Relação entre homicídios e indicadores econômicos em São Paulo, Brasil, 1996

Bibliographic Data

ID14965377
AuthorsRita Barradas Barata (0000-0002-7215-9788, Faculdade de Ciências Médicas da Santa Casa de São Paulo, corresponding author), Manoel Carlos Sampaio De Almeida Ribeiro (0000-0001-6827-4874)
Year2000
Volume7
Issue2
Pages118-124
Publication date2000-02-01
Open AccessYes
TypeARTICLE
VenueRevista Panamericana de Salud Pública (JOURNAL)
Journal identifiersISSN: 1020-4989 • E-ISSN: 1680-5348
PublisherFapUNIFESP (SciELO) (PUBLISHER)
DOI10.1590/s1020-49892000000200008
PMID10748663
OpenAlexW2117686501
SciELOS1020-49892000000200008
LanguagePT
Citations received15
References cited9

Around 30% of the deaths due to violent causes in Brazil result from homicides. Violence has traditionally been related to larger social problems, such as poverty. Recently, however, a positive correlation has been observed between higher incomes and an increase in the homicide rate, so that some researchers have begun to consider inequality, rather than poverty, as an explanation for the epidemic of violence. The objective of this study was to investigate the correlation between urbanization, poverty, and economic inequality and homicide rates in the state of São Paulo, Brazil, in 1996. Information regarding population size, average monthly income of household heads, income distribution, and Gini index was obtained for each municipality, based on the demographic census. Homicide rates were calculated based on official data. Data were analyzed in terms of correlation and relative risk with 95% confidence intervals. Homicide rates rose in direct proportion to city population and ranged from 6.96 (per 100,000 inhabitants) in municipalities with a population smaller than 10,000 inhabitants, to 55.54 in municipalities with more than 1 million inhabitants. Relative risk ranged from 1.35 to 7.98. A significant correlation with population size was found only for incomes above 3.11 times the minimum wage and a Gini index greater than 0.50. There was a strong, direct, and significant correlation between homicide rates and the income ratio between the ninetieth and the twentieth percentiles of the population. It is necessary to probe more deeply into the macrosocial determinants of homicide rates in order to identify indicators of inequality that can generate meaningful data for developing public health strategies

Census · Economic growth · Economic inequality · Economics · Environmental health · Geography · Gini coefficient · Homicide · Inequality · Injury prevention · Poison control · Population · Poverty · Socioeconomics · Sociology · Demography · Food Security and Health in Diverse Populations · Health disparities and outcomes · Homelessness and Social Issues · Mathematics · Medicine

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