City-Level Violent Crime Trends and Racial-Ethnic Income Inequality

Published date01 February 2024
DOIhttp://doi.org/10.1177/10439862231189986
AuthorKelsey Cundiff
Date01 February 2024
https://doi.org/10.1177/10439862231189986
Journal of Contemporary Criminal Justice
2024, Vol. 40(1) 48 –64
© The Author(s) 2023
Article reuse guidelines:
sagepub.com/journals-permissions
DOI: 10.1177/10439862231189986
journals.sagepub.com/home/ccj
Article
City-Level Violent Crime
Trends and Racial-Ethnic
Income Inequality
Kelsey Cundiff1
Abstract
Within the crime trends literature, there exist several notable studies that have
examined the linkages between various economic measures and trends in violent
and property crime. This research expands on that literature by examining whether
and to what extent racial income gaps are related to changes in city-level crime.
Pulling together data from the Uniform Crime Report, U.S. Census, and American
Community Survey, this project focuses on homicide and violent crime trends of
73 cities from 2006 to 2020 and changes in city-level racial-ethnic income gaps.
This study employs a series of multilevel longitudinal models to measure whether
changes in this income gap, whether widening or constricting, are related to changes
in rates of violent crime and homicide both within and between cities. Results find
that changes in any of the racial-ethnic income gaps tested are not related to trends
in violent crime and homicide within or between cities. However, the inclusion of the
White-Hispanic income gap and total income gap explained sizable portions of the
between-city and within-city rates of violence and homicide.
Keywords
violent crime, income inequality, race and ethnicity
Introduction
Many prior studies have found evidence linking economic conditions to crime rates on
a variety of levels (i.e., city, county, and country) and across many different periods of
time (Lauritsen & Heimer, 2010; Rosenfeld, 2009; Rosenfeld & Fornango, 2007;
1University of Missouri–St. Louis, USA
Corresponding Author:
Kelsey Cundiff, Department of Criminology and Criminal Justice, University of Missouri–St. Louis, St.
Louis, MO 63121, USA.
Email: kcundiff@umsl.edu
1189986CCJXXX10.1177/10439862231189986Journal of Contemporary Criminal JusticeCundi
research-article2023
Cundiff 49
Rosenfeld & Messner, 2009). Research has examined measures of income inequality,
poverty, consumer sentiment, and other measures of socioeconomic status, generally
finding evidence of relationships between these measures and levels of crime (Pratt &
Cullen, 2005). However, the prior research has largely used measures that look at the
populations of the geographic unit of analysis as a whole. But when examining eco-
nomic measures especially, overarching measures mask any potential nuance in these
measures between individuals. There are well-documented wealth gaps across differ-
ent demographic characteristics, but race and ethnicity are especially glaring.
In the United States specifically, the wealth gap between White and Black individu-
als is well documented (Shapiro et al., 2013). Scholars point to several contributing
factors to the persistent gaps in wealth, such as income, assets, home ownership, and
generational wealth (Conley, 2001; Shapiro et al., 2013). Within criminological
research, several studies have found that criminal justice contact and disparate sen-
tence lengths and associated fines have also added to this wealth gap (Sykes & Maroto,
2016). However, research has not yet examined whether the gap itself can contribute
to offending behaviors.
Research on income inequality and its relationship to different types of crime has
been mixed. While the relationship between socioeconomic status and crime has been
repeatedly established (Pratt & Cullen, 2005), the underlying mechanisms driving this
relationship are not as settled. Some work argues that it is instead levels of economic
inequality, rather than measures of absolute poverty, that are most important, drawing
on theory related to relative deprivation and anomie (Ouimet, 2012; Savolainen, 2000).
Other work has found that measures of levels of poverty (i.e., poverty indices and infant
mortality rate) are more strongly linked to rates of crime than indicators of economic
inequality (Pare & Felson, 2014; Pridemore, 2008, 2011). Regardless of the argument,
race and/or ethnicity is most commonly included only as a control variable in this prior
work and rarely pulled out to be examined in the main part of the analysis.
This study seeks to incorporate race, ethnicity, and economic indicators together to
explain changing trends in city-level violent crime. Specifically, this study examines
whether changes in the size of racial-ethnic income gaps over time are associated with
changing homicide and violent crime rates within a city. In addition, this study assesses
whether differences across cities in racial-ethnic income gaps can explain between-
city differences in rates of violent crime and homicide. While most of the prior research
in racial income inequality focuses on Black-White comparisons, this study incorpo-
rates comparisons with Hispanic and Asian populations as well. The article first details
the prior research and theory related to racial-ethnic income gaps and racial-ethnic
wealth gaps more broadly and the relationship between economic factors and crime.
Then, the analysis and results are presented and discussed.
Background
Prior research on racial-ethnic wealth gaps within the context of the United States has
primarily focused on the gap between Black and White individuals. This Black–White
gap has increased over time, with one study showing a near tripling of the wealth gap

Get this document and AI-powered insights with a free trial of vLex and Vincent AI

Get Started for Free

Start Your 3-day Free Trial of vLex and Vincent AI, Your Precision-Engineered Legal Assistant

  • Access comprehensive legal content with no limitations across vLex's unparalleled global legal database

  • Build stronger arguments with verified citations and CERT citator that tracks case history and precedential strength

  • Transform your legal research from hours to minutes with Vincent AI's intelligent search and analysis capabilities

  • Elevate your practice by focusing your expertise where it matters most while Vincent handles the heavy lifting

vLex

Start Your 3-day Free Trial of vLex and Vincent AI, Your Precision-Engineered Legal Assistant

  • Access comprehensive legal content with no limitations across vLex's unparalleled global legal database

  • Build stronger arguments with verified citations and CERT citator that tracks case history and precedential strength

  • Transform your legal research from hours to minutes with Vincent AI's intelligent search and analysis capabilities

  • Elevate your practice by focusing your expertise where it matters most while Vincent handles the heavy lifting

vLex

Start Your 3-day Free Trial of vLex and Vincent AI, Your Precision-Engineered Legal Assistant

  • Access comprehensive legal content with no limitations across vLex's unparalleled global legal database

  • Build stronger arguments with verified citations and CERT citator that tracks case history and precedential strength

  • Transform your legal research from hours to minutes with Vincent AI's intelligent search and analysis capabilities

  • Elevate your practice by focusing your expertise where it matters most while Vincent handles the heavy lifting

vLex

Start Your 3-day Free Trial of vLex and Vincent AI, Your Precision-Engineered Legal Assistant

  • Access comprehensive legal content with no limitations across vLex's unparalleled global legal database

  • Build stronger arguments with verified citations and CERT citator that tracks case history and precedential strength

  • Transform your legal research from hours to minutes with Vincent AI's intelligent search and analysis capabilities

  • Elevate your practice by focusing your expertise where it matters most while Vincent handles the heavy lifting

vLex

Start Your 3-day Free Trial of vLex and Vincent AI, Your Precision-Engineered Legal Assistant

  • Access comprehensive legal content with no limitations across vLex's unparalleled global legal database

  • Build stronger arguments with verified citations and CERT citator that tracks case history and precedential strength

  • Transform your legal research from hours to minutes with Vincent AI's intelligent search and analysis capabilities

  • Elevate your practice by focusing your expertise where it matters most while Vincent handles the heavy lifting

vLex

Start Your 3-day Free Trial of vLex and Vincent AI, Your Precision-Engineered Legal Assistant

  • Access comprehensive legal content with no limitations across vLex's unparalleled global legal database

  • Build stronger arguments with verified citations and CERT citator that tracks case history and precedential strength

  • Transform your legal research from hours to minutes with Vincent AI's intelligent search and analysis capabilities

  • Elevate your practice by focusing your expertise where it matters most while Vincent handles the heavy lifting

vLex