A dataset on the segregation of students with disabilities in Brazil

The dataset provided shows the segregation rate between students with and without disabilities in Brazilian cities between 2008 and 2023. Student enrolment data was extracted from the microdata of the Brazilian school census. The segregation rate was calculated using the dissimilarity index, which quantifies how dissimilar or segregated two populations are. The dataset consists of a .csv file with the calculated data and thematic maps of the Brazilian states, highlighting the cities. This data can be useful for researchers in the field of inclusion and decision-makers to support the development of public policies that enable eliminate disparities in education and ensure equal access to all levels of education for the persons with disabilities.

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Institutions

Publication Details

Journal
Data in Brief
Published
2024-09-28
DOI
https://doi.org/10.1016/j.dib.2024.110972
Citations
2
Primary Topic
Disability Education and Employment
Type
article
Field-Weighted Citation Impact
1.05
Controls
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article

A dataset on the segregation of students with disabilities in Brazil

Afonso Henriques Silva Leite, Rafael Verão Françozo, Márcio Teixeira Oliveira, Leonardo Lopes Honda et al.
2 citations
Data in Brief
Disability Education and Employment
1.05
article

A dataset on the segregation of students with disabilities in Brazil

Afonso Henriques Silva Leite, Rafael Verão Françozo, Márcio Teixeira Oliveira, Leonardo Lopes Honda, F.F. de Oliveira, Calvin Rodrigues da Costa
article en
2 citations

Abstract

The dataset provided shows the segregation rate between students with and without disabilities in Brazilian cities between 2008 and 2023. Student enrolment data was extracted from the microdata of the Brazilian school census. The segregation rate was calculated using the dissimilarity index, which quantifies how dissimilar or segregated two populations are. The dataset consists of a .csv file with the calculated data and thematic maps of the Brazilian states, highlighting the cities. This data can be useful for researchers in the field of inclusion and decision-makers to support the development of public policies that enable eliminate disparities in education and ensure equal access to all levels of education for the persons with disabilities.

Data in BriefVol. 57
Universidade Federal de Mato Grosso do Sul (BR), Instituto Federal de Educação, Ciência e Tecnologia de Mato Grosso (BR), Universidade Federal de São Paulo (BR)
Reduced inequalities
Openalex Percentile: Top 18%
Disability Education and Employment
1.05
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