Graph and download economic data for Personal Taxes: Federal Income Taxes by Number of Earners: Consumer Units of Two or More People, Three or More Earners (CXUFEDTAXESLB0707M) from 1984 to 2023 about tax, federal, personal, consumer, income, persons, and USA.

In total, about 59.9 percent of U.S. households paid income tax in 2022. The remaining 40.1 percent of households paid no individual income tax. In that same year, about 47.1 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 U.S Individual Income Tax: Tax Rates for Regular Tax: Highest Bracket (IITTRHB) from 1913 to 2018 about individual, tax, income, rate, and USA.

This dataset combines annual files from 2005 to 2017 published by the IRS. ZIP Code data show selected income and tax items classified by State, ZIP Code, and size of adjusted gross income. Data are based on individual income tax returns filed with the IRS. The data include items, such as:

Number of returns, which approximates the number of householdsNumber of personal exemptions, which approximates the populationAdjusted gross income (AGI)Wages and salariesDividends before exclusionInterest received Enrichment and notes:- the original data sheets (a column per variable, a line per year, zipcode and AGI group) have been transposed to get a record per year, zipcode, AGI group and variable- the data for Wyoming in 2006 was removed because AGI classes were not correctly defined, making the resulting data unfit for analysis.- the AGI groups have seen their definitions change: the variable "AGI Class" was used until 2008, with various intervals of AGI; "AGI Stub" replaced it in 2009. We provided the literal intervals (eg. "$50,000 under $75,000") as "AGI Group" in each case to help the analysis.- the codes for each tax item have been joined with a dataset of variables to provide full names.- some tax items are available since 2005, others since more recent years, depending on their introduction date (available in the dataset of variables); as a consequence, the time range of the plots or graphs may vary.- the unit for amounts and AGIs is a thousand dollars.

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.

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

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, personal, consumer, income, persons, and USA.

Taxes are grouped into six major categories: property, general sales, personal income, business income, real estate-related, and other. We also separate non-exported and exported taxes, that is, taxes levied on New York City resident households and businesses and taxes levied on nonresidents. Taxes in the former category enter into the calculation of New York City tax effort. The latter category includes sales and other taxes on hotel occupancy, city income taxes paid by commuters into the city, and portions of state and MTA auto rental taxes remitted in the city. We could not, however, estimate and net out non-hotel sales and other taxes paid by visitors to the city. Nor could we account, as we did in our previous report, for any New York City tax imports, that is, taxes of other, non-overlapping jurisdictions paid by city residents.1 For brief descriptions of the tables and figures along with methodological notes please see the Tax Effort Background and Methodology document.

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 we have chosen 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, we combined some subcategories. First, we are interested in total tax revenue (centaxtot), as well as the shares of total revenue coming from direct (centaxdirectsh) and indirect (centaxindirectsh) taxes. Further, we measure two sub-categories of direct taxation, namely taxes on property (centaxpropertysh) and income (centaxincomesh). For indirect taxes, we separate excises (centaxexcisesh), consumption (centaxconssh), and customs(centaxcustomssh). For a more detailed description of the dataset and the coding process, see the codebook available in the .zip-file.

During the current period, tax preparation companies have navigated fluctuating economic conditions with varying success. The onset of COVID-19 triggered a decline in corporate profit, leading many businesses to cut back on outsourced tax services. Such financial pullbacks resulted in a dip in revenue, as companies either opted to utilize in-house tax teams or neglected additional tax services entirely. Regardless, as vaccination rollouts facilitated reopening economies in 2021, consumer spending soared, revitalizing corporate profit and demand for external tax preparers from individuals and businesses. Rising unemployment due to the cooling labor market brought on by high interest rates has recently reduced the number of taxpayers who can afford the industry’s services, causing revenue to slump in 2024. Overall, revenue for tax preparation service companies has grown at a CAGR of 2.9% over the past five years, reaching $14.5 billion in 2025. This includes a 0.9% rise in revenue in that year. Technological advancements have significantly transformed the tax preparation landscape. The advent and integration of artificial intelligence (AI) have streamlined processes, enhancing the efficiency of tax service providers. Specifically, AI-driven software has reduced time spent on tax preparation by automating data analysis, thereby enabling tax professionals to pivot toward more value-added services such as tax planning and customer relationship management. Over time, this will reduce wage costs and boost profit. Despite these advancements, there's been a notable rise in electronic filing, posing a threat to traditional tax preparers as more software companies market user-friendly tax solutions directly to consumers. However, major companies have adapted by incorporating these technological tools into their offerings, aiming to provide more comprehensive services. Looking ahead, tax preparation businesses are poised to experience moderate growth amid shifting economic conditions. As the US economy is expected to rebound gradually from current financial challenges, GDP and disposable income are projected to grow, fostering demand for professional tax services. Yet, ongoing competition from digital solutions, coupled with potential changes in tax legislation under the new administration, could shape the industry's trajectory. Overall, revenue for tax preparation service businesses in the US is forecast to creep upward at a CAGR of 1.1% in the next five years, reaching $15.3 billion in 2030.

Context

Form 990 (officially, the "Return of Organization Exempt From Income Tax"1) is a United States Internal Revenue Service form that provides the public with financial information about a nonprofit organization. It is often the only source of such information. It is also used by government agencies to prevent organizations from abusing their tax-exempt status. Source: https://en.wikipedia.org/wiki/Form_990

Content

Form 990 is used by the United States Internal Revenue Service to gather financial information about nonprofit/exempt organizations. This BigQuery dataset can be used to perform research and analysis of organizations that have electronically filed Forms 990, 990-EZ and 990-PF. For a complete description of data variables available in this dataset, see the IRS’s extract documentation: https://www.irs.gov/uac/soi-tax-stats-annual-extract-of-tax-exempt-organization-financial-data.

Update Frequency: Annual

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Acknowledgements

https://bigquery.cloud.google.com/dataset/bigquery-public-data:irs_990

https://cloud.google.com/bigquery/public-data/irs-990

Dataset Source: U.S. Internal Revenue Service. This dataset is publicly available for anyone to use under the following terms provided by the Dataset Source - http://www.data.gov/privacy-policy#data_policy - and is provided "AS IS" without any warranty, express or implied, from Google. Google disclaims all liability for any damages, direct or indirect, resulting from the use of the dataset.

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Inspiration

What organizations filed tax exempt status in 2015?

What was the revenue of the American Red Cross in 2017?

This statistic shows the total personal income in the United States from 1990 to 2023. The data are in current U.S. dollars not adjusted for inflation or deflation. According to the BEA, personal income is the income that is received by persons from all sources. It is calculated as the sum of wage and salary disbursements, supplements to wages and salaries, proprietors' income with inventory valuation and capital consumption adjustments, rental income of persons with capital consumption adjustment, personal dividend income, personal interest income, and personal current transfer receipts, less contributions for government social insurance. Personal income increased to about 23 trillion U.S. dollars in 2023.Personal income Personal income in the United States has risen steadily over the last decades from 5.07 trillion U.S. dollars in 1991 to 23 trillion U.S. dollars in 2023. Personal income includes all earnings including wages, investments, and other sources. Personal income also varied widely across the U.S., where those living in the District of Columbia, on the higher scale, earned an average of 96,873 U.S. dollars per capita and on the lower end of the spectrum, people in Mississippi earned 45,438 U.S. dollars per capita. In the District of Columbia, disposable income averaged some 81,193 U.S. dollars. In total, California earned the most personal income followed by Texas, receiving three trillion U.S. dollars and 1.76 trillion U.S. dollars, respectively. Income tends to vary widely between demographics in the United States. Those with higher education levels tend to earn more money. However, only 25.7 percent of persons with a disability that had a Bachelor's degree or higher were employed in 2020. The Social Security and Supplemental Security Income disability programs provide monetary benefits to the disabled and certain family members.

Income and Tax statistics by town for calendar year 2014. Towns with fewer than ten returns have been aggregated into the row called "Suppressed."

This study developed a framework for quantifying the amount of risk sharing among states in the United States, and constructed data that allowed researchers to decompose the cross-sectional variance in gross state product into levels of smoothing capital markets, federal government, and credit market smoothing. The collection contains 67 Excel data files, that were grouped into 17 datasets based on the organizational ordering schematic provided by the principal investigator, including: Dataset 1 - State Personal Income: n=1,938, 51 variables Dataset 2 - Federal Taxes and Contributions: n=17,948, 424 variables Dataset 3 - State Population: n=1,887, 51 variables Dataset 4 - State and Local Personal Taxes: n=11,526, 306 variables Dataset 5 - Interests on State and Local Funds: n=7,609, 205 variables Dataset 6 - Transfers: n=5,814, 153 variables Dataset 7 - Non Federal State Income: n=1,887, 51 variables Dataset 8 - Federal Grants: n=1,938, 51 variables Dataset 9 - Federal Transfers to Individuals: n=27,415, 766 variables Dataset 10 - Federal Personal Taxes: n=1,938, 51 variables Dataset 11 - State Government Expenditure: n=1,887, 51 variables Dataset 12 - Disposable State Income: n=1,836, 51 variables Dataset 13 - State Consumption: n=5,508, 153 variables Dataset 14 - State and Local Transfers: n=1,836, 51 variables Dataset 15 - Gross State Product: n=1,910, 52 variables Dataset 16 - Retail Sales: n=3,774, 102 variables Dataset 17 - Personal Consumption Expenditures: n=38, 2 variables

In 2020, the average tax rate of the top 10 percent of earners in the United States stood at 20.3 percent. For the top one percent of earners, the average tax rate stood at 25.99 percent, and for all taxpayers, the average tax rate was 13.63 percent.

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.

United States US: Revenue and Grants: Revenue: Taxes on Income: Profits and Capital Gains: % of Revenue data was reported at 53.743 % in 2016. This records a decrease from the previous number of 54.048 % for 2015. United States US: Revenue and Grants: Revenue: Taxes on Income: Profits and Capital Gains: % of Revenue data is updated yearly, averaging 53.312 % from Sep 1972 (Median) to 2016, with 45 observations. The data reached an all-time high of 59.358 % in 1972 and a record low of 45.501 % in 2009. United States US: Revenue and Grants: Revenue: Taxes on Income: Profits and Capital Gains: % of Revenue data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s United States – Table US.World Bank.WDI: Government Revenue, Expenditure and Finance. Taxes on income, profits, and capital gains are levied on the actual or presumptive net income of individuals, on the profits of corporations and enterprises, and on capital gains, whether realized or not, on land, securities, and other assets. Intragovernmental payments are eliminated in consolidation.; ; International Monetary Fund, Government Finance Statistics Yearbook and data files.; Median;

Graph and download economic data for Personal Taxes: Federal Income Taxes by Race: White, Asian, and All Other Races, Not Including Black or African American (CXUFEDTAXESLB0902M) from 1984 to 2023 about asian, tax, white, federal, personal, income, and USA.

Regressive taxation has increasingly played an important role in financing public programs, but current scholarship remains largely silent on the conditions under which people would support such financing strategies. This paper fills this gap by focusing on the United States, where sales taxes account for nearly one-third of state government revenue, and where sales tax ballot measures have received majority support. This paper utilizes an online survey experiment to examine two potential sources of public support for a sales tax increase: equal treatment beliefs (i.e., that all should pay the same tax rate) and a lack of public awareness of the distributive consequences of sales taxes. I find that exposure to information about sales taxes' distributive consequences significantly reduced respondents' support for a sales tax increase, but that equal treatment beliefs had no significant effect on such support. Additional analyses suggest that other-regarding motivations are a plausible mechanism underlying the effects of information provision. These findings shed light on how misperceptions of tax burdens shape support for regressive taxation and have broad implications for the role of fairness beliefs in the formation of tax policy preferences.

In a model where agents differ in wages and preferences over labor time-consumption bundles, we study labor income tax schemes that alleviate poverty. To avoid conflict with individual well-being, we require redistribution to take place between agents on both sides of the poverty line provided they have the same labor time. This requirement is combined with effciency and robustness properties. Maximizing the resulting social preferences under incentive compatibility constraints yields the following evaluation criterion: tax schemes should minimize the labor time required to reach the poverty line. We apply this criterion to European countries and the US. The data and code provided allow to replicate this application.