China

The data are three-month interbank rates which are no longer updated. The series represent interest rates of countries which have now joined the euro area.

International Data from European Central Bank

Reports - Statistical Releases E.16 Country Exposure Lending Survey and Country Exposure Information Report

This variable consists of the sum of all items of the assets side or the sum of all items of the liabilities side. This indicator gives an idea of the economic importance of credit institutions.

Structural business statistics (SBS) describes the structure, conduct and performance of economic activities, down to the most detailed activity level (several hundred economic sectors). SBS are transmitted annually by the EU Member States on the basis of a legal obligation from 1995 onwards.   SBS covers all activities of the business economy with the exception of agricultural activities and personal services and the data are provided by all EU Member States, Norway and Switzerland, some candidate and potential candidate countries. The data are collected by domain of activity (annex) : Annex I - Services, Annex II - Industry, Annex III - Trade and Annex IV- Constructions and by datasets. Each annex contains several datasets as indicated in the SBS Regulation. The majority of the data is collected by National Statistical Institutes (NSIs) by means of statistical surveys, business registers or from various administrative sources. Regulatory or controlling national offices for financial institutions or central banks often provide the information required for the financial sector (NACE Rev 2 Section K / NACE Rev 1.1 Section J). Member States apply various statistical methods, according to the data source, such as grossing up, model based estimation or different forms of imputation, to ensure the quality of SBSs produced. Main characteristics (variables) of the SBS data category: Business Demographic variables (e.g. Number of enterprises)"Output related" variables (e.g. Turnover, Value added)"Input related" variables: labour input (e.g. Employment, Hours worked); goods and services input (e.g. Total of purchases); capital input (e.g. Material investments) All SBS characteristics are published on Eurostat’s website by tables and an example of the existent tables is presented below: Annual enterprise statistics: Characteristics collected are published by country and detailed on NACE Rev 2 and NACE Rev 1.1 class level (4-digits). Some classes or groups in 'services' section have been aggregated.Annual enterprise statistics broken down by size classes: Characteristics are published by country and detailed down to NACE Rev 2 and NACE Rev 1.1 group level (3-digits) and employment size class. For trade (NACE Rev 2 and NACE Rev 1.1 Section G) a supplementary breakdown by turnover size class is available.Annual regional statistics: Four characteristics are published by NUTS-2 country region and detailed on NACE Rev 2 and NACE Rev 1.1 division level (2-digits) (but to group level (3-digits) for the trade section). More information on the contents of different tables: the detail level and breakdowns required starting with the reference year 2008 is defined in Commission Regulation N° 251/2009. For previous reference years it is included in Commission Regulations (EC) N° 2701/98 and amended by Commission Regulation N°1614/2002 and Commission Regulation N°1669/2003. Several important derived indicators are generated in the form of ratios of certain monetary characteristics or per head values. A list with the available derived indicators is available below in the Annex.

All income received by credit institutions from assets such as loans and advances, treasury bills, fixed income securities. It also includes fees and commissions similar in nature to interest and calculated on a time basis or by reference to the amount of the claim or liability.

A count of the number of all credit institutions active during at least a part of the reference period. Credit institutions are undertakings whose business it is to receive deposits or other repayable funds from the public and to grant credit for their own account.

The number of persons employed is the total number of persons who work in the observation unit as well as persons who work outside the unit who belong to it and are paid by it (e.g. sales representatives, delivery personnel, repair and maintenance teams). Yet the number of persons employed excludes manpower supplied to the unit by other companies.

This is a one-off survey, not intended to be repeated.  Access to finance is crucial to business success and an important factor for economic growth in Europe following the economic crisis in 2007. The purpose of the survey is to:Examine where there may be constraints on the availability of finance, and how those may be changing.Provide evidence on the need for finance (loans, equity and other) in the future, for example to promote growth.Identify the sources from which businesses would wish to obtain this finance.  It is important to be able to compare businesses that have shown sharp growth in recent years with those that have not; and to separate more recently formed businesses from others. As a consequence, the survey will collect information separately for "gazelles" (defined at page 3 below); other high-growth businesses that have been established longer than gazelles; and other businesses. Only businesses with an employment of 10-249 in 2005 and at least 10 employees in 2010 are being covered.

Financial inclusion is critical in reducing poverty and achieving inclusive economic growth. When people can participate in the financial system, they are better able to start and expand businesses, invest in their children’s education, and absorb financial shocks. Yet prior to 2011, little was known about the extent of financial inclusion and the degree to which such groups as the poor, women, and rural residents were excluded from formal financial systems.  The dataset help us to know about how adults around the world manage their day-to-day finances, the Global Findex allows policy makers, researchers, businesses, and development practitioners to track how the use of financial services has changed over time. The database can also be used to identify gaps in access to the formal financial system and design policies to expand financial inclusion.

  

A loan, other than held for trading, is considered as non-performing if satisfies either or both of the following criteria: (a) It is a material loan which is more than 90 days past-due; (b) The debtor is assessed as unlikely to pay its credit obligations in full without realisation of collateral, regardless of the existence of any past-due amount or of the number of days past-due. Non -performing loans include defaulted and impaired loans and follow the harmonised definition of the European Banking Authority (EBA) used for supervisory reporting. The MIP indicator is defined as total gross non-performing loans and advances as % of total gross loans and advances (gross carrying amount), for the reporting sector "domestic banking groups and stand-alone banks, foreign controlled subsidiaries and foreign controlled branches, all institutions". Data on domestically controlled banks are consolidated across borders and sectors at the prudential perimeter of consolidation. Data source: European Central Bank (ECB)

The FAS is the key source of global supply-side data on financial inclusion, encompassing data on access to and usage of financial services by firms and households that can be compared across countries and over time. Contains 180 time series and 65 indicators that are expressed as ratios to GDP, land area, or adult population to facilitate cross-economy comparisons. Provision of FAS data is voluntary.

Money and Credit Statistics of Cameroon

Net debt-to-income ratio, after taxes, of non-financial corporations is defined as main financial liabilities divided by net entrepreneurial income (ESA 2010 code: B4N) less current taxes on income and wealth (D5PAY). Main financial liabilities include currency and deposits (AF2), debt securities (AF3) and loans (AF4). Detailed data and methodology on site http://ec.europa.eu/eurostat/sectoraccounts .

The aggregate of net lending/net borrowing of the domestic sectors in the ESA is conceptually the same as the value of net lending/net borrowing in the international accounts. This is because all the resident-to-resident flows cancel out. It is also equal to the opposite of net lending/net borrowing of the rest of the world sector in the ESA. The net lending (+) or borrowing (–) of the total economy is the sum of the net lending or borrowing of the institutional sectors. It represents the net resources that the total economy makes available to the rest of the world (if it is positive) or receives from the rest of the world (if it is negative). The net lending (+) or borrowing (–) of the total economy is equal but of opposite sign to the net borrowing (–) or lending (+) of the rest of the world. The indicator is based on the national accounts data reported to Eurostat by the EU Member States.

This aggregate measures the portion of national disposable income that is not used for final consumption expenditure. Net national saving is the sum of the net savings of the various institutional sectors, according to the ESA 2010 definition.

The private sector credit flow represents the net amount of liabilities in which the sectors Non-Financial corporations, Households and Non-Profit institutions serving households (S.11_S.14_S.15) have incurred along the year. The instruments that are taken into account to compile private sector credit flow are Debt securities (F.3) and Loans (F.4). Data are presented in non-consolidated terms, i.e. data take into account transactions within the same sector and expressed in % of GDP and in Million units of national currency. Definitions regarding sectors and instruments are based on the ESA 2010.

The table presents the net flow of debt securities (F.3) for the sectors Non-Financial corporations (S.11), Households (S.14) and Non-Profit institutions serving households (S.15). The debt securities are negotiable financial instruments serving as evidence of debt. Data are presented in non-consolidated terms, i.e. data take into account transactions within the same sector and expressed in % of GDP. Definitions regarding sectors and instruments are based on the ESA 2010.

The table presents the net flow of debt securities (F.3) for the sectors Non-Financial corporations (S.11), Households (S.14) and Non-Profit institutions serving households (S.15). The debt securities are negotiable financial instruments serving as evidence of debt. Data are presented in non-consolidated terms, i.e. data take into account transactions within the same sector and expressed in Million units of national currency. Definitions regarding sectors and instruments are based on the ESA 2010.

The table presents the net flow of loans (F.4) for the sectors Non-Financial corporations (S.11), Households (S.14) and Non-Profit institutions serving households (S.15). The debt securities are negotiable financial instruments serving as evidence of debt. Data are presented in non-consolidated terms, i.e. data take into account transactions within the same sector and expressed in % of GDP. Definitions regarding sectors and instruments are based on the ESA 2010.

The table presents the net flow of loans (F.4) for the sectors Non-Financial corporations (S.11), Households (S.14) and Non-Profit institutions serving households (S.15). The debt securities are negotiable financial instruments serving as evidence of debt. Data are presented in non-consolidated terms, i.e. data take into account transactions within the same sector and expressed in Million units of national currency. Definitions regarding sectors and instruments are based on the ESA 2010.

The table presents the stock of liabilities of loans (F.4) for the sectors Non-Financial corporations (S.11), Households (S.14) and Non-Profit institutions serving households (S.15). The debt securities are negotiable financial instruments serving as evidence of debt. Data are presented in non-consolidated terms, i.e. data take into account transactions within the same sector and expressed in million units of national currency. Definitions regarding sectors and instruments are based on the ESA 2010.

The table presents the stock of liabilities of loans (F.4) for the sectors Non-Financial corporations (S.11), Households (S.14) and Non-Profit institutions serving households (S.15). The debt securities are negotiable financial instruments serving as evidence of debt. Data are presented in non-consolidated terms, i.e. data take into account transactions within the same sector and expressed in % of GDP. Definitions regarding sectors and instruments are based on the ESA 2010.

Data cited at: The World Bank https://datacatalog.worldbank.org/ Topic: Remittance Prices Worldwide Publication: https://datacatalog.worldbank.org/dataset/remittance-prices-worldwide License: http://creativecommons.org/licenses/by/4.0/   Provides data on the cost of sending and receiving relatively small amounts of money from one country to another. Data cover 365 "country corridors" worldwide, from 48 remittance sending countries to 105 receiving countries.