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In the years between 2007-2015, more than 7 million volunteer participants completed measures of bias at the Project Implicit demonstration website (http://implicit.harvard.edu). Visitors choose from a list of topics and then complete an implicit measure (i.e., IATs; Greenwald et al., 1998) and explicit measure (i.e., self-reported preferences) of attitudes or stereotypes. Here we provide a descriptive summary report of these data along with analysis of correlates of implicit and explicit bias. Across seven attitude tasks (Age, Disability, Arab/Muslim, Black/White Race, Sexuality, Skin Tone, Weight) and five stereotyping tasks (Gender-Career, Gender-Science, Native American-Foreign, Asian-Foreign, Race-Weapons) we examine meta-analytic results by participant demographics (gender, ethnicity, race, citizenship, age, education, political orientation, religiosity, and prior participation) and methodological factors (task order). We find that attitudes align with societal bias (e.g., preference for straight people relative to gay people) with smaller effects on explicit than implicit measures. Relationships between demographics and attitudes were generally negligible to small.