Dark Mode
Billion-Dollar Startup Valuations
Finance & Banking Analytics
Tags and Keywords
Trusted By
"No reviews yet"
Free
About
This data details privately held startup companies valued at over $1 billion, commonly known as "unicorns". The term was popularised in 2013 by venture capitalist Aileen Lee, representing the statistical rarity of such successful ventures. It offers insights into the valuation, establishment dates, geographical origins, and key investors of these billion-dollar startups. This is a tidied up version of an original dataset found on Kaggle.
Columns
- Index: A numerical identifier for each entry.
- Company: The name of the unicorn startup. This column contains 935 unique company names.
- Valuation ($B): The company's valuation expressed in billions of US dollars, with values ranging from $1 billion up to $140 billion.
- Date Joined: The date on which the company achieved unicorn status. Dates span from 20th July 2007 to 7th December 2021.
- Country: The primary country of origin for the startup. There are 45 unique countries represented, with the United States accounting for 51% of entries and China for 18%.
- City: The city where the startup is based, covering 241 unique locations. San Francisco is the most common with 14%, followed by New York with 9%.
- Industry: The sector in which the startup operates, with 15 distinct industries. Fintech is the most frequent at 20%, and Internet software & services at 18%.
- Investor 1: The name of one of the primary investors in the startup. There are 510 unique investor names, with Sequoia Capital China being the most common.
- Investor 2: The name of a second primary investor, where available. 5% of entries are missing this information. There are 532 unique investor names, with Accel being the most common.
- Investor 3: The name of a third primary investor, where available. 14% of entries are missing this information. There are 502 unique investor names, with Tiger Global Management being the most common.
- Investor 4: The name of a fourth primary investor, which is rarely populated, with 99% of entries missing this information. There are 7 unique investor names, with Softbank Group being the most common.
Distribution
The data is provided in a CSV file format, named
Unicorn_Clean.csv. It has a file size of 112.56 kB and is structured with 11 distinct columns. Most columns contain data for 936 records, with some investor columns having missing values (e.g., Investor 4 is nearly empty).Usage
This data is ideal for:
- Analysing trends in high-growth startup valuations and industry prevalence.
- Identifying geographical hotspots for successful startup ecosystems.
- Researching the involvement of venture capital firms in billion-dollar companies.
- Studying the historical timeline of companies achieving unicorn status.
- Understanding the characteristics that contribute to a startup's exceptional growth.
Coverage
The data covers privately held startup companies globally that have achieved a valuation of over $1 billion. Geographically, it includes entries from 45 different countries, with a strong emphasis on the United States (51%) and China (18%). The time range for companies achieving unicorn status spans from 20th July 2007 to 7th December 2021, providing a historical perspective on this phenomenon.
License
CC0: Public Domain
Who Can Use It
This data product is suitable for a wide array of users, including:
- Venture Capitalists: For market analysis, identifying investment patterns, and competitor intelligence.
- Market Researchers: To study startup growth, industry shifts, and global economic trends.
- Academics and Students: For research projects in business, finance, economics, and entrepreneurship.
- Data Analysts: To build models, conduct statistical analysis, and visualise startup landscape data.
- Entrepreneurs: To gain insights into successful business models and investor engagement.
Dataset Name Suggestions
- Global Unicorn Startups (Cleaned)
- Billion-Dollar Startup Valuations
- Startup Unicorn Index
- Venture Capital Unicorns
- High-Growth Private Companies
Attributes
Original Data Source: Billion-Dollar Startup Valuations
QUALITY