The purpose of this study was to examine the psychometric properties of the Chinese 9-item Problem Gambling Severity Index (PGSI) derived from the 31-item Canadian Problem Gambling Index (CPGI) originally developed by Ferris and Wynne (2001). Exploratory factor analysis (EFA; n = 386; Group A data) and confirmatory factor analysis (CFA; n = 387; Group B data) on the Chinese student and community data (Mean age = 25.36 years) showed that a unifactorial model fitted the data with good reliability score (Cronbach's alpha = 0.77). The concurrent validity of the PGSI-C was good in terms of the Chinese data matching the expected correlation between PGSI-C and other variables or scales such as SOGS, gambling frequency, gambling urge, gambling cognitions, depression, anxiety, and stress. The scale also reported good discriminant and predictive validity. In sum, the PGSI-C has good psychometric properties and can be used among Chinese communities to identify at-risk problem gamblers. Implications and suggestions for future research are discussed.