Daily overview of federal revenue collections such as income tax deposits, customs duties, fees for government service, fines, and loan repayments.
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Government Revenues in Canada decreased to 39258 CAD Million in May from 40329 CAD Million in April of 2025. This dataset provides - Canada Government Revenues- actual values, historical data, forecast, chart, statistics, economic calendar and news.
https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain
Graph and download economic data for National Totals of State and Local Tax Revenue: Total Taxes for the United States (QTAXTOTALQTAXCAT1USNO) from Q1 1992 to Q1 2025 about state & local, revenue, tax, government, and USA.
This summary table shows, for Budget Receipts, the total amount of activity for the current month, the current fiscal year-to-date, the comparable prior period year-to-date and the budgeted amount estimated for the current fiscal year for various types of receipts (i.e. individual income tax, corporate income tax, etc.). The Budget Outlays section of the table shows the total amount of activity for the current month, the current fiscal year-to-date, the comparable prior period year-to-date and the budgeted amount estimated for the current fiscal year for agencies of the federal government. The table also shows the amounts for the budget/surplus deficit categorized as listed above. This table includes total and subtotal rows that should be excluded when aggregating data. Some rows represent elements of the dataset's hierarchy, but are not assigned values. The classification_id for each of these elements can be used as the parent_id for underlying data elements to calculate their implied values. Subtotal rows are available to access this same information.
https://www.icpsr.umich.edu/web/ICPSR/studies/34273/termshttps://www.icpsr.umich.edu/web/ICPSR/studies/34273/terms
The State Tax Revolt Data Set is a time-series, cross sectional data collection assembled from publicly available sources. It includes data on tax and expenditure limitation policies and selected covariates, observed annually for the 50 United States over the period of 1960-1992. Data were collected for variables both during the fiscal year and at the end of the fiscal year. Data collected at the end of the fiscal year include: (1) long-term and short-term debt of state and local governments, and (2) the total cash held by the state and its local governments. Data collected during the fiscal year include: (1) the total intergovernmental revenue from the federal government to the state and its local governments, (2) the total direct general revenue of the state and its local governments, (3) the total tax revenue of the state and its local governments, (4) total property tax revenue of the state and its local governments, (5) the total direct general expenditure of the state and its local governments, (6) the total direct general expenditure of the state and its local governments on "public welfare", (7) the total number of homeowners' associations in the state. Additional data were collected on: (1) the percentage of randomly sampled adults who said that the local property tax was "the worst tax--that is, the least fair", (2) the percentage of households in the state that were owner-occupied, the percentage of the state's population that the Census classified as "urban", (3) the estimated total personal income in the state, (4) the population of the state, (5) the estimated percentage of the state's population that was not White, (6) the estimated percentage of the state's population that was Black, (7) the total state and local spending on education during the fiscal year and, (8) the estimated number of union members as a percentage of the state's labor force.
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These tables show total cash-based revenues, as set out in the general statement of the federal budget. These are tax and non-tax revenues collected by federal authorities. These are all tax revenues collected by the FPS Finance, including revenue that is subsequently transferred to other public authorities or institutions, with the exception of local authorities. As indicated, these tables follow Belgian budgetary practices that deviate from the ESA-2010 classification set out inter alia in the National Accounts and the “Detailed Inventories of Taxes” (European Commission). “Total revenue” (I) is then divided into revenue financed by other public authorities (II) and Ways and Means (III = I-II): “total revenue collected for financing other public authorities” consists of revenue transferred to the European Union, assigned revenue (mainly social security) and resources financing the Communities and Regions. Revenues collected by the federal government but transferred to local authorities (e.g. municipal additional cents and in the past, additional cents to the real estate tax for provinces and municipalities) are not included in the tables. When the Communities and Regions take over the regional tax department (collection) (of the federal government), these revenues will no longer be included in the statistics on the revenue collected by the federal government. The ‘ways and means’ are equal to the ‘total revenues’ received by the federal government, minus ‘federal revenues collected for the financing of other powers’. This amount is included in the budget of the Ways and Means. Parliament votes each year the Ways and Means Budget in order to sanction the laws and regulations under which the State’s revenue is collected. All series of figures appear both on an annual basis (Y) and on a monthly basis (M).
https://www.icpsr.umich.edu/web/ICPSR/studies/38308/termshttps://www.icpsr.umich.edu/web/ICPSR/studies/38308/terms
This dataset presents information on historical central government revenues for 31 countries in Europe and the Americas for the period from 1800 (or independence) to 2012. The countries included are: Argentina, Australia, Austria, Belgium, Bolivia, Brazil, Canada, Chile, Colombia, Denmark, Ecuador, Finland, France, Germany (West Germany between 1949 and 1990), Ireland, Italy, Japan, Mexico, New Zealand, Norway, Paraguay, Peru, Portugal, Spain, Sweden, Switzerland, the Netherlands, the United Kingdom, the United States, Uruguay, and Venezuela. In other words, the dataset includes all South American, North American, and Western European countries with a population of more than one million, plus Australia, New Zealand, Japan, and Mexico. The dataset contains information on the public finances of central governments. To make such information comparable cross-nationally the researchers chose to normalize nominal revenue figures in two ways: (i) as a share of the total budget, and (ii) as a share of total gross domestic product. The total tax revenue of the central state is disaggregated guided by the Government Finance Statistics Manual 2001 of the International Monetary Fund (IMF) which provides a classification of types of revenue, and describes in detail the contents of each classification category. Given the paucity of detailed historical data and the needs of our project, researchers combined some subcategories. First, they were interested in total tax revenue, as well as the shares of total revenue coming from direct and indirect taxes. Further, they measured two sub-categories of direct taxation, namely taxes on property and income. For indirect taxes, they separated excises, consumption, and customs.
This table shows the gross receipts, refunds and net receipts for the current month, the current fiscal year-to-date and the prior fiscal year-to-date for the various receipts of the federal government. This table includes total and subtotal rows that should be excluded when aggregating data. Some rows represent elements of the dataset's hierarchy, but are not assigned values. The classification_id for each of these elements can be used as the parent_id for underlying data elements to calculate their implied values. Subtotal rows are available to access this same information.
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Government Revenues in Brazil increased to 234594 BRL Million in June from 230152 BRL Million in May of 2025. This dataset provides - Brazil Government Revenues- actual values, historical data, forecast, chart, statistics, economic calendar and news.
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10/01/2004 — 12/27/2023 Last Updated 12/28/2023 The U.S. Government Revenue Collections dataset provides a daily overview of federal revenue collections such as individual and corporate income tax deposits, customs duties, fees for government service, fines, and loan repayments. These collections can be made through either electronic or non-electronic transactions by mail, internet, bank, or over-the-counter channels.
field_name | display_name | data_type |
---|---|---|
record_date | Record Date | DATE |
electronic_category_desc | Electronic Category Description | STRING |
channel_type_desc | Channel Type Description | STRING |
tax_category_desc | Tax Category Description | STRING |
net_collections_amt | Net Collections Amount | CURRENCY |
electronic_category_id | Electronic Category ID | NUMBER |
channel_type_id | Channel Type ID | NUMBER |
tax_category_id | Tax Category ID | NUMBER |
src_line_nbr | Source Line Number | INTEGER |
record_fiscal_year | Fiscal Year | YEAR |
record_fiscal_quarter | Fiscal Quarter Number | QUARTER |
record_calendar_year | Calendar Year | YEAR |
record_calendar_quarter | Calendar Quarter Number | QUARTER |
record_calendar_month | Calendar Month Number | MONTH |
record_calendar_day | Calendar Day Number | DAY |
##
display_name description Record Date The date that data was published. Electronic Category Description There are four electronic categories, which are mutually exclusive. The four categories are: 1. Fully Electronic - All - The government (Agency and Fiscal Service) processes these transactions electronically (Example: EFTPS transactions). 2. Fully Electronic - FS - Fiscal Service programs process these transactions electronically, but an agency processes some aspect of these transactions non-electronically (Example: OTC net electronic check transactions). 3. Electronic Settlement - Fiscal Service programs settle these transactions electronically, but also process some aspect of these transactions non-electronically (Example: Lockboxes and ECP). 4. Non-Electronic - The government processes these transactions non-electronically (Example: OTC net cash deposits). Channel Type Description Channel Program is the collections program reporting the data to Collections Information Repository (CIR). In most cases, the collection program name is synonymous with the concatenation of the Reporting Program and the Source Processing Program within CIR. However, Fiscal Service has provided derivation rules to enable specific breakdowns. The report lists the Channel Programs alphabetically within each collections channel. The four types are: 1. Over-the-Counter (OTC) - The OTC channel exists for collection information presented by the public or an agency to an agent or depositary in person or via an electronic terminal. 2. Mail - The mail channel exists for collection information presented by the public to an agent or depositary by mail. 3. Internet - The internet channel exists for collection information presented by the public or an agency to an agent or depositary over the Internet. It includes online banking transactions initiated by the public through private third party applications and received by an agent or depositary through a defined interface. 4. Bank - The bank channel exists for collection transactions presented by a member of the public to an agent or depositary through closed banking networks. It includes Automated Clearing House credit and Fedwire collection transactions. Tax Category Description There are five tax categories, which are not mutually exclusive. The Tax Category Total contains the sum of the Non-Tax and Internal Revenue Service (IRS) Tax amounts. The five categories are: 1. Non-Tax - Sum of IRS-Non-Tax and Non-Tax (other than IRS Non-Tax). 2. IRS Non-Tax - Collections for ALCs (Agency Location Codes) that begin with 2009 but do not include any of the IRS Service Centers. 3. IRS Tax - Collections for the IRS Service Center ALCs. 4. Non-Tax (other than IRS Non-Tax) - Collections that do not begin with ALC 2009. 5. IRS Tax & IRS Non-Tax - Sum of IRS Non-Tax and IRS Tax. Net Collections Amount Dollar amount of transaction. Electronic Category ID Identifier for the Electronic Category Description field. Channel Type ID Identifier for the Channel Type Des...
The GTED collects all publicly available data on tax expenditures (TEs) published by national governments worldwide from 1990 onwards, covering a total of 218 jurisdictions. Based on a step-by-step search process, 109 jurisdictions are currently classified as Non-reporting Jurisdictions. The remaining 109 ones do provide some type of TE data, which was gathered by the GTED team.
Wherever available, the GTED gathers revenue forgone estimates and number of beneficiaries of individual TE provisions. It also gathers metadata including the definition of the TE provision, its legal basis and duration.
Each record in the GTED is classified in four main categories: Tax Type, Policy Objective, Beneficiaries and Type of TE used. In some cases, second- or third-level categories have been introduced. For instance, Fuel Tax data is categorised at the third level within Tax Type: Taxes on Good and Services Excise Taxes Fuel Tax. If the information for a record is not available or unclear, the respective category is classified as Not stated/unclear.
When governments do not publish provision-level data but rather some kind of aggregated information, the GTED gathers this aggregate data. Likewise, if governments report on specific areas of TE only (such as tax incentives for investments, or TEs on income taxes) the GTED presents data on these areas alone. The terms TE reporting or TE report are used broadly, and refer to a large variety of public documents, ranging from annual, comprehensive reports on TEs that are part of governmental budget documentation to individual documents issued by a public body and providing some aggregate information on some specific TE mechanisms. As a minimum requirement, reports must contain some kind of information on the actual use of TE provisions. For instance, a list of available tax deductions for investments, provided by a governmental investment promotion agency, would not be considered a TE report unless they provide revenue forgone estimates or any other data that would allow users of the GTED to obtain information about the actual use of the respective TEs.
The GTED distinguishes regular and irregular reporting. A sequence of reports from 1995 to 2005 would not be considered regular reporting in the GTED, since the country had reported on a yearly basis, but not anymore. Likewise, regular is not necessarily related to annual reporting. Germany, for instance, publishes federal subsidy reports including TE data every two years since 1967. A total of 16 such reports have been issued since 1990, containing data on 29 budget years (until 2021). The GTED counts this as 31 years reported, because data is provided on a year-by-year basis and can be consulted and analysed as such.
The data is processed in a consistent format seeking to increase the level of longitudinal and cross-country comparability. Whereas revenue forgone estimates are provided as reported by governments (in local currency units, current prices), the GTED also provides figures converted into US dollars as well as indicators providing the revenue forgone through TE provisions as shares both of GDP and Tax Revenue – to compute these two indicators, data from the UNU-WIDER Government Revenue Dataset is used as input. The share of revenue forgone as a percentage of Tax Revenue is computed using figures of total tax revenue collected by countries' central governments. The share of revenue forgone as a percentage of Tax Revenue is computed using figures of total tax revenue collected by countries' central governments.
Besides all the effort put into ensuring comparability, cross-country analysis of TE data needs to be done cautiously. The main issue, which is inherent to TE data, regards benchmarking. TEs are defined as departures from – usually country-specific – normal tax structures or benchmarks. On this note, the GTED uses the data published by official governmental institutions, sticking to their own definitions of benchmarks, without trying to complement official figures or challenge what different countries consider as the standard tax system or the benchmark.
When it comes to the methodology used by governments to compute the fiscal cost of TE provisions, the vast majority of countries report on TEs based on the revenue forgone approach that estimates the amount by which taxpayers have their tax liabilities reduced as a result of a TE based on their actual current economic behaviour. Since the revenue forgone methodology is static, the potential interconnections between different TE provisions are not taken into account when computing the fiscal cost of TEs based on it. Hence, aggregating revenue forgone estimates of the individual provisions computed separately and without taking behavioural changes into account would not result in a figure that represents the total cost of all TEs.
While providing users of the database with the opportunity to draw comparisons across countries or country groups, we want to be clear that any such comparison should be mindful of different levels of reporting, differences in national benchmark systems and methodological shortcomings of revenue forgone estimations.
Country Income Groups and Regional Classifications are based on the latest World Bank classifications.
This dataset contains revenue source level data for revenue actuals. Dataset is intended to match charts and tables in the "Tax Revenue" section of the Mayor`s Message publication. The amount is in millions of dollars. Data are from FY2001 and updated once a year.
This table shows the gross outlays, applicable receipts and net outlays for the current month, current fiscal year-to-date and prior fiscal year-to-date by various agency programs accounted for in the budget of the federal government. This table includes total and subtotal rows that should be excluded when aggregating data. Some rows represent elements of the dataset's hierarchy, but are not assigned values. The classification_id for each of these elements can be used as the parent_id for underlying data elements to calculate their implied values. Subtotal rows are available to access this same information.
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Government Revenues in India increased to 941395 INR Tens of Million in June from 732963 INR Tens of Million in May of 2025. This dataset provides - India Government Revenues- actual values, historical data, forecast, chart, statistics, economic calendar and news.
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United States US: Revenue and Grants: Revenue: Tax Revenue: % of GDP data was reported at 10.893 % in 2016. This records a decrease from the previous number of 11.239 % for 2015. United States US: Revenue and Grants: Revenue: Tax Revenue: % of GDP data is updated yearly, averaging 10.893 % from Sep 1972 (Median) to 2016, with 45 observations. The data reached an all-time high of 12.928 % in 2000 and a record low of 7.936 % in 2009. United States US: Revenue and Grants: Revenue: Tax Revenue: % of GDP data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s United States – Table US.World Bank.WDI: Government Revenue, Expenditure and Finance. Tax revenue refers to compulsory transfers to the central government for public purposes. Certain compulsory transfers such as fines, penalties, and most social security contributions are excluded. Refunds and corrections of erroneously collected tax revenue are treated as negative revenue.; ; International Monetary Fund, Government Finance Statistics Yearbook and data files, and World Bank and OECD GDP estimates.; Weighted average;
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United States US: Revenue and Grants: Revenue: Customs and Other Import Duties: % of Tax Revenue data was reported at 1.850 % in 2016. This records a decrease from the previous number of 1.872 % for 2015. United States US: Revenue and Grants: Revenue: Customs and Other Import Duties: % of Tax Revenue data is updated yearly, averaging 2.142 % from Sep 1972 (Median) to 2016, with 45 observations. The data reached an all-time high of 3.064 % in 1976 and a record low of 1.504 % in 2000. United States US: Revenue and Grants: Revenue: Customs and Other Import Duties: % of Tax Revenue data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s United States – Table US.World Bank.WDI: Government Revenue, Expenditure and Finance. Customs and other import duties are all levies collected on goods that are entering the country or services delivered by nonresidents to residents. They include levies imposed for revenue or protection purposes and determined on a specific or ad valorem basis as long as they are restricted to imported goods or services.; ; International Monetary Fund, Government Finance Statistics Yearbook and data files.; ;
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United States US: Revenue and Grants: Revenue: Tax Revenue data was reported at 2,028.810 USD bn in 2016. This records a decrease from the previous number of 2,036.655 USD bn for 2015. United States US: Revenue and Grants: Revenue: Tax Revenue data is updated yearly, averaging 774.160 USD bn from Sep 1972 (Median) to 2016, with 45 observations. The data reached an all-time high of 2,036.655 USD bn in 2015 and a record low of 151.190 USD bn in 1972. United States US: Revenue and Grants: Revenue: Tax Revenue data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s United States – Table US.World Bank.WDI: Government Revenue, Expenditure and Finance. Tax revenue refers to compulsory transfers to the central government for public purposes. Certain compulsory transfers such as fines, penalties, and most social security contributions are excluded. Refunds and corrections of erroneously collected tax revenue are treated as negative revenue.; ; International Monetary Fund, Government Finance Statistics Yearbook and data files.; ;
Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
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The Department of Public Works and Government Services Canada, in its role as Receiver General for Canada, is responsible for the management and safeguarding of all federal government money. These funds, which are used in the disbursement of all Government of Canada expenditures, investments and transfers are held in the Consolidated Revenue Fund, at the Bank of Canada. Funds may be collected by a department or a service provider and deposited to a concentrator account at a financial institution. Concentrator account balances are transferred each day to the Bank of Canada. Alternatively, funds may be deposited directly to the Consolidated Revenue Fund. This dataset provides details, as of April 1st, 2010, of all deposits made to the Consolidated Revenue Fund. Updates will be posted quarterly. Consolidated Revenue Fund Outflows are available in a separate dataset.
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This dataset contains tables and figures for the publication "Revenue Collection Is Not Enough: Taxes as an Instrument of Development" (Related publication only available in Spanish). Taxation in Latin America is largely viewed as a means of generating income to keep the government in business. In recent years, progress has been made towards increasing total revenue, but most countries in the region still lag well behind other countries with similar levels of development. More importantly, Latin America policymakers still largely ignore the potential of taxation to contribute to other important development goals. Governments have repeatedly missed the chance to influence consumption and production patterns by using taxes to effect relative price changes. More than Revenue aims to provide an up-to-date overview of the current state of taxation in the Latin American and Caribbean (LAC) region, its main reform needs, and possible reform strategies that take into account the likely economic, institutional, and political constraints on the reform process.
This table shows the receipts and outlays of the United States Government by month for the current fiscal year, up to and including the current accounting month. The table also shows the total receipts and outlays for the current fiscal year-to-date and the comparable prior fiscal year-to-date. This table includes total and subtotal rows that should be excluded when aggregating data. Some rows represent elements of the dataset's hierarchy, but are not assigned values. The classification_id for each of these elements can be used as the parent_id for underlying data elements to calculate their implied values. Subtotal rows are available to access this same information.
Daily overview of federal revenue collections such as income tax deposits, customs duties, fees for government service, fines, and loan repayments.