The survey, in accordance with the European Regulation 692/2011 (repealing from 1 January 2012 the European Directive 95/57/EC), satisfies the national needs by collecting regularly data on 'tourism demand' and ensuring, together with supply data, the availability of an integrated system of statistical information in the field of tourism at national level. Moreover, complying with the Regulation, the survey guaranties a set of harmonized statistical information across all member states of the European Union.
The aim is to quantify and analyze the flows of tourists resident in Italy, both within the country and abroad, as well as to give information on the characteristics of the trips and on the socio-demographic characteristics of tourists and non-tourists. The reference periods are the all months of the year. In each period, for each household member, information about trips ended in the referring month is collected.
Tourism flows are distinguished into trips for personal reasons and business trips, the first ones differentiated between short holiday (1-3 overnight stays) and long holiday trips (4 or more overnight stays). The survey provides a wide set of information on tourist trips, such as destination of the trip, main purpose, type of organization of travel, main type of accommodation and main mean of transport, duration and period of the year for each trips made, etc.
From 1997 to 2013, Istat carried out the quarterly survey with CATI tecnique (Computer Assisted Telephone Interview) on a sample of about 14,000 households per year (approximately 3,500 per quarter and 32,000 individuals per year).
Since 2014 the survey has been included into another process, Household budget survey, becoming a focus into the initial and ending interview. It is conducted monthly with CAPI technique (Computer Assisted Personal Interview), over a theory sample of 19,500 households (7.000 households per quarter). Comparability of the series of the main data has been guaranteed over time at national level. In fact, the principal macrodata have been re-built by applaying a tecnique of time series re-building.