Researchers have compiled a multi-decade database of the super-rich. Building off the Forbes World's Billionaires lists from 1996-2014, scholars at Peterson Institute for International Economics have added a couple dozen more variables about each billionaire - including whether they were self-made or inherited their wealth. (Roughly half of European billionaires and one-third of U.S. billionaires got a significant financial boost from family, the authors estimate.)


Explore Structure

Index Type Example Value
0 dict { }
... ... ...
Key Type Example Value Comment
"category" str "Financial" A category representing where their money came from.
"from emerging" bool True Whether the money came from emerging markets.
"industry" str "Money Management" The specific industry this billionaire profitted from.
"was political" bool False Whether the money came from politics.
"inherited" bool True Whether the money was partially inherited.
"was founder" bool True Whether the billionaire was the founder of their company.
Key Type Example Value Comment
"gender" str "male" A string representing their gender.
"age" int -1 The current age of the billionaire. Ages that are represented as -1 stand for ages that were not available in the data that was collected.
Key Type Example Value Comment
"wealth" dict { }
"company" dict { }
"rank" int 404 The rank of this billionaire compared to the rest of the billionaires reported on. A lower rank means they make more money.
"location" dict { }
"year" int 1996 The year that data about this billionaire was collected.
"demographics" dict { }
"name" str "Abdul Aziz Al-Sulaiman" The name of the billionaire.
Key Type Example Value Comment
"sector" str "construction" The sector of the business, or what segment of the economy they fit into.
"founded" int 1968 The year that the company was founded.
"type" str "new" The type of business for this company.
"name" str "Rolaco Trading and Contracting Company" The name of the company.
"relationship" str "founder" The billionaires relationship to the company.
Key Type Example Value Comment
"worth in billions" float 1.0 The number of billion of dollars that this billionaire is worth.
"how" dict { }
"type" str "self-made finance" The type of billionaire that they are.
Key Type Example Value Comment
"gdp" float 1.58e+11 The "Gross Domestic Product" of the country where the billionaire has citizenship. This is one of the primary indicators used to gauge the health of a country's economy. It represents the total dollar value of all goods and services produced over a specific time period; you can think of it as the size of the economy.
"region" str "Middle East/North Africa" The region of the world where this billionaire lives.
"citizenship" str "Saudi Arabia" The name of the country that this billionaire has citizenship with.
"country code" str "SAU" the 3-letter country code of the country where this billionaire has citizenship.


Download all of the following files.


This library has 1 function you can use.
import billionaires
list_of_billionaire = billionaires.get_billionaires()



Returns information about all the billionaires.