Capital cities in the Northeast of Brazil: analysis of poverty indicators from census data 2010
Autor(a) principal: | |
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Data de Publicação: | 2021 |
Outros Autores: | |
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. |
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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 |