Abstract: This study was on the economic use of the local feedstuffs to formulate least cost rations for broilers using Linear Programming (LP) technique to investigate, analyze and indicate how best the available local ingredients can be combined effectively and efficiently to formulate least-cost ration for broilers. Specifically, a linear programming technique was employed to determine the most efficient way of combining these locally available ingredients. Mathematical models were constructed by taking into consideration nutrient requirements of the broilers, nutrient composition of the available ingredient and any other restriction factor of the available ingredients for the formulation. The result of this study showed that the least cost ration for starter broiler produced by linear programming model consists of 68.0% yellow corn, 25.07% soybean, 4% wheat bran, 0.5% fish meal, 0.5% Ca diphosphate, 0.1% lysine, 0.32% methoinine, 0.3% limestone, 0.3% NaCl, 0.5% ready premix, 0.4% soya oil and 0.01% vitamins and mineral mix. For the finisher ration the results showed that the ration consists of 67.5% yellow corn, 20.45% soybean, 5% wheat bran, 0.25% fish meal, 1.5% ca diphosphate, 0.25% lysine, 0.35% methoinine, 0.3% limestone, 0.5% NaCl, 3% ready premix, 0.75% soya oil and 0.15% vitamins and mineral mix.