ECRI Statistical Package 2018 on Lending to Households in Europe

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Pietro Gagliardi

The ECRI Statistical Package on Lending to Households and Non-Financial Corporations in Europe is a collection of data on lending to non-financial corporations and households. It includes consumer credit, housing and other loans, in Europe, covering 42 countries: the 28 EU member states, two EU candidate countries (Turkey and the Former Yugoslav Republic of Macedonia), the EFTA countries (Iceland, Liechtenstein, Norway and Switzerland), four additional key global economies (the United States, Australia, Canada and Japan) and four emerging economies (India, Russia, Mexico and Saudi Arabia).

Its purpose is to provide reliable statistical information allowing users to make comparisons between countries and time. Accordingly, definitions of concepts and aggregates from national authorities are provided.

The package contains nominal and real data on major time series such as outstanding consumer credit, loans for house purchase, other loans to households, loans to non-financial corporations and national accounts. It also includes breakdowns of the various credit statistics by maturity and currency. Data are presented in euro and in national currency. Various figures visualise credit extension developments across time, sectors and loan types as well as national accounts.Tables presenting the composition of consumer credit stocks by lender and by instrument are also available for some countries.

The ECRI Statistical Package on Lending to Households and Non-Financial Corporations in Europe is a more comprehensive version. The ECRI Statistical Package on Consumer Credit in Europe comprises data on consumer credit in Europe and can be found here.

The ECRI Statistical Package 2018 is available for purchase here. A free demo version of the ECRI Statistical Package 2017 can be found here

A detailed analysis of the 2017 trends in European credit markets can be found in the recent CEPS publication Bouyon and Gagliardi (2018) that can be found here.