19 datasets found
  1. Reach of the Daily Express and Sunday Express in the United Kingdom...

    • statista.com
    Updated Feb 4, 2022
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    Statista (2022). Reach of the Daily Express and Sunday Express in the United Kingdom 2019-2020 [Dataset]. https://www.statista.com/statistics/380705/daily-express-sunday-express-monthly-reach-by-demographic-uk/
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    Dataset updated
    Feb 4, 2022
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Apr 2019 - Mar 2020
    Area covered
    United Kingdom
    Description

    The Daily Express had a monthly audience of around 2.7 million individuals from April 2019 to March 2020 in the United Kingdom. Reach was higher among adults over the age of 35 than for the 15 to 35 age group, with 20.18 million and four million readers respectively.

  2. e

    ChatGPT Usage by Age Group – Survey Data

    • expresslegalfunding.com
    html
    Updated May 2, 2025
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    Express Legal Funding (2025). ChatGPT Usage by Age Group – Survey Data [Dataset]. https://expresslegalfunding.com/chatgpt-study/
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    htmlAvailable download formats
    Dataset updated
    May 2, 2025
    Dataset authored and provided by
    Express Legal Funding
    License

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

    Variables measured
    60+, 18–29, 30–44, 45–60
    Description

    This dataset presents ChatGPT usage patterns across different age groups, showing the percentage of users who have followed its advice, used it without following advice, or have never used it, based on a 2025 U.S. survey.

  3. Ningxia Gross Dependency Ratio

    • jp.knoema.com
    csv, json, sdmx, xls
    Updated May 24, 2023
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    Knoema (2023). Ningxia Gross Dependency Ratio [Dataset]. https://jp.knoema.com/atlas/China/Ningxia/Gross-Dependency-Ratio
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    xls, json, sdmx, csvAvailable download formats
    Dataset updated
    May 24, 2023
    Dataset authored and provided by
    Knoemahttp://knoema.com/
    Time period covered
    2008 - 2021
    Area covered
    Ningxia
    Variables measured
    Gross Dependency Ratio (Sample Survey)
    Description

    43.0 (%) in 2021. Gross Dependency Ratio also called gross dependency coefficient, refers to the ratio of non-working-age population to the working-age population, express in %. Describing in general the number of non-working-age population that every 100 people at working ages will take care of, this indicator reflects the basic relation between population and economic development from the demographic perspective. The gross dependency ratio is calculated with the following formula: (The population of children aged 0-14 + The elderly population aged 65 and over)/(The working-age population aged 15-64)*100%.

  4. Tibet Gross Dependency Ratio

    • knoema.ru
    csv, json, sdmx, xls
    Updated May 14, 2021
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    Knoema (2021). Tibet Gross Dependency Ratio [Dataset]. https://knoema.ru/atlas/China/Tibet/Gross-Dependency-Ratio
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    xls, json, csv, sdmxAvailable download formats
    Dataset updated
    May 14, 2021
    Dataset authored and provided by
    Knoemahttp://knoema.com/
    Time period covered
    2007 - 2019
    Area covered
    Tibet, Tibet, Китай
    Variables measured
    Gross Dependency Ratio (Sample Survey)
    Description

    47,2 (%) в 2019. Gross Dependency Ratio also called gross dependency coefficient, refers to the ratio of non-working-age population to the working-age population, express in %. Describing in general the number of non-working-age population that every 100 people at working ages will take care of, this indicator reflects the basic relation between population and economic development from the demographic perspective. The gross dependency ratio is calculated with the following formula: (The population of children aged 0-14 + The elderly population aged 65 and over)/(The working-age population aged 15-64)*100%.

  5. Yunnan Gross Dependency Ratio

    • hi.knoema.com
    csv, json, sdmx, xls
    Updated May 14, 2021
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    Knoema (2021). Yunnan Gross Dependency Ratio [Dataset]. https://hi.knoema.com/atlas/china/yunnan/gross-dependency-ratio
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    sdmx, json, csv, xlsAvailable download formats
    Dataset updated
    May 14, 2021
    Dataset authored and provided by
    Knoemahttp://knoema.com/
    Time period covered
    2007 - 2019
    Area covered
    Yunnan
    Variables measured
    Gross Dependency Ratio (Sample Survey)
    Description

    38.7 (%) in 2019. Gross Dependency Ratio also called gross dependency coefficient, refers to the ratio of non-working-age population to the working-age population, express in %. Describing in general the number of non-working-age population that every 100 people at working ages will take care of, this indicator reflects the basic relation between population and economic development from the demographic perspective. The gross dependency ratio is calculated with the following formula: (The population of children aged 0-14 + The elderly population aged 65 and over)/(The working-age population aged 15-64)*100%.

  6. Fujian Children Dependency Ratio

    • knoema.es
    csv, json, sdmx, xls
    Updated Apr 5, 2022
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    Knoema (2022). Fujian Children Dependency Ratio [Dataset]. https://knoema.es/atlas/China/Fujian/Children-Dependency-Ratio
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    csv, xls, json, sdmxAvailable download formats
    Dataset updated
    Apr 5, 2022
    Dataset authored and provided by
    Knoemahttp://knoema.com/
    Time period covered
    2007 - 2019
    Area covered
    Fujian
    Variables measured
    Children Dependency Ratio (Sample Survey)
    Description

    23,1 (%) in 2019. Children Dependency Ratio also called children dependency coefficient, refers to the ratio of the children population to the working-age population, express in %. It describes the number of children population that every 100 people at working ages will take care of. The children dependency ratio is calculated with the following formula: (The population of children aged 0-14)/(The working-age population aged 15-64)*100%.

  7. Henan Children Dependency Ratio

    • knoema.de
    csv, json, sdmx, xls
    Updated Apr 5, 2022
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    Knoema (2022). Henan Children Dependency Ratio [Dataset]. https://knoema.de/atlas/China/Henan/Children-Dependency-Ratio
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    csv, xls, sdmx, jsonAvailable download formats
    Dataset updated
    Apr 5, 2022
    Dataset authored and provided by
    Knoemahttp://knoema.com/
    Time period covered
    2007 - 2019
    Area covered
    Henan
    Variables measured
    Children Dependency Ratio (Sample Survey)
    Description

    31,3 (%) in 2019. Children Dependency Ratio also called children dependency coefficient, refers to the ratio of the children population to the working-age population, express in %. It describes the number of children population that every 100 people at working ages will take care of. The children dependency ratio is calculated with the following formula: (The population of children aged 0-14)/(The working-age population aged 15-64)*100%.

  8. Main purchase categories on AliExpress in Spain 2021, by age

    • statista.com
    Updated Jul 11, 2025
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    Statista (2025). Main purchase categories on AliExpress in Spain 2021, by age [Dataset]. https://www.statista.com/statistics/1242189/share-of-purchases-on-ali-express-by-category-and-group-age-in-spain/
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    Dataset updated
    Jul 11, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jun 1, 2021 - Jun 2, 2021
    Area covered
    Spain
    Description

    In 2021, household items were the most popular category in AliExpress among Spaniards aged 45 to 54. Meanwhile, clothing and accessories were most purchased by young adults, with more than ** percent of those between 18 and 24 years old stating that they had bought these products.

  9. Jiangxi Gross Dependency Ratio

    • hi.knoema.com
    csv, json, sdmx, xls
    Updated Apr 5, 2022
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    Knoema (2022). Jiangxi Gross Dependency Ratio [Dataset]. https://hi.knoema.com/atlas/China/Jiangxi/Gross-Dependency-Ratio
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    xls, json, sdmx, csvAvailable download formats
    Dataset updated
    Apr 5, 2022
    Dataset authored and provided by
    Knoemahttp://knoema.com/
    Time period covered
    2007 - 2019
    Area covered
    China, Jiangxi
    Variables measured
    Gross Dependency Ratio (Sample Survey)
    Description

    43.6 (%) in 2019. Gross Dependency Ratio also called gross dependency coefficient, refers to the ratio of non-working-age population to the working-age population, express in %. Describing in general the number of non-working-age population that every 100 people at working ages will take care of, this indicator reflects the basic relation between population and economic development from the demographic perspective. The gross dependency ratio is calculated with the following formula: (The population of children aged 0-14 + The elderly population aged 65 and over)/(The working-age population aged 15-64)*100%.

  10. Guizhou Gross Dependency Ratio

    • hi.knoema.com
    csv, json, sdmx, xls
    Updated Apr 5, 2022
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    Knoema (2022). Guizhou Gross Dependency Ratio [Dataset]. https://hi.knoema.com/atlas/China/Guizhou/Gross-Dependency-Ratio
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    json, sdmx, xls, csvAvailable download formats
    Dataset updated
    Apr 5, 2022
    Dataset authored and provided by
    Knoemahttp://knoema.com/
    Time period covered
    2007 - 2019
    Area covered
    Guizhou
    Variables measured
    Gross Dependency Ratio (Sample Survey)
    Description

    51.1 (%) in 2019. Gross Dependency Ratio also called gross dependency coefficient, refers to the ratio of non-working-age population to the working-age population, express in %. Describing in general the number of non-working-age population that every 100 people at working ages will take care of, this indicator reflects the basic relation between population and economic development from the demographic perspective. The gross dependency ratio is calculated with the following formula: (The population of children aged 0-14 + The elderly population aged 65 and over)/(The working-age population aged 15-64)*100%.

  11. Jiangsu Children Dependency Ratio

    • hi.knoema.com
    csv, json, sdmx, xls
    Updated May 14, 2021
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    Knoema (2021). Jiangsu Children Dependency Ratio [Dataset]. https://hi.knoema.com/atlas/Chine/Jiangsu/Children-Dependency-Ratio
    Explore at:
    sdmx, csv, xls, jsonAvailable download formats
    Dataset updated
    May 14, 2021
    Dataset authored and provided by
    Knoemahttp://knoema.com/
    Time period covered
    2007 - 2019
    Area covered
    Jiangsu
    Variables measured
    Children Dependency Ratio (Sample Survey)
    Description

    19.4 (%) in 2019. Children Dependency Ratio also called children dependency coefficient, refers to the ratio of the children population to the working-age population, express in %. It describes the number of children population that every 100 people at working ages will take care of. The children dependency ratio is calculated with the following formula: (The population of children aged 0-14)/(The working-age population aged 15-64)*100%.

  12. f

    Socio-demographic characteristics.

    • plos.figshare.com
    xls
    Updated Nov 17, 2023
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    Nkechinyere J. Uche; Onochie Okoye; Nkiru Kizor-Akaraiwe; Chimdi Chuka-Okosa; Enoch O. Uche (2023). Socio-demographic characteristics. [Dataset]. http://doi.org/10.1371/journal.pone.0289643.t001
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    xlsAvailable download formats
    Dataset updated
    Nov 17, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Nkechinyere J. Uche; Onochie Okoye; Nkiru Kizor-Akaraiwe; Chimdi Chuka-Okosa; Enoch O. Uche
    License

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

    Description

    BackgroundGenomic research advances the understanding of human health and disease. It also drives both the discovery of salient genetic association(s) as well as targeted screening, diagnostic and therapeutic strategies. Human subject participation is crucial for the success of genomic research.MethodsThis is a cross sectional analytical study conducted at two tertiary centers in Enugu Southeast Nigeria. Semi structured questionnaires were administered to eligible consenting participants. Data on their demographics, willingness to participate in genomic research and motivation for participation were obtained. Data was analyzed using Stata version 17 and summarized using median, frequencies and interquartile range(IQR). Associations between covariates were evaluated with Chi square test and multivariable logistic regression.ResultsAmong 228 glaucoma subjects who participated in our study,119(52.2%) were female and 109(47.8%) were male. The median age was 64 years(IQR = 50–76). Although 219 (96.0%) participants expressed willingness to participate in a glaucoma genetic study, only 27(11.9%) of them will be willing to participate if there will not be feedback of results to participants (χ2 = 18.59, P

  13. Inner Mongolia Gross Dependency Ratio

    • hi.knoema.com
    csv, json, sdmx, xls
    Updated Apr 5, 2022
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    Knoema (2022). Inner Mongolia Gross Dependency Ratio [Dataset]. https://hi.knoema.com/atlas/chine/inner-mongolia/gross-dependency-ratio
    Explore at:
    csv, xls, json, sdmxAvailable download formats
    Dataset updated
    Apr 5, 2022
    Dataset authored and provided by
    Knoemahttp://knoema.com/
    Time period covered
    2007 - 2019
    Area covered
    Inner Mongolia
    Variables measured
    Gross Dependency Ratio (Sample Survey)
    Description

    30.3 (%) in 2019. Gross Dependency Ratio also called gross dependency coefficient, refers to the ratio of non-working-age population to the working-age population, express in %. Describing in general the number of non-working-age population that every 100 people at working ages will take care of, this indicator reflects the basic relation between population and economic development from the demographic perspective. The gross dependency ratio is calculated with the following formula: (The population of children aged 0-14 + The elderly population aged 65 and over)/(The working-age population aged 15-64)*100%.

  14. f

    Demographic characteristics of participants.

    • plos.figshare.com
    xls
    Updated May 9, 2024
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    Eugenia Priscilla Doku Asare; Sandra Boatemaa Kushitor; Edward Kofi Sutherland; Millicent Ofori Boateng; Stephen Manortey (2024). Demographic characteristics of participants. [Dataset]. http://doi.org/10.1371/journal.pone.0303246.t001
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    xlsAvailable download formats
    Dataset updated
    May 9, 2024
    Dataset provided by
    PLOS ONE
    Authors
    Eugenia Priscilla Doku Asare; Sandra Boatemaa Kushitor; Edward Kofi Sutherland; Millicent Ofori Boateng; Stephen Manortey
    License

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

    Description

    BackgroundArt therapy allows people to express feelings about any subject through creative work. It is beneficial for people who feel out of touch with their emotions. In Ghana, little is known about art therapy as a therapeutic tool. Herbal treatment, biomedical and faith healing practices are the most common treatment options for mental health. This research aimed to provide new insights into clinical psychologists on their knowledge and use of art therapy in treating clients and identified the enablers and barriers in this therapeutic intervention.MethodTwenty-one clinical psychologists were sampled using the snowball sampling method. They were interviewed over the phone using a semi-structured interview guide which was developed based on the predefined study objectives. Thematic analysis was employed to analyze the data resulting in three central thematic areas.ResultsTwelve of the clinical psychologists were females and eight were male, with an age range between twenty-five to fifty years. The major themes identified were knowledge of art therapy, the use of art therapy and enablers and barriers in using art therapy. The study revealed that clinical psychologists had limited knowledge of art therapy mainly due to lack of training. With the use of art therapy, the participants revealed that they had used some form of art therapy before and they perceived art therapy to be effective on their clients however, they demonstrated low confidence in using it. Practitioner training and the availability of art therapy-related resources were identified as both facilitators and hindrances to the use of art therapy.ConclusionClinical Psychologists are cognizant of art therapy albeit they have limited knowledge. Therefore, training in how to use art therapy and the availability of resources to facilitate art therapy can be provided for Clinical Psychologists by the Ghana Mental Health Authority.

  15. Inner Mongolia Old Dependency Ratio

    • hi.knoema.com
    csv, json, sdmx, xls
    Updated Apr 5, 2022
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    Knoema (2022). Inner Mongolia Old Dependency Ratio [Dataset]. https://hi.knoema.com/atlas/Chine/Inner-Mongolia/Old-Dependency-Ratio
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    sdmx, csv, xls, jsonAvailable download formats
    Dataset updated
    Apr 5, 2022
    Dataset authored and provided by
    Knoemahttp://knoema.com/
    Time period covered
    2007 - 2019
    Area covered
    China
    Variables measured
    Old Dependency Ratio (Sample Survey)
    Description

    13.3 (%) in 2019. Old Dependency Ratio also called old dependency coefficient, refers to the ratio of the elderly population to the working-age population, express in %. It describes the number of the elderly population that every 100 people at working ages will take care of. Old dependency ratio is one of the indicators reflecting the social implication of population aging from the economic perspective. The old dependency ratio is calculated with the following formula: (The elderly population aged 65 and over)/(The working-age population aged 15-64)*100%.

  16. Shaanxi Children Dependency Ratio

    • hi.knoema.com
    csv, json, sdmx, xls
    Updated May 14, 2021
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    Knoema (2021). Shaanxi Children Dependency Ratio [Dataset]. https://hi.knoema.com/atlas/%D0%9A%D0%B8%D1%82%D0%B0%D0%B9/Shaanxi/Children-Dependency-Ratio
    Explore at:
    json, sdmx, csv, xlsAvailable download formats
    Dataset updated
    May 14, 2021
    Dataset authored and provided by
    Knoemahttp://knoema.com/
    Time period covered
    2007 - 2019
    Area covered
    Shaanxi
    Variables measured
    Children Dependency Ratio (Sample Survey)
    Description

    19.8 (%) in 2019. Children Dependency Ratio also called children dependency coefficient, refers to the ratio of the children population to the working-age population, express in %. It describes the number of children population that every 100 people at working ages will take care of. The children dependency ratio is calculated with the following formula: (The population of children aged 0-14)/(The working-age population aged 15-64)*100%.

  17. f

    Test of association between the willingness to participate and...

    • figshare.com
    xls
    Updated Nov 17, 2023
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    Nkechinyere J. Uche; Onochie Okoye; Nkiru Kizor-Akaraiwe; Chimdi Chuka-Okosa; Enoch O. Uche (2023). Test of association between the willingness to participate and Socio-demographics using the chi square test. [Dataset]. http://doi.org/10.1371/journal.pone.0289643.t003
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Nov 17, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Nkechinyere J. Uche; Onochie Okoye; Nkiru Kizor-Akaraiwe; Chimdi Chuka-Okosa; Enoch O. Uche
    License

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

    Description

    Test of association between the willingness to participate and Socio-demographics using the chi square test.

  18. Share of the population using AI in France in 2024, by use type

    • statista.com
    Updated Jul 9, 2025
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    Statista (2025). Share of the population using AI in France in 2024, by use type [Dataset]. https://www.statista.com/statistics/1609010/france-ai-usage-by-type/
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    Dataset updated
    Jul 9, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jul 5, 2024 - Aug 6, 2024
    Area covered
    France
    Description

    Artificial intelligence (AI) is making inroads in France, with ********* of respondents reporting AI usage in 2024. This adoption spans both personal and professional spheres, as ** percent have employed AI in their private lives, while ** percent have utilized it for work or studies. The integration of AI into daily life marks a significant shift in how French citizens interact with technology. Demographic differences in AI adoption Age and gender play crucial roles in AI usage patterns across France. Younger generations are at the forefront of AI adoption, with nearly ** percent of ** to 24-year-olds using AI in their private lives, compared to only ** percent of those aged 40 to 59. Similarly, men are more likely to embrace AI technology, with ** percent using it in their personal lives versus ** percent of women. These disparities highlight the need for targeted efforts to promote AI literacy and accessibility across all demographics. Trust levels and AI experience Experience with AI significantly impacts trust levels among French citizens. Nearly ** percent of AI users report high or moderate trust in the technology, while only ** percent of non-users express similar confidence. This trust gap extends across age groups, with over ** percent of ** to 24-year-olds showing high or moderate trust in AI, compared to just ** percent of those aged 60 to 69. Gender also influences trust levels, as ** percent of men express high or moderate trust in AI, versus ** percent of women. These findings underscore the importance of hands-on AI experience in building public trust and acceptance.

  19. Visa, Mastercard, Amex, Discover market share against each other in U.S....

    • statista.com
    • ai-chatbox.pro
    Updated Jun 30, 2025
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    Statista (2025). Visa, Mastercard, Amex, Discover market share against each other in U.S. 2007-2024 [Dataset]. https://www.statista.com/statistics/279469/market-share-of-credit-card-companies-in-the-united-states-by-purchase-volume/
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    Dataset updated
    Jun 30, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Feb 2025
    Area covered
    United States
    Description

    Visa's U.S. market share increased during the coronavirus pandemic, mostly as Americans used more debit cards. This is according to estimates based on the transaction volume of general purpose credit and debit cards issued in the United States. Visa's market share strengthened as time went by, moving from a roughly ** percent market share in 2007 to more than ** percent by 2022. This is likely because of the growing use of debit cards in the U.S. — causing the market share of American Express to decline. Debit cards grow faster than credit cards in the U.S. The number of cards issued by Visa reveals a growth disparity between their debit cards and their credit cards. The number of Visa issued debit cards in circulation in the U.S. in Q2 2023 had increased by *** percent when compared to the same period in the previous year. This growth figure was *** percent for U.S. Visa issued credit cards during the same period. By the second quarter, the United States had over *** million debit cards from Visa against roughly *** million Visa credit cards. Who uses debit cards in the United States? A three-year survey stated more than ***** out of 10 respondents from the United States owned a debit card in 2021, with only ** percent actually having used one. Women were much more likely than men to own such a payment card. Gen Z — or the age group 15 to 24 years in this survey — was less likely to own a debit card than their older counterparts, although their ownership of debit cards was much higher when compared to Gen Z credit card ownership.

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

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Statista (2022). Reach of the Daily Express and Sunday Express in the United Kingdom 2019-2020 [Dataset]. https://www.statista.com/statistics/380705/daily-express-sunday-express-monthly-reach-by-demographic-uk/
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Reach of the Daily Express and Sunday Express in the United Kingdom 2019-2020

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Dataset updated
Feb 4, 2022
Dataset authored and provided by
Statistahttp://statista.com/
Time period covered
Apr 2019 - Mar 2020
Area covered
United Kingdom
Description

The Daily Express had a monthly audience of around 2.7 million individuals from April 2019 to March 2020 in the United Kingdom. Reach was higher among adults over the age of 35 than for the 15 to 35 age group, with 20.18 million and four million readers respectively.

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