55 datasets found
  1. Instagram: distribution of global audiences 2024, by age and gender

    • statista.com
    • davegsmith.com
    Updated Jun 17, 2025
    + more versions
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    Stacy Jo Dixon (2025). Instagram: distribution of global audiences 2024, by age and gender [Dataset]. https://www.statista.com/topics/1164/social-networks/
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    Dataset updated
    Jun 17, 2025
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Stacy Jo Dixon
    Description

    As of April 2024, around 16.5 percent of global active Instagram users were men between the ages of 18 and 24 years. More than half of the global Instagram population worldwide was aged 34 years or younger.

                  Teens and social media
    
                  As one of the biggest social networks worldwide, Instagram is especially popular with teenagers. As of fall 2020, the photo-sharing app ranked third in terms of preferred social network among teenagers in the United States, second to Snapchat and TikTok. Instagram was one of the most influential advertising channels among female Gen Z users when making purchasing decisions. Teens report feeling more confident, popular, and better about themselves when using social media, and less lonely, depressed and anxious.
                  Social media can have negative effects on teens, which is also much more pronounced on those with low emotional well-being. It was found that 35 percent of teenagers with low social-emotional well-being reported to have experienced cyber bullying when using social media, while in comparison only five percent of teenagers with high social-emotional well-being stated the same. As such, social media can have a big impact on already fragile states of mind.
    
  2. s

    Which Gender Uses Social Media More By Region?

    • searchlogistics.com
    Updated Apr 1, 2025
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    (2025). Which Gender Uses Social Media More By Region? [Dataset]. https://www.searchlogistics.com/learn/statistics/social-media-addiction-statistics/
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    Dataset updated
    Apr 1, 2025
    License

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

    Description

    Regional use of social media has a significant effect on the male and female social media statistics.

  3. f

    Dataset for paper: Body Positivity but not for everyone

    • sussex.figshare.com
    txt
    Updated May 31, 2023
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    Kathleen Simon; Megan Hurst (2023). Dataset for paper: Body Positivity but not for everyone [Dataset]. http://doi.org/10.25377/sussex.9885644.v1
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    txtAvailable download formats
    Dataset updated
    May 31, 2023
    Dataset provided by
    University of Sussex
    Authors
    Kathleen Simon; Megan Hurst
    License

    Attribution-NonCommercial-ShareAlike 4.0 (CC BY-NC-SA 4.0)https://creativecommons.org/licenses/by-nc-sa/4.0/
    License information was derived automatically

    Description

    Data for a Brief Report/Short Communication published in Body Image (2021). Details of the study are included below via the abstract from the manuscript. The dataset includes online experimental data from 167 women who were recruited via social media and institutional participant pools. The experiment was completed in Qualtrics.Women viewed either neutral travel images (control), body positivity posts with an average-sized model (e.g., ~ UK size 14), or body positivity posts with a larger model (e.g., UK size 18+); which images women viewed is show in the ‘condition’ variable in the data.The data includes the age range, height, weight, calculated BMI, and Instagram use of participants. After viewing the images, women responded to the Positive and Negative Affect Schedule (PANAS), a state version of the Body Satisfaction Scale (BSS), and reported their immediate social comparison with the images (SAC items). Women then selected a lunch for themselves from a hypothetical menu; these selections are detailed in the data, as are the total calories calculated from this and the proportion of their picks which were (provided as a percentage, and as a categorical variable [as used in the paper analyses]). Women also reported whether they were on a special diet (e.g., vegan or vegetarian), had food intolerances, when they last ate, and how hungry they were.

    Women also completed trait measures of Body Appreciation (BAS-2) and social comparison (PACS-R). Women also were asked to comment on what they thought the experiment was about. Items and computed scales are included within the dataset.This item includes the dataset collected for the manuscript (in SPSS and CSV formats), the variable list for the CSV file (for users working with the CSV datafile; the variable list and details are contained within the .sav file for the SPSS version), and the SPSS syntax for our analyses (.sps). Also included are the information and consent form (collected via Qualtrics) and the questions as completed by participants (both in pdf format).Please note that the survey order in the PDF is not the same as in the datafiles; users should utilise the variable list (either in CSV or SPSS formats) to identify the items in the data.The SPSS syntax can be used to replicate the analyses reported in the Results section of the paper. Annotations within the syntax file guide the user through these.

    A copy of SPSS Statistics is needed to open the .sav and .sps files.

    Manuscript abstract:

    Body Positivity (or ‘BoPo’) social media content may be beneficial for women’s mood and body image, but concerns have been raised that it may reduce motivation for healthy behaviours. This study examines differences in women’s mood, body satisfaction, and hypothetical food choices after viewing BoPo posts (featuring average or larger women) or a neutral travel control. Women (N = 167, 81.8% aged 18-29) were randomly assigned in an online experiment to one of three conditions (BoPo-average, BoPo-larger, or Travel/Control) and viewed three Instagram posts for two minutes, before reporting their mood and body satisfaction, and selecting a meal from a hypothetical menu. Women who viewed the BoPo posts featuring average-size women reported more positive mood than the control group; women who viewed posts featuring larger women did not. There were no effects of condition on negative mood or body satisfaction. Women did not make less healthy food choices than the control in either BoPo condition; women who viewed the BoPo images of larger women showed a stronger association between hunger and calories selected. These findings suggest that concerns over BoPo promoting unhealthy behaviours may be misplaced, but further research is needed regarding women’s responses to different body sizes.

  4. s

    Which Gender Uses Social Media More By Platform?

    • searchlogistics.com
    Updated Apr 1, 2025
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    (2025). Which Gender Uses Social Media More By Platform? [Dataset]. https://www.searchlogistics.com/learn/statistics/social-media-addiction-statistics/
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    Dataset updated
    Apr 1, 2025
    License

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

    Description

    The results of which gender uses which platforms are in.

  5. Instagram: distribution of global audiences 2024, by gender

    • statista.com
    • davegsmith.com
    Updated Jun 17, 2025
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    Stacy Jo Dixon (2025). Instagram: distribution of global audiences 2024, by gender [Dataset]. https://www.statista.com/topics/1164/social-networks/
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    Dataset updated
    Jun 17, 2025
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Stacy Jo Dixon
    Description

    As of January 2024, Instagram was slightly more popular with men than women, with men accounting for 50.6 percent of the platform’s global users. Additionally, the social media app was most popular amongst younger audiences, with almost 32 percent of users aged between 18 and 24 years.

                  Instagram’s Global Audience
    
                  As of January 2024, Instagram was the fourth most popular social media platform globally, reaching two billion monthly active users (MAU). This number is projected to keep growing with no signs of slowing down, which is not a surprise as the global online social penetration rate across all regions is constantly increasing.
                  As of January 2024, the country with the largest Instagram audience was India with 362.9 million users, followed by the United States with 169.7 million users.
    
                  Who is winning over the generations?
    
                  Even though Instagram’s audience is almost twice the size of TikTok’s on a global scale, TikTok has shown itself to be a fierce competitor, particularly amongst younger audiences. TikTok was the most downloaded mobile app globally in 2022, generating 672 million downloads. As of 2022, Generation Z in the United States spent more time on TikTok than on Instagram monthly.
    
  6. U.S. social media audience distribution 2025, by gender

    • statista.com
    Updated Apr 8, 2025
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    Statista (2025). U.S. social media audience distribution 2025, by gender [Dataset]. https://www.statista.com/statistics/1319300/us-social-media-audience-by-gender/
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    Dataset updated
    Apr 8, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Feb 2025
    Area covered
    United States
    Description

    As of February 2025, 50.2 percent of social media users in the United States were women, and 49.8 percent of users were men. In 2024, there were an estimated 304 million social media users in the country.

  7. s

    Social Media Usage By Age

    • searchlogistics.com
    Updated Apr 1, 2025
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    (2025). Social Media Usage By Age [Dataset]. https://www.searchlogistics.com/learn/statistics/social-media-addiction-statistics/
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    Dataset updated
    Apr 1, 2025
    License

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

    Description

    Gen Z and Millennials are the biggest social media users of all age groups.

  8. s

    Social Media Worldwide Usage Statistics

    • searchlogistics.com
    Updated Apr 1, 2025
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    (2025). Social Media Worldwide Usage Statistics [Dataset]. https://www.searchlogistics.com/learn/statistics/social-media-addiction-statistics/
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    Dataset updated
    Apr 1, 2025
    License

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

    Description

    56.8% of the world’s total population is active on social media.

  9. h

    Data in the paper titled "#WuhanDiary and #WuhanLockdown: gendered posting...

    • datahub.hku.hk
    txt
    Updated May 31, 2023
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    King Wa Fu; Sara Davies; Karen Ann Grépin; Clare Wenham; Connie Gan; Feng Shuo (2023). Data in the paper titled "#WuhanDiary and #WuhanLockdown: gendered posting patterns and behaviours on Weibo during the COVID-19 pandemic" [Dataset]. http://doi.org/10.25442/hku.19487396.v1
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    txtAvailable download formats
    Dataset updated
    May 31, 2023
    Dataset provided by
    HKU Data Repository
    Authors
    King Wa Fu; Sara Davies; Karen Ann Grépin; Clare Wenham; Connie Gan; Feng Shuo
    License

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

    Description

    Social media can be both a source of information and misinformation during health emergencies. During the COVID-19 pandemic, social media became a ubiquitous tool for people to communicate and represents a rich source of data researchers can use to analyse users’ experiences, knowledge and sentiments. Research on social media posts during COVID-19 has identified, to date, the perpetuity of traditional gendered norms and experiences. Yet these studies are mostly based on Western social media platforms. Little is known about gendered experiences of lockdown communicated on non-Western social media platforms. Using data from Weibo, China’s leading social media platform, we examine gendered user patterns and sentiment during the first wave of the pandemic between 1 January 2020 and 1 July 2020. We find that Weibo posts by self-identified women and men conformed with some gendered norms identified on other social media platforms during the COVID-19 pandemic (posting patterns and keyword usage) but not all (sentiment). This insight may be important for targeted public health messaging on social media during future health emergencies.To cite: Gan CCR, Feng SA, Feng H, et al. #WuhanDiary and #WuhanLockdown: gendered posting patterns and behaviours on Weibo during the COVID-19 pandemic. BMJ Global Health 2022;0:e008149. doi:10.1136/bmjgh-2021-008149

  10. s

    How Many Social Media Accounts Does The Average Person Have?

    • searchlogistics.com
    Updated Apr 1, 2025
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    (2025). How Many Social Media Accounts Does The Average Person Have? [Dataset]. https://www.searchlogistics.com/learn/statistics/social-media-addiction-statistics/
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    Dataset updated
    Apr 1, 2025
    License

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

    Description

    The average person has 8-9 social media accounts. This has doubled since 2013, when the average person just had 4-5 accounts.

  11. Gender distribution of social media audiences worldwide 2025, by platform

    • statista.com
    • ai-chatbox.pro
    • +1more
    Updated Mar 13, 2025
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    Statista (2025). Gender distribution of social media audiences worldwide 2025, by platform [Dataset]. https://www.statista.com/statistics/274828/gender-distribution-of-active-social-media-users-worldwide-by-platform/
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    Dataset updated
    Mar 13, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Feb 2025
    Area covered
    Worldwide
    Description

    As of February 2025, X/Twitter was the social network with the highest share of male users, who accounted for 63.7 percent of global users. Overall, social media platforms were had more male users than female users.

  12. s

    How Much Time Do People Spend On Social Media?

    • searchlogistics.com
    Updated Apr 1, 2025
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    (2025). How Much Time Do People Spend On Social Media? [Dataset]. https://www.searchlogistics.com/learn/statistics/social-media-addiction-statistics/
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    Dataset updated
    Apr 1, 2025
    License

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

    Description

    Today the average time spent on social media is 2 hours and 24 minutes today for people aged 16 to 64.

  13. S

    Social Media Addiction Statistics

    • searchlogistics.com
    Updated Apr 1, 2025
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    Search Logistics (2025). Social Media Addiction Statistics [Dataset]. https://www.searchlogistics.com/learn/statistics/social-media-addiction-statistics/
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    Dataset updated
    Apr 1, 2025
    Dataset authored and provided by
    Search Logistics
    License

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

    Description

    In this post, I'll give you all the social media addiction statistics you need to be aware of to moderate your social media use.

  14. H

    Replication data for: News about Her: The Effects of Media Freedom and...

    • dataverse.harvard.edu
    application/x-stata +3
    Updated Mar 29, 2016
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    Harvard Dataverse (2016). Replication data for: News about Her: The Effects of Media Freedom and Internet Access on Women’s Rights [Dataset]. http://doi.org/10.7910/DVN/OYZFRY
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    pdf(387342), application/x-stata-syntax(2965), application/x-stata(1038954), png(23139)Available download formats
    Dataset updated
    Mar 29, 2016
    Dataset provided by
    Harvard Dataverse
    License

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

    Description

    Human rights organizations have long heralded media freedom as critical to holding government accountable and thereby improving a wide range of human rights. Similarly the Internet and social media are assumed to empower citizens by enabling them to document repression and thereby discourage future abuse. So what does this mean for women’s rights? I propose that when it comes to women’s rights, the combination of media freedom and Internet access will make a difference and that the effect of media freedom will depend on Internet access. I test my hypotheses across countries and over time, and find that the interaction of Internet access and media freedom has positive effects on women’s rights regardless of regime type.

  15. NYC Women's Resource Network Database

    • kaggle.com
    • data.cityofnewyork.us
    • +3more
    Updated Dec 13, 2020
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    Ashwani Rathee (2020). NYC Women's Resource Network Database [Dataset]. https://www.kaggle.com/ashkhagan/nyc-womens-resource-network-database/activity
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Dec 13, 2020
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Ashwani Rathee
    License

    https://www.usa.gov/government-works/https://www.usa.gov/government-works/

    Area covered
    New York
    Description

    The NYC Women's Resource Network is a free, user-friendly database of over 1,000 nonprofit organizations and governmental agencies that work to advance and benefit women and families in New York City. A user can tailor their search by keyword, category, and/or borough to receive a customized listing of organizations that address their needs.

  16. d

    Data from: Women are seen more than heard in online newspapers

    • search.dataone.org
    • data.niaid.nih.gov
    • +1more
    Updated Apr 4, 2025
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    Sen Jia; Thomas Lansdall-Welfare; Saatviga Sudhahar; Cynthia Carter; Nello Cristianini (2025). Women are seen more than heard in online newspapers [Dataset]. http://doi.org/10.5061/dryad.p8s0j
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    Dataset updated
    Apr 4, 2025
    Dataset provided by
    Dryad Digital Repository
    Authors
    Sen Jia; Thomas Lansdall-Welfare; Saatviga Sudhahar; Cynthia Carter; Nello Cristianini
    Time period covered
    Jan 1, 2016
    Description

    Feminist news media researchers have long contended that masculine news values shape journalists’ quotidian decisions about what is newsworthy. As a result, it is argued, topics and issues traditionally regarded as primarily of interest and relevance to women are routinely marginalised in the news, while men’s views and voices are given privileged space. When women do show up in the news, it is often as “eye candy,†thus reinforcing women’s value as sources of visual pleasure rather than residing in the content of their views. To date, evidence to support such claims has tended to be based on small-scale, manual analyses of news content. In this article, we report on findings from our large-scale, data-driven study of gender representation in online English language news media. We analysed both words and images so as to give a broader picture of how gender is represented in online news. The corpus of news content examined consists of 2,353,652 articles collected over a period of six mon...

  17. H

    Replication Data for: How Does Media Influence Social Norms? Experimental...

    • dataverse.harvard.edu
    • search.dataone.org
    Updated Dec 6, 2017
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    Eric Arias (2017). Replication Data for: How Does Media Influence Social Norms? Experimental Evidence on the Role of Common Knowledge [Dataset]. http://doi.org/10.7910/DVN/YAIXFQ
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Dec 6, 2017
    Dataset provided by
    Harvard Dataverse
    Authors
    Eric Arias
    License

    https://dataverse.harvard.edu/api/datasets/:persistentId/versions/1.0/customlicense?persistentId=doi:10.7910/DVN/YAIXFQhttps://dataverse.harvard.edu/api/datasets/:persistentId/versions/1.0/customlicense?persistentId=doi:10.7910/DVN/YAIXFQ

    Description

    How does media influence beliefs, attitudes, and behaviors? While many scholars have studied the effect of media on social and political outcomes, we know surprisingly little about the channels through which this effect operates. I argue that two mechanisms can account for its impact. Media provides new information that persuades individuals to accept it (individual channel), but also, media informs listeners about what others learn, thus facilitating coordination (social channel). Combining a field experiment with a plausibly natural experiment in Mexico, I disentangle these effects analyzing norms surrounding violence against women. I examine the effect of a radio program when it is transmitted privately versus when it is transmitted publicly. I find no evidence supporting the individual mechanism. The social channel, however, increased rejection of violence against women and increased support for gender equality, but unexpectedly increased pessimism about whether violence would decline in the future.

  18. f

    Data_Sheet_2_One Social Media Company to Rule Them All: Associations Between...

    • frontiersin.figshare.com
    xlsx
    Updated Jun 3, 2023
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    Davide Marengo; Cornelia Sindermann; Jon D. Elhai; Christian Montag (2023). Data_Sheet_2_One Social Media Company to Rule Them All: Associations Between Use of Facebook-Owned Social Media Platforms, Sociodemographic Characteristics, and the Big Five Personality Traits.xlsx [Dataset]. http://doi.org/10.3389/fpsyg.2020.00936.s002
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    xlsxAvailable download formats
    Dataset updated
    Jun 3, 2023
    Dataset provided by
    Frontiers
    Authors
    Davide Marengo; Cornelia Sindermann; Jon D. Elhai; Christian Montag
    License

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

    Description

    Currently, 2.7 billion people use at least one of the Facebook-owned social media platforms – Facebook, WhatsApp, and Instagram. Previous research investigating individual differences between users and non-users of these platforms has typically focused on one platform. However, individuals typically use a combination of Facebook-owned platforms. Therefore, we aim (1) to identify the relative prevalence of different patterns of social media use, and (2) to evaluate potential between-group differences in the distributions of age, gender, education, and Big Five personality traits. Data collection was performed using a cross-sectional design. Specifically, we administered a survey assessing participants’ demographic variables, current use of Facebook-owned platforms, and Big Five personality traits. In N = 3003 participants from the general population (60.67% females; mean age = 35.53 years, SD = 13.53), WhatsApp emerged as the most widely used application in the sample, and hence, has the strongest reach. A pattern consisting of a combined use of WhatsApp and Instagram appeared to be most prevalent among the youngest participants. Further, individuals using at least one social media platform were generally younger, more often female, and more extraverted than non-users. Small differences in Conscientiousness and Neuroticism also emerged across groups reporting different combinations of social media use. Interestingly, when examined as control variables, we found demographic characteristics partially accounted for differences in broad personality factors and facets across different patterns of social media use. Our findings are relevant to researchers carrying out their studies via social media platforms, as sample characteristics appear to be different depending on the platform used.

  19. Gender Statistics 2022 - World Bank

    • kaggle.com
    Updated Oct 23, 2022
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    Azmine Toushik Wasi (2022). Gender Statistics 2022 - World Bank [Dataset]. https://www.kaggle.com/datasets/azminetoushikwasi/gender-statistics-wb/versions/5
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Oct 23, 2022
    Dataset provided by
    Kaggle
    Authors
    Azmine Toushik Wasi
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Description

    Context

    This dataset contains all the stats of Gender Statistics 2022 - World Bank.

    Details

    The Gender Statistics database is a comprehensive source for the latest sex-disaggregated data and gender statistics covering demography, education, health, access to economic opportunities, public life and decision-making, and agency.

    Wage and salaried workers (employees) are those workers who hold the type of jobs defined as "paid employment jobs," where the incumbents hold explicit (written or oral) or implicit employment contracts that give them a basic remuneration that is not directly dependent upon the revenue of the unit for which they work. Contraceptive prevalence rate is the percentage of women who are practicing, or whose sexual partners are practicing, at least one modern method of contraception. It is usually measured for women ages 15-49 who are married or in union. Modern methods of contraception include female and male sterilization, oral hormonal pills, the intra-uterine device (IUD), the male condom, injectables, the implant (including Norplant), vaginal barrier methods, the female condom and emergency contraception.

    Number of male sole proprietors is the number of newly registered sole proprietors owned by female individuals in the calendar year. A sole proprietorship is a business entity owned and managed by a single individual who is indistinguishable from the business and personally liable.

    Percentage of women aged 15–49 who have gone through partial or total removal of the female external genitalia or other injury to the female genital organs for cultural or other non-therapeutic reasons. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households. Completeness of birth registration is the percentage of children under age 5 whose births were registered at the time of the survey. The numerator of completeness of birth registration includes children whose birth certificate was seen by the interviewer or whose mother or caretaker says the birth has been registered. Women who own house both alone and jointly (% of women age 15-49): Q4 is the percentage of women age 15-49 who alone as well as jointly with someone else own a house which is legally registered with their name or cannot be sold without their signature. "Both alone and jointly" Implies a woman owns a house alone and another house jointly with someone else. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.

    Number of infants dying before reaching one year of age. Male population between the ages 75 to 79.

    The percentage of respondents who report using mobile money, a debit or credit card, or a mobile phone to make a payment from an account, or report using the internet to pay bills or to buy something online, in the past 12 months. It also includes respondents who report paying bills, sending or receiving remittances, receiving payments for agricultural products, receiving government transfers, receiving wages, or receiving a public sector pension directly from or into a financial institution account or through a mobile money account in the past 12 months, male (% age 15+).

    Rural population refers to people living in rural areas as defined by national statistical offices. It is calculated as the difference between total population and urban population.

    Metadata

    Coverage & Extent

    • Granularity List : National
    • Temporal Coverage : 1959 - 2021
    • Periodicity : Annual
    • Acronym : Gender Stats
    • Recommended Citation: Gender Statistics, The World Bank
    • Languages Supported : English
    • Source Type : World Bank Group
    • Source: : Gender Statistics, The World Bank
    • Harvest Source : World Bank Data API
    • Dates
      • First Published Date : Jul 18, 2010
      • Last Updated on : Jun 22, 2022
    • Update Frequency : Quarter

    Download

    kaggle API Command !kaggle datasets download -d azminetoushikwasi/gender-statistics-wb

    Disclaimer

    The data collected are all publicly available and it's intended for educational purposes only.

    Acknowledgement

    https://datacatalog.worldbank.org/search/dataset/0037654

  20. n

    Data from: Disgustingly Pink

    • curate.nd.edu
    pdf
    Updated Apr 29, 2025
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    Emma McKay Ryan (2025). Disgustingly Pink [Dataset]. http://doi.org/10.7274/28883249.v1
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    pdfAvailable download formats
    Dataset updated
    Apr 29, 2025
    Dataset provided by
    University of Notre Dame
    Authors
    Emma McKay Ryan
    License

    https://www.law.cornell.edu/uscode/text/17/106https://www.law.cornell.edu/uscode/text/17/106

    Description

    From “get ready with me” videos to reels of “the 7 essentials you need in your purse right now,” and “the latest fashion trends,” young women and teenage girls’ TikTok and Instagram feeds are filled with all the ways they need to better themselves. At first glance, these posts seem harmless; however, seeing video after video of how you need to better your life in unachievable ways leaves the self feeling inadequate.

    The beauty industry is a multi-billion-dollar industry that is expected to reach almost $736 billion in global revenue by 2028. Making up more than 20 percent of the entire e-commerce market, the beauty industry has been propelled by the expansion of social media since the COVID-19 Pandemic. Feminist artists like Martha Rosler began critiquing the problems associated with the beauty industry back in the 70s, but the problem of marketing to women has only grown since. Sophisticated algorithms, propelled by watching their users’ every move, project enviable lifestyles through influencers' perfectly lit, clean, and hypnotic videos and posts. Today, the targeted social media ads, influencers promoting products, and videos telling women how to create “the perfect life” cause young women, and even younger girls, to self-objectify.

    Through mixed media drawings, I expose the absurdity of the beauty industry propelled by social media by exaggerating the images we are exposed to every day. I juxtapose digital elements of social media against drawn marks that masquerade as beauty products. Oftentimes only fragments of the image are rendered to completion, coinciding with the ways in which women are picked apart and objectified in the media. By mixing figuration and abstraction and calling on feminist theorists, I highlight the internal conflict that arises from the critical self-evaluation that I, and many other young women, have grown accustomed to with the use of the internet and social media.

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Stacy Jo Dixon (2025). Instagram: distribution of global audiences 2024, by age and gender [Dataset]. https://www.statista.com/topics/1164/social-networks/
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Instagram: distribution of global audiences 2024, by age and gender

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Dataset updated
Jun 17, 2025
Dataset provided by
Statistahttp://statista.com/
Authors
Stacy Jo Dixon
Description

As of April 2024, around 16.5 percent of global active Instagram users were men between the ages of 18 and 24 years. More than half of the global Instagram population worldwide was aged 34 years or younger.

              Teens and social media

              As one of the biggest social networks worldwide, Instagram is especially popular with teenagers. As of fall 2020, the photo-sharing app ranked third in terms of preferred social network among teenagers in the United States, second to Snapchat and TikTok. Instagram was one of the most influential advertising channels among female Gen Z users when making purchasing decisions. Teens report feeling more confident, popular, and better about themselves when using social media, and less lonely, depressed and anxious.
              Social media can have negative effects on teens, which is also much more pronounced on those with low emotional well-being. It was found that 35 percent of teenagers with low social-emotional well-being reported to have experienced cyber bullying when using social media, while in comparison only five percent of teenagers with high social-emotional well-being stated the same. As such, social media can have a big impact on already fragile states of mind.
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