Journal article
Inequality and income segregation in Brazilian cities: a nationwide analysis
SN Social Sciences, v 2(9), pp 191-191
10 Sep 2022
PMID: 36105865
Abstract
Residential segregation has brought significant challenges to cities worldwide and has important implications for health. This study aimed to assess income segregation in the 152 largest Brazilian cities in the SALURBAL Project. We identify specific socioeconomic characteristics related to residential segregation by income using the Brazilian demographic census of 2010 and calculated the income dissimilarity index (IDI) at the census tract level for each city, subsequently comparing it with Gini and other local socioeconomic variables. We evaluated our results’ robustness using a bootstrap correction to the IDI to examine the consequences of using different income cut-offs in substantial urban and regional inequalities. We identified a two minimum wage cut-off as the most appropriate. We found little evidence of upward bias in the calculation of the IDI regardless of the cut-off used. Among the ten most segregated cities, nine are in the Northeast region, with Brazil's highest income inequality and poverty. Our results indicate that the Gini index and poverty are the main variables associated with residential segregation.
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6 citations in Scopus
Details
- Title
- Inequality and income segregation in Brazilian cities: a nationwide analysis
- Creators
- José Firmino de Sousa Filho - Universidade Federal da BahiaGervásio F. dos Santos - Universidade Federal da BahiaRoberto F. Silva Andrade - Universidade Federal da BahiaAureliano S. Paiva - Universidade Federal da BahiaAnderson Freitas - Knowledge Integration (United Kingdom)Caio Porto Castro - Universidade Federal da BahiaAmélia A. de Lima Friche - Observatory for Urban Health in Belo Horizonte (OSUBH), Federal University of Minas GeraisSharrelle Barber - Drexel UniversityWaleska T. Caiaffa - Observatory for Urban Health in Belo Horizonte (OSUBH), Federal University of Minas GeraisMaurício L. Barreto - Universidade Federal da Bahia
- Publication Details
- SN Social Sciences, v 2(9), pp 191-191
- Publisher
- Springer International Publishing
- Grant note
- 205177/Z/16/Z / Wellcome Trust (http://dx.doi.org/10.13039/100004440)
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Urban Health Collaborative
- Scopus ID
- 2-s2.0-85156087675
- Other Identifier
- 991020100181504721