Frailty has been linked to an increased risk of coronavirus disease 2019 (COVID-19)-associated mortality, but evidence has been inconclusive and limited to hospitalized older individuals. Using data from the UK Biobank, we assessed whether frailty and comorbidity predict COVID-19 mortality in the overall community population (n=437,555) and in a selected COVID-19 positive sample (n=2,059). Frailty was assessed using the Rockwood Frailty Index (FI) and the Hospital Frailty Risk Score (HFRS), whereas comorbidity was assessed by the Charlson Comorbidity Index (CCI). Overall, 408 individuals died of COVID-19, as ascertained from the death register data. In the full sample, HFRS (odds ratio [OR] 1.07; 95% confidence interval [CI] 1.06-1.07) and CCI (OR 1.14; 95% CI 1.08-1.20) were associated with increased risk of COVID-19 mortality, while FI was not statistically significantly different from null in the multivariable logistic regression model. Adding HFRS or CCI to a model with only age and sex resulted in significantly larger areas under the receiver operating characteristic curves. Nevertheless, when restricting the analyses to COVID-19 positive cases, which is a sample with over-representation of frail individuals, neither of the frailty measures or CCI added meaningful predictive accuracy on top of age and sex. Besides, we observed stronger associations between HFRS categories and COVID-19 mortality in relatively younger (<75 years) than older individuals (≥75 years). Our results suggest that HFRS and CCI, which could be readily derived from medical records, may be useful for COVID-19 mortality risk stratification in the community.