12 datasets found
  1. T

    United States Federal Corporate Tax Rate

    • tradingeconomics.com
    • fr.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Sep 26, 2013
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    TRADING ECONOMICS (2013). United States Federal Corporate Tax Rate [Dataset]. https://tradingeconomics.com/united-states/corporate-tax-rate
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    xml, csv, json, excelAvailable download formats
    Dataset updated
    Sep 26, 2013
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 31, 1909 - Dec 31, 2025
    Area covered
    United States
    Description

    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.

  2. d

    Individuals, ZIP Code Data

    • catalog.data.gov
    • gimi9.com
    Updated Aug 22, 2024
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    Statistics of Income (SOI) (2024). Individuals, ZIP Code Data [Dataset]. https://catalog.data.gov/dataset/zip-code-data
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    Dataset updated
    Aug 22, 2024
    Dataset provided by
    Statistics of Income (SOI)
    Description

    This annual study provides selected income and tax items classified by State, ZIP Code, and the size of adjusted gross income. These data include the number of returns, which approximates the number of households; the number of personal exemptions, which approximates the population; adjusted gross income; wages and salaries; dividends before exclusion; and interest received. Data are based who reported on U.S. Individual Income Tax Returns (Forms 1040) filed with the IRS. SOI collects these data as part of its Individual Income Tax Return (Form 1040) Statistics program, Data by Geographic Areas, ZIP Code Data.

  3. f

    "Willing to Pay?" Tax Compliance in Britain and Italy: An Experimental...

    • figshare.com
    • datadryad.org
    png
    Updated Jun 1, 2023
    + more versions
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    Nan Zhang; Giulia Andrighetto; Stefania Ottone; Ferruccio Ponzano; Sven Steinmo (2023). "Willing to Pay?" Tax Compliance in Britain and Italy: An Experimental Analysis [Dataset]. http://doi.org/10.1371/journal.pone.0150277
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    pngAvailable download formats
    Dataset updated
    Jun 1, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Nan Zhang; Giulia Andrighetto; Stefania Ottone; Ferruccio Ponzano; Sven Steinmo
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Italy, United Kingdom
    Description

    As shown by the recent crisis, tax evasion poses a significant problem for countries such as Greece, Spain and Italy. While these societies certainly possess weaker fiscal institutions as compared to other EU members, might broader cultural differences between northern and southern Europe also help to explain citizens’ (un)willingness to pay their taxes? To address this question, we conduct laboratory experiments in the UK and Italy, two countries which straddle this North-South divide. Our design allows us to examine citizens’ willingness to contribute to public goods via taxes while holding institutions constant. We report a surprising result: when faced with identical tax institutions, redistribution rules and audit probabilities, Italian participants are significantly more likely to comply than Britons. Overall, our findings cast doubt upon “culturalist” arguments that would attribute cross-country differences in tax compliance to the lack of morality amongst southern European taxpayers.

  4. US_listed_companies_finanical_data

    • kaggle.com
    Updated Jan 2, 2022
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    alikashif1994 (2022). US_listed_companies_finanical_data [Dataset]. https://www.kaggle.com/alikashif1994/us-listed-companies-finanical-data/code
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Jan 2, 2022
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    alikashif1994
    Description

    Data explanation

    High-quality financial data is expensive to acquire and is therefore rarely shared for free. The data set includes about 2750 US listed firm on NASDAQ and NYSE stock market. These all firms have December year end month. The firms names have been replaced with company number randomly. The data set can be analyzed from various perspectives. You will find out the performance of different industry in US in 2020, a pandemic situation. It is a very good and genuine dataset for people having Finance knowledge. It has taken from a financial database and amended for the Kaggle users.

    Content

    company_number: Just a random number primary_industry: secondary_industry: sub_secondary_industry
    dividend_payer: companies that pay dividend has given dummy variable '1', non payer is '0'..
    ebit_fy2019: Earnings before interest and tax for 2019
    ebit_fy2020: Earnings before interest and tax for 2020
    marketcap_decemb2019: Market capitalisation MTBV_Dec2019: Market to book value
    totalreturn_percent_ytd_dec2020: stock returns for 2020 dps_fy2020: dividend paid per share in 2020 dps_fy2019: dividend paid per share in 2019 day_close_price_dollars_december: share closing price
    change_in_earnings_by_marketcap total_equity_fy2019

    Inspiration

    Which industry has performed well and has the highest returns after COVID-19 which was still there in 2020 , either the companies in them are majority dividend payer or non payers. Industry wise profitability performance? What is the impact of size of the firms on their earnings and stock returns? The above questions are just a sample of questions, you can analyze the data as you want. Good luck!

  5. Current Population Survey (CPS) - Weekly and Hourly Earnings

    • catalog.data.gov
    • s.cnmilf.com
    Updated May 16, 2022
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    U.S. Department of Labor Bureau of Labor Statistics (2022). Current Population Survey (CPS) - Weekly and Hourly Earnings [Dataset]. https://catalog.data.gov/dataset/current-population-survey-cps-weekly-and-hourly-earnings-8d283
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    Dataset updated
    May 16, 2022
    Dataset provided by
    Bureau of Labor Statisticshttp://www.bls.gov/
    United States Department of Laborhttp://www.dol.gov/
    Description

    The Current Population Survey (CPS) is a monthly survey of households conducted by the Bureau of Census for the Bureau of Labor Statistics. The earnings data are collected from one-fourth of the CPS total sample of approximately 60,000 households. Data measures usual hourly and weekly earnings of wage and salary workers. All self-employed persons are excluded, regardless of whether their businesses are incorporated. Data represent earnings before taxes and other deductions and include any overtime pay, commissions, or tips usually received. Earnings data are available for all workers, by age, race, Hispanic or Latino ethnicity, sex, occupation, usual full- or part-time status, educational attainment, and other characteristics. Data are published quarterly. More information and details about the data provided can be found at http://www.bls.gov/cps/earnings.htm

  6. 2022 Economic Surveys: AB2200NESD04 | Nonemployer Statistics by Demographics...

    • data.census.gov
    Updated May 8, 2025
    + more versions
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    ECN (2025). 2022 Economic Surveys: AB2200NESD04 | Nonemployer Statistics by Demographics series (NES-D): Owner Characteristics of Nonemployer Firms by Industry, Sex, Ethnicity, Race, and Veteran Status for the U.S., States, Metro Areas, Counties, and Places: 2022 (ECNSVY Nonemployer Statistics by Demographics Characteristics of Business Owners) [Dataset]. https://data.census.gov/table/ABSNESDO2022.AB2200NESD04?q=D+BADEA+INC
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    Dataset updated
    May 8, 2025
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Authors
    ECN
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Time period covered
    2022
    Area covered
    United States
    Description

    Key Table Information.Table Title.Nonemployer Statistics by Demographics series (NES-D): Owner Characteristics of Nonemployer Firms by Industry, Sex, Ethnicity, Race, and Veteran Status for the U.S., States, Metro Areas, Counties, and Places: 2022.Table ID.ABSNESDO2022.AB2200NESD04.Survey/Program.Economic Surveys.Year.2022.Dataset.ECNSVY Nonemployer Statistics by Demographics Characteristics of Business Owners.Source.U.S. Census Bureau, 2022 Economic Surveys, Nonemployer Statistics by Demographics.Release Date.2025-05-08.Release Schedule.The Nonemployer Statistics by Demographics (NES-D) is released yearly, beginning in 2017..Table Universe.Includes U.S. firms with no paid employment or payroll, annual receipts of $1,000 or more ($1 or more in the construction industries) and filing Internal Revenue Service (IRS) tax forms for sole proprietorships (Form 1040, Schedule C), partnerships (Form 1065), or corporations (the Form 1120 series).Data are also obtained from administrative records, the 2022 Economic Census, and other economic surveys..Methodology.Data Items and Other Identifying Records.Number of owners of nonemployer firmsPercent of number of owners of nonemployer firms (%)These data are aggregated at the owner level for up to four persons owning the largest percentages of the business by sex, ethnicity, race, and veteran status.Using administrative records, owner characteristics were assigned for the following categories: Place of Birth (USBORN) Owner was born in the U.S. Owner was born outside the U.S. U.S. Citizenship (USCITIZEN) Owner is a citizen of the U.S. Owner is not a citizen of the U.S. Owner Age (OWNRAGE) Under 25 25 to 34 35 to 44 45 to 54 55 to 64 65 or over Question Description codes for the topics are in parenthesis.Definitions can be found by clicking on the column header in the table or by accessing the Economic Census Glossary..Unit(s) of Observation.The reporting units for the NES-D are nonemployer companies or firms rather than establishments. A company or firm is comprised of one or more in-scope establishments that operate under the ownership or control of a single organization..Geography Coverage.The 2022 data are shown for the total of all sectors (00) and the 2- to 4-digit NAICS code levels for:United StatesIn addition, the total of all sectors (00) NAICS and the 2-digit NAICS code levels for:States and the District of ColumbiaThe remaining geographies are available at the total of all sectors (00):Metropolitan Statistical AreasMicropolitan Statistical AreasMetropolitan DivisionsCombined Statistical AreasCountiesEconomic PlacesFor information about geographies, see Geographies..Industry Coverage.The data are shown for the total of all sectors ("00"), and at the 2- through 4-digit NAICS code levels depending on geography. Sector "00" is not an official NAICS sector but is rather a way to indicate a total for multiple sectors. Note: Other programs outside of ABS may use sector 00 to indicate when multiple NAICS sectors are being displayed within the same table and/or dataset.The following are excluded from the total of all sectors:Crop and Animal Production (NAICS 111 and 112)Rail Transportation (NAICS 482)Postal Service (NAICS 491)Monetary Authorities-Central Bank (NAICS 521)Funds, Trusts, and Other Financial Vehicles (NAICS 525)Office of Notaries (NAICS 541120)Religious, Grantmaking, Civic, Professional, and Similar Organizations (NAICS 813)Private Households (NAICS 814)Public Administration (NAICS 92)For information about NAICS, see North American Industry Classification System..Sampling.NES-D nonemployer data are not conducted through sampling. Nonemployer Statistics (NES) data originate from statistical information obtained through business income tax records that the Internal Revenue Service (IRS) provides to the Census Bureau. The NES-D adds demographic characteristics to the NES data and produces the total firm counts and the total receipts by those demographic characteristics. The NES-D utilizes various administrative records (AR) and the Census Bureau data sources that include the Business Register (BR), Internal Revenue Service (IRS) tax Form 1040 data, tax Schedule K-1 data, Decennial Census and American Community Survey (ACS) data, Social Security Administration's database (Numident), and AR from the Department of Veterans Affairs (VA).For more information, see Nonemployer Statistics by Demographics Methodology..Confidentiality.The Census Bureau has reviewed this data product to ensure appropriate access, use, and disclosure avoidance protection of the confidential source data (Project No. P-7504866, Disclosure Review Board (DRB) approval number: CBDRB-FY25-0195).For the nonemployer data, the NES-D uses noise infusion as the primary method of disclosure avoidance for receipts, and In certain circumstances, some individual cells may be suppressed for additional disclosure avoidance. More information on nonemployer firm disclosure avoidance is available in the ...

  7. T

    United States Corporate Profits

    • tradingeconomics.com
    • jp.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Jun 26, 2025
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    United States Corporate Profits [Dataset]. https://tradingeconomics.com/united-states/corporate-profits
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    excel, xml, json, csvAvailable download formats
    Dataset updated
    Jun 26, 2025
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Mar 31, 1947 - Mar 31, 2025
    Area covered
    United States
    Description

    Corporate Profits in the United States decreased to 3203.60 USD Billion in the first quarter of 2025 from 3312 USD Billion in the fourth quarter of 2024. This dataset provides the latest reported value for - United States Corporate Profits - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

  8. d

    Voter Turnout

    • data.ore.dc.gov
    Updated Sep 10, 2024
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    City of Washington, DC (2024). Voter Turnout [Dataset]. https://data.ore.dc.gov/datasets/voter-turnout
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    Dataset updated
    Sep 10, 2024
    Dataset authored and provided by
    City of Washington, DC
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Description

    Some racial and ethnic categories are suppressed to avoid misleading estimates when the relative standard error exceeds 30%. Margins of error are estimated at the 90% confidence level.

    Data Source: Current Population Survey (CPS) Voting Supplement, 2020

    Why This Matters

    Voting is one of the primary ways residents can have their voices heard by the government. By voting for elected officials and on ballot initiatives, residents help decide the future of their community.

    For much of our nation’s history, non-white residents were explicitly prohibited from voting or discriminated against in the voting process. It was not until the Voting Rights Act of 1965 that the Federal Government enacted voting rights protections for Black voters and voters of color.

    Nationally, BIPOC citizens and especially Hispanic and Asian citizens have consistently lower voter turnout rates and voter registration rates. While local DC efforts have been taken to remove these barriers, restrictive voter ID requirements and the disenfranchisement of incarcerated and returning residents act as institutionally racist barriers to voting in many jurisdictions.

    The District's Response

    The DC Board of Elections has lowered the barriers to participate in local elections through online voter registration, same day registration, voting by mail, and non-ID proof of residence.

    Unlike in many states, incarcerated and returning residents in D.C. never lose the right to vote. Since 2024, DC has also extended the right to vote in local elections to residents of the District who are not citizens of the U.S.

    Although DC residents pay federal taxes and can vote in the presidential election, the District does not have full representation in Congress. Efforts to advocate for DC statehood aim to remedy this.

  9. Replication dataset for PIIE PB 24-1, Why Trump’s tariff proposals would...

    • piie.com
    Updated May 20, 2024
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    Kimberly Clausing; Mary E. Lovely (2024). Replication dataset for PIIE PB 24-1, Why Trump’s tariff proposals would harm working Americans by Kimberly Clausing and Mary E. Lovely (2024). [Dataset]. https://www.piie.com/publications/policy-briefs/2024/why-trumps-tariff-proposals-would-harm-working-americans
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    Dataset updated
    May 20, 2024
    Dataset provided by
    Peterson Institute for International Economicshttp://www.piie.com/
    Authors
    Kimberly Clausing; Mary E. Lovely
    Area covered
    United States
    Description

    This data package includes the underlying data files to replicate the data, tables, and charts presented in Why Trump’s tariff proposals would harm working Americans, PIIE Policy Brief 24-1.

    If you use the data, please cite as: Clausing, Kimberly, and Mary E. Lovely. 2024. Why Trump’s tariff proposals would harm working Americans. PIIE Policy Brief 24-1. Washington, DC: Peterson Institute for International Economics.

  10. A

    Gallup Polls, 1970

    • abacus.library.ubc.ca
    txt
    Updated Nov 18, 2009
    + more versions
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    Abacus Data Network (2009). Gallup Polls, 1970 [Dataset]. https://abacus.library.ubc.ca/dataset.xhtml;jsessionid=edc1c738526b40d9b5e29bdc9ae1?persistentId=hdl%3A11272.1%2FAB2%2FE1YJJE&version=&q=&fileTypeGroupFacet=%22Text%22&fileAccess=
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    txt(54270)Available download formats
    Dataset updated
    Nov 18, 2009
    Dataset provided by
    Abacus Data Network
    Area covered
    Canada, Canada (CA)
    Description

    This dataset covers ballots 339-44, spanning January, March, May, July, September and November 1970. The dataset contains the data resulting from these polls in ASCII. The ballots are as follows: 339 - January This Gallup poll aims to collect the opinions of Canadians on leading topics of the day. The questions are mostly politically based, and some of the subjects are taxation, prices, politics, pollution, and opinions towards marijuana. The respondents were also asked questions so that they could be grouped according to geographical and social variables. Topics of interest include: Anglo-French relations; the Benson tax reform; dangers of pollution; the influence American television programmes have; the legalization of Marijuana; morality of sex before marriage; Marijuana use; political preferences; proposed law for trimester abortion; possibility of a price freeze; the quality of news coverage in Canada; the rate of Canadian dependency; ratings of government services; reliable media coverage; whether or not big cities should get a bigger tax share; the possibility of a wage freeze; and who gains the most from rising prices. Basic demographic variables are also included. 340 - March This Gallup poll seeks the opinions of Canadians on issues of importance to the government, and the country in general. The majority of the questions are politically based, asking opinions towards Canada's political leaders, parties, and policies. The respondents were also asked questions so that they could be grouped according to geographical and social variables. Topics of interest include: adequacy of teacher's pay; allowing Catholic priests to marry; the approval of the government's record to date; attending church; the ideal number of kids in a family; whether or not married women should be working outside of the home; political preferences; the possibility of provinces separating from Canada to join U.S.; the ratings of Stanfield as Opposition leader; the ratings of Trudeau as Prime Minister; the successfulness of wage-cost restraint; and the U.S. withdrawing from Vietnam. Basic demographic variables are also included. 341 - May This Gallup poll focuses mainly on gathering the opinions of Canadians towards issues of importance to the country and government. Most of the questions have something to do with politics, asking about political leaders, parties and politics. This survey contains a large section about taxation, and proposed tax reforms. Respondents were also asked questions so that they could be grouped according to geographic and social variables. Topics of interest include: the amount of money for the Old Age Pensions; the approval of capital gains tax; the approval of labour unions; big business's influence on Canada; birth control use; cabinet member's influence on Canada; Canadian and American television; denture wearers; the effects of tax reform; those who filed a tax return; whether or not the government is giving farmer's a square deal; if Canada has higher taxes then the United States; the influence labour unions have on Canada; making impaired drivers take breathalyser tests; the minimum requirements for percentage of Canadian material on television; the influence M.P.'s have on Canada; political preference; the preferred area of residence; the Prime Minister's influence on Canada; ratings of the Finance Minister's performance; ratings of the Minister of Consumer and Corporate Affairs; ratings of the Minister of Labour's performance; removing the Queen from stamps; the safety of birth control pills; satisfaction with amount of taxes; the seriousness of Quebec quitting the confederation; and if tight money policies will help inflation. Basic demographic variables are also included. 342 - July This Gallup poll seeks the opinions of Canadians, on predominantly political issues. The questions ask opinions about political leaders and political issues within the country. There are also questions on other topics of interest and importance to the country and government, such as wages and inflation, and attitudes towards marijuana. The respondents were also asked questions so that they could be grouped according to geographical and social variables. Topics of interest include: a 6% pay limit increase; Canada becoming a Republic instead of being under the Queen's reign; divorce rates; fighting inflation; having fines for Marijuana possession instead of jail time; laws regulating labour unions; the lies in commercials; the Maritimes becoming one province; political preferences; the threat of Quebec separation if Bourassa is elected as Premier of Quebec; raising wages to keep up with the cost of living; the rating of Eric Kierans as Postmaster General; the rating of J.J. Greene as Minister of Energy, Mines and Resources; rating of John Turner as Finance Minister; the rise of unemployment; and the West becoming one province. Basic demographic variables are also included. 343 - September This Gallup poll seeks the opinions of Canadians political and social issues. The questions ask opinions about political leaders and satisfaction levels. There are also questions on other topics such as economic conditions, the Feminist movement and employment. The respondents were also asked questions so that they could be grouped according to geographical variables. The topics of interest include: the amount of attention paid to Quebec; the Canadian economy; control of U.S. firms; the Feminist movement; helping people in poor areas; improving highway safety; improving housings; improving public education; issues that need the government's attention; how long one can live without working; Nixon's performance; preparing children for the future; political preferences; reducing the amount of crime; reducing pollution; reducing racial discrimination; reducing unemployment; satisfaction levels; issues involving U.S. capital; if Canada is getting closer to the U.S.; and if Winnipeg should be Canada's capital. Basic demographic variables are also included. 344 - November This Gallup poll aims to collect the opinions of Canadians on the leading topics of the day. The questions are mostly politically based, and some of the subjects are the sale of gas to the U.S, updating abortion laws and opinions on various public figures. The respondents were also asked questions so that they could be grouped according to geographical and social variables. Topics of interest include: Canada being on the threshold of greatness; Canadian ownership of firms; whether or not the country is heading towards a depression; getting the death penalty for kidnapping a public figure; the fashionableness of mini-skirts; feelings towards French-Canadians; the sale of gas to the U.S,; growing Canadian nationalism; the Nation that is a great country; political preference; prohibiting stores to be open on Sunday; the ratings of John Robart's (Premier of Ontario) conduct during crisis; the ratings of NDP leader Douglas' conduct in crisis; the ratings of opposition leader Stanfield's conduct in crisis; the ratings of Real Caouette's (leader of the creditiste party) conduct in crisis; the ratings of Robert Bourassa's (Premier of Quebec) conduct in crisis; the ratings of Trudeau's conduct in crisis; revising abortion laws; strength of the United Nations; the U.N. peace keeping army; and using the War measures act to handle FLQ. Basic demographic variables are also included.The codebook for this dataset is available through the UBC Library catalogue, with call number HN110.Z9 P84.

  11. T

    CORPORATE TAX RATE by Country in EUROPE

    • tradingeconomics.com
    csv, excel, json, xml
    Updated May 8, 2017
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    TRADING ECONOMICS (2017). CORPORATE TAX RATE by Country in EUROPE [Dataset]. https://tradingeconomics.com/country-list/corporate-tax-rate?continent=europe
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    xml, json, csv, excelAvailable download formats
    Dataset updated
    May 8, 2017
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    2025
    Area covered
    Europe
    Description

    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.

  12. T

    PERSONAL INCOME TAX RATE by Country in AMERICA

    • tradingeconomics.com
    csv, excel, json, xml
    Updated May 29, 2017
    + more versions
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    TRADING ECONOMICS (2017). PERSONAL INCOME TAX RATE by Country in AMERICA [Dataset]. https://tradingeconomics.com/country-list/personal-income-tax-rate?continent=america
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    excel, csv, json, xmlAvailable download formats
    Dataset updated
    May 29, 2017
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    2025
    Area covered
    United States
    Description

    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.

  13. Not seeing a result you expected?
    Learn how you can add new datasets to our index.

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TRADING ECONOMICS (2013). United States Federal Corporate Tax Rate [Dataset]. https://tradingeconomics.com/united-states/corporate-tax-rate

United States Federal Corporate Tax Rate

United States Federal Corporate Tax Rate - Historical Dataset (1909-12-31/2025-12-31)

Explore at:
15 scholarly articles cite this dataset (View in Google Scholar)
xml, csv, json, excelAvailable download formats
Dataset updated
Sep 26, 2013
Dataset authored and provided by
TRADING ECONOMICS
License

Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically

Time period covered
Dec 31, 1909 - Dec 31, 2025
Area covered
United States
Description

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.

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