Key entrepreneur statistics for 2025, covering global numbers, demographics, education levels, new business applications, average age, and survival rates.

Comprehensive dataset containing 10 verified Entrepreneur locations in United States with complete contact information, ratings, reviews, and location data.

Canada CA: New Business Density: New Registrations per 1000 People Aged 15 to 64 data was reported at 9.834 Number in 2022. This records a decrease from the previous number of 10.334 Number for 2021. Canada CA: New Business Density: New Registrations per 1000 People Aged 15 to 64 data is updated yearly, averaging 8.241 Number from Dec 2017 (Median) to 2022, with 6 observations. The data reached an all-time high of 10.334 Number in 2021 and a record low of 0.204 Number in 2017. Canada CA: New Business Density: New Registrations per 1000 People Aged 15 to 64 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Canada – Table CA.World Bank.WDI: Businesses Registered Statistics. New businesses registered are the number of new limited liability corporations (or its equivalent) registered in the calendar year.;World Bank's Entrepreneurship Database (https://www.worldbank.org/en/programs/entrepreneurship).;Unweighted average;For cross-country comparability, only limited liability corporations that operate in the formal sector are included.

Australia New Business Density: New Registrations per 1000 People Aged 15 to 64 data was reported at 17.258 Number in 2022. This records a decrease from the previous number of 17.991 Number for 2021. Australia New Business Density: New Registrations per 1000 People Aged 15 to 64 data is updated yearly, averaging 13.482 Number from Dec 2006 (Median) to 2022, with 17 observations. The data reached an all-time high of 17.991 Number in 2021 and a record low of 9.703 Number in 2006. Australia New Business Density: New Registrations per 1000 People Aged 15 to 64 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Australia – Table AU.World Bank.WDI: Businesses Registered Statistics. New businesses registered are the number of new limited liability corporations (or its equivalent) registered in the calendar year.;World Bank's Entrepreneurship Database (https://www.worldbank.org/en/programs/entrepreneurship).;Unweighted average;For cross-country comparability, only limited liability corporations that operate in the formal sector are included.

Among *** Latin American countries surveyed in 2020, Guatemala had the highest new business ownership rate, at over ** percent. New business ownership rate refers to the percentage of population aged 18 to 64 who are currently an owner or manager of a new business. This includes owning and managing a running business that has paid salaries, wages, or any other payments to the owners for more than three months, but not more than 42 months. According to data from the Global Entrepreneurship Monitor, in 2020, the new business ownership rate in Brazil stood at **** percent.

The Annual Business Survey (ABS) provides information on selected economic and demographic characteristics for businesses and business owners by sex, ethnicity, race, and veteran status. Further, the survey measures research and development (for microbusinesses), new business topics such as innovation and technology, as well as other business characteristics. The U.S. Census Bureau and the National Center conduct the ABS jointly for Science and Engineering Statistics within the National Science Foundation. The ABS replaces the five-year Survey of Business Owners (SBO) for employer businesses, the Annual Survey of Entrepreneurs (ASE), the Business R&D and Innovation for Microbusinesses survey (BRDI-M), and the innovation section of the Business R&D and Innovation Survey (BRDI-S). https://www.census.gov/programs-surveys/abs.html

In 2023, experts in South Korea rated the national market dynamics for entrepreneurial activity highly, allocating a score of *** out of 10. In contrast, national experts in Japan rated local entrepreneurial education at school with a score of ***.

Introduction Black entrepreneurship in Canada makes important contributions to the Canadian economy, from fostering innovation to creating employment and building generational wealth. At least 1.3% of Black adults in Canada are business owners, relative to the 2.3% that are business owners from the entire Canadian population (Business Development Bank of Canada (BDC), 2025). Similarly, Black people account for 2.4% of all business owners in the country even though they only represent 4.3% of the entire population. Women account for 33% of these Black businesses, as compared to their 20% share in the country’s total business ownership (Diversity Institute, 2024), highlighting the potential of Black entrepreneurship for economic empowerment. However, Black businesses are faced with some systemic barriers that impede their ability to thrive, including but not limited to underrepresentation among entrepreneurs in Canada and limited access to finance, restricted networking opportunities, and insufficient specialized support programs (Gueye et al., 2022; Gueye, 2023; Diversity Institute, 2024). These challenges stem in part from a lack of comprehensive and reliable data on Black businesses and the absence of standardized definitions for key concepts such as Black entrepreneurs, Black enterprises, and Black entrepreneurship. Without a clear understanding of who constitutes a Black entrepreneur and the scale of their contributions, policymakers and stakeholders struggle to provide the necessary support and resources to advance this community. In fact, the development of policies and initiatives for Black businesses faces difficulties because current data about Black entrepreneurship remains fragmented and inconsistent, with different sources reporting different numbers (Grekou et al., 2021; Gueye, 2023). These discrepancies highlight the urgent need for a unified approach to data collection and analysis, as accurate and comprehensive data are critical to understanding the size, scope, and needs of Black entrepreneurs, enabling targeted policy interventions and resource allocation. Current data fragmentation problems combined with non-standardized definitions create a situation where Black business owners are frequently ignored or inaccurately classified or omitted (Coletto et al., 2021). The significance of this research, therefore, lies in its ability to resolve systemic barriers through an improved representation of Black entrepreneurs. This research aims to harmonise missing data points and set specific criteria to establish sound tools for policymakers, researchers, and community groups who want to better assist Black entrepreneurs. With this, Black-owned business support will be strengthened through targeted policies and programs that develop sustainable growth for these businesses in Canada. The main objectives of this study are threefold. The research seeks to reconcile disparate Black entrepreneurship statistics from Afrobiz.ca alongside Canadian Black Chamber of Commerce records and Statistics Canada databases. Also, the research seeks to develop unified criteria to define Black business owners together with their enterprises to improve both data collection precision and reporting consistency. Lastly, the research will establish procedures to build a standardized database of Black entrepreneurs by integrating present data sources and making sure both formal and informal businesses receive proper representation. These research efforts will establish fundamental principles for developing an inclusive and equal entrepreneurial system throughout Canada. Introduction L'entrepreneuriat noir au Canada apporte d'importantes contributions à l'économie canadienne, qu'il s'agisse de favoriser l'innovation, de créer des emplois ou de constituer un patrimoine générationnel. Au moins 1,3 % des adultes noirs au Canada sont propriétaires d'une entreprise, contre 2,3 % pour l'ensemble de la population canadienne (Banque de développement du Canada (BDC), 2025). De même, les Noirs représentent 2,4 % de tous les propriétaires d'entreprise du pays, alors qu'ils ne représentent que 4,3 % de la population totale. Les femmes représentent 33 % de ces entreprises noires, alors qu'elles représentent 20 % de l'ensemble des entreprises du pays (Diversity Institute, 2024), ce qui souligne le potentiel de l'entrepreneuriat noir en matière d'émancipation économique. Toutefois, les entreprises noires sont confrontées à certains obstacles systémiques qui entravent leur capacité à prospérer, notamment la sousreprésentation des entrepreneurs au Canada et l'accès limité au financement, les possibilités de réseautage restreintes et l'insuffisance des programmes de soutien spécialisés (Gueye et al., 2022 ; Gueye, 2023 ; Diversity Institute, 2024). Ces défis découlent en partie d'un manque de données complètes et fiables sur les entreprises noires et de l'absence de définitions normalisées pour des concepts clés tels que les entrepreneurs...

In the evaluation of the entrepreneurship framework conditions in Egypt, the country scored its highest on the physical infrastructure indicator, at ***. This was slightly higher than the Global Entrepreneurship Monitor (GEM) average. Moreover, the market dynamics upon which new businesses can enter the market obtained a rating of ***. Furthermore, the rest of the indicators received ratings lower than the GEM average, the lowest being the indicator on entrepreneurial education, at ***.

Financial overview and grant giving statistics of Entrepreneur Association Foundation

Italy IT: New Business Density: New Registrations per 1000 People Aged 15 to 64 data was reported at 2.648 Number in 2016. This records an increase from the previous number of 2.577 Number for 2015. Italy IT: New Business Density: New Registrations per 1000 People Aged 15 to 64 data is updated yearly, averaging 2.221 Number from Dec 2006 (Median) to 2016, with 11 observations. The data reached an all-time high of 2.648 Number in 2016 and a record low of 1.906 Number in 2012. Italy IT: New Business Density: New Registrations per 1000 People Aged 15 to 64 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Italy – Table IT.World Bank.WDI: Businesses Registered Statistics. New businesses registered are the number of new limited liability corporations registered in the calendar year.; ; World Bank's Entrepreneurship Survey and database (http://www.doingbusiness.org/data/exploretopics/entrepreneurship).; Unweighted average; For cross-country comparability, only limited liability corporations that operate in the formal sector are included.

Poland was the only OECD member state included here that had a female to male entrepreneurship ratio of more than one in 2022/2023, meaning that for every male entrepreneur, there were 1.07 female entrepreneurs. Perhaps somewhat surprising, the Scandinavian country Norway, known for its high levels of gender equality, was second bottom of the list together with Slovenia, Lithuania, and Greece.

In 2021, the United States was the leading country in the world in terms of supporting female entrepreneurship. The country scored 69.9 index points, with New Zealand and Canada close behind. Of the 65 countries included in the index, Bangladesh was given the lowest score with 32.5, followed by Egypt and Malawi.The Mastercard Index of Women Entrepreneurs (MIWE) rates women's conditions based on three components: women’s advancement outcomes, knowledge assets and financial access, and entrepreneurial supporting conditions.

Release Date: 2018-08-10.[NOTE: Includes firms with payroll at any time during 2016. Employment reflects the number of paid employees during the March 12 pay period. Data are based on Census administrative records, and the estimates of business ownership by gender, ethnicity, race, and veteran status are from the 2016 Annual Survey of Entrepreneurs. Detail may not add to total due to rounding or because a Hispanic firm may be of any race. Moreover, each owner had the option of selecting more than one race and therefore is included in each race selected. Respondent firms include all firms that responded to the characteristic(s) tabulated in this dataset and reported gender, ethnicity, race, or veteran status or that were publicly held or not classifiable by gender, ethnicity, race, or veteran status. Percentages are for respondent firms only and are not recalculated when the dataset is resorted. Percentages are always based on total reporting (defined above) within a gender, ethnicity, race, veteran status, and/or industry group for the characteristics tabulated in this dataset. Firms with more than one domestic establishment are counted in each geographic area and industry in which they operate, but only once in the U.S. and state totals for all sectors. For information on confidentiality protection, sampling error, nonsampling error, and definitions, see Survey Methodology.]..Table Name. . Statistics for U.S. Employer Firms by Regulations and Business Growth by Sector, Gender, Ethnicity, Race, Veteran Status, and Years in Business for the U.S., States, and Top 50 MSAs: 2016. ..Release Schedule. . This file was released in August 2018.. ..Key Table Information. . These data are related to all other 2016 ASE files.. Refer to the Methodology section of the Annual Survey of Entrepreneurs website for additional information.. ..Universe. . The universe for the 2016 Annual Survey of Entrepreneurs (ASE) includes all U.S. firms with paid employees operating during 2016 with receipts of $1,000 or more which are classified in the North American Industry Classification System (NAICS) sectors 11 through 99, except for NAICS 111, 112, 482, 491, 521, 525, 813, 814, and 92 which are not covered. Firms with more than one domestic establishment are counted in each geographic area and industry in which they operate, but only once in the U.S. total.. In this file, "respondent firms" refers to all firms that reported gender, ethnicity, race, or veteran status for at least one owner or returned a survey form with at least one item completed and were publicly held or not classifiable by gender, ethnicity, race, and veteran status.. ..Geographic Coverage. . The data are shown for:. . United States. States and the District of Columbia. The fifty most populous metropolitan areas. . ..Industry Coverage. . The data are shown for the total of all sectors (00) and the 2-digit NAICS code level.. ..Data Items and Other Identifying Records. . Statistics for U.S. Employer Firms by Regulations and Business Growth by Sector, Gender, Ethnicity, Race, Veteran Status, and Years in Business for the U.S., States, and Top 50 MSAs: 2016 contains data on:. . Number of firms with paid employees. Sales and receipts for firms with paid employees. Number of employees for firms with paid employees. Annual payroll for firms with paid employees. Percent of respondent firms with paid employees. Percent of sales and receipts of respondent firms with paid employees. Percent of number of employees of respondent firms with paid employees. Percent of annual payroll of respondent firms with paid employees. . The data are shown for:. . Gender, ethnicity, race and veteran status of respondent firms. . All firms. Female-owned. Male-owned. Equally male-/female-owned. Hispanic. Equally Hispanic/non-Hispanic. Non-Hispanic. White. Black or African American. American Indian and Alaska Native. Asian. Native Hawaiian and Other Pacific Islander. Some other race. Minority. Equally minority/nonminority. Nonminority. Veteran-owned. Equally veteran-/nonveteran-owned. Nonveteran-owned. All firms classifiable by gender, ethnicity, race, and veteran status. Publicly held and other firms not classifiable by gender, ethnicity, race, and veteran status. . . Years in business. . All firms. Firms less than 2 years in business. Firms with 2 to 3 years in business. Firms with 4 to 5 years in business. Firms with 6 to 10 years in business. Firms with 11 to 15 years in business. Firms ...

Graph and download economic data for Business Sector: Employment for All Workers (PRS84006011) from Q1 1948 to Q2 2025 about productivity, sector, business, employment, rate, and USA.

Unemployment is a problem that is often faced by every country, especially developing countries like Indonesia. The high level of unemployment in a country can have a negative impact on the economy of a country. Entrepreneurship is the potential to build the economy for the better. Duta Transformasi Insani Bandung is one of the training institutions that can develop entrepreneurial potential. This study used a qualitative descriptive method. Researchers found that in organizing training for young entrepreneurs, one of the training evaluation techniques was adopted, namely IPOO. In terms of Input regarding the recruitment of training participants, the Process in this program aims to become more independent and free from dependence. The Output and Outcomes of the training participants are motivated to start a business and make it easier for them to manage themselves better.

While older entrepreneurs are more likely to be male, white, and have higher levels of human, social, and financial capital, we know less about interest in later-life entrepreneurship. This study estimates entrepreneurial interest in a nationally representative sample of Americans aged 50 to 70 using partial proportional odds modeling. We estimate that more than 31 million older Americans have some interest in entrepreneurship and reveal key predictors of this interest (e.g., younger age). Importantly, the findings indicate that a more diverse group of older adults are interested in entrepreneurship than have become entrepreneurs, suggesting the need for additional research on the potential disparities between entrepreneurial interest and action in later life.

Entrepreneurship is risky. We study the risk facing a well-documented and important class of entrepreneurs, those backed by venture capital. Using a dynamic program, we calculate the certainty-equivalent of the difference between the cash rewards that entrepreneurs actually received over the past 20 years and the cash that entrepreneurs would have received from a risk-free salaried job. The payoff to a venture-backed entrepreneur comprises a below-market salary and a share of the equity value of the company when it goes public or is acquired. We find that the typical venture-backed entrepreneur received an average of $5.8 million in exit cash. Almost three-quarters of entrepreneurs receive nothing at exit and a few receive over a billion dollars. Because of the extreme dispersion of payoffs, an entrepreneur with a coefficient of relative risk aversion of two places a certainty equivalent value only slightly greater than zero on the distribution of outcomes she faces at the time of her company's launch. (JEL G24, G32, L26, M13)

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 represents a list of Minority and Women owned businesses as well as locations, services, and contact information. To leave feedback or ask a question about this dataset, please fill out the following form: Minority and Women's Business Enterprises (MBE/WBE) Certification Data feedback form.