Homicide Studies: Street Gangs and Aggregate Homicides

Homicide Studies: Street Gangs and Aggregate Homicides

Authors and Affiliation

  • S. E. Costanza 1

  • Ronald Helms 2

  • Affiliations:

    • University of South Alabama, Mobile, AL, USA

    • Western Washington University, Bellingham, WA, USA

    • Corresponding Author: S. E. Costanza

Abstract

  • Contribution to research on city-level violence rates peaking in 1993.

  • Utilizes homicide data from 1993, introducing indicators for active street gangs and structural explanations of homicide rates.

  • Assesses correlation between gang presence and homicide variation across 154 U.S. central cities.

  • Findings show that active gang presence significantly associates with homicide rates.

Keywords
  • homicide rates

  • gangs

  • urban violence

  • anti-gang policy

  • social disorganization

Introduction

  • Dramatic escalation in violent crime in the U.S. from mid-1980s to early 1990s (MacDonald & Gover, 2005).

    • Peak of violent crime rates for young men reached in 1993 (Cook & Laub, 1998).

  • Criminologists researched social psychological and structural causations for increased violence (Jackson, 1991).

  • Continued investigations emphasize homicide patterns during the violent peak period (Cerdá et al., 2010; MacDonald & Gover, 2005).

  • Focuses on empirical links between street gangs and homicide offending in U.S. central cities.

Dynamics Influencing Homicide Rates

Early Explanations
  • Increased homicide rates linked to convergence of drug markets, guns, and gang presence (Decker, 1996; Decker & VanWinkle, 1994; Esbensen & Huisinga, 1996).

  • Complex developmental issues impacting patterns of gang membership (Bjerregard, 2010; Thornberry & Krohn, 2003).

Contemporary Perspectives
  • Strong correlations between gang affiliations and street-level violence documented (Esbensen et al., 2010; Klein & Maxson, 1995; Thornberry & Krohn, 2003).

  • Gangs viewed as key contributors to heightened violence (Liberman, 2010) through exploitation of marginalized drug economies (Block et al., 1996; Coughlin & Venkatesh, 2003).

Gangs and Homicide Linkage
  • Lack of aggregate evidence correlating gangs with lethal violence (Maxson, 1992).

  • Previous micro-level studies identified links but aggregate-level analysis remained under-explored.

  • Historical narrative surrounding street gangs and violence prevalent for over 150 years (Gilfoyle, 2004; Thrasher, 1927).

Empirical Evidence Supporting Gang Effects

  • Disputed numbers on annual gang-related homicides reported (Block et al., 1996):

    • Chicago: 32% of total homicides (1994).

    • Los Angeles: 44% of total homicides (1994).

  • Formative studies highlight gang involvement in drug distribution and its correlation with violence (Blumstein, 1995; Cork, 1999).

  • Inconsistent aggregate evidence correlating gangs to homicide rates remains (Anderson, 1990; Hagedorn, 1988; Moore, 1991).

Structural Explanations
  • Empirical homicide research challenges numerous structural hypotheses:

    • Mixed findings regarding race effects (Kovandzic et al., 1998; Liska et al., 1998).

    • Contradictions surrounding economic inequality on homicide rates (Blau & Blau, 1982; Messner, 1982).

    • Similar mixed results regarding poverty effects (Bailey, 1984; Messner, 1983).

  • Underlying issues surrounding unemployment effects and household disruption also yield inconsistent outcomes.

Theoretical Framework and Hypotheses

Active Local Gangs and Lethal Violence
  • Oppositional street cultures imbued individual patterns of violence (Anderson, 1990; Rosenfeld et al., 1999).

  • Empirical studies underscore gang involvement in drug markets and violence facilitation (Cork, 1999; Hagedorn, 1998).

  • Gangs linked to violence through community dynamics and risky situations.

Effects of Concentrated Disadvantage
  • Structural indicators of concentrated disadvantage address community disorganization (Land et al., 1990; McCall et al., 2010).

  • Assesses how the presence of racial minority populations contributes to stratified social tensions and crime.

Additional Structural Indicators
  • Examines unemployment, Black/White income ratios, and divorce rates affecting homicide rates.

  • Population size accounted as a contributor to reduced societal control.

Methodology

Dependent Variable and Sample
  • Homicide data sourced from FBI Uniform Crime Reports (1993), assessing per capita rates.

  • Sample: 154 cities over a population benchmark of 100,000.

Measurement of Key Explanatory Variables
  • Rate of active gangs established via law enforcement surveys (Maxson, 1992).

  • Concentrated disadvantage index developed based on racial demographics and economic indicators.

  • Other structural covariates measured include unemployment and divorce rates.

Analysis of Homicide Offending in the United States

  • Total U.S. homicides (1993): 24,530 with per capita rate of 9.5 per 100,000 population.

  • Significant correlation between city size, race, and resource deprivation with homicide rates.

Regression Results

Models of Analysis
  • Multiple regression analyses considered within structured covariates, differentiating gang effects.

  • Gang presence yields significant, but modest statistical outcomes concerning urban homicide variations.

  • Findings relate to structural covariates denoting heightened homicide rates from concentrated disadvantage.

Discussion and Conclusions

  • Empirical evidence points to a modest association of gangs with urban homicide rates, inviting more complex understandings of gang roles beyond violence.

  • Calls for a reconsideration of local policies targeting gang suppression amidst ongoing economic and social dislocation.

Limitations
  • Acknowledges potential difficulties in accurately measuring active gang effects and reliance on varying data collection methodologies.

  • Emphasizes need for standardized measures across times to enhance research efficacy in understanding gang dynamics and urban violence.

Future Research Directions
  • Expansion on qualitative and quantitative assessments of gang influences on violence.

  • Consideration of socio-political structures to better frame gang-related interventions in crime policy settings.