrnconstant, a shift from dependency attitude to self-reliance decreases the probability ofrnfood insecurity by 25%. A shift to good wealth status (larger than the sample mean TLU)rnand an improvement in land tenure security decreases the probability of household foodrninsecurity by 38% and 31%, respectively. A simulation study conducted using foodrninsecure households as a reference group indicated that improvement in seven predictorrnvariables have the potential to increase the number of food secured households inrnTehuludere Woreda.rnThe Cronbachâ€™s alpha value of 0.628 indicated that the data has a good internalrnconsistency reliability