The Corporate Tax Rate in the United States stands at 21 percent. This dataset provides - United States Corporate Tax Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

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 Q2 2025 about state & local, revenue, tax, government, and USA.

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.

The Equivalent Fiscal Pressure (EFP) for Latin America and the Caribbean for the period 1990-2018, calculated using the IDB-CIAT methodology, measures the total resources collected by the countries of the region. This includes mandatory contributions to private (actuarial) social security systems and non-tax revenues from natural resource exploitation activities. In 2018, the EFP reached 25.2% of GDP, an increase of 0.4% compared to 2017. The sustained increase is based on three fiscal pillars: the Value-Added Tax (VAT), the Income Tax System (ISR), and mandatory Social Security Contributions (SSC), both public and private. From 1990 to 2018, these pillars collectively grew as follows: VAT by 3.4 percentage points of GDP (87.0%), ISR by 2.7 points (77.5%), mandatory SSC by 1.6 points (59.5%), and non-tax revenue from natural resources by 0.7 points (317.5%). Over the most recent five-year period (2013-2018), EFP growth was limited to 1 percentage point of GDP, equivalent to a 4.1% increase. VAT and ISR grew by only 4.8% (to 7.3% of GDP in 2018) and 11.8% (to 6.3% of GDP), respectively, while revenues from natural resources declined by 51.9% (to 1.0% of GDP).

This dataset explores 2007 State Revenues per Capita and Percentage of Personal Income relinquished in taxes by state for the year 2007. Source: U.S. Bureau of the Census and Bureau of Economic Analysis.

Many people report disliking taxes despite the fact that tax funds are used to provide essential services for the taxpayer and fellow citizens. In light of past research demonstrating that people are more likely to engage in prosocial action when they recognize how their assistance positively impacts the recipient, we examine whether recognition of how one’s tax contributions help other citizens–perceived prosocial taxation–predicts more supportive views of taxation and greater engagement. We conducted three correlational studies using North American samples (N = 902, including a nationally representative sample of over 500 US residents) in which we find that perceived prosocial taxation is associated with greater enjoyment paying taxes, willingness to continue paying taxes, and larger financial contributions in a tax-like payment. Findings hold when controlling for several demographic variables, participants’ general prosocial orientation, and the perception that tax dollars are being put to good use. In addition, we examined data from six waves of the World Values Survey (N > 474,000 across 107 countries). We find that people expressing trust in their government and civil service–thereby indicating some confidence that their taxes will be used in prosocial ways–are significantly more likely to state that it is never justifiable to cheat on taxes. Together, these studies offer a new and optimistic perspective on taxation; people may hold more positive views and be more willing to contribute if they believe their contribution benefits others.

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 dataset explores the U.S.Census data on State Government Tax Collections (STC) for the year 2007, by state and type of tax. The State Government Tax Collections (STC) report lists the various taxes collected by each state. The tables and data files show the tax revenues collected on a state by state basis.

This database is an ongoing effort to update official fiscal data by the Bank and the Inter-American Center of Tax Administrations, and with the collaboration of OECD and ECLAC. The Equivalent Fiscal Pressure indicator makes use of a methodology that better reflects the particularities of the mobilization of fiscal resources in the region, and consists of three elements: 1) Traditional tax collection, which includes all taxes and fees levied at all levels of government; 2) Compulsory social security contributions, whether public or private, mostly to pension and health systems; and 3) Non-tax revenues derived from the exploitation of natural resources, whether renewable or not; i.e., fees, royalties, dividends paid and net profits from public enterprises. The information is presented broken down by type of tax at every level of government. The series are adjusted with updated GDP values for each country and information that becomes available for municipalities and social security, which tend to have a longer lag period compared to other tax statistics.

This table contains data on the living wage and the percent of families with incomes below the living wage for California, its counties, regions and cities/towns. Living wage is the wage needed to cover basic family expenses (basic needs budget) plus all relevant taxes; it does not include publicly provided income or housing assistance. The percent of families below the living wage was calculated using data from the Living Wage Calculator and the U.S. Census Bureau, American Community Survey. The table is part of a series of indicators in the Healthy Communities Data and Indicators Project of the Office of Health Equity. The living wage is the wage or annual income that covers the cost of the bare necessities of life for a worker and his/her family. These necessities include housing, transportation, food, childcare, health care, and payment of taxes. Low income populations and non-white race/ethnic have disproportionately lower wages, poorer housing, and higher levels of food insecurity. More information about the data table and a data dictionary can be found in the About/Attachments section.

This study is part of a time-series collection of national surveys fielded continuously since 1948. The election studies are designed to present data on Americans' social backgrounds, enduring political predispositions, social and political values, perceptions and evaluations of groups and candidates, opinions on questions of public policy, and participation in political life. In addition to the core content, this dataset also includes topics like women's liberation, racial attitudes, economic attitudes, payment of federal income tax, feelings about the quality of life, and various cultural attitudes. As a result of findings from previous ANES studies, the general themes of trust in government, alienation, and efficacy were emphasized in an attempt to determine the causes of the observed decrease in public support of the political system. Besides being a stand-alone time series study, this dataset also represents the first wave in a three-wave data collection that continued with the ANES 1974 Time Series Study (ICPSR 7355) and the 1976 ANES Time Series Study (ICPSR 7381). The full panel file of data from these years, the ANES 1972-1976 Merged File (ICPSR 7607), also includes some cases not represented in the time series studies. To maximize the number of questions asked in 1972, two forms of the interview were developed, and each was administered to half of the respondents in both the pre- and the post-election waves. Each half-sample of respondents assigned to a specific questionnaire version also constitutes a cross-national sample, representative of the study population, so that the two sub-samples may be used together, or separately for analysis purposes. The two forms contain approximately 80 percent of the same items, while 20 percent are unique questions. In addition, in the post-election wave, 57 Form I respondents were re-designated Form III, and 37 Form II respondents were re-designated Form IV, because they were interviewed using a mail questionnaire that contained most, but not all, of the questions included in the face-to-face versions of the post-election questionnaire. Demographic variables include sex, age, race and marital status, number of children in household, level of education, occupation and employment status, religious preference.

Key Table Information.Table Title.Mortgage Status by Aggregate Real Estate Taxes Paid (Dollars).Table ID.ACSDT1Y2024.B25090.Survey/Program.American Community Survey.Year.2024.Dataset.ACS 1-Year Estimates Detailed Tables.Source.U.S. Census Bureau, 2024 American Community Survey, 1-Year Estimates.Dataset Universe.The dataset universe of the American Community Survey (ACS) is the U.S. resident population and housing. For more information about ACS residence rules, see the ACS Design and Methodology Report. Note that each table describes the specific universe of interest for that set of estimates..Methodology.Unit(s) of Observation.American Community Survey (ACS) data are collected from individuals living in housing units and group quarters, and about housing units whether occupied or vacant. For more information about ACS sampling and data collection, see the ACS Design and Methodology Report..Geography Coverage.ACS data generally reflect the geographic boundaries of legal and statistical areas as of January 1 of the estimate year. For more information, see Geography Boundaries by Year.Estimates of urban and rural populations, housing units, and characteristics reflect boundaries of urban areas defined based on 2020 Census data. As a result, data for urban and rural areas from the ACS do not necessarily reflect the results of ongoing urbanization..Sampling.The ACS consists of two separate samples: housing unit addresses and group quarters facilities. Independent housing unit address samples are selected for each county or county-equivalent in the U.S. and Puerto Rico, with sampling rates depending on a measure of size for the area. For more information on sampling in the ACS, see the Accuracy of the Data document..Confidentiality.The Census Bureau has modified or suppressed some estimates in ACS data products to protect respondents' confidentiality. Title 13 United States Code, Section 9, prohibits the Census Bureau from publishing results in which an individual's data can be identified. For more information on confidentiality protection in the ACS, see the Accuracy of the Data document..Technical Documentation/Methodology.Information about the American Community Survey (ACS) can be found on the ACS website. Supporting documentation including code lists, subject definitions, data accuracy, and statistical testing, and a full list of ACS tables and table shells (without estimates) can be found on the Technical Documentation section of the ACS website.Sample size and data quality measures (including coverage rates, allocation rates, and response rates) can be found on the American Community Survey website in the Methodology section.Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability is represented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpreted roughly as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin of error (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject to nonsampling error (for a discussion of nonsampling variability, see ACS Technical Documentation). The effect of nonsampling error is not represented in these tables.Users must consider potential differences in geographic boundaries, questionnaire content or coding, or other methodological issues when comparing ACS data from different years. Statistically significant differences shown in ACS Comparison Profiles, or in data users' own analysis, may be the result of these differences and thus might not necessarily reflect changes to the social, economic, housing, or demographic characteristics being compared. For more information, see Comparing ACS Data..Weights.ACS estimates are obtained from a raking ratio estimation procedure that results in the assignment of two sets of weights: a weight to each sample person record and a weight to each sample housing unit record. Estimates of person characteristics are based on the person weight. Estimates of family, household, and housing unit characteristics are based on the housing unit weight. For any given geographic area, a characteristic total is estimated by summing the weights assigned to the persons, households, families or housing units possessing the characteristic in the geographic area. For more information on weighting and estimation in the ACS, see the Accuracy of the Data document.Although the American Community Survey (ACS) produces population, demographic and housing unit estimates, the decennial census is the official source of population totals for April 1st of each decennial year. In between censuses, the Census Bureau's Population Estimates Program produces and disseminates the official estimates of the population for the nation, states, counties, ci...

This dataset provides access to Qualified Census Tracts (QCTs) in Connecticut to assist in administration of American Rescue Plan (ARP) funds. The Secretary of HUD must designate QCTs, which are areas where either 50 percent or more of the households have an income less than 60 percent of the AMGI for such year or have a poverty rate of at least 25 percent. HUD designates QCTs based on new income and poverty data released in the American Community Survey (ACS). Specifically, HUD relies on the most recent three sets of ACS data to ensure that anomalous estimates, due to sampling, do not affect the QCT status of tracts. QCTs are identified for the purpose of Low-Income Housing Credits under IRC Section 42, with the purpose of increasing the availability of low-income rental housing by providing an income tax credit to certain owners of newly constructed or substantially rehabilitated low-income rental housing projects. Also included are the number of households from the 2010 census (the “p0150001” variable), the average poverty rate using the 2014-2018 ACS data (the “pov_rate_18” variable), and the ratio of Tract Average Household Size Adjusted Income Limit to Tract Median Household Income using the 2014-2018 ACS data (the “inc_factor_18” variable). For the last variable mentioned in the previous paragraph, the income limit is the limit for being considered a very low income household (size-adjusted and based on Area Mean Gross Income). This value is divided by the median household income for the given tract, to get a sense of how the limit and median incomes compare. For example, if ratio>1, it implies that the tract is very low income because the limit income is greater than the median income. This ratio is a compact way to include the separate variables for the household income limit and median household income for each tract.

Depreciation-and-Amortization-Expense Time Series for American Healthcare REIT, Inc.. American Healthcare REIT, Inc., a Maryland corporation, is a self-managed real estate investment trust, or REIT, that acquires, owns and operates a diversified portfolio of clinical healthcare real estate properties, focusing primarily on senior housing, skilled nursing facilities, or SNFs, outpatient medical, or OM, buildings and other healthcare-related facilities. They have built a fully-integrated management platform that operates clinical healthcare properties throughout the United States, and in the United Kingdom and the Isle of Man. They own and operate our integrated senior health campuses and senior housing operating properties, or SHOP, utilizing the structure permitted by the REIT Investment Diversification and Empowerment Act of 2007, which is commonly referred to as a RIDEA structure. We have also originated and acquired secured loans and may acquire other real estate-related investments in the future on an infrequent and opportunistic basis. They generally seek investments that produce current income; however, they have selectively developed, and may continue to selectively develop, healthcare real estate properties. They have elected to be taxed as a REIT for U.S. federal income tax purposes. They believe that we have been organized and operated, and they intend to continue to operate, in conformity with the requirements for qualification and taxation as a REIT under the Internal Revenue Code of 1986, or the Code.

Tax-Provision Time Series for American Superconductor Corporation. American Superconductor Corporation, together with its subsidiaries, provides megawatt-scale power resiliency solutions worldwide. It operates through Grid and Wind segments. The Grid segment offers products and services that enable electric utilities, industrial facilities, and renewable energy project developers to connect, transmit, and distribute power under the Gridtec Solutions brand. The company provides transmission planning services, which identify power grid congestion, poor power quality, and other risks; grid interconnection solutions for wind farms and solar power plants, power quality systems, and transmission and distribution cable systems; D-VAR systems used for controlling power flow and voltage in the AC transmission system; actiVAR system, a fast-switching medium-voltage reactive compensation solution; armorVAR system installed for reactive compensation, power factor correction, loss reduction, utility bill savings, and mitigation of common power quality concerns related to power converter-based generation and load devices; and D-VAR volt var optimization (VVO) that serves the distribution power grid market. This segment also offers ship protection systems, which reduce a naval ship's magnetic signature; and Onboard power delivery systems, power generation systems, and propulsion systems; and transformers and rectifiers systems. The Wind segment designs wind turbine systems and licenses these designs to third parties under the Windtec Solutions brand. The company also supplies power electronics and software-based control systems, engineered designs, and support services; and provides customer support services to wind turbine manufacturers. This segment's design portfolio comprises a range of drivetrains and power ratings of 2 megawatts and higher. American Superconductor Corporation was incorporated in 1987 and is headquartered in Ayer, Massachusetts.

This table contains data on the living wage and the percent of families with incomes below the living wage for California, its counties, regions and cities/towns. Living wage is the wage needed to cover basic family expenses (basic needs budget) plus all relevant taxes; it does not include publicly provided income or housing assistance. The percent of families below the living wage was calculated using data from the Living Wage Calculator and the U.S. Census Bureau, American Community Survey. The table is part of a series of indicators in the Healthy Communities Data and Indicators Project of the Office of Health Equity. The living wage is the wage or annual income that covers the cost of the bare necessities of life for a worker and his/her family. These necessities include housing, transportation, food, childcare, health care, and payment of taxes. Low income populations and non-white race/ethnic have disproportionately lower wages, poorer housing, and higher levels of food insecurity. More information about the data table and a data dictionary can be found in the About/Attachments section.

This dataset is about book subjects. It has 4 rows and is filtered where the books is Reviving America : how repealing Obamacare, replacing the tax code and reforming the Fed will restore hope and prosperity. It features 10 columns including number of authors, number of books, earliest publication date, and latest publication date.