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 functions 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.

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.

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.

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 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.

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 summarizes the city’s various revenue sources. The revenue dataset reflects money coming into the city; some examples include real estate tax payments, state aid and parking fine collections. The city’s financial system, where revenue collections are recorded daily, is the source for this data.

This data also contains current budget information based on the revenue budget adopted by City Council ahead of each fiscal year. This budget allows city staff to monitor and track revenue collections during the year. The data set includes the current fiscal year and two previous fiscal years.

*Disclaimer: Revenues will reflect the previous fiscal year’s activity until final entries have been made and the accounting period has been closed.

This data is updated daily on weekdays.

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.

Key Table Information.Table Title.Percentage Distribution of Revenue of Public Elementary-Secondary School Systems in the United States: Fiscal Year 2012- 2023.Table ID.GOVSTIMESERIES.GS00SS14.Survey/Program.Public Sector.Year.2024.Dataset.PUB Public Sector Annual Surveys and Census of Governments.Source.U.S. Census Bureau, Public Sector.Release Date.2025-05-01.Release Schedule.The Annual Survey of School System Finances occurs every year. Data are typically released in early May. There are approximately two years between the reference period and data release..Dataset Universe.Census of Governments - Organization (CG):The universe of this file is all federal, state, and local government units in the United States. In addition to the federal government and the 50 state governments, the Census Bureau recognizes five basic types of local governments. The government types are: County, Municipal, Township, Special District, and School District. Of these five types, three are categorized as General Purpose governments: County, municipal, and township governments are readily recognized and generally present no serious problem of classification. However, legislative provisions for school district and special district governments are diverse. These two types are categorized as Special Purpose governments. Numerous single-function and multiple-function districts, authorities, commissions, boards, and other entities, which have varying degrees of autonomy, exist in the United States. The basic pattern of these entities varies widely from state to state. Moreover, various classes of local governments within a particular state also differ in their characteristics. Refer to the Individual State Descriptions report for an overview of all government entities authorized by state.The Public Use File provides a listing of all independent government units, and dependent school districts active as of fiscal year ending June 30, 2024. The Annual Surveys of Public Employment & Payroll (EP) and State and Local Government Finances (LF):The target population consists of all 50 state governments, the District of Columbia, and a sample of local governmental units (counties, cities, townships, special districts, school districts). In years ending in '2' and '7' the entire universe is canvassed. In intervening years, a sample of the target population is surveyed. Additional details on sampling are available in the survey methodology descriptions for those years.The Annual Survey of Public Pensions (PP):The target population consists of state- and locally-administered defined benefit funds and systems of all 50 state governments, the District of Columbia, and a sample of local governmental units (counties, cities, townships, special districts, school districts). In years ending in '2' and '7' the entire universe is canvassed. In intervening years, a sample of the target population is surveyed. Additional details on sampling are available in the survey methodology descriptions for those years.The Annual Surveys of State Government Finance (SG) and State Government Tax Collections (TC):The target population consists of all 50 state governments. No local governments are included. For the purpose of Census Bureau statistics, the term "state government" refers not only to the executive, legislative, and judicial branches of a given state, but it also includes agencies, institutions, commissions, and public authorities that operate separately or somewhat autonomously from the central state government but where the state government maintains administrative or fiscal control over their activities as defined by the Census Bureau. Additional details are available in the survey methodology description.The Annual Survey of School System Finances (SS):The Annual Survey of School System Finances targets all public school systems providing elementary and/or secondary education in all 50 states and the District of Columbia..Methodology.Data Items and Other Identifying Records.Fall enrollmentTotal percentage distribution of revenuePercentage distribution of revenue - Revenue from federal sources - TotalPercentage distribution of revenue - Revenue from federal sources - Title IPercentage distribution of revenue - Revenue from state sources - TotalPercentage distribution of revenue - Revenue from state sources - General formula assistancePercentage distribution of revenue - Revenue from local sources - TotalPercentage distribution of revenue - Revenue from local sources - Taxes and parent government contributionsPercentage distribution of revenue - Revenue from local sources - Other local governmentsPercentage distribution of revenue - Revenue from local sources - Current chargesDefinitions can be found by clicking on the column header in the table or by accessing the Glossary.For detailed information, see Government Finance and Employment Classification Manual..Unit(s) of Observation.The basic reporting unit is the governmental unit, defined as an org...

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.

This summary table shows the on-budget and off-budget receipts and outlays, the on-budget and off-budget surplus/deficit, and the means of financing the budget surplus/deficit. The table also shows the budgeted amounts estimated in the President's Budget for the current fiscal year and next fiscal year for each item on the table. 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.

This table shows the net transactions for the current month, and the current and prior fiscal year-to-date, as well as account balances for the beginning of the current fiscal year and current accounting month and the close of the current accounting month. This activity is related to the means used to finance the budget deficit or to dispose of a budget surplus. An asset account would represent an asset to the United States Government, for example United States Treasury Operating Cash. A liability account would represent a liability to the United States Government, for example Borrowing from the Public. 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.

Russia Budget Revenue: Khabarovsk Territory: Year to Date: TN: Taxes & Contributions for Social Needs (TC) data was reported at 0.000 RUB in Apr 2017. This stayed constant from the previous number of 0.000 RUB for Mar 2017. Russia Budget Revenue: Khabarovsk Territory: Year to Date: TN: Taxes & Contributions for Social Needs (TC) data is updated monthly, averaging 360,000.000 RUB from Jan 2007 (Median) to Apr 2017, with 124 observations. The data reached an all-time high of 3,162,361,500.800 RUB in Dec 2011 and a record low of 0.000 RUB in Apr 2017. Russia Budget Revenue: Khabarovsk Territory: Year to Date: TN: Taxes & Contributions for Social Needs (TC) data remains active status in CEIC and is reported by Federal Treasury. The data is categorized under Russia Premium Database’s Government and Public Finance – Table RU.FD078: Regional Consolidated Budget: ytd: Far East Federal District: Khabarovsk Territory.

This summary table shows the total amount of receipts and outlays and the amount of the budget surplus/deficit by month for the current and prior fiscal years. 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.

Budget Revenue: Amur Region: Year to Date: TN: Other Non Tax Revenue data was reported at 19,112,200.070 RUB in May 2022. This records an increase from the previous number of 11,855,807.080 RUB for Mar 2022. Budget Revenue: Amur Region: Year to Date: TN: Other Non Tax Revenue data is updated monthly, averaging 23,631,233.350 RUB from Jan 2005 (Median) to May 2022, with 208 observations. The data reached an all-time high of 420,494,606.330 RUB in Jul 2012 and a record low of -1,476,627.380 RUB in Jan 2007. Budget Revenue: Amur Region: Year to Date: TN: Other Non Tax Revenue data remains active status in CEIC and is reported by Federal Treasury. The data is categorized under Russia Premium Database’s Government and Public Finance – Table RU.FD079: Regional Consolidated Budget: ytd: Far East Federal District: Amur Region.

Budget Revenue: Republic of Buryatia: Year to Date: Tax & Non Tax Revenue (TN) data was reported at 20,854,364,396.220 RUB in May 2022. This records an increase from the previous number of 9,925,653,546.840 RUB for Mar 2022. Budget Revenue: Republic of Buryatia: Year to Date: Tax & Non Tax Revenue (TN) data is updated monthly, averaging 11,024,499,235.150 RUB from Jan 2005 (Median) to May 2022, with 208 observations. The data reached an all-time high of 46,452,164,993.840 RUB in Dec 2021 and a record low of 335,054,000.000 RUB in Jan 2005. Budget Revenue: Republic of Buryatia: Year to Date: Tax & Non Tax Revenue (TN) data remains active status in CEIC and is reported by Federal Treasury. The data is categorized under Russia Premium Database’s Government and Public Finance – Table RU.FD074: Regional Consolidated Budget: ytd: Far East Federal District: Republic of Buryatia.

Budget Revenue: Sakhalin Region: Year to Date: Tax & Non Tax Revenue (TN) data was reported at 128,739,476,239.150 RUB in May 2022. This records an increase from the previous number of 48,149,860,307.410 RUB for Mar 2022. Budget Revenue: Sakhalin Region: Year to Date: Tax & Non Tax Revenue (TN) data is updated monthly, averaging 36,619,887,509.755 RUB from Jan 2005 (Median) to May 2022, with 208 observations. The data reached an all-time high of 218,203,228,376.510 RUB in Dec 2015 and a record low of 346,850,000.000 RUB in Jan 2005. Budget Revenue: Sakhalin Region: Year to Date: Tax & Non Tax Revenue (TN) data remains active status in CEIC and is reported by Federal Treasury. The data is categorized under Russia Premium Database’s Government and Public Finance – Table RU.FD082: Regional Consolidated Budget: ytd: Far East Federal District: Sakhalin Region.

Budget Revenue: Chukotka Area: Year to Date: Tax & Non Tax Revenue (TN) data was reported at 10,772,203,040.950 RUB in May 2022. This records an increase from the previous number of 6,741,675,129.640 RUB for Mar 2022. Budget Revenue: Chukotka Area: Year to Date: Tax & Non Tax Revenue (TN) data is updated monthly, averaging 5,327,296,253.580 RUB from Jan 2005 (Median) to May 2022, with 208 observations. The data reached an all-time high of 25,003,672,629.280 RUB in Dec 2020 and a record low of 134,084,405.490 RUB in Jan 2006. Budget Revenue: Chukotka Area: Year to Date: Tax & Non Tax Revenue (TN) data remains active status in CEIC and is reported by Federal Treasury. The data is categorized under Russia Premium Database’s Government and Public Finance – Table RU.FD084: Regional Consolidated Budget: ytd: Far East Federal District: Chukotka Area.

Budget Revenue: Republic of Buryatia: Year to Date: TN: Other Non Tax Revenue data was reported at 29,642,690.320 RUB in May 2022. This records an increase from the previous number of 8,593,427.780 RUB for Mar 2022. Budget Revenue: Republic of Buryatia: Year to Date: TN: Other Non Tax Revenue data is updated monthly, averaging 49,564,602.360 RUB from Jan 2005 (Median) to May 2022, with 208 observations. The data reached an all-time high of 524,811,492.660 RUB in Oct 2013 and a record low of -3,426,534.730 RUB in Jan 2011. Budget Revenue: Republic of Buryatia: Year to Date: TN: Other Non Tax Revenue data remains active status in CEIC and is reported by Federal Treasury. The data is categorized under Russia Premium Database’s Government and Public Finance – Table RU.FD074: Regional Consolidated Budget: ytd: Far East Federal District: Republic of Buryatia.