Credit to the non-financial sector
Updated 6 March 2017
Data for Colombia covering all the borrowing sectors (non-financial corporations, households, government) added to the data set, which now comprises 44 economies.
All series on credit to the non-financial sector cover 44 economies, both advanced and emerging. They capture the outstanding amount of credit at the end of the reference quarter. Credit is provided by domestic banks, all other sectors of the economy and non-residents. In terms of financial instruments, credit covers the core debt, defined as loans, debt securities and currency & deposits.
All series are published in local currency, in US dollars and as percentages of nominal GDP. The regional aggregates as percentages of GDP are calculated based on conversion to the US dollar at market and at purchasing power parity (PPP) exchange rates.
- Data: Total credit to the non-financial sector (XLSX, last updated 6 March 2017)
- Tables on total credit (from the Statistical Bulletin)
- Documentation on data
- Long series on total credit to the private non-financial sector (last updated 6 March 2017)
- Total credit to the government sector (last updated 6 March 2017)
- Changes to the data set (last updated 6 March 2017)
Long series on total credit to the private non-financial sector (PNFS)
The long series on credit to the PNFS covers the following borrowing sectors: non-financial corporations (both private-owned and public-owned), households and non-profit institutions serving households, respectively defined as sectors S11, S14 and S15 in the SNA 2008. The data set on credit to the PNFS is compiled on a non-consolidated basis and is only available at market value.
The combination of different sources and data from various methodological frameworks resulted in breaks in the series. The BIS is therefore, in addition, publishing a second set of series adjusted for breaks, which covers the same time span as the unadjusted series. The break-adjusted series are the result of the BIS's own calculations, and were obtained by adjusting levels through standard statistical techniques described in the special feature on the long credit series of the March 2013 issue of the BIS Quarterly Review.
Total credit to the government sector
In September 2015, the BIS has added a new data set, for credit to the general government sector, to the existing long series on credit to the private non-financial sector. This has been combined with the credit to PNFS to create the total credit to the non-financial sector. The series on credit to the government sector cover the following borrowing subsectors: central, state and local governments and social security funds. It corresponds to the sector S13 as defined in the System of National Accounts 2008 (SNA 2008), ie without public enterprises. This is compiled on a consolidated basis and is available both at market and nominal value.
Central bank cooperation
The BIS would like to offer a special thanks to member central banks for their consultations in this endeavour. The BIS has made every reasonable effort to ensure that the long series on credit are accurate, but no guarantees are made.
The data set is updated quarterly at the end of each quarter. View our release calendar for advance notice of publication dates.
Browse and download data
Credit statistics can also be generated using:
- BIS Statistics Explorer - a browsing tool for pre-defined views of BIS's most current data
- BIS Statistics Warehouse - a search tool for customised queries of BIS's most current data
The statistics can also be downloaded in a single CSV file.
See our video on "A new data set on total credit to the general government sector".
The following provides further information on credit to the non-financial sector.
"How much does the private sector really borrow - a new database for total credit to the private non-financial sector", BIS Quarterly Review, March 2013.
"A new database on general government debt", BIS Quarterly Review, September 2015.
For queries regarding credit to the non-financial sector, please write to statistics$bis.org (where "$" denotes "@").