Pulling Back the Curtain on the California Gang Database: Evidence of Racial, Ethnic and Gender Disparities Among 222 Law Enforcement Agencies.

This article provides a comprehensive analysis of the California Gang Database (CalGang), the first and largest shared gang database in the United States, focusing on its demographic composition and disparities from 2017 to 2022 across 103,840 records reported by 222 law enforcement agencies. The study finds that CalGang is overwhelmingly male (94%), predominantly Hispanic (66%) and Black (23%), with significant overrepresentation of Black and Hispanic males relative to White males by factors of 33 and 11, respectively, after adjusting for age and population demographics. These disparities are consistent across nearly all reporting agencies and raise concerns about racial/ethnic bias, civil liberties, due process, and privacy rights. The article highlights ongoing debates about the legitimacy and public safety value of gang databases, emphasizing the need for transparency, oversight, and further research to balance law enforcement utility with protection of individual rights.