CEO-to-Worker Pay Ratios Dataset
Data Science and Analytics
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This dataset offers an insightful look into CEO compensation and corporate inequality for the years 2020 and 2020-21. It sheds light on the substantial compensation packages awarded to top executives at America's largest public firms, detailing how their pay growth has outpaced that of the stock market, typical workers, university graduates, and even the top 0.1%. The data highlights that this escalating executive pay, often heavily linked to stock performance, is a significant contributor to rising income inequality, rather than being solely driven by increased productivity or unique skills. The resource also acknowledges the impact of the COVID-19 pandemic on executive compensation adjustments. It is an invaluable tool for examining the dynamics of high-level executive remuneration and its broader societal implications.
Columns
The dataset includes information from two primary files:
CEO_compensation_top50_2020.csv
and CEO_largestrevenue_highestpaid_2020-21.csv
.From
CEO_compensation_top50_2020.csv
:- ranking: The numerical rank of the CEO based on their total compensation.
- ceo: The name of the Chief Executive Officer.
- company: The name of the company the CEO leads.
- tgc (Total Granted Compensation): The total compensation granted to the CEO in US Dollars.
- tgc_yr (TGC 1 year Growth): The one-year percentage growth in the Total Granted Compensation.
- trc (Total Realized Compensation): The total compensation realised by the CEO in US Dollars.
- trc_yr (TRC 1 year Growth): The one-year percentage growth in the Total Realized Compensation.
- tsr (One-year Total Shareholder Return): The one-year Total Shareholder Return, expressed as a percentage.
- tsr_yr (TSR 1YR growth point): The one-year growth point in Total Shareholder Return, expressed as a percentage.
From
CEO_largestrevenue_highestpaid_2020-21.csv
:- CEO Total Compensation: The overall compensation received by the CEO.
- Median Employee Pay: The median pay for employees within the corresponding company.
- Pay change over previous year: The year-over-year change in pay for the CEO.
- Fiscal Year Revenue: The company's reported revenue for the fiscal year.
- Revenue change over previous year: The year-over-year change in the company's revenue.
- CEO to Employee Pay Ratio: The ratio comparing the CEO's total compensation to the median employee's pay.
Distribution
This dataset is structured into two tabular CSV files.
CEO_compensation_top50_2020.csv
provides data for the top 50 paid CEOs in 2020. This file has 50 records for most parameters, with a few columns (tgc_yr
, trc_yr
, tsr
, tsr_yr
) having a small number of missing entries (between 3 and 9 out of 50). Its file size is 3.71 kB and it contains 9 columns. The CEO_largestrevenue_highestpaid_2020-21.csv
file contains data regarding CEO and employee pay for the largest companies by revenue in 2020/2021, and also references the New York Times' list of 200 highest-paid CEOs in 2020. Specific row counts for this second file are not explicitly detailed in the provided information. The data is suitable for analysis of individual entries and aggregated trends.Usage
This dataset is suitable for analysing trends in executive remuneration, understanding the dynamics of corporate inequality, and exploring the connection between CEO pay and various company performance metrics such as shareholder return and revenue growth. It can be used to investigate the factors driving the disparity between executive and worker pay, and to assess the impact of these compensation structures on economic growth and wealth distribution.
Coverage
The dataset primarily focuses on America's largest public firms within the United States. It includes data for the top 50 highest-paid CEOs in 2020, as well as information pertaining to the 200 highest-paid CEOs published by the New York Times for 2020. The time range for the data covers the 2020 fiscal year for specific CEO compensation figures, and 2020-2021 for details on CEO and employee pay at large revenue companies. The data profiles individuals in executive leadership and their corresponding workforces.
License
CC0: Public Domain
Who Can Use It
- Economists and Social Scientists: To research income inequality, executive pay structures, and their economic repercussions.
- Journalists and Media Professionals: For developing news stories on corporate governance, wealth gaps, and executive benefits.
- Policy Analysts and Government Bodies: To inform legislative and policy decisions regarding corporate taxation, executive compensation regulations, and fair labour practices.
- Investors and Financial Analysts: To gain insights into how executive incentives align with company performance and ethical considerations.
- Academic Researchers and Students: For projects and studies in business, finance, and labour economics.
Dataset Name Suggestions
- US CEO Compensation & Inequality 2020-21
- Executive Pay Disparity in Public Companies
- Corporate Leadership Compensation Trends
- CEO-to-Worker Pay Ratios Dataset
- Top Executive Remuneration Analysis
Attributes
Original Data Source: CEO-to-Worker Pay Ratios Dataset