Spatial data representation and estimation of sociodemographic data based on ZIP Code: an application for Belo Horizonte, MG

Abstract

The paper proposes a methodology of spatialized socioeconomic and demographic data representation that minimizes the effects of scale and zoning and allows greater spatial resolution and temporal detailing and guarantees the confidentiality of information. The data was processed at the scale of public places (streets and avenues) based on their Postal Address Code – CEP. Subsequently, an interpolated grid representing densities was developed, with fixed spatial resolution. As an example of this methodology, two indicators were used for the years 2016, 2019 and 2021 obtained from the Single Registry for Social Programs (CadÚnico) of Belo Horizonte, MG: number of registered families and the percentage of families paying more than 30% of their total family income with rent. The results point out to the feasibility of intertemporal monitoring of information, in defining zoning, in identifying intra-urban phenomena, among other possibilities.