Wheat production plays a crucial role in global food security in Ethiopia. Understanding the influence of seed and nitrogen rates on bread wheat yield and its components is essential for improving agricultural productivity in such areas. The yield potential of bread wheat study area was 35-55 Qt per Ha, however due to the use of un optimal seed and nitrogen rate current productivity where 2.8 Qt. The experiment was conducted in Menz Mama district, north Shewa, in the 2023 cropping season, using a randomized complete block design (RCBD) with sixteen treatments. These treatments included seed rate of (125, 150,175 and 200 kg ha -1 and nitrogen fertilizer rates (150, 200, 250 and 300 kg ha ). Data on yield and yield components, such as grain yield, spike length, number of tillers per plant, and thousand kernel weights, were collected and analyzed using SAS statistical methods. The results revealed that spike length, number of tillers, thousand seed weight, biomass yield, lodging, and plant height were significantly influenced by the main effects of nitrogen and seed rate (p<0.01), while days of heading and days of physiological maturity were only influenced by the main effect of nitrogen. The interaction between seeding rates and nitrogen levels significantly influenced the number of grains per spike, grain yield, number of productive tillers, straw yield, and harvest index. The study revealed that the combination of 250 kg N ha -1 fertilizer with a seed rate of 175 kg ha -1 provided the highest number of productive tillers, kernel weight, and harvest index. These findings suggest that a seed rate of 175 kg ha -1 demonstrated superior performance in terms of productive tillers, kernel number, thousand kernel weight, and yield under nitrogen fertilizer rates of 250 and 300 kg ha -1 . Overall, the combination of 250 kg N fertilizer with a seed rate of 175 kg ha provided the greatest economic advantage (256284.1ETB) and yield. Since the current study was conducted at single location and only one year, it is better to repeat this experiment on multi-locations and over seasons to come up with reliable recommendation. -1 -1