Billionaires Python Library
From the CORGIS Dataset Project
By Ryan Whitcomb
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.
Usage
import billionaires
billionaire = billionaires.get_billionaire()
Documentation
- get_billionaire()
- Returns a list of dictionaries representing billionaire.