Key information about US Tax revenue: % of GDP

• United States Tax revenue: % of GDP was reported at 16.5 % in Dec 2024.
• This records an increase from the previous number of 16.1 % for Dec 2023.
• US Tax revenue: % of GDP data is updated yearly, averaging 18.0 % from Dec 1968 to 2024, with 57 observations.
• The data reached an all-time high of 19.5 % in 2000 and a record low of 13.7 % in 2009.
• US Tax revenue: % of GDP data remains active status in CEIC and is reported by CEIC Data.
• The data is categorized under World Trend Plus’s Global Economic Monitor – Table: Tax Revenue: % of Nominal GDP: Annual.

CEIC calculates annual Tax Revenue as % of Nominal GDP from monthly Tax Revenue and annual Nominal GDP. Tax Revenue is calculated as the sum of Individual Income Taxes, Corporation Income Taxes, Social Insurance Taxes, Excise Tax, Estate and Gift Taxes and Customs Duties. The Bureau of the Fiscal Service provides Tax Revenue in USD. The Bureau of Economic Analysis provides Nominal GDP in USD.

This dataset provides values for TAXES ON EXPORTS PERCENT OF TAX REVENUE WB DATA.HTML reported in several countries. The data includes current values, previous releases, historical highs and record lows, release frequency, reported unit and currency.

Explore historical federal tax revenue data from 1934 to 2018, detailing receipts in millions of dollars and as a percentage of the total. This dataset covers individual income taxes, corporate income taxes, social insurance and retirement receipts, excise taxes, and other sources. Explore the evolving landscape of federal revenue over the decades and analyze trends in taxation patterns. Data sourced from the Tax Foundation, offering insights into the fiscal history of the United States.

This dataset is about countries per year in Iran. It has 64 rows. It features 4 columns: country, tax revenue, and proportion of seats held by women in national parliaments.

This Dataset contains Year and State-wise Percentage Share of Revenue from Service Tax and all Sharable Tax Revenue from Central Government to States of India according to the recommendations of 13th (2010-11 to 2014-15) 14th (2015-16 to 2019-20) and 15th (2020-21 to 2025-26) Finance Commission

Notes: 1) For 2022-23: Revenue Estimate, category: As per accepted recommendations of the Fourteenth Finance Commission, The state share has been fixed at 42% of the net proceeds of shareable Central Taxes

2) For 2023-24: Budget Estimate, category: As per accepted recommendations of the Fourteenth Finance Commission, The state share has been fixed at 42% of the net proceeds of shareable Central Taxes

3) share of all shareable taxes excluding service tax for 2015-16 to 2021-22: As per accepted recommendations of the Fourteenth Finance Commission, The state share has been fixed at 42% of the net proceeds of shareable Central Taxes

4) share of all shareable taxes excluding service tax for 2010-11 to 2014-15: As per accepted recommendations of the Fourteenth Finance Commission, The state share has been fixed at 32% of the net proceeds of shareable Central Taxes

This dataset is about countries per year in Senegal. It has 64 rows. It features 4 columns: country, tax revenue, and proportion of seats held by women in national parliaments.

This dataset is about countries in Northern Africa. It has 6 rows. It features 3 columns: tax revenue, and proportion of seats held by women in national parliaments.

This dataset provides values for TAX REVENUE PERCENT OF GDP WB DATA.HTML reported in several countries. The data includes current values, previous releases, historical highs and record lows, release frequency, reported unit and currency.

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 is about countries per year in Philippines. It has 64 rows. It features 4 columns: country, tax revenue, and proportion of seats held by women in national parliaments.

This dataset is about countries per year in Luxembourg. It has 1 row and is filtered where the date is 2021. It features 4 columns: country, tax revenue, and proportion of seats held by women in national parliaments.

Decrease the percentage of income tax returns rejected due to error from 3.7% in 2013 to 2% by 2018.

The Personal Income Tax Rate in the United States stands at 37 percent. This dataset provides - United States Personal Income Tax Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

This dataset is about countries per year in Malawi. It has 1 row and is filtered where the date is 2021. It features 4 columns: country, tax revenue, and proportion of seats held by women in national parliaments.

This dataset includes subnational government tax revenue expressed in several units of measures: USD PPP, USD PPP per capita, percentage of GDP, percentage of total public tax revenue and percentage of total subnational revenue.

The Subnational Government Structure and Finance Dashboard compiles several datasets with comparable data on institutional organisation and public finance at subnational government level. It provides data for the year 2023 (or latest year available), for all 38 OECD member countries, and the average for the European Union. It includes data for the subnational government sector (for both state and local government levels).

The data is also available in PDF format and via an Interactive dashboard.

We develop a dataset of state (1977–2022) and local (2000–2022) tax rates from personal income, corporate income, property, sales, and excise taxes. We utilize sources such as NBER TaxSim, Tax Foundation, CCH CorpSystem, state and local level tax authority websites (typically the department of revenue or equivalent body), as well as data from other research. For each state and local tax type, we collect annual data going back in time as far possible. Local jurisdictions include everything from city and county governments to overlapping taxing geographies defined by local school boundaries, water and fire districts, or even specially constructed business tax districts. We aggregate local tax rates to the county level as this represents a stable and well-defined geographic mapping that is non-overlapping and corresponds well to other available measures of governmental oversight and economic activity.Update August 2025: the state-level property tax rates reported in V1 were not effective percent tax rates as reported in the published version of our paper. V2 contains the correctly scaled rates.

Time series data for the statistic Paying taxes: Total tax and contribution rate (% of profit) and country Germany. Indicator Definition:The total tax and contribution rate measures the amount of taxes and mandatory contributions borne by the business in the second year of operation, expressed as a share of commercial pro?t. The total amount of taxes and contributions borne is the sum of all the different taxes and contributions payable after accounting for allowable deductions and exemptions. The taxes withheld (such as personal income tax) or collected by the company and remitted to the tax authorities (such as VAT, sales tax or goods and service tax) but not borne by the company are excluded.The indicator "Paying taxes: Total tax and contribution rate (% of profit)" stands at 48.80 as of 12/31/2019, the lowest value since 12/31/2013. Regarding the One-Year-Change of the series, the current value constitutes a decrease of -0.4082 percent compared to the value the year prior.The 1 year change in percent is -0.4082.The 3 year change in percent is -0.2045.The 5 year change in percent is 0.0.The 10 year change in percent is 11.16.The Serie's long term average value is 47.88. It's latest available value, on 12/31/2019, is 1.92 percent higher, compared to it's long term average value.The Serie's change in percent from it's minimum value, on 12/31/2009, to it's latest available value, on 12/31/2019, is +11.16%.The Serie's change in percent from it's maximum value, on 12/31/2008, to it's latest available value, on 12/31/2019, is -1.21%.

Time series data for the statistic Paying taxes: Total tax and contribution rate (% of profit) and country Vietnam. Indicator Definition:The total tax and contribution rate measures the amount of taxes and mandatory contributions borne by the business in the second year of operation, expressed as a share of commercial pro?t. The total amount of taxes and contributions borne is the sum of all the different taxes and contributions payable after accounting for allowable deductions and exemptions. The taxes withheld (such as personal income tax) or collected by the company and remitted to the tax authorities (such as VAT, sales tax or goods and service tax) but not borne by the company are excluded.The indicator "Paying taxes: Total tax and contribution rate (% of profit)" stands at 37.60 as of 12/31/2019, the lowest value since 12/31/2013. Regarding the One-Year-Change of the series, the current value constitutes a decrease of -0.5291 percent compared to the value the year prior.The 1 year change in percent is -0.5291.The 3 year change in percent is -4.57.The 5 year change in percent is -7.84.The 10 year change in percent is -6.00.The Serie's long term average value is 38.79. It's latest available value, on 12/31/2019, is 3.06 percent lower, compared to it's long term average value.The Serie's change in percent from it's minimum value, on 12/31/2010, to it's latest available value, on 12/31/2019, is +13.60%.The Serie's change in percent from it's maximum value, on 12/31/2013, to it's latest available value, on 12/31/2019, is -7.84%.

Time series data for the statistic Revenue (% of GDP) and country Eswatini. Indicator Definition:Revenue consists of taxes, social contributions, grants receivable, and other revenue. Revenue increases the net worth of a government, which is the difference between its assets and liabilities (GFSM 2001, paragraph 4.20). Note: Transactions that merely change the composition of the balance sheet do not change the net worth position, for example, proceeds from sales of nonfinancial and financial assets or incurrence of liabilities.The indicator "Revenue (% of GDP)" stands at 26.97 percent as of 12/31/2029. Regarding the One-Year-Change of the series, the current value constitutes a decrease of -0.2016 percentage points compared to the value the year prior.The 1 year change in percentage points is -0.2016.The 3 year change in percentage points is 0.1492.The 5 year change in percentage points is -3.53.The 10 year change in percentage points is -0.416.The Serie's long term average value is 26.30 percent. It's latest available value, on 12/31/2029, is 0.669 percentage points higher, compared to it's long term average value.The Serie's change in percentage points from it's minimum value, on 12/31/1993, to it's latest available value, on 12/31/2029, is +6.89.The Serie's change in percentage points from it's maximum value, on 12/31/2006, to it's latest available value, on 12/31/2029, is -9.06.

This dataset provides data on Qualified Census Tracts for the Low-Income Housing Tax Credit Program for 2024. LIHTC Qualified Census Tracts, as defined under the section 42(d)(5)(C) of the of the Internal Revenue Code of 1986, include any census tract (or equivalent geographic area defined by the Bureau of the Census) in which at least 50 percent of households have an income less than 60 percent of the Area Median Gross Income (AMGI), or which has a poverty rate of at least 25 percent. Maps of Qualified Census Tracts and Difficult Development Areas are available at: huduser.gov/sadda/sadda_qct.html .