The study was conducted with the aim of performance evaluation and developing live weight prediction equation for Gumuz sheep under on-station management. The data collected at Metema Gumuz sheep station from 2016 to 2021 was used to evaluate growth, reproductive performance, survival rate and to develop prediction equations from linear measurements for Gumuz sheep. A general linear model (GLM) procedure of the Statistical Analysis System (SAS, version, 9.4) was used to analyzed growth, reproductive performance and linear body measurements. Survival rate was analyzed using GENMOD procedure of SAS with logit link function and the live weight prediction equations were developed using stepwise regression procedure of SAS. The overall least squares mean for birth (BW), one-month (OMW), three-month (WMW), six-month (SMW), nine-month (NMW) and yearling weight (YW) of Gumuz sheep were 2.40±0.04, 5.80±0.10, 9.29±0.21, 13.33±0.38, 15.62±0.50, and 18.40±0.62kg, respectively. Sex, dam parity, ewe postpartum weight, birth type, season, and year of birth were sources of variation that affect lamb growth performance at various stages. The overall least-squares means of body weight gain from birth to one month, one month to three-month, three-month to nine-month, nine-month to twelve-month and birth to yearling were 100.50±3.33,75.78±2.05, 48.02±1.6, 40.72±1.32, 39.63±1.53, and 42.22±1.72 g/day, respectively. The average age at first service and lambing of Gumuz sheep were 293.94±20.34 and 442.02±21.20 days, respectively. Birth year, ewe postpartum weight, and dam parity were important factors that affected age at first service and lambing. The mean lambing interval (LI) for Gumuz sheep was 289.59±10.92 days whereas; liter size (LS) and annual reproductive rate (ARR) were 1.21±0.03, and 1.59±0.11, respectively. The least-squares mean of survival rate from viii birth to one, one to three, three to six, six to nine, nine to twelve and birth twelve months of ages were 87.11± 0.41, 79.81±0.35, 74.78±0.32, 68.78±0.34 and 54.85±0.32%, respectively. Season of birth, year of birth, birth type, lamb's birth weight, and dam parity had a considerable influence on the survival rate of lambs. Age was a highly significant (P<0.001) source of variation for all body measurements while sex significantly affected (P<0.01) some traits (WH, FCL, and HL) only. Most body measurements were positively and highly (P<0.001) correlated with body weight. The stepwise multiple regression analysis revealed that HG and BL were the utmost important variables to predict live body weight for one month male and female, respectively; BL and WH were important variables to predict live body weight for three-month male and female, respectively; PH was important variables to predict live body weight for six-month male and female, WH was an important predictors for nine month male and female, HG were important predictors for yearling male and female lambs. Thus, where there is no access to weighing balance and in the field, the producers could use these traits to predict live weight. To improve the growth performance and survival rate of lambs, better management should be given especially for lambs born in dry season, twin birth and for those lambs born with light weight