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.

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.

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

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

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.

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.

GDP from Services in the United States increased to 17305.60 USD Billion in the second quarter of 2025 from 17156 USD Billion in the first quarter of 2025. This dataset provides - United States Gdp From Private Services Producing Industries- actual values, historical data, forecast, chart, statistics, economic calendar and news.

Among the service sector in the United States, the real estate, rental and leasing industry added the most value to the GDP in 2024. In that year, this industry added 4.03 trillion U.S. dollars to the national GDP. 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 cannot be used to calculate the standard of living. The annual GDP of the United States since 1990 can be accessed here.

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; ;

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.

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 Big Stone County, MN (GDPALL27011) from 2001 to 2023 about Big Stone County, MN; MN; industry; GDP; and USA.

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.

Graph and download economic data for Real Gross Domestic Product: All Industries in Big Horn County, MT (REALGDPALL30003) from 2001 to 2023 about Big Horn County, MT; MT; real; industry; GDP; and USA.

Overview This dataset contains information about the largest companies in the United States by revenue. It includes key attributes such as company name, industry, annual revenue, profit, number of employees, and the state where the company is headquartered. The dataset provides valuable insights into the financial and operational aspects of these major corporations.

Columns Rank: Ranking of the company based on its annual revenue. Name: Name of the company. Industry: Industry in which the company operates. Revenue: Annual revenue of the company in millions of dollars. Profit: Annual profit of the company in millions of dollars. Employees: Number of employees working for the company. State: State where the company’s headquarters are located. Key Insights Revenue Distribution: Significant variation in revenue among the top companies, with some generating much higher revenues. Profit Margins: Wide variation in profit margins, indicating different levels of profitability across industries. Employee Numbers: Disparity in the number of employees, reflecting differences in business models and operational scales. Geographic Spread: Companies are headquartered in various states, with certain states having a higher concentration of large companies. Potential Uses Industry Analysis: Understand trends and performance in different industries. Economic Research: Analyze the economic impact of these large companies. Business Strategy: Inform business strategies and market analysis. Educational Purposes: Use as a case study for business and economic courses. Future Work In-Depth Industry Analysis: Explore specific industries to identify trends and outliers. Time-Series Analysis: Analyze trends over time if historical data becomes available. Comparative Analysis: Compare with similar datasets from other countries. Advanced Visualization: Create interactive dashboards for better data presentation. This dataset is a valuable resource for anyone interested in the financial and operational characteristics of the largest companies in the United States.

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.

Gross Domestic Product (GDP) at basic prices, by various North American Industry Classification System (NAICS) aggregates, by Industry, volume measures, all levels of industries, (dollars x 1,000,000), annual, 5 most recent time periods.

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.

Key Table Information.Table Title.Selected Sectors: Concentration of Largest Firms for the U.S.: 2022.Table ID.ECNSIZE2022.EC2200SIZECONCEN.Survey/Program.Economic Census.Year.2022.Dataset.ECN Core Statistics Economic Census: Establishment and Firm Size Statistics for the U.S..Source.U.S. Census Bureau, 2022 Economic Census, Core Statistics.Release Date.2025-04-24.Release Schedule.The Economic Census occurs every five years, in years ending in 2 and 7.The data in this file come from the 2022 Economic Census data files released on a flow basis starting in January 2024 with First Look Statistics. Preliminary U.S. totals released in January 2024 are superseded with final data shown in the releases of later economic census statistics through March 2026.For more information about economic census planned data product releases, see 2022 Economic Census Release Schedule..Dataset Universe.The dataset universe consists of all establishments that are in operation for at least some part of 2022, are located in one of the 50 U.S. states, associated offshore areas, or the District of Columbia, have paid employees, and are classified in one of nineteen in-scope sectors defined by the 2022 North American Industry Classification System (NAICS)..Methodology.Data Items and Other Identifying Records.Number of firmsNumber of establishmentsSales, value of shipments, or revenue ($1,000)Annual payroll ($1,000)First-quarter payroll ($1,000)Number of employeesSales, value of shipments, or revenue of largest firms as percent of total sales, value of shipments, or revenue(%)Herfindahl-Hirschman Index (based on sales, value of shipments, or revenue)(%)Range indicating imputed percentage of total sales, value of shipments, or revenueRange indicating imputed percentage of total annual payrollRange indicating imputed percentage of total employeesDefinitions can be found by clicking on the column header in the table or by accessing the Economic Census Glossary..Unit(s) of Observation.The reporting units for the economic census are employer establishments. An establishment is generally a single physical location where business is conducted or where services or industrial operations are performed. A company or firm is comprised of one or more in-scope establishments that operate under the ownership or control of a single organization. For some industries, the reporting units are instead groups of all establishments in the same industry belonging to the same firm..Geography Coverage.The data are shown for the U.S. levels only. For information about economic census geographies, including changes for 2022, see Geographies..Industry Coverage.The data are shown at the 2- through 6-digit 2022 NAICS code levels for all economic census sectors except Agriculture (11) and Management of Companies and Enterprises (55). For information about NAICS, see Economic Census Code Lists..Sampling.The 2022 Economic Census sample includes all active operating establishments of multi-establishment firms and approximately 1.7 million single-establishment firms, stratified by industry and state. Establishments selected to the sample receive a questionnaire. For all data on this table, establishments not selected into the sample are represented with administrative data. For more information about the sample design, see 2022 Economic Census Methodology..Confidentiality.The Census Bureau has reviewed this data product to ensure appropriate access, use, and disclosure avoidance protection of the confidential source data (Project No. 7504609, Disclosure Review Board (DRB) approval number: CBDRB-FY23-099).To protect confidentiality, the U.S. Census Bureau suppresses cell values to minimize the risk of identifying a particular business’ data or identity.To comply with disclosure avoidance guidelines, data rows with fewer than three contributing firms or three contributing establishments are not presented. Additionally, establishment counts are suppressed when other select statistics in the same row are suppressed. More information on disclosure avoidance is available in the 2022 Economic Census Methodology..Technical Documentation/Methodology.For detailed information about the methods used to collect data and produce statistics, survey questionnaires, Primary Business Activity/NAICS codes, NAPCS codes, and more, see Economic Census Technical Documentation..Weights.No weighting applied as establishments not sampled are represented with administrative data..Table Information.FTP Download.https://www2.census.gov/programs-surveys/economic-census/data/2022/sector00/.API Information.Economic census data are housed in the Census Bureau Application Programming Interface (API)..Symbols.D - Withheld to avoid disclosing data for individual companies; data are included in higher level totalsN - Not available or not comparableS - Estimate does not meet publication standards because of high sampling variability, poor response quality, or other concerns about the estimate quality. Unp...