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2019 Inc 5000 Business Growth Data
Finance & Banking Analytics
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About
This dataset contains detailed information about each company featured on the INC 5000 list in 2019. It provides a snapshot of fast-growing private businesses, including their key operational and financial metrics. The data encompasses essential details such as the company name, industry sector, founding year, website address, and geographical location. Furthermore, it includes 2019 revenue figures, percentage growth rates, the number of workers (year-over-year), and the number of years a company has been included on the prestigious list. This dataset is valuable for understanding trends in high-growth companies and economic performance.
Columns
- rank: Represents the company's official rank on the INC 5000 list, ranging from 1 to 5000. All 5012 entries are valid.
- profile: A unique URL linking to the company's profile. There are 5012 unique values.
- name: The name of the company. Each of the 5012 entries is unique.
- url: The company's website address. All 5012 entries are unique.
- state: The United States state where the company is based. California and Texas are the most frequently occurring states among 51 unique entries. All 5012 entries are valid.
- revenue: The reported revenue for the company in 2019. Values are varied across 1015 unique entries, with all 5012 entries being valid.
- growth_%: The percentage growth rate of the company. Values range significantly from approximately 52% to over 36,000%. All 5012 entries are valid.
- industry: The industry sector to which the company belongs. "Business Products & Services" and "Advertising & Marketing" are the most common among 27 unique industries. All 5012 entries are valid.
- workers: The number of employees (workers) in the current year. Values range from 0 to 155,000, with 5011 valid entries and only 1 missing.
- previous_workers: The number of employees in the previous year. Values range from 1 to 53,000. All 5012 entries are valid.
- founded: The year the company was founded. Values generally range from 1814 to 2016, with all 5012 entries being valid.
- yrs_on_list: Indicates the number of consecutive years the company has been on the INC 5000 list. Values range from 1 to 14 years, with all 5012 entries valid.
- metro: The metropolitan area where the company is located. New York City is a common entry among 70 unique areas. There are 4199 valid entries, with 813 (16%) missing values.
- city: The specific city of the company's location. New York and Chicago are frequently listed among 1558 unique cities. All 5012 entries are valid.
Distribution
The dataset is typically provided in a CSV data file format. The sample file,
INC 5000 Companies 2019.csv, has a size of 805.94 kB. It contains 5012 records (rows) and 14 distinct columns. The data file will be updated separately to the platform where it is listed.Usage
This dataset is ideal for various analytical purposes, including:
- Analysing average revenue among companies on the list, potentially broken down by industry sector.
- Identifying the most and least represented industries within the INC 5000.
- Exploring interesting geographic trends related to high-growth companies.
- Determining which industries exhibited the largest average growth rate.
- Pinpointing companies that experienced the largest increase in staff or new hires.
- Investigating cases where companies managed to increase revenue while simultaneously reducing their staff.
Coverage
- Time Range: The data specifically details company performance for the year 2019.
- Geographic Scope: The dataset covers companies located across various states and cities within the United States. Specific metropolitan areas, such as New York City, are also detailed.
- Demographic Scope: It focuses exclusively on companies that made the INC 5000 list, representing a segment of fast-growing, privately-held businesses.
License
CC0: Public Domain
Who Can Use It
- Business analysts and strategists: For market research, competitor analysis, and identifying growth sectors.
- Researchers: Studying business dynamics, economic patterns, and the characteristics of successful enterprises.
- Academics: For use in studies related to entrepreneurship, regional economic development, or corporate strategy.
- Investors: To identify potential high-growth companies or promising industries for investment.
- Data scientists: For developing models to predict company growth, analyse industry performance, or uncover hidden trends.
Dataset Name Suggestions
- INC 5000 Companies: 2019 Performance Metrics
- US Fastest-Growing Private Companies 2019
- 2019 Inc 5000 Business Growth Data
- Annual Inc 5000 Company Performance Insights
Attributes
Original Data Source: 2019 Inc 5000 Business Growth Data
QUALITY