87 datasets found
  1. Number of employees in the finance sector in the UK 2024, by gender

    • statista.com
    Updated Jun 22, 2025
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    Statista (2025). Number of employees in the finance sector in the UK 2024, by gender [Dataset]. https://www.statista.com/statistics/824162/number-of-finance-insurance-employees-both-genders/
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    Dataset updated
    Jun 22, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2024
    Area covered
    United Kingdom
    Description

    In 2024, there were roughly ******* full-time male employees in the financial and insurance activities sector in the United Kingdom (UK). The number of full-time female employees, on the other hand, was much lower, at *******. In terms of part-time employment, there were significantly more female employees in the sector than males. In 2024, a total of ******* people worked part-time, and only ****** were male.

  2. Number of people employed in finance and insurance UK 2000-2025, by gender

    • statista.com
    Updated Aug 18, 2025
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    Statista (2025). Number of people employed in finance and insurance UK 2000-2025, by gender [Dataset]. https://www.statista.com/statistics/1387017/uk-finance-workforce-by-gender/
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    Dataset updated
    Aug 18, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United Kingdom
    Description

    As of the second quarter of 2025, there were approximately ******0 men employed in the finance and insurance sector in the UK, compared with ******* women.

  3. d

    Gender ratio of trainees at the Department of Finance's Training Institute

    • data.gov.tw
    csv
    Updated Jun 25, 2025
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    Training Institute, Ministry of Finance (2025). Gender ratio of trainees at the Department of Finance's Training Institute [Dataset]. https://data.gov.tw/en/datasets/46011
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    csvAvailable download formats
    Dataset updated
    Jun 25, 2025
    Dataset authored and provided by
    Training Institute, Ministry of Finance
    License

    https://data.gov.tw/licensehttps://data.gov.tw/license

    Description

    Publish the Ministry of Finance's annual training website for male and female training personnel, total number of training personnel, and gender ratio to understand the overall training performance of male and female trainees for the year.

  4. d

    Financial Holding Company and Domestic Bank Directors' Gender Ratio...

    • data.gov.tw
    csv
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    Financial Supervisory Commission , Executive Yuan, Financial Holding Company and Domestic Bank Directors' Gender Ratio Statistics Table [Dataset]. https://data.gov.tw/en/datasets/113840
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    csvAvailable download formats
    Dataset authored and provided by
    Financial Supervisory Commission , Executive Yuan
    License

    https://data.gov.tw/licensehttps://data.gov.tw/license

    Description

    Gender ratio statistics of financial holding companies and domestic banks

  5. Gender diversity at the largest U.S. banks 2023, by share of female...

    • statista.com
    Updated Jul 9, 2025
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    Statista (2025). Gender diversity at the largest U.S. banks 2023, by share of female employees [Dataset]. https://www.statista.com/statistics/1318618/gender-diversity-total-workforce-leading-us-banks/
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    Dataset updated
    Jul 9, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2023
    Area covered
    United States
    Description

    In 2023, the share of female employees in the total workforce of most leading U.S. banks exceeded ** percent. Among the observed banks, Truist and PNC Financial Services had the highest share of female employees in terms of the total workforce, at **** and ** percent, respectively. The lowest share of female employees was seen at Capital One and Goldman Sachs, where the share of women was less than ** percent.Gender diversity: total workforce vs. senior management The relatively high share of female employees in the total workforce of leading U.S. banks may show gender diversity in a good light, but the devil is in the details. The share of female executives and senior level officials and managers in the largest U.S. banks was significantly lower in 2023. The relatively low share of female executives and senior managers in banks is not unique. In numerous other industries, the share of women employed on executive and senior levels tends to be lower than the share of women in the total workforce. Global gender gap index There has been a gradually increasing focus on gender equality in recent years. The global gender gap index was first introduced by the World Economic Forum in 2006 to measure the gender-based gaps among four key dimensions (economic participation and opportunity, educational attainment, health and survival, and political empowerment), and to track the progress of closing these gaps. Based on the four dimensions, the index scores each country between * and *. In 2023, Europe held ***** spots in the top ten, while the United States ranked ****.

  6. Share of women in C-suite roles in the financial services sector worldwide...

    • statista.com
    Updated Jun 22, 2025
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    Statista (2025). Share of women in C-suite roles in the financial services sector worldwide 2012-2031 [Dataset]. https://www.statista.com/statistics/1322160/share-of-women-financial-services-leadership-worldwide/
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    Dataset updated
    Jun 22, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Worldwide
    Description

    The share of women in global C-suite roles in the financial services industry worldwide grew gradually between 2012 and 2023, reaching **** percent in 2023. This slow but steady growth tendency is expected to continue in the following years, reaching **** percent by 2031.

  7. Financial Information Center Credit Borrowers New Credit Amount and Interest...

    • data.gov.tw
    csv
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    Banking Bureau, Financial Supervisory Commission, Executive Yuan, R.O.C., Financial Information Center Credit Borrowers New Credit Amount and Interest Rate Statistics by Gender. [Dataset]. https://data.gov.tw/en/datasets/24631
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    csvAvailable download formats
    Dataset provided by
    Banking Bureauhttps://www.banking.gov.tw/en/
    Banking Bureau, Financial Supervisory Commission
    Authors
    Banking Bureau, Financial Supervisory Commission, Executive Yuan, R.O.C.
    License

    https://data.gov.tw/licensehttps://data.gov.tw/license

    Description

    The statistical table of the new credit amount and interest rates for borrowers of different genders (Financial Joint Credit Information Center) [Gender Equality]

  8. Financial Joint Credit Information Center Credit Card Revolving Credit...

    • data.gov.tw
    csv
    + more versions
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    Banking Bureau, Financial Supervisory Commission, Executive Yuan, R.O.C., Financial Joint Credit Information Center Credit Card Revolving Credit Amount Statistics by Gender [Dataset]. https://data.gov.tw/en/datasets/24623
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    csvAvailable download formats
    Dataset provided by
    Banking Bureauhttps://www.banking.gov.tw/en/
    Banking Bureau, Financial Supervisory Commission
    Authors
    Banking Bureau, Financial Supervisory Commission, Executive Yuan, R.O.C.
    License

    https://data.gov.tw/licensehttps://data.gov.tw/license

    Description

    Different genders credit card revolving credit amount statistics form (Financial Alliance Credit Center) [Gender Equality]

  9. Financial Joint Credit Information Center Cash Card Loan Balance Statistics...

    • data.gov.tw
    csv
    Updated Nov 24, 2015
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    Banking Bureau, Financial Supervisory Commission, Executive Yuan, R.O.C. (2015). Financial Joint Credit Information Center Cash Card Loan Balance Statistics for Different Gender [Dataset]. https://data.gov.tw/en/datasets/24627
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    csvAvailable download formats
    Dataset updated
    Nov 24, 2015
    Dataset provided by
    Banking Bureauhttps://www.banking.gov.tw/en/
    Banking Bureau, Financial Supervisory Commission
    Authors
    Banking Bureau, Financial Supervisory Commission, Executive Yuan, R.O.C.
    License

    https://data.gov.tw/licensehttps://data.gov.tw/license

    Description

    Different Gender Cash Card Loan Balance Statistics Table (Financial Joint Credit Information Center) [Gender Equality]

  10. Distribution of financial inclusion in Nigeria 2023, by gender

    • statista.com
    Updated Jul 8, 2025
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    Statista (2025). Distribution of financial inclusion in Nigeria 2023, by gender [Dataset]. https://www.statista.com/statistics/1454426/financial-inclusion-distribution-in-nigeria-by-gender/
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    Dataset updated
    Jul 8, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2023
    Area covered
    Nigeria
    Description

    In 2023, men in Nigeria were slightly more likely to have access to financial services than women. With a total share of ** percent, men had access to financial services through banks (** percent), non-bank services (** percent), and informal financial services (**** percent). By comparison, ** percent of women had access to formal banked and non-bank services while ** percent exclusively used informal financial services.

  11. g

    ministry of finance - Employee Distribution by Gender from 2022 To 2024 |...

    • gimi9.com
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    ministry of finance - Employee Distribution by Gender from 2022 To 2024 | gimi9.com [Dataset]. https://gimi9.com/dataset/sa_fc34d1d9-cc72-4891-bd6b-02b4dd711e82/
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    License

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

    Description

    This dataset presents the percentage distribution of employees by gender (male and female) during the years 2022 to 2024

  12. Financial Joint Credit Information Center Credit Card Different Gender...

    • data.gov.tw
    csv
    + more versions
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    Banking Bureau, Financial Supervisory Commission, Executive Yuan, R.O.C., Financial Joint Credit Information Center Credit Card Different Gender Payments Statistics Table [Dataset]. https://data.gov.tw/en/datasets/21953
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    csvAvailable download formats
    Dataset provided by
    Banking Bureauhttps://www.banking.gov.tw/en/
    Banking Bureau, Financial Supervisory Commission
    Authors
    Banking Bureau, Financial Supervisory Commission, Executive Yuan, R.O.C.
    License

    https://data.gov.tw/licensehttps://data.gov.tw/license

    Description

    Credit card payment statistics by gender (Financial Joint Credit Information Center)

  13. Female-to-male ratio of financial inclusion in APAC 2014 by country

    • statista.com
    Updated Jan 3, 2025
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    Statista (2025). Female-to-male ratio of financial inclusion in APAC 2014 by country [Dataset]. https://www.statista.com/statistics/919504/asia-pacific-female-to-male-ratio-financial-inclusion/
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    Dataset updated
    Jan 3, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2014
    Area covered
    APAC
    Description

    This statistic shows the female-to-male ratio of accessing financial services in Asia Pacific in 2014, by country. In that year, the financial inclusion of men and women were equal in Australia, the Philippines, Vietnam, Singapore as well as in New Zealand.

  14. Share of women on boards in the financial services sector in UK 2018-2023

    • statista.com
    Updated May 15, 2025
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    Statista (2025). Share of women on boards in the financial services sector in UK 2018-2023 [Dataset]. https://www.statista.com/statistics/1462366/uk-women-on-boards-of-financial-services/
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    Dataset updated
    May 15, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United Kingdom
    Description

    The share of women on boards in the financial services industry in the United Kingdom (UK) showed a slight increase between 2018 and 2023. In 2018, **** percent of the directors in financial services were female, which was below the average of ** percent among European countries. By 2021, the share of women on boards increased to **** percent, which rose to **** percent by 2023.

  15. w

    Global Financial Inclusion (Global Findex) Database 2021 - Liberia

    • microdata.worldbank.org
    • catalog.ihsn.org
    Updated Dec 16, 2022
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    Development Research Group, Finance and Private Sector Development Unit (2022). Global Financial Inclusion (Global Findex) Database 2021 - Liberia [Dataset]. https://microdata.worldbank.org/index.php/catalog/4671
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    Dataset updated
    Dec 16, 2022
    Dataset authored and provided by
    Development Research Group, Finance and Private Sector Development Unit
    Time period covered
    2021
    Area covered
    Liberia
    Description

    Abstract

    The fourth edition of the Global Findex offers a lens into how people accessed and used financial services during the COVID-19 pandemic, when mobility restrictions and health policies drove increased demand for digital services of all kinds.

    The Global Findex is the world's most comprehensive database on financial inclusion. It is also the only global demand-side data source allowing for global and regional cross-country analysis to provide a rigorous and multidimensional picture of how adults save, borrow, make payments, and manage financial risks. Global Findex 2021 data were collected from national representative surveys of about 128,000 adults in more than 120 economies. The latest edition follows the 2011, 2014, and 2017 editions, and it includes a number of new series measuring financial health and resilience and contains more granular data on digital payment adoption, including merchant and government payments.

    The Global Findex is an indispensable resource for financial service practitioners, policy makers, researchers, and development professionals.

    Geographic coverage

    National coverage

    Analysis unit

    Individual

    Kind of data

    Observation data/ratings [obs]

    Sampling procedure

    In most developing economies, Global Findex data have traditionally been collected through face-to-face interviews. Surveys are conducted face-to-face in economies where telephone coverage represents less than 80 percent of the population or where in-person surveying is the customary methodology. However, because of ongoing COVID-19 related mobility restrictions, face-to-face interviewing was not possible in some of these economies in 2021. Phone-based surveys were therefore conducted in 67 economies that had been surveyed face-to-face in 2017. These 67 economies were selected for inclusion based on population size, phone penetration rate, COVID-19 infection rates, and the feasibility of executing phone-based methods where Gallup would otherwise conduct face-to-face data collection, while complying with all government-issued guidance throughout the interviewing process. Gallup takes both mobile phone and landline ownership into consideration. According to Gallup World Poll 2019 data, when face-to-face surveys were last carried out in these economies, at least 80 percent of adults in almost all of them reported mobile phone ownership. All samples are probability-based and nationally representative of the resident adult population. Phone surveys were not a viable option in 17 economies that had been part of previous Global Findex surveys, however, because of low mobile phone ownership and surveying restrictions. Data for these economies will be collected in 2022 and released in 2023.

    In economies where face-to-face surveys are conducted, the first stage of sampling is the identification of primary sampling units. These units are stratified by population size, geography, or both, and clustering is achieved through one or more stages of sampling. Where population information is available, sample selection is based on probabilities proportional to population size; otherwise, simple random sampling is used. Random route procedures are used to select sampled households. Unless an outright refusal occurs, interviewers make up to three attempts to survey the sampled household. To increase the probability of contact and completion, attempts are made at different times of the day and, where possible, on different days. If an interview cannot be obtained at the initial sampled household, a simple substitution method is used. Respondents are randomly selected within the selected households. Each eligible household member is listed, and the hand-held survey device randomly selects the household member to be interviewed. For paper surveys, the Kish grid method is used to select the respondent. In economies where cultural restrictions dictate gender matching, respondents are randomly selected from among all eligible adults of the interviewer's gender.

    In traditionally phone-based economies, respondent selection follows the same procedure as in previous years, using random digit dialing or a nationally representative list of phone numbers. In most economies where mobile phone and landline penetration is high, a dual sampling frame is used.

    The same respondent selection procedure is applied to the new phone-based economies. Dual frame (landline and mobile phone) random digital dialing is used where landline presence and use are 20 percent or higher based on historical Gallup estimates. Mobile phone random digital dialing is used in economies with limited to no landline presence (less than 20 percent).

    For landline respondents in economies where mobile phone or landline penetration is 80 percent or higher, random selection of respondents is achieved by using either the latest birthday or household enumeration method. For mobile phone respondents in these economies or in economies where mobile phone or landline penetration is less than 80 percent, no further selection is performed. At least three attempts are made to reach a person in each household, spread over different days and times of day.

    Sample size for Liberia is 1000.

    Mode of data collection

    Face-to-face [f2f]

    Research instrument

    Questionnaires are available on the website.

    Sampling error estimates

    Estimates of standard errors (which account for sampling error) vary by country and indicator. For country-specific margins of error, please refer to the Methodology section and corresponding table in Demirgüç-Kunt, Asli, Leora Klapper, Dorothe Singer, Saniya Ansar. 2022. The Global Findex Database 2021: Financial Inclusion, Digital Payments, and Resilience in the Age of COVID-19. Washington, DC: World Bank.

  16. Financial Information Center Mortgage Borrower's New Credit Amount and...

    • data.gov.tw
    csv
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    Banking Bureau, Financial Supervisory Commission, Executive Yuan, R.O.C., Financial Information Center Mortgage Borrower's New Credit Amount and Interest Rate Statistics by Gender [Dataset]. https://data.gov.tw/en/datasets/21947
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    csvAvailable download formats
    Dataset provided by
    Banking Bureauhttps://www.banking.gov.tw/en/
    Banking Bureau, Financial Supervisory Commission
    Authors
    Banking Bureau, Financial Supervisory Commission, Executive Yuan, R.O.C.
    License

    https://data.gov.tw/licensehttps://data.gov.tw/license

    Description

    Mortgage borrowers of different genders' statistics on the newly added credit amount and interest rates (Financial Joint Credit Information Center)

  17. Difficulty meeting financial needs, by gender and province

    • datasets.ai
    • www150.statcan.gc.ca
    • +2more
    21, 55, 8
    Updated Sep 20, 2024
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    Statistics Canada | Statistique Canada (2024). Difficulty meeting financial needs, by gender and province [Dataset]. https://datasets.ai/datasets/ba136c56-ee9a-457d-bdc5-75bc5db5484a
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    21, 55, 8Available download formats
    Dataset updated
    Sep 20, 2024
    Dataset provided by
    Statistics Canadahttps://statcan.gc.ca/en
    Authors
    Statistics Canada | Statistique Canada
    Description

    Percentage of persons aged 15 years and over by level of difficulty for their household to meet its financial needs in terms of necessary expenses, by gender, for Canada, regions and provinces.

  18. m

    Gender Pay Gap Statistics and Facts

    • market.biz
    Updated Aug 11, 2025
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    Market.biz (2025). Gender Pay Gap Statistics and Facts [Dataset]. https://market.biz/gender-pay-gap-statistics/
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    Dataset updated
    Aug 11, 2025
    Dataset provided by
    Market.biz
    License

    https://market.biz/privacy-policyhttps://market.biz/privacy-policy

    Time period covered
    2022 - 2032
    Area covered
    Europe, South America, North America, Africa, Australia, ASIA
    Description

    Introduction

    Gender Pay Gap Statistics: The gender pay gap remains a persistent issue globally, with women earning, on average, 20% less than men. This means women earn 80 cents for every dollar earned by men. At the current rate of progress, it could take approximately 132 years to close this gap.

    This disparity is evident across various industries, with women in finance and technology earning as much as 25% less than their male counterparts. The gap is even more pronounced among women, with Black and Hispanic women earning 37% and 46% less, respectively, than white men.

    Despite advancements in gender equality, pay inequality continues to hinder women’s economic c and long-term financial security. Addressing this gap requires systemic change, including pay transparency, policy reforms, and active corporate strategies.

  19. Share of women on boards in the financial services sector in the U.S....

    • statista.com
    Updated May 15, 2025
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    Statista (2025). Share of women on boards in the financial services sector in the U.S. 2014-2023 [Dataset]. https://www.statista.com/statistics/1320008/us-women-boards-of-directors-financial-services-worldwide/
    Explore at:
    Dataset updated
    May 15, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    Women's representation on U.S. financial services boards rose dramatically over the past decade, more than doubling from **** percent in 2014 to **** percent in 2023. The growth was steady: female board membership increased to ** percent in 2016, reached ** percent by 2018, and surpassed ** percent in 2021. However, with women still occupying just over a quarter of board seats, the financial services sector remains far from achieving gender parity.

  20. d

    Financial joint credit center male and female outstanding balance statistics...

    • data.gov.tw
    csv
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    Banking Bureau, Financial Supervisory Commission, Executive Yuan, R.O.C., Financial joint credit center male and female outstanding balance statistics for pre-mature installment repayment of cash advances. [Dataset]. https://data.gov.tw/en/datasets/24626
    Explore at:
    csvAvailable download formats
    Dataset provided by
    Banking Bureau, Financial Supervisory Commission
    Authors
    Banking Bureau, Financial Supervisory Commission, Executive Yuan, R.O.C.
    License

    https://data.gov.tw/licensehttps://data.gov.tw/license

    Description

    Different genders have not yet reached the installment repayment statistics for cash advance balances (Financial Joint Credit Information Center) [Gender Equality]

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Statista (2025). Number of employees in the finance sector in the UK 2024, by gender [Dataset]. https://www.statista.com/statistics/824162/number-of-finance-insurance-employees-both-genders/
Organization logo

Number of employees in the finance sector in the UK 2024, by gender

Explore at:
Dataset updated
Jun 22, 2025
Dataset authored and provided by
Statistahttp://statista.com/
Time period covered
2024
Area covered
United Kingdom
Description

In 2024, there were roughly ******* full-time male employees in the financial and insurance activities sector in the United Kingdom (UK). The number of full-time female employees, on the other hand, was much lower, at *******. In terms of part-time employment, there were significantly more female employees in the sector than males. In 2024, a total of ******* people worked part-time, and only ****** were male.

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