The purpose of this paper is to evaluate the possibility of applying statistical matching on two different data sources to create an integrated database with detailed information on households income and consumption expenditures in Italy. The data to integrate are those of EU-SILC (EU Statistics on Income and Living Condition) 2012, with income reference year 2011, and the HBS (Household Budget Survey) 2011. This paper explores which are the matching approaches more suitable with the final objective and provides insights concerning some important steps of the integration process. In order to avoid the statistical matching under the conditional independence assumption (CIA) it is evaluated the usage of the available auxiliary information (household monthly income) and the main results are also presented.