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Worlds Top 100 Billionaires
Data Science and Analytics
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About
This dataset provides a definitive list of the Top 100 Richest People in the World, offering insights into their financial standing and background. It aims to serve as a valuable resource for analysing global wealth distribution, demographic patterns of the ultra-rich, and the industries that foster significant fortunes.
Columns
- Name: The individual's full name. Each entry is unique, with 101 distinct values.
- NetWorth: The person's net worth, typically expressed in US dollars. There are 87 unique net worth values, with examples like $24,300,000,000.
- Age: The person's age. Ages range from 30 to 94 years, with an average age of 67.1 years and a standard deviation of 13.8.
- Country: The country of origin or primary residence for each individual. The dataset includes 19 unique countries, with the United States representing 37% of the entries.
- Source: The primary source of the individual's wealth. There are 77 unique sources, including common mentions like mining and hedge funds.
- Industry: The main industry or domain of expertise associated with the individual's wealth. This column contains 16 unique industries, with Fashion & Retail (18%) and Technology (15%) being among the most frequent.
All columns contain 101 valid entries, indicating no missing or mismatched data points.
Distribution
The dataset is provided as a CSV file, specifically named
TopRichestInWorld.csv, and has a file size of 7.63 kB. It comprises 6 columns and a total of 101 individual records or rows, each representing a distinct wealthy person.Usage
This dataset is ideally suited for various analytical and research purposes, including:
- Economic analysis: Studying wealth disparities and concentrations globally.
- Demographic research: Investigating age, country, and industry distributions among the world's wealthiest individuals.
- Market research: Identifying prominent industries and wealth creation avenues.
- Educational purposes: Providing real-world data for case studies in economics, finance, and sociology.
Coverage
The dataset's geographic scope is global, featuring individuals from various countries, notably the United States and China. Demographically, it focuses exclusively on the top 100 wealthiest individuals, with ages ranging from 30 to 94 years. The data represents a static snapshot, as the expected update frequency is 'Never', indicating it is a fixed list without ongoing updates.
License
CC0: Public Domain
Who Can Use It
This dataset is particularly beneficial for:
- Economists and financial analysts examining global wealth trends.
- Researchers conducting studies on socio-economic demographics and wealth generation.
- Journalists seeking data for articles on wealth and inequality.
- Students undertaking projects related to business, economics, or statistics.
Dataset Name Suggestions
- Global Wealth Elite
- World's Top 100 Billionaires
- Richest Individuals by Country and Industry
- Forbes 100 Richest People
- Wealth Atlas: Top 100
Attributes
Original Data Source:Worlds Top 100 Billionaires
QUALITY