International tourism microdata for 2025 now available

Banca d'Italia has released the microdata for its 2025 international tourism survey, making it available for in-depth quantitative analyses. The annual update was published on April 17, 2026.

Methodology refined for 2025 data

Banca d'Italia has released the microdata for its 2025 international tourism survey, updated annually to facilitate in-depth quantitative analyses.

The latest dataset, referring to the year 2025, became available on April 17, 2026.

A significant operational change occurred in February 2025 when Banca d'Italia internalized the grossing-up process for sample data, a task previously outsourced.

While the underlying methodological framework remains consistent, innovations have been introduced, including adjustments to how information sources are utilized.

This ensures main aggregates align with historical series, though more detailed breakdowns may show some differences.

The availability of this granular data empowers researchers to conduct comprehensive studies on international tourism patterns and their economic impacts, building upon a refined and internally managed data processing system.

Structured data for diverse analyses

The microdata is provided in compressed archives, organized by year, residence of travelers (Italian/foreign), and specific variable groups.

These include 'main variables' (frequently used data), 'secondary variables' (remaining information, excluding confidential data), and 'grossing-up factors' for scaling individual interviews.

The database structure supports grossed-up quantitative variables, with relationships detailed in the Microdata Manual.

Data are distributed in CSV, SAS datasets, and, for key variables, Excel pivot tables.

CSV files use commas as separators and Anglo-Saxon decimal notation.

Archives are named systematically, indicating traveler residence and year.

Transparency with a caveat

The provision of detailed microdata significantly enhances research capabilities for international tourism trends.

However, explicit confidentiality restrictions and the unique challenges of the 2020 dataset necessitate careful methodological consideration by users.

This balance between transparency and data protection is crucial for robust analysis, yet it places a higher burden on researchers to understand data limitations.