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American Corporate Pay Gap Data
Data Science and Analytics
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About
This dataset offers an in-depth exploration into the pay practices of the top 3000 companies in the United States, encompassing those listed on the Russell 3000 and S&P 500 indices. It provides critical insights into executive compensation, addressing public concerns over pay equality and fair wages, an issue that has been particularly highlighted by recent technology layoffs. This resource is invaluable for policymakers, researchers, and advocacy groups seeking to understand current compensation trends.
Columns
- Company name: The official name of the company.
- CEO name: The name of the Chief Executive Officer.
- CEO salary: The salary received by the CEO.
- Industry: The industry under which the company is publicly listed.
- Company Ticker: The company's IPO ticker symbol.
- Median worker pay: The median wage earned by workers within the company.
- Pay ratio: The ratio comparing CEO pay to the median worker pay.
Distribution
The dataset is typically provided in CSV format, with the primary file named
ceo_data_pay_merged_r3000.csv, which has a size of 201.49 kB. It features 8 distinct columns. Most columns, including ticker, company_name, median_worker_pay, pay_ratio, ceo_name, salary, and industry, contain 2175 valid records. The ticker and company_name columns each have 2175 unique values. There are 2157 unique values for median_worker_pay and 539 for pay_ratio. The ceo_name column lists 2160 unique individuals, while salary has 2174 unique values. The industry column identifies 11 unique sectors, with 'Financials' being the most common at 17% of records, followed by 'Industrials' at 15%.Usage
This dataset is ideal for a variety of applications, including:
- Exploring and visualising the relationship between CEO pay and worker pay.
- Comparing compensation practices across different industries and companies.
- Uncovering underlying patterns and trends in executive and employee compensation data.
- Detecting anomalies in pay practices and pinpointing companies with notably high or low pay ratios.
- Performing regression analysis to identify factors contributing to pay inequality and assessing their relative importance.
- Clustering companies based on their pay practices to highlight similarities and differences among groups.
- Supporting initiatives aimed at promoting pay equality and advocating for fair wages.
Coverage
The dataset focuses on the top 3000 companies within the United States, specifically those included in the Russell 3000 and S&P 500 indices. The data reflects pay practices from the year 2023.
License
CC0: Public Domain
Who Can Use It
- Policymakers: To gain insights into executive compensation and inform policy decisions.
- Researchers: For in-depth analysis of pay disparity, economic trends, and social impact studies.
- Advocacy groups: To support campaigns for pay equality and fair wages.
- Data analysts and visualisers: To explore, present, and communicate findings on compensation structures.
Dataset Name Suggestions
- US CEO and Worker Pay Disparity 2023
- Executive and Employee Compensation in Top US Firms
- Russell 3000 & S&P 500 Pay Analytics
- American Corporate Pay Gap Data
- Fair Wage Insights: US Companies 2023
Attributes
Original Data Source: American Corporate Pay Gap Data
QUALITY