This statistic shows the rate of new entrepreneurial activity per 100,000 adults in the United States from 2000 to 2021. In 2021, the rate of new entrepreneurs in the U.S. was 0.36 percent, or 360 individuals per 100,000 adults.

Get a full picture of today's entrepreneurial landscape with this list of entrepreneurial statistics updated and revised for 2025.

This statistic shows the rate of new entrepreneurs in the United States from 2000 to 2021, by education. In 2021, the rate of new entrepreneurs among U.S. residents with less than a high school education was **** percent, or *** new entrepreneurs for every 100,000 adults each month.

About 20% of entrepreneurs own or manage a business with their family members.

This statistic shows the rate of new entrepreneurs in the United States from 2000 to 2021, by age. In 2021, the rate of new entrepreneurs in the U.S. in the age group of 20 to 34 year olds was **** percent, or *** new entrepreneurs aged 20 to 34 years old for every 100,000 adults each month.

Currently, there are over 8 million minority-owned small businesses in the United States.

This statistic shows the total early-stage entrepreneurial activity (TEA) rate in Asian countries in 2021. An economy’s total early-stage entrepreneurial activity (TEA) rate is defined as the prevalence rate of individuals in the working age population who are actively involved in business startups, either in the phase in advance of the birth of the firm, or the phase spanning 42 months after the birth of the firm. In 2021, the early-stage entrepreneurial activity (TEA) rate in South Korea was **** percent.

This timeline measures entrepreneurialism in the United States by showing the number of businesses that were less than one year old and still in their start-up phase, from March 1994 to March 2023. In March 2023, there were around 1.05 million businesses that were less than 1 year old, a slight decrease from the year prior, when the number was around 1.07 million.

There are more than 31 million entrepreneurs in the US alone.

This statistic shows changes in the composition of new entrepreneurs in the United States as of April 2022, by age. In 2022, about * percent of entrepreneurs in the United States were aged between 20 and 30 years.

Introduction

Women Entrepreneurship Statistics: Women's entrepreneurship has experienced significant growth globally, with women initiating 49% of new businesses in 2024—a 69% increase since 2019. The Global Entrepreneurship Monitor (GEM) reports that women's startup activity rates rose from an average of 6.1% between 2001–2005 to 10.4% during 2021–2023 across 30 countries.

In India, women constitute approximately 14% of entrepreneurs, equating to around 8.05 million individuals. Despite women comprising over 50% of artisans, only 22% of Micro, Small, and Medium Enterprises (MSMEs) are women-owned, with ownership decreasing as enterprise size increases—from 22% in micro-enterprises to 7% in medium-sized businesses. Notably, women-owned rural enterprises in India employ 22–27 million people.

Globally, nearly one in three business owners is now a woman, reflecting steady growth from previous years. In certain countries, women comprise the majority of innovation entrepreneurs—for instance, 58.7% in Togo and 55.3% in Indonesia.

These statistics underscore the increasing role of women in entrepreneurship worldwide, highlighting both progress made and areas where further support and policy interventions are needed to bridge existing gaps. Therefore, from these Women Entrepreneurship Statistics, we shall shed more light on women entrepreneurship statistics and its various features.

The paper deals with the potential relationship between higher education and entrepreneurial activities. Universities and other higher education institutions could be seen as boosting entrepreneurship in the region. University graduates could be more often involved in starting up a new business and the university itself could commercialize their innovations by creating academic spin-off companies. The paper aims to examine the potential effect of higher education on the probability of starting a business as well as its further success. Based on the data for 40 EU and non-EU countries, retrieved from a Eurobarometer survey, we conducted probit and IV probit regressions. These have tested the assumed relationship between higher education and entrepreneurial activities. Our results strongly suggest that higher education can often be very beneficial for starting up a new business and this seems to be one of the factors determining the success of new businesses. Furthermore, those respondents who attended courses related to entrepreneurship appear to be more active in starting-up a business and this seems to be also positively correlated with the company's future success. Interestingly, university graduates from Brazil, Portugal and India in particular, tend to appreciate the role that their universities have played in acquiring the skills to enable them to run a business.

This statistic shows the rate of new entrepreneurs in the United States from 2000 to 2021, by race. In 2021, the rate of new entrepreneurs among Black U.S. residents was **** percent, or *** new entrepreneurs for every 100,000 adults each month.

There are more than 582 million entrepreneurs globally.

The Global Entrepreneurship Monitor [GEM] research program was developed to provide comparisons among countries related to participation of adults in the firm creation process. The initial data was assembled as a pretest of five countries in 1998 and by 2012 over 100 countries had been involved in the program. The initial design for the GEM initiative was based on the first US Panel Study of Entrepreneurial Dynamics, and by 2012 data from 1,827,513 individuals had been gathered in 563 national samples and 6 specialized regional samples. This dataset is a harmonized file capturing results from all of the surveys. The procedure has been to harmonize the basic items across all surveys in all years, followed by implementing a standardized transform to identify those active as nascent entrepreneurs in the start-up process, as owner-managers of new firms, or as owner-managers of established firms. Those identified as nascent entrepreneurs or new business owners are the basis for the Total Entrepreneurial Activity [TEA] or Total Early-Stage index. This harmonized, consolidated assessment not only facilitates comparisons across countries, but provides a basis for temporal comparisons for individual countries. Respondents were queried on the following main topics: general entrepreneurship, start-up activities, ownership and management of the firm, and business angels (angel investors). Respondents were initially screened by way of a series of general questions pertaining to starting a business, such as whether they were currently trying to start a new business, whether they knew anyone who had started a new business, whether they thought it was a good time to start a new business, as well as their perceptions of the income potential and the prestige associated with starting a new business. Demographic variables include respondent age, sex, and employment status.

Introduction

Small Business Statistics: Small businesses are often seen as the backbone of the economy, and rightly so. They bring fresh ideas to the market and create jobs for people who may not have opportunities in larger companies. From one-person businesses to significant job creators, small businesses are crucial to the economy.

However, with 82% failing because of cash flow problems and only 50% making it to the five-year mark, it’s clear that achieving success is not easy. Here are some Small Business Statistics that can help entrepreneurs understand the market better and position their products or services for success.

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The Global Entrepreneurship Monitor (GEM) was designed to capture various aspects of firm creation and entrepreneurship across countries. The data have been collected over a number of years (1998-2003) and include responses from 4,685 experts in over 38 countries and three subnational regions. This study seeks to measure the national attributes considered critical for new firm births and small firm growth. The dataset is a harmonized file capturing the results from all of the surveys. The expert, or key informant, questionnaire was improved and adjusted each year to increase the reliability of multi-item indices and provide for the addition of new dimensions. For each version of the questionnaire, respondents completed 70-80 standardized items that were the basis for 12-15 multi-item indices. Respondents were initially asked a series of general questions pertaining to starting a business, such as whether they were currently trying to start a new business, whether they knew anyone who had started a new business, and whether they thought it was a good time to do so. Respondents were also asked about the process of starting up a new business; whether they had done anything to start a new business in the past 12 months; whether they would own all, part, or none of the new business; how many people would be involved with the new business; what sort of business they were starting; and what they would sell. In addition, respondents identified the total start-up costs, the various sources of the start-up money, and why they were involved in the start-up. Respondents then answered a set of questions to assess the national conditions influencing entrepreneurial activity in their own country. In this respect, respondents provided their opinions on business and entrepreneurial education, the integration of new technology in businesses, the availability of financial support through government policies and programs, the availability of subcontractors, yearly changes in the economic market, and the physical infrastructure in their country. Views were also elicited from respondents about their national cultures in regard to entrepreneurial efforts and opportunities, attitudes towards entrepreneurs in general, women entrepreneurs and the resources available to them, and citizens' knowledge and experience with new businesses. They also gave their views on the Intellectual Property Rights (IPR) legislation and its enforcement in their respective countries. Respondents were then queried on the technological strengths of their country by ranking the top five sectors in which there has been development of the greatest number of technology-intensive start-up companies in the past ten years. Finally, respondents were asked the same general questions as those used in the GLOBAL ENTREPRENEURSHIP MONITOR (GEM): ADULT POPULATION SURVEY DATA SET, 1998-2003 (ICPSR 20320) in order to ascertain whether the opinions and behaviors of the current "expert" respondents differ from those of the general population. These questions included whether they were starting a new business, if there were opportunities for new businesses, funding sources for a new business, skills required to start a new business, shutting down a business, and whether a fear of failure was preventing the start of a new business. The dataset also contains variables that describe the respondent's gender, age, educational attainment, labor force status, the entrepreneurial areas in which they feel they have strong expertise, and the month and year the survey was conducted.

Entrepreneurs seem to be getting younger and younger.

This repository contains data and codes for the project titled "Emigration and Entrepreneurial Drain", shortly summarized as followed:Emigration of young, highly educated individuals may deprive origin countries of entrepreneurs. We identify exogenous variation in emigration from Italy by interacting past diaspora networks and current economic pull factors in destination countries. We find that a one standard deviation increase in the emigration rate generates a 4.9% decline in firms’ creation in the local labor market of origin. An accounting exercise decomposes the estimated effect into four components: subtraction of individuals with average entrepreneurial propensity, selection of young and college-educated among emigrants, negative spillovers on firm creation and selection on unobservable characteristics positively associated with entrepreneurship.