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Employee Counts and Stock Prices
Stock & Market Data
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About
Ranks global companies based on their reported employee counts, linking workforce size directly to market metrics like stock price and geographic origin. This product is designed to provide quick access to key corporate statistics for large employers worldwide. The original context suggests a focus on entities employing at least 500 workers, although the data captures a wider range of company sizes.
Columns
- Rank: The numerical position of the company in the ranking order.
- Name: The established designation of the corporate entity.
- Symbol: The unique ticker symbol used for trading the company’s stock.
- employees_count: The numerical total of the company’s labour force.
- price (USD): The associated market price of the company’s stock, denominated in US Dollars.
- country: The primary nation of operation or headquarters location.
Distribution
The data is available in a standard tabular format, typically supplied as a CSV file. The structure includes 6 distinct columns and 6,277 validated records. The total size of the file is approximately 369.8 kB. The dataset is static, with no anticipated future updates.
Usage
This dataset is ideal for detailed analysis of the relationship between corporate employment figures and financial performance indicators. It can be used for training machine learning models (including LSTM) focused on predicting market attributes or classifying corporate size. It also supports geographic analysis concerning the distribution of large employers globally.
Coverage
The data covers 6,277 companies drawn from 68 unique countries. The United States accounts for the majority of the entries (52%), with India being the second most represented country (9%). While criteria for classification often target firms with over 500 employees, the recorded minimum employee count in the included entries is 102.
License
CC0: Public Domain
Who Can Use It
- Economists and Researchers: For studying labour market concentrations and linking employee counts to economic metrics.
- Financial Analysts: To incorporate workforce size as an attribute in fundamental analysis of market-listed entities.
- Data Science Learners: The data is suitable for both beginner and intermediate users engaging in prediction or classification tasks.
Dataset Name Suggestions
- Global Corporate Employee Metrics
- Employee Counts and Stock Prices
- Ranked Big Companies Data
Attributes
Original Data Source: Employee Counts and Stock Prices
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