In 2024, the finance, insurance, real estate, rental, and leasing industry contributed the highest amount of value to the GDP of the U.S. at 21.2 percent. The construction industry contributed around four percent of GDP in the same year.

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.

Monthly and long-term United States economic indicators data: historical series and analyst forecasts curated by FocusEconomics.

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.

The statistic shows the distribution of the workforce across economic sectors in the United States from 2013 to 2023. In 2023, 1.57 percent of the workforce in the US was employed in agriculture, 19.34 percent in industry and 79.09 percent in services. See U.S. GDP per capita for more information. American workforce A significant majority of the American labor force is employed in the services sector, while the other sectors, industry and agriculture, account for less than 20 percent of the US economy. However, the United States is among the top exporters of agricultural goods – the total value of US agricultural exports has more than doubled since 2000. A severe plunge in the employment rate in the US since 1990 shows that the American economy is still in turmoil after the economic crisis of 2008. Unemployment is still significantly higher than it was before the crisis, and most of those unemployed and looking for a job are younger than 25; youth unemployment is a severe problem for the United States, many college or university graduates struggle to find a job right away. Still, the number of employees in the US since 1990 has been increasing slowly, with a slight setback during and after the recession. Both the number of full-time and of part-time workers have increased during the same period. When looking at the distribution of jobs among men and women, both project the general downward trend. A comparison of the employment rate of men in the US since 1990 and the employment rate of women since 1990 shows that more men tend to be employed than women.

United States US: GDP: % of Manufacturing: Medium and High Tech Industry data was reported at 41.166 % in 2015. This stayed constant from the previous number of 41.166 % for 2014. United States US: GDP: % of Manufacturing: Medium and High Tech Industry data is updated yearly, averaging 49.199 % from Dec 1990 (Median) to 2015, with 26 observations. The data reached an all-time high of 51.786 % in 1998 and a record low of 38.398 % in 1996. United States US: GDP: % of Manufacturing: Medium and High Tech Industry data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s USA – Table US.World Bank: Gross Domestic Product: Share of GDP. The proportion of medium and high-tech industry value added in total value added of manufacturing; ; United Nations Industrial Development Organization (UNIDO), Competitive Industrial Performance (CIP) database; ;

View economic output, reported as the nominal value of all new goods and services produced by labor and property located in the U.S.

CONTENT

The figures are based on GDP (Nominal) and sector composition ratios provided by the CIA World Fact Book. Agriculture includes farming, fishing, and forestry. Industry includes mining, manufacturing, energy production, and construction. Services cover government activities, communications, transportation, finance, and all other private economic activities that do not produce material goods.

CONTEXT

• Agriculture Sector : Agriculture Sector contributes 6.4 percent of total world's economic production. Total production of sector is $5,084,800 million. China is the largest contributer followed by India. China and India accounts for 19.49 and 7.39 percent of total global agricultural output. World's largest economy United States is at third place. Next in line come Brazil and Indonesia

• **Industry Sector : **With GDP of $23,835 billion, Industry Sector holds a share of 30% of total GDP nominal. China is the largest contributor followed by US. Japan is at 3rd and Germany is at 4th place. These four countries contributes 45.84 of total global industrial output.

• Services Sector : Services sector is the largest sector of the world as 63 percent of total global wealth comes from services sector. United States is the largest producer of services sector with around 15.53 trillion USD. Services sector is the leading sector in 201 countries/economies. 30 countries receive more than 80 percent of their GDP from services sector. Chad has lowest 27% contribution by services sector in its economy.

This dataset includes various economic indicators such as stock market performance, inflation rates, GDP, interest rates, employment data, and housing index, all of which are crucial for understanding the state of the economy. By analysing this dataset, one can gain insights into the causes and effects of past recessions in the US, which can inform investment decisions and policy-making.

There are 20 columns and 343 rows spanning 1990-04 to 2022-10

The columns are:

1. Price: Price column refers to the S&P 500 lot price over the years. The S&P 500 is a stock market index that measures the performance of 500 large companies listed on stock exchanges in the United States. This variable represents the value of the S&P 500 index from 1980 to present. Industrial Production: This variable measures the output of industrial establishments in the manufacturing, mining, and utilities sectors. It reflects the overall health of the manufacturing industry, which is a key component of the US economy.

2. INDPRO: Industrial production measures the output of the manufacturing, mining, and utility sectors of the economy. It provides insights into the overall health of the economy, as a decline in industrial production can indicate a slowdown in economic activity. This data can be used by policymakers and investors to assess the state of the economy and make informed decisions.

3. CPI: CPI stands for Consumer Price Index, which measures the change in the prices of a basket of goods and services that consumers purchase. CPI inflation represents the rate at which the prices of goods and services in the economy are increasing.

4. Treasure Bill rate (3 month to 30 Years): Treasury bills (T-bills) are short-term debt securities issued by the US government. This variable represents the interest rates on T-bills with maturities ranging from 3 months to 30 years. It reflects the cost of borrowing money for the government and provides an indication of the overall level of interest rates in the economy.

5. GDP: GDP stands for Gross Domestic Product, which is the value of all goods and services produced in a country. This dataset is taking into account only the Nominal GDP values. Nominal GDP represents the total value of goods and services produced in the US economy without accounting for inflation.

6. Rate: The Federal Funds Rate is the interest rate at which depository institutions lend reserve balances to other depository institutions overnight. It is set by the Federal Reserve and is used as a tool to regulate the money supply in the economy.

7. BBK_Index: The BBKI are maintained and produced by the Indiana Business Research Center at the Kelley School of Business at Indiana University. The BBK Coincident and Leading Indexes and Monthly GDP Growth for the U.S. are constructed from a collapsed dynamic factor analysis of a panel of 490 monthly measures of real economic activity and quarterly real GDP growth. The BBK Leading Index is the leading subcomponent of the cycle measured in standard deviation units from trend real GDP growth.

8. Housing Index: This variable represents the value of the housing market in the US. It is calculated based on the prices of homes sold in the market and provides an indication of the overall health of the housing market.

9. Recession binary column: This variable is a binary indicator that takes a value of 1 when the US economy is in a recession and 0 otherwise. It is based on the official business cycle dates provided by the National Bureau of Economic Research.

CNBC Economy Articles Dataset is an invaluable collection of data extracted from CNBC’s economy section, offering deep insights into global and U.S. economic trends, market dynamics, financial policies, and industry developments.

This dataset encompasses a diverse array of economic articles on critical topics like GDP growth, inflation rates, employment statistics, central bank policies, and major global events influencing the market. Designed for researchers, analysts, and businesses, it serves as an essential resource for understanding economic patterns, conducting sentiment analysis, and developing financial forecasting models.

Dataset Highlights

Each record in the dataset is meticulously structured and includes:

• Article Titles
• Publication Dates
• Author Names
• Content Summaries
• URLs to Original Articles

This rich combination of fields ensures seamless integration into data science projects, research papers, and market analyses.

Key Features

• Number of Articles: Hundreds of articles sourced directly from CNBC.
• Data Fields: Includes title, publication date, author, article content, summary, URL, and relevant keywords.
• Topics Covered: U.S. and global economy, GDP trends, inflation, employment, financial markets, and monetary policies.
• Format: Delivered in CSV format for easy integration with research tools and analytical platforms.
• Source: Extracted directly from CNBC’s economy news section, ensuring accuracy and relevance.

Use Cases

• Economic Research: Gain insights into U.S. and global economic policies, market trends, and industry developments.
• Sentiment Analysis: Assess the sentiment of economic articles to gauge market perspectives and investor confidence.
• Financial Modeling: Build forecasting models leveraging key economic indicators discussed in the dataset.
• Content Creation: Develop research-backed reports, articles, and presentations on economic topics.

Who Benefits?

• Researchers & Academics studying macro-economics or financial policy.
  
• Data Scientists building AI models, trend analyzers, or economic forecasting tools.
  
• Economists & Analysts need real-world news data for policy analysis.
  
• Content Strategists who write data-backed articles about economic trends.

Why Choose This Dataset?

• No need to manually scrape CNBC — data is pre-extracted and clean.
  
• High-quality economy news metadata enables detailed filtering (by date, author, topic).
  
• Ready for machine learning, sentiment analysis, or building news-based economic models.
  
• Well-suited for trend tracking, policy analysis, and economic forecasting.

Explore More News Datasets

Interested in additional structured news datasets for your research or analytics needs? Check out our news dataset collection to find datasets tailored for diverse analytical applications.

These tables present a sequence of accounts that relate production, income and spending, capital formation, financial transactions, and asset revaluations to changes in net worth between balance sheets for the major sectors of the U.S. economy.

Overview

This dataset provides a comprehensive view of the SPDR Sector ETFs, representing various sectors of the U.S. economy. Each ETF corresponds to a specific sector within the S&P 500, offering an opportunity for investors to gain exposure to segments of the market. The data, including OHLCV (Open, High, Low, Close, Volume), is crucial for market analysis and modeling and has been extracted from Yahoo Finance using the yfinance library.

Content

The dataset consists of individual files for each SPDR ETF, covering sectors such as:

• XLC: Communication Services
• XLY: Consumer Discretionary
• XLE: Energy
• XLF: Financials
• XLV: Health Care
• XLI: Industrials
• XLB: Materials
• XLRE: Real Estate
• XLK: Technology
• XLU: Utilities

Additionally, a consolidated file all_sectors.csv contains detailed information with fields like:

• Ticker: Unique symbol identifying the ETF.
• Sector: Economic segment to which the ETF belongs.
• Date: Date of the data entry.
• Open: Starting price at the beginning of the trading day.
• High: Highest price during the trading day.
• Low: Lowest price during the trading day.
• Close: Final price at the end of the trading day.
• Volume: Total number of shares or contracts traded during the day.

Usage

This dataset is valuable for analysts, investors, and data enthusiasts looking to understand market dynamics, explore sector-wise performance, and build investment strategies. In the context of Kaggle, it's particularly relevant for creating machine learning models, artificial intelligence, and trend analysis, facilitating the identification of patterns and predictions in financial markets.

Acknowledgements

The information contained in this dataset is based on publicly available data from State Street Global Advisors and other reliable sources, with the OHLCV data specifically extracted from Yahoo Finance using the yfinance library. Users are encouraged to verify the data with official providers.

Note

Please use this data responsibly and be aware of any applicable legal and ethical considerations.

Graph and download economic data for Gross Domestic Product: Private Services-Providing Industries in Major County, OK (GDPSERV40093) from 2001 to 2023 about Major County, OK; services-providing; OK; private; industry; GDP; and USA.

Graph and download economic data for Gross Domestic Product: All Industries in Major County, OK (GDPALL40093) from 2001 to 2023 about Major County, OK; OK; industry; GDP; and USA.

In 2024, the education and health services industry employed the largest number of people in the United States. That year, about 37 million people were employed in the education and health services industry. Education and Health Services Industry Despite being one of the wealthiest nations in the world, the United States has started to fall behind in both education and the health care industry. Although the U.S. spends the most money in both these industries, they do not see their desired results in comparison to other nations. Furthermore, in the education services industry, there was a relatively significant wage gap between men and women. In 2019, men earned about 1,070 U.S. dollars per week on average, while their female counterparts only earned 773 U.S. dollars per week. Employment in the U.S. The 2008 financial crisis was a large-scale event that impacted the entire world, especially the United States. The economy started to improve after 2010, and the number of people employed in the United States has been steadily increasing since then. However, the number of people employed in the education sector is expected to slowly decrease until 2026. The overall unemployment rate in the United States has decreased since 2010 as well.

Graph and download economic data for Real Gross Domestic Product: All Industries in Major County, OK (REALGDPALL40093) from 2001 to 2023 about Major County, OK; OK; real; industry; GDP; and USA.

A common characteristic of market economies has been the way firms are continually born, failing, expanding, and contracting (Schumpeter, 1942), a process referred to as business dynamism or creative destruction. The United States became the leading market economy due to the dynamic economic expansion recorded over the last two centuries. Over this period, U.S. business dynamism has been positive, meaning that more firms are born than fail, but there has been a noticeable decline, as described by Hathaway and Lithan (2014a, p.1): The U.S. economy is in a constant state of churn. Historically one new business is born about every minute, while another one fails every eighty seconds. In 2012, there were 13.4 million private sector jobs created or destroyed each quarter—that’s equivalent to one in eight private sector jobs. Despite all of that churning, only 600 thousand net jobs were created each quarter during that same year. That’s equal to about half a percent of private employment.

Hathaway and Litan (2014c) show that U.S. declining business dynamism affects productivity and entrepreneurship, and results in consolidation of the monopoly power of older firms. Hathaway and Litan (2014b) and Hathaway et al. (2014) further show that U.S. business sector created 12 new firms per business establishment in 1978 to 6.2 in 2011. So, U.S. business dynamism has declined.

The question becomes what factors might be contributing to declining business dynamism in the United States? To address this question, this paper examines how U.S. exports and imports, the federal government deficit, and tax-exempt nonprofits may be contributing to declining U.S. business dynamism. Exports and imports are proxies for the effects of foreign competition on the U.S. economy. Intuitively, this may be used to measure the impact of globalization on the business sector. The federal government deficit is a proxy for the role of U.S. government in the economy. Tax-exempt nonprofits are included to find out if the increasing numbers of nonprofits in recent decades has encroached on the traditional activities of profit-making businesses. In other words, the federal government deficit and tax-exempt nonprofits may capture the impact of changing structure of the economy on the business sector.

This paper explores how these variables influence the level of business dynamism and is organized as follows. It explores the literature on business dynamism followed by a review to identify variables and sources of data. Then, the paper presents the model specification and test results and interpretations. In sum, we found that the government (federal government deficit) and foreign (compositions of export and import) sectors have impacted negatively on the U.S. business dynamism over the study period. The concluding remarks focus on the policy implications of the study findings.

This dataset contains detailed information on the top 100 American companies, ranked by revenue. The dataset includes key metrics such as company rank, name, industry, revenue (in USD millions), revenue growth percentage, number of employees, and headquarters location. This comprehensive dataset provides a rich resource for analyzing industry trends, financial performance, and the geographic distribution of major companies in the U.S. economy. It is ideal for market research, competitive analysis, and business strategy development.

Techsalerator’s Import/Export Trade Data for United States's $26.9 trillion economy provides a detailed and insightful collection of information on international trade activities involving companies in United States.

To obtain Techsalerator’s Import/Export Trade Data for the United States, please reach out to info@techsalerator.com with your requirements. Techsalerator will provide a customized quote based on your data needs, with delivery available within 24 hours. Ongoing access options can also be discussed.

Techsalerator's Import/Export Trade Data for the United States offers a rich and detailed collection of information crucial for businesses, investors, and trade analysts. This dataset provides a thorough examination of trade activities, documenting and classifying import and export transactions across various U.S. industries. By integrating data from customs reports, trade agreements, and shipping records, the dataset delivers a comprehensive view of the U.S. trade landscape.

Key Data Fields

Company Name: Lists companies involved in trade transactions, helping identify potential partners or competitors and track industry-specific trade patterns. Trade Volume: Details the quantity or value of goods traded, offering insights into the scale and economic impact of trade activities. Product Category: Specifies the types of goods traded, such as raw materials or consumer products, aiding in understanding market demand and supply chain dynamics. Import/Export Country: Identifies the countries of origin or destination for traded goods, providing information on regional trade relationships and market access. Transaction Date: Records the date of transactions, revealing seasonal trends and shifts in trade dynamics over time.

Top Trade Trends in the U.S.

Trade Deficit Dynamics: The U.S. continues to face a notable trade deficit, particularly with major partners like China and the European Union. Efforts are ongoing to address these imbalances through various policy measures and agreements. China-U.S. Trade Relations: The trade relationship with China remains pivotal, characterized by negotiations, tariffs, and agreements that impact global trade flows and supply chains. Shift Towards Regional Trade Agreements: There is a growing emphasis on regional agreements, such as the USMCA, which replaces NAFTA, reflecting a trend toward localized trade solutions. Growth in Technology and E-Commerce: Increased trade in technology products and a surge in e-commerce are reshaping trade patterns and logistics. Sustainability and Environmental Regulations: The U.S. is incorporating sustainability into trade policies, focusing on reducing carbon emissions and promoting green technologies. Notable Companies in U.S. Trade Data Apple Inc.: A major exporter of electronics and software, including iPhones and MacBooks, highlighting its significant role in U.S. trade. Amazon.com, Inc.: A leading e-commerce company with a substantial impact on international trade through its global sales and logistics network. Boeing Company: A key player in aerospace, exporting aircraft and components, contributing significantly to U.S. trade. Microsoft Corporation: Exporter of software, cloud services, and hardware, reflecting the importance of tech exports in the U.S. economy. ExxonMobil Corporation: A major exporter of energy products, including crude oil and refined products, impacting the energy sector of U.S. trade. Accessing Techsalerator’s Data

To obtain Techsalerator’s Import/Export Trade Data for the United States, please reach out to info@techsalerator.com with your requirements. Techsalerator will provide a customized quote based on your data needs, with delivery available within 24 hours. Ongoing access options can also be discussed.

Included Data Fields:

Company Name Trade Volume Product Category Import/Export Country Transaction Date Shipping Details Customs Codes Trade Value

For detailed insights into U.S. import and export activities and trends, Techsalerator’s dataset is an invaluable resource for staying informed and making strategic decisions.

In 2023, the United States tech sector contributed nearly *** trillion U.S. dollars to the country's overall gross domestic product (GDP), making up approximately *** percent of total GDP. Since 2018, the tech sector's yearly percentage of total GDP has remained relatively consistent.