Banca d'Italia updates banking statistics to ATECO 2025

The Banca d'Italia has updated its 'Banks and Financial Institutions' statistical publication, introducing new monthly tables based on the ATECO 2025 classification from March 2026. Quarterly tables will follow suit from June 2026, replacing the outdated ATECO 2007 classification.

New classification for monthly banking data

The Banca d'Italia's "Banks and Financial Institutions: Financing and Bank Funding by Sector and Geographical Area" is a specialized quarterly publication, providing detailed statistical information on the financial and credit system.

It focuses on loans granted by the banking system and Cassa Depositi and Prestiti S.p.A. (CDP), banks' financial resources, and securities and derivatives market activity.

Starting from the March 2026 edition, new monthly tables TDB50224 and TDB51224 have been introduced, detailing "customer economic activity" according to the updated ATECO 2025 classification.

These new tables directly replace the previous TDB10224 and TDB20224, which utilized the now-outdated ATECO 2007 classification.

The discontinued tables remain accessible in the online Statistical Database under "Tables no longer updated.

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Upcoming shift for quarterly reports

The "Banks and Financial Institutions" report is part of a broader initiative from 2017 to split the Statistical Bulletin into specialized publications.

This report features updated table headings, codes, and terminology, aligning definitions with other statistical publications for enhanced clarity.

The Banca d'Italia also announced that, starting with the June 2026 edition, all quarterly tables detailing "customer economic activity" under the ATECO 2007 classification will be discontinued.

These will be replaced by new tables that incorporate the updated ATECO 2025 details, ensuring a consistent and modern data framework.

A necessary data modernization

This update represents a crucial step towards modernizing Italy's banking statistics, aligning them with current economic classifications.

While a routine technical adjustment, it significantly enhances data granularity and comparability for analysts and policymakers.

The move ensures that financial data accurately reflects contemporary economic activities, supporting more precise analysis and informed decision-making.