Racial and economic segregation in Brazil: a nationwide analysis of socioeconomic and socio-spatial inequalities

José Firmino de Sousa Filho, Sara Costa Pedeira, Gervásio F. dos Santos, Joanna M. N. Guimarães, Andrêa J. F. Ferreira, Flávia Jôse O. Alves, Gabrielle R. Nascimento, Aureliano S. S. Paiva, Roberto F. S. Andrade, Emanuelle F. Góes, Maurício L. Barreto, Estela M. L. Aquino
{"title":"Racial and economic segregation in Brazil: a nationwide analysis of socioeconomic and socio-spatial inequalities","authors":"José Firmino de Sousa Filho, Sara Costa Pedeira, Gervásio F. dos Santos, Joanna M. N. Guimarães, Andrêa J. F. Ferreira, Flávia Jôse O. Alves, Gabrielle R. Nascimento, Aureliano S. S. Paiva, Roberto F. S. Andrade, Emanuelle F. Góes, Maurício L. Barreto, Estela M. L. Aquino","doi":"10.20947/s0102-3098a0247","DOIUrl":null,"url":null,"abstract":"This article aims to analyze residential segregation by race (racial segregation) and income (economic segregation) in Brazil and explore its relationship with socioeconomic and socio-spatial factors. Residential segregation was assessed using the dissimilarity index based on the 2010 demographic census and considering urban census tracts since segregation is sociologically considered an urban problem. The results for racial segregation showed that it is more evident in cities in the South and Southeast of Brazil and mainly affects the self-declared black population. The approach used to calculate economic segregation involved examining the income level of different low-income groups. Therefore, we consider families that earned between 0 and 1 minimum wage as the group with the greatest social vulnerability. We did not find significant correlations between racial and income segregation indices with aspects such as urbanization (urban population size). Finally, we present the racial segregation indices stratifying families by income thresholds for the 27 Brazilian capitals and conclude that per capita household income is a preponderant factor for the segregation of the poorest, especially in families whose residents self-identify as black.","PeriodicalId":34910,"journal":{"name":"Revista Brasileira de Estudos de Populacao","volume":"135 14","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Revista Brasileira de Estudos de Populacao","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.20947/s0102-3098a0247","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"Social Sciences","Score":null,"Total":0}
引用次数: 0

Abstract

This article aims to analyze residential segregation by race (racial segregation) and income (economic segregation) in Brazil and explore its relationship with socioeconomic and socio-spatial factors. Residential segregation was assessed using the dissimilarity index based on the 2010 demographic census and considering urban census tracts since segregation is sociologically considered an urban problem. The results for racial segregation showed that it is more evident in cities in the South and Southeast of Brazil and mainly affects the self-declared black population. The approach used to calculate economic segregation involved examining the income level of different low-income groups. Therefore, we consider families that earned between 0 and 1 minimum wage as the group with the greatest social vulnerability. We did not find significant correlations between racial and income segregation indices with aspects such as urbanization (urban population size). Finally, we present the racial segregation indices stratifying families by income thresholds for the 27 Brazilian capitals and conclude that per capita household income is a preponderant factor for the segregation of the poorest, especially in families whose residents self-identify as black.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
巴西的种族和经济隔离:对社会经济和社会空间不平等的全国性分析
本文旨在分析巴西的种族(种族隔离)和收入(经济隔离)的居住隔离,并探讨其与社会经济和社会空间因素的关系。由于隔离在社会学上被认为是一个城市问题,因此使用基于2010年人口普查的差异指数并考虑城市人口普查区来评估居住隔离。种族隔离的结果表明,它在巴西南部和东南部的城市更为明显,主要影响到自称为黑人的人口。用来计算经济隔离的方法包括检查不同低收入群体的收入水平。因此,我们认为最低工资在0到1之间的家庭是社会脆弱性最大的群体。我们没有发现种族和收入隔离指数与城市化(城市人口规模)等方面存在显著相关性。最后,我们提出了按收入阈值对27个巴西首都的家庭进行分层的种族隔离指数,并得出结论,人均家庭收入是最贫困人口隔离的主要因素,特别是在居民自认为是黑人的家庭中。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
Revista Brasileira de Estudos de Populacao
Revista Brasileira de Estudos de Populacao Social Sciences-Demography
CiteScore
1.70
自引率
0.00%
发文量
39
审稿时长
13 weeks
期刊介绍: A Revista Brasileira de Estudos de População (Rebep) é o único periódico de âmbito nacional voltado exclusivamente para assuntos populacionais. Seu objetivo precípuo, desde sua criação, é estimular e difundir a produção brasileira no campo da demografia e dos Estudos de População e garantir o diálogo entre este campo e áreas afins.
期刊最新文献
Excesso de óbitos classificados com códigos garbage na pandemia de Covid-19, no estado da Paraíba Racial and economic segregation in Brazil: a nationwide analysis of socioeconomic and socio-spatial inequalities O impacto da mortalidade por causas externas na esperança de vida nos municípios produtores de petróleo da Bacia de Campos/RJ Análise comparativa de classificações de vulnerabilidade para municípios g100 Diferenciais regionais da mortalidade no Brasil: contribuição dos grupos etários e de causas de óbito sobre a variação da esperança de vida e da dispersão da idade à morte entre 2008 e 2018
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1