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Abstract Objectives: To quantify how urine sample type and polymicrobial context impact antimicrobial resistance (AMR) in urinary tract infections (UTIs), using routine diagnostics at scale. Methods: In this retrospective, single-centre study, we analysed 188,687 urine cultures from the Institute of Medical Microbiology, University of Zurich, Switzerland (January 2015 to May 2023). We compared midstream urine (MU), indwelling catheter (IDC), and intermittent catheter (IMC) samples. Samples were classified as negative, bacteriuria, or UTI, by meeting a microbiological UTI threshold (≥10⁵ CFU/mL). We compared sample types using covariate-adjusted regression and constrained ordination for community composition. In bimicrobial cultures, we assessed co-occurrence using adjusted pairwise odds ratios and degree-preserving permutation null models, supported by partner-choice analyses. AMR was modelled as acquired resistance (AR) and total resistance (TR: acquired + intrinsic) probabilities, with predictor contributions quantified using mutual information. Results: Among 186,819 MU, IMC, IDC samples, 56,867 met the UTI threshold. Catheter-associated UTIs (IDC and IMC) were ~60% more likely to be polymicrobial than MU samples. Community composition differed by sample type (p