Chinese characters hold great potential to help inform and enrich psycholinguistic research on lexical ambiguity as a large portion of them are ambiguous in nature with meaning varying from context to context. This report presents a psycholinguistic database that contains over 2000 characters with normative measures for meaning dominance and meaning balance, that is, the relative frequency of each meaning associated with a target character and the degree of balance across the meanings of the character. The measurement process takes advantage of the fact that, in Chinese, generating words containing a target character is the most convenient way to specify and disambiguate character meanings. Character meanings stored in ordinary people’s mental lexicon are identified based on the words, along with a small portion of meaning descriptions, listed by over 900 native speakers. The measures of meaning dominance and meaning balance for the characters are derived from computing the relative frequencies of the meanings. Potential research and practical applications of the database, as a valuable tool, to enhance our understanding of the acquisition, representation, and processing of ambiguous lexical items are discussed.