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Billionaires Python Library

From the CORGIS Dataset Project

By Ryan Whitcomb </span>
Version 2.0.0, created 5-17-16
Tags: money, rich, wealthy, people, person, billionaire

Overview

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.)

http://www.iie.com/publications/interstitial.cfm?ResearchID=2917

Explore Structure

Each row represents $MISSING_FIELD.

Index Type Example Value
0 dict { }
1 dict (same structure)
2 dict (same structure)
... ... ...
Key Type Example Value Description
"name" str "Bill Gates" The name of the billionaire.
"rank" int 1 The rank of this billionaire compared to the rest of the billionaires reported on. A lower rank means they make more money.
"year" int 1996 The year that data about this billionaire was collected.
"company" dict { }
"demographics" dict { }
"location" dict { }
"wealth" dict { }
Key Type Example Value Description
"founded" int 1975 The year that the company was founded.
"name" str "Microsoft" The name of the company.
"relationship" str "founder" The billionaires relationship to the company.
"sector" str " Software" The sector of the business, or what segment of the economy they fit into.
"type" str "new" The type of business for this company.
Key Type Example Value Description
"age" int 40 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.
"gender" str "male" A string representing their gender.
Key Type Example Value Description
"citizenship" str "United States" The name of the country that this billionaire has citizenship with.
"country code" str "USA" the 3-letter country code of the country where this billionaire has citizenship.
"gdp" float 8100000000000.0 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 "North America" The region of the world where this billionaire lives.
Key Type Example Value Description
"type" str "founder non-finance" The type of billionaire that they are.
"worth in billions" float 18.5 The number of billion of dollars that this billionaire is worth.
"how" dict { }
Key Type Example Value Description
"category" str "New Sectors" A category representing where their money came from.
"from emerging" bool True Whether the money came from emerging markets.
"industry" str "Technology-Computer" The specific industry this billionaire profitted from.
"inherited" str "not inherited" The way that this money was inherited (or not inherited). Inheritance can come from a spouse, the father, or from multiple generations within a family (either 3, 4, or 5+).
"was founder" bool True Whether the billionaire was the founder of their company.
"was political" bool True Whether the money came from politics.

Downloads

Download all of the following files.

  1. billionaires.py
  2. billionaires.data

Usage

import billionaires
billionaire = billionaires.get_billionaire()

Documentation

get_billionaire()
Returns a list of dictionaries representing billionaire.