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.

This dataset provides values for PERSONAL INCOME TAX RATE reported in several countries. The data includes current values, previous releases, historical highs and record lows, release frequency, reported unit and currency.

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.

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.

Source: Publication 15-A Cat. No. 21453T Employer's Supplemental Tax Guide (Supplement to Pub. 15, Employer's Tax Guide) For use in 2018

Full Name: Wage Bracket Percentage Method Tables for Computing Income Tax Withholding From Gross Wages (For Wages Paid in 2018, America)

This data set represents the American 2018 tables for withholding gross wages (not from wages exceeding allowance amount). Wages withheld from employee checks by the employer are computed by looking employee's W-4 form, finding the number of allowances, the pay-period of the business(Weekly, Semi-Monthly, etc..) and filing status (Married/Single), and then finding the wage range the employees change fall into. Once this is done, the employer will subtract a pre determined base amount (Base Amount Subtracted from Gross Wages), multiply that by a per-determined percentage (Percentage to Multiply), and the result will be the amount withheld from the employee's check for federal taxes. This amount does not include state, social security, and other taxes.
For example, an employee that is paid on a Bi-Weekly basis, that has filed for 2 allowances and Single, who has earned $2000 in the pay-period will have the following amount withheld from their check for federal taxes:

$2000 - $1171.38(base amount) = $828.62

$828.62 * .22 (per-determined percentage ) = $182.30 (amount withheld from their check for federal taxes)

This data set was developed from a burning hatred for not being able to find this information in an excel or csv format. So I have made one that can hopefully save someone else a little time and energy. For more information on tax laws and practices in America, please refer to the IRS.

Nonemployer Statistics is an annual series that provides statistics on U.S. businesses with no paid employees or payroll, are subject to federal income taxes, and have receipts of $1,000 or more ($1 or more for the Construction sector). This program is authorized by the United States Code, Titles 13 and 26. Also, the collection provides data for approximately 450 North American Industry Classification System (NAICS) industries at the national, state, county, metropolitan statistical area, and combined statistical area geography levels. The majority of NAICS industries are included with some exceptions as follows: crop and animal production; investment funds, trusts, and other financial vehicles; management of companies and enterprises; and public administration. Data are also presented by Legal Form of Organization (LFO) (U.S. and state only) as filed with the Internal Revenue Service (IRS). Most nonemployers are self-employed individuals operating unincorporated businesses (known as sole proprietorships), which may or may not be the owner's principal source of income. Nonemployers Statistics features nonemployers in several arts-related industries and occupations, including the following: Arts, entertainment, and recreation (NAICS Code 71) Performing arts companies Spectator sports Promoters of performing arts, sports, and similar events Independent artists, writers, and performers Museums, historical sites, and similar institutions Amusement parks and arcades Professional, scientific, and technical services (NAICS Code 54) Architectural services Landscape architectural services Photographic services Retail trade (NAICS Code 44-45) Sporting goods, hobby, and musical instrument stores Sewing, needlework, and piece goods stores Book stores Art dealers Nonemployer Statistics data originate from statistical information obtained through business income tax records that the Internal Revenue Service (IRS) provides to the Census Bureau. The data are processed through various automated and analytical review to eliminate employers from the tabulation, correct and complete data items, remove anomalies, and validate geography coding and industry classification. Prior to publication, the noise infusion method is applied to protect individual businesses from disclosure. Noise infusion was first applied to Nonemployer Statistics in 2005. Prior to 2005, data were suppressed using the complementary cell suppression method. For more information on the coverage and methods used in Nonemployer Statistics, refer to NES Methodology. The majority of all business establishments in the United States are nonemployers, yet these firms average less than 4 percent of all sales and receipts nationally. Due to their small economic impact, these firms are excluded from most other Census Bureau business statistics (the primary exception being the Survey of Business Owners). The Nonemployers Statistics series is the primary resource available to study the scope and activities of nonemployers at a detailed geographic level. For complementary statistics on the firms that do have paid employees, refer to the County Business Patterns. Additional sources of data on small businesses include the Economic Census, and the Statistics of U.S. Businesses. The annual Nonemployer Statistics data are available approximately 18 months after each reference year. Data for years since 2002 are published via comma-delimited format (csv) for spreadsheet or database use, and in the American FactFinder (AFF). For help accessing the data, please refer to the Data User Guide.

Selected annual aggregate balance sheet and income statement items representing incorporated enterprises operating in Canada, by the North American Industry Classification System (NAICS), presented in millions of dollars or percentages unless otherwise specified.

US Industry Data by State, by Industry

Number of Establishments, Sales, Payroll, and Employees

By Gary Hoover [source]

About this dataset

This data set provides a detailed look into the US economy. It includes information on establishments and nonemployer businesses, as well as sales revenue, payrolls, and the number of employees. Gleaned from the Economic Census done every five years, this data is a valuable resource to anyone curious about where the nation was economically at the time. With columns including geographic area name, North American Industry Classification System (NAICS) codes for industries, descriptions of those codes meaning of operation or tax status, and annual payroll, this information-rich dataset contains all you need to track economic trends over time. Whether you’re a researcher studying industry patterns or an entrepreneur looking for market insight — this dataset has what you’re looking for!

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How to use the dataset

This dataset provides detailed US industry data by state, including the number of establishments, value of sales, payroll, and number of employees. All the data is based on the North American Industry Classification System (NAICS) code for each specific industry. This will allow you to easily analyze and compare industries across different states or regions.

Research Ideas

• Analyzing the economic impact of a new business or industry trends in different states: Comparing the change in the number of establishments, payroll, and employees over time can give insight into how a state is affected by a new industry trend or introduction of a new service or product.
• Estimating customer sales potential for businesses: This dataset can be used to estimate the potential customer base for businesses in different geographic areas. By analyzing total business done by non-employers in an area along with its estimated population can help estimate how much overall sales potential exists for a given region.
• Tracking competitor performance: By looking at shipments, receipts, and value of business done across industries in different regions or even cities, companies can track their competitors’ performance and compare it to their own to better assess their strategies going forward

Acknowledgements

If you use this dataset in your research, please credit the original authors. Data Source

License

License: Dataset copyright by authors - You are free to: - Share - copy and redistribute the material in any medium or format for any purpose, even commercially. - Adapt - remix, transform, and build upon the material for any purpose, even commercially. - You must: - Give appropriate credit - Provide a link to the license, and indicate if changes were made. - ShareAlike - You must distribute your contributions under the same license as the original. - Keep intact - all notices that refer to this license, including copyright notices.

Columns

File: 2012 Industry Data by Industry and State.csv | Column name | Description | |:----------------------------------------------------------------------------------------|:----------------------------------------------------------------------------------------------------------------------------------------------------------| | Geographic area name | The name of the geographic area the data is for. (String) | | NAICS code | The North American Industry Classification System (NAICS) code for the industry. (String) | | Meaning of NAICS code | The description of the NAICS code. (String) | | Meaning of Type of operation or tax status code | The description of the type of operation or tax status code. (String) ...

Short-Term-Debt 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.

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 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.

Other-Current-Assets 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.

This Gallup poll seeks the opinions of Canadians on political and social issues of interest to the country and government.

This layer was developed for public use of the most current median household income, median home value and median owner-occupied residential real estate taxes compiled by the US Census Bureau from the 2017 to 2021 American Community Survey at the Census Tract (neighborhood) level.

All data are 2020 Census Tract (neighborhood) level five-year estimates from the U.S. Census Bureau American Community Survey from 2017 to 2021. Median household income earned in the past 12 months. Includes wage or salary income; net self-employment income; interest, dividends, or net rental or royalty income or income from estates and trusts; Social Security or Railroad Retirement income; Supplemental Security Income (SSI); public assistance or welfare payments; retirement, survivor, or disability pensions; and all other income. Median home value (an estimate of how much the property would sell for if it were for sale) for properties owned, being bought, vacant for sale, or sold but not occupied at the time of the survey. Data are based on values reported by property owners. Median real estate taxes (due to all taxing jurisdictions) for owner-occupied properties are based on taxes reported by homeowners to the Census Bureau in the American Community Survey from 2017 to 2021.

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.

This dataset provides values for CORPORATE TAX RATE reported in several countries. The data includes current values, previous releases, historical highs and record lows, release frequency, reported unit and currency.

This dataset provides values for SALES TAX RATE reported in several countries. The data includes current values, previous releases, historical highs and record lows, release frequency, reported unit and currency.