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.

For further details, please refer to Government Finance Statistics Manual 2014 (GFSM 2014)

Presents the balance sheet, statement of operations and statement of other economic flows for the public sector, compliant with the Government Finance Statistics Manual 2014: GFSM 2014 presentation.

This dataset provides a comprehensive view of government expense, including detailed classifications of compensation of employees, use of goods and services, consumption of fixed capital, interest payable, subsidies payable, grants payable, social benefits, and other expense.

This dataset provides an overview of total financial assets and liabilities classified by the sector to which the counterparty claim belongs. The counterpart sectors include nonfinancial corporations, the central bank, deposit taking corporations, other financial corporation sectors, government sectors, international organizations, external financial corporations, external general government, and other external sectors.

For further details, please refer to Government Finance Statistics Manual 2014 (GFSM 2014)

This dataset provides a comprehensive view of government revenue, including detailed classifications of taxes, social contributions, grants receivable, and other revenue.

The International Monetary Fund (IMF) Government Finance Statistics (GFS) database provides current and internationally comparable annual time series data on the finances and fiscal policies of IMF member governments from 1972 onwards. Topics covered include:

• deficit/surplus or total financing
• revenues or grants, expenditures
• lending minus repayments
• domestic financing
• foreign financing
• domestic debt or total debt, and foreign debt

The dataset is downloaded from the official website of the International Monetary Fund.

Content

Government Finance Statistics (GFS) database contains Fiscal data for all reporting countries in the framework of the Government Finance Statistics Manual (GFSM) 2014. It includes detailed data on expenditures and revenue and includes data for the general government sector and its subsectors (ex. The central government, state government, local government, and social security funds).

The Historical Public Debt Database contains Debt-to-GDP ratios for 187 countries.

The unit of value in data tables is Percent to GDP.

E- Learning related to Data

• Government Finance Statistics Manual
• Sectors of Government Finance Statistics
• Sector Classification in Government Finance Statistics
• Government Revenue Statistics
• Government Expense Statistics

Interesting Ideas

• Explore different country-level financial statistics.
• Time series forecasting
• Combine all 3 datasets and predict debt to GDP ratio.

This dataset provides a comprehensive view of the functions, or socioeconomic objectives, that government aims to achieve through various kinds of expenditure, comprising detailed classifications of general public service, defense, public order and safety, economic affairs, environment protection, housing and community services, health, recreation, culture and religion, education, and social protection services.

For further details, please refer to Government Finance Statistics Manual 2014 (GFSM 2014)

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 nonfinancial assets – a component of total expenditure – on its components and related stock positions are provided.

Switzerland IMF Forecast: General Government: Revenue: % of GDP data was reported at 33.329 % in 2023. This stayed constant from the previous number of 33.329 % for 2022. Switzerland IMF Forecast: General Government: Revenue: % of GDP data is updated yearly, averaging 32.416 % from Dec 1990 (Median) to 2023, with 34 observations. The data reached an all-time high of 33.497 % in 2015 and a record low of 28.201 % in 1991. Switzerland IMF Forecast: General Government: Revenue: % of GDP data remains active status in CEIC and is reported by International Monetary Fund. The data is categorized under Global Database’s Switzerland – Table CH.IMF.FM: Government Finance Statistics.

TH: IMF Forecast: General Government: Balance: % of Potential GDP: Cyclically Adjusted data was reported at -1.334 % in 2023. This records a decrease from the previous number of -1.253 % for 2022. TH: IMF Forecast: General Government: Balance: % of Potential GDP: Cyclically Adjusted data is updated yearly, averaging -0.649 % from Dec 1995 (Median) to 2023, with 29 observations. The data reached an all-time high of 2.674 % in 1995 and a record low of -7.386 % in 1999. TH: IMF Forecast: General Government: Balance: % of Potential GDP: Cyclically Adjusted 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.

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.

These time series present combined statistics on detailed revenues and expenditures for all levels of government. Topics covered include deficit/surplus or total financing, revenues or grants, expenditures, lending minus repayments, domestic financing, foreign financing, domestic debt or total debt, and foreign debt. Annual data are supplied for central government accounts and different levels of government in these categories: (1) central government budgetary accounts, (2) central government consolidated accounts, (3) central government extra budgetary accounts, (4) central government Social Security Funds, (5) state or province governments, (6) local governments, and (7) general governments.

Ivory Coast CI: General Government: Expenditure: % of GDP data was reported at 22.851 % in 2023. This records an increase from the previous number of 22.804 % for 2022. Ivory Coast CI: General Government: Expenditure: % of GDP data is updated yearly, averaging 20.516 % from Dec 1997 (Median) to 2023, with 27 observations. The data reached an all-time high of 23.365 % in 2017 and a record low of 15.812 % in 2001. Ivory Coast CI: General Government: Expenditure: % of GDP data remains active status in CEIC and is reported by International Monetary Fund. The data is categorized under Global Database’s Ivory Coast – Table CI.IMF.FM: Government Finance Statistics.

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Dane GFS miesięczne, publikowane zgodnie ze Specjalnym Standardem Udostępniania Danych (SDDS) założonym przez Międzynarodowy Fundusz Walutowy. Informacja zawiera dane miesięczne o źródłach i sposobie wydatkowania środków pieniężnych przez jednostki szczebla centralnego sektora instytucji rządowych i samorządowych opracowane przy użyciu definicji i klasyfikacji stosowanych przez MFW w systemie statystycznym GFSM2001 (A Government Finance Statistics Manual 2001 MFW 2001) oraz uwagi metodologiczne.

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.

GFS model International comparability of Swiss financial statistics data is ensured with the GFS Model, which applies the financial statistics standard of the International Monetary Fund. This standard is described in the Government Finance Statistics Manual (GFSM 2014). ### FS model National comparability is achieved with the FS Model, which is based on the Harmonized Accounting Model for the Cantons and Communes (HAM2) and is thus inspired by the International Public Sector Accounting Standards (IPSAS). Standard evaluations with the FS Model always contain the statement of financial position, statement of financial performance and financing statement in the economic classification. Furthermore, receipts and expenditure are shown by function in the financing statement. In the 2008 fiscal year, the financial statistics were adjusted to new standards. There is therefore limited comparability with the figures prior to 2008 in the national FS Model. In the 2008 fiscal year, the financial statistics were adjusted to new standards. There is therefore limited comparability with the figures prior to 2008 in the national FS Model.

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.

Vietnam VN: IMF Forecast: General Government: Gross Debt: % of GDP data was reported at 58.120 % in 2023. This records an increase from the previous number of 57.648 % for 2022. Vietnam VN: IMF Forecast: General Government: Gross Debt: % of GDP data is updated yearly, averaging 48.237 % from Dec 2000 (Median) to 2023, with 24 observations. The data reached an all-time high of 59.942 % in 2016 and a record low of 31.432 % in 2000. Vietnam VN: IMF Forecast: General Government: Gross Debt: % of GDP 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.FM: Government Finance Statistics.