The VIA Classification on character strengths and virtues suggests 24 character strengths clustered into six core virtues. Three recent studies employed different methods for testing the assignment of character strengths to virtues, and generally supported the VIA classification. However, the co-occurrence of character strengths and virtues within individuals has not been examined yet. Another untested assumption is that an individual’s composition of character strengths is related to being considered of “good character.” Thus, the present study addresses three research questions: How (...) do character strengths and measured virtues co-occur within individuals? How does the number of character strengths an individual possesses within a virtue cluster relate to their level of the respective virtue? How does the composition of an individual’s character strengths relate to being considered of “good character”? We combined data from different studies to obtain a sample of N = 1,241 participants aged 18 to 92 years. All participants completed assessments of character strengths and virtues. Regarding, we found a high convergence of the correlations between strengths and virtues and the VIA Classification: 22 out of 24 character strengths correlated with the assigned virtue. Also, 15 character strengths showed the numerically highest correlation with their assigned virtue. Regarding, overall, we found a linear trend between the number of strengths within one cluster and the virtue level. Regarding, we found higher levels of reported “good character” in those who possessed either at least one character strength in each virtue cluster or all character strengths in at least one virtue compared to those who did not. The present results contribute to the discussion regarding the structure of character: individuals’ character strengths relate to differences in virtues, across different measures and data sources. Relationships were mostly as expected, and deviations were consistent with results obtained using other approaches. (shrink)