17 datasets found
  1. E

    Diversity in Tech Statistics 2024 – By Countries, Companies And Demographic...

    • enterpriseappstoday.com
    Updated Mar 1, 2024
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    EnterpriseAppsToday (2024). Diversity in Tech Statistics 2024 – By Countries, Companies And Demographic (Age, Gender, Race, Education) [Dataset]. https://www.enterpriseappstoday.com/stats/diversity-in-tech-statistics.html
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    Dataset updated
    Mar 1, 2024
    Dataset authored and provided by
    EnterpriseAppsToday
    License

    https://www.enterpriseappstoday.com/privacy-policyhttps://www.enterpriseappstoday.com/privacy-policy

    Time period covered
    2022 - 2032
    Area covered
    Global
    Description

    Diversity in Tech Statistics: In today's tech-driven world, discussions about diversity in the technology sector have gained significant traction. Recent statistics shed light on the disparities and opportunities within this industry. According to data from various sources, including reports from leading tech companies and diversity advocacy groups, the lack of diversity remains a prominent issue. For example, studies reveal that only 25% of computing jobs in the United States are held by women, while Black and Hispanic individuals make up just 9% of the tech workforce combined. Additionally, research indicates that LGBTQ+ individuals are underrepresented in tech, with only 2.3% of tech workers identifying as LGBTQ+. Despite these challenges, there are promising signs of progress. Companies are increasingly recognizing the importance of diversity and inclusion initiatives, with some allocating significant resources to address these issues. For instance, tech giants like Google and Microsoft have committed millions of USD to diversity programs aimed at recruiting and retaining underrepresented talent. As discussions surrounding diversity in tech continue to evolve, understanding the statistical landscape is crucial in fostering meaningful change and creating a more inclusive industry for all. Editor’s Choice In 2021, 7.9% of the US labor force was employed in technology. Women hold only 26.7% of tech employment, while men hold 73.3% of these positions. White Americans hold 62.5% of the positions in the US tech sector. Asian Americans account for 20% of jobs, Latinx Americans 8%, and Black Americans 7%. 83.3% of tech executives in the US are white. Black Americans comprised 14% of the population in 2019 but held only 7% of tech employment. For the same position, at the same business, and with the same experience, women in tech are typically paid 3% less than men. The high-tech sector employs more men (64% against 52%), Asian Americans (14% compared to 5.8%), and white people (68.5% versus 63.5%) compared to other industries. The tech industry is urged to prioritize inclusion when hiring, mentoring, and retaining employees to bridge the digital skills gap. Black professionals only account for 4% of all tech workers despite being 13% of the US workforce. Hispanic professionals hold just 8% of all STEM jobs despite being 17% of the national workforce. Only 22% of workers in tech are ethnic minorities. Gender diversity in tech is low, with just 26% of jobs in computer-related sectors occupied by women. Companies with diverse teams have higher profitability, with those in the top quartile for gender diversity being 25% more likely to have above-average profitability. Every month, the tech industry adds about 9,600 jobs to the U.S. economy. Between May 2009 and May 2015, over 800,000 net STEM jobs were added to the U.S. economy. STEM jobs are expected to grow by another 8.9% between 2015 and 2024. The percentage of black and Hispanic employees at major tech companies is very low, making up just one to three percent of the tech workforce. Tech hiring relies heavily on poaching and incentives, creating an unsustainable ecosystem ripe for disruption. Recruiters have a significant role in disrupting the hiring process to support diversity and inclusion. You May Also Like To Read Outsourcing Statistics Digital Transformation Statistics Internet of Things Statistics Computer Vision Statistics

  2. Global energy sector workforce breakdown by gender and ethnicity 2022

    • statista.com
    Updated Apr 29, 2024
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    Statista (2024). Global energy sector workforce breakdown by gender and ethnicity 2022 [Dataset]. https://www.statista.com/statistics/1311080/worldwide-energy-sector-workforce-by-gender-and-ethnicity/
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    Dataset updated
    Apr 29, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2022
    Area covered
    Worldwide
    Description

    Employment in the worldwide energy sector is unevenly distributed across gender and ethnic groups. In 2022, about two thirds of energy sector jobs were held by men. Broken down by ethnicity, energy sector employment was even more unevenly distributed, with 78 percent of the sector's jobs held by white employees.

  3. Job Patterns For Minorities And Women In Private Industry, 2017 EEO-1 State...

    • catalog.data.gov
    Updated May 8, 2023
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    US Equal Employment Opportunity Commision (2023). Job Patterns For Minorities And Women In Private Industry, 2017 EEO-1 State Aggregate Report [Dataset]. https://catalog.data.gov/dataset/job-patterns-for-minorities-and-women-in-private-industry-2017-eeo-1-state-aggregate-repor
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    Dataset updated
    May 8, 2023
    Dataset provided by
    Equal Employment Opportunity Commissionhttp://www.eeoc.gov/
    Description

    As part of its mandate under Title VII of the Civil Rights Act of 1964, as amended, the Equal Employment Opportunity Commission requires periodic reports from public and private employers, and unions and labor organizations which indicate the composition of their work forces by sex and by race/ethnic category. Key among these reports is the EEO-1, which is collected annually from Private employers with 100 or more employees or federal contractors with 50 more employees.

  4. Job Patterns For Minorities And Women In Private Industry, 2007 EEO-1...

    • catalog.data.gov
    • datadiscoverystudio.org
    • +1more
    Updated May 8, 2023
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    US Equal Employment Opportunity Commision (2023). Job Patterns For Minorities And Women In Private Industry, 2007 EEO-1 NAICS-2 Aggregate Report [Dataset]. https://catalog.data.gov/dataset/job-patterns-for-minorities-and-women-in-private-industry-2007-eeo-1-naics-2-aggregate-rep
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    Dataset updated
    May 8, 2023
    Dataset provided by
    Equal Employment Opportunity Commissionhttp://www.eeoc.gov/
    Description

    As part of its mandate under Title VII of the Civil Rights Act of 1964, as amended, the Equal Employment Opportunity Commission requires periodic reports from public and private employers, and unions and labor organizations which indicate the composition of their work forces by sex and by race/ethnic category. Key among these reports is the EEO-1, which is collected annually from Private employers with 100 or more employees or federal contractors with 50 more employees. In 2007, over 67,800 employers with more than 61.3 million employees filed EEO-1 reports. The confidentiality provision which governs release of these data (Section 709 (e) of Title VII of the Civil Rights Act of 1964, as amended by the Equal Employment Opportunity Act of 1972) prohibits release of individually identifiable information. However, data in aggregated format for major geographic areas and by industry group for private employers (EEO-1) are available. The following tables are national aggregations by those industries with the greatest employment.

  5. A

    ‘Job Patterns For Minorities And Women In Private Industry, 2017 EEO-1 State...

    • analyst-2.ai
    Updated Nov 24, 2018
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    Analyst-2 (analyst-2.ai) / Inspirient GmbH (inspirient.com) (2018). ‘Job Patterns For Minorities And Women In Private Industry, 2017 EEO-1 State Aggregate Report’ analyzed by Analyst-2 [Dataset]. https://analyst-2.ai/analysis/data-gov-job-patterns-for-minorities-and-women-in-private-industry-2017-eeo-1-state-aggregate-report-1001/57acd647/?iid=029-077&v=presentation
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    Dataset updated
    Nov 24, 2018
    Dataset authored and provided by
    Analyst-2 (analyst-2.ai) / Inspirient GmbH (inspirient.com)
    License

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

    Description

    Analysis of ‘Job Patterns For Minorities And Women In Private Industry, 2017 EEO-1 State Aggregate Report’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://catalog.data.gov/dataset/84a56f67-954b-4fd8-8798-7b74acc8493d on 26 January 2022.

    --- Dataset description provided by original source is as follows ---

    As part of its mandate under Title VII of the Civil Rights Act of 1964, as amended, the Equal Employment Opportunity Commission requires periodic reports from public and private employers, and unions and labor organizations which indicate the composition of their work forces by sex and by race/ethnic category. Key among these reports is the EEO-1, which is collected annually from Private employers with 100 or more employees or federal contractors with 50 more employees.

    --- Original source retains full ownership of the source dataset ---

  6. Job Patterns For Minorities And Women In Private Industry, 2007 EEO-1...

    • catalog.data.gov
    • datadiscoverystudio.org
    • +1more
    Updated May 8, 2023
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    US Equal Employment Opportunity Commision (2023). Job Patterns For Minorities And Women In Private Industry, 2007 EEO-1 NAICS-3 Aggregate Report [Dataset]. https://catalog.data.gov/dataset/job-patterns-for-minorities-and-women-in-private-industry-2007-eeo-1-naics-3-aggregate-rep
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    Dataset updated
    May 8, 2023
    Dataset provided by
    Equal Employment Opportunity Commissionhttp://www.eeoc.gov/
    Description

    As part of its mandate under Title VII of the Civil Rights Act of 1964, as amended, the Equal Employment Opportunity Commission requires periodic reports from public and private employers, and unions and labor organizations which indicate the composition of their work forces by sex and by race/ethnic category. Key among these reports is the EEO-1, which is collected annually from Private employers with 100 or more employees or federal contractors with 50 more employees. In 2007, over 67,800 employers with more than 61.3 million employees filed EEO-1 reports. The confidentiality provision which governs release of these data (Section 709 (e) of Title VII of the Civil Rights Act of 1964, as amended by the Equal Employment Opportunity Act of 1972) prohibits release of individually identifiable information. However, data in aggregated format for major geographic areas and by industry group for private employers (EEO-1) are available. The following tables are national aggregations by those industries with the greatest employment.

  7. Employment income statistics by industry groups, visible minority, highest...

    • www150.statcan.gc.ca
    • open.canada.ca
    Updated Nov 15, 2023
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    Government of Canada, Statistics Canada (2023). Employment income statistics by industry groups, visible minority, highest level of education, work activity during the reference year, age and gender: Canada, provinces and territories [Dataset]. http://doi.org/10.25318/9810059901-eng
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    Dataset updated
    Nov 15, 2023
    Dataset provided by
    Statistics Canadahttps://statcan.gc.ca/en
    Government of Canadahttp://www.gg.ca/
    Area covered
    Canada
    Description

    Data on employment income statistics by industry groups (4-digit code) from the North American Industry Classification System (NAICS) 2017, visible minority, highest level of education, work activity during the reference year, age and gender, for the population aged 15 years and over who reported weeks worked and employment income in 2020 in private households in Canada, provinces and territories.

  8. A

    ‘Job Patterns For Minorities And Women In Private Industry, 2017 EEO-1...

    • analyst-2.ai
    Updated Jan 26, 2022
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    Analyst-2 (analyst-2.ai) / Inspirient GmbH (inspirient.com) (2022). ‘Job Patterns For Minorities And Women In Private Industry, 2017 EEO-1 NAICS-3 Aggregate Report’ analyzed by Analyst-2 [Dataset]. https://analyst-2.ai/analysis/data-gov-job-patterns-for-minorities-and-women-in-private-industry-2017-eeo-1-naics-3-aggregate-report-680d/latest
    Explore at:
    Dataset updated
    Jan 26, 2022
    Dataset authored and provided by
    Analyst-2 (analyst-2.ai) / Inspirient GmbH (inspirient.com)
    License

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

    Description

    Analysis of ‘Job Patterns For Minorities And Women In Private Industry, 2017 EEO-1 NAICS-3 Aggregate Report’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://catalog.data.gov/dataset/3a2666d1-d48c-4aab-82f1-4be878735e50 on 26 January 2022.

    --- Dataset description provided by original source is as follows ---

    As part of its mandate under Title VII of the Civil Rights Act of 1964, as amended, the Equal Employment Opportunity Commission requires periodic reports from public and private employers, and unions and labor organizations which indicate the composition of their work forces by sex and by race/ethnic category. Key among these reports is the EEO-1, which is collected annually from Private employers with 100 or more employees or federal contractors with 50 more employees.

    --- Original source retains full ownership of the source dataset ---

  9. Job Patterns For Minorities And Women In Private Industry, 2016 EEO-1 State...

    • catalog.data.gov
    Updated May 8, 2023
    + more versions
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    US Equal Employment Opportunity Commision (2023). Job Patterns For Minorities And Women In Private Industry, 2016 EEO-1 State Aggregate by NAICS-3 Report [Dataset]. https://catalog.data.gov/dataset/job-patterns-for-minorities-and-women-in-private-industry-2016-eeo-1-state-aggregate-by-na-fa993
    Explore at:
    Dataset updated
    May 8, 2023
    Dataset provided by
    Equal Employment Opportunity Commissionhttp://www.eeoc.gov/
    Description

    As part of its mandate under Title VII of the Civil Rights Act of 1964, as amended, the Equal Employment Opportunity Commission requires periodic reports from public and private employers, and unions and labor organizations which indicate the composition of their work forces by sex and by race/ethnic category. Key among these reports is the EEO-1, which is collected annually from Private employers with 100 or more employees or federal contractors with 50 more employees.

  10. d

    Job Patterns For Minorities And Women In Private Industry, 2007 EEO-1...

    • datadiscoverystudio.org
    zip
    Updated Sep 1, 2017
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    (2017). Job Patterns For Minorities And Women In Private Industry, 2007 EEO-1 NAICS-4 Aggregate Report. [Dataset]. http://datadiscoverystudio.org/geoportal/rest/metadata/item/ed652e634e8847c9be340fa0e951b18d/html
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    zipAvailable download formats
    Dataset updated
    Sep 1, 2017
    Description

    description: As part of its mandate under Title VII of the Civil Rights Act of 1964, as amended, the Equal Employment Opportunity Commission requires periodic reports from public and private employers, and unions and labor organizations which indicate the composition of their work forces by sex and by race/ethnic category. Key among these reports is the EEO-1, which is collected annually from Private employers with 100 or more employees or federal contractors with 50 more employees. In 2007, over 67,800 employers with more than 61.3 million employees filed EEO-1 reports. The confidentiality provision which governs release of these data (Section 709 (e) of Title VII of the Civil Rights Act of 1964, as amended by the Equal Employment Opportunity Act of 1972) prohibits release of individually identifiable information. However, data in aggregated format for major geographic areas and by industry group for private employers (EEO-1) are available. The following tables are national aggregations by those industries with the greatest employment.; abstract: As part of its mandate under Title VII of the Civil Rights Act of 1964, as amended, the Equal Employment Opportunity Commission requires periodic reports from public and private employers, and unions and labor organizations which indicate the composition of their work forces by sex and by race/ethnic category. Key among these reports is the EEO-1, which is collected annually from Private employers with 100 or more employees or federal contractors with 50 more employees. In 2007, over 67,800 employers with more than 61.3 million employees filed EEO-1 reports. The confidentiality provision which governs release of these data (Section 709 (e) of Title VII of the Civil Rights Act of 1964, as amended by the Equal Employment Opportunity Act of 1972) prohibits release of individually identifiable information. However, data in aggregated format for major geographic areas and by industry group for private employers (EEO-1) are available. The following tables are national aggregations by those industries with the greatest employment.

  11. d

    Job Patterns For Minorities And Women In Private Industry, 2007 EEO-1 CBSA...

    • datadiscoverystudio.org
    zip
    Updated Sep 1, 2017
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    (2017). Job Patterns For Minorities And Women In Private Industry, 2007 EEO-1 CBSA Aggregate by NAICS-2 Report. [Dataset]. http://datadiscoverystudio.org/geoportal/rest/metadata/item/86d8d4d55c574f23b7555ab87ff06213/html
    Explore at:
    zipAvailable download formats
    Dataset updated
    Sep 1, 2017
    Description

    description: As part of its mandate under Title VII of the Civil Rights Act of 1964, as amended, the Equal Employment Opportunity Commission requires periodic reports from public and private employers, and unions and labor organizations which indicate the composition of their work forces by sex and by race/ethnic category. Key among these reports is the EEO-1, which is collected annually from Private employers with 100 or more employees or federal contractors with 50 more employees. In 2007, over 67,800 employers with more than 61.3 million employees filed EEO-1 reports. The confidentiality provision which governs release of these data (Section 709 (e) of Title VII of the Civil Rights Act of 1964, as amended by the Equal Employment Opportunity Act of 1972) prohibits release of individually identifiable information. However, data in aggregated format for major geographic areas and by industry group for private employers (EEO-1) are available. The following tables are national aggregations by those industries with the greatest employment.; abstract: As part of its mandate under Title VII of the Civil Rights Act of 1964, as amended, the Equal Employment Opportunity Commission requires periodic reports from public and private employers, and unions and labor organizations which indicate the composition of their work forces by sex and by race/ethnic category. Key among these reports is the EEO-1, which is collected annually from Private employers with 100 or more employees or federal contractors with 50 more employees. In 2007, over 67,800 employers with more than 61.3 million employees filed EEO-1 reports. The confidentiality provision which governs release of these data (Section 709 (e) of Title VII of the Civil Rights Act of 1964, as amended by the Equal Employment Opportunity Act of 1972) prohibits release of individually identifiable information. However, data in aggregated format for major geographic areas and by industry group for private employers (EEO-1) are available. The following tables are national aggregations by those industries with the greatest employment.

  12. Labour force characteristics by visible minority group and region,...

    • www150.statcan.gc.ca
    Updated Jun 6, 2025
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    Government of Canada, Statistics Canada (2025). Labour force characteristics by visible minority group and region, three-month moving averages, monthly, unadjusted for seasonality [Dataset]. http://doi.org/10.25318/1410037301-eng
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    Dataset updated
    Jun 6, 2025
    Dataset provided by
    Statistics Canadahttps://statcan.gc.ca/en
    Area covered
    Canada
    Description

    Labour force characteristic estimates by visible minority group, region, age group, and gender.

  13. g

    Die Ukrainische Gesellschaft am Übergang zum 21. Jahrhundert 1999

    • search.gesis.org
    • datacatalogue.cessda.eu
    • +1more
    Updated Apr 13, 2010
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    Vorona, Valeriy M.; Golovakha, Eugene; Panina, Natalija (2010). Die Ukrainische Gesellschaft am Übergang zum 21. Jahrhundert 1999 [Dataset]. http://doi.org/10.4232/1.3966
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    application/x-spss-por(1600968), application/x-stata-dta(894444), application/x-spss-sav(873128)Available download formats
    Dataset updated
    Apr 13, 2010
    Dataset provided by
    GESIS search
    GESIS Data Archive
    Authors
    Vorona, Valeriy M.; Golovakha, Eugene; Panina, Natalija
    License

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

    Variables measured
    V406 - Region, V391 - m185. SEX, V392 - m186. AGE, V1 - ZA Studynumber, V397 - m191. YOUR EDUCATION, V405 - Interview number (ID), V398 - m192. YOUR NATIONALITY, V393 - m187. YOUR FAMILY STATUS, V394 - m188. NUMBER OF CHILDREN, V407 - LANGUAGE OF THE INTERVIEW, and 397 more
    Description

    Attitudes to the political, social and economic Transformation . Topics: Economic situation; economic transformations; development of private business, privatization of land and of large enterprises; buying and selling land; willingness to work for a private company; direction of foreign policy; freedom of expression of political views; return to socialism vs. develop capitalism; role of social groups; trust in family and relatives, oneself, neighbors, fellow citizens, god, colleagues, church, astrologers, mass media; police, communist party, political parties, "Rukh", nationalists, Verkhovna Rada (parliament), armed forces, government, president, private entrepreneurs, mangers of large state enterprises, trade unions (traditional and new); membership in organizations; leisure activities; newspapers read last week; interests in politics; capable political leaders; strong leader vs. democracy; multiparty system; political parties and movements, that deserve power; important political movements; participation and voting in the Verkhovna Rada (parliament) Elections (March 1998); trust in deputy elected in one´s district; opinion about the President Kuchma; preferred role of the president; preferred priority in the policies of the president; general political situation in Ukraine and Russia; joining the union of Russia and Belarus; Russian language as a official language; satisfaction with one´s own present position in society, one´s own contribution to society and with that what one gets from society; predominant influence on one´s own life; satisfied with outlook on life; mood last days; social position in society; ability to live under changing social conditions as regards to health, working, clothing, housing, economic knowledge, confidence in one´s own abilities, medical assistance, fashionable clothing, basic furniture, contemporary political knowledge, resolve in pursuing one´s goals, legal protection for defending one´s rights and interests, ability to have an adequate vacation, having a second, unofficial job, buying the most necessary products, initiative and independence in solving daily problems, adequate leisure time, opportunity to work to full potential, opportunity to eat according to one´s own tastes; general health condition; suffering from any chronic illnesses; frequency of catching a cold/flu last year; frequency of being sick; stressful situations during last year; consequences of the Chornobyl catastrophe for one´s own health; satisfaction with quality of life in one´s resident; close relatives living outside Ukraine; leaving current residence (influential factors); preferred place to live; satisfaction with living conditions; current living conditions; number of rooms; size of family; number of people living together in one room; equipment in the household; possession of goods; second resident; domestic animals/pets; material level of the family´s life (scale); second income; income group; salary last month and anything left for next months; responsibility for delayed payments of wages; average income of the last month; monthly income (per person) providing average life of one´s own family; monthly average income (per person) counted as poor/rich; changes of material conditions for medical services, vacation, leisure time, reliable information about events in Ukraine and in the world, raising children, freedom to express views, participation in cultural events, environmental situation, personal security, protection from the whims of bureaucrats and bodies of power, security of employment; frequency of hooliganism and robberies in one´s own district; decision which encroached on people´s interests and actions against it; probability of mass protest actions and participation in them; political protests; death penalty; attitudes towards ethnic groups; violation of ethnic groups; maintain of peace and order; frequency of changing place of employment; work in public or private sector; job satisfied; religious confession; nationality; native language; spoken languages; language of the interview.

  14. BAME share in creative industries in the UK 2019

    • statista.com
    Updated Nov 11, 2022
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    Statista (2022). BAME share in creative industries in the UK 2019 [Dataset]. https://www.statista.com/statistics/1096448/ethnic-diversity-in-creative-industries-in-the-uk-by-sector/
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    Dataset updated
    Nov 11, 2022
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2019
    Area covered
    United Kingdom
    Description

    Ethnic diversity in creative industries differed by sector in the United Kingdom (UK) in 2019. The IT, software, and computer services sector employed a share of 14 percent of individuals with BAME background, while the games sector counted for 10 percent of BAME employees.

      Employment within the creative industries in the UK

    The number of employees in the creative industries has increased in the UK, rising from nearly 1.6 million workers in 2011 to over two million in 2018. The highest increase in the number of employees was observed within the IT, software and computer services sector, with 250 thousand more individuals employed in 2018 compared to 2011. Over the same period, the number of employees within museums, galleries, and libraries remained at similar levels.

    Racism in the UK

    A survey conducted by YouGov in June 2020 revealed that 44 percent of individuals in Great Britain believed that the UK was a fairly racist society, while eight percent considered the UK ‘very racist’. In addition, nearly half of the respondents over 65 years old thought that the UK was a racist society, with 43 percent saying it was a ‘fairly racist’ society and four percent believing it was a very racist one. In comparison, 47 percent of the 18-24 year old respondents thought that the UK was a fairly racist society and 14 percent believed it to be very racist.

  15. w

    London Labour Market, Skills and Employment Indicators

    • data.wu.ac.at
    pdf, xls
    Updated Sep 26, 2015
    + more versions
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    London Datastore Archive (2015). London Labour Market, Skills and Employment Indicators [Dataset]. https://data.wu.ac.at/odso/datahub_io/ODQzYWEyOGYtOGM1MC00NjNiLTgyMzQtNjg5NzkxNDYwY2Uw
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    xls(1146880.0), pdf(103271.0), xls(1194496.0)Available download formats
    Dataset updated
    Sep 26, 2015
    Dataset provided by
    London Datastore Archive
    License

    http://reference.data.gov.uk/id/open-government-licencehttp://reference.data.gov.uk/id/open-government-licence

    Area covered
    London
    Description

    The Labour Market Indicators spreadsheet for boroughs and regions will no longer be updated from March 2015. The final version from March 2015 will still be available to download at the bottom of this page. Most of the data is available within datasets elsewhere on the Datastore.

    Workforce Jobs
    Unemployment
    Model based Unemployment for Boroughs
    Claimant Count rates for Boroughs and Wards
    Employment Rate Trends
    Number of Self Employed, Full and Part Time Employed
    Employment by Occupation
    Employment by Industry
    Employment by Gender, Age and Disability
    Employment by Ethnicity
    Economic Inactivity by Gender and Reason
    Qualifications of Economically Active, Employed and Unemployed
    Qualification levels of working-age population
    Apprenticeship Starts and Achievements
    Young People Not in Employment, Education or Training (NEET), Borough
    19 year olds Qualified to NVQ Level 3
    GCE A level examination results of 16-18 year olds
    GCSE Results by Pupil Characteristics
    People Claiming Out-of-Work Benefits
    People Claiming Incapacity Benefit
    Children Living in Workless Households
    Gross Value Added, and Gross Disposable Household Income
    Earnings by place of residence
    Earnings by place of work
    Business Demographics
    Employment projections by sector
    Jobs Density
    Population Estimates
    Population Migration

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

  16. f

    Census - Usually resident population by detailed ethnicity, MEC group, and...

    • figure.nz
    csv
    Updated Aug 11, 2023
    + more versions
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    Figure.NZ (2023). Census - Usually resident population by detailed ethnicity, MEC group, and industry of employment 2018 [Dataset]. https://figure.nz/table/waN3AAnwkHmOZmjX
    Explore at:
    csvAvailable download formats
    Dataset updated
    Aug 11, 2023
    Dataset provided by
    Figure.NZ
    License

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

    Area covered
    New Zealand
    Description

    The New Zealand Census of Population and Dwellings is the official count of how many people and dwellings there are in New Zealand. It provides a snapshot of our society at a point in time and helps to tell the story of its social and economic change. The 2018 Census, held on Tuesday 6 March, was the 34th New Zealand Census of Population and Dwellings. The first official census was run in 1851, and since 1877 there has been a census every five years, with only four exceptions.

  17. c

    Ukrainian Society at the Edge of the 21st Century 2000

    • datacatalogue.cessda.eu
    • search.gesis.org
    Updated Mar 14, 2023
    + more versions
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    Vorona, Valeriy M.; Golovakha, Eugene; Panina, Natalija (2023). Ukrainian Society at the Edge of the 21st Century 2000 [Dataset]. http://doi.org/10.4232/1.3967
    Explore at:
    Dataset updated
    Mar 14, 2023
    Dataset provided by
    Institute of Sociology of Academy of Sciences of Ukraine
    Authors
    Vorona, Valeriy M.; Golovakha, Eugene; Panina, Natalija
    Area covered
    Ukraine
    Measurement technique
    Written survey with standardized questionnaire
    Description

    Attitudes to the political, social and economic Transformation . Topics: Economic situation; economic transformations; development of private business, privatization of land and of large enterprises; buying and selling land; willingness to work for a private company; direction of foreign policy; freedom of expression of political views; return to socialism vs. develop capitalism; role of social groups; trust in family and relatives, oneself, neighbors, fellow citizens, god, colleagues, church, astrologers, mass media; police, communist party, political parties, "Rukh", nationalists, Verkhovna Rada (parliament), armed forces, government, president, private entrepreneurs, mangers of large state enterprises, trade unions (traditional and new); membership in organizations; leisure activities; newspapers read last week; interests in politics; capable political leaders; strong leader vs. democracy; multiparty system; political parties and movements, that deserve power; important political movements; participation and voting in the Verkhovna Rada (parliament) Elections (March 1998); trust in deputy elected in one´s district; opinion about the President Kuchma; preferred role of the president; preferred priority in the policies of the president; general political situation in Ukraine and Russia; joining the union of Russia and Belarus; Russian language as a official language; satisfaction with one´s own present position in society, one´s own contribution to society and with that what one gets from society; predominant influence on one´s own life; satisfied with outlook on life; mood last days; social position in society; ability to live under changing social conditions as regards to health, working, clothing, housing, economic knowledge, confidence in one´s own abilities, medical assistance, fashionable clothing, basic furniture, contemporary political knowledge, resolve in pursuing one´s goals, legal protection for defending one´s rights and interests, ability to have an adequate vacation, having a second, unofficial job, buying the most necessary products, initiative and independence in solving daily problems, adequate leisure time, opportunity to work to full potential, opportunity to eat according to one´s own tastes; general health condition; suffering from any chronic illnesses; frequency of catching a cold/flu last year; frequency of being sick; stressful situations during last year; consequences of the Chornobyl catastrophe for one´s own health; satisfaction with quality of life in one´s resident; close relatives living outside Ukraine; leaving current residence (influential factors); preferred place to live; satisfaction with living conditions; current living conditions; number of rooms; size of family; number of people living together in one room; equipment in the household; possession of goods; second resident; domestic animals/pets; material level of the family´s life (scale); second income; income group; salary last month and anything left for next months; responsibility for delayed payments of wages; average income of the last month; monthly income (per person) providing average life of one´s own family; monthly average income (per person) counted as poor/rich; changes of material conditions for medical services, vacation, leisure time, reliable information about events in Ukraine and in the world, raising children, freedom to express views, participation in cultural events, environmental situation, personal security, protection from the whims of bureaucrats and bodies of power, security of employment; frequency of hooliganism and robberies in one´s own district; decision which encroached on people´s interests and actions against it; probability of mass protest actions and participation in them; political protests; death penalty; attitudes towards ethnic groups; violation of ethnic groups; maintain of peace and order; frequency of changing place of employment; work in public or private sector; job satisfied; religious confession; nationality; native language; spoken languages; language of the interview.

  18. Not seeing a result you expected?
    Learn how you can add new datasets to our index.

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EnterpriseAppsToday (2024). Diversity in Tech Statistics 2024 – By Countries, Companies And Demographic (Age, Gender, Race, Education) [Dataset]. https://www.enterpriseappstoday.com/stats/diversity-in-tech-statistics.html

Diversity in Tech Statistics 2024 – By Countries, Companies And Demographic (Age, Gender, Race, Education)

Explore at:
Dataset updated
Mar 1, 2024
Dataset authored and provided by
EnterpriseAppsToday
License

https://www.enterpriseappstoday.com/privacy-policyhttps://www.enterpriseappstoday.com/privacy-policy

Time period covered
2022 - 2032
Area covered
Global
Description

Diversity in Tech Statistics: In today's tech-driven world, discussions about diversity in the technology sector have gained significant traction. Recent statistics shed light on the disparities and opportunities within this industry. According to data from various sources, including reports from leading tech companies and diversity advocacy groups, the lack of diversity remains a prominent issue. For example, studies reveal that only 25% of computing jobs in the United States are held by women, while Black and Hispanic individuals make up just 9% of the tech workforce combined. Additionally, research indicates that LGBTQ+ individuals are underrepresented in tech, with only 2.3% of tech workers identifying as LGBTQ+. Despite these challenges, there are promising signs of progress. Companies are increasingly recognizing the importance of diversity and inclusion initiatives, with some allocating significant resources to address these issues. For instance, tech giants like Google and Microsoft have committed millions of USD to diversity programs aimed at recruiting and retaining underrepresented talent. As discussions surrounding diversity in tech continue to evolve, understanding the statistical landscape is crucial in fostering meaningful change and creating a more inclusive industry for all. Editor’s Choice In 2021, 7.9% of the US labor force was employed in technology. Women hold only 26.7% of tech employment, while men hold 73.3% of these positions. White Americans hold 62.5% of the positions in the US tech sector. Asian Americans account for 20% of jobs, Latinx Americans 8%, and Black Americans 7%. 83.3% of tech executives in the US are white. Black Americans comprised 14% of the population in 2019 but held only 7% of tech employment. For the same position, at the same business, and with the same experience, women in tech are typically paid 3% less than men. The high-tech sector employs more men (64% against 52%), Asian Americans (14% compared to 5.8%), and white people (68.5% versus 63.5%) compared to other industries. The tech industry is urged to prioritize inclusion when hiring, mentoring, and retaining employees to bridge the digital skills gap. Black professionals only account for 4% of all tech workers despite being 13% of the US workforce. Hispanic professionals hold just 8% of all STEM jobs despite being 17% of the national workforce. Only 22% of workers in tech are ethnic minorities. Gender diversity in tech is low, with just 26% of jobs in computer-related sectors occupied by women. Companies with diverse teams have higher profitability, with those in the top quartile for gender diversity being 25% more likely to have above-average profitability. Every month, the tech industry adds about 9,600 jobs to the U.S. economy. Between May 2009 and May 2015, over 800,000 net STEM jobs were added to the U.S. economy. STEM jobs are expected to grow by another 8.9% between 2015 and 2024. The percentage of black and Hispanic employees at major tech companies is very low, making up just one to three percent of the tech workforce. Tech hiring relies heavily on poaching and incentives, creating an unsustainable ecosystem ripe for disruption. Recruiters have a significant role in disrupting the hiring process to support diversity and inclusion. You May Also Like To Read Outsourcing Statistics Digital Transformation Statistics Internet of Things Statistics Computer Vision Statistics

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