Background: Globally, a major contributing factor to the development of several nosocomial infections is bacterial contamination of equipment, inanimate surfaces, and the air of the hospital environment. These infections continue to existence of serious disease, death, financial crisis, that leads for prolonged hospital stay and represent public health problem. However, there is shortage of data in Ethiopia as well as the study area. Objective: To determine bacterial load, identify the bacterial species and antibiotic susceptibility profile of isolates from the surface and air at public and private hospitals in Bahir Dar city. Methods: A hospital-based cross-sectional study was conducted at private and public hospitals in Bahir Dar city from May to July 2022. In this study 240 (176 swab, 64 air) samples were collected using purposive sampling. Surface swab and indoor air samples were collected by swab and settle plate method and inoculated on blood agar plate and MacConkey agar plate and sub- cultured to the new media for identification of the isolates at Bahir Dar University Tibebe Ghion Specialized Hospital Laboratory. An antimicrobial susceptibility test was done using the Modified Kirby–Bauer disk diffusion technique. Data were entered into and analyzed using Statistical Package for Social Sciences version 20. Odds ratio was analyzed using logistic regression with a 95% confidence interval with Statistical significance set at a p-value < 0.05. Result: The overall bacterial contamination rate was 54.2%. Coagulase negative Staphylococcus (52.3%) was the most predominant isolate. The significance difference in mean bacterial air load was observed among hospitals (ANOVA, F=4.207; p=0.009 as well as between the private and public hospitals (t=2.95; p=0.012). The frequency of cleaning the wards (AOR=0.64; 95% CI, (0.47-0.88), number of the beds in the wards (AOR-1.55; 95% CI, (1.1-2.18) and the type of the specimen (AOR=2.6, 95% CI, (1.36-4.9) were the explanatory variables significantly associated with bacterial growth. Meropenem showed less level of resistance against gram-negative bacterial isolates. From total isolates, Multi-drug resistance was detected in 71(54.6%). Conclusion: The study showed the bacterial contaminated level and medical equipment mainly which differs significantly among ward and hospitals. The more than half percent of isolates were multi-drug resistant. Therefore, the hospitals should give attention to the improvement of infection prevention policies and the patients should treat with the culture and antimicrobial test result.