Objective: this study aimed to determine the distribution and antibiotic susceptibility patterns of bacterial strains isolated from patients with community-acquired urinary tract infections (UTIs) at King Salman Armed Forces Hospital, Saudi Arabia, Tabuk. Urinary tract infections (UTIs) remain the common infections diagnosed in outpatients as well as hospitalized patients. Early diagnosis and comprehensive treatment can significantly decrease late serious complications. Current knowledge on antimicrobial susceptibility pattern is essential for appropriate therapy. Methods: urinary isolates from symptomatic UTI cases attending to King Salman Armed Forces Hospital were identified by conventional methods. Positive urine cultures from 210 patients aged less than 14 years were studied. Antimicrobial susceptibility testing was performed by Kirby Bauer's disc diffusion method. Results were analyzed by using the NCCLS guidelines of the 210 samples that showed growth of pathogens. Results: the most prevalent were E. coli (96.7%) followed by Klebsiella spp (3.3%). The majority (81%) of the isolates were from females, while the remaining was from males. Among these gram-negative enteric bacilli very high prevalence of resistance was observed against Ampicillin and Co-trimoxazole. For E.coli the lowest resistant rate was that for Nitrofurantoin 10.3% followed by Norfloxacin and Ceftriaxone (11.3% and 11.8% respectively). Resistance to Gentamicin and Nalidixic acid was observed in 19.2% and 47.3% respectively. For Klebsiella, all organisms were sensitive to Gentamicin and Norfloxacin and all organisms were resistant to Ampicillin. There was a high resistance rate to Ceftriaxone (42.9%).Conclusion: this study revealed that E. coli was the predominant bacterial pathogen of community-acquired UTIs at King Salman Armed Forces Hospital. Most of the organisms were resistant to Ampicillin and Co-trimoxazole; it also demonstrated an increased resistance to Nalidixic acid and Gentamicin. This study is useful for the clinician in order to improve the empiric treatment.