The present investigation was carried out during two successive summer seasons of years 2019 and 2020 at the Faculty of Agriculture (Saba Basha), Alexandria University and the laboratory of the vegetable seeds of Sabahya Horticulture Research Station, Alexandria Governorate, Egypt to evaluate six local cultivars and landraces of common bean for some morphological characters, yield and its components as well as estimate some genetic parameters and analysis. Results reflected obvious differences among the six genotypes of common bean for most of the studied characters.In general, the coefficient of variation was low (less than 10 %) or relatively low (less than 20 %) for most of the studied traits in the majority of studied genotypes ofcommon bean. The highest coefficient of variation was obtained by Alexandria landrace (35.7 %) followed by Dandara landrace (27.9 %) in height of the first pod. These results indicated that the six genotypes of the common bean are genetically identical concerning all the studied traits except for the height of the first pod with respect to Alexandria and Dandaralandraces. Analysis of variance data refers to that there were highly variations between genotypes under study. So, it can be concluded that all studied traits could be improved through the selection method. The number of days to the first pod is strongly affected by the change in the environmental conditions. Genotypes contain a fair amount of variations, and thus starting a breeding program consisting of self-reproduction and selection may be very effective in promoting productivity across different generations. All genotypes under study are considered fertile environment for breed selection and breeding, especially Assiut and Kafr El-shikh genotypes because its high productivity and good differences but it needs some improvement. Cluster analysis, according to DNA- RAPD analysis and morphological traits divided the 6 studied genotypes into groups. Among these clusters, there was a mono-genotypic cluster and the other included between 2 to 5 genotypes with a number of sub-clusters. The two methods assessed a high level of genetic variations. Based on results for morphological and molecular genetic diversity estimates, mono-genotypic clusters can be exploited to harness their unique features in breeding programs.