In Ethiopia, the current rice productivity is very low which is attributed to different abiotic and biotic constraints significantly impacting rice productivity particularly in the north western parts of the country. In an effort to improve the productivity of rice, the national rice breeding program of the country is introducing and evaluating different rice germplasms targeting their adaptability and agronomic performance. Likewise, 352 lowland rice genotypes were introduced and evaluated using augmented randomized complete block experimental design (Augmented-RCBD) with a plot area of 2.5 m 2 involving 4 rows per plot. The seeds were drilled in rows with a seed rate of 60 kg per hectare. NPS fertilizer (124 kg per hectare) and Urea (100 kg per hectare) fertilizers were applied. The quantitative traits such as days to 50% heading, days to 85% maturity, plant height, panicle length, number of filled grains per a panicle and number of unfilled grains per a panicle, and 1000 seed weight were collected and subjected to descriptive statistics (mean performance), ANOVA and multivariate analysis (principal component analysis and clustering analysis) using SAS 9.4 and XLSTAT 2014.5.03 computer programs respectively so as to determine the extent and pattern of the genetic diversity among the tested lowland rice genotypes. From the ANOVA considering the mean square value of the quantitative traits of the treatments (Mean square (MS) of treatments) it has been observed that there is a significant variation for all the traits confirming the presence of genetic variability among the genotypes. The first three principal components (PC1, PC2 and PC3) were identified with a total cumulative variation of 78.90% showing that the genotypes could be grouped into different classes and from the distribution plot, the tested genotypes were almost uniformly distributed in four quadrants pointing the presence of genetic diversity among the genotypes. The clustering analysis result also strengthened the presence of a genetic diversity among the tested rice genotypes where the genotypes were grouped into five clusters with different Euclidian distances.