This paper aims to study the development of the spatial pattern and industrial concentration in Brazilian municipalities. The first step is to create synthetic indicators, which summarize a set of information regarding industry in each municipality. Subsequently, Local Indicators of Spatial Association - LISA is performed to verify any spatial autocorrelation in the calculated dimensions. We use data from Brazilian Institute of Geography and Statistics Ministry of Economy and Human Development Atlas to build 10 economic variables. The main results show the creation of four dimensions associated with: i) Industrial Specialization; ii) Industry Labour Productivity; iii) Income and Schooling; and iv) Urban Agglomerations. LISA indicates the presence of high-high clusters in the South and Southeast regions, while in the North and Northeast mainly, there is the presence of low-low clusters. These heterogenous spatial pattern reinforces economic inequalities along municipalities and regions.