Sex and race are understood to influence pain ratings but likely also affect other pain-related sequelae. This study examined the influences of sex and race on ratings of pain intensity, pain unpleasantness, pain-related negative mood, pain coping, and need for medical treatment. Seventy-five undergraduates viewed virtual humans expressing pain, and provided computerized ratings with Visual Analogue Scales. Mixed ANOVAs showed that male and female participants rated female virtual humans higher than male virtual humans on pain intensity, [F (1, 73) = 4.92, p < 0.05], pain unpleasantness, [F (1, 73) = 7.61, p < 0.01], pain-related negative mood, [F (1, 73) = 6.76, p < 0.05], poor pain coping, [F (1, 73) = 6.37, p < 0.05], and need for medical treatment, [F (1, 73) = 5.98, p < 0.05]. Male participants also rated African American and Caucasian virtual humans' need for medical treatment higher than females' ratings, (F (1, 73) = 4.02, p < 0.05). Caucasian and African American participants' ratings for female videos were higher than male videos only on pain intensity, [F (1, 73) = 6.93, p < 0.05] and pain unpleasantness, [F (1, 73) = 4.17, p < 0.05]. Caucasian virtual humans were viewed as having higher pain-related negative mood [F (1, 73) = 3.99, p = 0.05] and poorer pain coping [F (1, 73) = 6.86, p < 0.05] than African American virtual humans. African American virtual humans' pain intensity was rated higher only by African American participants [F (1, 73) = 4.73, p < 0.05]. Females' higher negative mood and poorer coping might be explained by the relationship between pain, mood, and coping. Males' tendency to seek more pain medications may explain their high levels of recommending virtual humans to seek treatment. Results also show that races may differ in sensitivity to pain expressions.