social anatomy of racial and ethnic disparities in violence

graphic source

nih | The gap between Whites and Blacks in levels of violence has animated a prolonged and controversial debate in public health and the social sciences. Our study reveals that over 60% of this gap is explained by immigration status, marriage, length of residence, verbal/reading ability, impulsivity, and neighborhood context. If we focus on odds ratios rather than raw coefficients, 70% of the gap is explained. Of all factors, neighborhood context was the most important source of the gap reduction and constitutional differences the least important.

We acknowledge the harsh and often justified criticism that tests of intelligence have endured, but we would emphasize 2 facts from our findings. First, measured verbal/reading ability, along with impulsivity/hyperactivity, predicted violence, in keeping with a long line of prior research.25–28 Second, however, neither factor accounted for much in the way of racial or ethnic disparities in violence. Whatever the ultimate validity of the constitutional difference argument, the main conclusion is that its efficacy as an explainer of race and violence is weak.

Our findings are consistent with the hypothesis that Blacks are segregated by neighborhood and thus differentially exposed to key risk and protective factors, an essential ingredient to understanding the Black–White disparity in violence.17 The race-related neighborhood features predicting violence are percentage professional/managerial workers, moral/legal cynicism, and the concentration of immigration. We found no systematic evidence that neighborhood- or individual-level predictors of violence interacted with race/ ethnicity. The relationships we observed thus appeared to be generally robust across racial/ ethnic groups. We also found no significant racial or ethnic disparities in trajectories of change in violence.

Similar to the arguments made by William Julius Wilson in The Truly Disadvantaged,20 these results imply that generic interventions to improve neighborhood conditions may reduce the racial gap in violence. Policies such as housing vouchers to aid the poor in securing residence in middle-class neighborhoods43 may achieve the most effective results in bringing down the long-standing racial disparities in violence. Policies to increase home ownership and hence stability of residence may also reduce disparities (see model 3, Table 2 ).

Family social conditions matter as well. Our data show that parents being married, but not family configuration per se, is a salient factor predicting both the lower probability of violence and a significant reduction in the Black–White gap in violence. The tendency in past debates on Black families has been either to pathologize female-headed households as a singular risk factor or to emphasize the presence of extended kin as a protective factor. Yet neither factor predicts violence in our data. Rather, being reared in married-parent households is the distinguishing factor for children, supporting recent work on the social influence of marriage44,45 and calls for renewed attention to the labor-market contexts that support stable marriages among the poor.46

Although the original gap in violence between Whites and Latinos was smaller than that between Whites and Blacks, our analysis nonetheless explained the entire gap in violence between Whites and Latino ethnic groups. The lower rate of violence among Mexican Americans compared with Whites was explained by a combination of married parents, living in a neighborhood with a high concentration of immigrants, and individual immigrant status. The contextual effect of concentrated immigration was robust, holding up even after a host of factors, including the immigrant status of the person, were taken into account.

The limitations of our study raise issues for future research. Perhaps most important is the need to replicate the results in cities other than Chicago. The mechanisms explaining the apparent benefits to those living in areas of concentrated immigration need to be further addressed, and we look to future research to examine Black–White differences in rates of violence that remain unexplained. As with any nonexperimental research, it is also possible we left out key risk factors correlated with race or ethnicity. Still, to overturn our results any such factors would have to be correlated with neighborhood characteristics and uncorrelated with the dozen-plus individual and family background measures, an unlikely scenario. Even controlling for the criminality of parents did not diminish the effects of neighborhood characteristics. Finally, it is possible that family characteristics associated with violence, such as marital status, were themselves affected by neighborhood residence. If so, our analysis would mostly likely have underestimated the association between neighborhood conditions and violence.