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The Cost of Inequality: Metropolitan Structure and Violent Crime
Abstract
The hypothesis tested is that variations in rates of urban criminal violence largely result from differences in racial inequality in socioeconomic conditions. Data on the 125 largest American metropolitan areas (SMSAs) are used to ascertain whether this hypothesis can account for three correlates of violent crime differently interpreted in the literature. Criminal violence is positively related to location in the South, which has been interpreted as the result of the Southern tradition of violence. It is positively related to the proportion of blacks in an SMSA, which has been interpreted as reflecting a subculture of violence in ghettos. And it is positively related to poverty, which has been interpreted as the emphasis on toughness and excitement in the culture of poverty. The analysis reveals that socioeconomic inequality between races, as well as economic inequality generally, increases rates of criminal violence, but once economic inequalities are controlled poverty no longer influences these rates, neither does Southern location, and the proportion of blacks in the population hardly does. These results imply that if there is a culture of violence, its roots are pronounced economic inequalities, especially if associated with ascribed position.
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“a major contributing factor to patterns of police officers ' attitudes and behaviors, including the use of force, complaints against the police, or injuries in the line of duty, is the institutional subculture (Blau and Blau 1982; Galliher 1971; Herbert 1998; Sherman 1980; Waddington 1999).”
From Paradoxical effects of self-awareness of being observed: testing the effect of police body-worn cameras on assaults and aggression against officers (2018) · cites this paper as Blau and Blau 1982
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“Blau and Blau (1982) argue that economic inequality is at the root of violent crime in the United States. In their findings, the role of variables such as poverty in explaining crime is outweighed by the predictive power of inequality. In this same line of work, Kelly (2000) finds that, in urban areas in the United St…”
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Labor Stratification and Violent Crime
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Broadband Internet: An Information Superhighway to Sex Crime?
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NEIGHBORHOOD CHANGES IN ECOLOGY AND VIOLENCE*
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Social Structure and Criminal Victimization
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Poverty Matters: A Reassessment of the Inequality-Homicide Relationship in Cross-National Studies
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“Conversely, though often discussed and tested at the macro level, inequality normally is tied theoretically to violence via individual-level explanations (Chamlin and Cochran 2005), usually as an outcome of frustration resulting from the unfair distribution of resources (Blau and Blau 1982).”
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SOCIAL ECOLOGY AND RECIDIVISM: IMPLICATIONS FOR PRISONER REENTRY*
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Race and Criminal Violence: A Demographically Disaggregated Analysis of Urban Homicide
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Mears, D. P., & Bhati, A. S. (2006) · Criminology · doi:10.1111/j.1745-9125.2006.00056.x · Cited by 183
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ASSESSING MESSNER AND ROSENFELD'S INSTITUTIONAL ANOMIE THEORY: A PARTIAL TEST*
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STRUCTURAL POSITION AND VIOLENCE: DEVELOPING A CULTURAL EXPLANATION*
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Southern Exposure: Deciphering the South's Influence on Homicide Rates
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“Many researchers have found that population is closely related to crime rates (Price 1966; Blau and Blau 1982; Jackson 1984).”
BackgroundVillarreal, A. (2002) · American Sociological Review · doi:10.1177/000312240206700401 · Cited by 171
The Legacy of Lynching and Southern Homicide
Messner, S. F., Baller, R. D., & Zevenbergen, M. P. (2005) · American Sociological Review · doi:10.1177/000312240507000405 · Cited by 167
McCall, P. L., Land, K. C., & Parker, K. F. (2010) · Homicide Studies · doi:10.1177/1088767910371166 · Cited by 166
“Racial Inequality and Racial Composition The influential work of Blau and Blau (1982) spurred a host of studies exploring the nature of inequality and racial inequality, in particular, and its relation to criminal offending.”
BackgroundUnpacking the Inequality Paradox: The Psychological Roots of Inequality and Social Class
Piff, P. K., Kraus, M. W., & Keltner, D. J. (2017) · Advances in experimental social psychology · doi:10.1016/bs.aesp.2017.10.002 · Cited by 181
“…is the highest, even when controlling for population density, percentage of residents in poverty, family composition, and racial composition (Blau & Blau, 1982; Enamorado, López-Calva, Rodrı́guez-Castelán, & Winkler, 2016), patterns that speak to a specific association between inequality…”
BackgroundFour Theories of Rape: A Macrosociological Analysis
Baron, L., & Straus, M. A. (1987) · Social Problems · doi:10.2307/800542 · Cited by 161
Racial Discrimination: A Continuum of Violence Exposure for Children of Color
Sanders-Phillips, K. (2009) · Clinical Child and Family Psychology Review · doi:10.1007/s10567-009-0053-4 · Cited by 158
“…and hopelessness, develops when children living in social and economic adversity experience inequalities in quality of life and perceive contradictions between opportunities in the larger society and the conditions and lack of opportunity in their own lives (Blau and Blau 1982; Burr et al. 1999).”
BackgroundDECLINING VIOLENT CRIME RATES IN THE 1990S: Predicting Crime Booms and Busts
Lafree, G. D. (1999) · Annual Review of Sociology · doi:10.1146/annurev.soc.25.1.145 · Cited by 158
Chamberlain, A. W., & Hipp, J. R. (2015) · Journal of Criminal Justice · doi:10.1016/j.jcrimjus.2015.08.004 · Cited by 155
Chamlin, M. B., & Cochran, J. K. (1997) · Criminology · doi:10.1111/j.1745-9125.1997.tb00875.x · Cited by 158
Alves, L. G. A., Ribeiro, H. V., Lenzi, E. K., & Mendes, R. S. (2013) · PLoS ONE · doi:10.1371/journal.pone.0069580 · Cited by 154
“Most of these papers employ regression analysis, where the dependent variable is the crime indicator (usually the number of a particular crime act) and the independent variables are urban indicators [24–33].”
BackgroundIncome inequality, poverty and crime across nations
Paré, P., & Felson, R. B. (2014) · British Journal of Sociology · doi:10.1111/1468-4446.12083 · Cited by 165
Testing the Economic Production and Conflict Models of Crime Control
Liska, A. E., Chamlin, M. B., & Reed, M. D. (1985) · Social Forces · doi:10.1093/sf/64.1.119 · Cited by 152
Structural Determinants of Intergroup Association: Interracial Marriage and Crime
South, S. J., & Messner, S. F. (1986) · American Journal of Sociology · doi:10.1086/228427 · Cited by 151
RACE AND CRIME IN POSTWAR AMERICA: DETERMINANTS OF AFRICAN‐AMERICAN AND WHITE RATES, 1957–1988*
Lafree, G. D., Drass, K. A., & O'DAY, P. (1992) · Criminology · doi:10.1111/j.1745-9125.1992.tb01101.x · Cited by 149
Disentangling community-level changes in crime trends during the COVID-19 pandemic in Chicago
Campedelli, G. M., Favarin, S., Aziani, A., & Piquero, A. R. (2020) · Crime Science · doi:10.1186/s40163-020-00131-8 · Cited by 159
“Events are rather clustered and follow specific patterns based on social, economic, demographic and ecological characteristics of the environment (Merton 1938; Shaw and McKay 1942; Gibbs and Erickson 1976; Blau and Blau 1982; Sampson and Lauritsen 1994; Papachristos et al.”
Background
Metadata
- Authors
- Blau, J. R., & Blau, P. M.
- Venue
- American Sociological Review
- Publisher
- SAGE Publications
- Published
- 1982-02
- Volume
- 47
- Issue
- 1
- Pages
- 114
- ISSN
- 0003-1224 (ISSN-L)
- OpenAlex
- W1998194071
- Cited by
- 1,500
- References
- 38
- Citations by year
- 2026: 54 · 2025: 34 · 2024: 27 · 2023: 45 · 2022: 42 · 2021: 40 · 2020: 35 · 2019: 46 · 2018: 40 · 2017: 57 · 2016: 38 · 2015: 55 · 2014: 55 · 2013: 45 · 2012: 41
- FWCI
- 99.17
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- American Sociological Review (publishedVersion)
- Topics
- Social Sciences › Sociology and Political Science › Crime Patterns and Interventions
- Social Sciences › Sociology and Political Science › Urban, Neighborhood, and Segregation Studies
- Social Sciences › Sociology and Political Science › Criminal Justice and Corrections Analysis
- Keywords
- violent crime, racial inequality, socioeconomic disparities, metropolitan structure, Southern United States, Black population, poverty, culture of poverty, subculture of violence, ascribed status
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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