Database Specific
Database Specific Abstract AbstractThe elaboration of a more precise nomenclature of households' financial assets and liabilities and the collection of more detailed information constitute an attempt to better identify and analyse households' wealth in OECD countries. The objective of the sub-classification of assets and liabilities is to identify the relative importance of the various types of assets, classified according to the increasing risk.
Source Source Contact person/organisation Contact person/organisationOECD statistics contact: STAT.Contact@oecd.org
Direct source Direct sourceCentral Banks or National Statistical Institutes.
Source Periodicity Source PeriodicityAnnual and quarterly.
Data Characteristics Data Characteristics Unit of measure used Unit of measure usedMillions of national currency and US Dollars.
Population & Scope Population & Scope Population coverage Population coverageThis dataset includes a detailed breakdown of loans (F4), investment funds shares (F52), life insurance and annuity entitlements (F62), and pension entitlements (F63).
The finer breakdown of households' financial assets and liabilities is consistent with the financial classification of the System of National Accounts (SNA).
Concepts & Classifications Concepts & Classifications Key statistical concept Key statistical conceptMost of the OECD Member countries compile the Households’ assets and liabilities questionnaire according to the SNA 2008 / ESA 2010 (European System of Accounts). The OECD Member countries which are still producing national accounts according to the SNA 1993 / ESA 1995 will change over to the new SNA 2008 / ESA 2010 over the upcoming months/years.
Data in the Households’ assets and liabilities dataset are consistent with those reported in the Financial Balance Sheets, unless exceptions specified in the metadata at the specific country-level.
The data collection is limited to quarterly (Q) data for the Households and NPISHs sector, and to annual data for the households sector, which are compiled by the official national statistical institution. The annual (A) data published in this dataset corresponds to the data for the fourth quarter (Q4), which is assumed to correspond to the end-year data by convention.
Additional information and detailed definitions can be found at the following links:
The elaboration of a more precise nomenclature of households' financial assets and liabilities and the collection of more detailed information constitute an attempt to better identify and analyse households' wealth in OECD countries. The objective of the sub-classification of assets and liabilities is to identify the relative importance of the various types of assets, classified according to the increasing risk.
OECD statistics contact: STAT.Contact@oecd.org
Central Banks or National Statistical Institutes.
Annual and quarterly.
Millions of national currency and US Dollars.
This dataset includes a detailed breakdown of loans (F4), investment funds shares (F52), life insurance and annuity entitlements (F62), and pension entitlements (F63).
The finer breakdown of households' financial assets and liabilities is consistent with the financial classification of the System of National Accounts (SNA).
Most of the OECD Member countries compile the Households’ assets and liabilities questionnaire according to the SNA 2008 / ESA 2010 (European System of Accounts). The OECD Member countries which are still producing national accounts according to the SNA 1993 / ESA 1995 will change over to the new SNA 2008 / ESA 2010 over the upcoming months/years.
Data in the Households’ assets and liabilities dataset are consistent with those reported in the Financial Balance Sheets, unless exceptions specified in the metadata at the specific country-level.
The data collection is limited to quarterly (Q) data for the Households and NPISHs sector, and to annual data for the households sector, which are compiled by the official national statistical institution. The annual (A) data published in this dataset corresponds to the data for the fourth quarter (Q4), which is assumed to correspond to the end-year data by convention.
Additional information and detailed definitions can be found at the following links: