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The Worlds Wealthiest Individuals Dataset
Finance & Banking Analytics
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About
Contains data on the world's wealthiest individuals, as compiled by Forbes. This collection of data details the origins, net worth, age, sources of wealth, and industries of billionaires. It is a valuable resource for researchers, analysts, and journalists studying trends in wealth accumulation, economic growth, and income inequality. Analysing this data can offer significant insights into the global distribution of wealth and the factors contributing to its creation.
Columns
- Rank: The ranking of the billionaire on the Forbes' Rich List.
- Name: The name of the billionaire individual.
- Net Worth: The total net worth of the billionaire in US dollars, including all assets, investments, and liabilities.
- Age: The age of the billionaire.
- Country: The country of citizenship for the billionaire.
- Source: The primary source of the billionaire's wealth.
- Industry: The specific industry or sector where the billionaire's fortune was made.
Distribution
- Format: CSV
- File Size: 174.42 kB
- Structure: The dataset is structured with 7 columns. Specific record counts are not provided.
Usage
Ideal applications for this dataset include studying the relationship between education and wealth, exploring the impact of technology on wealth creation, and analysing global wealth distribution. It is also suitable for predictive modelling, machine learning applications, and data visualisation projects. Businesses and governments can use it to create rankings and indices to inform decision-making processes.
Coverage
- Geographic: The dataset has global coverage, with billionaires from 74 unique countries, including a significant number from the United States and China.
- Time Range: The dataset is updated annually.
- Demographics: Includes data on age and gender for the listed individuals. Note that some records may have missing values for certain fields like age or country.
License
CC0: Public Domain
Who Can Use It
- Researchers and Academics: Can use the data to study trends in wealth accumulation and income inequality.
- Data Analysts and Scientists: Suitable for predictive modelling, machine learning tasks, and creating insightful data visualisations.
- Journalists and Economists: Can leverage the data to report on global economic trends and the distribution of wealth.
- Students: A useful resource for projects in business, finance, and data analytics.
Dataset Name Suggestions
- Global Billionaires List by Forbes
- Forbes World's Richest People Analysis
- Wealth Distribution and Billionaire Demographics
- Annual Forbes Billionaires Data
- The World's Wealthiest Individuals Dataset
Attributes
Original Data Source: The Worlds Wealthiest Individuals Dataset
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