Araujo, Agnes Silva de;
Saraiva, Marcus Vinícius Pereira;
Barros, Joana;
Queiroz, Alfredo Pereira de;
(2023)
Harmonizing income classes from 2000 and 2010 Brazilian censuses.
Boletim de Ciências Geodésicas
, 29
(1)
, Article e2023002. 10.1590/s1982-21702023000100002.
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Abstract
Income variables from the Brazilian population census (IBGE) are often used as proxies for the population’s socioeconomic level in spatial analyses of urban segregation, inequality and social exclusion. However, income variables are dependent on reference values (minimum wage) that change over time, which can be challenging for multitemporal analysis. This paper discusses this issue and proposes a methodology to adjust income data that allows a meaningful comparison between the datasets of two Census periods. The methodology was applied to five medium-sized cities of the state of São Paulo by adjusting income data from Census 2000 and 2010 according to the period’s inflation rates. The analysis shows that the methodology mitigates the comparability issues. Results better reflect the changes in population composition and in residential patterns of different income groups that took place over the 2000s in Brazil in medium-sized cities.
Type: | Article |
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Title: | Harmonizing income classes from 2000 and 2010 Brazilian censuses |
Open access status: | An open access version is available from UCL Discovery |
DOI: | 10.1590/s1982-21702023000100002 |
Publisher version: | https://doi.org/10.1590/s1982-21702023000100002 |
Language: | English |
Additional information: | This content is licensed under a Creative Commons Attribution 4.0 International License. |
Keywords: | Brazilian population census (IBGE); income variables; multitemporal analysis; medium sized-cities; data harmonization |
UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of the Built Environment UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of the Built Environment > Centre for Advanced Spatial Analysis |
URI: | https://discovery-pp.ucl.ac.uk/id/eprint/10180163 |
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