This statistic shows the percentage of the U.S. population not represented on a taxable return in 1962, 2000 and 2009. 49.5 percent of the population did not pay income taxes in the United States in 2009.

In total, about 60.4 percent of U.S. households paid income tax in 2025. The remaining 39.6 percent of households paid no individual income tax. In that same year, about 56.9 percent of U.S. households with an income between 40,000 and 50,000 U.S. dollars paid no individual income taxes.

Graph and download economic data for Personal Taxes: Federal Income Taxes by Number of Earners: Consumer Units of Two or More People, No Earners (CXUFEDTAXESLB0704M) from 1984 to 2023 about tax, persons, federal, personal, consumer, income, and USA.

Graph and download economic data for Personal Taxes: Federal Income Taxes by Number of Earners: Consumer Units of Two or More People, One Earner (CXUFEDTAXESLB0705M) from 1984 to 2022 about tax, federal, persons, personal, consumer, income, and USA.

Graph and download economic data for Personal Taxes: Federal Income Taxes by Race: Black or African American (CXUFEDTAXESLB0905M) from 1984 to 2023 about African-American, tax, federal, personal, income, and USA.

The graph displays the number of tax returns filed annually in the United States from 1997 to 2025. The x-axis represents the years, shown as two-digit abbreviations from '97 to '25, while the y-axis shows the total number of tax returns filed each year. The number of filings gradually increased from 120,351,208 in 1997 to a peak of 169,684,000 in 2020. After 2020, the trend reversed, with annual filings declining to 145,855,000 by 2025. The data highlights consistent growth through the early 2000s, followed by a notable drop in the mid-2020s.

Total tax revenue as a percentage of GDP indicates the share of a country's output that is collected by the government through taxes. It can thus be regarded as one measure of the degree to which the government controls the economy's resources. Taxes on incomes and profits as a percentage of GDP represents the amount of resources collected by government directly from the incomes of people and companies. Taxes on goods and services as a percentage of GDP represents the amount of resources the government collects from people as they spend their income on goods and services. Taxes are defined as compulsory, unrequited payments to general government. They are unrequited in the sense that benefits provided by government to taxpayers are not normally in proportion to their payments. Taxes on incomes and profits cover taxes levied on the net income or profits (gross income minus allowable tax reliefs) of individuals and enterprises. They also cover taxes levied on the capital gains of individuals and enterprises, and gains from gambling. Taxes on goods and services covers all taxes levied on the production, extraction, sale, transfer, leasing or delivery of goods, and the rendering of services, or on the use of goods or permission to use goods or to perform activities. They consist mainly of value added and sales taxes. Note that the sum of taxes on goods and services and taxes on income and profits do not equal total tax revenues, which also includes payments by employers and employees made under compulsory social security schemes as well as payroll taxes, taxes related to the ownership and transfer of property, and other taxes. Source URL: http://titania.sourceoecd.org/vl=10763390/cl=32/nw=1/rpsv/factbook/10-03-01.htm

The poly shapefile has for the statistics of the 2006 individual tax returns at county level for the lower 48 states. The stats show the number of tax returns, the number of refunds, number of Electronic and Paper tax returns, Total Avg. Adjusted Gross Income (AGI) etc. Look for part 2 and part 3 of the stats file elsewhere on the Finder!

The poly shapefile has individual income tax return stats at county level released by IRS. The statistics include the count of returns by age 30, 30 to 44, 45 to 60 and 60 plus, also include count of "single" returns, "Married and Joint returns", "Head of Household returns". count of tax returns with Schedule C (business investment profit/loss) attached, count of tax returns with Schedule F attached (farm investment profit/loss). You may find other tax related stats uploaded to Finder! as Part 1 and Part 2.

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 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.

In 2020, the average tax rate of the top 10 percent of earners in the United States stood at **** percent. For the top one percent of earners, the average tax rate stood at ***** percent, and for all taxpayers, the average tax rate was ***** percent.

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 data explores 2007 State Tax Collection by Source by State for the USA. Sources include property, sales, selective sales, individual income and corporate income. Source: U.S. Bureau of the Census. --- tax not levied at state level.

Key Table Information.Table Title.Mortgage Status by Median Real Estate Taxes Paid (Dollars).Table ID.ACSDT1Y2024.B25103.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, citie...

In 2025, approximately half of consumers in the United States expecting a tax return refund intended to save that money. Around 30 percent of respondents planned to either pay down debt or use the money for everyday expenses.

This data explores the state death tax revenue by year, collected by each state. The years 2001-2005 are accounted for here. Souce: U.S. Bureau of The Census, Government Tax Collections.

The poly shapefile has data for total number of business tax returns (electronic and paper filing) by type of businesses for the lower 48 state counties for the year 2006. The types of businesses include corporations, s-corporations, partnerships, estates and trusts. The data also has count of approved and active tax preparation entities that transmit returns electronically. They are referred to as ERO (Electronic Return Originators). Note: -99 refers to number of business tax returns less than 10.

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...