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International Monetary Fund

The International Monetary Fund (IMF) is an international organization that was initiated in 1944 at the Bretton Woods Conference and formally created in 1945 by 29 member countries. The IMF's stated goal was to assist in the reconstruction of the world's international payment system post–World War II. The IMF currently has a near-global membership of 188 countries. To become a member, a country must apply and then be accepted by a majority of the existing members. Upon joining, each member country of the IMF is assigned a quota, based broadly on its relative size in the world economy. The IMF provides policy advice and financing to members in economic difficulties and also works with developing nations to help them achieve macroeconomic stability and reduce poverty.

All datasets: B C E F G I P S W
  • B
    • December 2018
      Source: International Monetary Fund
      Uploaded by: Knoema
      Accessed On: 26 December, 2018
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      The Balance of Payments provides a framework that is applicable for a range of economies, from the smallest and least developed economies to the more advanced and complex economies. As a result, it is recognized that some items may not be relevant in all cases. The balance of payments is a statistical statement that summarizes transactions between residents and nonresidents during a period. It consists of the goods and services account, the primary income account, the secondary income account, the capital account, and the financial account. Contains balance of payments and international investment position (IIP) data of individual countries, jurisdictions, and other reporting entities, and regional and world totals for major components of the balance of payments. Both balance of payments and IIP data are presented in accordance with the standard components of the sixth edition of the Balance of Payments and International Investment Position Manual, BPM6. Balance of payments data are available for approximately 192 economies and international investment position data are available for approximately 152 economies.
  • C
    • January 2019
      Source: International Monetary Fund
      Uploaded by: Knoema
      Accessed On: 24 January, 2019
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      Consumer price indexes (CPIs) are index numbers that measure changes in the prices of goods and services purchased or otherwise acquired by households, which households use directly, or indirectly, to satisfy their own needs and wants. In practice, most CPIs are calculated as weighted averages of the percentage price changes for a specified set, or ‘‘basket’’, of consumer products, the weights reflecting their relative importance in household consumption in some period. CPIs are widely used to index pensions and social security benefits. CPIs are also used to index other payments, such as interest payments or rents, or the prices of bonds. CPIs are also commonly used as a proxy for the general rate of inflation, even though they measure only consumer inflation. They are used by some governments or central banks to set inflation targets for purposes of monetary policy. The price data collected for CPI purposes can also be used to compile other indices, such as the price indices used to deflate household consumption expenditures in national accounts, or the purchasing power parities used to compare real levels of consumption in different countries.
    • June 2012
      Source: International Monetary Fund
      Uploaded by: Pallavi S
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      The database includes all systemic banking, currency, and sovereign debt crises during the period 1970-2011. The data show some striking differences in policy responses between advanced and emerging economies as well as many similarities between past and ongoing crises. Note: Laeven, Luc and Fabian Valencia, 2010, Resolution of Banking Crises: The Good, the Bad, and the Ugly, IMF working paper 10/146.
  • E
  • F
    • February 2019
      Source: International Monetary Fund
      Uploaded by: Knoema
      Accessed On: 06 February, 2019
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      The Financial Soundness Indicators (FSIs) were developed by the IMF, together with the international community, with aim of supporting analysis and assessing strengths and vulnerabilities of financial systems. The Statistics Department of the IMF, disseminates data and metadata on selected FSIs provided by participating countries. For a description of the various FSIs, as well as the consolidation basis, consolidation adjustments, and accounting rules followed, please refer to the concepts and definitions document in the document tab. Reporting countries compile FSI data using different methodologies, which may also vary for different points in time for the same country. Users are advised to consult the accompanying metadata to conduct more meaning cross-country comparisons or to assess the evolution of a given FSI for any of the countries.
    • February 2019
      Source: International Monetary Fund
      Uploaded by: Knoema
      Accessed On: 12 February, 2019
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      The Reporting entities dataset provides information on the structure, size, and coverage of the financial institutions that are used for compiling financial soundness indicators. It provides a better understanding of the structure of the reporting entities in terms of the type of institution, number of entities, size of assets, and type of control. Reporting entities are domestically incorporated entities but are divided into two: domestically controlled and foreign controlled. The concepts of residency criterion and control are determined based on FSI Guide methodology which is in line with international best practices such as Systems of National Accounts. Data on reporting entities cover the branches, subsidiaries and the value of asset for both domestically and foreign controlled entities resident in the reporting country together their resident and non-resident subsidiaries.
  • G
    • January 2019
      Source: International Monetary Fund
      Uploaded by: Knoema
      Accessed On: 23 January, 2019
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      This dataset provides an overview of government operations and stock positions, as well as several derived balances. The Statement of Government Operations shows revenue and expense, with their main components, the operating balance and net lending/net borrowing, as well as financing. The Balance sheet shows stock positions in assets and liabilities, with their main components, as well as net worth and net financial worth. In addition, data on gross debt and net debt are included.
  • I
    • July 2015
      Source: International Monetary Fund
      Uploaded by: Knoema
      Accessed On: 20 July, 2015
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      The Primary Commodity Price data are updated monthly. Actual prices through July 9, 2015
    • July 2017
      Source: International Monetary Fund
      Uploaded by: Knoema
      Accessed On: 27 July, 2017
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      The Primary Commodity Price data are updated monthly. Note: Actual prices through 2017-Jul-13   The Primary Commodity Price data are updated monthly. Update available in: https://knoema.com/IMFPCP2015Apr/imf-primary-commodity-prices-monthly-update
    • May 2016
      Source: International Monetary Fund
      Uploaded by: Knoema
      Accessed On: 06 June, 2016
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      The Primary Commodity Price data are updated monthly. Note: Actual prices through 31-May-2016
    • February 2019
      Source: International Monetary Fund
      Uploaded by: Balaji S
      Accessed On: 13 February, 2019
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    • July 2017
      Source: International Monetary Fund
      Uploaded by: Knoema
      Accessed On: 10 October, 2017
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      Covering 187 countries including most low-income countries, the toolkit provides indicators on export product diversification and export product quality from 1962-2010. The measures in this toolkit are based on an updated version of the UN–NBER dataset, which harmonizes COMTRADE bilateral trade flow data at the 4-digit SITC (Rev. 1) level. The export diversification and quality database was developed by IMF staff under an IMF-DFID research collaboration. The Export Diversification Database has three main indicators: the Export Diversification Index, the Extensive Margin, and the Intensive Margin. Higher values for the all three indices indicate lower diversification. The Export Quality Database contains export quality measures across different aggregation levels of export products. Higher values for the quality indices indicate higher quality levels.
    • October 2018
      Source: International Monetary Fund
      Uploaded by: Knoema
      Accessed On: 23 October, 2018
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      The Fiscal Monitor surveys and analyzes the latest public finance developments, it updates fiscal implications of the crisis and medium-term fiscal projections, and assesses policies to put public finances on a sustainable footing.
    • July 2017
      Source: International Monetary Fund
      Uploaded by: Knoema
      Accessed On: 10 December, 2018
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      Indices in terms of dollars or SDRs, indices of market prices for non-fuel commodities and petroleum, actual market prices for non-fuel commodities and petroleum, and average weekly prices for non-fuel commodities and petroleum.
    • July 2017
      Source: International Monetary Fund
      Uploaded by: Knoema
      Accessed On: 20 June, 2018
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      BOPSY Global Tables aggregate country data by major balance of payments components and by international investment position (IIP) data for (i) Net IIP and (ii) Total Assets and Total Liabilities. Data for countries, country groups, and the world are provided. In addition to data reported by countries as shown in BOPSY, balance of payments data are provided for international organizations in BOPSY Global Tables. The BOPSY Global Tables include, in addition to reported data, data derived in a few instances indirectly from published sources. In addition to the 195 countries covered by the Balance of Payments Statistics (BOP), the BOP World and Regional Aggregates database contains data for 11 regions (country groups) including the world.
    • July 2018
      Source: International Monetary Fund
      Uploaded by: Knoema
      Accessed On: 16 July, 2018
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      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.
    • October 2018
      Source: International Monetary Fund
      Uploaded by: Knoema
      Accessed On: 15 October, 2018
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      The World Economic Outlook (WEO) database contains selected macroeconomic data series from the statistical appendix of the World Economic Outlook report, which presents the IMF staff's analysis and projections of economic developments at the global level, in major country groups and in many individual countries. The WEO is released in April and September/October each year. Use this database to find data on national accounts, inflation, unemployment rates, balance of payments, fiscal indicators, trade for countries and country groups (aggregates), and commodity prices whose data are reported by the IMF. Data are available from 1980 to the present, and projections are given for the next two years. Additionally, medium-term projections are available for selected indicators. For some countries, data are incomplete or unavailable for certain years.   Changes to the October 2018 DatabaseArgentina’s consumer prices, which were previously excluded from the group composites because of data constraints, are now included starting from 2017 onward.Data for Aruba are included in the data aggregated for the emerging market and developing economies. It is classified as a member of the Latin America and Caribbean.Egypt’s forecast data from which the nominal exchange rate assumptions are calculated that were previously excluded because the nominal exchange rate was a market-sensitive issue, are now made public.Swaziland is now called Eswatini.Venezuela redenominated its currency on August 20, 2018, by replacing 100,000 bolívares Fuertes (VEF) with 1 bolívar Soberano (VES). Local currency data, including the historical data, for Venezuela are expressed in the new currency beginning with the October 2018 WEO database.
  • P
    • July 2017
      Source: International Monetary Fund
      Uploaded by: Knoema
      Accessed On: 11 September, 2017
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      Price projections for 2 years ahead (quarterly) and 5 years ahead (annual) for fuel and non-fuel commodities.
    • November 2018
      Source: International Monetary Fund
      Uploaded by: Knoema
      Accessed On: 23 November, 2018
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      This dataset covers only Cross-Country-Concepts - Portfolio Investment related indicators. Please visit Principal Global Indicators - Data by Indicator for other set of Principal Global Indicators. 
    • February 2019
      Source: International Monetary Fund
      Uploaded by: Knoema
      Accessed On: 12 February, 2019
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      The Principal Global Indicators (PGI) dataset provides internationally comparable data for the Group of 20 economies (G-20) and economies with systemically important financial sectors that are not members of the G-20. The PGI facilitates the monitoring of economic and financial developments for these jurisdictions. Launched in 2009, the PGI website is hosted by the IMF and is a joint undertaking of the Inter-Agency Group of Economic and Financial Statistics (IAG).
  • S
    • February 2012
      Source: International Monetary Fund
      Uploaded by: Balaji S
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      This database covers the universe of systemic banking crises for the period 1970-2009, and also includes data on the resolution and fiscal and economic costs of banking crises. Note: Laeven, Luc and Fabian Valencia, 2010, Resolution of Banking Crises: The Good, the Bad, and the Ugly, IMF working paper 10/146.
  • W
    • December 2016
      Source: International Monetary Fund
      Uploaded by: Knoema
      Accessed On: 20 March, 2017
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      The World Commodity Exporters Database is a collection of key macro-fiscal  indicators covering 52 countries that are exporters of oil, gas, and metals (such as copper, gold, iron, and silver), where these commodities represent a large share of exports (20 percent or more of total exports) or fiscal revenues. The dataset was compiled from the following sources:  International Financial Statistics (IFS), Balance of Payments Statistics, Direction of Trade Statistics, World Economic Outlook, and FAD’s fiscal rules. Data for all variables of interest are collected on an annual basis from 1970 to 2014, where available.

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