7 datasets found
  1. Forbes World's Billionaires List 2024

    • kaggle.com
    Updated Aug 9, 2025
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    Vincent Campanaro (2025). Forbes World's Billionaires List 2024 [Dataset]. http://doi.org/10.34740/kaggle/dsv/12717950
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Aug 9, 2025
    Dataset provided by
    Kaggle
    Authors
    Vincent Campanaro
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Description

    This comprehensive dataset encapsulates a detailed snapshot of the wealthiest individuals globally, as listed by Forbes in 2024. Compiled through meticulous web scraping and data aggregation, the dataset includes a wide range of attributes for each billionaire. Fields encompass basic personal information such as name, age, and gender, alongside financial details including net worth and sources of wealth. The dataset further delves into aspects like industry involvement, organizational affiliations, philanthropic endeavors, and educational backgrounds.

    Key attributes in this dataset include:

    Name: Full legal name of the billionaire. Age: Age of the individual. 2024 Net Worth: Estimated net worth in USD for the year 2024. Industry: Primary industry or sector of operation. Source of Wealth: Origin of the billionaire’s wealth. Title: Professional title or position. Organization: Name of the associated organization. Self-Made: Indicator if the wealth is self-made. Self-Made Score: A quantitative score assessing how self-made their wealth is. Philanthropy Score: A score reflecting the extent of their philanthropic activities. Residence: Main residence of the individual. Citizenship: Legal citizenship. Gender: Gender identity. Marital Status: Current marital status. Children: Number of children. Education: Highest level of education attained.

    This dataset is ideal for analysis, offering insights into the distribution of wealth, the influence of education on wealth accumulation, and trends across different industries. It also provides a foundation for exploring the impact of socioeconomic factors on personal wealth. The data were collected and formatted with careful consideration to ensure accuracy, making it a valuable resource for researchers, economists, and anyone interested in the dynamics of wealth and success.

    Please note that some data is missing in this dataset, primarily due to the unavailability of information from Forbes. This issue becomes more prevalent beyond the top 400 entries. Many individuals lack a self-made score, a philanthropy score, or specific details regarding their title or organization as per Forbes' listings. I am currently working to update the dataset with this missing information. However, this update process is quite tedious and time-consuming since it is mostly manual. I appreciate your patience and understanding as I work through these details.

  2. Richest People in the World - 2024

    • kaggle.com
    Updated Jun 24, 2024
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    Panda-monium (2024). Richest People in the World - 2024 [Dataset]. https://www.kaggle.com/datasets/divanshu22/richest-people-in-the-world-2024
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Jun 24, 2024
    Dataset provided by
    Kaggle
    Authors
    Panda-monium
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Description

    The "Richest People in the World - 2024" dataset provides a detailed overview of the wealthiest individuals globally for the year 2024. This dataset includes crucial information about the top executives, their net worth, and the countries they are based in, offering valuable insights for economic analysis, market research, and financial studies.

  3. Leading billionaires worldwide 2025

    • statista.com
    • tokrwards.com
    Updated May 30, 2025
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    Statista (2025). Leading billionaires worldwide 2025 [Dataset]. https://www.statista.com/statistics/272047/top-25-global-billionaires/
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    Dataset updated
    May 30, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Mar 2025
    Area covered
    World
    Description

    As of March 2025, Elon Musk had a net worth valued at 328.5 billion U.S. dollars, making him the richest man in the world. Amazon founder Jeff Bezos followed in second, with Marc Zuckerberg, the founder of Facebook, in third. The list is dominated by Americans, and Alice Walton and Francoise Bettencourt Meyers are the only women among the 20 richest people worldwide.

  4. Forbes 2022 Billionaires data [Pre-processed]

    • kaggle.com
    Updated May 23, 2022
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    SJ (2022). Forbes 2022 Billionaires data [Pre-processed] [Dataset]. https://www.kaggle.com/surajjha101/forbes-billionaires-data-preprocessed/discussion
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    May 23, 2022
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    SJ
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Description

    About the Ranking

    The World's Billionaires is an annual ranking by documented net worth of the wealthiest billionaires in the world, compiled and published in March annually by the American business magazine Forbes. The list was first published in March 1987. The total net worth of each individual on the list is estimated and is cited in United States dollars, based on their documented assets and accounting for debt and other factors. Royalty and dictators whose wealth comes from their positions are excluded from these lists. This ranking is an index of the wealthiest documented individuals, excluding any ranking of those with wealth that is not able to be completely ascertained.

    Forbes Methodology

    Each year, Forbes employs a team of over 50 reporters from a variety of countries to track the activity of the world's wealthiest individuals and sometimes groups or families – who share wealth. Preliminary surveys are sent to those who may qualify for the list. According to Forbes, they received three types of responses – some people try to inflate their wealth, others cooperate but leave out details, and some refuse to answer any questions. Business deals are then scrutinized and estimates of valuable assets – land, homes, vehicles, artwork, etc. – are made. Interviews are conducted to vet the figures and improve the estimate of an individual's holdings. Finally, positions in a publicly traded stock are priced to market on a date roughly a month before publication. Privately held companies are priced by the prevailing price-to-sales or price-to-earnings ratios. Known debt is subtracted from assets to get a final estimate of an individual's estimated worth in United States dollars. Since stock prices fluctuate rapidly, an individual's true wealth and ranking at the time of publication may vary from their situation when the list was compiled.

  5. The Top Billionaires

    • kaggle.com
    Updated Apr 19, 2022
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    Alex Parkhomenko (2022). The Top Billionaires [Dataset]. https://www.kaggle.com/datasets/alexandrparkhomenko/the-top-billionaires
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Apr 19, 2022
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Alex Parkhomenko
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Description

    Data for the last five years. Interesting dynamics of capitalization of companies. How do people make money in technology companies.

    Inspiration

    What trends are waiting for us this year?

  6. Forbes World's Billionaires in 2018

    • kaggle.com
    Updated Nov 11, 2021
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    Jay tilala (2021). Forbes World's Billionaires in 2018 [Dataset]. https://www.kaggle.com/jaytilala/forbes-worlds-billionaires-in-2018/tasks
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Nov 11, 2021
    Dataset provided by
    Kaggle
    Authors
    Jay tilala
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Description

    Context

    Who are the world's wealthiest individuals and where are they of 2018?

    Content

    Based on the annual ranking of the individual fortunes in the world with a net worth above $1 billion compiled by Forbes magazine for 2018, I have created this dataset. It contains information about their citizenship and residence, as well as their age and of course net worth (in $ billions).

  7. The Space Race πŸš€ Tweets

    • kaggle.com
    zip
    Updated Jul 21, 2021
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    Amartya Nambiar (2021). The Space Race πŸš€ Tweets [Dataset]. https://www.kaggle.com/amartyanambiar/the-space-race-tweets
    Explore at:
    zip(8531654 bytes)Available download formats
    Dataset updated
    Jul 21, 2021
    Authors
    Amartya Nambiar
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Description

    Context

    Who is going to win the space race? Billionaires and their missions. What do the people think?

    Content

    This dataset contains tweets from Twitter regarding the recent Space Race involving Billionaires like Elon Musk, Jeff Bezos and Richard Branson and their respective Companies - SpaceX, Blue Origin and Virgin Galactic.

    Use the dataset to perform Sentimental Analysis and come to an conclusion what do the people think about Billionaires and their Space related Companies. Find out who is winning the Space Race πŸš€....

  8. Not seeing a result you expected?
    Learn how you can add new datasets to our index.

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Click to copy link
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Vincent Campanaro (2025). Forbes World's Billionaires List 2024 [Dataset]. http://doi.org/10.34740/kaggle/dsv/12717950
Organization logo

Forbes World's Billionaires List 2024

Comprehensive Dataset of all 2,781 billionaires on Forbes

Explore at:
CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
Dataset updated
Aug 9, 2025
Dataset provided by
Kaggle
Authors
Vincent Campanaro
License

https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

Description

This comprehensive dataset encapsulates a detailed snapshot of the wealthiest individuals globally, as listed by Forbes in 2024. Compiled through meticulous web scraping and data aggregation, the dataset includes a wide range of attributes for each billionaire. Fields encompass basic personal information such as name, age, and gender, alongside financial details including net worth and sources of wealth. The dataset further delves into aspects like industry involvement, organizational affiliations, philanthropic endeavors, and educational backgrounds.

Key attributes in this dataset include:

Name: Full legal name of the billionaire. Age: Age of the individual. 2024 Net Worth: Estimated net worth in USD for the year 2024. Industry: Primary industry or sector of operation. Source of Wealth: Origin of the billionaire’s wealth. Title: Professional title or position. Organization: Name of the associated organization. Self-Made: Indicator if the wealth is self-made. Self-Made Score: A quantitative score assessing how self-made their wealth is. Philanthropy Score: A score reflecting the extent of their philanthropic activities. Residence: Main residence of the individual. Citizenship: Legal citizenship. Gender: Gender identity. Marital Status: Current marital status. Children: Number of children. Education: Highest level of education attained.

This dataset is ideal for analysis, offering insights into the distribution of wealth, the influence of education on wealth accumulation, and trends across different industries. It also provides a foundation for exploring the impact of socioeconomic factors on personal wealth. The data were collected and formatted with careful consideration to ensure accuracy, making it a valuable resource for researchers, economists, and anyone interested in the dynamics of wealth and success.

Please note that some data is missing in this dataset, primarily due to the unavailability of information from Forbes. This issue becomes more prevalent beyond the top 400 entries. Many individuals lack a self-made score, a philanthropy score, or specific details regarding their title or organization as per Forbes' listings. I am currently working to update the dataset with this missing information. However, this update process is quite tedious and time-consuming since it is mostly manual. I appreciate your patience and understanding as I work through these details.

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