Multidimensional Estimation of Housing Deficit in Small Areas: An Approach Based on Spatial Microsimulation of Data
Given the historical and pronounced problems related to access to adequate housing in Brazil, and the need for more refined (socio)spatial information on the subject, the aim of this paper is to present a new approach to generating estimates (spatial microdata) of the housing deficit in small areas. Based on one of the spatial microsimulation methods (IPF), the methodological proposal makes compatible two types of census data - sample microdata and universe data aggregated by census sectors - and combines the potential of each type. With the Baixada Santista metropolitan area as the study area, estimates were generated for almost all households in the region (94%). And these, after analysis and evaluation, show that the approach proposed to identify, characterise and measure the housing deficit at the intra-urban level is promising, since it allows progress to be made in the spatial characterisation of the phenomenon (census sector scale) and its forms of territorialisation (for example, defining whether the housing deficit is inside or outside precarious settlements).