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One of the most consistent findings in the cross-national literature is the association between economic inequality and homicide rates. However, recent research has raised doubts concerning causali...

Objectives: Examine the relationships among structural disadvantage, friendship network age composition, and violent offending by investigating the contextual and individual etiology of affiliating with older friends and exploring the mechanisms that link friendship network age composition to violent offending. Method: Hierarchical linear models analyze 8,481 respondents distributed across 1,485 census tracts from the National Longitudinal Study of Adolescent to Adult Health. Social network data are used to construct a measure of the proportion of a respondent’s friendship network that is at least one grade older than the respondent. Results: Consistent with hypotheses, structural disadvantage increases affiliations with older friends, older friendship networks report higher levels of violence, and affiliating with older friends increases violence among respondents. Contrary to expectations, the influence of affiliating with older friends on respondent violence decreases, rather than increases, as levels of violence in the friendship network increase. Conclusions: The results shed light on the inextricable linkages among social context, friendship network composition, and sociobehavioral outcomes among youth. The findings inform peer mentoring program evaluations observing iatrogenic effects via peer deviancy.

This paper assesses the relevance of social disorganization and collective efficacy in accounting for neighbourhood inequalities in the exposure to crime. Specifically, it questions the potential of community and voluntary organizations to enhance informal social control and reduce exposure to crime. It utilizes calls-for-service (incident) data for Greater Manchester (UK) and a Bayesian spatio-temporal modelling approach. Contrary to expectations, the research finds that measures of social disorganization (concentrated disadvantage aside) and collective efficacy hold a limited effect on neighbourhood exposure to crime. We discuss the implications of these findings for criminological inquiry and theoretical development, highlighting the necessity of such endeavour to account for the national political-economy and welfare regime of research settings

Perceived unsafety, fear of crime, and avoidance were studied in relation to different types of crime, crime in different time perspectives, concentrated disadvantage, collective efficacy, urbanity, age structure, and neighborhood disorder. Four data sources were used on a large Swedish city; a community survey from 2012 and 2015 among residents, census data on socio-demographics, police data on reported violent (assault and robbery in the public environment), and property crimes (arson, property damage, theft, vehicle theft, and residential burglary) and geographical information on local bus stops and annual passengers visiting these bus stops. Collective efficacy primarily, but also concentrated disadvantage, was strongly related to perceived unsafety, across 102 neighborhoods. Collective efficacy was strongly related to fear of crime. It was not viable to relate the neighborhood variables with avoidance, however. Fear of specific violent crimes was different from fear of specific property crimes and should for future reference be examined separately. Crime, visible disorder, urbanity, and age structure do not seem as important.

Residents living in neighborhoods marked by concentrated disadvantage (i.e., poverty, joblessness, residential segregation) contend with resource scarcity. Theories indicate that competition for resources from an insufficient pool within the context of concentrated disadvantage may be one factor that promotes social norm violations. A limited body of experimental research has explored the impact of concentrated disadvantage on decision-making about obtaining resources, and in other research, the potential connection between concentrated disadvantage and engagement in social norm violation. Participants (N = 112) completed patch-foraging tasks in resource-rich and resource-depleted (i.e., scarce) environments. Participants then completed a social norm foraging task where they could trespass and forage on their neighbor's land, which was resource-rich compared to their own. Computational modeling was used to evaluate explore-exploit decision-making in the resource-rich and resource-depleted environments. The frequency of crossing and foraging was used to capture social norm violations. Results indicated that individuals who experience higher levels of concentrated disadvantage in the real-world made fewer resource-maximizing decisions in resource-rich and resource-depleted environments. Model fits revealed that the performance difference in the resource-rich and resource-depleted environments for individuals higher on concentrated disadvantage was due to difficulty in discriminating between competing choice options and not due to a general bias toward exploring or exploiting. Finally, when foraging in a relatively depleted environment compared to the enriched environment of their neighbor, the majority of participants, regardless of experienced real-world concentrated disadvantage, engaged in social norm violations. Overall, resource scarcity, whether in the real world or experimental context, affects cognition and behavior.

Purpose This study examines the extent of spatial concentration of sex trafficking within an urban setting. The influence of situational and socio-demographic neighborhood variables on such patterns is then investigated within the framework of crime opportunity and social disorganization theories. Methods Kernel density estimation and spatial clustering tests are used to analyze the distribution of sex trafficking offenses recorded between 2013 and 2015 in Austin, Texas. Negative binomial regression models are then estimated to examine the influence of situational and neighborhood variables on sex trafficking, using the census block group as the unit of analysis. Results The analyses reveal a significant geographic clustering of sex trafficking offenses that is positively associated with proximity to the interstate highway, the number of cheaper hotels/motels and sexually oriented businesses, and concentrated disadvantage. Other variables (distance from the local truck stop, residential instability, and racial/ethnic heterogeneity) were not significantly associated with sex trafficking. Conclusions These findings are largely consistent with criminological theories that emphasize the physical and social environment in facilitating crime. An understanding of the situational and neighborhood factors driving these spatial concentrations can inform intervention efforts by law enforcement and other agencies aimed at disrupting the underlying support structure of sex trafficking.

Objectives:We draw upon theories of social disorganization, strain, and subculture of violence to examine how sex and race/ethnicity intersect to inform nonlethal violent offending at the macrolevel.Methods:Using neighborhood-level incidents, we examine (1) the structural correlates of male and female nonlethal violence and (2) whether ecological conditions have variable impacts on the prevalence of White, Black, and Latino male and female offenses above and beyond differential exposure to disadvantage. We use multivariate negative binomial regression within a structural equation modeling framework which allows for the examination of the same set of indicator variables on more than one dependent variable simultaneously while accounting for covariance between the dependent variables.Results:We find few significant differences in the salience of disadvantage on female and male violence across race and ethnicity although some differences emerge for White men and women. Structural factors are largely sex invariant within race and ethnicity.Conclusions:Despite expectations that disadvantage would have differential effects across sex and race/ethnicity, we uncover only minor differences. This suggests that structural effects are more invariant than variant across subgroups and highlights the importance of investigating both similarities and differences when examining neighborhood structure, intersectionality, and criminal behavior.

We proposed a multilevel model of structural influences on HIV-risky sexual partnerships in a diverse sample of 1,793 youth residing in 23 states and the District of Columbia. We examined the influence of concentrated disadvantage, HIV stigma, and sexual and gender minority stigma on engagement in HIV risky sexual partnerships and whether youth’s participation in opportunity structures, anticipation of HIV stigma, and perceptions of their community as youth-supportive settings mediated structural effects. After controlling for age, HIV status, and race, we found structural HIV stigma had deleterious indirect effects on youth’s participation in HIV-risky sexual partnerships. Concentrated disadvantage and structural sexual and gender minority stigma had direct negative effects on youth’s perceptions of their communities as supportive and on their participation in prosocial activity. Support perceptions had direct, protective effects on avoidance of HIV-risky sexual partnerships. Structural stigma undermines youth’s belief that their communities invest in their safety and well-being.

Purpose Research examining police use of force at micro places appears scant and largely absent from past studies is the consideration of the contextual and ecological dynamics at street segments. Context is a key factor in understanding use of force, but far less is known about whether micro-level attributes contribute to the frequency of force incidents. The purpose of this study is to investigate the potential effects of street-, and neighborhood-level characteristics on the Prevalence of force incidents. Methods The current study draws on police use of force reports data and employs multilevel negative binomial regression equations to examine the impact of place dynamics on force frequency at street segments and census tracts. Results The analyses show that calls for service, crime incidents, and nonresidential land uses are more significantly likely to drive variation in force frequency at street segments. The results at the level-two unit of analysis (census tracts) demonstrate that the odds of using force become significantly higher in commercial, concentrated disadvantage, and violent crime tracts. Conclusions Findings emphasize the need for using street segments as a theoretical-based unit of analysis and separating which specific types of calls for service, crime, and land uses affect police use of force.

Police practices evolve and are often shaped by technological innovation, such as the adoption of body-worn cameras (BWCs). While initial research on their impact is evergrowing, researchers have neglected to examine if their use is influenced by neighborhood characteristics. This study examines the influence of a BWC implementation on police activity and enforcement practices across neighborhoods, using minority threat hypothesis and place theory to explain the relationship. We used pre- and postimplementation enforcement data to examine the influence of BWCs and community characteristics on the actions taken by Louisville Metro Police Department officers. Ten ordinary least squares models were used to analyze the enforcement changes including self-initiated activity, total enforcement, felony arrests, low-level arrests, and low-level citations. Our findings indicate BWCs implementation was associated with a decrease in low-level citations; however, self-initiated activity and felony and low-level arrests were unaffected. Also, concentrated disadvantage was associated with a decrease in self-initiated activity. We also examined the moderating effects between BWCs and neighborhood characteristics and found BWCs were correlated with a decrease in low-level citations. The implications of the findings are discussed.

Research indicates that victims who make changes to their risky behavioral routines are better able to avoid being victimized again in the future. Nevertheless, some victims’ abilities to change their behaviors may be limited by what Hindelang et al. in Victims of personal crime: an empirical foundation for a theory of personal victimization. Ballinger, Cambridge (1978) referred to as “structural constraints.” To assess this issue, we determine: (1) whether victims who reside in communities characterized by structural constraints (e.g., concentrated disadvantage) are more likely to continue engaging in risky behaviors (e.g., offending, illicit drug use, and getting drunk) after being victimized; and (2) whether victims who continue to engage in risky lifestyles have an increased likelihood of repeat victimization. Ten waves of data (spanning nearly 7 years) from the Pathways to Desistance Study are used, and multilevel models are estimated to examine changes to risky lifestyles and repeat victimization among a subsample of victims. Findings indicate that community-level structural constraints impose limits on the changes that victims make to their risky lifestyles, and that these changes influence repeat victimization. We conclude that, in the context of repeat victimization, structural constraints are both real and consequential, and that future theory and research should continue to explore how context shapes and influences victims’ behavioral routines.

Objectives: Examine how neighborhoods vary in the degree to which they experience repeat/near repeat crime patterns and whether theoretical constructs representing neighborhood-level context, including social ecology and structural attributes, can explain variation in single incidents and those linked in space and time. Methods: Examine social, structural, and environmental design covariates from the American Community Survey to assess the context of near repeat burglary at the block group level. Spatially lagged negative binomial regression models were estimated to assess the relative contribution of these covariates on single and repeat/near repeat burglary counts. Results: Positive and consistent association between concentrated disadvantage and racial heterogeneity and all types of burglaries was evident, although the effects for other indicators, including residential instability, family disruption, and population density, varied across classifications of single and repeat/near repeat burglaries. Conclusions: Repeat/near repeat burglary patterns are conditional on the overall level and specific dimensions of disorganization, holding implications for offender-focused as well as community-focused explanations. This study contributes greater integration between the study of empirically observed patterns of repeats and community-based theories of crime, including collective efficacy.

Objectives:Neighborhood characteristics predict burglary targets, but target attractiveness may be colored by the conditions in which a potential offender resides. We test whether relative differences in concentrated disadvantage, racial/ethnic composition, and ethnic heterogeneity influence where burglars offend, controlling for distance. From a relative deprivation perspective, economically advantaged areas make more attractive targets to burglars residing in disadvantage neighborhoods, but a social disorganization perspective predicts areas lower in social cohesion are most attractive, which may be neighborhoods with greater disadvantage.Methods:Drawing upon a unique sample of cleared burglaries in the City of Tampa, Florida from 2000 to 2012, we utilize discrete choice modeling to predict burglar offense destination.Results:Offenders target neighborhoods that are geographically proximate or ecologically similar to their own. When accounting for relative differences, burglars from all neighborhood type...

Purpose Research on juvenile reoffending has experienced an ecological turn, marked by an impressive expansion of studies that test the relation between elements of residential context and reoffending. Yet, to date, little consensus exists regarding what ecological factors matter, how they affect reoffending, and for whom they matter most. To address this gap, this study takes stock of research that tests the relationship between ecological factors and reoffending among youth. Methods A systematic review, in accordance with PRISMA-P guidelines, of quantitative studies (k = 27) was conducted. Evidence was synthesized quantitatively (i.e., meta-analytically, tabularly) and qualitatively (i.e., narratively). Results A variety of ecological factors have been tested, but results are inconsistent and reflect relatively few contexts and samples. The most frequently tested factor, concentrated disadvantage (k = 15), is a predictor of re-arrest (pooled OR = 1.09, p = .01). Inconsistent findings regarding other factors seem to reflect sample and study characteristics. Conclusions Research to date does not indicate summarily rejecting or accepting ecological factors as risk factors for reoffending. To further clarify the ecology-reoffending relationship and inform recidivism reduction interventions, future research should sample from unexamined contexts and test theoretically meaningful relationships via approaches that strengthen causal inference.

A long history of research has indicated that neighborhood poverty increases youth's risk taking and delinquency. This literature predominantly has treated neighborhoods as independent of their surroundings despite rapidly growing ecological evidence on the geographic clustering of crime that suggests otherwise. This study proposes that to understand neighborhood effects, investigating youth's wider surroundings holds theoretical and empirical value. By revisiting longitudinal data on more than 1500 low-income youth who participated in the Moving to Opportunity (MTO) randomized intervention, this article explores the importance of extended neighborhoods (neighborhoods and surroundings) and different concentrated disadvantage configurations in shaping gender differences in risk taking and delinquency. The results from two-stage, least-squares analyses suggest that the extended neighborhoods matter and they matter differently by gender. Among girls, extended neighborhoods without concentrated disadvantage were associated with lower risk-taking prevalence than extended neighborhoods with concentrated disadvantage. In contrast, among boys, localized concentration of disadvantage was associated with the highest prevalence of risk taking and delinquency. Interactions between the immediate and surrounding neighborhoods were similarly associated with differential opportunity and social disorganization mediators. Among the more critical potential mediators of the link between localized disadvantage and boys’ risk taking were delinquent network ties, strain, and perceived absence of legitimate opportunities for success.

Due to high prevalence rates and deleterious effects on individuals, families, and communities, intimate partner violence (IPV) is a significant public health problem. Because IPV occurs in the context of communities and neighborhoods, research must examine the broader environment in addition to individual-level factors to successfully facilitate behavior change. Drawing from the Social Determinants of Health framework and Social Disorganization Theory, neighborhood predictors of IPV were tested using hierarchical linear modeling. Results indicated that concentrated disadvantage and female-to-male partner violence were robust predictors of women's IPV victimization. Implications for theory, practice, and policy, and future research are discussed.

Objectives: Social disorganization theory implies that neighborhood disadvantage influences delinquency in part through the weakening of neighborhood-level social ties and residents’ commitment to social norms. We test these associations by focusing on social ties among neighborhood parents and adolescent commitment to social norms. Methods: We use a population survey of adolescents and combine it with administrative (population) data on school neighborhood characteristics in Iceland. We use multilevel data on 83 school communities and 5,865 adolescents in Iceland to analyze our hypotheses. Results: We find partial support for our hypotheses. Thus, adolescents living in neighborhoods characterized by concentrated disadvantage are more delinquent, net of individual-level (household) characteristics. Moreover, neighborhood-level parental networks and adolescent commitment to social norms mediate a part of this contextual effect. Conclusion: By supporting community theories in a different societal context (i.e., in a small homogeneous society) than most prior work, our study strengthens the external validity of the existing research. As we use cross-sectional data, the study faces the limitation of not being able to separate the constructs temporally.

Serious youthful offenders are presented with a number of significant challenges when trying to make a successful transition from adolescence to adulthood. One of the biggest obstacles for these youth to overcome concerns their ability to desist from further antisocial behavior, and although an emerging body of research has documented important risk and protective factors associated with desistance, the importance of the neighborhoods within which these youth reside has been understudied. Guided by the larger neighborhood effects on crime literature, the current study examines the direct and indirect effects of concentrated disadvantage on youth reoffending among a sample of highly mobile, serious youthful offenders. We use data from Pathways to Desistance, a longitudinal study of serious youthful offenders (N = 1,354; 13.6 % female; 41.4 % African American, 33.5 % Hispanic, 20.2 % White), matched up with 2000 Census data on neighborhood conditions for youth’s main residence location during waves 7 and 8 of the study. These waves represent the time period in which youth are navigating the transition to adulthood (aged 18–22; average age = 20). We estimate structural equation models to determine direct effects of concentrated disadvantage on youth reoffending and also to examine the possible indirect effects working through individual-level mechanisms as specified by theoretical perspectives including social control (e.g., unsupervised peer activities), strain (e.g., exposure to violence), and learning (e.g., exposure to antisocial peers). Additionally, we estimate models that take into account the impact that a change in neighborhood conditions may have on the behavior of youth who move to new residences during the study period. Our results show that concentrated disadvantage is indirectly associated with youth reoffending primarily through its association with exposure to deviant peers. Taking into account youth mobility during the study period produced an additional indirect pathway by which concentrated disadvantage is associated with goal blockage (i.e., the gap between belief in conventional goals and perceived potential to reach those goals), which was then associated with exposure to deviant peers and indirectly, reoffending behavior. We conclude that the neighborhood effects literature offers a promising framework for continued research on understanding the successful transition to adulthood by serious youthful offenders.

Research Summary We develop a set of hypotheses informed by a social disorganization framework and test them using newly available data on nearly 600 terrorist attacks in U.S. counties from 1990 to 2011. Our results show that terrorist attacks were more common in counties characterized by greater language diversity, a larger proportion of foreign-born residents, greater residential instability, and a higher percentage of urban residents. Contrary to the social disorganization perspective but in keeping with most prior research, terrorist attacks were less common in counties marked by high levels of concentrated disadvantage. More generally, we found steady declines in the number of terrorist attacks on U.S. soil from 1990 to 2011. We discuss the implications of the results for theory, future research, and policy. Policy Implications Terrorism, like ordinary crime, is highly concentrated. Of the 3,144 counties in the United States, only 250 (7.95%) experienced a terrorist attack from 1990 to 2011; 5 counties (0.002% of total U.S. counties) accounted for 16% of all attacks. Moreover, counties at greatest risk of terrorist attack have identifying characteristics. Just as random preventive patrol policing has generally been replaced by more targeted strategies, efforts to counter terrorism might benefit from strategies that target certain counties: those with high population heterogeneity and great residential instability that are highly urban. And just as targeting particular neighborhoods raises equity concerns in policing, policies aimed at counties with particular characteristics pose a challenge for countering terrorist attacks. However, unlike the situation in policing ordinary crime, high-terrorism-risk counties are generally not characterized by economic disadvantage or a large proportion of racial and ethnic minorities.

We investigate the degree to which neighborhood income composition affects the subsequent income of individual male residents, and test the degree to which these effects are characterized by nonlinear, threshold-like relationships. We specify a fixed-effects model to reduce potential bias arising from unmeasured individual characteristics affecting neighborhood selection and income. We employ annual data on 124 000 working-age males residing in Stockholm over the 1991-2006 period to estimate parameters for innovative variables measuring the sequence, duration, and intensity of neighborhood exposures. We find that two thresholds—one above 20 per cent and the other above 40 per cent—best describe the strong inverse relationship between consistent exposure to higher percentages of low-income male neighbors and subsequent earnings of individual male residents. We draw implications for potential causal mechanisms behind this relationship and formulating public policy towards places of concentrated disadvantage.

Objectives: Test whether the exposure of street segments to five different potentially criminogenic facilities is positively related to violent, property, or disorder crime counts controlling for sociodemographic context. The geographic extent of the relationship is also explored. Method: Facility exposure is operationalized as total inverse distance from each street segment in Philadelphia, PA, to surrounding facilities within three threshold distances of 400, 800, and 1,200 feet. All distances are measured using shortest path street distance. Census block group data representing ethnic heterogeneity, concentrated disadvantage, and stability are proportionally allocated to each street block. Negative binomial regression is used to model the relationships. Results: Exposure to bars and subway stations was positively associated with violent, property, and disorder crime at all distance thresholds from street segments. Schools were associated with disorder offenses at all distance thresholds. The effects of exposure to halfway houses and drug treatment centers varied by distance and by crime type. Conclusions: Facilities have a significant effect on crime at nearby places even controlling for sociodemographic variables. The geographic extent of a facility’s criminogenic influence varies by type of facility and type of crime. Future research should examine additional types of facilities and include information about place management.

Father involvement reduces risky youth behavior at the individual level. We examine the association between the scarcity of adult men and youth violence at the Census Tract level across a small midwestern city experiencing decades of economic adversity and high rates of violence. We calculated the ratio of men to women aged 25–64 years and indicators of concentrated disadvantage across residential Census Tracts with 2000 U.S. Decennial Census data and the average monthly assault rates for those aged 10–24 years between June 2006 and December 2008 with data from the local police department. Adult male scarcity and the proportion of individuals aged 25 years or older who had less than a high school degree were the two unique predictors of youth assault rates, together explaining 69% of the variance. Interventions promoting effective social, material, and protective support from fathers and other adult male role models may ameliorate risk for youth violence. C

We examined whether the prevalence of commercial diversity, heavy traffic, sidewalks, and trees is associated with perceived social cohesion in Los Angeles County neighborhoods, and how concentrated disadvantage and perceived danger shape these relationships. Consistent with theoretical expectations, concentrated disadvantage and danger were associated with lower cohesion. The effects of built characteristics on cohesion were moderated by disadvantage and/or perceived danger. Danger moderated the effect of commercial diversity, sidewalks, and trees, and concentrated disadvantage moderated the coefficients on built variables (excepting trees) such that the magnitude of their effects were stronger in high-disadvantage neighborhoods. We conclude that built characteristics appear to matter more for cohesion in high-disadvantage neighborhoods and also that approaches to promoting cohesion through the built environment should focus on bolstering residents’ perceptions of safety.

This research seeks to add a new dimension to the growing body of literature investigating disparities in sentencing outcomes. Our study used multilevel modeling techniques to incorporate legal and extralegal individual-level variables with macro-level data in an examination of the factors influencing the formal application of the criminal label when identical noncriminal sanctions are available. Results suggest that measures of police racial profiling are predictive of unfavorable plea outcomes and subsequent application of a criminal label. Findings indicated that the likelihood of receiving an unfavorable criminal plea bargain was greater for men, non-Whites, defendants with a prior arrest, defendants arrested in areas of low concentrated disadvantage, and defendants arrested in areas with high levels of racial profiling. In addition, both concentrated disadvantage and stop disparity conditioned the effect of race on plea outcome.

This paper examines the importance of neighbourhood context in explaining violence in London. Exploring in a new context Sampson’s work on the relationship between interdependent spatial patterns of concentrated disadvantage and crime, we assess whether collective efficacy (i.e. shared expectations about norms, values and goals, as well as the ability of members of the community to realize these goals) mediates the potential impact on violence of neighbourhood deprivation, residential stability and population heterogeneity. Reporting findings from a dataset based on face-to-face interviews with 60,000 individuals living in 4,700 London neighbourhoods, we find that collective efficacy is negatively related to police-recorded violence. But, unlike previous research, we find that collective efficacy does not mediate the statistical relationship between structural characteristics of the neighbourhood and violence. After finding that collective efficacy is unrelated to an alternative measure of neighbourhood violence, we discuss limitations and possible explanations for our results, before setting out plans for further research.

This study examines the effect of dynamic and structural community characteristics on school misconduct. Data include over 45,000 students in the eighth, tenth, or twelfth grade in 237 schools. Hierarchical linear models tested the direct and interactive effects of community measures, while accounting for student and school characteristics. Community substance abuse norms as well as perceptions of community crime and disorder mediated the influence of concentrated disadvantage on school misconduct. Interaction effects demonstrated that community substance abuse norms were more influential for students enrolled in schools that had a less positive school climate although individual and school characteristics remained robust predictors of school misconduct. School misconduct is influenced by the characteristics of the surrounding community and school context, as well as the interaction between those contexts. Research relying on census data measures of community characteristics may underestimate community in...

The purpose of this study is to examine the degree to which police arrest is influenced by an offenders’ level of verbal intelligence. Concomitantly, we examine whether the level of concentrated disadvantage of the neighborhood where the offender resides moderates the effect of verbal intelligence on arrest. To accomplish this, we employed the National Longitudinal Study of Adolescent Health (Add Health) to examine the extent to which persistent delinquent youths’ self-reported arrests are significantly related to their verbal IQ scores. Furthermore, we also analyzed the interaction of verbal IQ scores and neighborhood disadvantage net of an array of theoretically relevant control variables.

Purpose – Police factor in extra‐legal as well as legal context in their decision to arrest a suspect. The purpose of this paper is to examine the effect of extra‐legal factors at both situational and neighborhood levels.Design/methodology/approach – Using hierarchical generalized linear modeling, over 9,000 domestic violence cases across 421 census tracts in Houston, Texas were examined. Situational information was derived from police reports, and neighborhood factors were measured by population characteristics drawn from the US Census Bureau. The model also controls for spatial autocorrelation of arrest rates between census tracts in the estimation of officer's arrest decision.Findings – At the neighborhood level, concentrated disadvantage and immigration concentration had positive effect on the odds of arrest. At the situational level, the time of day, day of the week, premise type, and gender and racial relations between suspect and complainant, along with offense type and weapons use, had significant...

This study provides a partial test of Klinger’s ecological theory of police behavior using hierarchical linear modeling on 1,677 suspects who had encounters with police within 24 beats. The current study used data from four sources originally collected by the Project on Policing Neighborhoods (POPN), including systematic social observation, in-person interviews with officers, census data, and police crime records. It investigates the effects of neighborhood violent crime rates and concentrated disadvantage on officer vigor, controlling for individual-level officer characteristics and situational factors. The analyses reveal that police vigor was significantly shaped by beat-level crime rates, with high–crime rate neighborhoods experiencing higher levels of police vigor in handling suspects. The findings are not consistent with the ecological propositions set forth by Klinger. Implications of these findings and suggestions for future research and theoretical development are discussed.

Although the relationship between neighborhood characteristics and collective efficacy is well established in urban populations with community samples, it is unclear if this relationship holds in rural areas. The current study fills this gap by assessing the perceptions of adolescents from nonurban areas to examine the relationships between neighborhood characteristics and collective efficacy in areas with lower population density. Our sample comprised 402 late adolescents attending a Midwestern university (average age 19.1 years). Consistent with previous studies using urban neighborhoods, we found that higher concentrated disadvantage was related to lower levels of social cohesion, regardless of population density. However, neither residential stability nor concentrated immigration was predictive of social cohesion. None of the neighborhood characteristics significantly predicted social control, after controlling for population density.

Prior research highlights the importance of both situational variables and the broader social context in explaining the distribution of crime. It is unclear, however, whether these factors continue to influence a criminal event as it unfolds, thus affecting the severity of violence. The present study draws on developments in opportunity theory to assess the influence of situational variables and the broader social context on the severity of violence. Using incident-level data from National Incident Based Reporting System and city-level Census data, we estimated a series of multilevel models to examine the effects of location and time of day on victim injury during robberies. We also modeled cross-level interactions to observe the moderating influence of concentrated disadvantage. Findings suggest location and time of day are significantly associated with victim injury, and the broader social context conditions the effect of location on victim injury. We discuss the implications of our findings and directi...

Purpose Many studies have lent empirical support to the procedural justice model of police legitimacy; however, there has, as yet, not been widespread consideration of the potential impact of neighborhood- and community-level factors on people's perceptions of procedural justice or police legitimacy. The present study integrates the macro-level policing literature with the psychological-based procedural justice framework to uncover what effects, if any, the sociostructural environment has on procedural justice and police legitimacy. Methods Hierarchical linear modeling integrates census and survey data within a single, mid-sized city. Results Concentrated disadvantage exerted a marginally-significant impact on procedural justice, and on police legitimacy while controlling for procedural justice. Procedural justice remained the strongest predictor of legitimacy, even when accounting for macro-level characteristics. Conclusions The effect of procedural justice on police legitimacy appears to be robust against the deleterious impacts of concentrated disadvantage. This has implications for procedural justice research, theory, and policing.

We use data from the Los Angeles Family and Neighborhood Study (LAFANS) to examine the degree to which social ties and collective efficacy influence neighborhood levels of crime, net of neighborhood structural characteristics. Results indicate that residential instability and collective efficacy were each associated with lower log odds of robbery victimization, while social ties had a positive effect on robbery victimization. Further, collective efficacy mediated 77 percent of the association between concentrated disadvantage and robbery victimization, while social ties had no mediating effect. The mediation effect for concentrated disadvantage, however, was substantially weaker in the Latino neighborhoods (where it was 52%) than in the non-Latino neighborhoods (where it was 82%), suggesting that a ‘‘Latino paradox’’ may be present in which crime rates in Latino neighborhoods appear to have less to do with local levels of collective efficacy than in non-Latino neighborhoods. Implications for future research bearing on both the Latino paradox and the systemic model of social control are discussed. For the past century, sociologists have sought to understand why some neighborhoods have high rates of crime and delinquency while others do not. Recent theory and research have coalesced around the notion that social capital and the social control it engenders are dominant causes of neighborhood-level variation in crime (for a review, see Sampson, Morenoff, and Gannon-Rowley 2002). This has led researchers to begin searching for local structural and organizational characteristics that give rise to these protective features of neighborhood life (Burchfield 2009; Sampson, Raudenbush, and Earls 1997; Silver and Miller 2004; Warner 2003). And while these studies have increased our understanding by pointing to the effects of structural disadvantage (Sampson, Raudenbush, and Earls 1997), neighborhood attachment (Burchfield 2009), satisfaction with local policing (Silver and Miller 2004), and the strength of local conventional values (Warner 2003), on collective efficacy to prevent crime and delinquency, compelling questions remain. In particular, research in this area is ambiguous regarding the role that social ties play in enhancing collective efficacy, fostering local social control, and controlling crime (Bellair 1997; Browning, Feinberg, and Dietz 2004; Pattillo

The role of neighborhood influence and context is largely absent from the literature on risk and prediction. In this paper, we argue that the differential treatment of black and white suspects, defendants, and offenders may result from the social and spatial mismatch, or separation, between both groups. This mismatch, in turn, has implications for attitudes towards members of both racial groups in the criminal justice system. Black neighborhoods are locked in a cycle of disadvantage in which certain structural characteristics – concentrated disadvantage, residential instability, high crime rates, racial/ethnic heterogeneity, and implicit racial biases – reciprocally influence each other. We propose a sociocognitive model that combines cognitive mechanisms of implicit racial bias (e.g. attitudes) and structural level (e.g. concentrated disadvantage) factors. The sociocognitive approach to risk prediction stresses the impact that personal beliefs and attitudes have on criminal justice actors’ decisions abou...

Since the early 1990s, the number of children with imprisoned mothers has increased 131%. A mother's imprisonment potentially exposes children to a concentrated disadvantage that undermines their cognitive, emotional, and intellectual abilities. Additionally, such experiences can have deleterious effects on mother-child relationships, stand-in caregivers, foster care caseloads, the penal system, and society. Less may be understood, however, about how imprisonment affects the ways in which women view themselves as mothers. This study examines mothering attitudes for a sample of 210 Black, White, and Hispanic imprisoned mothers. Nested modeling results suggest a positive relationship between favorable views about mothering and children's profiles and mothers' expectations about future custody. Regular contact with their children through letter writing and telephone calls foster the most favorable views.Key Words: identity theory, imprisoned mothers, mothering role.According to Bureau of Justice Statistics, 2.3% of the estimated 74 million minor-aged children in the U.S. resident population have an incarcerated parent. Since 1991, the number of children with an imprisoned mother has increased 131% (Bureau of Justice Statistics, 2009). Though imprisoned men currently outnumber women, increases in mothers' imprisonment currently outpace that of fathers (Bureau of Justice Statistics, 2009). The effects of mothers' imprisonment can be extensive, impacting foster care caseloads, stretching limited social service provisions, and altering the quality of life for caregivers who become responsible for such children (Bowers & Meyers, 1999; Mackintosh, Meyers, & Kennon, 2006; Young & Smith, 2000). Other challenges include strained mother-child relationships and potential emotional, intellectual, and cognitive delays for children (Poehlmann, 2005a). Children exposed to parental imprisonment, particularly Black children and those whose parents have little education, have an increased risk of concentrated childhood disadvantage that can have long-term deleterious effects for them, their communities, and the larger society (Wildeman, 2009). Nonetheless, many mothers retain parental rights, continue to facilitate the mother role while imprisoned (Clark, 1995; Enos, 2001), and plan to resume full-time mothering after their release from prison (Norton-Hawk, 2006; Pollack 2006). Imprisoned women who maintain close relationships with family are less likely to recidivate and have an increased likelihood of parole success (Hairston & Rollin, 2006; Mustin, 1994).Given the deleterious effects of parental imprisonment and parent-child separation, individual and community stakeholders may benefit when imprisoned women maintain positive views about mothering (Johnston, 1995). Though some imprisoned mothers do not value or desire maternal roles, the present study sheds light on the many women who do. Although existing research examines mothers' experiences during imprisonment, the maternal identities that are reciprocally shaped by these experiences have not been adequately examined. Therefore, continued inquiry is needed about how maternal imprisonment impacts the lives and identities of mothers and children (Dalley, 2002; Enos, 2001; Henriques, 1996) and how to best prepare women for life after prison with their children (Norton-Hawk, 2006). The current study addresses these important considerations. We considered the following questions: How do expectations about mothering bear out for imprisoned mothers who are physically separated from their children? Do they express positive sentiments about mothering despite their inability to exhibit many of the corresponding behavioral expectations? The present study relies on regression modeling to investigate whether a sample of 210 White, Black, and Hispanic imprisoned mothers view their mothering roles favorably and dynamics that can foster or undermine affirming views. Beyond its academic import, this study is potentially significant because of the implications for identifying and developing strategies and practices that may enhance relationships between imprisoned mothers and their children. …

Objectives: Attribution theory is used to frame a study on concentrated disadvantage and youth correctional confinement. Method: Population of delinquent referrals and a random sample of 50 youth case file records from a large urban juvenile court in the southwest are analyzed. Results: Black and Latino/Latina youth were more likely than their White counterparts to be institutionalized. Youth from areas with high levels of concentrated disadvantage were more likely to be confined than youth from more affluent areas. Court officials' perceptions of disadvantage play an important role when deciding whether youth should remain in the community or be incarcerated. Conclusions: Race, ethnicity, and concentrated disadvantage play a significant role in juvenile justice. Court officials perceive areas of disadvantage as high risk and dangerous for youth. Unfortunately, correctional confinement appears to be one way to address youths' vulnerable state. This study sheds light on the importance of economic landscapes in the administration of justice and the delivery of services.

This study examined the effects of neighborhood structural and social characteristics on offending among girls and boys aged 8–17 residing in 80 Chicago neighborhoods. The results demonstrated gender differences in contextual effects, although not in ways predicted by social disorganization theory. Collective efficacy and concentrated disadvantage were not significantly associated with self-reported offending among males. Among females, collective efficacy was related to higher rates of general delinquency and violence, while disadvantage reduced the likelihood of self-reported violence. These outcomes suggest that neighborhoods may impact individual offending in complex ways and highlight the importance of considering gender when researching contextual effects on youth offending.

Purpose Despite a longstanding tradition in criminology to consider the impact of neighborhood context on crime-related outcomes, criminologists have largely ignored the influence of social ecology on recidivism until recently. The purpose of the present study was to examine the main and moderating influences of social ecology on recidivism. Materials and Methods The present study used hierarchical nonlinear modeling to estimate the effects of concentrated disadvantage, immigrant concentration, and residential stability on recidivism for a sample of offenders released from custody/supervision in 2006 and nested within Iowa counties. We controlled for individual-level risk for recidivism using the Level of Service Inventory-Revised (LSI-R), a validated risk assessment instrument. We also examined whether the relationship between LSI-R score and recidivism varied across counties, and if so, whether this variation can be explained by social structural characteristics. Results Results indicate that residential stability was the only contextual variable significantly related to recidivism. The relationship between individual-level risk and recidivism did not vary across contexts. Conclusions The findings suggest that the social structural context has limited influence on recidivism, while the LSI-R is a robust predictor of recidivism across contexts. We discuss the implications of our findings for theory, practice, and future research.

Studies of beliefs about social stratification have generally focused on how individual-level factors shape people's explanations of poverty and inequality. In this article, the authors contribute to this literature by adding a community-level measure of “concentrated disadvantage” (poverty and associated conditions) to models predicting support for individualistic (person-centered) and structuralist (system-challenging) beliefs about the causes of poverty. Using data from two Los Angeles County surveys and the 1990 Census, multi-level linear and logistic regression models reveal that higher levels of concentrated disadvantage are associated with increased support for both individualist and structuralist explanations of poverty—a “dual consciousness” pattern the authors attribute to increased exposure to social conditions that simultaneously foster sympathetic and antagonistic attitudes toward the poor. These findings add useful information to our knowledge of stratification beliefs and contribute to a growing body of studies showing that “place-level” factors can be important determinants of beliefs and attitudes net of individual-level covariates.

The relationship between racial residential segregation and African-American crime rates has thoroughly been explored within the literature on race and crime. However, predictions are mixed when addressing the relationship between racial residential segregation and white crime. According to Massey (2001), whites should be expected to benefit from segregation. This paper explores the research and the literature related to racial residential segregation and crime from the perspective of white advantage. Specifically, it is postulated that racial residential segregation may benefit whites economically, politically, and culturally via several key pathways: by removing them from residential areas of concentrated disadvantage, by distancing them from criminogenic subcultures and areas of higher victimization, and by maintaining political stability and/or reinvestment in white neighborhoods. The methods by which these relationships may be empirically tested are discussed. We further explore different measures of racial segregation, as well as potential intervening variables that may mediate the relationship between racial residential segregation and crime, and discuss the benefits and implications for their inclusion in future research.

The current work assesses the relationship between respondent perceptions of collective efficacy and neighborhood violence. Data used in the analysis combined a community survey from Mesa, Arizona, with census data. Factor analysis provided mixed evidence regarding the factor structure of collective efficacy; therefore, separate regression models were used to test the influence of collective efficacy, social cohesion, and willingness to intervene on levels of neighborhood violence. Analyses found that community structural characteristics including concentrated disadvantage and residential instability significantly predicted perceptions of collective efficacy, social cohesion, and willingness to intervene. In turn each of these variables was related to violent crime after controlling for levels of concentrated disadvantage, residential instability, and individual demographic characteristics. When social cohesion and willingness to intervene were included in a single regression model, only social cohesion was predictive of neighborhood violence. Social cohesion and violent crime had reciprocal effects that were both negative and statistically significant.

Foundational research on the link between neighborhood accessibility and burglary has consistently shown a positive association. However, recent research has found that less accessible neighborhoods have higher burglary rates. Geographically referenced data from 401 neighborhoods in Jacksonville, Florida, are used to determine whether these inconsistencies can be explained by a conditioning effect of neighborhood social-structural context. Results from spatially lagged regression models indicate that neighborhood accessibility fails to have a direct effect on burglary rates after social-structural variables are controlled; rather, the effect of neighborhood accessibility on burglary rates is conditioned by the level of concentrated disadvantage of the neighborhood. Two potential explanations for the empirical findings are offered, and implications of the results for “designing out” crime are discussed.

Two lines of critiques have developed in reference to broken windows theory: (1) Concentrated disadvantage appears to be more intricately linked with disorder than the theory allows for; and (2) There is concern that disorder and crime lack discriminant validity in that people do not actually distinguish between the two. The present study integrated these two perspectives by examining whether concentrated disadvantage—including disorder itself—affects the extent to which people view disorder and crime as separate problems. Multivariate models showed that people who believe their neighborhood to be more disorderly were more likely to make distinctions between disorder and crime. Theoretical recommendations for future tests of broken windows theory are presented and the policy implications for order maintenance policing programs are discussed.

This study sought to explore if the structural characteristics of a community (specifically what sociologists term concentrated disadvantage) interact with race in predicting recidivism. The literature on recidivism stresses the effects of individual factors. This study considered whether effects of the community in which an ex-prisoner lives should be further explored. Of particular interest was the possibility of interaction between concentrated disadvantage and race. Results showed that race strongly predicts recidivism (Blacks being much more likely to recidivate than Whites). This remained the case in spite of multiple controls accounting for racial differences. Neither concentrated disadvantage nor the interaction between it and race had significant effects on recidivism. The study considered what might account for the lingering racial effect, and why the community does not affect the likelihood of recidivism.

Prior research frequently observes a positive cross-sectional relationship between various neighborhood structural characteristics and crime rates, and attributes the causal explanation entirely to these structural characteristics. We question this assumption theoretically, proposing a household-level model showing that neighborhood crime might also change these structural characteristics. We test these hypotheses using data on census tracts in 13 cities over a ten-year period, and our cross-lagged models generally find that, if anything, crime is the stronger causal force in these possible relationships. Neighborhoods with more crime tend to experience increasing levels of residential instability, more concentrated disadvantage, a diminishing retail environment, and more African Americans ten years later. Although we find that neighborhoods with more concentrated disadvantage experience increases in violent and property crime, there is no evidence that residential instability or the presence of African Americans increases crime rates ten years later.

Schools in areas of concentrated disadvantage tend to have below‐average attainment, but there is no consensus on why. Mental and behavioural disorders in children are correlated with socio‐economic disadvantage. This paper puts forward the hypothesis that the first phenomenon can at least partly be accounted for by the second phenomenon through the concept of ‘collateral impact’ – collateral impact refers to the effect of externalising or internalising behaviour by a pupil on other pupils' learning and attainment. The argument developing the hypothesis is presented. An analysis of where evidence to support the hypothesis is most likely to be found identifies primary schools in areas of concentrated disadvantage, although testing of the proposed hypothesis would best be conducted by independent researchers to pre‐empt questions of confirmability. Potential implications for policy and practice are discussed, particularly managing difficult group behaviour in primary schools.

This study investigated the relationship between neighborhood factors and juvenile serious offenders in Wayne County, Michigan. Wayne County is home to Detroit, a city with a glorious past but a bleak future. Administrative data were linked to tract-level census characteristics that proxy for social disorganization structural factors. Results by negative binomial regressions found significant associations in the expected direction with concentrated disadvantage, concentrated affluence, and inequality. Concentrated immigration, however, was insignificantly related to juvenile serious offending, and residential stability increased rather than decreased offending. These counter-theoretical results might be due to the presence of homes inhabited by students and young professionals and the vibrant Latino immigrant communities. The stark contrasts this analysis documented, combined with the high correlation of economic conditions to juvenile crime, demand urgent and radical responses to completely transform impoverished neighborhoods in Wayne County.

This article argues that the literature on digital inequality—in its focus on individual characteristics, behaviors, and outcomes—has overlooked change within the context of where social and civic inequalities are reproduced. This omission is the result of a failure to explore the role of ecological context within the study of the digital divide and the role of communication within the study of collective efficacy. Social cohesion, and an expectation for informal social control at the neighborhood level, is a function of both ecological context and media context. Those embedded within settings where prior media, including the telephone and face-to-face contact, could not overcome contextual barriers to collective action, namely within areas of concentrated disadvantage; may now, as a result of local Internet use, experience reduced social and civic inequality. This article is based on the results of a 3-year naturalistic experiment that examined the use of the Internet for communication at the neighborhood level. It proposes a new measure of collective efficacy — in place of network measures or perceived cohesion — based on the direct observation of communication practices. The analysis includes a model of the ecological characteristics associated with neighborhoods that adopted the Internet as a means of local information exchange, and it provides a comparison of the content of electronic messages exchanged within areas of advantage and those of extreme poverty, unemployment, and racial segregation. Findings suggest that as much as the Internet supports social and civic engagement in areas where it is already likely to be high, it also affords engagement within contexts of extreme disadvantage.

Examining the spatial and contextual features of race and ethnic-specific stop rates, this paper combines structural indicators of concentrated disadvantage and social disorganization with citizen-police contact data on more than 61,000 police stops in the Miami-Dade area. While the existing race-biased policing literature tends to vary greatly in scope and analytical strategy, research that takes into account spatial dynamics coupled with neighborhood characteristics when examining police stop rates has yet to be offered. Furthermore, given the racial and ethnic diversity of the Miami-Dade communities, we assess the often neglected issue of police stops involving Hispanic drivers, in addition to those of whites and African Americans. Our spatial analysis, which allows us to account empirically for the theoretical likelihood that what occurs in one neighborhood is influenced by nearby neighborhoods, reveals differences in spatial clustering of stops involving racial and ethnic groups. Spatial mul...

Individual and household-level characteristics that influence sexual behavior have been extensively studied in South Africa, but community characteristics have received limited attention. We use multilevel discrete time hazard models and multilevel logistic regression models to analyze data from a representative sample of young people in KwaZulu Natal, and from several sources of community data. Results suggest that, net of individual and household characteristics, higher levels of community concentrated disadvantage are associated with increased hazard of sexual initiation and higher risk of unprotected sex. Social disorder increases the hazard of sexual initiation, while greater community social cohesion is associated with delayed sexual debut, although the latter association appears stronger for young men than for young women. We discuss these results and the ways they vary from predictions based on U.S. theory in light of conditions prevailing in contemporary South Africa.