100+ datasets found
  1. Financial performance of family businesses in CEE 2018-2023

    • statista.com
    Updated Jul 11, 2025
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    Statista (2025). Financial performance of family businesses in CEE 2018-2023 [Dataset]. https://www.statista.com/statistics/1393450/family-business-financial-performance-cee/
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    Dataset updated
    Jul 11, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    CEE
    Description

    In a survey conducted in 2023, over ** percent of family business owners in Central and Eastern Europe (CEE) reported a positive sales revenue growth rate in the previous financial year. This share was more than ** percent higher than in 2022. In that year's survey, ** percent of respondents indicated a reduction in sales.

  2. Growth ambitions of family businesses in CEE 2023

    • statista.com
    Updated Jul 18, 2025
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    Statista (2025). Growth ambitions of family businesses in CEE 2023 [Dataset]. https://www.statista.com/statistics/1393456/family-business-ambitions-cee/
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    Dataset updated
    Jul 18, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2023
    Area covered
    CEE
    Description

    In a survey conducted in 2023, eight out of ten family business owners in Central and Eastern Europe (CEE) reported that their companies aspired to grow in the following two years. Furthermore, nearly ********* of respondents stated that their businesses had an ambition to consolidate in that period.

  3. Key challenges faced by family business owners in Europe

    • statista.com
    Updated Jul 11, 2025
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    Statista (2025). Key challenges faced by family business owners in Europe [Dataset]. https://www.statista.com/statistics/934117/main-concerns-for-family-business-owners-in-europe/
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    Dataset updated
    Jul 11, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    May 7, 2017 - Aug 23, 2017
    Area covered
    Europe
    Description

    This statistic displays the main concerns for family business owners in Europe. Of respondents, ** percent advised that they identify the war for talent and skilled labor as the most important issues they face.

  4. 2015 Economic Surveys: SE1500CSCB02 | Statistics for U.S. Employer Firms...

    • data.census.gov
    Updated Jul 15, 2017
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    ECN (2017). 2015 Economic Surveys: SE1500CSCB02 | Statistics for U.S. Employer Firms That Were Family-Owned by Sector, Gender, Ethnicity, Race, Veteran Status, and Years in Business for the U.S., States, and Top 50 MSAs: 2015 (ECNSVY Annual Survey of Entrepreneurs Annual Survey of Entrepreneurs Characteristics of Businesses) [Dataset]. https://data.census.gov/table/ASECB2015.SE1500CSCB02?tid=ASECB2015.SE1500CSCB02
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    Dataset updated
    Jul 15, 2017
    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
    2015
    Area covered
    United States
    Description

    Release Date: 2017-07-13.[NOTE: Includes firms with payroll at any time during 2015. 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 2015 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 That Were Family-Owned by Sector, Gender, Ethnicity, Race, Veteran Status, and Years in Business for the U.S., States, and Top 50 MSAs: 2015. ..Release Schedule. . This file was released in July 2017.. ..Key Table Information. . These data are related to all other 2015 ASE files.. Refer to the Methodology section of the Annual Survey of Entrepreneurs website for additional information.. ..Universe. . The universe for the 2015 Annual Survey of Entrepreneurs (ASE) includes all U.S. firms with paid employees operating during 2015 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 That Were Family-Owned by Sector, Gender, Ethnicity, Race, Veteran Status, and Years in Business for the U.S., States, and Top 50 MSAs: 2015 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 with 16 or more years in b...

  5. 2012 Economic Surveys: SB1200CSCB04 | Statistics for All U.S. Firms That...

    • data.census.gov
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    ECN, 2012 Economic Surveys: SB1200CSCB04 | Statistics for All U.S. Firms That Were Family-Owned by Industry, Gender, Ethnicity, Race, and Veteran Status for the U.S.: 2012 (ECNSVY Survey of Business Owners Survey of Business Owners Characteristics of Business) [Dataset]. https://data.census.gov/table/SBOCB2012.SB1200CSCB04?q=CONSTRUCTION%20ET%20CETERA
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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 or that were publicly held or not classifiable by gender, ethnicity, race, and 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 All U.S. Firms That Were Family-Owned by Industry, 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.. 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 at the U.S. level only.. ..Industry Coverage. . The data are shown for the total of all sectors (NAICS 00) and at the 2-digit NAICS code level.. ..Data Items and Other Identifying Records. . Statistics for All U.S. Firms That Were Family-Owned by Industry, Gender, Ethnicity, Race, and Veteran Status for the U.S.: 2012 contains data on:. . Number of firms, firms with paid employees, and firms with no paid employees. Sales and receipts for all firms, firms with paid employees, and firms with no paid employees. Number of employees for firms with paid employees. Annual payroll for firms with paid employees. Percent of all respondent firms, respondent firms with paid employees, and respondent firms with no paid employees. Percent of sales and receipts of all respondent firms, respondent firms with paid employees, and respondent firms with no 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 published by whether the business was family-owned in 2012 and by gender, ethnicity, race, and veteran status.. ..Sort Order. . Data are presented in ascending levels by:. . NAICS code (NAICS2012). Gender, ethnicity, race, and veteran status (CBGROUP). Whether the business was family-owned in 2012 (FAMOWN). . The data are sorted on underlying control field values, so control fields may not appear in alphabetical order.. ..FTP Download. . Download the entire SB1200CSCB04 table at: https://www2.census.gov/programs-surveys/sbo/data/2012/SB1200CSCB04.zip. ..Contact Information. . To contact the Survey of Business Owners staff:. . Visit the website at www.census.gov/programs-surveys/sbo.html.. Email general, nonsecure, and unencrypted messages to ewd.survey.of.business.owners@census.gov.. Call 301.763.3316 between 7 a.m. and 5 p.m. (EST), Monday through Friday.. Write to:. U.S. Census Bureau. Survey of Business Owners. 4600 Silver Hill Road. Washington, DC 20233. . . ...Source: U.S. Census Bureau, 2012 Survey of Business Owners.Note: The data in this file are based on the 2012 Economic Census, Survey of Business Owners (SBO). To maintain confidentiality...

  6. Italy: family run business among SMEs 2018, by type and sector

    • statista.com
    Updated Aug 30, 2024
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    Statista (2024). Italy: family run business among SMEs 2018, by type and sector [Dataset]. https://www.statista.com/statistics/989507/family-administrations-among-smes-by-sector-in-italy/
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    Dataset updated
    Aug 30, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2018
    Area covered
    Italy
    Description

    This statistic depicts the share of family run small and medium-sized enterprises (SMEs) in Italy in 2018, by type of administration and by sector. According to data, building enterprises held the largest share of SME companies having a family management with 78.4 percent, of which 49.6 percent were completely controlled by the family.

  7. g

    Small Family Firms in Eurasia

    • search.gesis.org
    • pollux-fid.de
    • +1more
    Updated Aug 6, 2020
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    Hann, Chris (2020). Small Family Firms in Eurasia [Dataset]. http://doi.org/10.4232/1.13559
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    application/x-spss-sav(833497), application/x-stata-dta(780803)Available download formats
    Dataset updated
    Aug 6, 2020
    Dataset provided by
    GESIS search
    GESIS Data Archive
    Authors
    Hann, Chris
    License

    https://www.gesis.org/en/institute/data-usage-termshttps://www.gesis.org/en/institute/data-usage-terms

    Time period covered
    Jan 1, 2016 - Dec 31, 2016
    Area covered
    Eurasia
    Variables measured
    Q54 - Are you ..., Q58_7 - I am SINGLE, Q58_1 - I am MARRIED, Q58_5 - I am WIDOWED, za_nr - study number, Q58_3 - I am DIVORCED, city - City of survey, Q58_4 - I am SEPARATED, Q58_9 - I am *no answer*, ID - Identification number, and 462 more
    Description

    The data was collected for the ERC project ´Realising Eurasia: Civilisation and Moral Economy in the 21st Century´. The project examined small family businesses in medium-sized cities in eight countries of the Eurasian landmass (China, Denmark, Germany, Hungary, India, Myanmar, Russia, Turkey). While the project focused on detailed ethnographic research, the survey data complemented the qualitative data. The survey data were collected in 2016 by the project´s researchers (one researcher in one city per country). The companies were selected by each researcher according to a targeted sampling procedure. The company owners (or those chosen by the owner) completed the questionnaire either alone or together with the researcher. The content of the questionnaire consists of questions on family, work and business, politics and economy, and household.

    Topics: 1. Family, morality and values in life: importance of family, friends, leisure time, politics, work and religion in life; something else which is very important (open); feeling of freedom of choice and control over the way life turns out; further comments by respondent; important and desirable qualities for a son, for a daughter and for an employee (independence, hard work, feeling of responsibility, imagination, tolerance and respect for other people, thrift, saving money and things, determination, perseverance, religious faith, unselfishness, obedience, good manners, self-control, environmental awareness, ambition, max 5); number of items marked (max 5); qualities the respondent would most want for his daughter and for his son (e.g. to get good job qualifications, well paid job, children and a good family life, etc.); number of items marked (max 5); justification of selected actions (claiming government benefits to which someone is not entitled, avoiding a fare on public transport, stealing, cheating on taxes, someone accepting a bribe in the course of their duties, lying in your own interest, paying cash for services to avoid paying tax, buying something you know was stolen); most important and second most important reason why there are people in the country who live in need (unlucky, laziness and lack of willpower, injustice in the country, an inevitable part of modern progress, lack of religious faith, no moral virtues); attitude towards work (to fully develop your talents, you need to have a job, it is humiliating to receive money without having to work for it, people who don’t work turn lazy, work is a duty towards society, work should always come first, even if it means less spare time); agreement with the following statements (when jobs are scarce, men should have more right to a job than women, and employers should give priority to people of the country over immigrants; if a women earns more money than her husband, it’s almost certain to cause problems, having a job is the best way for a woman to be an independent person); gender roles (one of the main goals in life has been to make my parents proud, when a mother works to pay, the children suffer, men do better in business than women do, being a housewife is just as fulfilling as working for pay, both partners in a relationship should contribute to a household’s income); activities the respondent would do with 40% more time (e.g. run own business in the spare time, use the spare time to study, spend the time with family and friends, spend the time on hobbies, do something for local community, etc.).

    1. Politics and economy: views on various issues (income inequality, ownership of business, responsibility, competition, hard work, wealth, unemployed people, state control); justification of higher payment for one of two employees doing the same job; reasons for justification of higher payment (more work experience, if person has worked longer in this firm, higher level of formal qualifications, older, man, married, dependents (e.g. children, parents to take care of), comes from this country); number of items marked; most important and second most important aims for the development of the country over the next ten years (maintaining order in the nation, giving people more say in important government decisions, a high level of economic growth, reducing inequality in the country, improving the country’s global position, named other goals, marked more than one); further comments by respondent/ researcher; people would try to take advantage of you vs. people would try to be fair; confidence in institutions (churc...
  8. s

    Family Run Business

    • searchlogistics.com
    Updated Apr 1, 2025
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    (2025). Family Run Business [Dataset]. https://www.searchlogistics.com/learn/statistics/entrepreneurial-statistics/
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    Dataset updated
    Apr 1, 2025
    License

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

    Description

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

  9. Global share of expected impacts on family business sales from COVID-19 in...

    • statista.com
    Updated Jul 9, 2025
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    Statista (2025). Global share of expected impacts on family business sales from COVID-19 in 2020 [Dataset]. https://www.statista.com/statistics/1218196/global-family-business-impacts-covid-19/
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    Dataset updated
    Jul 9, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Oct 5, 2020 - Dec 11, 2020
    Area covered
    Worldwide
    Description

    In a 2021 online survey, around ** percent of family business owners said that they expected 2020 to show a growth in sales before the COVID-19 pandemic. However, as the results of the appearance of the coronavirus, only ** percent of the respondents still believed in the growth of sales.

  10. m

    Business model innovation in family firms

    • data.mendeley.com
    Updated Feb 26, 2024
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    Angel L Merono-Cerdan (2024). Business model innovation in family firms [Dataset]. http://doi.org/10.17632/7h6p2hf65f.1
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    Dataset updated
    Feb 26, 2024
    Authors
    Angel L Merono-Cerdan
    License

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

    Description

    Data from 112 family firms representative of the regional economy are presented. The companies are also associated with the Murcian Association of Family Businesses (Amefmur). The collaboration with this organization has made it possible to obtain very valuable and representative information thanks to the support provided. The collection of information was carried out through an electronic survey. These data could be especially useful for establishing business recommendations for this type of companies and for analyzing other possible interrelationships of the variables available in the database

  11. f

    Data from: Influence of Family Culture on Enterprise Risk Management in...

    • scielo.figshare.com
    tiff
    Updated May 30, 2023
    + more versions
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    Elisane Brandt; Márcia Zanievicz da Silva; Franciele Beck (2023). Influence of Family Culture on Enterprise Risk Management in Brazilian Companies [Dataset]. http://doi.org/10.6084/m9.figshare.20020299.v1
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    tiffAvailable download formats
    Dataset updated
    May 30, 2023
    Dataset provided by
    SciELO journals
    Authors
    Elisane Brandt; Márcia Zanievicz da Silva; Franciele Beck
    License

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

    Description

    ABSTRACT Context: family involvement creates specific goals that include family interests and values, and is used to pursue the family’s vision, creating effective corporate governance and risk management practices. Objective: our objective is to evaluate the relationship between family influence and enterprise risk management in Brazilian family businesses. Method: data from 142 family businesses was analyzed using descriptive statistics and structural equation modeling. The construct of enterprise risk management comprised: identification, evaluation, response, and communication. Family influence was captured by power, experience, and culture. Results: the results broaden the understanding that, among the three family dimensions investigated, culture is the one that better explains risk management practices. Conclusions: we concluded that the higher the level of family culture, the higher the level of attention to enterprise risk management.

  12. Desire to pass on ownership of family business to the next generation China...

    • statista.com
    Updated Jul 8, 2025
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    Statista (2025). Desire to pass on ownership of family business to the next generation China 2018 [Dataset]. https://www.statista.com/statistics/1023812/china-desire-to-pass-on-family-business-to-the-next-generation/
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    Dataset updated
    Jul 8, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Apr 2018 - Aug 2018
    Area covered
    China
    Description

    This statistic shows the desire of China's family businesses to pass on the management and/or ownership of their business to the next generation as of 2018. According to the survey results, ** percent of China's family businesses were willing to pass on both the management and ownership of their businesses to the next generation.

  13. 2014 Economic Surveys: SE1400CSCB07 | Statistics for U.S. Employer Firms by...

    • data.census.gov
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    ECN, 2014 Economic Surveys: SE1400CSCB07 | Statistics for U.S. Employer Firms by Sources of Capital Used to Start or Acquire the Business by Sector, Gender, Ethnicity, Race, Veteran Status, and Years in Business for the U.S., States, and Top 50 MSAs: 2014 (ECNSVY Annual Survey of Entrepreneurs Annual Survey of Entrepreneurs Characteristics of Businesses) [Dataset]. https://data.census.gov/table/ASECB2014.SE1400CSCB07?q=NEVADA%20SOURCES%20INC
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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
    2014
    Area covered
    United States
    Description

    Release Date: 2016-09-23..Table Name. . Statistics for U.S. Employer Firms by Sources of Capital Used to Start or Acquire the Business by Sector, Gender, Ethnicity, Race, Veteran Status, and Years in Business for the U.S., States, and Top 50 MSAs: 2014. ..Release Schedule. . This file was released in September 2016.. ..Key Table Information. . These data are related to all other 2014 ASE files.. Refer to the Methodology section of the Annual Survey of Entrepreneurs website for additional information.. ..Universe. . The universe for the 2014 Annual Survey of Entrepreneurs (ASE) includes all U.S. firms with paid employees operating during 2014 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 top 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 Sources of Capital Used to Start or Acquire the Business by Sector, Gender, Ethnicity, Race, Veteran Status, and Years in Business for the U.S., States, and Top 50 MSAs: 2014 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 with 16 or more years in business. . . Sources of capital used to start or acquire the business. . All firms. Personal/family savings of owner(s). Personal/family assets other than savings of owner(s). Personal/family home equity loan. Personal credit card(s) carrying balances. Business credit card(s) carrying balances. Business loan from federal, state, or local government. Government-guaranteed business loan from a bank or financial institution. Business loan from a bank or financial institution. Business loan/investment from family/friends. Investment by venture capitalist(s). Grants. Other source(s) of capital. Don't know. None needed. Total reporting. Item not reported. . . . ..Sort Order. . Data are presented in ascending levels by:. . Geography (GEO_ID). NAICS code (NAICS2012). Gender, ethnicity, race, and veteran status (ASECB). Years in business (YIBSZFI). Sources of capital used to start or acquire the business (STRTSRCE). . The data are sorted on underlying control field values, so control fields may not a...

  14. 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
    Lao People's Democratic Republic, Belize, Hong Kong, Holy See, Kazakhstan, Trinidad and Tobago, Micronesia (Federated States of), French Southern Territories, Djibouti, United Kingdom
    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...

  15. m

    Daughters in family business

    • data.mendeley.com
    Updated May 8, 2018
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    anna akhmedova (2018). Daughters in family business [Dataset]. http://doi.org/10.17632/35wfthzzz9.1
    Explore at:
    Dataset updated
    May 8, 2018
    Authors
    anna akhmedova
    License

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

    Description

    Data collected to study motivation and barriers that daughters in family business face. Data from Spain.

  16. p

    Family Planning Centers in United States - 4,144 Verified Listings Database

    • poidata.io
    csv, excel, json
    Updated Aug 1, 2025
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    Poidata.io (2025). Family Planning Centers in United States - 4,144 Verified Listings Database [Dataset]. https://www.poidata.io/report/family-planning-center/united-states
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    excel, csv, jsonAvailable download formats
    Dataset updated
    Aug 1, 2025
    Dataset provided by
    Poidata.io
    Area covered
    United States
    Description

    Comprehensive dataset of 4,144 Family planning centers in United States as of August, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.

  17. A

    Australia Percentage of Households: Multiple Family: Source of Income: Own...

    • ceicdata.com
    Updated Jan 15, 2025
    + more versions
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    CEICdata.com (2025). Australia Percentage of Households: Multiple Family: Source of Income: Own Unincorporated Business Income [Dataset]. https://www.ceicdata.com/en/australia/survey-of-income-and-housing-percentage-of-households-by-source-of-income/percentage-of-households-multiple-family-source-of-income-own-unincorporated-business-income
    Explore at:
    Dataset updated
    Jan 15, 2025
    Dataset provided by
    CEICdata.com
    License

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

    Time period covered
    Jun 1, 2004 - Jun 1, 2020
    Area covered
    Australia
    Variables measured
    Household Income and Expenditure Survey
    Description

    Australia Percentage of Households: Multiple Family: Source of Income: Own Unincorporated Business Income data was reported at 1.100 % in 2020. This records a decrease from the previous number of 3.000 % for 2018. Australia Percentage of Households: Multiple Family: Source of Income: Own Unincorporated Business Income data is updated yearly, averaging 3.000 % from Jun 2004 (Median) to 2020, with 9 observations. The data reached an all-time high of 5.200 % in 2004 and a record low of 1.100 % in 2020. Australia Percentage of Households: Multiple Family: Source of Income: Own Unincorporated Business Income data remains active status in CEIC and is reported by Australian Bureau of Statistics. The data is categorized under Global Database’s Australia – Table AU.H040: Survey of Income and Housing: Percentage of Households: by Source of Income.

  18. d

    ReadinformationForShareDuse

    • data.go.kr
    xml
    Updated May 18, 2025
    + more versions
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    (2025). ReadinformationForShareDuse [Dataset]. https://www.data.go.kr/en/data/15107285/openapi.do
    Explore at:
    xmlAvailable download formats
    Dataset updated
    May 18, 2025
    License

    https://data.go.kr/ugs/selectPortalPolicyView.dohttps://data.go.kr/ugs/selectPortalPolicyView.do

    Description
    • The Ministry of the Interior and Safety publishes the 'Administrative Safety Statistical Yearbook' every year by compiling statistical data from the headquarters of the Ministry of the Interior and Safety and its affiliated organizations in accordance with the 'Ministry of the Interior and Safety Statistical Management Regulations'. - The statistical information by field included in the 'Administrative Safety Statistical Yearbook' is provided as an open API so that it can be used in various fields in both the public and private sectors. - The open API in question is statistics on 'Administrative Information Joint Use' and 'Joint Use Information Viewing' among the 'Digital Government' included in the 'Administrative Safety Statistical Yearbook'. It provides statistical information on the status of joint use information viewing by year. - In addition, the 'Administrative Safety Statistical Yearbook' can be downloaded in PDF format from the Ministry of the Interior and Safety website at Policy Data > Statistics > Statistical Yearbook/Subject Statistics.
  19. o

    Replication data for: Family Firms and Labor Relations

    • openicpsr.org
    Updated Oct 12, 2019
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    Holger M. Mueller; Thomas Philippon (2019). Replication data for: Family Firms and Labor Relations [Dataset]. http://doi.org/10.3886/E114199V1
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    Dataset updated
    Oct 12, 2019
    Dataset provided by
    American Economic Association
    Authors
    Holger M. Mueller; Thomas Philippon
    Description

    This paper examines the relationship between family ownership and the quality of labor relations. We find that family ownership is more prevalent in countries in which labor relations are hostile, consistent with the notion that family firms are particularly effective at coping with difficult labor relations. Our results are robust to controlling for minority shareholder protection and other potential determinants of family ownership. To address endogeneity issues, we show that, controlling for industry- and country-fixed effects, industries that are more labor dependent have relatively more family ownership in countries with worse labor relations. (JEL G32, G34, J52, J53)

  20. 2014 Economic Surveys: SE1400CSCB10 | Statistics for U.S. Employer Firms by...

    • data.census.gov
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    ECN, 2014 Economic Surveys: SE1400CSCB10 | Statistics for U.S. Employer Firms by New Funding Relationships Attempted by Sector, Gender, Ethnicity, Race, Veteran Status, and Years in Business for the U.S., States, and Top 50 MSAs: 2014 (ECNSVY Annual Survey of Entrepreneurs Annual Survey of Entrepreneurs Characteristics of Businesses) [Dataset]. https://data.census.gov/table/ASECB2014.SE1400CSCB10?q=Gordon%20Fung%20MD
    Explore at:
    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
    2014
    Area covered
    United States
    Description

    Release Date: 2016-09-23..Table Name. . Statistics for U.S. Employer Firms by New Funding Relationships Attempted by Sector, Gender, Ethnicity, Race, Veteran Status, and Years in Business for the U.S., States, and Top 50 MSAs: 2014. ..Release Schedule. . This file was released in September 2016.. ..Key Table Information. . These data are related to all other 2014 ASE files.. Refer to the Methodology section of the Annual Survey of Entrepreneurs website for additional information.. ..Universe. . The universe for the 2014 Annual Survey of Entrepreneurs (ASE) includes all U.S. firms with paid employees operating during 2014 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 top 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 New Funding Relationships Attempted by Sector, Gender, Ethnicity, Race, Veteran Status, and Years in Business for the U.S., States, and Top 50 MSAs: 2014 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 with 16 or more years in business. . . New capital funding relationships the business attempted to establish in 2014. . All firms. Other owner(s) (if applicable): Received total amount requested. Other owner(s) (if applicable): Did not receive total amount requested. Other owner(s) (if applicable): Did not attempt to establish this new funding relationship. Family, friends, or employees: Received total amount requested. Family, friends, or employees: Did not receive total amount requested. Family, friends, or employees: Did not attempt to establish this new funding relationship. Banks, credit unions, or other financial institutions: Received total amount requested. Banks, credit unions, or other financial institutions: Did not receive total amount requested. Banks, credit unions, or other financial institutions: Did not attempt to establish this new funding relationship. Home equity loans in name of business owners: Received total amount requested. Home equity loans in name of business owners: Did not receive total amount requested. Home equity loans in name of business owners: Did not attempt to establish this new funding relationship. Credit cards: Received...

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Statista (2025). Financial performance of family businesses in CEE 2018-2023 [Dataset]. https://www.statista.com/statistics/1393450/family-business-financial-performance-cee/
Organization logo

Financial performance of family businesses in CEE 2018-2023

Explore at:
Dataset updated
Jul 11, 2025
Dataset authored and provided by
Statistahttp://statista.com/
Area covered
CEE
Description

In a survey conducted in 2023, over ** percent of family business owners in Central and Eastern Europe (CEE) reported a positive sales revenue growth rate in the previous financial year. This share was more than ** percent higher than in 2022. In that year's survey, ** percent of respondents indicated a reduction in sales.

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