Small-area Deprivation Measure for Brazil: Data Documentation

Allik, M. , Ramos, D., Agranonik, M., Junior, E., Ichihara, M. Y., Barreto, M. L., Dundas, R. and Leyland, A. (2020) Small-area Deprivation Measure for Brazil: Data Documentation. [Data Collection]

Collection description

This data set provides the first-small area deprivation measure for the whole of Brazil. The measure was developed for analysing and monitoring health inequalities in Brazil. It is based on the 2010 Brazilian Population Census, conducted by the Brazilian Institute of Geography and Statistics (IBGE), covering approximately 67 million households and 190 million people.1 The small-area deprivation measure data for Brazil is accompanied by a comprehensive technical report that describes the development of the deprivation measure (see related publications). Census sectors, the smallest census geographic areas, have been used as the units of analysis for the small-area deprivation measure. The data set includes 310,120 census sectors. The population size of the census sectors varies considerably, with some areas including very few people. Statistical disclosure control (SDC) has been applied by the IBGE and data for the smallest sectors is not available. This affects 6302 (2%) census sectors and approximately 0.2% of the total population surveyed by the census. Areas affected by SDC are not included in the deprivation measure. In addition, 600 further census sectors had to be removed from the analysis as they only included people living in communal residences and no private households. As a result, a deprivation measure is calculated for a total of 303,218 sectors

Funding:
College / School: College of Medical Veterinary and Life Sciences > School of Health and Wellbeing > MRC/CSO Unit
Date Deposited: 15 May 2020 09:03
URI: https://researchdata.gla.ac.uk/id/eprint/980

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Allik, M. , Ramos, D., Agranonik, M., Junior, E., Ichihara, M. Y., Barreto, M. L., Dundas, R. and Leyland, A. (2020); Small-area Deprivation Measure for Brazil: Data Documentation

University of Glasgow

DOI: 10.5525/gla.researchdata.980

Retrieved: 2024-04-19

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