Racial and socioeconomic segregation: an analysis of three Brazilian Metropolitan areas

Detalhes bibliográficos
Autor(a) principal: de Lima Amaral, Ernesto Friedrich
Data de Publicação: 2013
Tipo de documento: Artigo
Idioma: por
Título da fonte: Redes (Santa Cruz do Sul. Online)
Texto Completo: https://online.unisc.br/seer/index.php/redes/article/view/2680
Resumo: Brazil is characterized by racial and socioeconomic segregation. The objective of the research presented here is to analyze socioeconomic and racial segregation in three metropolitan areas (Recife, Belo Horizonte and Porto Alegre). Microdata from the 2000 Brazilian Census was used for this analysis, as well as maps produced for the selected areas by groups of census tracts (áreas de ponderação), using Geographic Information Systems techniques. In general, results indicate that among those areas with a majority of whites, a high proportion of the population holds at least high school degree. Moreover, the nonwhite population lives farther away from the core of the municipality, compared to whites. Finally, whites tend to live in less elevated areas with more public infrastructure and a greater availability of major roads. An improvement to this research could be the inclusion of spatial analysis and statistical models to better understand the relationship between race and socioeconomic indicators.
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spelling Racial and socioeconomic segregation: an analysis of three Brazilian Metropolitan areasRacial and socioeconomic segregation: an analysis of three Brazilian Metropolitan areasRacial segregation. Socioeconomic segregation. Metropolitan areas. Brazil.Racial segregationSocioeconomic segregationMetropolitan areasBrazilBrazil is characterized by racial and socioeconomic segregation. The objective of the research presented here is to analyze socioeconomic and racial segregation in three metropolitan areas (Recife, Belo Horizonte and Porto Alegre). Microdata from the 2000 Brazilian Census was used for this analysis, as well as maps produced for the selected areas by groups of census tracts (áreas de ponderação), using Geographic Information Systems techniques. In general, results indicate that among those areas with a majority of whites, a high proportion of the population holds at least high school degree. Moreover, the nonwhite population lives farther away from the core of the municipality, compared to whites. Finally, whites tend to live in less elevated areas with more public infrastructure and a greater availability of major roads. An improvement to this research could be the inclusion of spatial analysis and statistical models to better understand the relationship between race and socioeconomic indicators.Brazil is characterized by racial and socioeconomic segregation. The objective of the research presented here is to analyze socioeconomic and racial segregation in three metropolitan areas (Recife, Belo Horizonte and Porto Alegre). Microdata from the 2000 Brazilian Census was used for this analysis, as well as maps produced for the selected areas by groups of census tracts (áreas de ponderação), using Geographic Information Systems techniques. In general, results indicate that among those areas with a majority of whites, a high proportion of the population holds at least high school degree. Moreover, the nonwhite population lives farther away from the core of the municipality, compared to whites. Finally, whites tend to live in less elevated areas with more public infrastructure and a greater availability of major roads. An improvement to this research could be the inclusion of spatial analysis and statistical models to better understand the relationship between race and socioeconomic indicators. Keywords: Racial segregation; socioeconomic segregation; metropolitan areas; Brazil.Edunisc - Universidade de Santa Cruz do Sul2013-05-03info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://online.unisc.br/seer/index.php/redes/article/view/268010.17058/redes.v18i1.2680Redes ; Vol. 18 No. 1 (2013); 248-262Redes; Vol. 18 Núm. 1 (2013); 248-262Redes; Vol. 18 No. 1 (2013); 248-262Redes; v. 18 n. 1 (2013); 248-2621982-6745reponame:Redes (Santa Cruz do Sul. Online)instname:Universidade de Santa Cruz do Sul (UNISC)instacron:UNISCporhttps://online.unisc.br/seer/index.php/redes/article/view/2680/2510de Lima Amaral, Ernesto Friedrichinfo:eu-repo/semantics/openAccess2019-10-03T17:47:14Zoai:ojs.online.unisc.br:article/2680Revistahttp://online.unisc.br/seer/index.php/redeshttp://online.unisc.br/seer/index.php/redes/oairedes_unisc_maff@terra.com.br||etges@unisc.br1982-67451414-7106opendoar:2019-10-03T17:47:14Redes (Santa Cruz do Sul. Online) - Universidade de Santa Cruz do Sul (UNISC)false
dc.title.none.fl_str_mv Racial and socioeconomic segregation: an analysis of three Brazilian Metropolitan areas
Racial and socioeconomic segregation: an analysis of three Brazilian Metropolitan areas
title Racial and socioeconomic segregation: an analysis of three Brazilian Metropolitan areas
spellingShingle Racial and socioeconomic segregation: an analysis of three Brazilian Metropolitan areas
de Lima Amaral, Ernesto Friedrich
Racial segregation. Socioeconomic segregation. Metropolitan areas. Brazil.
Racial segregation
Socioeconomic segregation
Metropolitan areas
Brazil
title_short Racial and socioeconomic segregation: an analysis of three Brazilian Metropolitan areas
title_full Racial and socioeconomic segregation: an analysis of three Brazilian Metropolitan areas
title_fullStr Racial and socioeconomic segregation: an analysis of three Brazilian Metropolitan areas
title_full_unstemmed Racial and socioeconomic segregation: an analysis of three Brazilian Metropolitan areas
title_sort Racial and socioeconomic segregation: an analysis of three Brazilian Metropolitan areas
author de Lima Amaral, Ernesto Friedrich
author_facet de Lima Amaral, Ernesto Friedrich
author_role author
dc.contributor.author.fl_str_mv de Lima Amaral, Ernesto Friedrich
dc.subject.por.fl_str_mv Racial segregation. Socioeconomic segregation. Metropolitan areas. Brazil.
Racial segregation
Socioeconomic segregation
Metropolitan areas
Brazil
topic Racial segregation. Socioeconomic segregation. Metropolitan areas. Brazil.
Racial segregation
Socioeconomic segregation
Metropolitan areas
Brazil
description Brazil is characterized by racial and socioeconomic segregation. The objective of the research presented here is to analyze socioeconomic and racial segregation in three metropolitan areas (Recife, Belo Horizonte and Porto Alegre). Microdata from the 2000 Brazilian Census was used for this analysis, as well as maps produced for the selected areas by groups of census tracts (áreas de ponderação), using Geographic Information Systems techniques. In general, results indicate that among those areas with a majority of whites, a high proportion of the population holds at least high school degree. Moreover, the nonwhite population lives farther away from the core of the municipality, compared to whites. Finally, whites tend to live in less elevated areas with more public infrastructure and a greater availability of major roads. An improvement to this research could be the inclusion of spatial analysis and statistical models to better understand the relationship between race and socioeconomic indicators.
publishDate 2013
dc.date.none.fl_str_mv 2013-05-03
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dc.identifier.uri.fl_str_mv https://online.unisc.br/seer/index.php/redes/article/view/2680
10.17058/redes.v18i1.2680
url https://online.unisc.br/seer/index.php/redes/article/view/2680
identifier_str_mv 10.17058/redes.v18i1.2680
dc.language.iso.fl_str_mv por
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dc.relation.none.fl_str_mv https://online.unisc.br/seer/index.php/redes/article/view/2680/2510
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
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dc.publisher.none.fl_str_mv Edunisc - Universidade de Santa Cruz do Sul
publisher.none.fl_str_mv Edunisc - Universidade de Santa Cruz do Sul
dc.source.none.fl_str_mv Redes ; Vol. 18 No. 1 (2013); 248-262
Redes; Vol. 18 Núm. 1 (2013); 248-262
Redes; Vol. 18 No. 1 (2013); 248-262
Redes; v. 18 n. 1 (2013); 248-262
1982-6745
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repository.name.fl_str_mv Redes (Santa Cruz do Sul. Online) - Universidade de Santa Cruz do Sul (UNISC)
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