As of January 2025, the most profitable industry in the United States was the tobacco industry, with a net profit margin of ***** percent. The profit margin of the entertainment software industry was not too far behind, with a net profit margin of *****.

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.

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.

In the wake of COVID-19 and associated lockdowns, businesses in the finance and insurance industry saw a ** percent increase in revenues when comparing the revenues generated between ********** to ********** with revenues generated between ********** to **********. Industries that saw the greatest loss in revenue during this time period can be found here.

US Industry Data by State, by Industry

Number of Establishments, Sales, Payroll, and Employees

By Gary Hoover [source]

About this dataset

This data set provides a detailed look into the US economy. It includes information on establishments and nonemployer businesses, as well as sales revenue, payrolls, and the number of employees. Gleaned from the Economic Census done every five years, this data is a valuable resource to anyone curious about where the nation was economically at the time. With columns including geographic area name, North American Industry Classification System (NAICS) codes for industries, descriptions of those codes meaning of operation or tax status, and annual payroll, this information-rich dataset contains all you need to track economic trends over time. Whether you’re a researcher studying industry patterns or an entrepreneur looking for market insight — this dataset has what you’re looking for!

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How to use the dataset

This dataset provides detailed US industry data by state, including the number of establishments, value of sales, payroll, and number of employees. All the data is based on the North American Industry Classification System (NAICS) code for each specific industry. This will allow you to easily analyze and compare industries across different states or regions.

Research Ideas

• Analyzing the economic impact of a new business or industry trends in different states: Comparing the change in the number of establishments, payroll, and employees over time can give insight into how a state is affected by a new industry trend or introduction of a new service or product.
• Estimating customer sales potential for businesses: This dataset can be used to estimate the potential customer base for businesses in different geographic areas. By analyzing total business done by non-employers in an area along with its estimated population can help estimate how much overall sales potential exists for a given region.
• Tracking competitor performance: By looking at shipments, receipts, and value of business done across industries in different regions or even cities, companies can track their competitors’ performance and compare it to their own to better assess their strategies going forward

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: 2012 Industry Data by Industry and State.csv | Column name | Description | |:----------------------------------------------------------------------------------------|:----------------------------------------------------------------------------------------------------------------------------------------------------------| | Geographic area name | The name of the geographic area the data is for. (String) | | NAICS code | The North American Industry Classification System (NAICS) code for the industry. (String) | | Meaning of NAICS code | The description of the NAICS code. (String) | | Meaning of Type of operation or tax status code | The description of the type of operation or tax status code. (String) ...

This statistic shows the top ten industries of high-growth companies in the United States as of 2016. In 2016, about **** percent of U.S.-based high-growth companies were specialized in information technology services.

Content

Top Companies of NASDAQ 100 in 2022

Here are the top companies on the NASDAQ 100 index in 2022. NASDAQ 100 is one of the most prominent large-cap growth indices in the world.

Many companies listed in the NASDAQ 100 operate in the tech sector. That is why many investors who are focused investing in tech stocks also invest in NASDAQ index to grow their funds

What is NASDAQ 100?

NASDAQ 100 is a stock market index composed of the 100 largest and most actively traded companies in the United States of America in the non- financial sector and are segmented under technology, retail, industrial, biotechnology, health care, telecom, transportation, media and services sectors.

Acknowledgement

Data collected from Yahoo Finance.

Graph and download economic data for Value Traded of Top 10 Traded Companies to Total Value Traded for United States (DDAM01USA156NWDB) from 1998 to 2016 about market cap, companies, stock market, and USA.

This dataset contains important financial information and accounting ratios of the top 200 US Companies. Source of data in Yfiannce

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.

Number of Businesses statistics on the Major Smart Appliance Manufacturing industry in the US

The contract manufacturing industry is vital to countless businesses, providing the agility, expertise, and scalability that modern manufacturing demands. In an era where efficiency and specialization are critical, contract manufacturers enable companies to bring their products to market faster and often at a lower cost. This article will take an in-depth look at the key facts and trends surrounding this essential sector, explore some top contract manufacturers and provide expert guidance on choosing a contract manufacturer for your business.

Graph and download economic data for Number of Private Establishments for All Industries in Major County, OK (ENU4009320510) from Q1 1990 to Q1 2025 about Major County, OK; OK; establishments; private industries; private; industry; and USA.

Release Date: 2016-09-23..Table Name. . Statistics for U.S. Employer Firms That Were Jointly Owned and Operated by Spouses by Sector, Gender, Ethnicity, Race, Veteran Status, and Years in Business for the U.S., States, and Top 50 MSAs: 2014. ..Release Schedule. . This file was released in September 2016.. ..Key Table Information. . These data are related to all other 2014 ASE files.. Refer to the Methodology section of the Annual Survey of Entrepreneurs website for additional information.. ..Universe. . The universe for the 2014 Annual Survey of Entrepreneurs (ASE) includes all U.S. firms with paid employees operating during 2014 with receipts of $1,000 or more which are classified in the North American Industry Classification System (NAICS) sectors 11 through 99, except for NAICS 111, 112, 482, 491, 521, 525, 813, 814, and 92 which are not covered. Firms with more than one domestic establishment are counted in each geographic area and industry in which they operate, but only once in the U.S. total.. In this file, "respondent firms" refers to all firms that reported gender, ethnicity, race, or veteran status for at least one owner or returned a survey form with at least one item completed and were publicly held or not classifiable by gender, ethnicity, race, and veteran status.. ..Geographic Coverage. . The data are shown for:. . United States. States and the District of Columbia. The top fifty most populous metropolitan areas. . ..Industry Coverage. . The data are shown for the total of all sectors (00) and the 2-digit NAICS code level.. ..Data Items and Other Identifying Records. . Statistics for U.S. Employer Firms That Were Jointly Owned and Operated by Spouses by Sector, Gender, Ethnicity, Race, Veteran Status, and Years in Business for the U.S., States, and Top 50 MSAs: 2014 contains data on:. . Number of firms with paid employees. Sales and receipts for firms with paid employees. Number of employees for firms with paid employees. Annual payroll for firms with paid employees. Percent of respondent firms with paid employees. Percent of sales and receipts of respondent firms with paid employees. Percent of number of employees of respondent firms with paid employees. Percent of annual payroll of respondent firms with paid employees. . The data are shown for:. . Gender, ethnicity, race and veteran status of respondent firms. . All firms. Female-owned. Male-owned. Equally male-/female-owned. Hispanic. Equally Hispanic/non-Hispanic. Non-Hispanic. White. Black or African American. American Indian and Alaska Native. Asian. Native Hawaiian and Other Pacific Islander. Some other race. Minority. Equally minority/nonminority. Nonminority. Veteran-owned. Equally veteran-/nonveteran-owned. Nonveteran-owned. All firms classifiable by gender, ethnicity, race, and veteran status. Publicly held and other firms not classifiable by gender, ethnicity, race, and veteran status. . . Years in business. . All firms. Firms less than 2 years in business. Firms with 2 to 3 years in business. Firms with 4 to 5 years in business. Firms with 6 to 10 years in business. Firms with 11 to 15 years in business. Firms with 16 or more years in business. . . Whether the business was jointly-owned or operated by spouses in 2014. . All firms. Jointly owned and equally operated by spouses. Jointly owned but primarily operated by male spouse. Jointly owned but primarily operated by female spouse. Not jointly owned by spouses. Total reporting. Item not reported. Not applicable. . . . ..Sort Order. . Data are presented in ascending levels by:. . Geography (GEO_ID). NAICS code (NAICS2012). Gender, ethnicity, race, and veteran status (ASECB). Years in business (YIBSZFI). Whether the business was jointly-owned or operated by spouses in 2014 (SPOUSES). . The data are sorted on underlying control field values, so control fields may not appear in alphabetical order.. ..FTP Download. . Download the entire SE1400CSCB03 table at: https://www2.census.gov/programs-surveys/ase/data/2014/SE1400CSCB03.zip. ..Contact Information. . To contact the Annual Survey of Entrepreneurs staff:. . Visit the website at https://www.census.gov/programs-surveys/ase.html.. Email general, nonsecure, and unencrypted messages to ewd.annual.survey.of.entrepre...

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.

In 2023, the mining industry added around 1.65 billion chained 2017 U.S. dollars of value to the state gross domestic product in Virginia. The professional and business services industry added the greatest value, with 136.16 billion U.S. dollars being added to the state's GDP during the same year.

In this dataset i have provided daily stock market data of top 900+ companies on the basis of valuation. which contains valuable feature like high price of the stock on a specific date, low price, close price, volume traded, opening price of stock on a particular date, is any stock splitting happened if yes then in which ratio and the dividend announce by the company. This data is good for analysis of the finding hidden stock pattern, finding a strategy for investing in the market.

Columns of the dataset

Date - Date of the trading day

Open - Opening price of the stock on that particular date

High - High price of the stock on that particular date

Low - Low price of the stock on that particular date

Close - Closing price of the stock on that particular date

Volume - Volume traded on that trading day

Dividends - Dividend provided by the company on particular trading day

Stock splitting - Stocks splitting done by the company on a particular trading day

What you can do with this dataset -

• You can analyze the trends
• You can make strategy based on the hidden pattern
• You can make a stock price prediction model
• You can apply your own made trading strategy
• You can apply different different indicators on the data and can check your strategy

Graph and download economic data for Real Gross Domestic Product: All Industries in Barren County, KY (REALGDPALL21009) from 2001 to 2023 about Barren County, KY; KY; real; industry; GDP; and USA.

Continued Claims for UI released by the CT Department of Labor. Continued Claims are total number of individuals being paid benefits in any particular week. Claims data can be access directly from CT DOL here: https://www1.ctdol.state.ct.us/lmi/claimsdata.asp

Claims are disaggregated by age, education, industry, race/national origin, sex, and wages.

The claim counts in this dataset may not match claim counts from other sources.

Unemployment claims tabulated in this dataset represent only one component of the unemployed. Claims do not account for those not covered under the Unemployment system (e.g. federal workers, railroad workers or religious workers) or the unemployed self-employed.

Claims filed for a particular week will change as time goes on and the backlog is addressed.

For data on continued claims at the town level, see the dataset "Continued Claims for Unemployment Benefits by Town" here: https://data.ct.gov/Government/Continued-Claims-for-Unemployment-Benefits-by-Town/r83t-9bjm

For data on initial claims see the following two datasets:

"Initial Claims for Unemployment Benefits in Connecticut," https://data.ct.gov/Government/Initial-Claims-for-Unemployment-Benefits/j3yj-ek9y

"Initial Claims for Unemployment Benefits by Town," https://data.ct.gov/Government/Initial-Claims-for-Unemployment-Benefits-by-Town/twvc-s7wy

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.