Banking statistics integrate ATECO 2025 sector classifications
BDI Data

Banking statistics integrate ATECO 2025 sector classifications

Updated methodology for Italian banking statistics incorporates the ATECO 2025 classification from September 2026. The framework also reflects revised provincial boundaries in Sardinia and details structural breaks across central credit and supervisory datasets.

Transition to ATECO 2025 standards

The updated methodology incorporates the ATECO 2025 classification, replacing previous ATECO 2007 tables which move to the discontinued series of the BDS statistical database.

The revision also captures administrative changes across the provinces of Sardinia.

Reporting requirements rely on three primary pillars: supervisory returns under Circular 272/2008, Central Credit Register filings under Circular 139/1991, and monthly interest rate surveys under Circular 248/2002.

For the Central Credit Register, mandatory participation covers banks, financial intermediaries, securitization vehicles, and Cassa Depositi e Prestiti SpA, using a €30,000 threshold for loans or collateral and a €250 threshold for bad debts.

Supervisory returns versus credit registers

The note details systematic differences between supervisory returns and Central Credit Register records.

Supervisory reports identify the actual credit risk holder and physical operating location, whereas the credit register records the legal owner and legal residence of the counterparty.

Foreign branches of Italian banks report to the credit register but are excluded from supervisory returns.

To preserve confidentiality, published aggregates require at least three reporting entities and three counterparties.

Welcome clarity, persistent frictions

The update brings essential transparency to Italy's evolving credit data architecture.

Yet ongoing frictions between supervisory risk metrics and credit register ownership rules still complicate cross-dataset analysis.

Analysts must actively account for these breaks when assessing long-term lending dynamics.

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