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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:  A B C F G I M O P S W
  • A
    • अप्रैल 2019
      Source: International Monetary Fund
      Uploaded by: Knoema
      Accessed On: 11 अप्रैल, 2019
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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 April 2019 Database:  FYR Macedonia is now called North Macedonia. In February 2019, Zimbabwe adopted a new local currency unit, the RTGS dollar, which has become the official unit of account. Efforts are underway to revise and update all national accounts series to the new RTGS dollar. Current data are based on IMF staff estimates of price and exchange rate developments in US (and RTGS) dollars. Staff estimates of US dollar values may differ from authorities’ estimates.
  • B
    • अक्तूबर 2019
      Source: International Monetary Fund
      Uploaded by: Knoema
      Accessed On: 28 अक्तूबर, 2019
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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.
    • मई 2019
      Source: International Monetary Fund
      Uploaded by: Knoema
      Accessed On: 28 मई, 2019
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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.
  • C
    • नवम्बर 2019
      Source: International Monetary Fund
      Uploaded by: Knoema
      Accessed On: 14 नवम्बर, 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.
    • दिसम्बर 2018
      Source: International Monetary Fund
      Uploaded by: Knoema
      Accessed On: 22 फरवरी, 2019
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      The CDIS database presents detailed data on "inward" direct investment positions (i.e., direct investment into the reporting economy) cross-classified by economy of immediate investor, and data on "outward" direct investment positions (i.e., direct investment abroad by the reporting economy) cross-classified by economy of immediate investment. The CDIS database contains breakdowns of direct investment position data, including, in most instances, separate data on net equity and net debt positions, as well as tables that present "mirror" data (i.e., tables in which data from the reporting economy are shown side-by-side with the data obtained from all other counterpart reporting economies).
    • सितम्बर 2019
      Source: International Monetary Fund
      Uploaded by: Knoema
      Accessed On: 24 सितम्बर, 2019
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      The Coordinated Portfolio Investment Survey (CPIS) is a voluntary data collection exercise conducted under the auspices of the IMF. An economy provides data on its holdings of portfolio investment securities (data are separately requested for equity and investment fund shares, long-term debt instruments, and short-term debt instruments).   Worldwide portfolio holdings of equity and investment fund shares (31 USD trillion) at end-2017 surpasses holdings of debt securities (29.7 USD trillion). After the peak of the financial crisis in 2008, the annual growth rate of equity holdings has exceeded substantially that for debt securities holdings. That pattern is similar in all the economies with the largest cross border portfolio assets and liabilities. As per G20 emerging economies, while the holdings of equity and investment fund shares had already been consistently higher than those of debt securities, during the last five years the gap has widened even further.
    • दिसम्बर 2015
      Source: International Monetary Fund
      Uploaded by: Knoema
      Accessed On: 18 अप्रैल, 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.
    • जून 2012
      Source: International Monetary Fund
      Uploaded by: Knoema
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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.
    • सितम्बर 2019
      Source: International Monetary Fund
      Uploaded by: Knoema
      Accessed On: 16 अक्तूबर, 2019
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      The Currency Composition of Official Foreign Exchange Reserves(COFER) database is managed by the Statistics Department of the International Monetary Fund (IMF). The COFER website disseminates end-of-period quarterly data on COFER in the format of statistical aggregates. The currencies identified in COFER are: U.S. dollar, Pound sterling, Japanese yen, Swiss francs, Canadian dollar, Australian dollar, and Euro.All other currencies are indistinguishably included in the category of “other currencies.”Prior to the introduction of Euro in 1999,several European currencies were separately identified in COFER. COFER data are reported to the IMF on a voluntary and confidential basis. COFER data for individual countries are strictly confidential. The data published on this website are aggregates for each currency for three groupings of countries (total,advanced economies, and emerging and developing economies).
  • F
    • अक्तूबर 2019
      Source: International Monetary Fund
      Uploaded by: Knoema
      Accessed On: 17 अक्तूबर, 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.
    • अगस्त 2019
      Source: International Monetary Fund
      Uploaded by: Knoema
      Accessed On: 16 अगस्त, 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
    • अक्तूबर 2019
      Source: International Monetary Fund
      Uploaded by: Knoema
      Accessed On: 18 अक्तूबर, 2019
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      Vulnerabilities in a Maturing Credit Cycle The October 2019 Global Financial Stability Report (GFSR) finds that despite significant variability over the past two quarters, financial conditions remain accommodative. As a result, financial vulnerabilities have continued to build in the sovereign, corporate, and non bank financial sectors in several systemically important countries, leading to elevated medium-term risks. The report attempts to provide a comprehensive assessment of these vulnerabilities while focusing specifically on corporate sector debt in advanced economies, the sovereign–financial sector nexus in the euro area, China’s financial imbalances, volatile portfolio flows to emerging markets, and downside risks to the housing market. These vulnerabilities require action by policymakers, including through the clear communication of any changes in their monetary policy outlook, the deployment and expansion of macroprudential tools, the stepping up of measures to repair public and private sector balance sheets, and the strengthening of emerging market resilience to foreign portfolio out flows. Downside Risks to House Prices The study and quantifies house prices at risk, a measure of downside risks to future house price growth—using theory, insights from past analyses, and new statistical techniques applied to 32 advanced and emerging market economies and major cities. The chapter finds that lower house price momentum, overvaluation, excessive credit growth, and tighter financial conditions predict heightened downside risks to house prices up to three years ahead. The measure of house prices at risk helps forecast downside risks to GDP growth and adds to early-warning models for financial crises. Policymakers can use estimates of house prices at risk to complement other surveillance indicators of housing market vulnerabilities and guide macroprudential policy actions aimed at building buffers and reducing vulnerabilities. Downside risks to house prices could also be relevant for monetary policymakers when forming their views on the downside risks to the economic and inflation outlook. Authorities considering measures to manage capital flows might also find such information useful when a surge in capital inflows increases downside risks to house prices and when other policy options are limited.
    • अगस्त 2019
      Source: International Monetary Fund
      Uploaded by: Knoema
      Accessed On: 09 अगस्त, 2019
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      This dataset provides an overview of government’s cash flows, as summarized in the Statement of Sources and Uses of Cash, for those countries compiling GFS on a noncash basis (for example, an accrual basis) and are also including a cash flow statement.
    • अक्तूबर 2019
      Source: International Monetary Fund
      Uploaded by: Knoema
      Accessed On: 24 अक्तूबर, 2019
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      This dataset provides a comprehensive view of the integrated balance sheet. In other words, changes between the opening and closing stock positions in assets and liabilities are explained through transactions, holding gains/losses, and other changes in the volume of assets and liabilities. Data on net investment in non-financial assets – a component of total expenditure – on its components and related stock positions are provided.
  • I
    • जुलाई 2019
      Source: International Monetary Fund
      Uploaded by: Knoema
      Accessed On: 18 जुलाई, 2019
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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.
    • अक्तूबर 2019
      Source: International Monetary Fund
      Uploaded by: Knoema
      Accessed On: 23 अक्तूबर, 2019
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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.
    • अक्तूबर 2019
      Source: International Monetary Fund
      Uploaded by: Knoema
      Accessed On: 17 अक्तूबर, 2019
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      The International Financial Statistics database covers about 200 countries and areas, with some aggregates calculated for selected regions, plus some world totals. Topics covered include balance of payments, commodity prices, exchange rates, fund position, government finance, industrial production, interest rates, international investment position, international liquidity, international transactions, labor statistics, money and banking, national accounts, population, prices, and real effective exchange rates. The International Financial Statistics is based on various IMF data collections. It includes exchange rates series for all Fund member countries plus Anguilla, Aruba, China, P.R.: Hong Kong, China, P.R.: Macao, Montserrat, and the Netherlands Antilles. It also includes major Fund accounts series, real effective exchange rates, and other world, area, and country series. Data are available for most IMF member countries with some aggregates calculated for select regions, plus some world totals. National Accounts, Indicators of Economic Activity, Labor Markets, Prices, Government and Public Sector Finance, Financial Indicators, Balance of Payments, International Investment Position, International Reserves, Fund Accounts, External Trade, Exchange Rates, and Population.
    • नवम्बर 2019
      Source: International Monetary Fund
      Uploaded by: Knoema
      Accessed On: 14 नवम्बर, 2019
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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.
    • दिसम्बर 2015
      Source: International Monetary Fund
      Uploaded by: Knoema
      Accessed On: 25 मार्च, 2016
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      This dataset provides comprehensive data for investment and capital stock for the general government, private sector and public-private partnerships, across the Fund member countries.
  • M
    • अक्तूबर 2019
      Source: International Monetary Fund
      Uploaded by: Knoema
      Accessed On: 07 नवम्बर, 2019
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      Economic developments in the Middle East, North Africa, Afghanistan, and Pakistan (MENAP) continue to reflect the diversity of conditions prevailing across the region. Most high-income oil exporters, primarily in the GCC, continue to record steady growth and solid economic and financial fundamentals, albeit with medium-term challenges that need to be addressed. In contrast, other countries --Iraq, Libya, Syria -- mired in conflicts with not just humanitarian but also economic consequences. And yet other countries, mostly oil importers, are making continued but uneven progress in advancing their economic agenda, often in tandem with political transitions and amidst difficult social conditions. In most of these countries, without extensive economic and structural reforms, economic prospects for the medium term remain insufficient to reduce high unemployment and improve living standards. Economic activity in the Caucasus and Central Asia (CCA) region is weakening, mainly because of the near-term slowdown and rising regional tensions affecting Russia, a key trading partner and sources of remittance and investment inflows, as well as weaker domestic demand in a number of CCA countries. Near-term risks are to the downside and tied to the fortunes of large trading partners. Policies need to focus on bolstering economic stability and, where needed, short-term support to ailing economic growth. In addition, a new model for high, sustained, diversified, and inclusive growth is needed to set the direction for economic policies for the next decade.
  • O
    • अक्तूबर 2019
      Source: International Monetary Fund
      Uploaded by: Knoema
      Accessed On: 24 अक्तूबर, 2019
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      Real effective exchange rates are assumed to remain constant at the levels prevailing during October 29-November 26, 2018. Economies are listed on the basis of economic size. The aggregated quarterly data are seasonally adjusted. WEO = World Economic Outlook.
  • P
    • अक्तूबर 2019
      Source: International Monetary Fund
      Uploaded by: Knoema
      Accessed On: 04 नवम्बर, 2019
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      Primary Commodity Price System (PCPS)
    • सितम्बर 2019
      Source: International Monetary Fund
      Uploaded by: Knoema
      Accessed On: 18 सितम्बर, 2019
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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. 
    • नवम्बर 2019
      Source: International Monetary Fund
      Uploaded by: Knoema
      Accessed On: 08 नवम्बर, 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).
    • अप्रैल 2015
      Source: International Monetary Fund
      Uploaded by: Shakthi Krishnan
      Accessed On: 13 अगस्त, 2015
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      Private fixed investment in advanced economies contracted sharply during the global financial crisis, and there has been little recovery since. Investment has generally slowed more gradually in the rest of the world. Although housing investment fell especially sharply during the crisis, business investment accounts for the bulk of the slump, and the overriding factor holding it back has been the overall weakness of economic activity. In some countries, other contributing factors include financial constraints and policy uncertainty. These findings suggest that addressing the general weakness in economic activity is crucial for restoring growth in private investment.
  • S
    • अप्रैल 2019
      Source: International Monetary Fund
      Uploaded by: Knoema
      Accessed On: 15 मई, 2019
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      The economic recovery in sub-Saharan Africa continues. Regional growth is set to pick up from 3 percent in 2018 to 3.5 percent in 2019, before stabilizing at close to 4 percent over the medium term. These region wide numbers mask considerable differences in the growth performance and prospects of countries across the region. About half of the region’s countries— mostly non-resource-intensive countries—are expected to grow at 5 percent or more, which would see per capita incomes rise faster than the rest of the world on average over the medium term. For all other countries, mostly resource-intensive countries, improvements in living standards will be slower. Notwithstanding these different economic prospects and policy priorities, countries share the challenge of strengthening resilience and creating higher, more inclusive and durable growth. Addressing these challenges requires building fiscal space and enhancing resilience to shocks by stepping up actions to mobilize revenues, alongside policies to boost productivity and private investment
    • फरवरी 2012
      Source: International Monetary Fund
      Uploaded by: Knoema
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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
    • अप्रैल 2019
      Source: International Monetary Fund
      Uploaded by: Sandeep Reddy
      Accessed On: 26 अप्रैल, 2019
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      The WHD Regional Economic Outlook (REO) provides information on recent economic developments and prospects for countries in the Western Hemisphere. Data for the Western Hemisphere REO are prepared in conjunction and are consistent with the semi-annual World Economic Outlook (WEO) exercises. REO aggregate data may differ from WEO aggregates due to differences in group membership. Composite data for country groups are weighted averages of data for individual countries. Arithmetic weighted averages are used for all concepts except for inflation and broad money, for which geometric averages are used. PPP GDP weights from the WEO database are used for the aggregation of real GDP growth, real non-oil GDP growth, real per capita GDP growth, investment, national savings, broad money, claims on the nonfinancial private sector, and real and nominal effective exchange rates. Aggregates for other concepts are weighted by GDP in U.S. dollars at market exchange rates.
    • मार्च 2019
      Source: International Monetary Fund
      Uploaded by: Sandeep Reddy
      Accessed On: 14 मई, 2019
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      The IMF’s World Revenue Longitudinal Data set (WoRLD) is a compilation of government tax and non-tax revenues from the IMF’s Government Finance Statistics and World Economic Outlook, and drawing on the OECD Revenue Statistics and Revenue Statistics in Latin American and the Caribbean.

हमारी गोपनीयता कथन और कुकी नीति

"हमारी वेबसाइट आपके ऑनलाइन अनुभव को बेहतर बनाने के लिए कुकीज़ का उपयोग करती है। जब आपने यह वेबसाइट लॉन्च की, तो उन्हें आपके कंप्यूटर पर रखा गया था। आप अपने इंटरनेट ब्राउज़र सेटिंग्स के माध्यम से अपनी व्यक्तिगत कुकी सेटिंग्स बदल सकते हैं।"

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