Twenty popular rice varieties, including sixteen released and four pre-released varieties obtained from Kharif 2019, were screened for quality parameters such as physical, chemical, cooking traits. Correlation coefficients were evaluated to identify rice varieties with desirable grain quality. All the 14 traits evaluated have shown significant variance. 1000 kernel weight has positive significant association with kernel length (r = 0.843) and kernel breadth (r = 0.724). Kernel length after cooking with elongation ratio (r = 0.059), alkali spreading value with water uptake (r = 0.137), percent hulling with percent milling (r = 0.49), and head rice recovery(r = 0.140) also has depicted positive correlation which specifies that these are the principle attributes to enhance grain quality of rice. Significant Correlation among quality characters might help breeders emphasize better grain quality and rice consumers to identify rice variety with desirable grain quality.