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Billionaire Wealth Sources & Demographics
Finance & Banking Analytics
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About
An exploration into the demographics and financial backgrounds of the world's wealthiest individuals, this data provides a twenty-year look at billionaires from 2002 to 2023. It offers insights into the characteristics and successes of these individuals, which can be used to understand wealth accumulation, especially during periods of economic instability. The data is also valuable for examining trends in global wealth inequality.
Columns
- index: The row identifier in the dataset.
- name: The full name of the individual.
- last_name: The last name of the individual.
- age: The age of the individual.
- gender: The gender of the individual (e.g., M, F).
- time: The year the statistics were recorded.
- permanent_country: The main country of residence for the individual.
- company: The name of the company associated with the individual, if applicable.
- main_industry: The primary industry from which the individual derives most of their wealth.
- wealth_source_details: Additional details regarding the sources of wealth.
- industry: Other industries the individual is involved in.
- state: The state of residence, applicable only to US-based individuals.
- headquarters: The headquarters location, applicable only to US-based individuals.
- countries: Other countries where the individual may be based.
- annual_income: The individual's annual income for a specific year.
- daily_income: The individual's daily income for a specific year.
- birth_year: The birth year of the individual.
- name_cleaned: A cleaned version of the individual's name.
Distribution
The dataset is provided in a single CSV file named
billionaire_list_20yrs.csv with a size of 77.23 MB. It is structured in a tabular format and contains 358,000 valid records across 18 columns.Usage
Ideal applications for this dataset include:
- Visualising global wealth trends across various industries over two decades.
- Predicting future growth trajectories of wealth among the world's richest people.
- Clustering individuals based on demographic profiles, geographic locations, and wealth sources.
- Analysing wealth inequality gaps when combined with poverty datasets.
Coverage
- Geographic: The data covers billionaires globally, with specific details for individuals based in the United States, such as state and headquarters.
- Time Range: The dataset spans a 20-year period from 2002 to 2022.
- Demographic: Includes demographic details such as age, gender, and birth year. Data completeness for some fields like
stateandheadquartersis limited to US-based individuals, and other columns likelast_nameandgenderhave some missing values.
License
CC0: Public Domain
Who Can Use It
- Economists and Sociologists: To study wealth distribution, inequality, and economic trends.
- Data Scientists and Analysts: For predictive modelling, trend analysis, and data visualisation projects.
- Journalists and Researchers: To investigate the backgrounds and industries of the world's wealthiest individuals.
- Business Strategists: To analyse industry-specific wealth creation and identify market trends.
Dataset Name Suggestions
- Global Billionaire Demographics and Wealth (2002-2023)
- 20-Year Analysis of the World's Richest Individuals
- Billionaire Wealth Sources & Demographics
- Global Wealth Elite: A Two-Decade Review
- The Billionaire List: Trends from 2002-2023
Attributes
Original Data Source: Billionaire Wealth Sources & Demographics
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