Automated zoning procedures offer efficient, systematic and objective methodologies for identifying the neighborhood effects on socio-economic statistics. However, the automatic spatial aggregation of census data over manually defined geographic units based on landscape heterogeneity characteristics are barely studied. In this study we utilize high-resolution remote sensing data and census data and apply a multi-level zoning system in order to analyze how a deprivation index differs in the corresponding urbanization environment within the Shannon’s diversity Index. Our study area is the capital city of Ecuador, Quito.