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Forbes Billionaires Wealth Data
Data Science and Analytics
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About
This dataset details billionaires listed in Forbes, offering an exploration into the various factors influencing wealth accumulation. Its primary purpose is to uncover valuable opportunities for underdeveloped or developing countries by examining patterns and insights within the data. By leveraging this information, nations can make informed decisions to enhance their wealth and foster greater well-being. The dataset aims to provide actionable insights tailored for policymakers, entrepreneurs, and anyone dedicated to contributing to global economic expansion and prosperity.
Columns
- rank: The individual's or organisation's rank based on their wealth.
- name: The full name of the person or organisation.
- forbes_id: A unique identifier used to locate their profile on Forbes.com.
- net_worth: The stated net worth at the time the data was collected.
- age: The age of the individual when the data was collected (valid for 2575 records, 65 missing).
- age_range: Categorised age ranges, where '0' denotes an unknown age, '1' for ages 1-10, and so forth.
- country: The country where the individual primarily operates or works.
- source: A general description of the primary source of wealth (e.g., Real estate, Investments).
- industry: The main industry sector the individual is involved in (e.g., Finance & Investments, Manufacturing).
- Age: The age of the individual as provided on their specific Forbes.com profile (valid for 2555 records, 85 missing).
- Source of Wealth: A more detailed account of wealth origins, often including specific ventures or self-made status (e.g., Real estate, Self Made, Diversified).
- Self-Made Score: A score indicating the degree to which an individual's wealth is self-generated (valid for 558 records, 2082 missing).
- Philanthropy Score: A score reflecting the individual's engagement in philanthropic activities (valid for 411 records, 2229 missing).
- Residence: The primary city and state or country of residence.
- Citizenship: The country of citizenship.
- Marital Status: The individual's marital status (valid for 2089 records, 551 missing).
- Children: The number of children the individual has (valid for 1598 records, 1042 missing).
- Education: A description of the highest education level attained (valid for 1415 records, 1225 missing).
- Bachelor: A binary indicator (0 or 1) signifying if the individual holds a Bachelor's degree.
- Master: A binary indicator (0 or 1) signifying if the individual holds a Master's degree.
- Doctorate: A binary indicator (0 or 1) signifying if the individual holds a Doctorate degree.
- Drop Out: A binary indicator (0 or 1) signifying if the individual dropped out of education.
- Self Made: A binary indicator (0 or 1) confirming if the individual is self-made.
Distribution
The dataset is provided as a CSV file, specifically named
forbes_2640_billionaires.csv, with a file size of 541.25 kB. It contains 23 distinct columns and consists of 2640 records. While most columns have complete data for all records, several, such as Self-Made Score, Philanthropy Score, Children, and Education, have a notable number of missing values.Usage
This dataset is ideally suited for:
- Economic Research: Analysing factors that contribute to wealth accumulation and economic development.
- Policy Making: Informing policymakers on strategies to foster economic growth and improve well-being in developing nations.
- Entrepreneurial Insight: Identifying trends and opportunities for entrepreneurs seeking to build successful ventures.
- Socio-economic Studies: Investigating the demographic, educational, and professional backgrounds of global billionaires.
- Data Analysis: Creating models to understand wealth distribution, predict economic trends, or identify correlations between various life factors and financial success.
Coverage
The dataset spans a global geographic scope, encompassing individuals from 77 different countries of work and citizenship, with residences in 772 unique locations. Prominent countries represented include the United States (28%) and China (19%). The data captures information on billionaires at the point it was scraped, with no expected future updates. It includes a wide demographic range, from various ages and marital statuses to diverse educational backgrounds. However, specific data availability varies, with substantial missing information for attributes such as Self-Made Score, Philanthropy Score, Children, Education, and Marital Status.
License
CC0: Public Domain
Who Can Use It
- Policymakers: To devise effective strategies for national economic growth and prosperity.
- Entrepreneurs: To glean insights into successful wealth creation and industry trends.
- Economists and Researchers: For studies on wealth inequality, economic drivers, and global development.
- Students and Academics: As a resource for projects and dissertations in business, economics, and sociology.
- Journalists and Media Professionals: For data-driven reporting on wealth trends and elite profiles.
Dataset Name Suggestions
- Forbes Billionaires Wealth Data
- Global Billionaire Insights
- Wealth Determinants Dataset
- Forbes Elite Profiles
- Economic Wealth Factors
Attributes
Original Data Source: Forbes Billionaires Wealth Data
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