This statistic shows the average effective U.S. corporate income tax rates in 2008, by industry. In 2008, corporations in the mining industry had an effective tax rate of 22.5 percent on average.

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.

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 Quintiles of Income Before Taxes: Lowest 20 Percent (1st to 20th Percentile) (CXUFEDTAXESLB0102M) from 1984 to 2023 about percentile, tax, federal, personal, income, and USA.

The statistic above provides information about the effective tax rate of multinational corporations on foreign taxable earnings in the Unites States, from 1992 to 2010. The average tax rate between 1992 and 2010 was **** percent. In 1999, the effective tax rate multinational corporations paid on foreign taxable earnings was **** percent.

The statistic above provides information on the average effective foreign income tax rate of U.S. corporations in 2010, by country. In 2010, U.S. corporations that earned taxable income in Norway had an average tax rate of ** percent.

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 Federal Receipts as Percent of Gross Domestic Product (FYFRGDA188S) from 1929 to 2024 about receipts, federal, GDP, and USA.

Estimated average effective property tax rate for owner-occupied homes in the United States in 2023

Graph and download economic data for Federal government current tax receipts: Taxes on production and imports: Customs duties (B235RC1Q027SBEA) from Q1 1959 to Q2 2025 about receipts, imports, tax, federal, production, government, GDP, and USA.

The Sales Tax Rate in the United States stands at 0 percent. This dataset provides - United States Sales Tax Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

President Trump's proposals to impose universal tariffs as well as tariffs on Chinese, Canadian, and Mexican imports would considerably increase the average tariff rate. It's estimated that, if put into effect, the average tariff rate including dutiable imports would reach almost 18 percent, up from two percent in 2024. Tariff rates are higher when dutiable imports are included because they refer only to goods that are actually subject to tariffs, rather than all imports. This skews the average tariff rate upward because it excludes duty-free goods. Trump's proposal for a universal 10 percent tariff on all imports would impose a flat tax on all imports, rather than just dutiable goods. This would result in a sharp increase in the overall tariff burden because previously duty-free goods would be taxed.

Graph and download economic data for Real Median Personal Income in the United States (MEPAINUSA672N) from 1974 to 2024 about personal income, personal, median, income, real, and USA.

This analysis presents a rigorous exploration of financial data, incorporating a diverse range of statistical features. By providing a robust foundation, it facilitates advanced research and innovative modeling techniques within the field of finance.

US Tax Calendar

Financial data:

• Historical daily stock prices (open, high, low, close, volume)

• Fundamental data (e.g., market capitalization, price to earnings P/E ratio, dividend yield, earnings per share EPS, price to earnings growth, debt-to-equity ratio, price-to-book ratio, current ratio, free cash flow, projected earnings growth, return on equity, dividend payout ratio, price to sales ratio, credit rating)

• Technical indicators (e.g., moving averages, RSI, MACD, average directional index, aroon oscillator, stochastic oscillator, on-balance volume, accumulation/distribution A/D line, parabolic SAR indicator, bollinger bands indicators, fibonacci, williams percent range, commodity channel index)

Machine learning features:

• Feature engineering based on financial data and technical indicators

• Sentiment analysis data from social media and news articles

• Macroeconomic data (e.g., GDP, unemployment rate, interest rates, consumer spending, building permits, consumer confidence, inflation, producer price index, money supply, home sales, retail sales, bond yields)

Potential Applications:

• Stock price prediction

• Portfolio optimization

• Algorithmic trading

• Market sentiment analysis

• Risk management

Use Cases:

• Researchers investigating the effectiveness of machine learning in stock market prediction

• Analysts developing quantitative trading Buy/Sell strategies

• Individuals interested in building their own stock market prediction models

• Students learning about machine learning and financial applications

Additional Notes:

• The dataset may include different levels of granularity (e.g., daily, hourly)

• Data cleaning and preprocessing are essential before model training

• Regular updates are recommended to maintain the accuracy and relevance of the data

Uruguay had the highest carbon tax rate worldwide as of April 2025, at *** U.S. dollars per metric ton of CO₂ equivalent (USD/tCO₂e). Despite being the most expensive across the globe, Uruguay’s carbon tax covered only about five percent of the country's greenhouse gas emissions that year. Finland – the world's first country to implement a carbon tax – had a rate of almost ** USD/tCO₂e. How do carbon taxes work? Carbon taxes are a type of environmental tax, typically levied on fossil fuels and certain high-polluting industrial processes. Governments set a price per unit of carbon emitted, which can vary depending on the jurisdiction and may be set by legislation or through a market-based mechanism. The revenue generated from carbon taxes can be used in various ways, such as investing it in renewable energy projects or climate adaptation initiatives. Altogether, carbon taxes aim to ensure that big polluters bear the costs of their environmental impact while providing an economic incentive to reduce their carbon footprint. Emissions trading systems (ETS) ETS are one of the main carbon pricing instruments worldwide. They work on a cap-and-trade principle, which limits the emissions a participant can produce each year through allowances. These can be allocated through various methods, such as auctions, free allocation based on historical emissions, or a combination of both. In addition to that, entities are also allowed to buy and sell allowances among themselves in a regulated market.

In 2024, the median household income in the United States was 83,730 U.S. dollars. This reflected an increase from the previous year. Household income The median household income depicts the income of households, including the income of the householder and all other individuals aged 15 years or over living in the household. Income includes wages and salaries, unemployment insurance, disability payments, child support payments received, regular rental receipts, as well as any personal business, investment, or other kinds of income received routinely. The median household income in the United States varied from state to state. In 2024, Massachusetts recorded the highest median household income in the country, at 113,900 U.S. dollars. On the other hand, Mississippi, recorded the lowest, at 55,980 U.S. dollars.Household income is also used to determine the poverty rate in the United States. In 2024, 10.6 percent of the U.S. population was living below the national poverty line. This was the lowest level since 2019. Similarly, the child poverty rate, which represents people under the age of 18 living in poverty, reached a three-decade low of 14.3 percent of the children. The state with the widest gap between the rich and the poor was New York, with a Gini coefficient score of 0.52 in 2024. The Gini coefficient is calculated by looking at average income rates. A score of zero would reflect perfect income equality, while a score of one indicates complete inequality.

Homeowners’ association fees were the largest monthly maintenance costs for American homeowners in 2017 and amounted to *** U.S. dollars. Property taxes, utility bills, and repairs and general maintenance costs were the next biggest maintenance costs in that year. Homeowners’ associations are organizations which make and enforce rules in the subdivision, condominium or planned housing community. Membership is a condition for buying a home within the community.

The rise of homeowners’ associations The number of residents who were part of community associations is rising year-on-year. About ** percent of these community associations are homeowners’ associations, whereas the remainder are condo communities or cooperatives. The volume of community associations is also increasing across the country.

Property taxes Property taxes vary between states with the highest effective rates at over two percent and the lowest coming in at less than one percent. The states with the highest property tax rates are predominantly located on the east coast, whereas the states with property tax rates of less than one percent are mostly southern states.

Graph and download economic data for Real Disposable Personal Income: Per Capita (A229RX0) from Jan 1959 to Aug 2025 about disposable, personal income, per capita, personal, income, real, and USA.