Capital cities in the Northeast of Brazil: analysis of poverty indicators from census data 2010

Detalhes bibliográficos
Autor(a) principal: Borgneth Petrus, Julia Katia
Data de Publicação: 2021
Outros Autores: Pereira Junior, Magno Vasconcelos
Tipo de documento: Artigo
Idioma: por
Título da fonte: Ateliê Geográfico
Texto Completo: https://revistas.ufg.br/atelie/article/view/64538
Resumo: This article seeks to understand Brazil's northeastern capital cities using variables obtained from the 2010 census data that indicate vulnerabilities, comparing the demographic dimension to the 2000 Census. The objective is to study variables and indicators that point to poverty. Firstly, the city was observed as a whole, and then contextualize the capitals/cities. It was possible to identify the most fragile capitals by means of nine variables. However, to find the Index of Socio-Spatial Inequality (IDSE), seven variables that indicate poverty in four dimensions were highlighted: Demographic Dimension; Infrastructure Dimension; Educational Dimension and Economic Dimension. The capital of São Luís has the most alarming indicators and variables, with an Index of Socio-Spatial Inequality - IDSE of 0.83, that is, the closer to 1, the greater the Socio-Spatial inequality. The capitals Salvador and Aracaju are the ones that show better indicators, with an IDSE of 0.42 and 0.39, respectively, indexes closer to 0, which is the absence of social inequality. Keywords: capital city. Northeast, social-spatial inequalities. indicators.
id UFG-5_d97eedfd182aac531470b6e58d0f0867
oai_identifier_str oai:ojs.revistas.ufg.br:article/64538
network_acronym_str UFG-5
network_name_str Ateliê Geográfico
repository_id_str
spelling Capital cities in the Northeast of Brazil: analysis of poverty indicators from census data 2010Capitales del Nordeste en Brasil: Análisis de indicadores de pobreza a partir de datos del censo de 2010Capitais Nordestinas do Brasil: análise de indicadores de pobreza a partir de dados censitários de 2010This article seeks to understand Brazil's northeastern capital cities using variables obtained from the 2010 census data that indicate vulnerabilities, comparing the demographic dimension to the 2000 Census. The objective is to study variables and indicators that point to poverty. Firstly, the city was observed as a whole, and then contextualize the capitals/cities. It was possible to identify the most fragile capitals by means of nine variables. However, to find the Index of Socio-Spatial Inequality (IDSE), seven variables that indicate poverty in four dimensions were highlighted: Demographic Dimension; Infrastructure Dimension; Educational Dimension and Economic Dimension. The capital of São Luís has the most alarming indicators and variables, with an Index of Socio-Spatial Inequality - IDSE of 0.83, that is, the closer to 1, the greater the Socio-Spatial inequality. The capitals Salvador and Aracaju are the ones that show better indicators, with an IDSE of 0.42 and 0.39, respectively, indexes closer to 0, which is the absence of social inequality. Keywords: capital city. Northeast, social-spatial inequalities. indicators.Este artículo investiga las capitales del nordeste de Brasil mediante variables que indican vulnerabilidades, obtenidas de datos censales de 2010, confrontando la dimensión demográfica con el Censo de 2000. El objetivo es estudiar variables e indicadores que apuntan pobreza en las capitales de la Región Nordeste. Además, se observó primero la ciudad en su conjunto, para luego contextualizar capitales/ciudades. Fue posible identificar las capitales más frágiles por medio de nueve variables, pero para encontrar el Índice de Desigualdad Socioespacial - IDSE, el estudio destacó siete variables que indican pobreza en cuatro dimensiones: Dimensión Demográfica; Dimensión de Infraestructura; Dimensión Educativa y Dimensión Económica. La capital de São Luís tiene los indicadores y variables más alarmantes, con el Índice de Desigualdad Socioespacial - IDSE de 0,83, es decir, cuanto más cerca de 1, mayor es la Desigualdad Socioespacial. Las capitales Salvador y Aracaju son las que apuntan los mejores indicadores, con IDSE de 0,42 y 0,39, respectivamente, índices más cercanos a 0, que es la ausencia de desigualdad social. Palabras clave: capital. Nordeste, desigualdad socioespacial. indicadores.Este artigo trata de conhecer as capitais nordestinas do Brasil mediante variáveis que indicam vulnerabilidades, obtidas de dados censitários de 2010, confrontando a dimensão demográfica com o Censo de 2000. O objetivo é estudar variáveis e indicadores que apontam pobreza nas capitais da Região Nordeste. Ademais, foi estudado, primeiramente a cidade como um todo, para, então, contextualizar capitais/cidades. Identificou-se as capitais mais fragilizadas por meio de nove variáveis, porém para encontrar o Índice de Desigualdade Socioespacial – IDSE, destacou-se sete variáveis que indicam pobreza em quatro dimensões: Dimensão Demográfica; Dimensão de Infraestrutura; Dimensão Educacional e Dimensão Econômica. A capital de São Luís é a que detém indicadores e variáveis mais alarmantes, com o Índice de Desigualdade Socioespacial – IDSE de 0,83, ou seja, quanto mais perto de 1, maior a desigualdade socioespacial. As capitais Salvador e Aracaju são as que apontam para melhores indicadores, com IDSE de 0,42 e 0,39, respectivamente, índices mais próximos de 0, que é ausência de desigualdade social. Palavras-chave: capital. Nordeste. desigualdade socioespacial. indicadores.Universidade Federal de Goiás2021-04-20info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://revistas.ufg.br/atelie/article/view/6453810.5216/ag.v15i1.64538Ateliê Geográfico Journal; Vol. 15 No. 1 (2021); 194-217Ateliê Geográfico; Vol. 15 Núm. 1 (2021); 194-217Ateliê Geográfico; v. 15 n. 1 (2021); 194-2171982-1956reponame:Ateliê Geográficoinstname:Universidade Federal de Goiás (UFG)instacron:UFGporhttps://revistas.ufg.br/atelie/article/view/64538/36962Copyright (c) 2021 Ateliê Geográficoinfo:eu-repo/semantics/openAccessBorgneth Petrus, Julia KatiaPereira Junior, Magno Vasconcelos2021-07-27T23:58:11Zoai:ojs.revistas.ufg.br:article/64538Revistahttps://www.revistas.ufg.br/ateliePUBhttps://www.revistas.ufg.br/atelie/oairevista.ateliegeografico@gmail.com || deniscastilho@hotmail.com || laracristineufg@yahoo.com.br1982-19561982-1956opendoar:2024-05-21T19:55:36.216175Ateliê Geográfico - Universidade Federal de Goiás (UFG)true
dc.title.none.fl_str_mv Capital cities in the Northeast of Brazil: analysis of poverty indicators from census data 2010
Capitales del Nordeste en Brasil: Análisis de indicadores de pobreza a partir de datos del censo de 2010
Capitais Nordestinas do Brasil: análise de indicadores de pobreza a partir de dados censitários de 2010
title Capital cities in the Northeast of Brazil: analysis of poverty indicators from census data 2010
spellingShingle Capital cities in the Northeast of Brazil: analysis of poverty indicators from census data 2010
Borgneth Petrus, Julia Katia
title_short Capital cities in the Northeast of Brazil: analysis of poverty indicators from census data 2010
title_full Capital cities in the Northeast of Brazil: analysis of poverty indicators from census data 2010
title_fullStr Capital cities in the Northeast of Brazil: analysis of poverty indicators from census data 2010
title_full_unstemmed Capital cities in the Northeast of Brazil: analysis of poverty indicators from census data 2010
title_sort Capital cities in the Northeast of Brazil: analysis of poverty indicators from census data 2010
author Borgneth Petrus, Julia Katia
author_facet Borgneth Petrus, Julia Katia
Pereira Junior, Magno Vasconcelos
author_role author
author2 Pereira Junior, Magno Vasconcelos
author2_role author
dc.contributor.author.fl_str_mv Borgneth Petrus, Julia Katia
Pereira Junior, Magno Vasconcelos
description This article seeks to understand Brazil's northeastern capital cities using variables obtained from the 2010 census data that indicate vulnerabilities, comparing the demographic dimension to the 2000 Census. The objective is to study variables and indicators that point to poverty. Firstly, the city was observed as a whole, and then contextualize the capitals/cities. It was possible to identify the most fragile capitals by means of nine variables. However, to find the Index of Socio-Spatial Inequality (IDSE), seven variables that indicate poverty in four dimensions were highlighted: Demographic Dimension; Infrastructure Dimension; Educational Dimension and Economic Dimension. The capital of São Luís has the most alarming indicators and variables, with an Index of Socio-Spatial Inequality - IDSE of 0.83, that is, the closer to 1, the greater the Socio-Spatial inequality. The capitals Salvador and Aracaju are the ones that show better indicators, with an IDSE of 0.42 and 0.39, respectively, indexes closer to 0, which is the absence of social inequality. Keywords: capital city. Northeast, social-spatial inequalities. indicators.
publishDate 2021
dc.date.none.fl_str_mv 2021-04-20
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://revistas.ufg.br/atelie/article/view/64538
10.5216/ag.v15i1.64538
url https://revistas.ufg.br/atelie/article/view/64538
identifier_str_mv 10.5216/ag.v15i1.64538
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv https://revistas.ufg.br/atelie/article/view/64538/36962
dc.rights.driver.fl_str_mv Copyright (c) 2021 Ateliê Geográfico
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2021 Ateliê Geográfico
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Universidade Federal de Goiás
publisher.none.fl_str_mv Universidade Federal de Goiás
dc.source.none.fl_str_mv Ateliê Geográfico Journal; Vol. 15 No. 1 (2021); 194-217
Ateliê Geográfico; Vol. 15 Núm. 1 (2021); 194-217
Ateliê Geográfico; v. 15 n. 1 (2021); 194-217
1982-1956
reponame:Ateliê Geográfico
instname:Universidade Federal de Goiás (UFG)
instacron:UFG
instname_str Universidade Federal de Goiás (UFG)
instacron_str UFG
institution UFG
reponame_str Ateliê Geográfico
collection Ateliê Geográfico
repository.name.fl_str_mv Ateliê Geográfico - Universidade Federal de Goiás (UFG)
repository.mail.fl_str_mv revista.ateliegeografico@gmail.com || deniscastilho@hotmail.com || laracristineufg@yahoo.com.br
_version_ 1799874837310603264

Registros relacionados