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The IMF has a great inflation database, but it relies on countries to provide their latest data to the IMF, and as such, it can be temporarily out of date. This database will keep the IMF inflation database up to date for African countries by scraping data from individual countries' websites as soon as they release their data and combining it with the latest IMF data. This Africa inflation database powers the ADH Inflation Observer. All 3 datasets found here contain the same data, but in different shapes to suit different applications.
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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...
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Ghana GH: IMF Account: Fund Position: SDRs data was reported at 73.200 XDR mn in 2017. This records a decrease from the previous number of 127.638 XDR mn for 2016. Ghana GH: IMF Account: Fund Position: SDRs data is updated yearly, averaging 0.782 XDR mn from Dec 1945 (Median) to 2017, with 73 observations. The data reached an all-time high of 291.309 XDR mn in 2010 and a record low of 0.000 XDR mn in 1970. Ghana GH: IMF Account: Fund Position: SDRs data remains active status in CEIC and is reported by International Monetary Fund. The data is categorized under Global Database’s Ghana – Table GH.IMF.IFS: IMF Account: Fund Position: Annual.
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.
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.
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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.
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Pakistan External Debt: Public: International Monetary Fund (IMF) data was reported at 5.962 USD bn in Sep 2018. This records a decrease from the previous number of 6.095 USD bn for Jun 2018. Pakistan External Debt: Public: International Monetary Fund (IMF) data is updated quarterly, averaging 5.439 USD bn from Jun 2006 (Median) to Sep 2018, with 50 observations. The data reached an all-time high of 8.940 USD bn in Jun 2011 and a record low of 1.239 USD bn in Sep 2008. Pakistan External Debt: Public: International Monetary Fund (IMF) data remains active status in CEIC and is reported by State Bank of Pakistan. The data is categorized under Global Database’s Pakistan – Table PK.JB011: External Debt.
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India External Debt: USD: IMF data was reported at 21.581 USD bn in Dec 2024. This records a decrease from the previous number of 22.445 USD bn for Sep 2024. India External Debt: USD: IMF data is updated quarterly, averaging 5.534 USD bn from Sep 1999 (Median) to Dec 2024, with 102 observations. The data reached an all-time high of 23.314 USD bn in Sep 2021 and a record low of 0.000 USD mn in Dec 2003. India External Debt: USD: IMF data remains active status in CEIC and is reported by Ministry of Finance. The data is categorized under Global Database’s India – Table IN.FK003: External Debt:: USD.
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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.
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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.
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Thailand TH: IMF Forecast: General Government: Primary Balance: % of GDP data was reported at -0.658 % in 2023. This records a decrease from the previous number of -0.649 % for 2022. Thailand TH: IMF Forecast: General Government: Primary Balance: % of GDP data is updated yearly, averaging -0.107 % from Dec 2000 (Median) to 2023, with 24 observations. The data reached an all-time high of 3.254 % in 2006 and a record low of -5.505 % in 2002. Thailand TH: IMF Forecast: General Government: Primary Balance: % of GDP 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.FM: Government Finance Statistics.
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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.
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FR: IMF Account: Fund Position: USD: Allocations of SDRs to Date data was reported at 14.432 USD bn in 2017. This records an increase from the previous number of 13.624 USD bn for 2016. FR: IMF Account: Fund Position: USD: Allocations of SDRs to Date data is updated yearly, averaging 1.128 USD bn from Dec 1945 (Median) to 2017, with 73 observations. The data reached an all-time high of 15.887 USD bn in 2009 and a record low of 0.000 USD mn in 1969. FR: 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 France – Table FR.IMF.IFS: IMF Account: Fund Position: Annual.
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Senegal SN: IMF Account: Fund Position: Overdue Obligations data was reported at 0.000 XDR mn in 2017. This stayed constant from the previous number of 0.000 XDR mn for 2016. Senegal SN: IMF Account: Fund Position: Overdue Obligations data is updated yearly, averaging 0.000 XDR mn from Dec 1945 (Median) to 2017, with 73 observations. The data reached an all-time high of 0.030 XDR mn in 1987 and a record low of 0.000 XDR mn in 2017. Senegal SN: 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 Senegal – Table SN.IMF.IFS: IMF Account: Fund Position: Annual.
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Moldova MD: IMF Account: Fund Position: USD: Quota data was reported at 240.681 USD mn in Sep 2018. This records a decrease from the previous number of 242.634 USD mn for Jun 2018. Moldova MD: IMF Account: Fund Position: USD: Quota data is updated quarterly, averaging 0.000 USD mn from Mar 1945 (Median) to Sep 2018, with 295 observations. The data reached an all-time high of 250.792 USD mn in Mar 2018 and a record low of 0.000 USD mn in Jun 1992. Moldova MD: 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 Moldova – Table MD.IMF.IFS: IMF Account: Fund Position: Quarterly.
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Chad TD: IMF Account: Fund Position: Allocations of SDRs to Date data was reported at 187.996 XDR mn in 2024. This stayed constant from the previous number of 187.996 XDR mn for 2023. Chad TD: IMF Account: Fund Position: Allocations of SDRs to Date data is updated yearly, averaging 9.409 XDR mn from Dec 1945 (Median) to 2024, with 80 observations. The data reached an all-time high of 187.996 XDR mn in 2024 and a record low of 0.000 XDR mn in 1969. Chad TD: 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 Chad – Table TD.IMF.IFS: IMF Account: Fund Position: Annual.
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Trinidad and Tobago TT: IMF Account: Fund Position: USD: Allocations of SDRs to Date data was reported at 450.035 USD mn in Aug 2018. This records a decrease from the previous number of 451.152 USD mn for Jul 2018. Trinidad and Tobago TT: IMF Account: Fund Position: USD: Allocations of SDRs to Date data is updated monthly, averaging 48.405 USD mn from Jan 1945 (Median) to Aug 2018, with 884 observations. The data reached an all-time high of 520.547 USD mn in Apr 2011 and a record low of 0.000 USD mn in Dec 1969. Trinidad and Tobago TT: 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 Trinidad and Tobago – Table TT.IMF.IFS: IMF Account: Fund Position.
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Brazil BR: IMF Account: Fund Position: USD: Lending to the Fund data was reported at 698.965 USD mn in 2017. This records a decrease from the previous number of 1.042 USD bn for 2016. Brazil BR: IMF Account: Fund Position: USD: Lending to the Fund data is updated yearly, averaging 0.000 USD mn from Dec 1945 (Median) to 2017, with 73 observations. The data reached an all-time high of 1.751 USD bn in 2013 and a record low of 0.000 USD mn in 2010. Brazil BR: 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 Brazil – Table BR.IMF.IFS: IMF Account: Fund Position: Annual.
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The IMF has a great inflation database, but it relies on countries to provide their latest data to the IMF, and as such, it can be temporarily out of date. This database will keep the IMF inflation database up to date for African countries by scraping data from individual countries' websites as soon as they release their data and combining it with the latest IMF data. This Africa inflation database powers the ADH Inflation Observer. All 3 datasets found here contain the same data, but in different shapes to suit different applications.