Indigenous homicide in Brazil: geospatial mapping and secondary data analysis (2010 to 2014)
Homicídios indígenas no Brasil: mapeamento e análise de dados secundários (2010 a 2014)
Ciênc. Saúde Colet. (Impr.); 24 (7), 2019
Publication year: 2019
Abstract This study aimed to describe a panorama of Indigenous homicide in Brazil, analysing the main characteristics and territorial distribution between 2010 and 2014. Demographic study of Indigenous population data obtained from the Brazilian Institute of Geography and Statistics and Indigenous homicide data (2010-2014) from the Ministry of Health. Data were analysed using descriptive statistics, victims' characteristics, type of homicides and geographical distribution, which were then plotted on maps using ArcGIS.
Findings revealed:
1) a national estimated average of Indigenous homicide rate of 22.5 per 100,000 Indigenous inhabitants per year; 2) a map showing where homicides were registered and the mean homicide rates for Brazilian regions and states, with highest rates in Roraima and Mato Grosso do Sul; 3) the main homicide method were sharp or penetrating objects; 4) Indigenous male homicide rate was 2.4 times higher than female, but Indigenous female rate was more than double that of non-Indigenous; 5) high homicide rates of Indigenous children (under 1-year-old) in areas of the states of Roraima and Amazonas. We advise careful consideration of Indigenous cultural beliefs to avoid errors of judgement, reflecting how Indigenous populations are at risk of homicide in some areas.
Resumo Objetivou-se descrever um panorama dos homicídios indígenas no Brasil, analisando suas características e distribuição territorial entre 2010 e 2014. Estudo demográfico com dados da população indígena (Instituto Brasileiro de Geografia e Estatística) e homicídios indígenas (Ministério da Saúde). Os dados foram analisados utilizando estatística descritiva, estabelecendo características das vítimas, tipos de homicídio e distribuição geográfica, que foram então plotados em mapas usando ArcGIS.