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 State Tax Collections: Total Taxes for Maine (QTAXTOTALQTAXCAT3MENO) from Q1 1994 to Q3 2024 about collection, ME, tax, and USA.

USAID's Collecting Taxes Database (CTD) is a compilation of international statistics about taxation designed to provide policymakers, practitioners, and researchers with the means to conduct analysis on domestic revenue mobilization (DRM). It is part of a wider agenda of the international community to help countries strengthen their tax systems and mobilize domestic revenue. The CTD includes information on tax performance and tax administration variables for 200 countries and territories. USAID plans to update the CTD annually. The CTD comprises a set of 30 indicators divided into three main categories -- (1) Tax Rates and Structure; (2) Tax Performance; and (3) Tax Administration -- and includes information on 200 national tax systems. The tax administration indicators examine the main features of the revenue authority.

Key information about United States Tax Revenue

• US Tax Revenue was reported at 510.819 USD bn in Jan 2025.
• This records an increase from the previous figure of 451.093 USD bn for Dec 2024.
• US Tax Revenue data is updated monthly, averaging 107.897 USD bn from Dec 1967 to Jan 2025, with 686 observations.
• The data reached an all-time high of 851.434 USD bn in Apr 2022 and a record low of 10.507 USD bn in Oct 1968.
• US Tax Revenue data remains active status in CEIC and is reported by CEIC Data.
• The data is categorized under World Trend Plus’s Global Economic Monitor – Table: Tax Revenue: USD: Monthly.

CEIC calculates monthly Tax Revenue as the sum of Individual Income Taxes, Corporation Income Taxes, Social Insurance Taxes, Excise Tax, Estate and Gift Taxes and Customs Duties. The Bureau of the Fiscal Service provides Tax Revenue in USD.

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.

Graph and download economic data for Personal Taxes: Federal Income Taxes by Deciles of Income Before Taxes: Third 10 Percent (21st to 30th Percentile) (CXUFEDTAXESLB1504M) from 2014 to 2023 about percentile, tax, federal, personal, income, and USA.

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.

Key information about India Tax Revenue

• India Tax Revenue was reported at 7.014 USD bn in Jan 2025.
• This is a decrease from the previous figure of 47.031 USD bn for Dec 2024.
• India Tax Revenue data is updated monthly, averaging 6.918 USD bn from Apr 1997 to Jan 2025, with 334 observations.
• The data reached an all-time high of 57.464 USD bn in Mar 2024 and a record low of -8.877 USD bn in Feb 2022.
• India Tax Revenue data remains active status in CEIC and is reported by CEIC Data.
• The data is categorized under World Trend Plus’s Global Economic Monitor – Table: Tax Revenue: USD: Monthly.

CEIC converts monthly Tax Revenue into USD. The Controller General of Accounts provides Tax Revenue in local currency. Federal Reserve Board average market exchange rate is used for currency conversions. Tax Revenue covers Central Government only.

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.

Graph and download economic data for State Tax Collections: Total Taxes for Connecticut (QTAXTOTALQTAXCAT3CTNO) from Q1 1994 to Q4 2024 about collection, CT, tax, and USA.

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

Comprehensive Federal Tax Lien Data by CompCurve Unlock unparalleled insights into tax lien records with CompCurve Federal Tax Lien Data, a robust dataset sourced directly from IRS records. This dataset is meticulously curated to provide detailed information on federal tax liens, unsecured liens, and tax-delinquent properties across the United States. Whether you're a real estate investor, financial analyst, legal professional, or data scientist, this dataset offers a treasure trove of actionable data to fuel your research, decision-making, and business strategies. Available in flexible formats like .json, .csv, and .xls, it’s designed for seamless integration via bulk downloads or API access, ensuring you can harness its power in the way that suits you best.

IRS Tax Lien Data: Unsecured Liens in Focus At the heart of this offering is the IRS Tax Lien Data, capturing critical details about unsecured federal tax liens. Each record includes key fields such as taxpayer full name, taxpayer address (broken down into street number, street name, city, state, and ZIP), tax type (e.g., payroll taxes under Form 941), unpaid balance, date of assessment, and last day for refiling. Additional fields like serial number, document ID, and lien unit phone provide further granularity, making this dataset a goldmine for tracking tax liabilities. With a history spanning 5 years, this data offers a longitudinal view of tax lien trends, enabling users to identify patterns, assess risk, and uncover opportunities in the tax lien market.

Detailed Field Breakdown for Precision Analysis The Federal Tax Lien Data is structured with precision in mind. Every record includes a document_id (e.g., 2025200700126004) as a unique identifier, alongside the IRS-assigned serial_number (e.g., 510034325). Taxpayer details are comprehensive, featuring full name (e.g., CASTLE HILL DRUGS INC), and, where applicable, parsed components like first name, middle name, last name, and suffix. Address fields are equally detailed, with street number, street name, unit, city, state, ZIP, and ZIP+4 providing pinpoint location accuracy. Financial fields such as unpaid balance (e.g., $15,704.43) and tax period ending (e.g., 09/30/2024) offer a clear picture of tax debt, while place of filing and prepared_at_location tie the data to specific jurisdictions and IRS offices.

National Coverage and Historical Depth Spanning the entire United States, this dataset ensures national coverage, making it an essential resource for anyone needing a coast-to-coast perspective on federal tax liens. With 5 years of historical data, users can delve into past tax lien activity, track refiling deadlines (e.g., 01/08/2035), and analyze how tax debts evolve over time. This historical depth is ideal for longitudinal studies, predictive modeling, or identifying chronic tax delinquents—key use cases for real estate professionals, lien investors, and compliance experts.

Expanded Offerings: Secured Real Property Tax Liens Beyond unsecured IRS liens, CompCurve enhances its portfolio with the Real Property Tax Lien File, focusing on secured liens tied to real estate. This dataset includes detailed records of property tax liens, featuring fields like tax year, lien year, lien number, sale date, interest rate, and total due. Property-specific data such as property address, APN (Assessor’s Parcel Number), FIPS code, and property type ties liens directly to physical assets. Ownership details—including owner first name, last name, mailing address, and owner-occupied status—add further context, while financial metrics like face value, tax amount, and estimated equity empower users to assess investment potential.

Tax Delinquent Properties: A Wealth of Insights The Real Property Tax Delinquency File rounds out this offering, delivering a deep dive into tax-delinquent properties. With fields like tax delinquent flag, total due, years delinquent, and delinquent years, this dataset identifies properties at risk of lien escalation or foreclosure. Additional indicators such as bankruptcy flag, foreclosure flag, tax deed status, and payment plan flag provide a multi-dimensional view of delinquency status. Property details—property class, building sqft, bedrooms, bathrooms, and estimated value—combined with ownership and loan data (e.g., total open loans, estimated LTV) make this a powerhouse for real estate analysis, foreclosure tracking, and tax lien investment.

Versatile Formats and Delivery Options CompCurve ensures accessibility with data delivered in .json, .csv, and .xls formats, catering to a wide range of technical needs. Whether you prefer bulk downloads for offline analysis or real-time API access for dynamic applications, this dataset adapts to your workflow. The structured fields and consistent data types—such as varchar, decimal, date, and boolean—ensure compatibility with databases, spreadsheets, and programming environments, making it easy to integrate into your ...

Data, geospatial data resources, and the linked mapping tool and web services reflect data for two types of potentially qualifying energy communities: 1) Census tracts and directly adjoining tracts that have had coal mine closures since 1999 or coal-fired electric generating unit retirements since 2009. These census tracts qualify as energy communities. 2) Metropolitan statistical areas (MSAs) and non-metropolitan statistical areas (non-MSAs) that are energy communities for 2023 and 2024, along with their fossil fuel employment (FFE) status. Additional information on energy communities and related tax credits can be accessed on the Interagency Working Group on Coal & Power Plant Communities & Economic Revitalization Energy Communities website (https://energycommunities.gov/energy-community-tax-credit-bonus/). Use limitations: these spatial data and mapping tool may not be relied upon by taxpayers to substantiate a tax return position or for determining whether certain penalties apply and will not be used by the IRS for examination purposes. The mapping tool does not reflect the application of the law to a specific taxpayer’s situation, and the applicable Internal Revenue Code provisions ultimately control.

Graph and download economic data for State Tax Collections: Total Taxes for Virginia (QTAXTOTALQTAXCAT3VANO) from Q1 1994 to Q4 2024 about collection, tax, VA, and USA.

Top 100 Delinquent Individual Taxpayers

Graph and download economic data for State Tax Collections: Total Taxes for Georgia (QTAXTOTALQTAXCAT3GANO) from Q1 1994 to Q4 2024 about Georgia, collection, tax, and USA.

This dataset has been clipped to the Broward County extent from the Census dataset available through the United States Department of Treasury Community Development Financial Institutions (CDFI) Fund.

OPPORTUNITY ZONES RESOURCES: downloaded from Census : https://www.cdfifund.gov/Pages/Opportunity-Zones.aspx

The authority to implement IRC 1400Z-1 and 1400Z-2 has been delegated to the IRS. The CDFI Fund is supporting the IRS with the Opportunity Zone nomination and designation process under IRC 1400Z-1 only. In addition to an initial set of proposed regulations and guidance on how the Qualified Opportunity Zone (QOZ) tax benefits under IRC 1400Z-2 (including the certification of Qualified Opportunity Funds (QOFs) and eligible investments in QOZs) will be administered, Treasury and IRS have issued a second set of proposed regulations relating to gains that may be deferred as a result of a taxpayer's investment in a QOF, special rules for an investment in a QOF held by a taxpayer for at least 10 years, and updates to portions of previously proposed regulations under section 1400Z-2 to address various issues, including: the definition of “substantially all.” You may submit comments on the proposed regulations electronically via the Federal Rulemaking Portal at www.regulations.gov (IRS REG-115420-18 or IRS REG 120186-18).Concurrent with the second set of proposed regulations, Treasury and IRS published a request for information (RFI), asking for detailed comments regarding ways to assess QOF investments including asset class, identification of Qualified Opportunity Zones and the impact and outcomes on those Qualified Opportunity Zones. You may submit comments on the RIF electronically via the Federal Rulemaking Portal at www.regulations.gov (TREAS-DO-2019-0004). IRS also has posted a list of Frequently Asked Questions about Opportunity Zones on the irs.gov Tax Reform pages. You will want to monitor the Tax Reform page at the IRS website for additional Opportunity Zone information and other Tax Reform information. For any other questions, please call (800) 829-1040.

List of designated Qualified Opportunity Zones (QOZs): This spreadsheet was updated December 14, 2018, to include two additional census tracts in Puerto Rico that, based on 2012-2016 American Community Survey data, meet the statutory criteria for a Low-Income Community and are deemed as designated QOZs. Based on nominations of eligible census tracts by the Chief Executive Officers of each State, Treasury has completed its designation of Qualified Opportunity Zones. Each State nominated the maximum number of eligible tracts, per statute, and these designations are final. The statute and legislative history of the Opportunity Zone designations, under IRC § 1400Z, do not contemplate an opportunity for additional or revised designations after the maximum number of zones allowable have been designated in a State or Territory. Based on IRC 1400Z-1, designations are based upon the boundaries of the tract at the time of the designation in 2018, and do not change over the period of the designation, even if the boundaries of an individual census tract are redefined in future Census releases.

Source: United States Census Bureau

Effective Date:

Last Update:12/14/2018

Update Cycle: As needed, Census occurs once every decade

Keyword counts from US Presidential State of the Union Addresses and Presidential Budget Messages. This was done using the Python scripts provided under https://github.com/JeremySilver/KeywordCountsPresidentialMessages. The raw text data is from The American Presidency Project (UCSB), with some Presidential Budget Messages being extracted from US Federal Budget documents available through FRASER (a digital library of U.S. economic, financial, and banking history) or, for the more recent documents the website of the White House.

The data headings are:

• pid: in most cases, this is the index for the text document as archived on The American Presidency Project website. In some cases, this was the filename of a plain-text file read directly.
• year: Year that the message was delivered.
• date: Date that the message was delivered.
• name: Name of the US President delivering the message.
• count_of_all_words: Count of all words in the document.
• count_of_keywords: Count of all keywords encountered in that document.
• Keyword specific columns - three per keyword. For example, for the 'energy' keyword, the 'energy' column gives the number of times the 'energy' keyword was counted in the message, 'energy_pct_of_keywords' gives this count as a percentage of all keywords, and 'energy_pct_of_all_words' gives this count as a percentage of all words

Below is the list of keywords that match when the search is applied to a dictionary file containing over 99,000 US English words.

• energy: 'energy'
• tax: 'nontaxable', 'overtax', 'overtaxed', 'overtaxes', 'overtaxing', 'surtax', 'surtaxed', 'surtaxes', 'surtaxing', 'surtaxs', 'tax', 'taxable', 'taxation', 'taxations', 'taxed', 'taxes', 'taxing', 'taxpayer', 'taxpayers', 'taxs'
• defense: 'defend', 'defense'
• education: 'education'
• employment: 'employ', 'employable', 'employe', 'employed', 'employee', 'employees', 'employer', 'employers', 'employes', 'employing', 'employment', 'employments', 'employs', 'underemployed', 'unemployable', 'unemployed', 'unemployeds', 'unemployment', 'unemployments'
• research: 'research', 'researched', 'researcher', 'researchers', 'researches', 'researching', 'researchs'
• shooting: 'shooting'
• space: 'space'
• nuclear: 'nuclear'
• natural resources: 'natural resources'
• racism: 'racism', 'civil rights'
• crime: 'crime', 'crimes', 'criminal', 'criminally', 'criminals', 'decriminalization', 'decriminalizations', 'decriminalize', 'decriminalized', 'decriminalizes', 'decriminalizing'
• environment: 'environment', 'environmental', 'environmentalism', 'environmentalisms', 'environmentalist', 'environmentalists', 'environmentally', 'environments'
• religion: 'faith', 'god', 'prayer', 'religion'
• health: 'health', 'healthful', 'healthfully', 'healthfulness', 'healthfulnesss', 'healthier', 'healthiest', 'healthily', 'healthiness', 'healthinesss', 'healths', 'healthy', 'unhealthful', 'unhealthier', 'unhealthiest', 'unhealthy'
• terror: 'terror', 'terrorism', 'terrorisms', 'terrorist', 'terrorists', 'terrorize', 'terrorized', 'terrorizes', 'terrorizing', 'terrors'
• war: 'war', 'warrior', 'warriors', 'wars'
• economy: 'economic', 'economical', 'economically', 'economics', 'economicss', 'economy', 'economys', 'microeconomics', 'microeconomicss', 'socioeconomic', 'uneconomic', 'uneconomical'
• jobs: 'jobs'
• business: 'agribusiness', 'agribusinesses', 'agribusinesss', 'business', 'businesses', 'businesslike', 'businessman', 'businessmans', 'businessmen', 'businesss', 'businesswoman', 'businesswomans', 'businesswomen'
• drugs: 'drugs', 'narcotics'
• inflation: 'inflation'
• climate: 'climate'
• science: 'science', 'sciences', 'scientific', 'scientifically', 'scientist', 'scientists'
• gun: 'gun', 'gunfire', 'gunman', 'guns', 'handgun', 'rifle', 'shotgun'
• tech: 'biotechnology', 'biotechnologys', 'technical', 'technological', 'technologically', 'technologies', 'technologist', 'technologists', 'technology', 'technologys'
• military: 'military'
• security: 'security'
• housing: 'housing'
• pollution: 'pollution'

The dictionary file used is a standard file among Linux systems, and the version used was provided with version 7.1-1 of the Ubuntu 'wamerican' package. Two extra phrases, which do not appear in the dictionary file, are added to the list: 'civil rights' (under the 'racism' keyword) and 'natural resources' (under the 'natural resources' theme).