The average for 2023 based on 178 countries was 26.19 percent. The highest value was in Libya: 77.34 percent and the lowest value was in Lebanon: 2.09 percent. The indicator is available from 1960 to 2024. Below is a chart for all countries where data are available.

The average for 2024 based on 150 countries was 168.28 billion U.S. dollars. The highest value was in China: 6836.93 billion U.S. dollars and the lowest value was in Sao Tome and Principe: 0.02 billion U.S. dollars. The indicator is available from 1960 to 2024. Below is a chart for all countries where data are available.

Explore the World Competitiveness Ranking dataset for 2016, including key indicators such as GDP per capita, fixed telephone tariffs, and pension funding. Discover insights on social cohesion, scientific research, and digital transformation in various countries.

Social cohesion, The image abroad of your country encourages business development, Scientific articles published by origin of author, International Telecommunication Union, World Telecommunication/ICT Indicators database, Data reproduced with the kind permission of ITU, National sources, Fixed telephone tariffs, GDP (PPP) per capita, Overall, Exports of goods - growth, Pension funding is adequately addressed for the future, Companies are very good at using big data and analytics to support decision-making, Gross fixed capital formation - real growth, Economic Performance, Scientific research legislation, Percentage of GDP, Health infrastructure meets the needs of society, Estimates based on preliminary data for the most recent year., Singapore: including re-exports., Value, Laws relating to scientific research do encourage innovation, % of GDP, Gross Domestic Product (GDP), Health Infrastructure, Digital transformation in companies is generally well understood, Industrial disputes, EE, Female / male ratio, State ownership of enterprises, Total expenditure on R&D (%), Score, Colombia, Estimates for the most recent year., Percentage change, based on US$ values, Number of listed domestic companies, Tax evasion is not a threat to your economy, Scientific articles, Tax evasion, % change, Use of big data and analytics, National sources, Disposable Income, Equal opportunity, Listed domestic companies, Government budget surplus/deficit (%), Pension funding, US$ per capita at purchasing power parity, Estimates; US$ per capita at purchasing power parity, Image abroad or branding, Equal opportunity legislation in your economy encourages economic development, Number, Article counts are from a selection of journals, books, and conference proceedings in S&E from Scopus. Articles are classified by their year of publication and are assigned to a region/country/economy on the basis of the institutional address(es) listed in the article. Articles are credited on a fractional-count basis. The sum of the countries/economies may not add to the world total because of rounding. Some publications have incomplete address information for coauthored publications in the Scopus database. The unassigned category count is the sum of fractional counts for publications that cannot be assigned to a country or economy. Hong Kong: research output items by the higher education institutions funded by the University Grants Committee only., State ownership of enterprises is not a threat to business activities, Protectionism does not impair the conduct of your business, Digital transformation in companies, Total final energy consumption per capita, Social cohesion is high, Rank, MTOE per capita, Percentage change, based on constant prices, US$ billions, National sources, World Trade Organization Statistics database, Rank, Score, Value, World Rankings

Argentina, Australia, Austria, Belgium, Brazil, Bulgaria, Canada, Chile, China, Colombia, Croatia, Cyprus, Denmark, Estonia, Finland, France, Germany, Greece, Hungary, Iceland, India, Indonesia, Ireland, Israel, Italy, Japan, Jordan, Kazakhstan, Latvia, Lithuania, Luxembourg, Malaysia, Mexico, Mongolia, Netherlands, New Zealand, Norway, Oman, Peru, Philippines, Poland, Portugal, Qatar, Romania, Russia, Saudi Arabia, Singapore, Slovenia, South Africa, Spain, Sweden, Switzerland, Thailand, Turkey, Ukraine, United Kingdom, Venezuela

Follow data.kapsarc.org for timely data to advance energy economics research.

With a market capitalization of 3.12 trillion U.S. dollars as of May 2024, Microsoft was the world’s largest company that year. Rounding out the top five were some of the world’s most recognizable brands: Apple, NVIDIA, Google’s parent company Alphabet, and Amazon. Saudi Aramco led the ranking of the world's most profitable companies in 2023, with a pre-tax income of nearly 250 billion U.S. dollars. How are market value and market capitalization determined? Market value and market capitalization are two terms frequently used – and confused - when discussing the profitability and viability of companies. Strictly speaking, market capitalization (or market cap) is the worth of a company based on the total value of all their shares; an important metric when determining the comparative value of companies for trading opportunities. Accordingly, many stock exchanges such as the New York or London Stock Exchange release market capitalization data on their listed companies. On the other hand, market value technically refers to what a company is worth in a much broader context. It is determined by multiple factors, including profitability, corporate debt, and the market environment as a whole. In this sense it aims to estimate the overall value of a company, with share price only being one element. Market value is therefore useful for determining whether a company’s shares are over- or undervalued, and in arriving at a price if the company is to be sold. Such valuations are generally made on a case-by-case basis though, and not regularly reported. For this reason, market capitalization is often reported as market value. What are the top companies in the world? The answer to this question depends on the metric used. Although the largest company by market capitalization, Microsoft's global revenue did not manage to crack the top 20 companies. Rather, American multinational retailer Walmart was ranked as the largest company in the world by revenue. Walmart also had the highest number of employees in the world.

Between 2019 and 2023, oil and gas explorers and producers logged the highest total revenue worldwide, reaching *** trillion U.S. dollars. Life and health insurance carriers followed behind.

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.

Continuously updated global ranking of the world’s largest publicly traded technology companies by market capitalization (USD) as displayed on Capital.com. The table lists each company’s rank, market cap in USD, latest share price and primary listing country; rankings reflect reported market caps as of the stated date and are updated over time.

Data Overview:

The dataset encompasses 700 the world's best employers across various sectors, such as retail, IT and etc. Each observation represents the employer's (company / institution) name, industry, country / territory, and number of employees. Columns:

Rank (Ordinal): ranking of the employer Company (categorical): name of the employer Industries (categorical): industry sector of the employer Country_territory (categorical): country of company Employees (numerical): number of employees Useful Tips:

Dynamic Trend Analysis: through potential data joining with existing dataset (e.g. https://www.kaggle.com/datasets/yasirhameed/forbes-world-best-employers-2022) Correlation between size of company and ranking Composition of recognised employers among countries / industries Exploration Potential: consider exploring the companies both appeared in this ranking and Forbes The Global 2000 (https://www.kaggle.com/datasets/kwongmeiki/forbes-the-global-2000-rankings-2023) which indicates financial success, noting that both datasets are in more or less the same time frame of research.

In 2024, Microsoft generated approximately, **** billion U.S. dollars in revenue, making it the largest IT services company in the world in terms of revenue. Other major firms in the IT services market include Alphabet Inc., with revenues of over **** billion U.S. dollars, followed by AWS and Meta. IT services market A key sub-sector of the larger information technology industry is the IT services market. This sub-sector brings in hundreds of millions of dollars each year, with forecasts suggesting that this number will reach 1.42 trillion U.S. dollars in spending in 2023 after eclipsing the one trillion dollar mark in 2019. Digitalization, along with constant technological advancement, means that businesses in nearly every industry rely on IT services which results in continuous market spending. What are IT services products? The term IT services refers to a large amount of services and solutions used by businesses to assess, manage, and deliver information. These services include cloud computing, database management, as well as hardware deployment and support. Notably, these IT solutions assist in a vast array of business functions and thereby empower companies to stay agile and adaptive in a quickly changing environment.

Explore the Times Higher Education World University Rankings 2026 below. Trusted worldwide by students, academics, governments and industry experts, the list of the best universities in the world includes 2,191 institutions from 115 countries and territories.

With over *** billion U.S. dollars in revenue, Walmart topped the ranking of the hundred largest companies globally, followed by Amazon. Walmart was also the largest company in the world based on its number of employees, with some *** million all over the world. Largest corporations based on revenue - additional information The concept of revenue itself might slightly differ depending on country or even from one company to another. It usually refers to the income resulted from normal business activities, such as the sale of goods and services to customers. Walmart The American-based multinational corporation Walmart was founded in 1962 and currently operates over ****** stores worldwide, out of which ***** are in the United States alone. In 2024, Walmart was ranked the third most valuable retail brand in the world, with a brand value of about ** billion U.S. dollars. Follow this link to get access to the top 500 companies from all industries list.

The average for 2023 based on 47 countries was 33258 thousand metric tons. The highest value was in Australia: 589030 thousand metric tons and the lowest value was in Uruguay: 1 thousand metric tons. The indicator is available from 1999 to 2023. Below is a chart for all countries where data are available.

In 2023, South Korea's logistics industry was ranked **** in the world by the World Bank's Logistics Performance Index (LPI). This was the first time the country ranked among the top twenty countries of the LPI.

The average for 2023 based on 60 countries was 425 metric tons. The highest value was in Mexico: 6289 metric tons and the lowest value was in Algeria: 0 metric tons. The indicator is available from 2002 to 2023. Below is a chart for all countries where data are available.

In 2018 Russia held the first place in global sugar beet production and the second place in natural and associated gas production. In addition, the country ranked third in the world production of crude oil, which was one level lower compared to the previous year's.

Data Source: - Article Title: The Global 2000 - Organisation: Forbes - Authors: Andrea Murphy and Hank Tucker - Original Data Updated on June 08, 2023 - Retrieved from https://www.forbes.com/lists/global2000/?sh=60bb65b85ac0

Web Scraping: - Using the robotstxt package in R studio

Data Overview: - The dataset comprises information on 2000 of the world's largest companies, along with several key determinants of their large-scale operations, including sales, profit, assets, and market values. - Data Cleaning: To ensure uniformity, numerical variables were standardized to million USD dollars.

Row: - 2000 Observations: Data related to the world's largest companies and their financial status across the globe.

Columns: - Rank (Ordinal): The company's ranking in the Forbes Global 2000 list. - Company (Categorical): The name of the company. - Country (Categorical): The country where the company is headquartered. - Sales (Numerical): Annual sales revenue of the company (in million USD). - Profit (Numerical): Annual profit of the company (in million USD). - Asset (Numerical): Total assets of the company (in million USD). - Market Value (Numerical): Market capitalization of the company (in million USD). - Publish Year (Ordinal): 2023 (for potential dataset integration).

Useful Tips - Dynamic Trend Analysis: Consider exploring the dynamic trends of the global market by combining this dataset with historical data spanning various decades, such as this set of available datasets(https://www.kaggle.com/datasets/joebeachcapital/forbes-global-2000). This can offer valuable insights into how the world's largest companies have evolved over time.

Continuously updated global ranking of the world’s largest publicly traded companies by market capitalization (USD) as displayed on Capital.com. The table lists each company’s rank, market cap in USD, latest share price and primary listing country; rankings reflect reported market caps as of the stated date and are updated over time.

The average for 2023 based on 47 countries was 257 metric tons. The highest value was in China: 4060 metric tons and the lowest value was in South Korea: 1 metric tons. The indicator is available from 2003 to 2023. Below is a chart for all countries where data are available.

Indonesia Coffee Production was up 6% in 2019, compared to a year earlier.

Top 50 Companies by Revenue (USD Millions)

Description : This dataset contains information on the largest companies in the world ranked by their revenue in USD millions. It includes key financial metrics and details about each company, making it a valuable resource for analysis and comparison.

This list comprises the world's largest companies by consolidated revenue, according to the Fortune Global 500 2024 rankings and other sources. American retail corporation Walmart has been the world's largest company by revenue since 2014. The list is limited to the largest 50 companies, all of which have annual revenues exceeding US$130 billion. This list is incomplete, as not all companies disclose their information to the media or general public. Out of 50 largest companies 23 are American, 17 Asian and 10 European.

Features :

• Rank: The rank of the company based on its revenue.
• Company_Name: The name of the company.
• Industry: The industry in which the company operates.
• Revenue (USD Millions): The total revenue of the company in millions of USD.
• Profit (USD Millions): The total profit of the company in millions of USD.
• Number of Employees: The total number of employees working for the company.
• Headquarters: The country where the company's headquarters is located.

Source : The data has been sourced from the Wikipedia page on List of Largest Companies by Revenue.

Usage : This dataset can be used for various analyses, including : - Financial performance comparisons across industries. - Visualization of the largest global companies. - Insights into employment statistics in relation to revenue.

Beginner-Friendly : This dataset is suitable for beginners looking to practice data analysis, data visualization, and financial comparisons. It provides a straightforward structure with easily understandable features, making it an excellent starting point for those new to data science.