Implicit biases potentially influence attitudes and behaviors towards social in-groups and out-groups, such as racial minorities. In this empirical study, the strength of the implicit association measure (d) was obtained from 112 university students using the PsyToolKit version of the Implicit Association Test (IAT). These scores were then compared to d scores from various other sources, including the national-level IAT dataset provided by Project Implicit, a subset of the national dataset specific to Oklahoma, a new sample from a metropolitan university in Oklahoma, and a new sample from a nearby Historically Black College or University (HBCU). The IAT involves a computerized task where participants swiftly categorize words and pictures based on whether they convey negative or positive sentiments. In this experiment, participants used the "E" key for the left side of the screen and the "I" key for the right side. Pressing one key signifies that the stimulus belongs to the designated category (good/bad) while pressing the other key indicates that it does not. Key-press response times and error rates are then used to calculate d scores. Higher d scores suggest stronger associations with the particular group--thus, a high positive value implies a positive association with "White = Good" stimuli in this context. Conversely, a negative d score implies an association of "Black = Good". Analysis of variance and post-hoc tests unveiled disparities in d-scores among the various datasets and racial groups. Overall, state-level d scores surpassed national-level d scores, suggesting more positive associations between White individuals and "Good". At the local level, the distinction between the metropolitan university and the HBCU was notable: The metropolitan area exhibited a negative d score, indicative of an association with Black individuals and "Good", while the HBCU population demonstrated positive d scores, signifying an association with White individuals and "Good". These variations in d scores among Black, White, and other participants may indicate differences in the strength of implicit associations between race and valence across these distinct groups. Additionally, at the national level, d scores for Black participants were negative, while those for White participants were positive, and d scores for individuals of other races were positive. At the state level, d scores for Black participants remained negative, while those for White participants were positive, along with positive d scores for participants of other races. At the local level, both the metropolitan university and the HBCU exhibited differences in d scores among Black, White, and other participants, as previously mentioned. In the metropolitan area, Black participants exhibited positive d scores, White participants had negative d scores, and individuals of other races showed positive scores. Conversely, at the HBCU, Black participants had positive scores, White participants also had positive scores, and individuals of all other races similarly demonstrated positive scores. The intriguing results indicated that Black participants from the metropolitan area displayed a preference for White individuals and associated them with positive attributes, while White participants exhibited a preference for Black individuals, also associating them with positive traits. Moreover, at the HBCU, Black individuals similarly demonstrated a preference for White individuals and their associated positive attributes. The survey administered following the computerized task included several different Likert scales, encompassing a discrimination scale consisting of questions regarding racial preference, scenario questions concerning social interactions with individuals of other races, the Social Dominance scale (SDO), Belief in a Just World, Humanitarianism, the Big Five Personality traits, Right-Wing Authoritarianism, and the Bayesian racism scale. Upon running a Pearson correlation between the survey scores and d scores, the results did not reveal significant correlations for all the listed scales, except for SDO, which exhibited a significant correlation between the two. Survey scores were collected from both the metropolitan and HBCU populations.