Social Disorganization and Urban Homicide Rates: A Spatial-Temporal Analysis in São Paulo, Brazil 2000 to 2015

AuthorAmy Nivette,Maria Fernanda Tourinho Peres
Published date01 August 2022
Date01 August 2022
DOIhttp://doi.org/10.1177/10887679211010883
Subject MatterArticles
https://doi.org/10.1177/10887679211010883
Homicide Studies
2022, Vol. 26(3) 219 –243
© 2021 SAGE Publications
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DOI: 10.1177/10887679211010883
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Articles
Social Disorganization and
Urban Homicide Rates: A
Spatial-Temporal Analysis
in São Paulo, Brazil
2000 to 2015
Amy Nivette1 and Maria Fernanda Tourinho Peres2
Abstract
This study aims to contribute to understanding urban spatial and temporal patterns
of social disorganization and homicide rates in São Paulo, Brazil (2000–2015).
Using exploratory spatial data analysis and spatial panel regression techniques, we
describe spatial-temporal patterns of homicide rates and assess to what extent social
disorganization can explain between-district variation in homicide trajectories. The
results showed some variation in the pattern of homicide decline across districts, and
less disorganized communities experienced earlier, more linear declines. However,
we found no evidence to suggest that changes in social disorganization are associated
with differences in the decline in homicide rates.
Keywords
social disorganization, structural correlates, spatial analysis, homicide decline, trends,
mapping
In the past three decades, homicide rates have declined dramatically in cities across
much of the western world (Baumer & Wolff, 2014; Farrell et al., 2010; Goertzel et al.,
2013), but continue to rise in many parts of Latin America (Tuttle et al., 2018). Closer
examination of spatial and temporal variation in homicide rates reveals significant
heterogeneity between and within Latin American countries (Muggah et al., 2016).
1Department of Sociology, Utrecht University, The Netherlands
2Department of Preventive Medicine, University of São Paulo Medical School, Brazil
Corresponding Author:
Amy Nivette, Department of Sociology, Utrecht University, Padualaan 14, Utrecht 3584 CH,
The Netherlands.
Email: a.e.nivette@uu.nl
1010883HSXXXX10.1177/10887679211010883Homicide StudiesNivette and Peres
research-article2021
220 Homicide Studies 26(3)
In Brazil, where national homicide rates have risen steadily since 1980, the municipal-
ity of São Paulo has experienced a dramatic reversal and decline in the early 2000s
(Goertzel & Kahn, 2009). Between 2000 and 2007, the number of homicides fell by
78% (Freire, 2018). Known as the “great São Paulo homicide drop,” the case has been
the subject of scientific scrutiny and debate over the possible causes contributing to
the decline (De Mello & Schneider, 2010; Freire, 2018; Goertzel & Kahn, 2009;
Goertzel et al., 2013; Peres et al., 2012).
However, homicide rates are highly unequal across urban space (Baumer et al.,
2018; Ceccato et al., 2007; Cohen & Tita, 1999; Light & Harris, 2012; Ye & Wu,
2011). Spatial analyses suggest that homicide is concentrated in poorer, socially disor-
ganized neighborhoods within cities (Ceccato & Oberwittler, 2008; de Melo et al.,
2017; Escobar, 2012; Morenoff et al., 2001; Valasik et al., 2017; Zeoli et al., 2014).
Social disorganization refers to the process by which ecological conditions such as
poverty, high residential mobility, and poor living conditions weaken community
capacity to build ties and collectively regulate social norms (Kawachi et al., 1999;
Sampson & Groves, 1989; Sampson et al., 1997).
Despite this growing attention to variations in homicide declines in Latin American
cities, few studies have assessed the extent of variation at smaller spatial units of
analysis (Pereira et al., 2017). By assessing spatial-temporal patterns of homicide rates
within a single city, we will be better able to understand the uniformity of the decline
between districts, and disentangle the extent to which trends are driven by socio-eco-
nomic structural transformations compared to other shared underlying factors (Tuttle
et al., 2018). This study therefore aims to contribute to knowledge on urban spatial and
temporal patterns of social disorganization and homicide using the case study of São
Paulo. Specifically, we explore variation in temporal patterns of homicide rates
between districts in São Paulo, and assess to what extent trajectories can be explained
by social disorganization.
Social Disorganization and Homicide Rates
Researchers aiming to understand why crime is concentrated in poor urban communi-
ties typically draw on social disorganization theory (Shaw & McKay, 1942; Stults,
2010). Recent developments in social disorganization theory focus on how the struc-
tural characteristics of disadvantaged neighborhoods, such as residential instability
and poverty, disrupt the social ties, and networks necessary to foster informal social
control (Sampson & Groves, 1989; Sampson et al., 1997; Hipp & Wickes, 2017).
While there is ample cross-sectional evidence that residents in socially disorga-
nized communities are at higher risk for violent crime and homicide (e.g., Breetzke,
2010; de Melo et al., 2017; Hipp & Wickes, 2017; Pereira et al., 2017; Vilalta &
Muggah, 2014), evidence is less clear whether changes in social disorganization lead
to changes in homicide rates (Steenbeek & Hipp, 2011; Stults, 2010). Longitudinal
studies of social disorganization and violence are scarce (Wickes & Hipp, 2018). One
issue is that structural characteristics of neighborhoods are “remarkably stable” in
their relative ranking over time (Sampson & Morenoff, 2006, p. 199), particularly

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