Rafael Verão Françozo , Afonso Henriques Silva Leite , Leonardo Lopes Honda , Felipe Fernandes de Oliveira , Marcio Teixeira Oliveira , Calvin Rodrigues da Costa
{"title":"A dataset on the segregation of students with disabilities in Brazil","authors":"Rafael Verão Françozo , Afonso Henriques Silva Leite , Leonardo Lopes Honda , Felipe Fernandes de Oliveira , Marcio Teixeira Oliveira , Calvin Rodrigues da Costa","doi":"10.1016/j.dib.2024.110972","DOIUrl":null,"url":null,"abstract":"<div><div>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.</div></div>","PeriodicalId":10973,"journal":{"name":"Data in Brief","volume":"57 ","pages":"Article 110972"},"PeriodicalIF":1.0000,"publicationDate":"2024-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Data in Brief","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S235234092400934X","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"MULTIDISCIPLINARY SCIENCES","Score":null,"Total":0}
引用次数: 0
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.
期刊介绍:
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