In 2021, about **** million small business firms with employees were counted in the United States. That same year, there were around ** million non-employer small businesses.

During an online survey, 10.1 percent of surveyed small businesses in the United States said they had a decrease in their number of paid employees due to the COVID-19 pandemic during the week ending April 17, 2022. Another 8.2 percent of respondents said that they had increased the number of employees during the same week.

Small business transactions and revenue data aggregated from several credit card processors, collected by Womply and compiled by Opportunity Insights. Transactions and revenue are reported based on the ZIP code where the business is located. Data provided for CT (FIPS code 9), MA (25), NJ (34), NY (36), and RI (44). Data notes from Opportunity Insights: Seasonally adjusted change since January 2020. Data is indexed in 2019 and 2020 as the change relative to the January index period. We then seasonally adjust by dividing year-over-year, which represents the difference between the change since January observed in 2020 compared to the change since January observed since 2019. We account for differences in the dates of federal holidays between 2019 and 2020 by shifting the 2019 reference data to align the holidays before performing the year-over-year division. Small businesses are defined as those with annual revenue below the Small Business Administration’s thresholds. Thresholds vary by 6 digit NAICS code ranging from a maximum number of employees between 100 to 1500 to be considered a small business depending on the industry. County-level and metro-level data and breakdowns by High/Middle/Low income ZIP codes have been temporarily removed since the August 21st 2020 update due to revisions in the structure of the raw data we receive. We hope to add them back to the OI Economic Tracker soon. More detailed documentation on Opportunity Insights data can be found here: https://github.com/OpportunityInsights/EconomicTracker/blob/main/docs/oi_tracker_data_documentation.pdf

A comprehensive dataset covering small business statistics in 2025, including failure rates, growth data, average revenue, number of employees, and market insights.

The Office of Advocacy’s Small Business Profiles are an annual portrait of each state’s small business. They gather the latest federal data into state-by-state snapshots of small business health and economic activity. Limited economic data is also provided for the U.S. territories. This year’s profiles report on state economic growth and employment, income and finance, employer business owner demographics, turnover among establishments with employees, international trade, small business employment by industry and county, and self-employment by county, and small businesses by industry.

In 2022, about ***** million small businesses in the professional, scientific, and technical services industry had no employees. A further ******* small business had one to 19 employees in the same industry.

Graph and download economic data for Nonfarm Private Small Payroll Employment (1 - 49) (DISCONTINUED) (NPPTS) from Jan 2005 to May 2022 about 1 to 49, payrolls, nonfarm, private, employment, and USA.

The dataset exists to observe the entrepreneurial activity of Austin over a long time period. The data comes from the U.S. Census County Business Pattern table and is capturing data at the Travis County level. It contains the cumulative count of firms by employee size and count of firms by employee size by industry. This data can be used to see changes of employer growth by industry; to project where workforce growth could be occurring; or to simply see how many small businesses there are in Austin. View more details and insights related to this data set on the story page: data.austintexas.gov/stories/s/ndb5-si22

United States SBP: ES: Change in Number of Employees: Number Effect data was reported at 83.000 % in 11 Apr 2022. This records a decrease from the previous number of 83.900 % for 04 Apr 2022. United States SBP: ES: Change in Number of Employees: Number Effect data is updated weekly, averaging 83.750 % from Nov 2020 (Median) to 11 Apr 2022, with 54 observations. The data reached an all-time high of 90.800 % in 15 Feb 2021 and a record low of 74.800 % in 30 Aug 2021. United States SBP: ES: Change in Number of Employees: Number Effect data remains active status in CEIC and is reported by U.S. Census Bureau. The data is categorized under Global Database’s United States – Table US.S045: Small Business Pulse Survey: by Sector: Weekly. Beg Monday (Discontinued).

United States SBP: RE: Change in Number of Employees: Number Effect data was reported at 92.400 % in 11 Apr 2022. This records an increase from the previous number of 91.500 % for 04 Apr 2022. United States SBP: RE: Change in Number of Employees: Number Effect data is updated weekly, averaging 91.450 % from Nov 2020 (Median) to 11 Apr 2022, with 54 observations. The data reached an all-time high of 93.400 % in 28 Dec 2020 and a record low of 88.100 % in 11 Oct 2021. United States SBP: RE: Change in Number of Employees: Number Effect data remains active status in CEIC and is reported by U.S. Census Bureau. The data is categorized under Global Database’s United States – Table US.S045: Small Business Pulse Survey: by Sector: Weekly. Beg Monday (Discontinued).

The total number of businesses (both for-profit and non-profit) that report having less than 50 persons employed within an area at a single time in a year. Source: InfoUSA Years Available: 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022, 2023

Small business transactions and revenue data aggregated from several credit card processors, collected by Womply and compiled by Opportunity Insights. Transactions and revenue are reported based on the ZIP code where the business is located.

Data provided for CT (FIPS code 9), MA (25), NJ (34), NY (36), and RI (44).

Data notes from Opportunity Insights: Seasonally adjusted change since January 2020. Data is indexed in 2019 and 2020 as the change relative to the January index period. We then seasonally adjust by dividing year-over-year, which represents the difference between the change since January observed in 2020 compared to the change since January observed since 2019. We account for differences in the dates of federal holidays between 2019 and 2020 by shifting the 2019 reference data to align the holidays before performing the year-over-year division.

Small businesses are defined as those with annual revenue below the Small Business Administration’s thresholds. Thresholds vary by 6 digit NAICS code ranging from a maximum number of employees between 100 to 1500 to be considered a small business depending on the industry.

County-level and metro-level data and breakdowns by High/Middle/Low income ZIP codes have been temporarily removed since the August 21st 2020 update due to revisions in the structure of the raw data we receive. We hope to add them back to the OI Economic Tracker soon.

More detailed documentation on Opportunity Insights data can be found here: https://github.com/OpportunityInsights/EconomicTracker/blob/main/docs/oi_tracker_data_documentation.pdf

This dataset presents the number of employees working in Qatar’s hotels and restaurants sector for establishments with fewer than 10 employees. It is categorized by gender and occupation, supporting analysis of workforce structure in small businesses within the hospitality industry.

This statistic shows the number of business establishments with less than five employees in the United States in 2021, by industry. In 2021, about ******* business establishments operating in accommodation and food services with less than five employees were registered in the United States.

This survey was conducted as part of an evaluation of the Robert Wood Johnson Foundation's Health Care for the Uninsured Program (HCUP), a program whose primary focus was the development and marketing of affordable health insurance products for small businesses. The survey investigated the number and types of small businesses that offered and did not offer insurance, the number and types of employees of small businesses who received and did not receive insurance, and whether the employers and employees participating in HCUP were different from those with other types of insurance or from those with no insurance. In addition, the survey was designed to test several hypotheses: whether employers facing an inelastic demand for their product or a tight labor market would be more likely to offer health insurance to their employees, and whether higher wages substitute for health insurance for certain groups of highly skilled or unionized workers. Firm-level data collected by the survey include number of permanent and temporary employees, employee turnover, fringe benefits offered to full- and part-time employees (e.g., paid vacation, paid sick leave, long-term disability insurance, life insurance, retirement plan, group health insurance), type of business, number of years owner had owned the company, age and legal form of the company, and gross revenue. Extensive information on health insurance was obtained from firms offering this benefit: total monthly premium paid for health insurance, percent of premium paid by the company, reasons that influenced the decision to provide health insurance, whether a Health Maintenance Organization (HMO) insurance plan was offered, whether a deductible or co-payment was required for hospital inpatient services, and whether hospital room and board, physician office visits, maternity care, prescription drugs, inpatient mental health treatment, or substance abuse treatment were covered. These firms were also queried about recent changes in the number of health plan enrollees, deductibles, co-insurance rates, benefits offered, employer premium share, recent changes in health insurance carriers and reasons for changing, and recent increases in premiums and their effects on the firm's prices, profits, wages, and number of employees. Companies not offering health insurance were asked why they did not offer this benefit and were queried about factors that might influence them to offer a health plan. Individual-level data on employees include sex, age, marital status, length of employment, number of hours worked during the last week, salary or wage, health plan participation, amount of health premium paid by the employee, and whether the employee had health coverage from another source.

The total dollar amount invested in businesses with fewer than 500 employees per 50 businesses. Small business lending data to include FFIEC insured bank loans under $1 million to businesses made by large banks; venture capital investments; US Export-Import Bank loans; Small Business Innovation Research (SBIR) and Small business Technology Transfer Research (STTR) grants; government, philanthropic, and institutional grants supporting small businesses; Maryland Department of Commerce loans; State of Maryland Neighborhood BusinessWorks loans; Baltimore Development Corporation loans; and Small Business Administration 7a and 504 loans.Source: Johns Hopkins University, 21st Century Cities Initiative Years Available: 2016, 2017, 2018, 2019, 2020, 2021, 2022, 2023

United States SBP: Change in Number of Employees: Number Effect data was reported at 71.300 % in 11 Apr 2022. This records a decrease from the previous number of 73.800 % for 04 Apr 2022. United States SBP: Change in Number of Employees: Number Effect data is updated weekly, averaging 71.050 % from Nov 2020 (Median) to 11 Apr 2022, with 54 observations. The data reached an all-time high of 80.000 % in 08 Mar 2021 and a record low of 63.800 % in 21 Jun 2021. United States SBP: Change in Number of Employees: Number Effect data remains active status in CEIC and is reported by U.S. Census Bureau. The data is categorized under Global Database’s United States – Table US.S045: Small Business Pulse Survey: by Sector: Weekly. Beg Monday (Discontinued).

The dataset contains the companies surveyed in the 9th Census of Industry and Services. The survey units are: sole proprietorships, partnerships and corporations, cooperatives (excluding social cooperatives, covered by the survey on non-profit institutions), private law consortia, economic public bodies, special companies and public utility companies. For the purposes of the census, self-employed workers and freelancers are also considered enterprises. The companies are classified by Ateco 2007 (5 digits), legal form, group membership, company size, artisan company character and presence of employees. NOTE: the company size is defined on the basis of the employee class: micro (less than 10 employees), small (from 10 to 49), medium (from 50 to 259), large (250 or more employees). For further information on the census see the website http://dati-censimentoindustriaeservizi.istat.it. This dataset was released by the municipality of Milan.

This statistic shows the number of small businesses in the United States in 2012, by gender of the owner. The statistic includes only data on employer businesses. In 2012, about 3.3 million small businesses with paid employees in the United States were owned by men.