In 2019, Sprint Corporation had approximately ****** employees. The company has experienced a relative decrease in number of employees since 2011’s peak of around ****** people.

Sprint – Mergers and Acquisitions

Over the years, Sprint has struggled with a decline in revenue and several failed acquisitions, including a 2005 procurement of Nextel Communications that proved to be unprofitable. In 2013, Sprint was acquired by Japanese telecom group SoftBank Corporation, and there were several rounds of layoffs during the ensuing restructuring processes. At several points since then, T-Mobile and Sprint have initiated talks of a merger in order to better compete with larger rivals Verizon and AT&T; in late July 2019, the U.S. Justice Department officially approved the merger between the two companies. The effect of the acquisition by T-Mobile on Sprint’s workforce is unclear at this point.

Sprint’s place in the US telecom market

Sprint is headquartered in Kansas and offers wireless and wireline services to subscribers throughout the United States. In the U.S. wireless telecommunications market Sprint currently ranks behind Verizon, AT&T, and T-Mobile in terms of wireless telecom revenue. Sprint currently holds a share of around ** to ** percent of the total 400 million cellular subscriptions in the United States, behind both AT&T and Verizon. These two major players account for around a third of the market each.

Introduction of Dataset: In this dataset, I have gathered data on the top global companies by the number of employees they have. The dataset consists of 6 columns:

1.Rank: This column indicates the rank of the company. 2. Company: Here, I have provided the name of the company. 3. Stock Symbol: This column contains the stock symbol of each company. 4. Number of Employees: Here, I have provided the number of employees for each company. 5. Share Price: This column includes the share price of each company. 6. Company Origin: In this column, I have provided the name of the country where the company is based.

Use Cases: Here are some potential use cases for the dataset on top global companies by the number of employees:

Market Analysis: Analysts can use this dataset to study trends in the number of employees across different industries and countries. This can provide insights into economic growth, industry competitiveness, and labor market dynamics.

Investment Decision Making: Investors can use the data to compare companies based on their number of employees, share price, and other factors. This can help them make informed decisions about which companies to invest in based on their growth potential and market position.

HR Benchmarking: Human resources departments can benchmark their company's employee count against those of top global companies to assess their competitiveness in the job market and identify areas for improvement in recruitment and retention strategies.

Country Comparison: Researchers and policymakers can use the dataset to compare the size and composition of the workforce across different countries, helping them understand global labor market dynamics and identify potential areas for policy intervention.

Supply Chain Management: Companies can use the dataset to evaluate the size and capabilities of potential partners or suppliers based on their workforce size and geographic location.

Competitive Analysis: Businesses can use the data to benchmark themselves against their competitors in terms of employee count, market presence, and other metrics to identify opportunities for growth and areas where they may need to improve their competitive position.

Predictive Modeling: Data scientists can use the dataset to build predictive models that forecast future employment trends within specific industries or regions, helping businesses and policymakers anticipate changes in labor market dynamics and adjust their strategies accordingly.

Academic Research: Researchers in economics, sociology, and other fields can use the dataset to study various aspects of corporate behavior, labor markets, and globalization.

Largest software companies by market cap

What is the market capitalization of a company? The market capitalization sometimes referred as Marketcap, is the value of a publicly listed company. In most cases it can be easily calculated by multiplying the share price with the amount of outstanding shares.

Data from: https://companiesmarketcap.com/

This statistic shows the 2020 ranking of the leading forestry and paper companies in the United States based on the number of employees. At that time, International Paper was the United States' largest forestry and paper company based on employee numbers, with some ****** employees.

Toei Company, Ltd. employed ***** people as of fiscal year 2024, up from ***** employees in the previous year. The Japanese movie company is one of Japan's "Big Four" film studios and the main shareholder of the animation studio Toei Animation Co., Ltd.

Explore this rich dataset featuring detailed information on a diverse range of companies. This collection includes key metrics such as company names, ratings, number of employees, company type (public or private), and the number of reviews. Whether you're an analyst, researcher, or data enthusiast, this dataset offers a unique opportunity to delve into the intricacies of various businesses and gain valuable insights.

Key Features: 1. Company Names: Easily identify and compare a wide array of companies across different industries. 2. Ratings: Gain an understanding of how companies are perceived by users, customers, or employees with detailed rating information. 3. Employee Count: Explore the workforce size of each company, providing insights into the scale and operations of different organizations. 4. Company Type: Distinguish between public and private companies, shedding light on their organizational structures and financial structures. 5. Number of Reviews: Evaluate the popularity and engagement levels of companies through the number of reviews they have received.

Potential Applications: 1. Market Research: Analyze trends and patterns within industries based on company ratings, size, and type. 2. Employee Satisfaction Studies: Investigate the correlation between company ratings and employee count to understand workforce dynamics. 3. Competitive Analysis: Compare companies within the same industry to identify leaders and areas for improvement.

Note: This dataset is a valuable resource for anyone interested in gaining a deeper understanding of the corporate landscape. Your contributions to this dataset can further enrich the knowledge base for the wider data science community. Share your findings, visualizations, and analyses on Kaggle to foster collaboration and insights among data enthusiasts worldwide.

In 2025, large businesses in the United Kingdom that individually employed 1,000 or more workers collectively employed around 8.3 million people.

In 2020, IBM employed ******* workers, far more than the other major software companies. Apart from its software businesses, IBM is also a major IT service company, which explains partly its large employee base. Microsoft and Oracle are similar in terms of headcount, with ******* and ******* employees respectively.

The Statistics of U.S. Businesses (SUSB) provides detailed annual data for all U.S. business establishments with paid employees by geography, industry, and enterprise size. This program covers all NAICS industries except crop and animal production; rail transportation; National Postal Service; pension, health, welfare, and vacation funds; trusts, estates, and agency accounts; private households; and public administration. The SUSB also excludes most government employees. Further, SUSB data for years 1988-1997 were tabulated based on the Standard Industrial Classification (SIC) system. The SUSB features several arts-related NAICS industries, including the following: Arts, entertainment, and recreation (NAICS Code 71) Performing arts companies Spectator sports Promoters of performing arts, sports, and similar events Independent artists, writers, and performers Museums, historical sites, and similar institutions Amusement parks and arcades Professional, scientific, and technical services (NAICS Code 54) Architectural services Graphic Design Services Landscape architectural services Photographic services Retail trade (NAICS Code 44-45) Sporting goods, hobby, and musical instrument stores Sewing, needlework, and piece goods stores Book stores Art dealers Also, the SUSB features several arts related SIC industries, including the following: Commercial photography (SIC Code 7335) Commercial art and graphic design (SIC Code 7336) Museums and art galleries (SIC Code 8412) Dance studios, schools, and halls (SIC Code 7911) Theatrical producers and services (SIC Code 7922) Sports clubs, managers, & promoters (SIC Code 7941) Motion Picture Production & Services (SIC Code 7810) Data compiled for the SUSB are extracted from the Business Register (BR). The BR contains continuously updated data from the Census Bureau's economic censuses and currently business surveys, quarterly and annual Federal tax records and other department and federal statistics. SUSB data are available approximately 24 months after each reference year and are available for the United States, each state, and Metropolitan Statistical Areas (MSA). The annual SUSB consist of number of firms, number of establishments, annual payroll, and employment during the week of March 12. In addition, estimated receipts data are included for years ending in 2 and 7. Dynamic data, which are created from the Business Information Tracking Series (BITS), consist of the number of establishments and corresponding employment change for births, deaths, expansions, and contractions. The SUSB is important because it provides the only source of annual, complete, and consistent enterprise-level data for U.S. businesses, with industry detail. Private businesses use the data for market research, strategic business planning, and managing sales territories. State and local governments, as well as, budget, economic development, and planning offices use the data to assess business changes, develop fiscal policies, and plan future policies and programs. In addition, the data are the standard reference source for small business statistics. Users can view the latest SUSB annual data and employment change data on the main SUSB page. For more detailed industry and employment size classes, users can download additional data in comma-delimited format. Annual data are tabulated back to 1988 and employment change data back to 1989-1990. Data users can find news and updates about the SUSB data via the News & Updates section.

Analyzing an Employees Report with the provided data on employee numbers, monthly salary, performance appraisal rates, departmental distribution, geographical distribution, trends in employee numbers over the years, employee satisfaction, and gender distribution can yield valuable insights for informed decision-making and strategic planning. Here's a breakdown of the analysis:

Employee Numbers:

The total number of employees in the company is a key metric for assessing the organization's size and growth potential. Analyze historical data on employee numbers over the years to identify trends. Is the workforce expanding, contracting, or remaining stable? Monthly Salary:

Examine the distribution of monthly salaries to understand compensation structures within the organization. Calculate key statistics such as median and quartiles to assess salary equity. Identify any outliers in salary data, which may require further investigation. Performance Appraisal:

Calculate the average performance appraisal rate to gauge overall employee performance. Break down performance ratings by department to identify areas of excellence and potential improvement. Departmental Distribution:

Determine the number of employees in each department to assess departmental size and potential resource allocation. Analyze turnover rates by department to identify areas with high attrition. Geographical Distribution:

Examine the geographical origin of employees, including their area and country of residence. Identify locations with a high concentration of employees, which may have implications for office space, remote work policies, or recruitment strategies. Trends in Employee Numbers Over the Years:

Visualize the trend in employee numbers over the years using line charts or graphs. Look for patterns, such as seasonal fluctuations or long-term growth trends. Employee Satisfaction:

Analyze employee satisfaction survey results to assess the overall satisfaction level of employees. Identify areas where employees are particularly satisfied or dissatisfied and consider action plans. Gender Distribution:

Calculate the percentage of male and female employees to understand gender diversity. Assess whether there are any significant gender imbalances in specific departments or roles. To facilitate data cleaning and filtering for enhanced decision-making:

Data Cleaning: Ensure data integrity by addressing missing values, outliers, and inconsistencies in the dataset. This will result in more accurate and reliable analyses.

Filtering Options: Provide filters and interactive dashboards in the report to allow users to explore data based on various criteria such as department, performance rating, salary range, location, and gender. This empowers stakeholders to tailor the analysis to their specific needs.

Decision-Making Insights: Summarize key findings and insights from the analysis to assist decision-makers in identifying areas for improvement, resource allocation, and strategic planning.

Graph and download economic data for Number of Employees in Company, Per Cent Reporting More Employees for United States (M08312USM156NNBR) from May 1950 to Dec 1960 about companies, employment, and USA.

This dataset shows the evolution of employee numbers in business establishments in Qatar by sex, including growth values and rates.

Global Number of Employees in Business Services by Country, 2023 Discover more data with ReportLinker!

In fiscal year 2025, the total number of employees at Tesla was 125,665. The employee count decreasedby 14,808 from 140,473 (in 2024) to 125,665 (in 2025). It represents a -10.54% year-over-year decline in employee count.

Meta Platforms had ****** full-time employees as of December 2024, down from ****** people in 2023. As of December 2023, more than ******* employees at tech companies worldwide were laid off throughout the year across more than 1,000 companies. Facebook: how it all began In 2003, a sophomore at named Mark Zuckerberg hacked into protected areas of the university's computer network in order to find photos of other students. He then would pair two of them next to each other on a program called “Facemash” and ask users to choose the more attractive person. At the beginning of 2004, Zuckerberg launched “The Facebook,” a social network dedicated to Harvard students, which later grew to encompass Columbia, Yale and Stanford. The popularity of this new service sky-rocketed and in mid-2004, Zuckerberg interrupted his studies and moved his operation to Palo Alto, California, in the heart of Silicon Valley. By 2006, Facebook was open to the general public. In 2020, the company reported almost ** billion U.S. dollars in revenue and a net income of ***** billion US dollars. It is also the most popular social network in the world, with *** billion monthly active users as of December 2020. Facebook employee diversity criticism Like many other tech companies, Facebook has been criticized for having a diversity problem. As of June 2020, tech positions, as well as management roles in U.S. offices were overwhelmingly occupied by men. Furthermore, almost ** percent of Facebook employees in the U.S. are White and only *** percent are African-American, which has sparked concern regarding representation and equal opportunities. Around **** percent of senior level positions are occupied by White employees and only *** percent by Hispanic-Americans.

Business demography statistics provide an annual snapshot (at February) of the structure and characteristics of New Zealand businesses. The series covers economically significant enterprises that are engaged in producing goods and services in New Zealand.

In fiscal year 2025, the total number of employees at Union Pacific Corporation was 32,439. The employee count decreasedby 534 from 32,973 (in 2024) to 32,439 (in 2025). It represents a -1.62% year-over-year decline in employee count.

In fiscal year 2025, the total number of employees at T-Mobile US was 70,000. The employee count increasedby 3,000 from 67,000 (in 2024) to 70,000 (in 2025). It represents a 4.48% year-over-year growth in employee count.

This dataset presents the total number of employees categorized by business type: electricity, water, and corporate services. It provides insight into human resource distribution across key operational sectors.

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.