80 datasets found
  1. d

    Data from: Business Owners

    • catalog.data.gov
    • data.cityofchicago.org
    • +2more
    Updated Jun 29, 2025
    + more versions
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    data.cityofchicago.org (2025). Business Owners [Dataset]. https://catalog.data.gov/dataset/business-owners
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    Dataset updated
    Jun 29, 2025
    Dataset provided by
    data.cityofchicago.org
    Description

    This dataset contains the owner information for all the accounts listed in the Business License Dataset, and is sorted by Account Number. To identify the owner of a business, you will need the account number or legal name, which may be obtained from theBusiness Licenses dataset: https://data.cityofchicago.org/dataset/Business-Licenses/r5kz-chrr. Data Owner: Business Affairs & Consumer Protection. Time Period: 2002 to present. Frequency: Data is updated daily.

  2. Small Business Contact Data | North American Small Business Owners |...

    • datarade.ai
    Updated Oct 27, 2021
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    Success.ai (2021). Small Business Contact Data | North American Small Business Owners | Verified Contact Details from 170M Profiles | Best Price Guaranteed [Dataset]. https://datarade.ai/data-products/small-business-contact-data-north-american-small-business-o-success-ai
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    .bin, .json, .xml, .csv, .xls, .sql, .txtAvailable download formats
    Dataset updated
    Oct 27, 2021
    Dataset provided by
    Area covered
    Greenland, United States of America, Belize, Bermuda, Honduras, Mexico, Panama, Guatemala, Costa Rica, Saint Pierre and Miquelon
    Description

    Access B2B Contact Data for North American Small Business Owners with Success.ai—your go-to provider for verified, high-quality business datasets. This dataset is tailored for businesses, agencies, and professionals seeking direct access to decision-makers within the small business ecosystem across North America. With over 170 million professional profiles, it’s an unparalleled resource for powering your marketing, sales, and lead generation efforts.

    Key Features of the Dataset:

    Verified Contact Details

    Includes accurate and up-to-date email addresses and phone numbers to ensure you reach your targets reliably.

    AI-validated for 99% accuracy, eliminating errors and reducing wasted efforts.

    Detailed Professional Insights

    Comprehensive data points include job titles, skills, work experience, and education to enable precise segmentation and targeting.

    Enriched with insights into decision-making roles, helping you connect directly with small business owners, CEOs, and other key stakeholders.

    Business-Specific Information

    Covers essential details such as industry, company size, location, and more, enabling you to tailor your campaigns effectively. Ideal for profiling and understanding the unique needs of small businesses.

    Continuously Updated Data

    Our dataset is maintained and updated regularly to ensure relevance and accuracy in fast-changing market conditions. New business contacts are added frequently, helping you stay ahead of the competition.

    Why Choose Success.ai?

    At Success.ai, we understand the critical importance of high-quality data for your business success. Here’s why our dataset stands out:

    Tailored for Small Business Engagement Focused specifically on North American small business owners, this dataset is an invaluable resource for building relationships with SMEs (Small and Medium Enterprises). Whether you’re targeting startups, local businesses, or established small enterprises, our dataset has you covered.

    Comprehensive Coverage Across North America Spanning the United States, Canada, and Mexico, our dataset ensures wide-reaching access to verified small business contacts in the region.

    Categories Tailored to Your Needs Includes highly relevant categories such as Small Business Contact Data, CEO Contact Data, B2B Contact Data, and Email Address Data to match your marketing and sales strategies.

    Customizable and Flexible Choose from a wide range of filtering options to create datasets that meet your exact specifications, including filtering by industry, company size, geographic location, and more.

    Best Price Guaranteed We pride ourselves on offering the most competitive rates without compromising on quality. When you partner with Success.ai, you receive superior data at the best value.

    Seamless Integration Delivered in formats that integrate effortlessly with your CRM, marketing automation, or sales platforms, so you can start acting on the data immediately.

    Use Cases: This dataset empowers you to:

    Drive Sales Growth: Build and refine your sales pipeline by connecting directly with decision-makers in small businesses. Optimize Marketing Campaigns: Launch highly targeted email and phone outreach campaigns with verified contact data. Expand Your Network: Leverage the dataset to build relationships with small business owners and other key figures within the B2B landscape. Improve Data Accuracy: Enhance your existing databases with verified, enriched contact information, reducing bounce rates and increasing ROI. Industries Served: Whether you're in B2B SaaS, digital marketing, consulting, or any field requiring accurate and targeted contact data, this dataset serves industries of all kinds. It is especially useful for professionals focused on:

    Lead Generation Business Development Market Research Sales Outreach Customer Acquisition What’s Included in the Dataset: Each profile provides:

    Full Name Verified Email Address Phone Number (where available) Job Title Company Name Industry Company Size Location Skills and Professional Experience Education Background With over 170 million profiles, you can tap into a wealth of opportunities to expand your reach and grow your business.

    Why High-Quality Contact Data Matters: Accurate, verified contact data is the foundation of any successful B2B strategy. Reaching small business owners and decision-makers directly ensures your message lands where it matters most, reducing costs and improving the effectiveness of your campaigns. By choosing Success.ai, you ensure that every contact in your pipeline is a genuine opportunity.

    Partner with Success.ai for Better Data, Better Results: Success.ai is committed to delivering premium-quality B2B data solutions at scale. With our small business owner dataset, you can unlock the potential of North America's dynamic small business market.

    Get Started Today Request a sample or customize your dataset to fit your unique...

  3. Number of small and medium-sized enterprises in the United States 2014-2029

    • statista.com
    Updated Jul 3, 2024
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    Statista Research Department (2024). Number of small and medium-sized enterprises in the United States 2014-2029 [Dataset]. https://www.statista.com/topics/7702/coronavirus-impact-on-small-business-in-the-us/
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    Dataset updated
    Jul 3, 2024
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Statista Research Department
    Area covered
    United States
    Description

    The number of small and medium-sized enterprises in the United States was forecast to continuously decrease between 2024 and 2029 by in total 6.7 thousand enterprises (-2.24 percent). After the fourteenth consecutive decreasing year, the number is estimated to reach 291.94 thousand enterprises and therefore a new minimum in 2029. According to the OECD an enterprise is defined as the smallest combination of legal units, which is an organisational unit producing services or goods, that benefits from a degree of autonomy with regards to the allocation of resources and decision making. Shown here are small and medium-sized enterprises, which are defined as companies with 1-249 employees.The shown data are an excerpt of Statista's Key Market Indicators (KMI). The KMI are a collection of primary and secondary indicators on the macro-economic, demographic and technological environment in more than 150 countries and regions worldwide. All input data are sourced from international institutions, national statistical offices, and trade associations. All data has been are processed to generate comparable datasets (see supplementary notes under details for more information).

  4. Small Business Contact Data | North American Entrepreneurs | Verified...

    • datarade.ai
    Updated Feb 12, 2018
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    Success.ai (2018). Small Business Contact Data | North American Entrepreneurs | Verified Contact Data & Business Details | Best Price Guaranteed [Dataset]. https://datarade.ai/data-products/small-business-contact-data-north-american-entrepreneurs-success-ai
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    .bin, .json, .xml, .csv, .xls, .sql, .txtAvailable download formats
    Dataset updated
    Feb 12, 2018
    Dataset provided by
    Area covered
    Canada, Honduras, Nicaragua, El Salvador, Saint Pierre and Miquelon, Belize, Mexico, Greenland, Bermuda, Guatemala
    Description

    Success.ai delivers comprehensive access to Small Business Contact Data, tailored to connect you with North American entrepreneurs and small business leaders. Our extensive database includes verified profiles of over 170 million professionals, ensuring direct access to decision-makers in various industries. With AI-validated accuracy, continuously updated datasets, and a focus on compliance, Success.ai empowers businesses to enhance their marketing, sales, and recruitment efforts while staying ahead in a competitive market.

    Key Features of Success.ai's Small Business Contact Data:

    Extensive Coverage: Access profiles for small business owners and entrepreneurs across the United States, Canada, and Mexico. Our database spans multiple industries, from retail to technology, providing diverse business insights.

    Verified Contact Details: Each profile includes work emails, phone numbers, and firmographic data, enabling precise and effective outreach.

    Industry-Specific Data: Target key sectors such as e-commerce, professional services, healthcare, manufacturing, and more, with tailored datasets designed to meet your specific business needs.

    Real-Time Updates: Continuously updated to maintain a 99% accuracy rate, our data ensures that your campaigns are always backed by the most current information.

    Ethical and Compliant: Fully compliant with GDPR and other global data protection regulations, ensuring ethical use of all contact data.

    Why Choose Success.ai for Small Business Contact Data?

    Best Price Guarantee: Enjoy the most competitive pricing in the market, delivering exceptional value for comprehensive and verified contact data.

    AI-Validated Accuracy: Our advanced AI systems meticulously validate every data point to deliver unmatched reliability and precision.

    Customizable Data Solutions: From hyper-targeted regional datasets to comprehensive industry-wide insights, we tailor our offerings to meet your exact requirements.

    Scalable Access: Whether you're a startup or an enterprise, our solutions are designed to scale with your business needs.

    Comprehensive Use Cases for Small Business Contact Data:

    1. Targeted Marketing Campaigns:

    Refine your marketing strategy by leveraging verified contact details for small business owners. Execute highly personalized email, phone, and multi-channel campaigns with precision.

    1. Sales Prospecting:

    Identify and connect with decision-makers in key industries. Use detailed profiles to enhance your sales outreach, close deals faster, and build long-term client relationships.

    1. Recruitment and Talent Acquisition:

    Discover small business leaders and key players in specific industries to strengthen your recruitment pipeline. Access up-to-date profiles for sourcing top talent.

    1. Market Research:

    Gain insights into small business trends, operational challenges, and industry benchmarks. Leverage this data for competitive analysis and market positioning.

    1. Local Business Engagement:

    Foster partnerships with small businesses by identifying community leaders and entrepreneurial influencers in your target regions.

    APIs to Enhance Your Campaigns:

    Enrichment API: Integrate real-time updates into your CRM and marketing systems to maintain accurate and actionable contact data. Perfect for businesses looking to improve lead quality.

    Lead Generation API: Maximize your lead generation efforts with access to verified contact details, including emails and phone numbers. Tailored for precise targeting of small business decision-makers.

    Tailored Solutions for Diverse Needs:

    Marketing Agencies: Create targeted campaigns with verified data for small business owners across diverse sectors.

    Sales Teams: Drive revenue growth with detailed profiles and direct access to decision-makers.

    Recruiters: Build a talent pipeline with current and verified data on small business leaders and professionals.

    Consultants: Provide data-driven recommendations to clients by leveraging detailed small business insights.

    What Sets Success.ai Apart?

    170M+ Profiles: Access a vast and detailed database of small business owners and entrepreneurs.

    Global Standards Compliance: Rest assured knowing all data is ethically sourced and compliant with global privacy regulations.

    Flexible Integration: Seamlessly integrate data into your existing workflows with customizable delivery options.

    Dedicated Support: Our team of experts is always available to ensure you maximize the value of our solutions.

    Empower Your Outreach with Success.ai:

    Success.ai’s Small Business Contact Data is your gateway to building meaningful connections with North American entrepreneurs. Whether you're driving targeted marketing campaigns, enhancing sales prospecting, or conducting in-depth market research, our verified datasets provide the tools you need to succeed.

    Get started with Success.ai today and unlock the potential of verified Small Business ...

  5. 2012 Economic Surveys: SB1200CSCBO03 | Statistics for Owners of Respondent...

    • data.census.gov
    + more versions
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    ECN, 2012 Economic Surveys: SB1200CSCBO03 | Statistics for Owners of Respondent Firms by Owner's Primary Function in the Business by Gender, Ethnicity, Race, and Veteran Status for the U.S.: 2012 (ECNSVY Survey of Business Owners Survey of Business Owners Characteristics of Business Owners) [Dataset]. https://data.census.gov/table/SBOCBO2012.SB1200CSCBO03?q=Bomgardner++David+Owner++DB+Construction
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    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Authors
    ECN
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Time period covered
    2012
    Area covered
    United States
    Description

    Release Date: 2016-02-23.[NOTE: Includes firms with paid employees and firms with no paid employees. Data are based on the 2012 Economic Census, and the estimates of business ownership by gender, ethnicity, race, and veteran status are from the 2012 Survey of Business Owners. 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 for at least one owner and were not publicly held or not classifiable by gender, ethnicity, race, and veteran status. The 2012 Survey of Business Owners asked for information for up to four persons owning the largest percentage(s) of the business. Percentages are for owners of 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.].Data User Notice posted on September 1, 2016: Census Bureau staff identified a processing error that affects selected data from the 2012 Survey of Business Owners and Self-Employed Persons (SBO) Statistics, Characteristics of Business Owners tables. As a result, we removed the 2012 "All owners of respondent firms" line from the table. This processing error did not affect other categories in this table. Removed values can be derived by adding the Total reporting and Item not reported rows...Table Name. . Statistics for Owners of Respondent Firms by Owner's Primary Function in the Business by Gender, Ethnicity, Race, and Veteran Status for the U.S.: 2012. ..Release Schedule. . The data in this file was released in February 2016.. ..Key Table Information. . This data is related to all other 2012 SBO files.. Refer to the Methodology section of the Survey of Business Owners website for additional information.. ..Universe. . The universe for the 2012 Survey of Business Owners (SBO) includes all U.S. firms operating during 2012 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.. For Characteristics of Business Owners (CBO) data, all estimates are of owners of firms responding to the SBO. That is, estimates are based only on firms providing gender, ethnicity, race, or veteran status; or firms not classifiable by gender, ethnicity, race, and veteran status that returned an SBO questionnaire with at least one question answered. The SBO questionnaire provided space for up to four owners to report their characteristics.. CBO data are not representative of all owners of all firms operating in the United States. The data do not represent all business owners in the United States.. ..Geographic Coverage. . The data are shown at the U.S. level only.. ..Industry Coverage. . The data are shown for the total of all sectors (00) and at the 2-digit NAICS code level.. ..Data Items and Other Identifying Records. . Statistics for Owners of Respondent Firms by Owner's Primary Function in the Business by Gender, Ethnicity, Race, and Veteran Status for the U.S.: 2012 contains data on:. . Number of owners of respondent firms, respondent firms with paid employees, and respondent firms with no paid employees. Percent of owners of respondent firms, respondent firms with paid employees, and respondent firms with no paid employees. . The data are published by the owner's primary functions in the business in 2012 and by gender, ethnicity, race, and veteran status.. ..Sort Order. . Data are presented in ascending levels by:. . Geography (GEO_ID). NAICS code (NAICS2012). Ethnicity, race, and veteran status (CBOGROUP). Gender status (CBOSEX). Owner's primary functions in the business in 2012 (PFNCT). . The data are sorted on underlying control field values, so control fields may not appear in alphabetical order.. ..FTP Download. . Download the entire SB1200CSCBO03 table at: https://www2.census.gov/programs-surveys/sbo/data/2012/SB1200CSCBO03.zip. ..Contact Information. . To contact the Survey of Busines...

  6. Annual Business Survey (ABS), United States

    • icpsr.umich.edu
    Updated Nov 18, 2021
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    Inter-university Consortium for Political and Social Research [distributor] (2021). Annual Business Survey (ABS), United States [Dataset]. https://www.icpsr.umich.edu/web/NADAC/studies/38267
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    Dataset updated
    Nov 18, 2021
    Dataset provided by
    Inter-university Consortium for Political and Social Researchhttps://www.icpsr.umich.edu/web/pages/
    License

    https://www.icpsr.umich.edu/web/ICPSR/studies/38267/termshttps://www.icpsr.umich.edu/web/ICPSR/studies/38267/terms

    Area covered
    United States
    Description

    The Annual Business Survey (ABS) is conducted jointly by the U.S. Census Bureau and the National Center for Science and Engineering Statistics within the National Science Foundation. It provides information on selected economic and demographic characteristics for businesses and business owners by sex, ethnicity, race, and veteran status. The ABS can be used to examine demographic characteristics of U.S. business-owners in arts-related sectors such as arts, entertainment, and recreation; information services; professional, scientific, and technical services; educational services; manufacturing; and retail trade. The 2022 ABS data tables include tables on design activities (tables 62-65), which encompass arts, entertainment, and recreation industries. These tables can be freely viewed and downloaded from the NCSES website: Table 62: Companies with design activities, by industry: 2021 Table 63: Companies with design activities, by company size: 2021 Table 64: Companies that provided resources for design activities, by industry: 2021 Table 65: Companies that provided resources for design activities, by company size: 2021

  7. p

    Data from: Business Establishments

    • data.peelregion.ca
    • arc-gis-hub-home-arcgishub.hub.arcgis.com
    Updated Dec 31, 2007
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    Regional Municipality of Peel (2007). Business Establishments [Dataset]. https://data.peelregion.ca/datasets/RegionofPeel::business-establishments
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    Dataset updated
    Dec 31, 2007
    Dataset authored and provided by
    Regional Municipality of Peel
    License

    https://www.statcan.gc.ca/eng/reference/licencehttps://www.statcan.gc.ca/eng/reference/licence

    Area covered
    Description

    This table contains data from the December release of Canadian Business Counts for 2007 until the latest complete year. The data includes the year, 2-digit North American Industry Classification System (NAICS) code, and a count of the number of businesses by number of employees. The table data shows the number of businesses categorized by the number of employees they have. Please ensure you read the notes provided below, as there is very important information on classification and comparability. NotesStatistics Canada advises users not to use these data as a time series. Further, the counts may reflect some of the business openings and closures caused by the COVID-19 pandemic, although they will not be fully represented as the evolving resumption or permanent closure of businesses may not yet be fully processed and confirmed by Statistics Canada's Business Register (The Daily — Canadian business counts, December 2021 (statcan.gc.ca)).Changes in methodology or in business industrial classification strategies used by Statistics Canada's Business Register can create increases or decreases in the number of active businesses reported in the data on Canadian business patterns. As a result, these data do not represent changes in the business population over time. Statistics Canada recommends users not to use these data as a time series. Beginning in December 2014, there were several important changes that were made:

    The data appear in two separate series, one covering locations with employees, the other covering locations without employees. The second series corresponds to locations previously coded to the employment category called "indeterminate." A new North American Industrial Classification System (NAICS) category has been added to include locations that have not yet received a NAICS code: unclassified. It represents an additional 78,718 locations with employees and 313,107 locations without employees. The second series, locations without employees, also includes locations that were not previously included in tables but that meet the criteria used to define the Business Register coverage. The impact of the change will be the inclusion of approximately 600,000 additional locations.

    Before 2014, the following notes apply:

    The establishments in the "Indeterminate" category do not maintain an employee payroll, but may have a workforce which consists of contracted workers, family members or business owners. However, the Business Register does not have this information available, and has therefore assigned the establishments to an "Indeterminate" category. This category also includes employers who did not have employees in the last 12 months. Please note that the employment size ranges are based on data derived from payroll remittances. As such, it should be viewed solely as a business stratification variable. Its primary purpose is to improve the efficiency of samples selected to conduct statistical surveys. It should not be used in any manner to compile industry employment estimates. Employment, grouped in employment size ranges, is more often than not an estimation of the annual maximum number of employees. For example, a measure of "10 employees" could represent "10 full-time employees", "20 part-time employees" or any other combination.For more information refer to Statistics Canada's Definitions and Concepts used in Business Register.

  8. Nonemployer Statistics

    • icpsr.umich.edu
    Updated Jun 26, 2015
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    United States. Bureau of the Census (2015). Nonemployer Statistics [Dataset]. https://www.icpsr.umich.edu/web/NADAC/studies/36218
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    Dataset updated
    Jun 26, 2015
    Dataset provided by
    Inter-university Consortium for Political and Social Researchhttps://www.icpsr.umich.edu/web/pages/
    Authors
    United States. Bureau of the Census
    License

    https://www.icpsr.umich.edu/web/ICPSR/studies/36218/termshttps://www.icpsr.umich.edu/web/ICPSR/studies/36218/terms

    Area covered
    United States
    Description

    Nonemployer Statistics is an annual series that provides statistics on U.S. businesses with no paid employees or payroll, are subject to federal income taxes, and have receipts of $1,000 or more ($1 or more for the Construction sector). This program is authorized by the United States Code, Titles 13 and 26. Also, the collection provides data for approximately 450 North American Industry Classification System (NAICS) industries at the national, state, county, metropolitan statistical area, and combined statistical area geography levels. The majority of NAICS industries are included with some exceptions as follows: crop and animal production; investment funds, trusts, and other financial vehicles; management of companies and enterprises; and public administration. Data are also presented by Legal Form of Organization (LFO) (U.S. and state only) as filed with the Internal Revenue Service (IRS). Most nonemployers are self-employed individuals operating unincorporated businesses (known as sole proprietorships), which may or may not be the owner's principal source of income. Nonemployers Statistics features nonemployers in several arts-related industries and occupations, including the following: Arts, entertainment, and recreation (NAICS Code 71) Performing arts companies Spectator sports Promoters of performing arts, sports, and similar events Independent artists, writers, and performers Museums, historical sites, and similar institutions Amusement parks and arcades Professional, scientific, and technical services (NAICS Code 54) Architectural services Landscape architectural services Photographic services Retail trade (NAICS Code 44-45) Sporting goods, hobby, and musical instrument stores Sewing, needlework, and piece goods stores Book stores Art dealers Nonemployer Statistics data originate from statistical information obtained through business income tax records that the Internal Revenue Service (IRS) provides to the Census Bureau. The data are processed through various automated and analytical review to eliminate employers from the tabulation, correct and complete data items, remove anomalies, and validate geography coding and industry classification. Prior to publication, the noise infusion method is applied to protect individual businesses from disclosure. Noise infusion was first applied to Nonemployer Statistics in 2005. Prior to 2005, data were suppressed using the complementary cell suppression method. For more information on the coverage and methods used in Nonemployer Statistics, refer to NES Methodology. The majority of all business establishments in the United States are nonemployers, yet these firms average less than 4 percent of all sales and receipts nationally. Due to their small economic impact, these firms are excluded from most other Census Bureau business statistics (the primary exception being the Survey of Business Owners). The Nonemployers Statistics series is the primary resource available to study the scope and activities of nonemployers at a detailed geographic level. For complementary statistics on the firms that do have paid employees, refer to the County Business Patterns. Additional sources of data on small businesses include the Economic Census, and the Statistics of U.S. Businesses. The annual Nonemployer Statistics data are available approximately 18 months after each reference year. Data for years since 2002 are published via comma-delimited format (csv) for spreadsheet or database use, and in the American FactFinder (AFF). For help accessing the data, please refer to the Data User Guide.

  9. United States US: Start-Up Procedures to Register a Business

    • ceicdata.com
    + more versions
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    CEICdata.com, United States US: Start-Up Procedures to Register a Business [Dataset]. https://www.ceicdata.com/en/united-states/company-statistics/us-startup-procedures-to-register-a-business
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    Dataset provided by
    CEIC Data
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 1, 2013 - Dec 1, 2017
    Area covered
    United States
    Variables measured
    Enterprises Statistics
    Description

    United States US: Start-Up Procedures to Register a Business data was reported at 6.000 Number in 2017. This stayed constant from the previous number of 6.000 Number for 2016. United States US: Start-Up Procedures to Register a Business data is updated yearly, averaging 6.000 Number from Dec 2013 (Median) to 2017, with 5 observations. The data reached an all-time high of 6.000 Number in 2017 and a record low of 6.000 Number in 2017. United States US: Start-Up Procedures to Register a Business data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s United States – Table US.World Bank.WDI: Company Statistics. Start-up procedures are those required to start a business, including interactions to obtain necessary permits and licenses and to complete all inscriptions, verifications, and notifications to start operations. Data are for businesses with specific characteristics of ownership, size, and type of production.; ; World Bank, Doing Business project (http://www.doingbusiness.org/).; Unweighted average; Data are presented for the survey year instead of publication year.

  10. Share of SMBs who use AI for data analysis in the U.S. 2023

    • statista.com
    Updated Jun 26, 2025
    + more versions
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    Statista (2025). Share of SMBs who use AI for data analysis in the U.S. 2023 [Dataset]. https://www.statista.com/statistics/1427839/smbs-ai-use-data-analysis-usa/
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    Dataset updated
    Jun 26, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Aug 10, 2023 - Aug 23, 2023
    Area covered
    United States
    Description

    During an August 2023 survey, approximately ** percent of surveyed small or medium business (SMB) owners used artificial intelligence (AI) for data analysis. ** percent of respondents said they would consider using AI in the future, while another ** percent stated they were not planning on using AI for this purpose.

  11. u

    Private sector business counts by majority ownership, third quarter of 2024

    • data.urbandatacentre.ca
    • www150.statcan.gc.ca
    • +4more
    Updated Sep 30, 2024
    + more versions
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    (2024). Private sector business counts by majority ownership, third quarter of 2024 [Dataset]. https://data.urbandatacentre.ca/dataset/gov-canada-37a9f805-ff61-492e-ab0f-a4b191d4fe59
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    Dataset updated
    Sep 30, 2024
    License

    Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
    License information was derived automatically

    Description

    Private sector business counts by majority ownership, by North American Industry Classification System (NAICS), business employment size, type of business, business activity and majority ownership, third quarter of 2024.

  12. w

    Dataset of book subjects that contain Absentee ownership : business...

    • workwithdata.com
    Updated Nov 7, 2024
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    Work With Data (2024). Dataset of book subjects that contain Absentee ownership : business enterprise in recent times : the case of America [Dataset]. https://www.workwithdata.com/datasets/book-subjects?f=1&fcol0=j0-book&fop0=%3D&fval0=Absentee+ownership+:+business+enterprise+in+recent+times+:+the+case+of+America&j=1&j0=books
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    Dataset updated
    Nov 7, 2024
    Dataset authored and provided by
    Work With Data
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    This dataset is about book subjects. It has 2 rows and is filtered where the books is Absentee ownership : business enterprise in recent times : the case of America. It features 10 columns including number of authors, number of books, earliest publication date, and latest publication date.

  13. d

    Listing of Active Businesses

    • catalog.data.gov
    • data.lacity.org
    • +2more
    Updated Jun 29, 2025
    + more versions
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    data.lacity.org (2025). Listing of Active Businesses [Dataset]. https://catalog.data.gov/dataset/listing-of-active-businesses
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    Dataset updated
    Jun 29, 2025
    Dataset provided by
    data.lacity.org
    Description

    Listing of all active businesses currently registered with the Office of Finance. An "active" business is defined as a registered business whose owner has not notified the Office of Finance of a cease of business operations. Update Interval: Monthly. NAICS Codes are from 2007 NAICS: https://www.census.gov/cgi-bin/sssd/naics/naicsrch?chart=2007

  14. T

    United States Nfib Business Optimism Index

    • tradingeconomics.com
    • ru.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Jun 10, 2025
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    TRADING ECONOMICS (2025). United States Nfib Business Optimism Index [Dataset]. https://tradingeconomics.com/united-states/nfib-business-optimism-index
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    xml, csv, json, excelAvailable download formats
    Dataset updated
    Jun 10, 2025
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 31, 1975 - May 31, 2025
    Area covered
    United States
    Description

    NFIB Business Optimism Index in the United States increased to 98.80 points in May from 95.80 points in April of 2025. This dataset provides - United States Nfib Business Optimism Index - actual values, historical data, forecast, chart, statistics, economic calendar and news.

  15. u

    Private sector business counts by majority ownership, fourth quarter of 2023...

    • data.urbandatacentre.ca
    • www150.statcan.gc.ca
    • +3more
    Updated Oct 1, 2024
    + more versions
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    (2024). Private sector business counts by majority ownership, fourth quarter of 2023 [Dataset]. https://data.urbandatacentre.ca/dataset/gov-canada-428e28e7-dcdb-4418-8721-e9a56ee72bc8
    Explore at:
    Dataset updated
    Oct 1, 2024
    License

    Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
    License information was derived automatically

    Description

    Private sector business counts by majority ownership, by North American Industry Classification System (NAICS), business employment size, type of business, business activity and majority ownership, fourth quarter of 2023.

  16. Small Business Contact Data | Small Businesses Worldwide | Detailed Business...

    • datarade.ai
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    Success.ai, Small Business Contact Data | Small Businesses Worldwide | Detailed Business Profiles & Contact Data | Best Price Guaranteed [Dataset]. https://datarade.ai/data-providers/success-ai/data-products/small-business-contact-data-small-businesses-worldwide-de-success-ai
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    .bin, .json, .xml, .csv, .xls, .sql, .txtAvailable download formats
    Dataset provided by
    Area covered
    Djibouti, Trinidad and Tobago, Lao People's Democratic Republic, United Kingdom, Belize, Kazakhstan, Holy See, Hong Kong, Micronesia (Federated States of), French Southern Territories
    Description

    Success.ai’s Small Business Contact Data provides reliable, verified access to detailed information on small businesses worldwide. Sourced from over 170 million verified professional profiles and 30 million company profiles, this dataset includes essential firmographic data, employee counts, geographic footprints, and direct contact information for owners, partners, and decision-makers in small and emerging enterprises.

    Whether you’re expanding into new markets, targeting niche industries, or offering products and services tailored to small business needs, Success.ai ensures your outreach and strategic planning are backed by accurate, continuously updated, and AI-validated data. All of this is supported by our Best Price Guarantee, ensuring maximum value for your investment.

    Why Choose Success.ai’s Small Business Contact Data?

    1. Comprehensive Contact Information
      Access verified work emails, direct phone numbers, and social profiles of small business owners, managing directors, general managers, and key decision-makers.
      AI-driven validation ensures 99% accuracy, enabling confident communication and eliminating wasted outreach.

    2. Global Reach and Market Coverage
      Includes profiles from startups, family-owned businesses, boutiques, local service providers, specialty shops, and independent consultancies across North America, Europe, Asia-Pacific, South America, and the Middle East.
      Understand local market conditions, cultural nuances, and business environments to refine your targeting and product offerings.

    3. Continuously Updated Datasets
      Real-time updates reflect changes in ownership, staffing, service lines, and growth trajectories.
      Stay current with evolving small business ecosystems, adapting strategies as market conditions and customer needs shift.

    4. Ethical and Compliant
      Adheres to GDPR, CCPA, and other global data privacy regulations, ensuring responsible data usage, legal compliance, and respect for personal boundaries.

    Data Highlights:

    • 170M+ Verified Professional Profiles: Identify key decision-makers, partners, and influencers within small businesses worldwide.
    • 30M Company Profiles: Gain insights into revenue ranges, employee headcounts, industry classifications, and geographic distributions.
    • Firmographic Data: Understand operational scopes, product lines, service offerings, and supplier relationships central to small business operations.
    • Verified Decision-Maker Contacts: Connect directly with individuals who oversee purchasing, strategic partnerships, vendor selection, and business development.

    Key Features of the Dataset:

    1. Small Business Decision-Maker Profiles
      Identify and engage with owners, founders, managing partners, and executive directors who set business strategies, approve budgets, and direct growth initiatives.
      Target professionals guiding marketing plans, operational improvements, and technology adoption.

    2. Advanced Filters for Precision Targeting
      Filter by industry, region, company size, revenue bracket, or business model (B2B, B2C, online, brick-and-mortar) to reach the right audience.
      Tailor campaigns to match unique market conditions, seasonal demands, and regional preferences.

    3. AI-Driven Enrichment
      Profiles are enriched with actionable data, allowing you to personalize messages, highlight tailored value propositions, and improve engagement outcomes.

    Strategic Use Cases:

    1. Sales and Lead Generation
      Present products, services, or consulting solutions to small business owners focused on operational efficiency, cost savings, or market expansion.
      Build relationships with decision-makers who value personalized service, trusted suppliers, and scalable solutions.

    2. Market Research and Product Development
      Analyze trends among small businesses, identify common challenges, and refine product features or pricing models.
      Detect emerging niches, regional gaps, and opportunities to create offerings that resonate with tight-knit communities.

    3. Marketing Campaigns and Partnerships
      Target marketing managers or external consultants guiding brand awareness, social media presence, and local advertising.
      Develop alliances with agencies, associations, or networks supporting small enterprises, amplifying reach and credibility.

    4. Recruitment and Talent Solutions
      Offer staffing services, training programs, or HR solutions to small businesses aiming to build skilled teams, improve retention, or navigate talent shortages.
      Connect with owners or HR leads who value cost-effective hiring and workforce optimization.

    Why Choose Success.ai?

    1. Best Price Guarantee
      Secure top-quality verified data at competitive prices, ensuring maximum ROI for outreach initiatives, product launches, and strategic partnerships.

    2. Seamless Integration
      Integrate verified small business data into CRM systems or mark...

  17. Facebook Global State of Small Business Survey 2021 - Argentina, Australia,...

    • catalog.ihsn.org
    Updated Nov 30, 2021
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    Facebook (2021). Facebook Global State of Small Business Survey 2021 - Argentina, Australia, Belgium, Brazil, Canada, Colombia, Egypt, France, Germany, Ghana, India, Indon [Dataset]. https://catalog.ihsn.org/catalog/9887
    Explore at:
    Dataset updated
    Nov 30, 2021
    Dataset provided by
    Facebookhttps://www.fb.com/
    OECD
    World Bank
    Time period covered
    2021
    Area covered
    Egypt, Germany, Colombia, Argentina, Belgium, Canada, India, Brazil, Ghana, Australia
    Description

    Abstract

    To gain a deeper understanding of the perspectives, challenges, and opportunities for small and medium sized businesses (SMBs) around the world during the COVID-19 pandemic, Facebook and partners collaborate to collect and share timely information with the broader community. The State of Small Business (SoSB) Survey surveys SMBs, employees, and consumers from approximately 30 countries across the globe. This combination of survey respondents allows us to evaluate how the impacts on SMBs, their employees, and their clients have developed throughout 2021.

    Geographic coverage

    Argentina Australia Belgium Brazil Canada Colombia Egypt France Germany Ghana India Indonesia Ireland Israel Italy Kenya Mexico Nigeria Pakistan Philippines Poland Portugal Russian Federation (the) South Africa Spain Taiwan Turkey United Kingdom of Great Britain and Northern Ireland United States of America (the) Vietnam

    Analysis unit

    The study describes small and medium-sized business owners, their employees and consumers.

    Universe

    The survey uses a random sample of SMB leaders with Facebook Page administrator privileges and of the general population of Facebook users. Therefore, the sample covered in the survey is representative of SMB leaders surveyable through Facebook at the country level.

    Kind of data

    Sample survey data [ssd]

    Sampling procedure

    The survey reaches a random sample of SMB leaders with Facebook Page administrator privileges and of the general population of Facebook users. A random sample of firms, representing the target population in each country, is selected to respond to the survey. To achieve better representation of the broader small business population on Facebook, Facebook also weights our results based on known characteristics of the Facebook Page admin population.

    Mode of data collection

    Internet [int]

    Research instrument

    Questions cover a range of topics depending on the survey wave such as business characteristics, challenges, financials and strategy in addition to custom modules related to regulation, access to finance, digital technologies, reduction in revenues, business closures, reduction of employees and challenges/needs of the business

    Response rate

    Response rates to online surveys vary widely depending on a number of factors including survey length, region, strength of the relationship with invitees, incentive mechanisms, invite copy, interest of respondents in the topic and survey design. To achieve better representation of the broader small business population on Facebook, Facebookwe also weights our results based on known characteristics of the Facebook Page admin population.

    Note: Response rates are calculated as the number of respondents who completed the survey divided by the total number of SMBs invited.

    Sampling error estimates

    Any survey data is prone to several forms of error and biases that need to be considered to understand how closely the results reflect the intended population. In particular, the following components of the total survey error are noteworthy: Sampling error is a natural characteristic of every survey based on samples and reflects the uncertainty in any survey result that is attributable to the fact that not the whole population is surveyed.Other factors beyond sampling error that contribute to such potential differences are frame or coverage error (sampling frame of Page owners does not include all relevant businesses but also may include individuals that don’t represent businesses), and nonresponse error.

    Note that the sample is meant to reflect the population of businesses on Facebook, not the population of small businesses in general. This group of digitized SMEs is itself a community worthy of deeper consideration and of considerable policy interest. However, care should be taken when extrapolating to the population of SMEs in general. Moreover, future work should evaluate the external validity of the sample. Particularly, respondents should be compared to the broader population of SMEs on Facebook, and the economy as a whole.

  18. Small Business Contact Data | North American Entrepreneurs | Verified...

    • data.success.ai
    Updated Feb 12, 2018
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    Success.ai (2018). Small Business Contact Data | North American Entrepreneurs | Verified Contact Data & Business Details | Best Price Guaranteed [Dataset]. https://data.success.ai/products/small-business-contact-data-north-american-entrepreneurs-success-ai
    Explore at:
    Dataset updated
    Feb 12, 2018
    Dataset provided by
    Area covered
    United States
    Description

    Access Small Business Contact Data for North America with Success.ai. Includes phone numbers, work emails, and verified profiles for over 170M entrepreneurs. Best price guaranteed.

  19. United States Employment: Management, Business & Financial Operations

    • ceicdata.com
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    CEICdata.com, United States Employment: Management, Business & Financial Operations [Dataset]. https://www.ceicdata.com/en/united-states/current-population-survey-employment/employment-management-business--financial-operations
    Explore at:
    Dataset provided by
    CEIC Data
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    May 1, 2017 - Apr 1, 2018
    Area covered
    United States
    Variables measured
    Employment
    Description

    United States Employment: Management, Business & Financial Operations data was reported at 25,231.000 Person th in Jun 2018. This records a decrease from the previous number of 25,784.000 Person th for May 2018. United States Employment: Management, Business & Financial Operations data is updated monthly, averaging 19,605.000 Person th from Jan 1983 (Median) to Jun 2018, with 426 observations. The data reached an all-time high of 25,992.000 Person th in Mar 2018 and a record low of 11,609.000 Person th in Feb 1983. United States Employment: Management, Business & Financial Operations data remains active status in CEIC and is reported by Bureau of Labor Statistics. The data is categorized under Global Database’s USA – Table US.G013: Current Population Survey: Employment.

  20. 2016 Economic Surveys: SE1600CSCBO08 | Statistics for Owners of Respondent...

    • data.census.gov
    Updated Aug 16, 2018
    + more versions
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    ECN (2018). 2016 Economic Surveys: SE1600CSCBO08 | Statistics for Owners of Respondent Employer Firms by Owner's Age by Sector, Gender, Ethnicity, Race, Veteran Status, and Years in Business for the U.S., States, and Top 50 MSAs: 2016 (ECNSVY Annual Survey of Entrepreneurs Annual Survey of Entrepreneurs Characteristics of Business Owners) [Dataset]. https://data.census.gov/table/ASECBO2016.SE1600CSCBO08?tid=ASECBO2016.SE1600CSCBO08
    Explore at:
    Dataset updated
    Aug 16, 2018
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Authors
    ECN
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Time period covered
    2016
    Area covered
    United States
    Description

    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 for at least one owner and were not publicly held or not classifiable by gender, ethnicity, race, and veteran status. The 2016 Annual Survey of Entrepreneurs asked for information for up to four persons owning the largest percentage(s) of the business. Percentages are for owners of 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 Owners of Respondent Employer Firms by Owner's Age 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.. For Characteristics of Business Owners (CBO) data, all estimates are of owners of firms responding to the ASE. That is, estimates are based only on firms providing gender, ethnicity, race, or veteran status; or firms not classifiable by gender, ethnicity, race, and veteran status that returned an ASE online questionnaire with at least one question answered. The ASE online questionnaire provided space for up to four owners to report their characteristics.. CBO data are not representative of all owners of all firms operating in the United States. The data do not represent all business owners in the United States.. ..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 Owners of Respondent Employer Firms by Owner's Age 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 owners of respondent firms with paid employees. Percent of number of owners of respondent firms with paid employees. . The data are shown for:. . Gender, ethnicity, race and veteran status of owners of respondent firms. . All owners of respondent firms. Female. Male. Hispanic. Non-Hispanic. White. Black or African American. American Indian and Alaska Native. Asian. Native Hawaiian and Other Pacific Islander. Some other race. Minority. Nonminority. Veteran. Nonveteran. . . 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 with 16 or more years in business. . . Owner's age as of December 31, 2016. . Under 25. 25 to 34. 35 to 44. 45 to 54. 55 to ...

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data.cityofchicago.org (2025). Business Owners [Dataset]. https://catalog.data.gov/dataset/business-owners

Data from: Business Owners

Related Article
Explore at:
Dataset updated
Jun 29, 2025
Dataset provided by
data.cityofchicago.org
Description

This dataset contains the owner information for all the accounts listed in the Business License Dataset, and is sorted by Account Number. To identify the owner of a business, you will need the account number or legal name, which may be obtained from theBusiness Licenses dataset: https://data.cityofchicago.org/dataset/Business-Licenses/r5kz-chrr. Data Owner: Business Affairs & Consumer Protection. Time Period: 2002 to present. Frequency: Data is updated daily.

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