100+ datasets found
  1. Business population estimates 2015

    • gov.uk
    Updated Oct 14, 2015
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    Department for Business, Innovation & Skills (2015). Business population estimates 2015 [Dataset]. https://www.gov.uk/government/statistics/business-population-estimates-2015
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    Dataset updated
    Oct 14, 2015
    Dataset provided by
    GOV.UKhttp://gov.uk/
    Authors
    Department for Business, Innovation & Skills
    Description

    Business population estimates for the UK and regions provides the only official estimate of the total number of private sector businesses in the UK at the start of each year.

    These estimates produced by the Department for Business, Innovation and Skills cover a wider range of businesses than Office for National Statistics (ONS) outputs, which report on VAT traders and PAYE employers.

  2. 2015 Economic Surveys: SE1500CSCB08 | Statistics for U.S. Employer Firms by...

    • data.census.gov
    Updated Jul 15, 2017
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    ECN (2017). 2015 Economic Surveys: SE1500CSCB08 | Statistics for U.S. Employer Firms by Total Amount 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: 2015 (ECNSVY Annual Survey of Entrepreneurs Annual Survey of Entrepreneurs Characteristics of Businesses) [Dataset]. https://data.census.gov/table/ASECB2015.SE1500CSCB08?q=Spectrum+Dynamics+Inc
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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 by Total Amount 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: 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 by Total Amount 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: 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. ...

  3. Individual entrepreneur count in Russia 2015-2024

    • statista.com
    Updated Jul 22, 2024
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    Statista (2024). Individual entrepreneur count in Russia 2015-2024 [Dataset]. https://www.statista.com/statistics/1235248/number-of-individual-entrepreneurs-in-russia/
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    Dataset updated
    Jul 22, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Russia
    Description

    Over four million people in Russia were registered as individual entrepreneurs as of 2024. The number of individual entrepreneurs has been increasing since 2020.

  4. 2015 County Business Patterns

    • catalog.data.gov
    • gimi9.com
    Updated Jul 19, 2023
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    U.S. Census Bureau (2023). 2015 County Business Patterns [Dataset]. https://catalog.data.gov/dataset/2015-county-business-patterns
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    Dataset updated
    Jul 19, 2023
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Description

    County Business Patterns (CBP) is an annual series that provides sub-national economic data by industry. This series includes the number of establishments, employment during the week of March 12, first quarter payroll, and annual payroll. This data is useful for studying the economic activity of small areas, analyzing economic changes over time, and as a benchmark for other statistical series, surveys, and databases between economic censuses. Businesses use the data for analyzing market potential, measuring the effectiveness of sales and advertising programs, setting sales quotas, and developing budgets. Government agencies use the data for administration and planning.

  5. Top benefits of business intelligence and data analytics to U.S. businesses...

    • statista.com
    Updated Dec 1, 2015
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    Statista (2015). Top benefits of business intelligence and data analytics to U.S. businesses 2015 [Dataset]. https://www.statista.com/statistics/500145/united-states-survey-business-intelligence-data-analytics-benefits/
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    Dataset updated
    Dec 1, 2015
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2015
    Area covered
    United States
    Description

    The statistic shows the leading benefits of business intelligence and data analytics to business organizations in the United States, according to a 2015 survey conducted by the Harvard Business Review Analytics Service. As of 2015, ** percent of respondents felt that the ability to access data any time, anywhere was an important benefit of business intelligence and data analytics to their organization.

  6. 2015 Economic Surveys: SE1500CSCBO05 | Statistics for Owners of Respondent...

    • data.census.gov
    Updated Jul 15, 2017
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    ECN (2017). 2015 Economic Surveys: SE1500CSCBO05 | Statistics for Owners of Respondent Employer Firms by Whether the Business Provided the Owner's Primary Source of Personal Income 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 Business Owners) [Dataset]. https://data.census.gov/table/ASECBO2015.SE1500CSCBO05?q=Propipe+Plumbing+Rooter
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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 for at least one owner and were not publicly held or not classifiable by gender, ethnicity, race, and veteran status. The 2015 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 Whether the Business Provided the Owner's Primary Source of Personal Income 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.. 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 Whether the Business Provided the Owner's Primary Source of Personal Income 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 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. . . Whether the business ...

  7. 2015 Economic Surveys: SE1500CSCB01 | Statistics for U.S. Employer Firms by...

    • data.census.gov
    Updated Jul 15, 2017
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    ECN (2017). 2015 Economic Surveys: SE1500CSCB01 | Statistics for U.S. Employer Firms by Number of Owners 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.SE1500CSCB01?q=SE1500&y=2015
    Explore at:
    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 by Number of Owners 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 by Number of Owners 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 busines...

  8. Turkey TR: New Business Density: New Registrations per 1000 People Aged 15...

    • ceicdata.com
    Updated Jan 15, 2025
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    CEICdata.com (2025). Turkey TR: New Business Density: New Registrations per 1000 People Aged 15 to 64 [Dataset]. https://www.ceicdata.com/en/turkey/businesses-registered-statistics/tr-new-business-density-new-registrations-per-1000-people-aged-15-to-64
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    Dataset updated
    Jan 15, 2025
    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, 2006 - Dec 1, 2016
    Area covered
    Turkey
    Variables measured
    Enterprises Statistics
    Description

    Turkey TR: New Business Density: New Registrations per 1000 People Aged 15 to 64 data was reported at 1.178 Number in 2016. This records a decrease from the previous number of 1.250 Number for 2015. Turkey TR: New Business Density: New Registrations per 1000 People Aged 15 to 64 data is updated yearly, averaging 1.055 Number from Dec 2006 (Median) to 2016, with 11 observations. The data reached an all-time high of 1.250 Number in 2015 and a record low of 0.786 Number in 2012. Turkey TR: New Business Density: New Registrations per 1000 People Aged 15 to 64 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Turkey – Table TR.World Bank.WDI: Businesses Registered Statistics. New businesses registered are the number of new limited liability corporations registered in the calendar year.; ; World Bank's Entrepreneurship Survey and database (http://www.doingbusiness.org/data/exploretopics/entrepreneurship).; Unweighted average; For cross-country comparability, only limited liability corporations that operate in the formal sector are included.

  9. Hungary HU: New Business Density: New Registrations per 1000 People Aged 15...

    • ceicdata.com
    Updated Jan 15, 2025
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    CEICdata.com (2025). Hungary HU: New Business Density: New Registrations per 1000 People Aged 15 to 64 [Dataset]. https://www.ceicdata.com/en/hungary/businesses-registered-statistics/hu-new-business-density-new-registrations-per-1000-people-aged-15-to-64
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    Dataset updated
    Jan 15, 2025
    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, 2006 - Dec 1, 2016
    Area covered
    Hungary
    Variables measured
    Enterprises Statistics
    Description

    Hungary HU: New Business Density: New Registrations per 1000 People Aged 15 to 64 data was reported at 3.382 Number in 2016. This records an increase from the previous number of 3.162 Number for 2015. Hungary HU: New Business Density: New Registrations per 1000 People Aged 15 to 64 data is updated yearly, averaging 4.184 Number from Dec 2006 (Median) to 2016, with 11 observations. The data reached an all-time high of 7.644 Number in 2011 and a record low of 3.162 Number in 2015. Hungary HU: New Business Density: New Registrations per 1000 People Aged 15 to 64 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Hungary – Table HU.World Bank.WDI: Businesses Registered Statistics. New businesses registered are the number of new limited liability corporations registered in the calendar year.; ; World Bank's Entrepreneurship Survey and database (http://www.doingbusiness.org/data/exploretopics/entrepreneurship).; Unweighted average; For cross-country comparability, only limited liability corporations that operate in the formal sector are included.

  10. Mauritania MR: New Business Density: New Registrations per 1000 People Aged...

    • ceicdata.com
    Updated Jul 29, 2018
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    CEICdata.com (2018). Mauritania MR: New Business Density: New Registrations per 1000 People Aged 15 to 64 [Dataset]. https://www.ceicdata.com/en/mauritania/businesses-registered-statistics/mr-new-business-density-new-registrations-per-1000-people-aged-15-to-64
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    Dataset updated
    Jul 29, 2018
    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, 2015 - Dec 1, 2016
    Area covered
    Mauritania
    Description

    Mauritania MR: New Business Density: New Registrations per 1000 People Aged 15 to 64 data was reported at 0.495 Number in 2016. This records an increase from the previous number of 0.092 Number for 2015. Mauritania MR: New Business Density: New Registrations per 1000 People Aged 15 to 64 data is updated yearly, averaging 0.294 Number from Dec 2015 (Median) to 2016, with 2 observations. The data reached an all-time high of 0.495 Number in 2016 and a record low of 0.092 Number in 2015. Mauritania MR: New Business Density: New Registrations per 1000 People Aged 15 to 64 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Mauritania – Table MR.World Bank: Businesses Registered Statistics. New businesses registered are the number of new limited liability corporations registered in the calendar year.; ; World Bank's Entrepreneurship Survey and database (http://www.doingbusiness.org/data/exploretopics/entrepreneurship).; Unweighted average; For cross-country comparability, only limited liability corporations that operate in the formal sector are included.

  11. Microsoft's productivity and business processes income worldwide FY...

    • statista.com
    Updated Jul 9, 2025
    + more versions
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    Statista (2025). Microsoft's productivity and business processes income worldwide FY 2015-2025 [Dataset]. https://www.statista.com/statistics/508992/worldwide-microsoft-business-process-operating-income-by-quarter/
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    Dataset updated
    Jul 9, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Worldwide
    Description

    In the third quarter of the 2025 fiscal year, Microsoft generated approximately ***** billion U.S. dollars of operating income from productivity and business processes, an increase of over ***** billion U.S. dollars compared to the same quarter in the previous year.

  12. Big data and business analytics market: CAGR of top technology categories...

    • statista.com
    Updated May 23, 2022
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    Statista (2022). Big data and business analytics market: CAGR of top technology categories 2015-2020 [Dataset]. https://www.statista.com/statistics/773976/worldwide-big-data-business-analytics-technology-growth/
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    Dataset updated
    May 23, 2022
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2017
    Area covered
    Worldwide
    Description

    The statistic shows the constant annual growth rate of the fastest growing big data and analytics categories worldwide, between 2015 and 2020. In that period, the market for non-relational analytics data stores is projected to grow by 38.6 percent.

  13. Big Data's business creation benefits UK 2015-2020, by industry

    • statista.com
    Updated Feb 22, 2016
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    Statista (2016). Big Data's business creation benefits UK 2015-2020, by industry [Dataset]. https://www.statista.com/statistics/608274/big-data-business-creation-benefits-uk/
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    Dataset updated
    Feb 22, 2016
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2015
    Area covered
    United Kingdom
    Description

    This statistic displays the business creation benefits as a result of Big Data in the United Kingdom (UK) from 2015 to 2020, by industry. It was estimated that the professional service sector would benefit most from business creation due to Big Data. Healthcare was the second ranked sector with expected gains of roughly *** billion British pounds.

  14. d

    Department of Energy M&O Small Business Subcontract Public Data Extract (FY...

    • catalog.data.gov
    Updated Nov 10, 2020
    + more versions
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    Office of Small and Disadvantaged Business Utilization (OSDBU) (2020). Department of Energy M&O Small Business Subcontract Public Data Extract (FY 2015) [Dataset]. https://catalog.data.gov/dataset/department-of-energy-mo-small-business-subcontract-public-data-extract-fy-2015
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    Dataset updated
    Nov 10, 2020
    Dataset provided by
    Office of Small and Disadvantaged Business Utilization
    Description

    This contains all reported and validated M&O Prime Contractor 1st tier subcontractor small business award dollars for the government’s most recently completed fiscal year. The file contains 55 data elements that represent a subset of FPDS-NG data.

  15. d

    Historical Occupational Business Licenses 2015

    • catalog.data.gov
    • data.nola.gov
    • +1more
    Updated Jun 28, 2025
    + more versions
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    data.nola.gov (2025). Historical Occupational Business Licenses 2015 [Dataset]. https://catalog.data.gov/dataset/historical-occupational-business-licenses-2015
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    Dataset updated
    Jun 28, 2025
    Dataset provided by
    data.nola.gov
    Description

    Historical list of businesses operating in New Orleans with valid occupational licenses during calendar year 2015.

  16. d

    Great Streets Business Survey 2015

    • catalog.data.gov
    • data.lacity.org
    • +3more
    Updated Jun 21, 2025
    + more versions
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    data.lacity.org (2025). Great Streets Business Survey 2015 [Dataset]. https://catalog.data.gov/dataset/great-streets-business-survey-2015
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    Dataset updated
    Jun 21, 2025
    Dataset provided by
    data.lacity.org
    Description

    Learn more about Mayor Garcetti's Great Streets Initiative here http://lagreatstreets.org/ Survey was taken May-June 2015.

  17. Jordan JO: New Business Density: New Registrations per 1000 People Aged 15...

    • ceicdata.com
    Updated Mar 15, 2023
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    CEICdata.com (2023). Jordan JO: New Business Density: New Registrations per 1000 People Aged 15 to 64 [Dataset]. https://www.ceicdata.com/en/jordan/businesses-registered-statistics/jo-new-business-density-new-registrations-per-1000-people-aged-15-to-64
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    Dataset updated
    Mar 15, 2023
    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, 2006 - Dec 1, 2016
    Area covered
    Jordan
    Variables measured
    Enterprises Statistics
    Description

    Jordan JO: New Business Density: New Registrations per 1000 People Aged 15 to 64 data was reported at 0.599 Number in 2016. This records a decrease from the previous number of 0.622 Number for 2015. Jordan JO: New Business Density: New Registrations per 1000 People Aged 15 to 64 data is updated yearly, averaging 0.758 Number from Dec 2006 (Median) to 2016, with 11 observations. The data reached an all-time high of 1.022 Number in 2013 and a record low of 0.584 Number in 2007. Jordan JO: New Business Density: New Registrations per 1000 People Aged 15 to 64 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Jordan – Table JO.World Bank.WDI: Businesses Registered Statistics. New businesses registered are the number of new limited liability corporations registered in the calendar year.; ; World Bank's Entrepreneurship Survey and database (http://www.doingbusiness.org/data/exploretopics/entrepreneurship).; Unweighted average; For cross-country comparability, only limited liability corporations that operate in the formal sector are included.

  18. Longitudinal Small Business Survey, 2015-2023

    • beta.ukdataservice.ac.uk
    Updated 2024
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    Department For Business And Trade (2024). Longitudinal Small Business Survey, 2015-2023 [Dataset]. http://doi.org/10.5255/ukda-sn-7973-9
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    Dataset updated
    2024
    Dataset provided by
    DataCitehttps://www.datacite.org/
    UK Data Servicehttps://ukdataservice.ac.uk/
    Authors
    Department For Business And Trade
    Description

    The Longitudinal Small Business Survey (LSBS) is a large-scale telephone survey of small business owners and managers commissioned by the Department for Business and Trade (DBT). This survey is the latest in a series of annual and biennial Small Business Surveys (SBS) dating back to 2003.

    In 2015, the survey methodology changed to include a longitudinal tracking element. A large sample size was recruited in Year One (2015) to establish a panel of businesses to be re-surveyed in subsequent years. This will allow a detailed analysis of how combinations of factors affect business performance.

    The LSBS is intended to:

    • Improve the understanding of what drives and constrains business performance and growth by addressing evidence gaps relating to the lags between many business activities and associated performance outcomes;
    • Provide improved data on current business performance and the factors that affect this. The larger survey size will provide more reliable findings for key sub-groups of the business population and in relation to activities such as seeking finance, which are only relevant to part of the sample.

    The data available covers all respondents over the course of the six years so far. Further information and research reports are available on the GOV.UK "https://www.gov.uk/government/collections/small-business-survey-reports"> Small Business Survey Reports webpage.

    Controlled (Secure) Access Version
    A Controlled (Secure) Access version of the LSBS is available from the UK Data Archive, subject to stringent secure access conditions. Extra variables include postcode district, 2-, 3-, and 4-digit SIC codes; and Inter-Departmental Business Register (IDBR) reference numbers for linking to other business surveys. Small Business Survey data files for 2010 and 2012 containing 4-digit SIC codes and IDBR reference numbers are available under SN 6856. Users are strongly advised to check whether the safeguarded version is sufficient for their needs before considering an application for the Controlled (Secure) Access version.

    Latest edition information
    For the ninth edition (December 2024), the data and documentation have been updated to include Year 9 of the survey, completed during 2023-2024.

  19. g

    Myanmar Business Survey 2015 Data report | gimi9.com

    • gimi9.com
    Updated Mar 23, 2025
    + more versions
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    (2025). Myanmar Business Survey 2015 Data report | gimi9.com [Dataset]. https://gimi9.com/dataset/mekong_myanmar-business-survey-2015-data-report
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    Dataset updated
    Mar 23, 2025
    License

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

    Area covered
    Myanmar (Burma)
    Description

    The objective of the Myanmar Business Survey 2015 (MBS) is to address these limitations and to provide comprehensive economic statistics on the private sector of Myanmar, to inform both government policy-makers and non-government stakeholders, and to provide a key data source for the calculation of national accounts. The survey is expected to be the first in a series of regular annual or biennial business surveys, and was designed to comply with international standards and best practices for economic statistics / structural business statistics. It constitutes a core element of the official economic statistics of Myanmar. The survey was implemented jointly by the Central Statistical Organization (CSO) and Planning Department (PD) of the Ministry of Planning and Finance (MoPF). UNDP provided capacity building, technical assistance and financial support during the survey. ISTAT also provided capacity building and technical support.

  20. p

    Entrepreneur High School

    • publicschoolreview.com
    json, xml
    Updated Aug 29, 2014
    + more versions
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    Public School Review (2014). Entrepreneur High School [Dataset]. https://www.publicschoolreview.com/entrepreneur-high-school-profile/28212
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    xml, jsonAvailable download formats
    Dataset updated
    Aug 29, 2014
    Dataset authored and provided by
    Public School Review
    License

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

    Time period covered
    Jan 1, 2015 - Dec 31, 2025
    Description

    Historical Dataset of Entrepreneur High School is provided by PublicSchoolReview and contain statistics on metrics:Total Students Trends Over Years (2015-2023),Total Classroom Teachers Trends Over Years (2015-2023),Distribution of Students By Grade Trends,Student-Teacher Ratio Comparison Over Years (2015-2023),American Indian Student Percentage Comparison Over Years (2019-2023),Asian Student Percentage Comparison Over Years (2015-2023),Hispanic Student Percentage Comparison Over Years (2015-2023),Black Student Percentage Comparison Over Years (2015-2023),White Student Percentage Comparison Over Years (2015-2023),Two or More Races Student Percentage Comparison Over Years (2019-2023),Diversity Score Comparison Over Years (2015-2023)

Share
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Department for Business, Innovation & Skills (2015). Business population estimates 2015 [Dataset]. https://www.gov.uk/government/statistics/business-population-estimates-2015
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Business population estimates 2015

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23 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
Oct 14, 2015
Dataset provided by
GOV.UKhttp://gov.uk/
Authors
Department for Business, Innovation & Skills
Description

Business population estimates for the UK and regions provides the only official estimate of the total number of private sector businesses in the UK at the start of each year.

These estimates produced by the Department for Business, Innovation and Skills cover a wider range of businesses than Office for National Statistics (ONS) outputs, which report on VAT traders and PAYE employers.

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