In 2021, the agriculture sector contributed around 0.94 percent to the Gross Domestic Product (GDP) of the United States. In that same year, 17.61 percent came from industry, and the service sector contributed the most to the GDP, at 76.4 percent.

In 2025, Brazil and Mexico were expected to be the countries with the largest gross domestic product (GDP) in Latin America and the Caribbean. In that year, Brazil's GDP could reach an estimated value of 2.3 trillion U.S. dollars, whereas Mexico's amounted to almost 1.8 trillion U.S. dollars. GDP is the total value of all goods and services produced in a country in a given year. It measures the economic strength of a country and a positive change indicates economic growth.

U.S. Public Debt vs. GDP

Trends and Comparisons

By Charlie Hutcheson [source]

About this dataset

This dataset contains quarterly data on the US Gross Domestic Product (GDP) and Total Public Debt from 1947 through 2020. It provides a comprehensive view into the development of debt versus GDP over the years, offering insights into how our economy has grown and changed since The Great Depression. Explore this valuable information to answer questions such as: How do debt and GDP relate to one another? Has US government spending been outpacing wealth throughout history? From what sources does our national debt originate? This dataset can be utilized by economists, governments, researchers, investors, financial institutions, journalists — anyone looking to gain a better understanding of where our economy stands today compared to past decades

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How to use the dataset

This dataset, U.S. GDP vs Debt Over Time, contains quarterly data on the Gross Domestic Product (GDP) and Total Public Debt of the United States between 1947 to 2020. This can be useful for conducting research into how the total public debt relates to economic growth in the US.

The dataset includes 4 columns: Quarter , Gross Domestic Product ($mil), Total Public Debt ($mil). The Quarter column consists of strings that represent each quarter from 1947-2020 with a corresponding number (e.g., “Q1-1947”). The Gross Domestic Product ($mil) and Total Public Debt ($mil) columns consist of numbers that indicate the respective amounts in millions for each quarter during this same time period.

By analyzing this dataset you can explore various trends over different periods as it relates to public debt versus economic growth in America and make informed decisions about how certain policies may affect future outcomes. Additionally, you could also compare these two values with other variables such as unemployment rate or inflation rate to gain deeper insights into America’s economy over time

Research Ideas

• Comparing the quarterly growth in GDP with public debt to show the correlation between economic growth and government spending.
• Creating a bar or line visualization that compares the US’s total public debt to comparable economic powers like China, Japan, and Europe over time.
• Examining how changes in government deficit have contributed towards an increase in public debt by analyzing which quarters saw significant leaps of growth from one year to the next

Acknowledgements

If you use this dataset in your research, please credit the original authors. Data Source

License

License: Dataset copyright by authors - You are free to: - Share - copy and redistribute the material in any medium or format for any purpose, even commercially. - Adapt - remix, transform, and build upon the material for any purpose, even commercially. - You must: - Give appropriate credit - Provide a link to the license, and indicate if changes were made. - ShareAlike - You must distribute your contributions under the same license as the original. - Keep intact - all notices that refer to this license, including copyright notices.

Columns

File: US GDP vs Debt.csv | Column name | Description | |:----------------------------------|:-------------------------------------------------------------------------------------------| | Quarter | The quarter of the year in which the data was collected. (String) | | Gross Domestic Product ($mil) | The total value of all goods and services produced by the US in a given quarter. (Integer) | | Total Public Debt ($mil) | The total amount owed by the federal government. (Integer) |

Acknowledgements

If you use this dataset in your research, please credit the original authors. If you use this dataset in your research, please credit Charlie Hutcheson.

This dataset contains historical quarterly data for the U.S. Real Gross Domestic Product, from the first quarter of 1947 to the Q2 2023. Real GDP is an inflation-adjusted measure that reflects the value of all goods and services produced by an economy in a given year, expressed in base-year prices, and is often considered an indicator of a country's standard of living.

The dataset has two columns:

Date: The end of the respective quarter (in MM/DD/0YYYY format). Value: The Real GDP at the end of the respective quarter.

Inspiration: Real GDP is a comprehensive measure of U.S. economic activity and a key tool for economic decision-making and forecasting. Real GDP is used by economists, policy-makers, researchers, and investors to understand the growth and performance of the U.S. economy over time.

Usability: The Real GDP data can be used for a variety of purposes:

Economic Analysis: It can be used for macroeconomic analysis and forecasting. Policy Understanding: It can help understand the impact and effectiveness of economic policies implemented by the U.S. government. Investment Analysis: GDP growth impacts financial markets, and this data can help investors understand and forecast market trends. Education: It can be used in classrooms for teaching economics, finance, and related disciplines.

The United States gross domestic product (GDP) was forecast to reach over 30.1 trillion U.S. dollars in 2025. Furthermore, by 2035, it is expected to surpass 43.9 trillion U.S. dollars. GDP refers to the market value of all final goods and services produced within a country in a given period.

Graph and download economic data for Shares of gross domestic product: Imports of goods and services (B021RE1A156NBEA) from 1929 to 2024 about Shares of GDP, imports, goods, services, GDP, and USA.

For a quick summary of the case study, please click "US Economy Powerpoint" and download the Powerpoint.

This dataset was inspired by rising prices for essential goods, the abnormally high inflation rate in March of 7.9 percent of this year, and the 30 trillion-dollar debt that we have. I was extremely curious to see how sustainable this is for the average American and if wages are increasing at the same rate to help combat this inflation. This is not politically driven in the slightest nor was this made to put the blame on Americans. This dataset was inspired by rising prices for essential goods and the abnormally high inflation rate in March of 7.9 percent of this year. I was extremely curious to see how sustainable this is for the average American and if wages are increasing at the same rate to help combat this inflation. This is not politically driven in the slightest nor was this made to put the blame on Americans. All of the datasets were obtained from third party sources websites such as https://dqydj.com/household-income-by-year/ and https://www.usinflationcalculator.com/inflation/historical-inflation-rates/ and only excluding https://fred.stlouisfed.org/series/ASPUS, which is first-party data.

This dataset was inspired by rising prices for essential goods and the abnormally high inflation rate in March of 7.9 percent of this year. I was extremely curious to see how sustainable this is for the average American and if wages are increasing at the same rate to help combat this inflation. This is not politically driven in the slightest nor was this made to put the blame on Americans. This dataset was inspired by rising prices for essential goods and the abnormally high inflation rate in March of 7.9 percent of this year. I was extremely curious to see how sustainable this is for the average American and if wages are increasing at the same rate to help combat this inflation. This is not politically driven in the slightest nor was this made to put the blame on Americans. All of the datasets were obtained from third party sources websites such as https://dqydj.com/household-income-by-year/ and https://www.usinflationcalculator.com/inflation/historical-inflation-rates/ and only excluding https://fred.stlouisfed.org/series/ASPUS, which is first-party data.

I labeled all of the datasets to be self-explanatory based off of the title of the datasets. The US Economy Notebook has most of the code that I used as well as the four of the six phases of data analysis. The last two phases are in the US Economy Powerpoint. The "US Historical Inflation Rates" dataset could have also been labeled "The Inflation Of The US Dollar Month By Month". Lastly, the Average Sales of Houses in Jan is just a filtered version of "Average Sales of Houses in the US" dataset.

Today's weakness in the US economy results from lack of aggregate demand, due to high and growing inequality, underinvestment in public infrastructure and technology that is complementary to private capital, continuing mild austerity, difficulties encountered in making the structural transformation from manufacturing to a service-based economy, and a financial sector failing to provide adequate funds to SMEs. An agenda to restore growth includes a carbon price, inducing climate investments; increased public investments in infrastructure and technology; fighting inequality through redistribution and rewriting the rules structuring the economy; and reforming the financial sector and the global reserve system.

Key information about US Tax revenue: % of GDP

• United States Tax revenue: % of GDP was reported at 16.5 % in Dec 2024.
• This records an increase from the previous number of 16.1 % for Dec 2023.
• US Tax revenue: % of GDP data is updated yearly, averaging 18.0 % from Dec 1968 to 2024, with 57 observations.
• The data reached an all-time high of 19.5 % in 2000 and a record low of 13.7 % in 2009.
• US Tax revenue: % of GDP 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: % of Nominal GDP: Annual.

CEIC calculates annual Tax Revenue as % of Nominal GDP from monthly Tax Revenue and annual Nominal GDP. Tax Revenue is calculated 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. The Bureau of Economic Analysis provides Nominal GDP in USD.

Examining the most heavily cited publications in labor economics from the early 1990s, I show that few of over 3,000 articles, citing them directly, replicates them. They are replicated more frequently using data from other time periods and economies, so that the validity of their central ideas has typically been verified. This pattern of scholarship suggests, beyond the currently required depositing of data and code upon publication, that there is little need for formal mechanisms for replication. The market for scholarship already produces replications of non-laboratory applied research.

In 2024, the real gross domestic product (GDP) of California was 3.37 trillion U.S. dollars. This is a slight increase from the previous year, when the state's GDP stood at 3.25 trillion U.S. dollars.

Graph and download economic data for Employed full time: Wage and salary workers: 55 years and over: Black or African American (LEU0252896200A) from 2000 to 2024 about 55 years +, African-American, full-time, salaries, workers, wages, employment, and USA.

We analyze the effect of an increase in knowledge-intensive activities on spatial inequality in U.S. cities. We leverage a predetermined network of patent citations to instrument for local innovation trends. Between 1990 and 2010, a one standard deviation increase in patent growth increases income segregation by 0.65 Gini points, corresponding to 0.31 standard deviations of the over-time change in income segregation. This effect mainly arises from the sorting of residents by income, occupation, and education. Local shocks to innovation induce a clustering of knowledge-intensive jobs and residents, amplified by the response of rents and amenities.

In 2024, the finance, real estate, insurance, rental, and leasing industry added the most value to the GDP of the United States. In that year, this industry added 6.2 trillion U.S. dollars to the national GDP. Gross Domestic Product Gross domestic product is a measure of how much a country produces in a certain amount of time. Countries with a high GDP tend to have large economies, for example, the United States. However, GDP does not take into consideration the cost of living and inflation rates, so it is not a good measure of the standard of living. GDP per capita at purchasing power parity is thought to be more reflective of living conditions within a particular country. U.S. GDP California added the largest amount of value to the real GDP of the U.S. in 2022. California was followed by Texas and New York. In California, the professional and business services industry was the most valuable to GDP in 2022. In New York, the finance, insurance, real estate, rental, and leasing industry added the most value to the state GDP. While the business sector added the highest value to the U.S. real GDP in 2021, it was the information industry that had the biggest percentage change in value added to the GDP between 2010 and 2021.

Graph and download economic data for Federal Surplus or Deficit [-] as Percent of Gross Domestic Product (FYFSDFYGDP) from 1930 to 2023 about budget, federal, percent, GDP, and USA.

We show that in a two-sector economy with heterogeneous capital subsidies and monopoly power, primal and dual measures of TFP growth can diverge from each other as well as from true technology. These distortions give rise to dynamic reallocation effects that imply technology growth needs to be measured from the bottom up rather than from the top down. Using Singapore as an example, we show how incomplete data can be used to estimate aggregate and sectoral technology growth as well as reallocation effects. Our framework can reconcile divergent TFP estimates in Singapore and can resolve other empirical puzzles regarding Asian development. (JEL E22, E23, E25, O33, O41, O47)

The United States has, by far, the largest gross domestic product (GDP) of the G7 countries. Moreover, while the GDP of the other six countries fluctuated between 2000 and 2024, the U.S.' grew almost constantly, reaching an estimated 29.2 trillion U.S. dollars in 2024. The United States is also the world's largest economy ahead of China. Germany had the second largest economy of the G7 countries at around 4.7 trillion U.S. dollars.

This paper studies the long-run economic impact of dismissing city councils infiltrated by organized crime. Applying a matched difference-in-differences design to the universe of Italian social security records, we find that city council dismissals (CCDs) increase employment, the number of firms, and industrial real estate prices. The effects are concentrated in Mafia-dominated sectors and in municipalities where fewer incumbents are re-elected. The dismissals generate large economic returns by weakening the Mafia and fostering trust in local institutions. The analysis suggests that CCDs represent an effective intervention for establishing legitimacy and spurring economic activity in areas dominated by organized crime.

The average for 2024 based on 17 countries was -4.18 percent. The highest value was in Puerto Rico: 9.11 percent and the lowest value was in Honduras: -24.01 percent. The indicator is available from 1960 to 2024. Below is a chart for all countries where data are available.

In 2023, the real GDP of the Los Angeles metro area amount to around 1.08 trillion U.S. dollars, and increase after 2021. The overall quarterly GDP growth in the United States can be found here. Gross domestic product of Los AngelesWith a population of over 12.8 million inhabitants in 2023, Los Angeles is the second-largest city in America, following only New York. The Los Angeles metro area also ranked second among U.S. metro areas in terms of gross metropolitan product, second again only to New York City metro area, which came in with a GMP of 1.99 trillion U.S. dollars to Los Angeles’ 1.13 trillion U.S. dollars in the fiscal year of 2021. Chicago metro area ranked third with GMP of 757.2 billion U.S. dollars. Additional detailed statistics about GDP in the United States is available here. Despite Los Angeles’ high GDP, L.A. did not do as well as some cities in terms of median household income. Los Angeles ranked 9th with a median household income of 76,135 U.S. dollars annually in 2022. This was slightly higher than the median household income of the United States in 2022, which came in at 74,580 U.S. dollars annually. Located in Southern California, Los Angeles is home to Hollywood, the famous epicenter of the U.S. film and television industries. The United States is one of the leading film markets worldwide, producing 449 films in 2022, many of them produced by Hollywood-based studios. In 2018, movie ticket sales in North America generated over 11.89 billion U.S. dollars in box office revenue. Famous Hollywood actresses earn millions annually, with the best paid, Sofia Vergara, earning 43 million U.S. dollars in 2020. Second on the list was Angelina Jolie with earnings of 35.5 million U.S. dollars.