Microbial biofilms, complexes containing embedded bacterial cells in secreted extracellular polysaccharides, has raised significant issues in dentistry. They are providing ongoing nutrient supplementation since they can adhere strongly to teeth and their inherent resistance to conventional antibiotics and cleaning techniques. This study aimed to identify and characterize biofilm-forming dental microbes and evaluate statistics relating biofilm formation to antibiotic resistance under aerobic and anaerobic conditions. Ninety-six swab samples were collected from different sites of oral cavities, and 184 microbial isolates were isolated under aerobic and anaerobic conditions. All isolates were identified, and the ability of the isolates to form biofilms has been assessed using qualitative and quantitative methods. The isolates were then tested against a variety of antibiotics. Analyzing the relationship between antibiotic resistance and dental biofilm formation statistically, Minitab 19 and SPSS 25 using ANOVA one-way were used. The result revealed that 54.95% of the aerobic isolates can form biofilms with different degrees, while the other 45% haven't. Indeed, among isolates of anaerobic bacteria, 60.27% form biofilm while 39.72% haven't. Enterococcus faecium, Pseudomonas. aeruginosa, Klebsiella pneumoniae, Streptococcus mutans, Staphylococcus aureus, and Lactobacillus rhamnousa were found to be multidrug-resistant (MDR) strains that are the strongest biofilm formers. The present study's statistical analysis of aerobic isolates showed that biofilm formation is negatively correlated with susceptibility (P - value< 0.05) to Cefadroxil, Cefoxitin, and Piperacillin. Formation of biofilms and susceptibility to Cefadroxil, Cefoxitin, Piperacillin, Cefamandole, Aztreonam and Amoxicillin are also significantly negatively correlated (P- value <0.05) in the case of anaerobic isolates. Our findings can conclude that anaerobic conditions may be more favourable for microorganisms to disseminate the resistance genes via the biofilm matrix. Detection of such correlations in dental isolates is helpful in studying the behavior of this pathogen and may provide a new target for the treatment of MDR infections of oral cavity.