30 datasets found
  1. Average percentage of women and men in management positions, first quarter...

    • www150.statcan.gc.ca
    • open.canada.ca
    • +1more
    Updated Feb 28, 2025
    + more versions
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    Government of Canada, Statistics Canada (2025). Average percentage of women and men in management positions, first quarter of 2025 [Dataset]. http://doi.org/10.25318/3310094001-eng
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    Dataset updated
    Feb 28, 2025
    Dataset provided by
    Statistics Canadahttps://statcan.gc.ca/en
    Government of Canadahttp://www.gg.ca/
    Area covered
    Canada
    Description

    Average percentage of women and men in management positions, by North American Industry Classification System (NAICS), business employment size, type of business, business activity and majority ownership, first quarter of 2025.

  2. Data from: Women, Business, and the Law 2014 : Removing Restrictions to...

    • genderopendata.org
    pdf, txt
    Updated Oct 16, 2022
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    The World Bank (2022). Women, Business, and the Law 2014 : Removing Restrictions to Enhance Gender Equality [Dataset]. https://genderopendata.org/dataset/women-business-and-the-law-2014-removing-restrictions-to-enhance-gender-equality
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    pdf(2052061), txt(1628773), pdf(5411940), txt(139174)Available download formats
    Dataset updated
    Oct 16, 2022
    Dataset provided by
    World Bankhttp://worldbank.org/
    Authors
    The World Bank
    License

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

    Description

    In the past 50 years women's legal status has improved all over the world. But many laws still make it difficult for women to fully participate in economic life whether by getting jobs or starting businesses. Discriminatory rules bar women from certain jobs, restrict access to capital for women-owned firms and limit women's capacity to make legal decisions. Gender differences in laws affect both developing and developed economies, and women in all regions. Women, business, and the law measures restrictions on women s employment and entrepreneurship as well as incentives for women s employment in 143 economies. Women, business, and the law and the World Bank's global financial inclusion global findings database show that in economies with a default full community of property regime, there are on average 10 percentage points more female owned accounts at formal financial institutions than in economies with a default separation of property regime. This report has shown that although much progress has been made in recent decades in gradually dismantling many of the legal restrictions which have hampered women from more fully contributing to national prosperity, there is a large unfinished agenda of reform. Gender equality is important not only for fairness and equity, but also for economic efficiency and is at the center of creating a more prosperous world.

    Citation
    “World Bank; International Finance Corporation. 2013. Women, Business, and the Law 2014 : Removing Restrictions to Enhance Gender Equality. London: Bloomsbury. © World Bank. https://openknowledge.worldbank.org/handle/10986/20528 License: CC BY-NC-ND 3.0 IGO.”

    URI
    http://hdl.handle.net/10986/20528

  3. k

    Worldbank - Gender Statistics

    • datasource.kapsarc.org
    Updated Mar 22, 2025
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    (2025). Worldbank - Gender Statistics [Dataset]. https://datasource.kapsarc.org/explore/dataset/worldbank-gender-statistics-gcc/
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    Dataset updated
    Mar 22, 2025
    Description

    Explore gender statistics data focusing on academic staff, employment, fertility rates, GDP, poverty, and more in the GCC region. Access comprehensive information on key indicators for Bahrain, China, India, Kuwait, Oman, Qatar, and Saudi Arabia.

    academic staff, Access to anti-retroviral drugs, Adjusted net enrollment rate, Administration and Law programmes, Age at first marriage, Age dependency ratio, Cause of death, Children out of school, Completeness of birth registration, consumer prices, Cost of business start-up procedures, Employers, Employment in agriculture, Employment in industry, Employment in services, employment or training, Engineering and Mathematics programmes, Female headed households, Female migrants, Fertility planning status: mistimed pregnancy, Fertility planning status: planned pregnancy, Fertility rate, Firms with female participation in ownership, Fisheries and Veterinary programmes, Forestry, GDP, GDP growth, GDP per capita, gender parity index, Gini index, GNI, GNI per capita, Government expenditure on education, Government expenditure per student, Gross graduation ratio, Households with water on the premises, Inflation, Informal employment, Labor force, Labor force with advanced education, Labor force with basic education, Labor force with intermediate education, Learning poverty, Length of paid maternity leave, Life expectancy at birth, Mandatory retirement age, Manufacturing and Construction programmes, Mathematics and Statistics programmes, Number of under-five deaths, Part time employment, Population, Poverty headcount ratio at national poverty lines, PPP, Primary completion rate, Retirement age with full benefits, Retirement age with partial benefits, Rural population, Sex ratio at birth, Unemployment, Unemployment with advanced education, Urban population

    Bahrain, China, India, Kuwait, Oman, Qatar, Saudi Arabia

    Follow data.kapsarc.org for timely data to advance energy economics research.

  4. C

    Cambodia KH: Share of Female Employment in Senior and Middle Management

    • ceicdata.com
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    CEICdata.com, Cambodia KH: Share of Female Employment in Senior and Middle Management [Dataset]. https://www.ceicdata.com/en/cambodia/employment-and-unemployment/kh-share-of-female-employment-in-senior-and-middle-management
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    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
    Dec 1, 2009 - Dec 1, 2021
    Area covered
    Cambodia
    Variables measured
    Employment
    Description

    Cambodia KH: Share of Female Employment in Senior and Middle Management data was reported at 24.619 % in 2021. This records an increase from the previous number of 24.532 % for 2020. Cambodia KH: Share of Female Employment in Senior and Middle Management data is updated yearly, averaging 18.695 % from Dec 2000 (Median) to 2021, with 17 observations. The data reached an all-time high of 33.142 % in 2016 and a record low of 10.556 % in 2001. Cambodia KH: Share of Female Employment in Senior and Middle Management data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Cambodia – Table KH.World Bank.WDI: Employment and Unemployment. The proportion of females in total employment in senior and middle management. It corresponds to major group 1 in both ISCO-08 and ISCO-88 minus category 14 in ISCO-08 (hospitality, retail and other services managers) and minus category 13 in ISCO-88 (general managers), since these comprise mainly managers of small enterprises.;International Labour Organization. “Labour Market-related SDG Indicators database (ILOSDG)” ILOSTAT. Accessed January 07, 2025. https://ilostat.ilo.org/data/.;;

  5. Women-founded Businesses in the UK, 2023

    • 1stformations.co.uk
    Updated May 2024
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    1st Formations (2024). Women-founded Businesses in the UK, 2023 [Dataset]. https://www.1stformations.co.uk/blog/women-founded-record-number-of-businesses/
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    Dataset updated
    May 2024
    Dataset authored and provided by
    1st Formations
    Area covered
    United Kingdom
    Description

    This dataset provides insights into the record number of companies founded by women in the UK in 2023, along with information on gender representation in business and self-employment.

  6. 2015 Economic Surveys: SE1500CSCBO04 | Statistics for Owners of Respondent...

    • data.census.gov
    Updated Jul 15, 2017
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    ECN (2017). 2015 Economic Surveys: SE1500CSCBO04 | Statistics for Owners of Respondent Employer Firms by Owner's Average Number of Hours Per Week Spent Managing or Working in 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 Business Owners) [Dataset]. https://data.census.gov/table/ASECBO2015.SE1500CSCBO04?q=Payroll&t=Housing&g=040XX00US42
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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 Owner's Average Number of Hours Per Week Spent Managing or Working in 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.. 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 Average Number of Hours Per Week Spent Managing or Working in 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 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...

  7. 2016 Economic Surveys: SE1600CSCB03 | Statistics for U.S. Employer Firms...

    • data.census.gov
    Updated Aug 16, 2018
    + more versions
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    ECN (2018). 2016 Economic Surveys: SE1600CSCB03 | Statistics for U.S. Employer Firms That Were Jointly Owned and Operated by Spouses 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 Businesses) [Dataset]. https://data.census.gov/table/ASECB2016.SE1600CSCB03?q=Jain%20Ashit%20MD
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    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 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 Jointly Owned and Operated by Spouses by Sector, Gender, Ethnicity, Race, Veteran Status, and Years in Business for the U.S., States, and Top 50 MSAs: 2016. ..Release Schedule. . This file was released in August 2018.. ..Key Table Information. . These data are related to all other 2016 ASE files.. Refer to the Methodology section of the Annual Survey of Entrepreneurs website for additional information.. ..Universe. . The universe for the 2016 Annual Survey of Entrepreneurs (ASE) includes all U.S. firms with paid employees operating during 2016 with receipts of $1,000 or more which are classified in the North American Industry Classification System (NAICS) sectors 11 through 99, except for NAICS 111, 112, 482, 491, 521, 525, 813, 814, and 92 which are not covered. Firms with more than one domestic establishment are counted in each geographic area and industry in which they operate, but only once in the U.S. total.. In this file, "respondent firms" refers to all firms that reported gender, ethnicity, race, or veteran status for at least one owner or returned a survey form with at least one item completed and were publicly held or not classifiable by gender, ethnicity, race, and veteran status.. ..Geographic Coverage. . The data are shown for:. . United States. States and the District of Columbia. The fifty most populous metropolitan areas. . ..Industry Coverage. . The data are shown for the total of all sectors (00) and the 2-digit NAICS code level.. ..Data Items and Other Identifying Records. . Statistics for U.S. Employer Firms That Were Jointly Owned and Operated by Spouses by Sector, Gender, Ethnicity, Race, Veteran Status, and Years in Business for the U.S., States, and Top 50 MSAs: 2016 contains data on:. . Number of firms with paid employees. Sales and receipts for firms with paid employees. Number of employees for firms with paid employees. Annual payroll for firms with paid employees. Percent of respondent firms with paid employees. Percent of sales and receipts of respondent firms with paid employees. Percent of number of employees of respondent firms with paid employees. Percent of annual payroll of respondent firms with paid employees. . The data are shown for:. . Gender, ethnicity, race and veteran status of respondent firms. . All firms. Female-owned. Male-owned. Equally male-/female-owned. Hispanic. Equally Hispanic/non-Hispanic. Non-Hispanic. White. Black or African American. American Indian and Alaska Native. Asian. Native Hawaiian and Other Pacific Islander. Some other race. Minority. Equally minority/nonminority. Nonminority. Veteran-owned. Equally veteran-/nonveteran-owned. Nonveteran-owned. All firms classifiable by gender, ethnicity, race, and veteran status. Publicly held and other firms not classifiable by gender, ethnicity, race, and veteran status. . . Years in business. . All firms. Firms less than 2 years in business. Firms with 2 to 3 years in business. Firms with 4 to 5 years in business. Firms with 6 to 10 years in business. Firms with 11 to 15 years in b...

  8. 2015 Economic Surveys: SE1500CSCB04 | Statistics for U.S. Employer Firms by...

    • data.census.gov
    Updated Jul 15, 2017
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    ECN (2017). 2015 Economic Surveys: SE1500CSCB04 | Statistics for U.S. Employer Firms by Owner('s) Business Aspirations 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.SE1500CSCB04?q=Stanley+S+Ma
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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 Owner('s) Business Aspirations 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 Owner('s) Business Aspirations 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...

  9. 2015 Economic Surveys: SE1500CSCB19 | Statistics for U.S. Employer Firms by...

    • data.census.gov
    Updated Jul 15, 2017
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    ECN (2017). 2015 Economic Surveys: SE1500CSCB19 | Statistics for U.S. Employer Firms by Language(s) Used for Customer Transactions 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.SE1500CSCB19?q=Nancy+S+Miller+MD
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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 Language(s) Used for Customer Transactions 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 Language(s) Used for Customer Transactions 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 busines...

  10. U

    London Labour Market Indicators

    • data.ubdc.ac.uk
    pdf, xls
    Updated Nov 8, 2023
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    Greater London Authority (2023). London Labour Market Indicators [Dataset]. https://data.ubdc.ac.uk/dataset/london-labour-market-indicators
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    xls, pdfAvailable download formats
    Dataset updated
    Nov 8, 2023
    Dataset provided by
    Greater London Authority
    Area covered
    London
    Description

    Latest London Region Data and trends for a number of core indicators of the health of London's labour market.

    Latest core indicators at a glance

    Indicator data for all boroughs

    Here is the latest reliable skills and employment data that exists for London boroughs and sub-regions. It covers the last three years, where possible, to show the latest figures and trends over time.

    Core Indicators

    Number of London residents of working age in employment

    Employment rate

    Number of male London residents of working age in employment

    Male employment rate

    Number of female London residents of working age in employment

    Female employment rate

    Workforce jobs

    Jobs density

    Number of London residents of working age who are economically inactive

    Economic inactivity rate

    Number of London residents aged 16+ who are unemployed (model based)

    Proportion of London residents aged 16+ who are unemployed (model based)

    Claimant unemployment

    Claimant Count as a proportion of the working age population

    Incidence of skill gaps (Numbers and rates)

    GCSE (5+ A*–C) attainment including English and Maths

    Number of working age people in London with no qualifications

    Proportion of working age people in London with no qualifications

    Number of working age people in London with Level 4+ qualifications

    Proportion of working age people in London with Level 4+ qualifications

    Number of people of working age claiming out of work benefits

    Proportion of the working age population who claim out of work benefits

    Number of young people aged 16-18 who are not in employment, education or training (NEET)

    Proportion of 16-18 year olds who are NEET

    Additional Indicators

    Economy and Productivity

    Business Demography (active enterprises, births and deaths of enterprises)

    Business Demography (active enterprises, births and deaths of enterprises): Index

    Business Demography (National indicators)

    Demand for labour: Jobs, vacancies and skills needs

    Total vacancies reported by employers

    Skill shortage vacancies

    JobCentre vacancies - notified

    JobCentre vacancies - unfilled

    Number employed by industry (working age)

    Employment rates by industry (working age)

    Number employed by occupation

    Employment rates by occupation

    Working age who are self-employed

    Numbers employed in the civil service

    Population and supply of labour

    Population estimates (working age)

    National Insurance Number Registrations of overseas nationals

    Employment projections

    Number employed by ethnic groups (working age)

    Employment rates by ethnic groups (working age)

    Number employed by age groups

    Employment rates by age groups

    Number employed by disability (working age)

    Employment rates by disability (working age)

    Employment: Part time/ Full time

    Inactivity by reason (working age)

    Inactivity rates by reason (working age)

    JSA claimants by ethnic groups

    Incapacity Benefit claimants by duration

    Working age benefit claimants by statistical group

    Aged 18-24, claiming JSA for over 6 months

    Aged 18-24, claiming JSA for over 9 months

    Aged over 25, claiming JSA for over 1 year

    JSA claimant flows

    JSA claimant flows: index

    Skills and learning

    Total achieving 5+ A*-C grades inc. English & Mathematics by characteristics

    Percentage achieving 5+ A*-C grades inc. English & Mathematics by characteristics

    GCE A level examination results of 16-18 year olds

    Working age population by qualification level and sex

    Working age rates by qualification level and sex

    Qualification levels of those in employment (working age)

    Number with no adult learning (working age)

    Proportion with no adult learning (working age)

    Received job related training in last 13 wks (working age)

    Apprenticeship Programme starts and achievements - summary

    Apprenticeship Programme starts and achievements - index

    Apprenticeship Programme starts by level and age

    Apprenticeship Programme achievements by level and age

    Number of 19 year olds qualified to Level 3

    Proportion of 19 year olds qualified to Level 3

    Worklessness and NEETS

    Worklessness by sex and age (working age)

    Worklessness rates by sex and age (working age)

    Worklessness numbers and rates by qualification levels (working age)

    Within the borough spreadsheet, statistics are shown for boroughs, inner London, outer London, Thames Gateway London, Olympic Host Boroughs, West London, and West London Alliance.

    Further Labour Market Indicator tools are available from the CESI website.

    https://londondatastore-upload.s3.amazonaws.com/images/esf-logo-web.jpg" alt="" title="ESF logo"> https://londondatastore-upload.s3.amazonaws.com/images/london-enterprise-panel-logo.jpg" alt="" title="LEP logo">

  11. German Weimar Republic Data, 1919-1933

    • icpsr.umich.edu
    ascii, sas, spss
    Updated Dec 22, 2005
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    Inter-university Consortium for Political and Social Research (2005). German Weimar Republic Data, 1919-1933 [Dataset]. http://doi.org/10.3886/ICPSR00042.v1
    Explore at:
    spss, ascii, sasAvailable download formats
    Dataset updated
    Dec 22, 2005
    Dataset authored and 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/42/termshttps://www.icpsr.umich.edu/web/ICPSR/studies/42/terms

    Time period covered
    1919 - 1933
    Area covered
    Germany
    Description

    This data collection contains electoral and demographic data at several levels of aggregation (kreis, land/regierungsberzirk, and wahlkreis) for Germany in the Weimar Republic period of 1919-1933. Two datasets are available. Part 1, 1919 Data, presents raw and percentagized election returns at the wahlkreis level for the 1919 election to the Nationalversammlung. Information is provided on the number and percentage of eligible voters and the total votes cast for parties such as the German National People's Party, German People's Party, Christian People's Party, German Democratic Party, Social Democratic Party, and Independent Social Democratic Party. Part 2, 1920-1933 Data, consists of returns for elections to the Reichstag, 1920-1933, and for the Reichsprasident elections of 1925 and 1932 (including runoff elections in each year), returns for two national referenda, held in 1926 and 1929, and data pertaining to urban population, religion, and occupations, taken from the German Census of 1925. This second dataset contains data at several levels of aggregation and is a merged file. Crosstemporal discrepancies, such as changes in the names of the geographical units and the disappearance of units, have been adjusted for whenever possible. Variables in this file provide information for the total number and percentage of eligible voters and votes cast for parties, including the German Nationalist People's Party, German People's Party, German Center Party, German Democratic Party, German Social Democratic Party, German Communist Party, Bavarian People's Party, Nationalist-Socialist German Workers' Party (Hitler's movement), German Middle Class Party, German Business and Labor Party, Conservative People's Party, and other parties. Data are also provided for the total number and percentage of votes cast in the Reichsprasident elections of 1925 and 1932 for candidates Jarres, Held, Ludendorff, Braun, Marx, Hellpach, Thalman, Hitler, Duesterburg, Von Hindenburg, Winter, and others. Additional variables provide information on occupations in the country, including the number of wage earners employed in agriculture, industry and manufacturing, trade and transportation, civil service, army and navy, clergy, public health, welfare, domestic and personal services, and unknown occupations. Other census data cover the total number of wage earners in the labor force and the number of female wage earners employed in all occupations. Also provided is the percentage of the total population living in towns with 5,000 inhabitants or more, and the number and percentage of the population who were Protestants, Catholics, and Jews.

  12. undefined undefined: undefined | undefined (undefined)

    • data.census.gov
    Updated Jul 15, 2017
    + more versions
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    United States Census Bureau (2017). undefined undefined: undefined | undefined (undefined) [Dataset]. https://data.census.gov/table/ASECB2015.SE1500CSCB21?q=BEN%20F%20BUTLER%20CO
    Explore at:
    Dataset updated
    Jul 15, 2017
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    License

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

    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 Totally or Partly Paid Employee Benefits 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 Totally or Partly Paid Employee Benefits 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 busines...

  13. 2015 Economic Surveys: SE1500CSCB16 | Statistics for U.S. Employer Firms by...

    • data.census.gov
    Updated Jul 15, 2017
    + more versions
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    ECN (2017). 2015 Economic Surveys: SE1500CSCB16 | Statistics for U.S. Employer Firms by Percent of Total Sales of Goods/Services Exported Outside the United States 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.SE1500CSCB16?q=PCL%20CONSTRUCTION%20SERVICES
    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 Percent of Total Sales of Goods/Services Exported Outside the United States 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 Percent of Total Sales of Goods/Services Exported Outside the United States 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 ...

  14. 2016 Economic Surveys: SE1600CSCB05 | Statistics for U.S. Employer Firms by...

    • data.census.gov
    Updated Aug 16, 2018
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    ECN (2018). 2016 Economic Surveys: SE1600CSCB05 | Statistics for U.S. Employer Firms by Year the Business Was Originally Established by Sector, Gender, Ethnicity, Race, and Veteran Status for the U.S., States, and Top 50 MSAs: 2016 (ECNSVY Annual Survey of Entrepreneurs Annual Survey of Entrepreneurs Characteristics of Businesses) [Dataset]. https://data.census.gov/all/tables?q=Arizona%20Original%20Eqpt%20Acces
    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 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 Year the Business Was Originally Established by Sector, Gender, Ethnicity, Race, and Veteran Status for the U.S., States, and Top 50 MSAs: 2016. ..Release Schedule. . This file was released in August 2018.. ..Key Table Information. . These data are related to all other 2016 ASE files.. Refer to the Methodology section of the Annual Survey of Entrepreneurs website for additional information.. ..Universe. . The universe for the 2016 Annual Survey of Entrepreneurs (ASE) includes all U.S. firms with paid employees operating during 2016 with receipts of $1,000 or more which are classified in the North American Industry Classification System (NAICS) sectors 11 through 99, except for NAICS 111, 112, 482, 491, 521, 525, 813, 814, and 92 which are not covered. Firms with more than one domestic establishment are counted in each geographic area and industry in which they operate, but only once in the U.S. total.. In this file, "respondent firms" refers to all firms that reported gender, ethnicity, race, or veteran status for at least one owner or returned a survey form with at least one item completed and were publicly held or not classifiable by gender, ethnicity, race, and veteran status.. ..Geographic Coverage. . The data are shown for:. . United States. States and the District of Columbia. The fifty most populous metropolitan areas. . ..Industry Coverage. . The data are shown for the total of all sectors (00) and the 2-digit NAICS code level.. ..Data Items and Other Identifying Records. . Statistics for U.S. Employer Firms by Year the Business Was Originally Established by Sector, Gender, Ethnicity, Race, and Veteran Status for the U.S., States, and Top 50 MSAs: 2016 contains data on:. . Number of firms with paid employees. Sales and receipts for firms with paid employees. Number of employees for firms with paid employees. Annual payroll for firms with paid employees. Percent of respondent firms with paid employees. Percent of sales and receipts of respondent firms with paid employees. Percent of number of employees of respondent firms with paid employees. Percent of annual payroll of respondent firms with paid employees. . The data are shown for:. . Gender, ethnicity, race and veteran status of respondent firms. . All firms. Female-owned. Male-owned. Equally male-/female-owned. Hispanic. Equally Hispanic/non-Hispanic. Non-Hispanic. White. Black or African American. American Indian and Alaska Native. Asian. Native Hawaiian and Other Pacific Islander. Some other race. Minority. Equally minority/nonminority. Nonminority. Veteran-owned. Equally veteran-/nonveteran-owned. Nonveteran-owned. All firms classifiable by gender, ethnicity, race, and veteran status. Publicly held and other firms not classifiable by gender, ethnicity, race, and veteran status. . . Year the business was originally established. . All firms. Before 1980. 1980 to 1989. 1990 to 1999. 2000 to 2007. 2008 to 2012. 2013. 2014. 2015. 2016. Don't know. Total reporting. ...

  15. w

    Fire statistics data tables

    • gov.uk
    Updated Mar 13, 2025
    + more versions
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    Fire statistics data tables [Dataset]. https://www.gov.uk/government/statistical-data-sets/fire-statistics-data-tables
    Explore at:
    Dataset updated
    Mar 13, 2025
    Dataset provided by
    GOV.UK
    Authors
    Home Office
    Description

    This information covers fires, false alarms and other incidents attended by fire crews, and the statistics include the numbers of incidents, fires, fatalities and casualties as well as information on response times to fires. The Home Office also collect information on the workforce, fire prevention work, health and safety and firefighter pensions. All data tables on fire statistics are below.

    The Home Office has responsibility for fire services in England. The vast majority of data tables produced by the Home Office are for England but some (0101, 0103, 0201, 0501, 1401) tables are for Great Britain split by nation. In the past the Department for Communities and Local Government (who previously had responsibility for fire services in England) produced data tables for Great Britain and at times the UK. Similar information for devolved administrations are available at https://www.firescotland.gov.uk/about/statistics/" class="govuk-link">Scotland: Fire and Rescue Statistics, https://statswales.gov.wales/Catalogue/Community-Safety-and-Social-Inclusion/Community-Safety" class="govuk-link">Wales: Community safety and http://www.nifrs.org/" class="govuk-link">Northern Ireland: Fire and Rescue Statistics.

    If you use assistive technology (for example, a screen reader) and need a version of any of these documents in a more accessible format, please email alternativeformats@homeoffice.gov.uk. Please tell us what format you need. It will help us if you say what assistive technology you use.

    Related content

    Fire statistics guidance
    Fire statistics incident level datasets

    Incidents attended

    https://assets.publishing.service.gov.uk/media/6787aa6c2cca34bdaf58a257/fire-statistics-data-tables-fire0101-230125.xlsx">FIRE0101: Incidents attended by fire and rescue services by nation and population (MS Excel Spreadsheet, 94 KB) Previous FIRE0101 tables

    https://assets.publishing.service.gov.uk/media/6787ace93f1182a1e258a25c/fire-statistics-data-tables-fire0102-230125.xlsx">FIRE0102: Incidents attended by fire and rescue services in England, by incident type and fire and rescue authority (MS Excel Spreadsheet, 1.51 MB) Previous FIRE0102 tables

    https://assets.publishing.service.gov.uk/media/6787b036868b2b1923b64648/fire-statistics-data-tables-fire0103-230125.xlsx">FIRE0103: Fires attended by fire and rescue services by nation and population (MS Excel Spreadsheet, 123 KB) Previous FIRE0103 tables

    https://assets.publishing.service.gov.uk/media/6787b3ac868b2b1923b6464d/fire-statistics-data-tables-fire0104-230125.xlsx">FIRE0104: Fire false alarms by reason for false alarm, England (MS Excel Spreadsheet, 295 KB) Previous FIRE0104 tables

    Dwelling fires attended

    https://assets.publishing.service.gov.uk/media/6787b4323f1182a1e258a26a/fire-statistics-data-tables-fire0201-230125.xlsx">FIRE0201: Dwelling fires attended by fire and rescue services by motive, population and nation (MS Excel Spreadsheet, 111 KB) <a href="https://www.gov.uk/government/statistical-data-sets/fire0201-previous-data-t

  16. Private enterprises by ownership gender, age group of primary owner and...

    • www150.statcan.gc.ca
    • open.canada.ca
    • +1more
    Updated Mar 22, 2022
    + more versions
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    Government of Canada, Statistics Canada (2022). Private enterprises by ownership gender, age group of primary owner and enterprise size, inactive [Dataset]. http://doi.org/10.25318/3310019201-eng
    Explore at:
    Dataset updated
    Mar 22, 2022
    Dataset provided by
    Government of Canadahttp://www.gg.ca/
    Statistics Canadahttps://statcan.gc.ca/en
    Area covered
    Canada
    Description

    The total number and percentage of private enterprises owned by men or women, by age group of primary owner and enterprise size.

  17. d

    Aggregate Data for the Constituencies of the Federal Republic (1949-1969) in...

    • b2find.dkrz.de
    Updated Apr 28, 2023
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    (2023). Aggregate Data for the Constituencies of the Federal Republic (1949-1969) in the Organization of the Federal Parliament Election 1965 - Dataset - B2FIND [Dataset]. https://b2find.dkrz.de/dataset/5a2b1775-e853-5db8-952b-f6cb7b2d50cd
    Explore at:
    Dataset updated
    Apr 28, 2023
    Description

    Socio-economic and election political aggregate data for the Federal Republic (1949-1969) at the level of the constituencies. Topics: Area in square kilometers; residential population; male, German, religious residential population; residential population according to school degrees; employed, organized according to areas of business; proportion of self-employed; proportion of civil servants, workers and employees; places of work; employed women; eligible voters and voters in the Federal Parliament elections 1949-1969; valid and invalid first votes or second votes; proportion of first and second votes for individual parties in Federal Parliament elections; proportion of foreigners in residential population; age structure of residential population. Sozioökonomische und wahlpolitische Aggregatdaten für die Bundesrepublik (1949-1969) auf der Ebene der Wahlkreise. Themen: Fläche in qkm; Wohnbevölkerung; männliche, deutsche, religiöse Wohnbevölkerung; Wohnbevölkerung nach Schulabschlüssen; Erwerbstätige, aufgegliedert nach Branchen; Selbständigenanteil; Beamten-, Arbeiter- und Angestelltenanteil; Arbeitsstätten; beschäftigte Frauen; Wahlberechtigte und Wähler bei den Bundestagswahlen 1949-1969; gültige und ungültige Erststimmen bzw. Zweitstimmen; Erst- und Zweitstimmenanteil der einzelnen Parteien bei den Bundestagswahlen; Ausländeranteil an der Wohnbevölkerung; Altersstruktur der Wohnbevölkerung. Census Totalerhebung AggregationAggregation

  18. Staffing actions taken by businesses during the COVID-19 pandemic, by...

    • www150.statcan.gc.ca
    • open.canada.ca
    • +1more
    Updated Apr 29, 2020
    + more versions
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    Government of Canada, Statistics Canada (2020). Staffing actions taken by businesses during the COVID-19 pandemic, by business characteristics [Dataset]. http://doi.org/10.25318/3310023101-eng
    Explore at:
    Dataset updated
    Apr 29, 2020
    Dataset provided by
    Statistics Canadahttps://statcan.gc.ca/en
    Area covered
    Canada
    Description

    Staffing actions taken by businesses during the COVID-19 pandemic, by North American Industry Classification System (NAICS) code, business employment size, type of business and majority ownership.

  19. 2016 Economic Surveys: SE1600CSCBO09 | Statistics for Owners of Respondent...

    • data.census.gov
    Updated Aug 16, 2018
    + more versions
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    ECN (2018). 2016 Economic Surveys: SE1600CSCBO09 | Statistics for Owners of Respondent Employer Firms by Whether the Owner Was Born a U.S. Citizen 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.SE1600CSCBO09
    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 Whether the Owner Was Born a U.S. Citizen 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 Whether the Owner Was Born a U.S. Citizen 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. . . Whether the owner was born a U.S. citizen. . Born a citizen of the Un...

  20. Gender pay gap in the UK 1997-2024

    • statista.com
    Updated Dec 6, 2024
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    Statista (2024). Gender pay gap in the UK 1997-2024 [Dataset]. https://www.statista.com/statistics/280710/uk-gender-pay-gap/
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    Dataset updated
    Dec 6, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United Kingdom
    Description

    In 2024, the difference between average hourly earnings for men and women in the United Kingdom for all workers was 13.1 percent, compared with seven percent for full-time workers, and -3 percent for part-time workers. During the provided time period, the gender pay gap was at its highest in 1997, when it was 27.5 percent for all workers. Compared with 1997, the gender pay gap has fallen by 13.2 percent for all workers, and 9.7 percent for full-time workers. Gender pay gap higher in older age groups Although the gender pay gap among younger age groups was quite small in 2023, the double-digit pay gap evident in older age groups served to keep the overall gap high. The gender pay gap for workers aged between 18 and 21 for example was -0.2 percent, compared with 11.2 percent for people in their 50s. Additionally the gender pay gap for people aged over 60 has changed little since 1997, falling by just 0.5 percent between 1997 and 2023, compared with a 12.8 percent reduction among workers in their 40s. Positions of power As of 2023, women are unfortunately still relatively underrepresented in leadership positions at Britain’s top businesses. Among FTSE 100 companies, for example, just 11 percent of CEOs were female, falling to just four percent for FTSE 250 companies. Representation was better when it came to FTSE 100 boardrooms, with 42.6 percent of positions at this level being filled by women, compared with 41.8 percent at FTSE 250 companies. In the corridors of political power, the proportion of female MPs was estimated to have reached its highest ever level after the 2024 election at 41 percent, compared with just three percent in 1979.

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Government of Canada, Statistics Canada (2025). Average percentage of women and men in management positions, first quarter of 2025 [Dataset]. http://doi.org/10.25318/3310094001-eng
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Average percentage of women and men in management positions, first quarter of 2025

3310094001

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Dataset updated
Feb 28, 2025
Dataset provided by
Statistics Canadahttps://statcan.gc.ca/en
Government of Canadahttp://www.gg.ca/
Area covered
Canada
Description

Average percentage of women and men in management positions, by North American Industry Classification System (NAICS), business employment size, type of business, business activity and majority ownership, first quarter of 2025.

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