Gay Neighborhoods: Can They Be Identified in a Systematic Way Using Latent Class Analysis?

Identifying gay neighborhoods could help in targeting HIV prevention efforts for men who have sex with men. This study's purpose was to identify gay neighborhoods using latent class analysis (LCA). Data at the ZIP code level were drawn from the American Community Survey, website lists of gay bars and neighborhoods, and the Florida Department of Health HIV surveillance system. A two-class model was selected based on fit. About 9% of the ZIP code data was in class two, which was designated as gay neighborhoods. Cohen's kappa coefficient was used to examine agreement between the classification of ZIP codes from LCA and websites. Fair agreement was found (0.2501). Gay neighborhoods could serve as a place to disseminate information about pre-exposure prophylaxis and other methods for HIV prevention. Improved measures, such as the planned question about same-sex spouses for the 2020 US Census, are needed to identify gay neighborhoods in population-level surveys.