Twenty eight analogues of benzimidazoles had been synthesized and tested for their antimicrobial activity against four bacteria (Staphylococcus auerus, Escherichia coli, Bacillus pumilus and Proteus vulgaris) and two fungi (Aspergillus flavus and Aspergilus niger). Compounds with R as C 6 H 4 NO 2 and R as SO 2 C 6 H 4 -CH 3 (p), with R as C 6 H 4 OCH 3 and R as SO 2 C 6 H 4 -CH 3 (p), and with R as CH 2 C 6 H 5 and R as CH 2 (CH 2 ) 9 Cl exhibited comparable or higher antibacterial activity than Ciprofloxacin against S. auerus and E. coli and, higher activity than Nystatin against A. flavus. Several other compounds showed better activity than the standard antibiotic for E. coli. Compounds with R as CCl 3 and R as SO 2 C 6 H 4 -CH 3 (p) or COC 6 H 5 exhibited the lowest activity against all the organisms. Addition of methylene groups in the R position increased activity. Many of the compounds showed better activity than Ciprofloxacin for one or more organisms. Compound with R as CH 2 OC 6 H 5 and R as CH 2 (CH 2 ) 9 Cl exhibited higher activity against both the fungii than the control Nystatin. Quantitative structure activity relationships (QSARs) developed were good for all the organisms (R 2 56.0؍ to 0.88; R 2 adj 36.0؍ to 0.86) and the predictive capability of the developed models was also reasonable (q 2 25.0؍ to 0.83). The models had two to three independent variables. The data for the models which had three independent variables were divided into training and test/validation sets. The former set was used to develop the QSAR and these developed models were used to predict the activity of the test set data. In all the three cases the predictive capability of the models was good. The molecular descriptors identified were predominantly log P, electronic parameters, molecular size, shape and area. A positive correlation existed between the antibacterial activity and the first principal component.