Австралия

  • Население, человек:26 581 446 (2024)
  • Площадь, кв км:7 692 020
  • ВВП на душу населения, долл. США:64 821 (2023)
  • ВВП, млрд. долл. США:1 728,1 (2023)
  • Индекс Джини:34,3 (2018)
  • Рейтинг Ease of Doing Business:14

Все наборы данных: A B C D F G I P S T U W
  • A
    • Март 2025
      Источник: Organisation for Economic Co-operation and Development
      Загружен: Knoema
      Дата обращения к источнику: 04 марта, 2025
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      The Financial Balance Sheets show financial assets, liabilities and net financial worth (assets minus liabilities) at the end of the period. This table is on a consolidated basis, which means that counterpart assets and liabilities of units within the same sector or subsector (or the economy as a whole) have been removed. In this table, the presentation is on a country-by-country basis. Users are recommended to select one country (or area) at a time in the ‘Reference area’ filter. The default view of the table is for the economy as a whole, but you can use the ‘Institutional sector’ filter to select specific sectors such as Non-financial Corporations, Financial Corporations, General Government and Households, as well as the Rest of the world account. For each sector, the table presents breakdowns by financial instrument, for example currency and deposits, debt securities, loans, equity and investment fund shares, insurance and pensions. Users can also choose to compare a single financial instrument, such as listed shares, for several countries. Users should note that some countries do not produce consolidated accounts for all sectors. These indicators were presented in the previous dissemination system in the SNA_TABLE710R dataset. Explore also the OECD Financial Accounts and Balance Sheets webpage: Financial Accounts and Balance Sheets webpage OECD statistics contact: [email protected]
    • Февраль 2025
      Источник: Reserve Bank of Australia
      Загружен: Dinesh Kumar Gouducheruvu
      Дата обращения к источнику: 25 февраля, 2025
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  • B
    • Сентябрь 2021
      Источник: Australian Bureau of Statistics
      Загружен: Knoema
      Дата обращения к источнику: 11 сентября, 2021
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      The strategy integrates the collection and quality assurance of data required for input into both the ABS’s Business Characteristics Longitudinal Statistics (BCLS) and the production of point in time estimates for: use of information technology; innovation; and a broad range of other non-financial business characteristics. A more detailed set of items of either business innovation or business use of IT are collected every second year (i.e. in alternating years).
  • C
    • Январь 2025
      Источник: Bank for International Settlements
      Загружен: Knoema
      Дата обращения к источнику: 31 января, 2025
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      Below Parameters are common for all combinations : Frequency - Quarterly Measure -Amounts Outstanding / Stocks CBS Bank Type - Domestic Banks CBS Reporting Basis - Immediate Counterparty Basis Balance Sheet Position - Total Claims Type of Instruments - All Instruments Remaining Maturity - All Maturities Currency Type of Booking Location - All Currencies Counterparty Sector - All Sectors Data cited at : https://www.bis.org/statistics/index.htm
    • Декабрь 2015
      Источник: International Monetary Fund
      Загружен: Knoema
      Дата обращения к источнику: 18 апреля, 2016
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      COFR presents data on fiscal transparency. It provides an overview of fiscal reporting, including whether fiscal data are available for all of the general government, whether the government reports a balance sheet, and whether spending and revenue are reported on a cash or accrual basis. It also derives specific indices of the coverage of public institutions, fiscal flows, and fiscal stocks.
    • Март 2025
      Источник: Bank for International Settlements
      Загружен: Knoema
      Дата обращения к источнику: 01 марта, 2025
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      The data set on credit to the non-financial sector captures borrowing activity by the government sector and the private non-financial sector in more than 40 economies. Quarterly data on credit to the government sector cover on average 20 years, while those on credit to the private non-financial sector on average more than 45 years. The statistics follow the framework of the System of National Accounts.   Data cited at: Bank for International Settlements (2024), Credit to the non-financial sector, BIS WS_TC 2.0 (data set), https://data.bis.org/topics/TOTAL_CREDIT/data.
  • D
  • F
    • Март 2025
      Источник: Organisation for Economic Co-operation and Development
      Загружен: Knoema
      Дата обращения к источнику: 06 марта, 2025
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      The financial indicators are based on data compiled according to the 2008 SNA "System of National Accounts, 2008". Many indicators are expressed as a percentage of Gross Domestic Product (GDP) or as a percentage of Gross Disposable Income (GDI) when referring to the Households and NPISHs sector. The definition of GDP and GDI are the following: Gross Domestic Product: Gross Domestic Product (GDP) is derived from the concept of value added. Gross value added is the difference of output and intermediate consumption. GDP is the sum of gross value added of all resident producer units plus that part (possibly the total) of taxes on products, less subsidies on products, that is not included in the valuation of output [System of National Accounts, 2008, par. 2.138]. GDP is also equal to the sum of final uses of goods and services (all uses except intermediate consumption) measured at purchasers’ prices, less the value of imports of goods and services [System of National Accounts, 2008, par. 2.139]. GDP is also equal to the sum of primary incomes distributed by producer units [System of National Accounts, 2008, par. 2.140]. Gross Disposable Income: Gross Disposable Income (GDI) is equal to net disposable income which is the balancing item of the secondary distribution income account plus the consumption of fixed capital. The use of the Gross Disposable Income (GDI), rather than net disposable income, is preferable for analytical purposes because there are uncertainty and comparability problems with the calculation of consumption of fixed capital. GDI measures the income available to the total economy for final consumption and gross saving [System of National Accounts, 2008, par. 2.145]. Definition of Debt: Debt is a commonly used concept, defined as a specific subset of liabilities identified according to the types of financial instruments included or excluded. Generally, debt is defined as all liabilities that require payment or payments of interest or principal by the debtor to the creditor at a date or dates in the future. Consequently, all debt instruments are liabilities, but some liabilities such as shares, equity and financial derivatives are not debt [System of National Accounts, 2008, par. 22.104]. According to the SNA, most debt instruments are valued at market prices. However, some countries do not apply this valuation, in particular for securities other than shares, except financial derivatives (AF33). In this dataset, for financial indicators referring to debt, the concept of debt is the one adopted by the SNA 2008 as well as by the International Monetary Fund in “Public Sector Debt Statistics – Guide for compilers and users” (Pre-publication draft, May 2011). Debt is thus obtained as the sum of the following liability categories, whenever available / applicable in the financial balance sheet of the institutional sector:special drawing rights (AF12), currency and deposits (AF2), debt securities (AF3), loans (AF4), insurance, pension, and standardised guarantees (AF6), and other accounts payable (AF8). This definition differs from the definition of debt applied under the Maastricht Treaty for European countries. First, gross debt according to the Maastricht definition excludes not only financial derivatives and employee stock options (AF7) and equity and investment fund shares (AF5) but also insurance pensions and standardised guarantees (AF6) and other accounts payable (AF8). Second, debt according to Maastricht definition is valued at nominal prices and not at market prices. To view other related indicator datasets, please refer to: Institutional Investors Indicators [add link] Household Dashboard [add link]
    • Июль 2016
      Источник: Financial Freedom Index
      Загружен: Knoema
      Дата обращения к источнику: 09 апреля, 2021
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      The Financial Freedom Index is based on 15 indicators and sub-indicators. For this tabular overview of the entire index the 6 types of tax rates and 3 international taxation indicators have been combined as one "tax score." The other six main indicators are shown as they appear on the "By Indicator" pages. Due to lack of data for some countries, not all nations have been included in the ranking. A score of 1.00 is most favorable, i.e., a 1.00 "tax score" translates into low taxes, as a 1.00 "cost of living score" translates into low living costs.
    • Ноябрь 2023
      Источник: Organisation for Economic Co-operation and Development
      Загружен: Knoema
      Дата обращения к источнику: 28 ноября, 2023
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      The financial indicators in this dataset are derived from OECD countries’ financial accounts (transactions): they give a picture of the short-term behavior of institutional sectors. They comprise for instance: Net financial transactions of the general government, as a percentage of Gross Domestic Product (GDP), which corresponds to the general government deficit; Transactions in financial assets of Households and NPISHs, as a percentage of Households Gross Disposable Income (GDI); Transactions in liabilities of Households and NPISHs, as a percentage of GDI.
    • Февраль 2025
      Источник: Organisation for Economic Co-operation and Development
      Загружен: Knoema
      Дата обращения к источнику: 07 февраля, 2025
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      Financial Indicators aim to capture in quantitative terms an important but heterogeneous and fast evolving area. Key factors driving this change are: globalisation of the financial markets; maturing of national financial markets and therefore the structure of these markets required to service their needs; increased sophistication of the actors in these markets; rapid technological change; and evolving regulatory frameworks. Financial institutions react and adapt to these conditions by changing their strategies; by specialising, by diversifying or concentrating their activities, and by extending through mergers and acquisitions. As a consequence, there is almost constant evolution in the institutional structures in which financial markets operate.   OECD statistics contact   Statistics and Data Directorate
    • Июнь 2024
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 28 июня, 2024
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      Eurostat Dataset Id:ei_bsfs_m Six qualitative surveys are conducted on a monthly basis in the following areas: manufacturing industry, construction, consumers, retail trade, services and financial services. Some additional questions are asked on a quarterly basis in the surveys in industry, services, financial services, construction and among consumers. In addition, a survey is conducted twice a year on Investment in the manufacturing sector. The domain consists of a selection for variables from the following type of survey: Industry monthly questions for: production, employment expectations, order-book levels, stocks of finished products and selling price. Industry quarterly questions for:production capacity, order-books, new orders, export expectations, capacity utilization, Competitive position and factors limiting the production. Construction monthly questions for: trend of activity, order books, employment expectations, price expectations and factors limiting building activity. Construction quarterly questions for: operating time ensured by current backlog. Retail sales monthly questions for: business situation, stocks of goods, orders placed with suppliers and firm's employment. Services monthly questions for: business climate, evolution of demand, evolution of employment and selling prices. Services quarterly question for: factors limiting their business Consumer monthly questions for: financial situation, general economic situation, price trends, unemployment, major purchases and savings. Consumer quarterly questions for: intention to buy a car, purchase or build a home, home improvements. Financial services monthly questions for: business situation, evolution of demand and employment Financial services quarterly questions for: operating income, operating expenses, profitability of the company, capital expenditure and competitive position Monthly Confidence Indicators are computed for industry, services, construction, retail trade, consumers (at country level, EU and euro area level) and financial services (EU and euro area). An Economic Sentiment indicator (ESI) is calculated based on a selection of questions from industry, services, construction, retail trade and consumers at country level and aggregate level (EU and euro area). A monthly Euro-zone Business Climate Indicator is also available for industry. The data are published: as balance i.e. the difference between positive and negative answers (in percentage points of total answers)as indexas confidence indicators (arithmetic average of balances),at current level of capacity utilization (percentage)estimated months of production assured by orders (number of months)Unadjusted (NSA) and seasonally adjusted (SA)
    • Июнь 2024
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 28 июня, 2024
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      Eurostat Dataset Id:ei_bsfs_q Six qualitative surveys are conducted on a monthly basis in the following areas: manufacturing industry, construction, consumers, retail trade, services and financial services. Some additional questions are asked on a quarterly basis in the surveys in industry, services, financial services, construction and among consumers. In addition, a survey is conducted twice a year on Investment in the manufacturing sector. The domain consists of a selection for variables from the following type of survey: Industry monthly questions for: production, employment expectations, order-book levels, stocks of finished products and selling price. Industry quarterly questions for:production capacity, order-books, new orders, export expectations, capacity utilization, Competitive position and factors limiting the production. Construction monthly questions for: trend of activity, order books, employment expectations, price expectations and factors limiting building activity. Construction quarterly questions for: operating time ensured by current backlog. Retail sales monthly questions for: business situation, stocks of goods, orders placed with suppliers and firm's employment. Services monthly questions for: business climate, evolution of demand, evolution of employment and selling prices. Services quarterly question for: factors limiting their business Consumer monthly questions for: financial situation, general economic situation, price trends, unemployment, major purchases and savings. Consumer quarterly questions for: intention to buy a car, purchase or build a home, home improvements. Financial services monthly questions for: business situation, evolution of demand and employment Financial services quarterly questions for: operating income, operating expenses, profitability of the company, capital expenditure and competitive position Monthly Confidence Indicators are computed for industry, services, construction, retail trade, consumers (at country level, EU and euro area level) and financial services (EU and euro area). An Economic Sentiment indicator (ESI) is calculated based on a selection of questions from industry, services, construction, retail trade and consumers at country level and aggregate level (EU and euro area). A monthly Euro-zone Business Climate Indicator is also available for industry. The data are published: as balance i.e. the difference between positive and negative answers (in percentage points of total answers)as indexas confidence indicators (arithmetic average of balances),at current level of capacity utilization (percentage)estimated months of production assured by orders (number of months)Unadjusted (NSA) and seasonally adjusted (SA)
    • Апрель 2024
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 11 апреля, 2024
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    • Декабрь 2024
      Источник: Department for Promotion of Industry and Internal Trade, India
      Загружен: Knoema
      Дата обращения к источнику: 11 декабря, 2024
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      Foreign Direct Investment, Sector Wise in India
  • G
    • Июль 2024
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 13 августа, 2024
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      Public deficit/surplus is defined in the Maastricht Treaty as general government net borrowing/lending according to the European System of Accounts. The general government sector comprises central government, state government, local government, and social security funds. The relevant definitions are provided in Council Regulation 479/2009, as amended.
    • Сентябрь 2022
      Источник: World Bank
      Загружен: Knoema
      Дата обращения к источнику: 24 сентября, 2022
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      Data cited at: The World Bank https://datacatalog.worldbank.org/ Topic: Global Financial Development Publication: https://datacatalog.worldbank.org/dataset/global-financial-development License: http://creativecommons.org/licenses/by/4.0/   The Global Financial Development Database is an extensive dataset of financial system characteristics for 206 economies. The database includes measures of (1) size of financial institutions and markets (financial depth), (2) degree to which individuals can and do use financial services (access), (3) efficiency of financial intermediaries and markets in intermediating resources and facilitating financial transactions (efficiency), and (4) stability of financial institutions and markets (stability).For a complete description of the dataset and a discussion of the underlying literature, see: Martin Cihak; Asli Demirguc-Kunt; Erik Feyen; and Ross Levine, 2012. "Benchmarking Financial Systems Around the World." World Bank Policy Research Working Paper 6175, World Bank, Washington, D.C.
  • I
    • Сентябрь 2023
      Источник: Organisation for Economic Co-operation and Development
      Загружен: Knoema
      Дата обращения к источнику: 19 сентября, 2023
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    • Июнь 2023
      Источник: Federal Reserve Bank of St. Louis
      Загружен: Knoema
      Дата обращения к источнику: 13 июня, 2023
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      Data retrieved from FRED, Federal Reserve Bank of St. Louis; https://fred.stlouisfed.org/   This dataset contains forecast data from the dataset: https://knoema.com/FREDID2018Oct 
    • Ноябрь 2023
      Источник: International Monetary Fund
      Загружен: Knoema
      Дата обращения к источнику: 04 ноября, 2023
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      The Data Template on International Reserves and Foreign Currency Liquidity is an innovative single framework that integrates the concept of international reserves and foreign currency liquidity by covering data on on-balance-sheet and off-balance-sheet international financial activities of country authorities as well as supplementary information. It aims to provide a comprehensive account of official foreign currency assets and drains on such resources arising from various foreign/domestic currency liabilities and commitments of the authorities.
  • P
  • S
    • Июль 2024
      Источник: Securities Industry and Financial Markets Association
      Загружен: Knoema
      Дата обращения к источнику: 01 августа, 2024
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      The SIFMA Fact Book is an annual reference containing comprehensive data on the securities industry, capital markets, market activity, investor participation, global markets, savings and investment, and much more. Note: 2018 and 2019 data is projection data
    • Май 2024
      Источник: Bank for International Settlements
      Загружен: Knoema
      Дата обращения к источнику: 11 мая, 2024
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      Consolidated banking statistics - Summary of Foreign Claims (Immediate Counterparty Basis), by Nationality of Reporting Bank, 2017 Q1   Data cited at : https://www.bis.org/statistics/index.htm
    • Май 2024
      Источник: Bank for International Settlements
      Загружен: Knoema
      Дата обращения к источнику: 05 мая, 2024
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      Consolidated banking statistics - Summary of Foreign Claims and Other Potential Exposures (Ultimate Risk Basis), by Nationality of Reporting Bank Data cited at : https://www.bis.org/statistics/index.htm
  • T
    • Январь 2016
      Источник: Billion Prices Project
      Загружен: Knoema
      Дата обращения к источнику: 02 марта, 2021
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      Daily price indices, monthly, and annual inflation rates for Argentina and the US. Monthly data with annual inflation rates for Argentina, Brazil, China, Germany, Japan, South Africa, UK, US, 3 US sectors, and global aggregates (including Eurozone). Daily PPP series for Argentina and Australia. The data were used in the paper titled “The Billion Prices Project: Using Online Data for Measurement and Research” – Journal of Economic Perspectives , 31(1) (Spring 2016). Countries: 8 (plus 3 US sectors and 3 global aggregates) Dates : 2007/2008 to 2015   Data cited at: The Billion Prices Project Via Harvard Dataverse
    • Июль 2024
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 28 июля, 2024
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      The total financial sector liabilities measures the evolution of the sum of all liabilities (which includes Currency and deposits, Debt securities, Loans, Equity and investment fund shares/units, Insurance, pensions and standardised guarantee schemes, Financial derivatives and employee stock options and Other accounts payable) of the financial corporations sector. Data are presented in consolidated terms (i.e. data do not take into account transactions within the same sector), in % of GDP and by instruments.
    • Июль 2024
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 28 июля, 2024
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      The total financial sector liabilities measures the evolution of the sum of all liabilities (which includes Currency and deposits, Debt securities, Loans, Equity and investment fund shares/units, Insurance, pensions and standardised guarantee schemes, Financial derivatives and employee stock options and Other accounts payable) of the financial corporations sector. Data are presented in consolidated terms (i.e. data do not take into account transactions within the same sector), in Million units of national currency and by instruments.
    • Июль 2024
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 28 июля, 2024
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      The total financial sector liabilities measures the evolution of the sum of all liabilities (which includes Currency and deposits, Debt securities, Loans, Equity and investment fund shares/units, Insurance, pensions and standardised guarantee schemes, Financial derivatives and employee stock options and Other accounts payable) of the financial corporations sector. Data are presented in non-consolidated terms (i.e. data take into account transactions within the same sector), in % of GDP and by instruments.
    • Июль 2024
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 28 июля, 2024
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      The total financial sector liabilities measures the evolution of the sum of all liabilities (which includes Currency and deposits, Debt securities, Loans, Equity and investment fund shares/units, Insurance, pensions and standardised guarantee schemes, Financial derivatives and employee stock options and Other accounts payable) of the financial corporations sector. Data are presented in non-consolidated terms (i.e. data take into account transactions within the same sector), in Million units of national currency and by instruments.
    • Июль 2024
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 28 июля, 2024
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      The total financial sector liabilities measures the evolution of the sum of all liabilities (which includes Currency and deposits, Debt securities, Loans, Equity and investment fund shares/units, Insurance, pensions and standardised guarantee schemes, Financial derivatives and employee stock options and Other accounts payable) of the financial corporations sector. Data are presented in consolidated terms (i.e. data do not take into account transactions within the same sector), in % of GDP and for the sub-sectors: Central bank; Deposit-taking corporations except the central bank; MMF; Non-MMF investment funds; Other financial intermediaries, except insurance corporations and pension funds; Financial auxiliaries; Captive financial institutions and money lenders; Insurance corporations and Pension funds.
    • Июль 2024
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 28 июля, 2024
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      The total financial corporations sector liabilities measures the evolution of the sum of all liabilities (which includes Currency and deposits, Debt securities, Loans, Equity and investment fund shares/units, Insurance, pensions and standardised guarantee schemes, Financial derivatives and employee stock options and Other accounts payable) of the financial corporations sector. Data are presented in consolidated terms (i.e. data do not take into account transactions within the same sector), in Million units of national currency and for the sub-sectors: Central bank; Deposit-taking corporations except the central bank; MMF; Non-MMF investment funds; Other financial intermediaries, except insurance corporations and pension funds; Financial auxiliaries; Captive financial institutions and money lenders; Insurance corporations and Pension funds.
    • Июль 2024
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 28 июля, 2024
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      The total financial sector liabilities measures the evolution of the sum of all liabilities (which includes Currency and deposits, Debt securities, Loans, Equity and investment fund shares/units, Insurance, pensions and standardised guarantee schemes, Financial derivatives and employee stock options and Other accounts payable) of the financial corporations sector. Data are presented in non-consolidated terms (i.e. data take into account transactions within the same sector), in % of GDP and for the sub-sectors: Central bank; Deposit-taking corporations except the central bank; MMF; Non-MMF investment funds; Other financial intermediaries, except insurance corporations and pension funds; Financial auxiliaries; Captive financial institutions and money lenders; Insurance corporations and Pension funds.
    • Июль 2024
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 28 июля, 2024
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      The total financial sector liabilities measures the evolution of the sum of all liabilities (which includes Currency and deposits, Debt securities, Loans, Equity and investment fund shares/units, Insurance, pensions and standardised guarantee schemes, Financial derivatives and employee stock options and Other accounts payable) of the financial corporations sector. Data are presented in non-consolidated terms (i.e. data take into account transactions within the same sector), in million units of national currency and for the sub-sectors: Central bank; Deposit-taking corporations except the central bank; MMF; Non-MMF investment funds; Other financial intermediaries, except insurance corporations and pension funds; Financial auxiliaries; Captive financial institutions and money lenders; Insurance corporations and Pension funds.
    • Июль 2024
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 28 июля, 2024
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      The total financial sector liabilities measures the evolution of the sum of all liabilities (which includes Currency and deposits, Debt securities, Loans, Equity and investment fund shares/units, Insurance, pensions and standardised guarantee schemes, Financial derivatives and employee stock options and Other accounts payable) of the financial corporations sector. The data are presented in consolidated terms, i.e. data do not take into account transactions within the same sector. The data are expressed as 1 year % change, % of GDP and in Million units of national currency.
    • Июль 2024
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 28 июля, 2024
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      The total financial corporations sector liabilities measures the evolution of the sum of all liabilities (which includes Currency and deposits (F2), Debt securities (F3), Loans (F4), Equity and investment fund shares (F5), Insurance, pensions and standardised guarantees (F6), Financial derivatives and employee stock options (F7) and Other accounts payable (F8)) of the financial corporations sector (S12). Data are presented in non-consolidated terms, i.e. data take into account transactions within the same sector. Data are presented as 1 year % change, % of GDP and in Million units of national currency. Definitions regarding sectors and instruments are based on the ESA 2010. The MIP indicator is expressed as year over year growth rate, with an indicative threshold 16.5%. The headline indicator is calculated as 1 year % change.
  • U
  • W
    • Февраль 2019
      Источник: World Bank
      Загружен: Knoema
      Дата обращения к источнику: 11 февраля, 2021
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      The G20 Basic Set of Financial Inclusion data repository includes detailed data from users and providers of financial services. The Basic Set measures both access to financial services (“supply-side” data) and usage of services (“demand-side” data). The Basic Set covers both individuals and small and medium sized enterprises (SME’s) and includes data from three sources and 192 countries. The five basic set indicators are as follows: 1.The percentage of adults with a formal account; 2. The percentage of adults that use formal credit; 3. The percentage of SME’s with a formal account; 4. The percentage of SME’s that use formal credit; and 5. Bank branch penetration.