Financial Access Survey (FAS) indicators are expressed as ratios to GDP, land area, or adult population to facilitate cross-economy comparisons. Provision of FAS data is voluntary.

The Financial Access Survey draws on the IMF's Monetary and Financial Statistics Manual and Compilation Guide (http://data.imf.org/api/document/download?key=61061648)

We argue that governments allocate adjustment burdens strategically to protect their supporters, imposing adjustment costs upon the supporters of their opponents, who then protest in response. Using large-N micro-level survey data from three world regions and a global survey, it discusses the local political economy of International Monetary Fund (IMF) lending. It finds that opposition supporters in countries under an IMF structural adjustment program (SAP) are more likely to report that the IMF SAP increased economic hardships than government supporters and countries without IMF exposure. In addition, it finds that partisan gaps in IMF SAP evaluations widen in IMF program countries with an above-median number of conditions, suggesting that opposition supporters face heavier adjustment burdens, and that opposition supporters who think SAPs made their lives worse are more likely to protest.

The Currency Composition ofOfficial 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 currencieswere 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, andemerging and developing economies).

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.

Country-specific data and projections for key fiscal variables are based on the April 2020 World Economic Outlook database, unless indicated otherwise, and compiled by the IMF staff. Historical data and projections are based on information gathered by IMF country desk officers in the context of their missions and through their ongoing analysis of the evolving situation in each country; they are updated on a continual basis as more information becomes available. Structural breaks in data may be adjusted to produce smooth series through splicing and other techniques. IMF staff estimates serve as proxies when complete information is unavailable. As a result, Fiscal Monitor data can differ from official data in other sources, including the IMF's International Financial Statistics.

The country classification in the Fiscal Monitor divides the world into three major groups: 35 advanced economies, 40 emerging market and middle-income economies, and 40 low-income developing countries. The seven largest advanced economies as measured by GDP (Canada, France, Germany, Italy, Japan, United Kingdom, United States) constitute the subgroup of major advanced economies, often referred to as the Group of Seven (G7). The members of the euro area are also distinguished as a subgroup. Composite data shown in the tables for the euro area cover the current members for all years, even though the membership has increased over time. Data for most European Union member countries have been revised following the adoption of the new European System of National and Regional Accounts (ESA 2010). The low-income developing countries (LIDCs) are countries that have per capita income levels below a certain threshold (currently set at $2,700 in 2016 as measured by the World Bank's Atlas method), structural features consistent with limited development and structural transformation, and external financial linkages insufficiently close to be widely seen as emerging market economies. Zimbabwe is included in the group. Emerging market and middle-income economies include those not classified as advanced economies or low-income developing countries. See Table A, "Economy Groupings," for more details.

Most fiscal data refer to the general government for advanced economies, while for emerging markets and developing economies, data often refer to the central government or budgetary central government only (for specific details, see Tables B-D). All fiscal data refer to the calendar years, except in the cases of Bangladesh, Egypt, Ethiopia, Haiti, Hong Kong Special Administrative Region, India, the Islamic Republic of Iran, Myanmar, Nepal, Pakistan, Singapore, and Thailand, for which they refer to the fiscal year.

Composite data for country groups are weighted averages of individual-country data, unless otherwise specified. Data are weighted by annual nominal GDP converted to U.S. dollars at average market exchange rates as a share of the group GDP.

In many countries, fiscal data follow the IMF's Government Finance Statistics Manual 2014. The overall fiscal balance refers to net lending (+) and borrowing ("") of the general government. In some cases, however, the overall balance refers to total revenue and grants minus total expenditure and net lending.

The fiscal gross and net debt data reported in the Fiscal Monitor are drawn from official data sources and IMF staff estimates. While attempts are made to align gross and net debt data with the definitions in the IMF's Government Finance Statistics Manual, as a result of data limitations or specific country circumstances, these data can sometimes deviate from the formal definitions.

United States US: IMF Account: Fund Position: Allocations of SDRs to Date data was reported at 35,315.681 XDR mn in 2017. This stayed constant from the previous number of 35,315.681 XDR mn for 2016. United States US: IMF Account: Fund Position: Allocations of SDRs to Date data is updated yearly, averaging 4,899.530 XDR mn from Dec 1945 (Median) to 2017, with 73 observations. The data reached an all-time high of 35,315.681 XDR mn in 2017 and a record low of 0.000 XDR mn in 1969. United States US: IMF Account: Fund Position: Allocations of SDRs to Date data remains active status in CEIC and is reported by International Monetary Fund. The data is categorized under Global Database’s United States – Table US.IMF.IFS: IMF Account: Fund Position: Annual.

The Financial Soundness Indicators (FSIs), developed by the IMF together with the international community, are aimed at supporting macroprudential analysis - the surveillance and assessment of the strengths and vulnerabilities of financial systems. FSIs are macroprudential statistics aimed at filling the gap between macroeconomic statistics and micro-prudential data.

FSIs are compiled based on the FSI Compilation Guide (https://www.imf.org/en/Data/Statistics/FSI-guide). Please see also the Concepts and Definitions document. The FSI Compilation Guide is revised periodically to reflect new developments in the regulatory and accounting frameworks and in response to additional data need.

This study examines the determinants influencing the likelihood of Sub-Saharan African (SSA) countries seeking assistance from the International Monetary Fund (IMF). The IMF, as a global institution, aims to promote sustainable growth and prosperity among its member countries by supporting economic strategies that foster financial stability and collaboration in monetary affairs. Utilising panel-probit regression, this study analyses data from thirty-nine SSA countries spanning from 2000 to 2022, focusing on twelve factors: Current Account Balance (CAB), inflation, corruption, General Government Net Lending and Borrowing (GGNLB), General Government Gross Debt (GGGD), Gross Domestic Product Growth (GDPG), United Nations Security Council (UNSC) involvement, regime types (Closed Autocracy, Electoral Democracy, Electoral Autocracy, Liberal Democracy) and China Loan. The results indicate that corruption and GDP growth rate have the most significant influence on the likelihood of SSA countries seeking IMF assistance. Conversely, factors such as CAB, UNSC involvement, LD and inflation show inconsequential effects. Notable, countries like Sudan, Burundi, and Guinea consistently rank high in seeking IMF assistance over various time frames within the observed period. Sudan emerges with a probability of more than 44% in seeking IMF assistance, holding the highest ranking. Study emphasises the importance of understanding SSA region rankings and the variability of variables for policymakers, investors, and international organisations to effectively address economic challenges and provide financial assistance.

United States US: IMF Account: Fund Position: Overdue Obligations data was reported at 0.000 XDR mn in Jun 2018. This stayed constant from the previous number of 0.000 XDR mn for Mar 2018. United States US: IMF Account: Fund Position: Overdue Obligations data is updated quarterly, averaging 0.000 XDR mn from Mar 1945 (Median) to Jun 2018, with 294 observations. United States US: IMF Account: Fund Position: Overdue Obligations data remains active status in CEIC and is reported by International Monetary Fund. The data is categorized under Global Database’s USA – Table US.IMF.IFS: IMF Account: Fund Position: Quarterly.

IMF World Economic Outlook (WEO) database. The IMF World Economic Outlook is a twice-yearly survey by IMF staff that presents IMF staff economists' analyses of global economic developments during th...

The Direction of Trade Statistics (DOTS) presents the value of merchandise exports and imports disaggregated according to a country's primary trading partners. Area and world aggregates are included in the display of trade flows between major areas of the world. Reported data is supplemented by estimates whenever such data is not available or current. Imports are reported on a cost, insurance and freight (CIF) basis and exports are reported on a free on board (FOB) basis, with the exception of a few countries for which imports are also available FOB. Time series data includes estimates derived from reports of partner countries for non-reporting and slow-reporting countries.

For further details, please see the Guide to Direction of Trade Statistics, 1993.

This collection includes only a subset of indicators from the source dataset.

This selection includes data related to SPC member countries and territories for some of the indicators available in the original database published by the IMF.

Find more Pacific data on PDH.stat.

Graph and download economic data for Imports of Goods and Services for Egypt (EGYBMUSD) from 2000 to 2025 about Egypt, REO, imports, goods, and services.

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.

United States US: IMF Account: Fund Position: USD: Lending to the Fund data was reported at 4.322 USD bn in Oct 2018. This records a decrease from the previous number of 4.502 USD bn for Sep 2018. United States US: IMF Account: Fund Position: USD: Lending to the Fund data is updated monthly, averaging 0.000 USD mn from Jan 1945 (Median) to Oct 2018, with 886 observations. The data reached an all-time high of 14.682 USD bn in Jun 2014 and a record low of 0.000 USD mn in Apr 2011. United States US: IMF Account: Fund Position: USD: Lending to the Fund data remains active status in CEIC and is reported by International Monetary Fund. The data is categorized under Global Database’s United States – Table US.IMF.IFS: IMF Account: Fund Position.

United States US: IMF Account: Fund Position: USD: Allocations of SDRs to Date data was reported at 48.811 USD bn in Oct 2018. This records a decrease from the previous number of 49.274 USD bn for Sep 2018. United States US: IMF Account: Fund Position: USD: Allocations of SDRs to Date data is updated monthly, averaging 5.158 USD bn from Jan 1945 (Median) to Oct 2018, with 886 observations. The data reached an all-time high of 57.245 USD bn in Apr 2011 and a record low of 0.000 USD mn in Dec 1969. United States US: IMF Account: Fund Position: USD: Allocations of SDRs to Date data remains active status in CEIC and is reported by International Monetary Fund. The data is categorized under Global Database’s United States – Table US.IMF.IFS: IMF Account: Fund Position.

Vietnam VN: IMF Account: Fund Position: Reserve Position in the Fund data was reported at 0.005 XDR mn in 2017. This stayed constant from the previous number of 0.005 XDR mn for 2016. Vietnam VN: IMF Account: Fund Position: Reserve Position in the Fund data is updated yearly, averaging 0.005 XDR mn from Dec 1945 (Median) to 2017, with 73 observations. The data reached an all-time high of 15.510 XDR mn in 1970 and a record low of 0.000 XDR mn in 1981. Vietnam VN: IMF Account: Fund Position: Reserve Position in the Fund data remains active status in CEIC and is reported by International Monetary Fund. The data is categorized under Global Database’s Vietnam – Table VN.IMF.IFS: IMF Account: Fund Position: Annual.

United States US: IMF Account: Fund Position: USD: UFC: General Resources Account data was reported at 0.000 USD mn in Jun 2018. This stayed constant from the previous number of 0.000 USD mn for Mar 2018. United States US: IMF Account: Fund Position: USD: UFC: General Resources Account data is updated quarterly, averaging 0.000 USD mn from Mar 1945 (Median) to Jun 2018, with 294 observations. United States US: IMF Account: Fund Position: USD: UFC: General Resources Account data remains active status in CEIC and is reported by International Monetary Fund. The data is categorized under Global Database’s USA – Table US.IMF.IFS: IMF Account: Fund Position: Quarterly.

United States US: IMF Account: Fund Position: USD: Fund Holdings of Currency data was reported at 101.440 USD bn in Jun 2018. This records a decrease from the previous number of 108.329 USD bn for Mar 2018. United States US: IMF Account: Fund Position: USD: Fund Holdings of Currency data is updated quarterly, averaging 8.801 USD bn from Mar 1945 (Median) to Jun 2018, with 294 observations. The data reached an all-time high of 109.184 USD bn in Mar 2016 and a record low of 0.000 USD mn in Sep 1946. United States US: IMF Account: Fund Position: USD: Fund Holdings of Currency data remains active status in CEIC and is reported by International Monetary Fund. The data is categorized under Global Database’s USA – Table US.IMF.IFS: IMF Account: Fund Position: Quarterly.

France FR: IMF Account: Fund Position: Quota data was reported at 20,155.100 XDR mn in 2017. This stayed constant from the previous number of 20,155.100 XDR mn for 2016. France FR: IMF Account: Fund Position: Quota data is updated yearly, averaging 2,878.500 XDR mn from Dec 1945 (Median) to 2017, with 73 observations. The data reached an all-time high of 20,155.100 XDR mn in 2017 and a record low of 450.000 XDR mn in 1946. France FR: IMF Account: Fund Position: Quota data remains active status in CEIC and is reported by International Monetary Fund. The data is categorized under Global Database’s France – Table FR.IMF.IFS: IMF Account: Fund Position: Annual.

Thailand TH: IMF Account: Fund Position: USD: Quota data was reported at 4.518 USD bn in Jun 2018. This records a decrease from the previous number of 4.670 USD bn for Mar 2018. Thailand TH: IMF Account: Fund Position: USD: Quota data is updated quarterly, averaging 294.701 USD mn from Mar 1945 (Median) to Jun 2018, with 294 observations. The data reached an all-time high of 4.670 USD bn in Mar 2018 and a record low of 0.000 USD mn in Mar 1949. Thailand TH: IMF Account: Fund Position: USD: Quota data remains active status in CEIC and is reported by International Monetary Fund. The data is categorized under Global Database’s Thailand – Table TH.IMF.IFS: IMF Account: Fund Position: Quarterly.