The value of global domestic equity market increased from ***** trillion U.S. dollars in 2013 to ****** trillion U.S. dollars in 2024. The United States was by far the leading country with the largest share of total world stocks as of 2024. Global market capitalization in different regions The market capitalization of domestic companies listed varied across different regions of the world. As of Decmber 2024, the Americas region had the largest domestic equity market, totaling ** trillion U.S. dollars. This region is home to the NYSE and Nasdaq, which are the two largest stock exchange operators in the world. The market capitalization of these two exchanges alone exceeded ** billion U.S. dollars as of January 2025, larger than the total market capitalization in the Asia-Pacific, and in the EMEA regions in the same period. Largest Stock Exchanges in Latin America As of December 2024, the B3 (Brasil Bolsa Balcao) was the biggest stock exchange in Latin America in terms of market capitalization and the second-largest in terms of number of listed companies. Following the B3 were the Mexican Stock Exchange and the Santiago Stock Exchange in Chile. The most valuable company in Latin America is listed on the Mexican Stock Exchange: Fomento Económico Mexicano, a multinational beverage and retail company headquartered in Monterrey, had a market cap of *** billion U.S. dollars as of March 2025.

Global Stock Dataset

Overview

This dataset contains market data from various countries, organized into a hierarchical structure. It includes information such as share prices, trading volumes, market capitalization, and industry classifications.

Structure

The dataset is organized as follows:

• List of market data
  • Canada
  • China
  • India
  • Japan
  • Middle East
  • USA

Each country folder likely contains specific market data for companies within that region.

Data Fields

The dataset includes the following fields:

1. Share Price (CAD): The stock price in Canadian Dollars.
2. Volume: The trading volume of the stock.
3. Market Capitalization (CAD): The total market value of the company's outstanding shares in Canadian Dollars.
4. Industry: The sector or industry classification of the company.

Features

• Sorting: The data can be sorted by share price, volume, and market capitalization.
• Grid View: A 3x3 grid view is available for data visualization.
• Text Formatting: Volume and Market Capitalization data are formatted for easy reading.

Version Information

• Current Version: 1
• File Size: 1.72 MB

Usage

This dataset can be used for various purposes, including: - Market analysis - Comparative studies across different countries - Industry sector analysis - Investment research

Note

Please ensure you have the necessary permissions and comply with all relevant data usage regulations when using this dataset.

Updates

For the latest version and updates to this dataset, please check the source regularly.

Datang Intl stock price, live market quote, shares value, historical data, intraday chart, earnings per share and news.

Sapiens International stock price, live market quote, shares value, historical data, intraday chart, earnings per share and news.

United States US: Stocks Traded: Total Value data was reported at 39,785.881 USD bn in 2017. This records a decrease from the previous number of 42,071.330 USD bn for 2016. United States US: Stocks Traded: Total Value data is updated yearly, averaging 17,934.293 USD bn from Dec 1984 (Median) to 2017, with 34 observations. The data reached an all-time high of 47,245.496 USD bn in 2008 and a record low of 1,108.421 USD bn in 1984. United States US: Stocks Traded: Total Value data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s United States – Table US.World Bank.WDI: Financial Sector. The value of shares traded is the total number of shares traded, both domestic and foreign, multiplied by their respective matching prices. Figures are single counted (only one side of the transaction is considered). Companies admitted to listing and admitted to trading are included in the data. Data are end of year values converted to U.S. dollars using corresponding year-end foreign exchange rates.; ; World Federation of Exchanges database.; Sum; Stock market data were previously sourced from Standard & Poor's until they discontinued their 'Global Stock Markets Factbook' and database in April 2013. Time series have been replaced in December 2015 with data from the World Federation of Exchanges and may differ from the previous S&P definitions and methodology.

The Dow Jones Industrial Average (DJIA) index dropped around ***** points in the four weeks from February 12 to March 11, 2020, but has since recovered and peaked at ********* points as of November 24, 2024. In February 2020 - just prior to the global coronavirus (COVID-19) pandemic, the DJIA index stood at a little over ****** points. U.S. markets suffer as virus spreads The COVID-19 pandemic triggered a turbulent period for stock markets – the S&P 500 and Nasdaq Composite also recorded dramatic drops. At the start of February, some analysts remained optimistic that the outbreak would ease. However, the increased spread of the virus started to hit investor confidence, prompting a record plunge in the stock markets. The Dow dropped by more than ***** points in the week from February 21 to February 28, which was a fall of **** percent – its worst percentage loss in a week since October 2008. Stock markets offer valuable economic insights The Dow Jones Industrial Average is a stock market index that monitors the share prices of the 30 largest companies in the United States. By studying the performance of the listed companies, analysts can gauge the strength of the domestic economy. If investors are confident in a company’s future, they will buy its stocks. The uncertainty of the coronavirus sparked fears of an economic crisis, and many traders decided that investment during the pandemic was too risky.

Philip Morris International stock price, live market quote, shares value, historical data, intraday chart, earnings per share and news.

Egypt EG: Stocks Traded: Total Value data was reported at 14.429 USD bn in 2017. This records an increase from the previous number of 10.080 USD bn for 2016. Egypt EG: Stocks Traded: Total Value data is updated yearly, averaging 21.767 USD bn from Dec 2006 (Median) to 2017, with 12 observations. The data reached an all-time high of 95.827 USD bn in 2008 and a record low of 10.080 USD bn in 2016. Egypt EG: Stocks Traded: Total Value data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Egypt – Table EG.World Bank.WDI: Financial Sector. The value of shares traded is the total number of shares traded, both domestic and foreign, multiplied by their respective matching prices. Figures are single counted (only one side of the transaction is considered). Companies admitted to listing and admitted to trading are included in the data. Data are end of year values converted to U.S. dollars using corresponding year-end foreign exchange rates.; ; World Federation of Exchanges database.; Sum; Stock market data were previously sourced from Standard & Poor's until they discontinued their 'Global Stock Markets Factbook' and database in April 2013. Time series have been replaced in December 2015 with data from the World Federation of Exchanges and may differ from the previous S&P definitions and methodology.

The average for 2022 based on 75 countries was 1225.97 billion U.S. dollars. The highest value was in the USA: 40297.98 billion U.S. dollars and the lowest value was in Bermuda: 0.21 billion U.S. dollars. The indicator is available from 1975 to 2024. Below is a chart for all countries where data are available.

International Business Machines Corporation is an American multinational technology corporation headquartered in Armonk, New York, with operations in over 171 countries. Wikipedia

Data Description

The dataset provided includes information about various companies, their stock symbols, financial metrics such as price-to-book ratio and share price, as well as details about their origin countries. Additionally, the dataset contains frequency distribution information for certain ranges of price-to-book ratios and share prices.

About Data

The dataset appears to be a compilation of financial data for different companies, likely for investment analysis or comparison purposes. It includes the following key components:

• Rank: Rank of the company based on some criteria (not explicitly mentioned).
• Company: Name of the company.
• Stock Symbol: Symbol used to identify the company's stock in trading.
• Price to Book Ratio: Financial metric indicating the relationship between a company's market value and its book value.
• Share Price (USD): Price of a single share of the company's stock in US dollars.
• Company Origin: Country where the company is based.
• Label Count: Frequency distribution information for certain ranges of price-to-book ratios and share prices.

This dataset can be utilized for various financial analyses such as company valuation, comparison of financial metrics across companies, and investment decision-making.

The value of the DJIA index amounted to ****** at the end of June 2025, up from ********* at the end of March 2020. Global panic about the coronavirus epidemic caused the drop in March 2020, which was the worst drop since the collapse of Lehman Brothers in 2008. Dow Jones Industrial Average index – additional information The Dow Jones Industrial Average index is a price-weighted average of 30 of the largest American publicly traded companies on New York Stock Exchange and NASDAQ, and includes companies like Goldman Sachs, IBM and Walt Disney. This index is considered to be a barometer of the state of the American economy. DJIA index was created in 1986 by Charles Dow. Along with the NASDAQ 100 and S&P 500 indices, it is amongst the most well-known and used stock indexes in the world. The year that the 2018 financial crisis unfolded was one of the worst years of the Dow. It was also in 2008 that some of the largest ever recorded losses of the Dow Jones Index based on single-day points were registered. On September 29, 2008, for instance, the Dow had a loss of ****** points, one of the largest single-day losses of all times. The best years in the history of the index still are 1915, when the index value increased by ***** percent in one year, and 1933, year when the index registered a growth of ***** percent.

Hermes International stock price, live market quote, shares value, historical data, intraday chart, earnings per share and news.

Dataset: Leading Companies in Market Capitalization https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F14839888%2Fe7df5ac47c282cc6288f211b698233c0%2FAdd%20a%20heading%20(5).png?generation=1716157027189074&alt=media" alt="">

Introduction: This dataset provides comprehensive information on the leading companies globally by market capitalization. It includes various key metrics and identifiers for each company, facilitating detailed analysis and comparisons. This dataset is gathered from companies market capital website. below i have given the details of the dataset and columns after that i have given some information about the use cases of this dataset.

About Dataset Columns: Below is a detailed description of each column in the dataset:

1-Rank: -Description: This column shows the ranking number of the company based on its market capitalization. The rankings are in ascending order, with rank 1 representing the company with the highest market capitalization. -Data Type: Integer -Example Values: 1, 2, 3, ...

2-Company: -Description: This column displays the full name of the company. It helps identify the company being analyzed. -Data Type: String -Example Values: "Apple Inc.", "Microsoft Corporation", "Amazon.com Inc."

3-Stock Symbol: -Description: This column contains the stock symbols (ticker symbols) of the companies, which are used for trading on stock exchanges. This is essential for identifying the company's stock in financial markets. -Data Type: String -Example Values: "AAPL", "MSFT", "AMZN"

4-Market Cap (USD): -Description: This column provides the market capitalization of the company in trillion US dollars. Market capitalization is calculated as the share price times the number of outstanding shares, representing the company's total market value. -Data Type: Float (to handle large values with precision) -Example Values: 2.43, 1.87, 1.76

5-Share Price: -Description: This column contains the current share price of the respective company in US dollars. It represents the price at which a single share of the company is traded on the stock market. -Data Type: Float -Example Values: 145.09, 250.35, 3400.50

6-Company Origin: -Description: This column provides the country name where the company is headquartered. It helps in understanding the geographical distribution of the leading companies. -Data Type: String -Example Values: "United States", "China", "Germany

Use Cases of the Leading Companies in Market Capitalization Dataset

This dataset is a treasure of information for anyone interested in the financial world. Here’s how different people and professionals might use it:

1-Investors and Traders: - Stock Picking: Investors can use the dataset to identify top-performing companies by market cap. This helps them make informed decisions about where to put their money. - Comparative Analysis: Traders can compare the share prices and market caps to find potential investment opportunities and trends.

2-Financial Analysts: -Performance Tracking: Analysts can track the performance of leading companies over time, helping them to forecast future trends and provide investment recommendations. -Sector Analysis: By examining the companies and their origins, analysts can identify which sectors and countries are leading the market.

3-Business Students and Educators: -Case Studies: Students can use the dataset for case studies and projects, analyzing the financial health and market position of global giants. -Learning Tool: Educators can use the data to teach about market capitalization, stock markets, and financial metrics.

4-Economists and Researchers: -Economic Indicators: The dataset can help economists understand the economic impact of leading companies on their respective countries and the global market. -Market Dynamics: Researchers can study the market dynamics and how large companies influence economic trends.

5-Journalists and Media: -Reporting: Journalists can use the data to report on the financial health of major companies, industry trends, and economic forecasts. -Insights: Media can provide insights into the rise and fall of company rankings, helping the public stay informed about market changes.

6-Corporate Strategists: -Benchmarking: Companies can benchmark their performance against the leaders in their industry, identifying areas for improvement. -Strategic Planning: Strategists can use the data to develop long-term plans, aiming to enhance their market position.

7-General Public: -Personal Finance: Individuals interested in personal finance can use the dataset to learn more about the companies behind the brands they use daily. -Educational: For anyone curious about how global markets work, this dataset provides a straightforward way to see which companies are at the top and why.

While the global coronavirus (COVID-19) pandemic caused all major stock market indices to fall sharply in March 2020, both the extent of the decline at this time, and the shape of the subsequent recovery, have varied greatly. For example, on March 15, 2020, major European markets and traditional stocks in the United States had shed around ** percent of their value compared to January *, 2020. However, Asian markets and the NASDAQ Composite Index only shed around ** to ** percent of their value. A similar story can be seen with the post-coronavirus recovery. As of November 14, 2021 the NASDAQ composite index value was around ** percent higher than in January 2020, while most other markets were only between ** and ** percent higher. Why did the NASDAQ recover the quickest? Based in New York City, the NASDAQ is famously considered a proxy for the technology industry as many of the world’s largest technology industries choose to list there. And it just so happens that technology was the sector to perform the best during the coronavirus pandemic. Accordingly, many of the largest companies who benefitted the most from the pandemic such as Amazon, PayPal and Netflix, are listed on the NADSAQ, helping it to recover the fastest of the major stock exchanges worldwide. Which markets suffered the most? The energy sector was the worst hit by the global COVID-19 pandemic. In particular, oil companies share prices suffered large declines over 2020 as demand for oil plummeted while workers found themselves no longer needing to commute, and the tourism industry ground to a halt. In addition, overall share prices in two major stock exchanges – the London Stock Exchange (as represented by the FTSE 100 index) and Hong Kong (as represented by the Hang Seng index) – have notably recovered slower than other major exchanges. However, in both these, the underlying issue behind the slower recovery likely has more to do with political events unrelated to the coronavirus than it does with the pandemic – namely Brexit and general political unrest, respectively.

Techsalerator offers an extensive dataset of End-of-Day Pricing Data for all 63 companies listed on the Zimbabwe Stock Exchange (XZIM) in Zimbabwe. This dataset includes the closing prices of equities (stocks), bonds, and indices at the end of each trading session. End-of-day prices are vital pieces of market data that are widely used by investors, traders, and financial institutions to monitor the performance and value of these assets over time.

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Top 5 used data fields in the End-of-Day Pricing Dataset for Zimbabwe:

1. Equity Closing Price :The closing price of individual company stocks at the end of the trading day.This field provides insights into the final price at which market participants were willing to buy or sell shares of a specific company.

2. Bond Closing Price: The closing price of various fixed-income securities, including government bonds, corporate bonds, and municipal bonds. Bond investors use this field to assess the current market value of their bond holdings.

3. Index Closing Price: The closing value of market indices, such as the Botswana stock market index, at the end of the trading day. These indices track the overall market performance and direction.

4. Equity Ticker Symbol: The unique symbol used to identify individual company stocks. Ticker symbols facilitate efficient trading and data retrieval.

5. Date of Closing Price: The specific trading day for which the closing price is provided. This date is essential for historical analysis and trend monitoring.

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Top 5 financial instruments with End-of-Day Pricing Data in Zimbabwe:

Zimbabwe Stock Exchange (ZSE) Domestic Company Index: The main index that tracks the performance of domestic companies listed on the Zimbabwe Stock Exchange. This index provides an overview of the overall market performance in Zimbabwe.

Zimbabwe Stock Exchange (ZSE) Foreign Company Index: The index that tracks the performance of foreign companies listed on the Zimbabwe Stock Exchange. This index reflects the performance of international companies operating in Zimbabwe.

Company A: A prominent Zimbabwean company with diversified operations across various sectors, such as mining, energy, or banking. This company's stock is widely traded on the Zimbabwe Stock Exchange.

Company B: A leading financial institution in Zimbabwe, offering banking, insurance, or investment services. This company's stock is actively traded on the Zimbabwe Stock Exchange.

Company C: A major player in the Zimbabwean agricultural sector, involved in the production and distribution of agricultural products. This company's stock is listed and actively traded on the Zimbabwe Stock Exchange.

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If you're interested in accessing Techsalerator's End-of-Day Pricing Data for Zimbabwe, please contact info@techsalerator.com with your specific requirements. Techsalerator will provide you with a customized quote based on the number of data fields and records you need. The dataset can be delivered within 24 hours, and ongoing access options can be discussed if needed.

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Data fields included:

Equity Ticker Symbol Equity Closing Price Bond Ticker Symbol Bond Closing Price Index Ticker Symbol Index Closing Price Date of Closing Price Equity Name Equity Volume Equity High Price Equity Low Price Equity Open Price Bond Name Bond Coupon Rate Bond Maturity Index Name Index Change Index Percent Change Exchange Currency Total Market Capitalization Dividend Yield Price-to-Earnings Ratio (P/E) ‍

Q&A:

1. How much does the End-of-Day Pricing Data cost in Zimbabwe ?

The cost of this dataset may vary depending on factors such as the number of data fields, the frequency of updates, and the total records count. For precise pricing details, it is recommended to directly consult with a Techsalerator Data specialist.

1. How complete is the End-of-Day Pricing Data coverage in Zimbabwe?

Techsalerator provides comprehensive coverage of End-of-Day Pricing Data for various financial instruments, including equities, bonds, and indices. Thedataset encompasses major companies and securities traded on Zimbabwe exchanges.

1. How does Techsalerator collect this data?

Techsalerator collects End-of-Day Pricing Data from reliable sources, including stock exchanges, financial news outlets, and other market data providers. Data is carefully curated to ensure accuracy and reliability.

1. Can I select specific financial instruments or multiple countries with Techsalerator's End-of-Day Pricing Data?

Techsalerator offers the flexibility to select specific financial instruments, such as equities, bonds, or indices, depending on your needs. While the dataset focuses on Botswana, Techsalerator also provides data for other countries and international markets.

1. How do I pay for this dataset?

Techsalerator accepts various payment methods, including credit cards, direct transfers, ACH, a...

Techsalerator offers an extensive dataset of End-of-Day Pricing Data for all 93 companies listed on the Bucharest Stock Exchange* (XBSE) in Romania. This dataset includes the closing prices of equities (stocks), bonds, and indices at the end of each trading session. End-of-day prices are vital pieces of market data that are widely used by investors, traders, and financial institutions to monitor the performance and value of these assets over time.

‍

Top 5 used data fields in the End-of-Day Pricing Dataset for Romania:

1. Equity Closing Price :The closing price of individual company stocks at the end of the trading day.This field provides insights into the final price at which market participants were willing to buy or sell shares of a specific company.

2. Bond Closing Price: The closing price of various fixed-income securities, including government bonds, corporate bonds, and municipal bonds. Bond investors use this field to assess the current market value of their bond holdings.

3. Index Closing Price: The closing value of market indices, such as the Botswana stock market index, at the end of the trading day. These indices track the overall market performance and direction.

4. Equity Ticker Symbol: The unique symbol used to identify individual company stocks. Ticker symbols facilitate efficient trading and data retrieval.

5. Date of Closing Price: The specific trading day for which the closing price is provided. This date is essential for historical analysis and trend monitoring.

‍

Top 5 financial instruments with End-of-Day Pricing Data in Romania:

Bucharest Stock Exchange Domestic Company Index: The main index that tracks the performance of domestic companies listed on the Bucharest Stock Exchange. This index provides an overview of the overall market performance in Romania.

Bucharest Stock Exchange Foreign Company Index: The index that tracks the performance of foreign companies listed on the Bucharest Stock Exchange. This index reflects the performance of international companies operating in Romania.

Company A: A prominent Romanian company with diversified operations across various sectors, such as manufacturing, technology, or finance. This company's stock is widely traded on the Bucharest Stock Exchange.

Company B: A leading financial institution in Romania, offering banking, insurance, or investment services. This company's stock is actively traded on the Bucharest Stock Exchange.

Company C: A major player in the Romanian energy or consumer goods sector, involved in the production and distribution of related products. This company's stock is listed and actively traded on the Bucharest Stock Exchange.

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If you're interested in accessing Techsalerator's End-of-Day Pricing Data for Romania, please contact info@techsalerator.com with your specific requirements. Techsalerator will provide you with a customized quote based on the number of data fields and records you need. The dataset can be delivered within 24 hours, and ongoing access options can be discussed if needed.

‍

Data fields included:

Equity Ticker Symbol Equity Closing Price Bond Ticker Symbol Bond Closing Price Index Ticker Symbol Index Closing Price Date of Closing Price Equity Name Equity Volume Equity High Price Equity Low Price Equity Open Price Bond Name Bond Coupon Rate Bond Maturity Index Name Index Change Index Percent Change Exchange Currency Total Market Capitalization Dividend Yield Price-to-Earnings Ratio (P/E) ‍

Q&A:

1. How much does the End-of-Day Pricing Data cost in Romania ?

The cost of this dataset may vary depending on factors such as the number of data fields, the frequency of updates, and the total records count. For precise pricing details, it is recommended to directly consult with a Techsalerator Data specialist.

1. How complete is the End-of-Day Pricing Data coverage in Romania ?

Techsalerator provides comprehensive coverage of End-of-Day Pricing Data for various financial instruments, including equities, bonds, and indices. Thedataset encompasses major companies and securities traded on Romania exchanges.

1. How does Techsalerator collect this data?

Techsalerator collects End-of-Day Pricing Data from reliable sources, including stock exchanges, financial news outlets, and other market data providers. Data is carefully curated to ensure accuracy and reliability.

1. Can I select specific financial instruments or multiple countries with Techsalerator's End-of-Day Pricing Data?

Techsalerator offers the flexibility to select specific financial instruments, such as equities, bonds, or indices, depending on your needs. While the dataset focuses on Botswana, Techsalerator also provides data for other countries and international markets.

1. How do I pay for this dataset?

Techsalerator accepts various payment methods, including credit cards, direct transfers, ACH,...

The rolling stock market was estimated to be worth just under **** billion U.S. dollars in 2023, with Asia-Oceania accounting for the largest share. Rolling stock market in Asia-Pacific Among the largest and fastest-growing countries within the Asia-Pacific region for rolling stock are India and China, with Indian Railways and CRRC ranked as key market players for this region. Reasons contributing to expansion in countries such as India include a growing population and a considerable number of migrant workers who rely on rail as a means of commuting. Back in 2020, there were approximately *** million migrant workers in China. Driving innovation in the sector One of the world’s leading rolling stock manufacturers, CRRC, reported investments of over ** billion Chinese yuan in its research and development activity in the 2022 financial year. As the company continues to develop and manufacture innovative technologies, such as electric and hybrid rail systems, CRRC has started to address concerns about sustainability and emissions while ensuring that it maintains a technological advantage over its competitors in the global market.

In 2025, ** percent of adults in the United States invested in the stock market. This figure has remained steady over the last few years and is still below the levels before the Great Recession, when it peaked in 2007 at ** percent. What is the stock market? The stock market can be defined as a group of stock exchanges where investors can buy shares in a publicly traded company. In more recent years, it is estimated an increasing number of Americans are using neobrokers, making stock trading more accessible to investors. Other investments A significant number of people think stocks and bonds are the safest investments, while others point to real estate, gold, bonds, or a savings account. Since witnessing the significant one-day losses in the stock market during the financial crisis, many investors were turning towards these alternatives in hopes for more stability, particularly for investments with longer maturities. This could explain the decrease in this statistic since 2007. Nevertheless, some speculators enjoy chasing the short-run fluctuations, and others see value in choosing particular stocks.

Nvidia Corporation is a multinational technology company headquartered in Santa Clara, California, United States. It was incorporated in Delaware,**United States in 1993**. Nvidia Corporation went public on January 22, 1999, and its shares began trading on NASDAQ Stock Market under the ticker symbol of NVDA. NVDA shares are also included as a component on several stock market indices, namely S&P 500, S&P 100 and NASDAQ-100. On November 6, 2020, NVDA stocks reached an all-time highest stock closing price of $582.48.

In 2002, Fortune magazine recognised Nvidia Corporation as the fastest-growing company in the US. NVDA entered in another acquisition in 2003 and bought-off MediaQ Inc. in a transaction of $70 million. Stanford Graduate School of Business Alumni Association named Nvidia Corporation as the Entrepreneurial Company of the Year in 2003. Nvidia GPUs powered all Academy Award Nominees in the category of Best Visual Effects 2010, which included Star Trek and Avatar.

In 2010, it also powered the world's fastest supercomputer at the time - China's Tianhe- 1A. The company made an acquisition in 2020 and purchased Mellanox Technologies, Ltd., a leading producer of networking products at the time, for a purchase price of $7 billion. As of 2021, the company has over 50 offices worldwide, including countries like Sweden, Denmark, Israel, Czech Republic, Poland, Russia, United Arab Emirates, Germany, France, Ukraine, Finland, Switzerland, and the United Kingdom, among others.

NVDA ranked 292nd on the list of Fortune 500 companies. It ranked 489th on Forbes' list of Global 2000 2020 companies. Forbes also included Nvidia Corporation in its 2020 rankings of World's Best Employers, America's Best Employers By State, and Best Employers for Diversity.

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